Electronic Journal of Probability Articles (Project Euclid)
http://projecteuclid.org/euclid.ejp
The latest articles from Electronic Journal of Probability on Project Euclid, a site for mathematics and statistics resources.en-usCopyright 2016 Cornell University LibraryEuclid-L@cornell.edu (Project Euclid Team)Mon, 25 Jan 2016 16:14 ESTMon, 25 Jan 2016 16:14 ESThttp://projecteuclid.org/collection/euclid/images/logo_linking_100.gifProject Euclid
http://projecteuclid.org/
Lévy Classes and Self-Normalization
http://projecteuclid.org/euclid.ejp/1453756464
<strong>Davar Khoshnevisan</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 1, 18 pp..</p><p><strong>Abstract:</strong><br/>
We prove a Chung's law of the iterated logarithm for recurrent linear Markov processes. In order to attain this level of generality, our normalization is random. In particular, when the Markov process in question is a diffusion, we obtain the integral test corresponding to a law of the iterated logarithm due to Knight.
</p>projecteuclid.org/euclid.ejp/1453756464_20160125161428Mon, 25 Jan 2016 16:14 ESTRough linear PDE’s with discontinuous coefficients – existence of solutions via regularization by fractional Brownian motionhttps://projecteuclid.org/euclid.ejp/1584669820<strong>Torstein Nilssen</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 33 pp..</p><p><strong>Abstract:</strong><br/>
We consider two related linear PDE’s perturbed by a fractional Brownian motion. We allow the drift to be discontinuous, in which case the corresponding deterministic equation is ill-posed. However, the noise will be shown to have a regularizing effect on the equations in the sense that we can prove existence of solutions for almost all paths of the fractional Brownian motion.
</p>projecteuclid.org/euclid.ejp/1584669820_20200710220150Fri, 10 Jul 2020 22:01 EDTNonlinear diffusion equations with nonlinear gradient noisehttps://projecteuclid.org/euclid.ejp/1585101794<strong>Konstantinos Dareiotis</strong>, <strong>Benjamin Gess</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 43 pp..</p><p><strong>Abstract:</strong><br/>
We prove the existence and uniqueness of entropy solutions for nonlinear diffusion equations with nonlinear conservative gradient noise. As particular applications our results include stochastic porous media equations, as well as the one-dimensional stochastic mean curvature flow in graph form.
</p>projecteuclid.org/euclid.ejp/1585101794_20200710220150Fri, 10 Jul 2020 22:01 EDTSemimartingales on duals of nuclear spaceshttps://projecteuclid.org/euclid.ejp/1585188065<strong>Christian A. Fonseca-Mora</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 24 pp..</p><p><strong>Abstract:</strong><br/>
This work is devoted to the study of semimartingales on the dual of a general nuclear space. We start by establishing conditions for a cylindrical semimartingale in the strong dual $\Phi '$ of a nuclear space $\Phi $ to have a $\Phi '$-valued semimartingale version whose paths are right-continuous with left limits. Results of similar nature but for more specific classes of cylindrical semimartingales and examples are also provided. Later, we will show that under some general conditions every semimartingale taking values in the dual of a nuclear space has a canonical representation. The concept of predictable characteristics is introduced and is used to establish necessary and sufficient conditions for a $\Phi '$-valued semimartingale to be a $\Phi '$-valued Lévy process.
</p>projecteuclid.org/euclid.ejp/1585188065_20200710220150Fri, 10 Jul 2020 22:01 EDTExponential functionals of Markov additive processeshttps://projecteuclid.org/euclid.ejp/1585274716<strong>Anita Behme</strong>, <strong>Apostolos Sideris</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 25 pp..</p><p><strong>Abstract:</strong><br/>
We provide necessary and sufficient conditions for convergence of exponential integrals of Markov additive processes. By contrast with the classical Lévy case studied by Erickson and Maller we have to distinguish between almost sure convergence and convergence in probability. Our proofs rely on recent results on perpetuities in a Markovian environment by Alsmeyer and Buckmann.
</p>projecteuclid.org/euclid.ejp/1585274716_20200710220150Fri, 10 Jul 2020 22:01 EDTA stochastic sewing lemma and applicationshttps://projecteuclid.org/euclid.ejp/1585620093<strong>Khoa Lê</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 55 pp..</p><p><strong>Abstract:</strong><br/>
We introduce a stochastic version of Gubinelli’s sewing lemma ([18]), providing a sufficient condition for the convergence in moments of some random Riemann sums. Compared with the deterministic sewing lemma, adaptiveness is required and the regularity restriction is improved by a half. The limiting process exhibits a Doob-Meyer-type decomposition. Relations with Itô calculus are established. To illustrate further potential applications, we use the stochastic sewing lemma in studying stochastic differential equations driven by Brownian motions or fractional Brownian motions with irregular drifts.
</p>projecteuclid.org/euclid.ejp/1585620093_20200710220150Fri, 10 Jul 2020 22:01 EDTRestriction of 3D arithmetic Laplace eigenfunctions to a planehttps://projecteuclid.org/euclid.ejp/1588924817<strong>Riccardo W. Maffucci</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 17 pp..</p><p><strong>Abstract:</strong><br/>
We consider a random Gaussian ensemble of Laplace eigenfunctions on the 3D torus, and investigate the 1-dimensional Hausdorff measure (‘length’) of nodal intersections against a smooth 2-dimensional toral sub-manifold (‘surface’). A prior result of ours prescribed the expected length, universally proportional to the area of the reference surface, times the wavenumber, independent of the geometry.
In this paper, for surfaces contained in a plane, we give an upper bound for the nodal intersection length variance, depending on the arithmetic properties of the plane. The bound is established via estimates on the number of lattice points in specific regions of the sphere.
</p>projecteuclid.org/euclid.ejp/1588924817_20200710220150Fri, 10 Jul 2020 22:01 EDTVertices with fixed outdegrees in large Galton-Watson treeshttps://projecteuclid.org/euclid.ejp/1592445678<strong>Paul Thévenin</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 25 pp..</p><p><strong>Abstract:</strong><br/>
We are interested in nodes with fixed outdegrees in large conditioned Galton-Watson trees. We first study the scaling limits of processes coding the evolution of the number of such nodes in different explorations of the tree (lexicographical order and contour order) starting from the root. We give necessary and sufficient conditions for the limiting processes to be centered, thus measuring the linearity defect of the evolution of the number of nodes with fixed outdegrees. This extends results by Labarbe & Marckert in the case of the contour-ordered counting process of leaves in uniform plane trees. Then, we extend results obtained by Janson concerning the asymptotic normality of the number of nodes with fixed outdegrees.
</p>projecteuclid.org/euclid.ejp/1592445678_20200710220150Fri, 10 Jul 2020 22:01 EDTLevel-set percolation of the Gaussian free field on regular graphs I: regular treeshttps://projecteuclid.org/euclid.ejp/1592445679<strong>Angelo Abächerli</strong>, <strong>Jiří Černý</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 24 pp..</p><p><strong>Abstract:</strong><br/>
We study level-set percolation of the Gaussian free field on the infinite $d$-regular tree for fixed $d\geq 3$. Denoting by $h_{\star }$ the critical value, we obtain the following results: for $h>h_{\star }$ we derive estimates on conditional exponential moments of the size of a fixed connected component of the level set above level $h$; for $h<h_{\star }$ we prove that the number of vertices connected over distance $k$ above level $h$ to a fixed vertex grows exponentially in $k$ with positive probability. Furthermore, we show that the percolation probability is a continuous function of the level $h$, at least away from the critical value $h_{\star }$. Along the way we also obtain matching upper and lower bounds on the eigenfunctions involved in the spectral characterisation of the critical value $h_{\star }$ and link the probability of a non-vanishing limit of the martingale used therein to the percolation probability. A number of the results derived here are applied in the accompanying paper [1].
</p>projecteuclid.org/euclid.ejp/1592445679_20200710220150Fri, 10 Jul 2020 22:01 EDTThe speed of the tagged particle in the exclusion process on Galton–Watson treeshttps://projecteuclid.org/euclid.ejp/1593568835<strong>Nina Gantert</strong>, <strong>Dominik Schmid</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 27 pp..</p><p><strong>Abstract:</strong><br/>
We study two different versions of the simple exclusion process on augmented Galton–Watson trees, the constant speed model and the variable speed model. In both cases, the simple exclusion process starts from an equilibrium distribution with non-vanishing particle density. Moreover, we assume to have initially a particle in the root, the tagged particle. We show for both models that the tagged particle has a positive linear speed and we give explicit formulas for the speeds.
</p>projecteuclid.org/euclid.ejp/1593568835_20200710220150Fri, 10 Jul 2020 22:01 EDTMoments of discrete orthogonal polynomial ensembleshttps://projecteuclid.org/euclid.ejp/1593568836<strong>Philip Cohen</strong>, <strong>Fabio Deelan Cunden</strong>, <strong>Neil O’Connell</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 19 pp..</p><p><strong>Abstract:</strong><br/>
We obtain factorial moment identities for the Charlier, Meixner and Krawtchouk orthogonal polynomial ensembles. Building on earlier results by Ledoux [Elect. J. Probab. 10, (2005)], we find hypergeometric representations for the factorial moments when the reference measure is Poisson (Charlier ensemble) and geometric (a particular case of the Meixner ensemble). In these cases, if the number of particles is suitably randomised, the factorial moments have a polynomial property, and satisfy three-term recurrence relations and differential equations. In particular, the normalised factorial moments of the randomised ensembles are precisely related to the moments of the corresponding equilibrium measures. We also briefly outline how these results can be interpreted as Cauchy-type identities for certain Schur measures.
</p>projecteuclid.org/euclid.ejp/1593568836_20200710220150Fri, 10 Jul 2020 22:01 EDTAttracting random walkshttps://projecteuclid.org/euclid.ejp/1593568837<strong>Julia Gaudio</strong>, <strong>Yury Polyanskiy</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 31 pp..</p><p><strong>Abstract:</strong><br/>
This paper introduces the Attracting Random Walks model, which describes the dynamics of a system of particles on a graph with $n$ vertices. At each step, a single particle moves to an adjacent vertex (or stays at the current one) with probability proportional to the exponent of the number of other particles at a vertex. From an applied standpoint, the model captures the rich get richer phenomenon. We show that the Markov chain exhibits a phase transition in mixing time, as the parameter governing the attraction is varied. Namely, mixing time is $O(n\log n)$ when the temperature is sufficiently high and $\exp (\Omega (n))$ when temperature is sufficiently low. When $\mathcal {G}$ is the complete graph, the model is a projection of the Potts model, whose mixing properties and the critical temperature have been known previously. However, for any other graph our model is non-reversible and does not seem to admit a simple Gibbsian description of a stationary distribution. Notably, we demonstrate existence of the dynamic phase transition without decomposing the stationary distribution into phases.
</p>projecteuclid.org/euclid.ejp/1593568837_20200710220150Fri, 10 Jul 2020 22:01 EDTExponential growth and continuous phase transitions for the contact process on treeshttps://projecteuclid.org/euclid.ejp/1594432885<strong>Xiangying Huang</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 21 pp..</p><p><strong>Abstract:</strong><br/>
We study the supercritical contact process on Galton-Watson trees and periodic trees. We prove that if the contact process survives weakly then it dominates a supercritical Crump-Mode-Jagers branching process. Hence the number of infected sites grows exponentially fast. As a consequence we conclude that the contact process dies out at the critical value $\lambda _{1}$ for weak survival, and the survival probability $p(\lambda )$ is continuous with respect to the infection rate $\lambda $. Applying this fact, we show the contact process on a general periodic tree experiences two phase transitions in the sense that $\lambda _{1}<\lambda _{2}$, which confirms a conjecture of Stacey’s [12]. We also prove that if the contact process survives strongly at $\lambda $ then it survives strongly at a $\lambda '<\lambda $, which implies that the process does not survive strongly at the critical value $\lambda _{2}$ for strong survival.
</p>projecteuclid.org/euclid.ejp/1594432885_20200710220150Fri, 10 Jul 2020 22:01 EDTBBS invariant measures with independent soliton componentshttps://projecteuclid.org/euclid.ejp/1594432886<strong>Pablo A. Ferrari</strong>, <strong>Davide Gabrielli</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 26 pp..</p><p><strong>Abstract:</strong><br/>
The Box-Ball System (BBS) is a one-dimensional cellular automaton in the configuration space $\{0,1\}^{\mathbb{Z} }$ introduced by Takahashi and Satsuma [8], who identified conserved quantities called solitons . Ferrari, Nguyen, Rolla and Wang [4] map a configuration to a family of soliton components , indexed by the soliton sizes $k\ge 1$. Building over this decomposition, we give an explicit construction of a large family of invariant measures for the BBS that are also shift invariant, including Ising-like Markov and Bernoulli product measures. The construction is based on the concatenation of iid excursions of the associated walk trajectory. Each excursion has the property that the law of its $k$ component given the larger components is product of a finite number of geometric distributions with a parameter depending on $k$. As a consequence, the law of each component of the resulting ball configuration is product of identically distributed geometric random variables, and the components are independent. This last property implies invariance for BBS, as shown by [4].
</p>projecteuclid.org/euclid.ejp/1594432886_20200710220150Fri, 10 Jul 2020 22:01 EDTConvergence to scale-invariant Poisson processes and applications in Dickman approximationhttps://projecteuclid.org/euclid.ejp/1594432887<strong>Chinmoy Bhattacharjee</strong>, <strong>Ilya Molchanov</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 20 pp..</p><p><strong>Abstract:</strong><br/>
We study weak convergence of a sequence of point processes to a scale-invariant simple point process. For a deterministic sequence $(z_{n})_{n\in \mathbb {N}}$ of positive real numbers increasing to infinity as $n \to \infty $ and a sequence $(X_{k})_{k\in \mathbb {N}}$ of independent non-negative integer-valued random variables, we consider the sequence of point processes \[ \nu _{n}=\sum _{k=1}^{\infty }X_{k} \delta _{z_{k}/z_{n}}, \quad n \in \mathbb {N}, \] and prove that, under some general conditions, it converges vaguely in distribution to a scale-invariant Poisson process $\eta _{c}$ on $(0,\infty )$ with the intensity measure having the density $ct^{-1}$, $t\in (0,\infty )$. An important motivating example from probabilistic number theory relies on choosing $X_{k} \sim {\mathrm {Geom}}(1-1/p_{k})$ and $z_{k}=\log p_{k}$, $k \in \mathbb {N}$, where $(p_{k})_{k \in \mathbb {N}}$ is an enumeration of the primes in increasing order. We derive a general result on convergence of the integrals $\int _{0}^{1} t \nu _{n}(dt)$ to the integral $\int _{0}^{1} t \eta _{c}(dt)$, the latter having a generalized Dickman distribution, thus providing a new way of proving Dickman convergence results.
We extend our results to the multivariate setting and provide sufficient conditions for vague convergence in distribution for a broad class of sequences of point processes obtained by mapping the points from $(0,\infty )$ to $\mathbb {R}^{d}$ via multiplication by i.i.d. random vectors. In addition, we introduce a new class of multivariate Dickman distributions which naturally extends the univariate setting.
</p>projecteuclid.org/euclid.ejp/1594432887_20200710220150Fri, 10 Jul 2020 22:01 EDTThe contact process with dynamic edges on $\mathbb {Z}$https://projecteuclid.org/euclid.ejp/1594432888<strong>Amitai Linker</strong>, <strong>Daniel Remenik</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 21 pp..</p><p><strong>Abstract:</strong><br/>
We study the contact process running in the one-dimensional lattice undergoing dynamical percolation, where edges open at rate $vp$ and close at rate $v(1-p)$. Our goal is to explore how the speed of the environment, $v$, affects the behavior of the process. Among our main results we find that: 1. For small enough $v$ the process dies out, while for large $v$ the process behaves like a contact process on $\mathbb {Z}$ with rate $\lambda p$, where $\lambda $ is the birth rate of each particle, so in particular it survives if $\lambda $ is large. 2. For fixed $v$ and small enough $p$ the network becomes immune, in the sense that the process dies out for any infection rate $\lambda $, while if $p$ is sufficiently close to $1$ then for all $v>0$ survival is possible for large enough $\lambda $. 3. Even though the first two points suggest that larger values of $v$ favor survival, this is not necessarily the case for small $v$: when the number of initially infected sites is large enough, the infection survives for a larger expected time in a static environment than in the case of $v$ positive but small. Some of these results hold also in the setting of general (infinite) vertex-transitive regular graphs.
</p>projecteuclid.org/euclid.ejp/1594432888_20200710220150Fri, 10 Jul 2020 22:01 EDTExponential inequalities for dependent V-statistics via random Fourier featureshttps://projecteuclid.org/euclid.ejp/1580267007<strong>Yandi Shen</strong>, <strong>Fang Han</strong>, <strong>Daniela Witten</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 18 pp..</p><p><strong>Abstract:</strong><br/>
We establish exponential inequalities for a class of V-statistics under strong mixing conditions. Our theory is developed via a novel kernel expansion based on random Fourier features and the use of a probabilistic method. This type of expansion is new and useful for handling many notorious classes of kernels.
</p>projecteuclid.org/euclid.ejp/1580267007_20200714220316Tue, 14 Jul 2020 22:03 EDTFinitary coding for the sub-critical Ising model with finite expected coding volumehttps://projecteuclid.org/euclid.ejp/1580267008<strong>Yinon Spinka</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 27 pp..</p><p><strong>Abstract:</strong><br/>
It has been shown by van den Berg and Steif [5] that the sub-critical Ising model on $\mathbb{Z} ^{d}$ is a finitary factor of a finite-valued i.i.d. process. We strengthen this by showing that the factor map can be made to have finite expected coding volume (in fact, stretched-exponential tails), answering a question of van den Berg and Steif. The result holds at any temperature above the critical temperature. An analogous result holds for Markov random fields satisfying a high-noise assumption and for proper colorings with a large number of colors.
</p>projecteuclid.org/euclid.ejp/1580267008_20200714220316Tue, 14 Jul 2020 22:03 EDTAre random permutations spherically uniform?https://projecteuclid.org/euclid.ejp/1580267009<strong>Michael D. Perlman</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 26 pp..</p><p><strong>Abstract:</strong><br/>
For large $q$, does the (discrete) uniform distribution on the set of $q!$ permutations of the vector $\bar{\mathbf {x}} ^{q}=(1,2,\dots ,q)'$ closely approximate the (continuous) uniform distribution on the $(q-2)$-sphere that contains them? These permutations comprise the vertices of the regular permutohedron, a $(q-1)$-dimensional convex polyhedron. The answer is emphatically no: these permutations are confined to a negligible portion of the sphere, and the regular permutohedron occupies a negligible portion of the ball. However, $(1,2,\dots ,q)$ is not the most favorable configuration for spherical uniformity of permutations. A more favorable configuration $\hat{\mathbf {x}} ^{q}$ is found, namely that which minimizes the normalized surface area of the largest empty spherical cap among its $q!$ permutations. Unlike that for $\bar{\mathbf {x}} ^{q}$, the normalized surface area of the largest empty spherical cap among the permutations of $\hat{\mathbf {x}} ^{q}$ approaches $0$ as $q\to \infty $. Nonetheless the permutations of $\hat{\mathbf {x}} ^{q}$ do not approach spherical uniformity either. The existence of an asymptotically spherically uniform permutation sequence remains an open question.
</p>projecteuclid.org/euclid.ejp/1580267009_20200714220316Tue, 14 Jul 2020 22:03 EDTThe stochastic Cauchy problem driven by a cylindrical Lévy processhttps://projecteuclid.org/euclid.ejp/1580267010<strong>Umesh Kumar</strong>, <strong>Markus Riedle</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 26 pp..</p><p><strong>Abstract:</strong><br/>
In this work, we derive sufficient and necessary conditions for the existence of a weak and mild solution of an abstract stochastic Cauchy problem driven by an arbitrary cylindrical Lévy process. Our approach requires to establish a stochastic Fubini result for stochastic integrals with respect to cylindrical Lévy processes. This approach enables us to conclude that the solution process has almost surely scalarly square integrable paths. Further properties of the solution such as the Markov property and stochastic continuity are derived.
</p>projecteuclid.org/euclid.ejp/1580267010_20200714220316Tue, 14 Jul 2020 22:03 EDTInfinite stable looptreeshttps://projecteuclid.org/euclid.ejp/1580267011<strong>Eleanor Archer</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 48 pp..</p><p><strong>Abstract:</strong><br/>
We give a construction of an infinite stable looptree, which we denote by $\mathcal{L} ^{\infty }_{\alpha }$, and prove that it arises both as a local limit of the compact stable looptrees of Curien and Kortchemski (2015), and as a scaling limit of the infinite discrete looptrees of Richier (2017), and Björnberg and Stefánsson (2015). As a consequence, we are able to prove various convergence results for volumes of small balls in compact stable looptrees, explored more deeply in a companion paper. We also establish the spectral dimension of $\mathcal{L} ^{\infty }_{\alpha }$, and show that it agrees with that of its discrete counterpart. Moreover, we show that Brownian motion on $\mathcal{L} ^{\infty }_{\alpha }$ arises as a scaling limit of random walks on discrete looptrees, and as a local limit of Brownian motion on compact stable looptrees, which has similar consequences for the limit of the heat kernel.
</p>projecteuclid.org/euclid.ejp/1580267011_20200714220316Tue, 14 Jul 2020 22:03 EDTExact rate of convergence of the expected $W_{2}$ distance between the empirical and true Gaussian distributionhttps://projecteuclid.org/euclid.ejp/1580267012<strong>Philippe Berthet</strong>, <strong>Jean Claude Fort</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 16 pp..</p><p><strong>Abstract:</strong><br/>
We study the Wasserstein distance $W_{2}$ for Gaussian samples. We establish the exact rate of convergence $\sqrt{\log \log n/n} $ of the expected value of the $W_{2}$ distance between the empirical and true $c.d.f.$’s for the normal distribution. We also show that the rate of weak convergence is unexpectedly $1/\sqrt{n} $ in the case of two correlated Gaussian samples.
</p>projecteuclid.org/euclid.ejp/1580267012_20200714220316Tue, 14 Jul 2020 22:03 EDTPercolation in majority dynamicshttps://projecteuclid.org/euclid.ejp/1580374825<strong>Gideon Amir</strong>, <strong>Rangel Baldasso</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 18 pp..</p><p><strong>Abstract:</strong><br/>
We consider two-dimensional dependent dynamical site percolation where sites perform majority dynamics. We introduce the critical percolation function at time $t$ as the infimum density with which one needs to begin in order to obtain an infinite open component at time $t$. We prove that, for any fixed time $t$, there is no percolation at criticality and that the critical percolation function is continuous. We also prove that, for any positive time, the percolation threshold is strictly smaller than the critical probability for independent site percolation.
</p>projecteuclid.org/euclid.ejp/1580374825_20200714220316Tue, 14 Jul 2020 22:03 EDTLarge deviations for the largest eigenvalue of the sum of two random matriceshttps://projecteuclid.org/euclid.ejp/1580871680<strong>Alice Guionnet</strong>, <strong>Mylène Maïda</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 24 pp..</p><p><strong>Abstract:</strong><br/>
In this paper, we consider the addition of two matrices in generic position, namely $A+UBU^{*}$, where $U$ is drawn under the Haar measure on the unitary or the orthogonal group. We show that, under mild conditions on the empirical spectral measures of the deterministic matrices $A$ and $B$, the law of the largest eigenvalue satisfies a large deviation principle, in the scale $N$, with an explicit rate function involving the limit of spherical integrals. We cover in particular the case when $A$ and $B$ have no outliers.
</p>projecteuclid.org/euclid.ejp/1580871680_20200714220316Tue, 14 Jul 2020 22:03 EDTCut-off phenomenon for Ornstein-Uhlenbeck processes driven by Lévy processeshttps://projecteuclid.org/euclid.ejp/1580871681<strong>Gerardo Barrera</strong>, <strong>Juan Carlos Pardo</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 33 pp..</p><p><strong>Abstract:</strong><br/>
In this paper, we study the cut-off phenomenon under the total variation distance of $d$-dimensional Ornstein-Uhlenbeck processes which are driven by Lévy processes. That is to say, under the total variation distance, there is an abrupt convergence of the aforementioned process to its equilibrium, i.e. limiting distribution. Despite that the limiting distribution is not explicit, its distributional properties allow us to deduce that a profile function always exists in the reversible cases and it may exist in the non-reversible cases under suitable conditions on the limiting distribution. The cut-off phenomena for the average and superposition processes are also determined.
</p>projecteuclid.org/euclid.ejp/1580871681_20200714220316Tue, 14 Jul 2020 22:03 EDTExistence of (Markovian) solutions to martingale problems associated with Lévy-type operatorshttps://projecteuclid.org/euclid.ejp/1580871682<strong>Franziska Kühn</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 26 pp..</p><p><strong>Abstract:</strong><br/>
We study the existence of (Markovian) solutions to the $(A,C_{c}^{\infty }(\mathbb{R} ^{d}))$-martingale problem associated with the Lévy-type operator $A$ with symbol $q(x,\xi )$. Firstly, we establish conditions which ensure the existence of a solution. The main contribution is that our existence result allows for discontinuity in $x \mapsto q(x,\xi )$. Applying the result, we obtain new insights on the existence of weak solutions to a class of Lévy-driven SDEs with Borel measurable coefficients and on the the existence of stable-like processes with discontinuous coefficients. Secondly, we prove a Markovian selection theorem which shows that – under mild assumptions – the $(A,C_{c}^{\infty }(\mathbb{R} ^{d}))$-martingale problem gives rise to a strong Markov process. The result applies, in particular, to Lévy-driven SDEs. We illustrate the Markovian selection theorem with applications in the theory of non-local operators and equations; in particular, we establish under weak regularity assumptions a Harnack inequality for non-local operators of variable order.
</p>projecteuclid.org/euclid.ejp/1580871682_20200714220316Tue, 14 Jul 2020 22:03 EDTLocal bounds for stochastic reaction diffusion equationshttps://projecteuclid.org/euclid.ejp/1580871683<strong>Augustin Moinat</strong>, <strong>Hendrik Weber</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 26 pp..</p><p><strong>Abstract:</strong><br/>
We prove a priori bounds for solutions of stochastic reaction diffusion equations with super-linear damping in the reaction term. These bounds provide a control on the supremum of solutions on any compact space-time set which only depends on the specific realisation of the noise on a slightly larger set and which holds uniformly over all possible space-time boundary values. This constitutes a space-time version of the so-called “coming down from infinity” property. Bounds of this type are very useful to control the large scale behaviour of solutions effectively and can be used, for example, to construct solutions on the full space even if the driving noise term has no decay at infinity. Our method shows the interplay of the large scale behaviour, dictated by the non-linearity, and the small scale oscillations, dictated by the rough driving noise. As a by-product we show that there is a close relation between the regularity of the driving noise term and the integrability of solutions.
</p>projecteuclid.org/euclid.ejp/1580871683_20200714220316Tue, 14 Jul 2020 22:03 EDTA support theorem for SLE curveshttps://projecteuclid.org/euclid.ejp/1580958251<strong>Huy Tran</strong>, <strong>Yizheng Yuan</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 18 pp..</p><p><strong>Abstract:</strong><br/>
For all $\kappa > 0$, we show that the support of SLE$_{\kappa }$ curves is the closure in the sup-norm of the set of Loewner curves driven by nice (e.g. smooth) functions. It follows that the support is the closure of the set of simple curves starting at $0$.
</p>projecteuclid.org/euclid.ejp/1580958251_20200714220316Tue, 14 Jul 2020 22:03 EDTHomogenisation for anisotropic kinetic random motionshttps://projecteuclid.org/euclid.ejp/1585620094<strong>Pierre Perruchaud</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 26 pp..</p><p><strong>Abstract:</strong><br/>
We introduce a class of kinetic and anisotropic random motions $(x_{t}^{\sigma },v_{t}^{\sigma })_{t \geq 0}$ on the unit tangent bundle $T^{1} \mathcal{M} $ of a general Riemannian manifold $(\mathcal{M} ,g)$, where $\sigma $ is a positive parameter quantifying the amount of noise affecting the dynamics. As the latter goes to infinity, we then show that the time rescaled process $(x_{\sigma ^{2} t}^{\sigma })_{t \geq 0}$ converges in law to an explicit anisotropic Brownian motion on $\mathcal{M} $. Our approach is essentially based on the strong mixing properties of the underlying velocity process and on rough paths techniques, allowing us to reduce the general case to its Euclidean analogue. Using these methods, we are able to recover a range of classical results.
</p>projecteuclid.org/euclid.ejp/1585620094_20200714220316Tue, 14 Jul 2020 22:03 EDTOptimal lower bounds on hitting probabilities for stochastic heat equations in spatial dimension $k \geq 1$https://projecteuclid.org/euclid.ejp/1585620095<strong>Robert C. Dalang</strong>, <strong>Fei Pu</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 31 pp..</p><p><strong>Abstract:</strong><br/>
We establish a sharp estimate on the negative moments of the smallest eigenvalue of the Malliavin matrix $\gamma _{Z}$ of $Z := (u(s, y), u(t, x) - u(s, y))$, where $u$ is the solution to a system of $d$ non-linear stochastic heat equations in spatial dimension $k \geq 1$. We also obtain the optimal exponents for the $L^{p}$-modulus of continuity of the increments of the solution and of its Malliavin derivatives. These lead to optimal lower bounds on hitting probabilities of the process $\{u(t, x): (t, x) \in [0, \infty [ \times \mathbb{R} ^{k}\}$ in the non-Gaussian case in terms of Newtonian capacity, and improve a result in Dalang, Khoshnevisan and Nualart [ Stoch PDE: Anal Comp 1 (2013) 94–151].
</p>projecteuclid.org/euclid.ejp/1585620095_20200714220316Tue, 14 Jul 2020 22:03 EDTOne-dimensional diffusion processes with moving membrane: partial reflection in combination with jump-like exit of process from membranehttps://projecteuclid.org/euclid.ejp/1585620096<strong>Bohdan Kopytko</strong>, <strong>Roman Shevchuk</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 21 pp..</p><p><strong>Abstract:</strong><br/>
We use analytical methods to construct the two-parameter Feller semigroup associated with a Markov process on a line with a moving membrane such that at the points on both sides of the membrane it coincides with the ordinary diffusion processes given there and its behavior after reaching the membrane is described by a kind of nonlocal Feller-Wentzell conjugation condition.
</p>projecteuclid.org/euclid.ejp/1585620096_20200714220316Tue, 14 Jul 2020 22:03 EDTStabilization of DLA in a wedgehttps://projecteuclid.org/euclid.ejp/1585879250<strong>Eviatar B. Procaccia</strong>, <strong>Ron Rosenthal</strong>, <strong>Yuan Zhang</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 22 pp..</p><p><strong>Abstract:</strong><br/>
We consider Diffusion Limited Aggregation (DLA) in a two-dimensional wedge. We prove that if the angle of the wedge is smaller than $\pi /4$, there is some $a>2$ such that almost surely, for all $R$ large enough, after time $R^{a}$ all new particles attached to the DLA will be at distance larger than $R$ from the origin. Furthermore, we provide estimates on the size of $R$ under which this holds. This means that DLA stabilizes in growing balls, thus allowing a definition of the infinite DLA in a wedge via a finite time process.
</p>projecteuclid.org/euclid.ejp/1585879250_20200714220316Tue, 14 Jul 2020 22:03 EDTStationary distributions of the multi-type ASEPhttps://projecteuclid.org/euclid.ejp/1585879251<strong>James B. Martin</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 41 pp..</p><p><strong>Abstract:</strong><br/>
We give a recursive construction of the stationary distribution of multi-type asymmetric simple exclusion processes on a finite ring or on the infinite line $\mathbb{Z} $. The construction can be interpreted in terms of “multi-line diagrams” or systems of queues in tandem. Let $q$ be the asymmetry parameter of the system. The queueing construction generalises the one previously known for the totally asymmetric ($q=0$) case, by introducing queues in which each potential service is unused with probability $q^{k}$ when the queue-length is $k$. The analysis is based on the matrix product representation of Prolhac, Evans and Mallick. Consequences of the construction include: a simple method for sampling exactly from the stationary distribution for the system on a ring; results on common denominators of the stationary probabilities, expressed as rational functions of $q$ with non-negative integer coefficients; and probabilistic descriptions of “convoy formation” phenomena in large systems.
</p>projecteuclid.org/euclid.ejp/1585879251_20200714220316Tue, 14 Jul 2020 22:03 EDTWeak symmetries of stochastic differential equations driven by semimartingales with jumpshttps://projecteuclid.org/euclid.ejp/1585965704<strong>Sergio Albeverio</strong>, <strong>Francesco C. De Vecchi</strong>, <strong>Paola Morando</strong>, <strong>Stefania Ugolini</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 34 pp..</p><p><strong>Abstract:</strong><br/>
Stochastic symmetries and related invariance properties of finite dimensional SDEs driven by general càdlàg semimartingales taking values in Lie groups are defined and investigated. The considered set of SDEs, first introduced by S. Cohen, includes affine and Marcus type SDEs as well as smooth SDEs driven by Lévy processes and iterated random maps. A natural extension to this general setting of reduction and reconstruction theory for symmetric SDEs is provided. Our theorems imply as special cases non trivial invariance results concerning a class of affine iterated random maps as well as (weak) symmetries for numerical schemes (of Euler and Milstein type) for Brownian motion driven SDEs.
</p>projecteuclid.org/euclid.ejp/1585965704_20200714220316Tue, 14 Jul 2020 22:03 EDTExistence of a unique quasi-stationary distribution in stochastic reaction networkshttps://projecteuclid.org/euclid.ejp/1587024023<strong>Mads Christian Hansen</strong>, <strong>Wiuf Carsten</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 30 pp..</p><p><strong>Abstract:</strong><br/>
In the setting of stochastic dynamical systems that eventually go extinct, the quasi-stationary distributions are useful to understand the long-term behavior of a system before evanescence. For a broad class of applicable continuous-time Markov processes on countably infinite state spaces, known as reaction networks, we introduce the inferred notion of absorbing and endorsed sets, and obtain sufficient conditions for the existence and uniqueness of a quasi-stationary distribution within each such endorsed set. In particular, we obtain sufficient conditions for the existence of a globally attracting quasi-stationary distribution in the space of probability measures on the set of endorsed states. Furthermore, under these conditions, the convergence from any initial distribution to the quasi-stationary distribution is exponential in the total variation norm.
</p>projecteuclid.org/euclid.ejp/1587024023_20200714220316Tue, 14 Jul 2020 22:03 EDTLarge deviations for configurations generated by Gibbs distributions with energy functionals consisting of singular interaction and weakly confining potentialshttps://projecteuclid.org/euclid.ejp/1587693777<strong>Paul Dupuis</strong>, <strong>Vaios Laschos</strong>, <strong>Kavita Ramanan</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 41 pp..</p><p><strong>Abstract:</strong><br/>
We establish large deviation principles (LDPs) for empirical measures associated with a sequence of Gibbs distributions on $n$-particle configurations, each of which is defined in terms of an inverse temperature $\beta _{n}$ and an energy functional consisting of a (possibly singular) interaction potential and a (possibly weakly) confining potential. Under fairly general assumptions on the potentials, we use a common framework to establish LDPs both with speeds $\beta _{n}/n \rightarrow \infty $, in which case the rate function is expressed in terms of a functional involving the potentials, and with speed $\beta _{n} =n$, when the rate function contains an additional entropic term. Such LDPs are motivated by questions arising in random matrix theory, sampling, simulated annealing and asymptotic convex geometry. Our approach, which uses the weak convergence method developed by Dupuis and Ellis, establishes LDPs with respect to stronger Wasserstein-type topologies. Our results address several interesting examples not covered by previous works, including the case of a weakly confining potential, which allows for rate functions with minimizers that do not have compact support, thus resolving several open questions raised in a work of Chafaï et al.
</p>projecteuclid.org/euclid.ejp/1587693777_20200714220316Tue, 14 Jul 2020 22:03 EDTUniversality for critical heavy-tailed network models: Metric structure of maximal componentshttps://projecteuclid.org/euclid.ejp/1587693778<strong>Shankar Bhamidi</strong>, <strong>Souvik Dhara</strong>, <strong>Remco van der Hofstad</strong>, <strong>Sanchayan Sen</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 57 pp..</p><p><strong>Abstract:</strong><br/>
We study limits of the largest connected components (viewed as metric spaces) obtained by critical percolation on uniformly chosen graphs and configuration models with heavy-tailed degrees. For rank-one inhomogeneous random graphs, such results were derived by Bhamidi, van der Hofstad, Sen (2018) [15]. We develop general principles under which the identical scaling limits as in [15] can be obtained. Of independent interest, we derive refined asymptotics for various susceptibility functions and the maximal diameter in the barely subcritical regime.
</p>projecteuclid.org/euclid.ejp/1587693778_20200714220316Tue, 14 Jul 2020 22:03 EDTAveraging Gaussian functionalshttps://projecteuclid.org/euclid.ejp/1588039467<strong>David Nualart</strong>, <strong>Guangqu Zheng</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 54 pp..</p><p><strong>Abstract:</strong><br/>
This paper consists of two parts. In the first part, we focus on the average of a functional over shifted Gaussian homogeneous noise and as the averaging domain covers the whole space, we establish a Breuer-Major type Gaussian fluctuation based on various assumptions on the covariance kernel and/or the spectral measure. Our methodology for the first part begins with the application of Malliavin calculus around Nualart-Peccati’s Fourth Moment Theorem, and in addition we apply the Fourier techniques as well as a soft approximation argument based on Bessel functions of first kind.
The same methodology leads us to investigate a closely related problem in the second part. We study the spatial average of a linear stochastic heat equation driven by space-time Gaussian colored noise. The temporal covariance kernel $\gamma _{0}$ is assumed to be locally integrable in this paper. If the spatial covariance kernel is nonnegative and integrable on the whole space , then the spatial average admits the Gaussian fluctuation; with some extra mild integrability condition on $\gamma _{0}$, we are able to provide a functional central limit theorem. These results complement recent studies on the spatial average for SPDEs. Our analysis also allows us to consider the case where the spatial covariance kernel is not integrable: For example, in the case of the Riesz kernel, the first chaotic component of the spatial average is dominant so that the Gaussian fluctuation also holds true.
</p>projecteuclid.org/euclid.ejp/1588039467_20200714220316Tue, 14 Jul 2020 22:03 EDTThe frog model on non-amenable treeshttps://projecteuclid.org/euclid.ejp/1588039468<strong>Marcus Michelen</strong>, <strong>Josh Rosenberg</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 16 pp..</p><p><strong>Abstract:</strong><br/>
We examine an interacting particle system on trees commonly referred to as the frog model. For its initial state, it begins with a single active particle at the root and i.i.d. $\mathrm{Poiss} (\lambda )$ many inactive particles at each non-root vertex. Active particles perform discrete time simple random walk and in the process activate any inactive particles they encounter. We show that for every non-amenable tree with bounded degree there exists a phase transition from transience to recurrence (with a non-trivial intermediate phase sometimes sandwiched in between) as $\lambda $ varies.
</p>projecteuclid.org/euclid.ejp/1588039468_20200714220316Tue, 14 Jul 2020 22:03 EDTStochastic partial integral-differential equations with divergence termshttps://projecteuclid.org/euclid.ejp/1588039469<strong>Chi Hong Wong</strong>, <strong>Xue Yang</strong>, <strong>Jing Zhang</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 22 pp..</p><p><strong>Abstract:</strong><br/>
We study a class of stochastic partial integral-differential equations with an asymmetrical non-local operator $\frac{1} {2}\Delta +a^{\alpha }\Delta ^{\frac{\alpha } {2}}+b\cdot \nabla $ and a distribution expressed as divergence of a measurable field. For $0<\alpha <2$, the existence and uniqueness of solution is proved by analytical method, and a probabilistic interpretation, similar to the Feynman-Kac formula, is presented for $ 0<\alpha <1$. The method of backward doubly stochastic differential equations is also extended in this work.
</p>projecteuclid.org/euclid.ejp/1588039469_20200714220316Tue, 14 Jul 2020 22:03 EDTCompactness and continuity properties for a Lévy process at a two-sided exit timehttps://projecteuclid.org/euclid.ejp/1588125886<strong>Ross A. Maller</strong>, <strong>David M. Mason</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 26 pp..</p><p><strong>Abstract:</strong><br/>
We consider a Lévy process $X=(X(t))_{t\ge 0}$ in a generalised Feller class at 0, and study the exit position, $\left \vert X(T(r))\right \vert $, as $X$ leaves, and the position, $\left \vert X(T( r) -)\right \vert $, just prior to its leaving, at time $T(r)$, a two-sided region with boundaries at $\pm r$, $r>0$. Conditions are known for $X$ to be in the Feller class $FC_{0}$ at zero, by which we mean that each sequence $t_{k}\downarrow 0$ contains a subsequence through which $X(t_{k})$, after norming by a nonstochastic function, converges to an a.s. finite nondegenerate random variable. We use these conditions on $X$ to characterise similar properties for the normed positions $\left \vert X(T( r))\right \vert /r$ and $\left \vert X(T( r) -)\right \vert /r$, and also for the normed jump $\left \vert \Delta X(T(r))/r\right \vert = \left \vert X(T(r))-X(T(r)-)\right \vert /r$ (“the jump causing ruin"), as convergence takes place through sequences $r_{k}\downarrow 0$. We go on to give conditions for the continuity of distributions of the limiting random variables obtained in this way.
</p>projecteuclid.org/euclid.ejp/1588125886_20200714220316Tue, 14 Jul 2020 22:03 EDTTransience of conditioned walks on the plane: encounters and speed of escapehttps://projecteuclid.org/euclid.ejp/1588125887<strong>Serguei Popov</strong>, <strong>Leonardo T. Rolla</strong>, <strong>Daniel Ungaretti</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 23 pp..</p><p><strong>Abstract:</strong><br/>
We consider the two-dimensional simple random walk conditioned on never hitting the origin, which is, formally speaking, the Doob’s $h$-transform of the simple random walk with respect to the potential kernel. We then study the behavior of the future minimum distance of the walk to the origin, and also prove that two independent copies of the conditioned walk, although both transient, will nevertheless meet infinitely many times a.s.
</p>projecteuclid.org/euclid.ejp/1588125887_20200714220316Tue, 14 Jul 2020 22:03 EDTRecursive tree processes and the mean-field limit of stochastic flowshttps://projecteuclid.org/euclid.ejp/1589335470<strong>Tibor Mach</strong>, <strong>Anja Sturm</strong>, <strong>Jan M. Swart</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 63 pp..</p><p><strong>Abstract:</strong><br/>
Interacting particle systems can often be constructed from a graphical representation, by applying local maps at the times of associated Poisson processes. This leads to a natural coupling of systems started in different initial states. We consider interacting particle systems on the complete graph in the mean-field limit, i.e., as the number of vertices tends to infinity. We are not only interested in the mean-field limit of a single process, but mainly in how several coupled processes behave in the limit. This turns out to be closely related to recursive tree processes as studied by Aldous and Bandyopadyay in discrete time. We here develop an analogue theory for recursive tree processes in continuous time. We illustrate the abstract theory on an example of a particle system with cooperative branching. This yields an interesting new example of a recursive tree process that is not endogenous.
</p>projecteuclid.org/euclid.ejp/1589335470_20200714220316Tue, 14 Jul 2020 22:03 EDTSub-exponential convergence to equilibrium for Gaussian driven Stochastic Differential Equations with semi-contractive drifthttps://projecteuclid.org/euclid.ejp/1591084854<strong>Fabien Panloup</strong>, <strong>Alexandre Richard</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 43 pp..</p><p><strong>Abstract:</strong><br/>
The convergence to the stationary regime is studied for Stochastic Differential Equations driven by an additive Gaussian noise and evolving in a semi-contractive environment, i.e. when the drift is only contractive out of a compact set but does not have repulsive regions. In this setting, we develop a synchronous coupling strategy to obtain sub-exponential bounds on the rate of convergence to equilibrium in Wasserstein distance. Then by a coalescent coupling close to terminal time, we derive a similar bound in total variation distance.
</p>projecteuclid.org/euclid.ejp/1591084854_20200714220316Tue, 14 Jul 2020 22:03 EDTKPZ equation tails for general initial datahttps://projecteuclid.org/euclid.ejp/1592618468<strong>Ivan Corwin</strong>, <strong>Promit Ghosal</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 38 pp..</p><p><strong>Abstract:</strong><br/>
We consider the upper and lower tail probabilities for the centered (by time$/24$) and scaled (according to KPZ time$^{1/3}$ scaling) one-point distribution of the Cole-Hopf solution of the KPZ equation when started with initial data drawn from a very general class. For the lower tail, we prove an upper bound which demonstrates a crossover from super-exponential decay with exponent $3$ in the shallow tail to an exponent $5/2$ in the deep tail. For the upper tail, we prove super-exponential decay bounds with exponent $3/2$ at all depths in the tail.
</p>projecteuclid.org/euclid.ejp/1592618468_20200714220316Tue, 14 Jul 2020 22:03 EDTA decorated tree approach to random permutations in substitution-closed classeshttps://projecteuclid.org/euclid.ejp/1592618469<strong>Jacopo Borga</strong>, <strong>Mathilde Bouvel</strong>, <strong>Valentin Féray</strong>, <strong>Benedikt Stufler</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 52 pp..</p><p><strong>Abstract:</strong><br/>
We establish a novel bijective encoding that represents permutations as forests of decorated (or enriched) trees. This allows us to prove local convergence of uniform random permutations from substitution-closed classes satisfying a criticality constraint. It also enables us to reprove and strengthen permuton limits for these classes in a new way, that uses a semi-local version of Aldous’ skeleton decomposition for size-constrained Galton–Watson trees.
</p>projecteuclid.org/euclid.ejp/1592618469_20200714220316Tue, 14 Jul 2020 22:03 EDTRegularization lemmas and convergence in total variationhttps://projecteuclid.org/euclid.ejp/1593828035<strong>Vlad Bally</strong>, <strong>Lucia Caramellino</strong>, <strong>Guillaume Poly</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 20 pp..</p><p><strong>Abstract:</strong><br/>
We provide a simple abstract formalism of integration by parts under which we obtain some regularization lemmas. These lemmas apply to any sequence of random variables $(F_{n})$ which are smooth and non-degenerated in some sense and enable one to upgrade the distance of convergence from smooth Wasserstein distances to total variation in a quantitative way. This is a well studied topic and one can consult for instance [3, 11, 14, 20] and the references therein for an overview of this issue. Each of the aforementioned references share the fact that some non-degeneracy is required along the whole sequence. We provide here the first result removing this costly assumption as we require only non-degeneracy at the limit. The price to pay is to control the smooth Wasserstein distance between the Malliavin matrix of the sequence and its limit, which is particularly easy in the context of Gaussian limit as the Malliavin matrix is deterministic. We then recover, in a slightly weaker form, the main findings of [19]. Another application concerns the approximation of the semi-group of a diffusion process by the Euler scheme in a quantitative way and under the Hörmander condition.
</p>projecteuclid.org/euclid.ejp/1593828035_20200714220316Tue, 14 Jul 2020 22:03 EDTQuenched tail estimate for the random walk in random scenery and in random layered conductance IIhttps://projecteuclid.org/euclid.ejp/1593828036<strong>Jean-Dominique Deuschel</strong>, <strong>Ryoki Fukushima</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 28 pp..</p><p><strong>Abstract:</strong><br/>
This is a continuation of our earlier work [Stochastic Processes and their Applications, 129(1), pp.102–128, 2019] on the random walk in random scenery and in random layered conductance. We complete the picture of upper deviation of the random walk in random scenery, and also prove a bound on lower deviation probability. Based on these results, we determine asymptotics of the return probability, a certain moderate deviation probability, and the Green function of the random walk in random layered conductance.
</p>projecteuclid.org/euclid.ejp/1593828036_20200714220316Tue, 14 Jul 2020 22:03 EDTLong paths in first passage percolation on the complete graph I. Local PWIT dynamicshttps://projecteuclid.org/euclid.ejp/1594778566<strong>Maren Eckhoff</strong>, <strong>Jesse Goodman</strong>, <strong>Remco van der Hofstad</strong>, <strong>Francesca R. Nardi</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 45 pp..</p><p><strong>Abstract:</strong><br/>
We study the random geometry of first passage percolation on the complete graph equipped with independent and identically distributed edge weights. We find classes with different behaviour depending on a sequence of parameters $(s_{n})_{n\geq 1}$ that quantifies the extreme-value behavior of small weights. We consider both $n$-independent as well as $n$-dependent edge weights and illustrate our results in many examples.
In particular, we investigate the case where $s_{n}\rightarrow \infty $, and focus on the exploration process that grows the smallest-weight tree from a vertex. We establish that the smallest-weight tree process locally converges to the invasion percolation cluster on the Poisson-weighted infinite tree, and we identify the scaling limit of the weight of the smallest-weight path between two uniform vertices. In addition, we show that over a long time interval, the growth of the smallest-weight tree maintains the same volume-height scaling exponent – volume proportional to the square of the height – found in critical Galton–Watson branching trees and critical Erdős-Rényi random graphs.
</p>projecteuclid.org/euclid.ejp/1594778566_20200714220316Tue, 14 Jul 2020 22:03 EDTThe Poincaré inequality and quadratic transportation-variance inequalitieshttps://projecteuclid.org/euclid.ejp/1578020644<strong>Yuan Liu</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 16 pp..</p><p><strong>Abstract:</strong><br/>
It is known that the Poincaré inequality is equivalent to the quadratic transportation-variance inequality (namely $W_{2}^{2}(f\mu ,\mu ) \leqslant C_{V} \mathrm{Var} _{\mu }(f)$), see Jourdain [10] and most recently Ledoux [12]. We give two alternative proofs to this fact. In particular, we achieve a smaller $C_{V}$ than before, which equals the double of Poincaré constant. Applying the same argument leads to more characterizations of the Poincaré inequality. Our method also yields a by-product as the equivalence between the logarithmic Sobolev inequality and strict contraction of heat flow in Wasserstein space provided that the Bakry-Émery curvature has a lower bound (here the control constants may depend on the curvature bound).
Next, we present a comparison inequality between $W_{2}^{2}(f\mu ,\mu )$ and its centralization $W_{2}^{2}(f_{c}\mu ,\mu )$ for $f_{c} = \frac{|\sqrt {f} - \mu (\sqrt {f})|^{2}} {\mathrm{Var} _{\mu }(\sqrt{f} )}$, which may be viewed as some special counterpart of the Rothaus’ lemma for relative entropy. Then it yields some new bound of $W_{2}^{2}(f\mu ,\mu )$ associated to the variance of $\sqrt{f} $ rather than $f$. As a by-product, we have another proof to derive the quadratic transportation-information inequality from Lyapunov condition, avoiding the Bobkov-Götze’s characterization of the Talagrand’s inequality.
</p>projecteuclid.org/euclid.ejp/1578020644_20200716040103Thu, 16 Jul 2020 04:01 EDTAn Itô type formula for the additive stochastic heat equationhttps://projecteuclid.org/euclid.ejp/1578366206<strong>Carlo Bellingeri</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 52 pp..</p><p><strong>Abstract:</strong><br/>
We use the theory of regularity structures to develop an Itô formula for $u$, the solution of the one-dimensional stochastic heat equation driven by space-time white noise with periodic boundary conditions. In particular, for any smooth enough function $\varphi $ we can express the random distribution $(\partial _{t}-\partial _{xx})\varphi (u)$ and the random field $\varphi (u)$ in terms of the reconstruction of some modelled distributions. The resulting objects are then identified with some classical constructions of Malliavin calculus.
</p>projecteuclid.org/euclid.ejp/1578366206_20200716040103Thu, 16 Jul 2020 04:01 EDTThe coin-turning walk and its scaling limithttps://projecteuclid.org/euclid.ejp/1578452592<strong>János Engländer</strong>, <strong>Stanislav Volkov</strong>, <strong>Zhenhua Wang</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 38 pp..</p><p><strong>Abstract:</strong><br/>
Let $S$ be the random walk obtained from “coin turning” with some sequence $\{p_{n}\}_{n\ge 2}$, as introduced in [8]. In this paper we investigate the scaling limits of $S$ in the spirit of the classical Donsker invariance principle, both for the heating and for the cooling dynamics. We prove that an invariance principle, albeit with a non-classical scaling, holds for “not too small” sequences, the order const$\cdot n^{-1}$ (critical cooling regime) being the threshold. At and below this critical order, the scaling behavior is dramatically different from the one above it. The same order is also the critical one for the Weak Law of Large Numbers to hold. In the critical cooling regime, an interesting process emerges: it is a continuous, piecewise linear, recurrent process, for which the one-dimensional marginals are Beta-distributed. We also investigate the recurrence of the walk and its scaling limit, as well as the ergodicity and mixing of the $n$th step of the walk.
</p>projecteuclid.org/euclid.ejp/1578452592_20200716040103Thu, 16 Jul 2020 04:01 EDTThe symbiotic contact processhttps://projecteuclid.org/euclid.ejp/1579143695<strong>Rick Durrett</strong>, <strong>Dong Yao</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 21 pp..</p><p><strong>Abstract:</strong><br/>
We consider a contact process on $\mathbb{Z} ^{d}$ with two species that interact in a symbiotic manner. Each site can either be vacant or occupied by individuals of species $A$ and/or $B$. Multiple occupancy by the same species at a single site is prohibited. The name symbiotic comes from the fact that if only one species is present at a site then that particle dies with rate 1 but if both species are present then the death rate is reduced to $\mu \le 1$ for each particle at that site. We show the critical birth rate $\lambda _{c}(\mu )$ for weak survival is of order $\sqrt{\mu } $ as $\mu \to 0$. Mean-field calculations predict that when $\mu < 1/2$ there is a discontinuous transition as $\lambda $ is varied. In contrast, we show that, in any dimension, the phase transition is continuous. To be fair to the physicists that introduced the model, [27], the authors say that the symbiotic contact process is in the directed percolation universality class and hence has a continuous transition. However, a 2018 paper, [30], asserts that the transition is discontinuous above the upper critical dimension, which is 4 for oriented percolation.
</p>projecteuclid.org/euclid.ejp/1579143695_20200716040103Thu, 16 Jul 2020 04:01 EDTOn the peaks of a stochastic heat equation on a sphere with a large radiushttps://projecteuclid.org/euclid.ejp/1579835021<strong>Weicong Su</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 38 pp..</p><p><strong>Abstract:</strong><br/>
For every $R>0$, consider the stochastic heat equation \[ \partial _{t} u_{R}(t\,,x)=\tfrac {1}{2} \Delta _{S_{R}^{2}}u_{R}(t\,,x)+\sigma (u_{R}(t\,,x)) \xi _{R}(t\,,x) \] on $S_{R}^{2}$, where $\xi _{R}=\dot {W_{R}}$ are centered Gaussian noises with the covariance structure given by $\mathrm {E}[\dot {W_{R}}(t,x)\dot {W_{R}}(s,y)]=h_{R}(x,y)\delta _{0}(t-s)$, where $h_{R}$ is symmetric and semi-positive definite and there exist some fixed constants $-2< C_{h_{up}}< 2$ and $\tfrac {1}{2} C_{h_{up}}-1<C_{h_{down}} \leqslant C_{h_{up}}$ such that for all $R>0$ and $x\,,y \in S_{R}^{2}$, $(\log R)^{C_{h_{down}}/2}=h_{down}(R)\leqslant h_{R}(x,y) \leqslant h_{up}(R)=(\log R)^{C_{h_{up}}/2}$, $\Delta _{S_{R}^{2}}$ denotes the Laplace-Beltrami operator defined on $S_{R}^{2}$ and $\sigma :\mathbb {R}\mapsto \mathbb {R}$ is Lipschitz continuous, positive and uniformly bounded away from $0$ and $\infty $. Under the assumption that $u_{R,0}(x)=u_{R}(0\,,x)$ is a nonrandom continuous function on $x \in S_{R}^{2}$ and the initial condition that there exists a finite positive $U$ such that $\sup _{R>0}\sup _{x \in S_{R}^{2}}\vert u_{R,0}(x)\vert \leqslant U$, we prove that for every finite positive $t$, there exist finite positive constants $C_{down}(t)$ and $C_{up}(t)$ which only depend on $t$ such that as $R \to \infty $, $\sup _{x \in S_{R}^{2}}\vert u_{R}(t\,,x)\vert $ is asymptotically bounded below by $C_{down}(t)(\log R)^{1/4+C_{h_{down}}/4-C_{h_{up}}/8}$ and asymptotically bounded above by $C_{up}(t)(\log R)^{1/2+C_{h_{up}}/4}$ with high probability.
</p>projecteuclid.org/euclid.ejp/1579835021_20200716040103Thu, 16 Jul 2020 04:01 EDTOn the construction of measure-valued dual processeshttps://projecteuclid.org/euclid.ejp/1580202285<strong>Laurent Miclo</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 64 pp..</p><p><strong>Abstract:</strong><br/>
Markov intertwining is an important tool in stochastic processes: it enables to prove equalities in law, to assess convergence to equilibrium in a probabilistic way, to relate apparently distinct random models or to make links with wave equations, see Carmona, Petit and Yor [8], Aldous and Diaconis [2], Borodin and Olshanski [7] and Pal and Shkolnikov [23] for examples of applications in these domains. Unfortunately the basic construction of Diaconis and Fill [10] is not easy to manipulate. An alternative approach, where the underlying coupling is first constructed, is proposed here as an attempt to remedy to this drawback, via random mappings for measure-valued dual processes, first in a discrete time and finite state space setting. This construction is related to the evolving sets of Morris and Peres [22] and to the coupling-from-the-past algorithm of Propp and Wilson [27]. Extensions to continuous frameworks enable to recover, via a coalescing stochastic flow due to Le Jan and Raimond [16], the explicit coupling underlying the intertwining relation between the Brownian motion and the Bessel-3 process due to Pitman [25]. To generalize such a coupling to more general one-dimensional diffusions, new coalescing stochastic flows would be needed and the paper ends with challenging conjectures in this direction.
</p>projecteuclid.org/euclid.ejp/1580202285_20200716040103Thu, 16 Jul 2020 04:01 EDTFunctional inequalities for weighted Gamma distribution on the space of finite measureshttps://projecteuclid.org/euclid.ejp/1580958255<strong>Feng-Yu Wang</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 27 pp..</p><p><strong>Abstract:</strong><br/>
Let $\mathbb{M} $ be the space of finite measures on a locally compact Polish space, and let $\mathcal{G} $ be the Gamma distribution on $\mathbb{M} $ with intensity measure $\nu \in \mathbb{M} $. Let $\nabla ^{ext}$ be the extrinsic derivative with tangent bundle $T\mathbb{M} = \cup _{\eta \in \mathbb{M} } L^{2}(\eta )$, and let $\mathcal{A} : T\mathbb{M} \rightarrow T\mathbb{M} $ be measurable such that $\mathcal{A} _{\eta }$ is a positive definite linear operator on $L^{2}(\eta )$ for every $\eta \in \mathbb{M} $. Moreover, for a measurable function $V$ on $\mathbb{M} $, let ${\mathrm{{d}} }{\mathcal{G} }^{V}= {\mathrm{{e}} }^{V}{\mathrm{{d}} }{\mathcal{G} }$. We investigate the Poincaré, weak Poincaré and super Poincaré inequalities for the Dirichlet form \[ \mathcal{E} _{\mathcal{A} ,V}(F,G):= \int _{\mathbb{M} }\langle \mathcal{A} _{\eta }\nabla ^{ext}F(\eta ), \nabla ^{ext}G(\eta )\rangle _{L^{2}(\eta )}\, {\mathrm{{d}} }{\mathcal{G} }^{V}(\eta ), \] which characterize various properties of the associated Markov semigroup. The main results are extended to the space of finite signed measures.
</p>projecteuclid.org/euclid.ejp/1580958255_20200716040103Thu, 16 Jul 2020 04:01 EDTConcentration of information content for convex measureshttps://projecteuclid.org/euclid.ejp/1580979618<strong>Matthieu Fradelizi</strong>, <strong>Jiange Li</strong>, <strong>Mokshay Madiman</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 22 pp..</p><p><strong>Abstract:</strong><br/>
We establish sharp exponential deviation estimates of the information content as well as a sharp bound on the varentropy for the class of convex measures on Euclidean spaces. This generalizes a similar development for log-concave measures in the recent work of Fradelizi, Madiman and Wang (2016). In particular, our results imply that convex measures in high dimension are concentrated in an annulus between two convex sets (as in the log-concave case) despite their possibly having much heavier tails. Various tools and consequences are developed, including a sharp comparison result for Rényi entropies, inequalities of Kahane-Khinchine type for convex measures that extend those of Koldobsky, Pajor and Yaskin (2008) for log-concave measures, and an extension of Berwald’s inequality (1947).
</p>projecteuclid.org/euclid.ejp/1580979618_20200716040103Thu, 16 Jul 2020 04:01 EDTSolving mean field rough differential equationshttps://projecteuclid.org/euclid.ejp/1581044444<strong>Ismaël Bailleul</strong>, <strong>Rémi Catellier</strong>, <strong>François Delarue</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 51 pp..</p><p><strong>Abstract:</strong><br/>
We provide in this work a robust solution theory for random rough differential equations of mean field type \[ dX_{t} = V\big ( X_{t},{\mathcal L}(X_{t})\big )dt + \textrm{F} \bigl ( X_{t},{\mathcal L}(X_{t})\bigr ) dW_{t}, \] where $W$ is a random rough path and ${\mathcal L}(X_{t})$ stands for the law of $X_{t}$, with mean field interaction in both the drift and diffusivity. We show that, in addition to the enhanced path of $W$, the underlying rough path-like setting should also comprise an infinite dimensional component obtained by regarding the collection of realizations of $W$ as a deterministic trajectory with values in some $L^{q}$ space. This advocates for a suitable notion of controlled path à la Gubinelli inspired from Lions’ approach to differential calculus on Wasserstein space, the systematic use of the latter playing a fundamental role in our study. Whilst elucidating the rough set-up is a key step in the analysis, solving the mean field rough equation requires another effort: the equation cannot be dealt with as a mere rough differential equation driven by a possibly infinite dimensional rough path. Because of the mean field component, the proof of existence and uniqueness indeed asks for a specific and quite elaborated localization-in-time argument.
</p>projecteuclid.org/euclid.ejp/1581044444_20200716040103Thu, 16 Jul 2020 04:01 EDTUniform Hanson-Wright type concentration inequalities for unbounded entries via the entropy methodhttps://projecteuclid.org/euclid.ejp/1581130826<strong>Yegor Klochkov</strong>, <strong>Nikita Zhivotovskiy</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 30 pp..</p><p><strong>Abstract:</strong><br/>
This paper is devoted to uniform versions of the Hanson-Wright inequality for a random vector $X \in \mathbb{R} ^{n}$ with independent subgaussian components. The core technique of the paper is based on the entropy method combined with truncations of both gradients of functions of interest and of the components of $X$ itself. Our results recover, in particular, the classic uniform bound of Talagrand [28] for Rademacher chaoses and the more recent uniform result of Adamczak [2] which holds under certain rather strong assumptions on the distribution of $X$. We provide several applications of our techniques: we establish a version of the standard Hanson-Wright inequality, which is tighter in some regimes. Extending our results we show a version of the dimension-free matrix Bernstein inequality that holds for random matrices with a subexponential spectral norm. We apply the derived inequality to the problem of covariance estimation with missing observations and prove an almost optimal high probability version of the recent result of Lounici [21]. Finally, we show a uniform Hanson-Wright-type inequality in the Ising model under Dobrushin’s condition. A closely related question was posed by Marton [22].
</p>projecteuclid.org/euclid.ejp/1581130826_20200716040103Thu, 16 Jul 2020 04:01 EDTExtending the Parisi formula along a Hamilton-Jacobi equationhttps://projecteuclid.org/euclid.ejp/1581735875<strong>Jean-Christophe Mourrat</strong>, <strong>Dmitry Panchenko</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 17 pp..</p><p><strong>Abstract:</strong><br/>
We study the free energy of mixed $p$-spin spin glass models enriched with an additional magnetic field given by the canonical Gaussian field associated with a Ruelle probability cascade. We prove the conjecture in [15] that this free energy converges to the Hopf-Lax solution of a certain Hamilton-Jacobi equation. Using this result, we give a new representation of the free energy of mixed $p$-spin models with soft spins.
</p>projecteuclid.org/euclid.ejp/1581735875_20200716040103Thu, 16 Jul 2020 04:01 EDTCharacterization of fully coupled FBSDE in terms of portfolio optimizationhttps://projecteuclid.org/euclid.ejp/1581735876<strong>Samuel Drapeau</strong>, <strong>Peng Luo</strong>, <strong>Dewen Xiong</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 26 pp..</p><p><strong>Abstract:</strong><br/>
We provide a verification and characterization result of optimal maximal sub-solutions of BSDEs in terms of fully coupled forward backward stochastic differential equations. We illustrate the application thereof in utility optimization with random endowment under probability and discounting uncertainty. We show with explicit examples how to quantify the costs of incompleteness when using utility indifference pricing, as well as a way to find optimal solutions for recursive utilities.
</p>projecteuclid.org/euclid.ejp/1581735876_20200716040103Thu, 16 Jul 2020 04:01 EDTModerate deviations and extinction of an epidemichttps://projecteuclid.org/euclid.ejp/1581994992<strong>Etienne Pardoux</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 27 pp..</p><p><strong>Abstract:</strong><br/>
Consider an epidemic model with a constant flux of susceptibles, in a situation where the corresponding deterministic epidemic model has a unique stable endemic equilibrium. For the associated stochastic model, whose law of large numbers limit is the deterministic model, the disease free equilibrium is an absorbing state, which is reached soon or later by the process. However, for a large population size, i.e. when the stochastic model is close to its deterministic limit, the time needed for the stochastic perturbations to stop the epidemic may be enormous. In this paper, we discuss how the Central Limit Theorem, Moderate and Large Deviations allow us to give estimates of the extinction time of the epidemic.
</p>projecteuclid.org/euclid.ejp/1581994992_20200716040103Thu, 16 Jul 2020 04:01 EDTA new approach to large deviations for the Ginzburg-Landau modelhttps://projecteuclid.org/euclid.ejp/1582254382<strong>Sayan Banerjee</strong>, <strong>Amarjit Budhiraja</strong>, <strong>Michael Perlmutter</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 51 pp..</p><p><strong>Abstract:</strong><br/>
In this work we develop stochastic control methods for the study of large deviation principles (LDP) for certain interacting particle systems. Although such methods have been well studied for analyzing large deviation properties of small noise stochastic dynamical systems [7] and of weakly interacting particle systems [6], this is the first work to implement the approach for Brownian particle systems with a local interaction. As an application of these methods we give a new proof of the large deviation principle from the hydrodynamic limit for the Ginzburg-Landau model studied in [10]. Along the way, we establish regularity properties of the densities of certain controlled Markov processes and certain results relating large deviation principles and Laplace principles in non-Polish topological spaces that are of independent interest. The proof of the LDP is based on characterizing subsequential hydrodynamic limits of controlled diffusions with nearest neighbor interaction that arise from a variational representation of certain Laplace functionals. This proof also yields a new representation for the rate function which is very natural from a control theoretic point of view. Proof techniques are very similar to those used for the law of large number analysis, namely in the proof of convergence to the hydrodynamic limit (cf. [15]). Specifically, the key step in the proof is establishing suitable bounds on relative entropies and Dirichlet forms associated with certain controlled laws. This general approach has the promise to be applicable to other interacting Brownian systems as well.
</p>projecteuclid.org/euclid.ejp/1582254382_20200716040103Thu, 16 Jul 2020 04:01 EDTThe seed bank coalescent with simultaneous switchinghttps://projecteuclid.org/euclid.ejp/1582254383<strong>Jochen Blath</strong>, <strong>Adrián González Casanova</strong>, <strong>Noemi Kurt</strong>, <strong>Maite Wilke-Berenguer</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 21 pp..</p><p><strong>Abstract:</strong><br/>
We introduce a new Wright-Fisher type model for seed banks incorporating “simultaneous switching”, which is motivated by recent work on microbial dormancy ([21], [28]). We show that the simultaneous switching mechanism leads to a new jump-diffusion limit for the scaled frequency processes, extending the classical Wright-Fisher and seed bank diffusion limits. We further establish a new dual coalescent structure with multiple activation and deactivation events of lineages. While this seems reminiscent of multiple merger events in general exchangeable coalescents, it actually leads to an entirely new class of coalescent processes with unique qualitative and quantitative behaviour. To illustrate this, we provide a novel kind of condition for coming down from infinity for these coalescents, applying a recent approach of Griffiths [12].
</p>projecteuclid.org/euclid.ejp/1582254383_20200716040103Thu, 16 Jul 2020 04:01 EDTFree energy of multiple systems of spherical spin glasses with constrained overlapshttps://projecteuclid.org/euclid.ejp/1582254384<strong>Justin Ko</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 34 pp..</p><p><strong>Abstract:</strong><br/>
The free energy for multiple systems of spherical spin glasses with constrained overlaps was first studied in [10]. In [24] the authors proved an upper bound of the constrained free energy using Guerra’s interpolation. In this paper, we prove this upper bound is sharp. Our approach combines the ideas of the Aizenman–Sims–Starr scheme in [4] and the synchronization mechanism used in the vector spin models in [22] and [23]. We derive a vector version of the Aizenman–Sims–Starr scheme for spherical spin glass and use the synchronization property of arrays obeying the overlap-matrix form of the Ghirlanda–Guerra identities to prove the matching lower bound.
</p>projecteuclid.org/euclid.ejp/1582254384_20200716040103Thu, 16 Jul 2020 04:01 EDTModulus of continuity for polymer fluctuations and weight profiles in Poissonian last passage percolationhttps://projecteuclid.org/euclid.ejp/1582534894<strong>Alan Hammond</strong>, <strong>Sourav Sarkar</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 38 pp..</p><p><strong>Abstract:</strong><br/>
In last passage percolation models, the energy of a path is maximized over all directed paths with given endpoints in a random environment, and the maximizing paths are called geodesics . The geodesics and their energy can be scaled so that transformed geodesics cross unit distance and have fluctuations and scaled energy of unit order. Here we consider Poissonian last passage percolation, a model lying in the KPZ universality class, and refer to scaled geodesics as polymers and their scaled energies as weights . Polymers may be viewed as random functions of the vertical coordinate and, when they are, we show that they have modulus of continuity whose order is at most $t^{2/3}\big (\log t^{-1}\big )^{1/3}$. The power of one-third in the logarithm may be expected to be sharp and in a related problem we show that it is: among polymers in the unit box whose endpoints have vertical separation $t$ (and a horizontal separation of the same order), the maximum transversal fluctuation has order $t^{2/3}\big (\log t^{-1}\big )^{1/3}$. Regarding the orthogonal direction, in which growth occurs, we show that, when one endpoint of the polymer is fixed at $(0,0)$ and the other is varied vertically over $(0,z)$, $z\in [1,2]$, the resulting random weight profile has sharp modulus of continuity of order $t^{1/3}\big (\log t^{-1}\big )^{2/3}$. In this way, we identify exponent pairs of $(2/3,1/3)$ and $(1/3,2/3)$ in power law and polylogarithmic correction, respectively for polymer fluctuation, and polymer weight under vertical endpoint perturbation. The two exponent pairs describe [9, 10, 8] the fluctuation of the boundary separating two phases in subcritical planar random cluster models.
</p>projecteuclid.org/euclid.ejp/1582534894_20200716040103Thu, 16 Jul 2020 04:01 EDTScaling limit of sub-ballistic 1D random walk among biased conductances: a story of wells and wallshttps://projecteuclid.org/euclid.ejp/1582534895<strong>Quentin Berger</strong>, <strong>Michele Salvi</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 43 pp..</p><p><strong>Abstract:</strong><br/>
We consider a one-dimensional random walk among biased i.i.d. conductances, in the case where the random walk is transient but sub-ballistic: this occurs when the conductances have a heavy-tail at $+\infty $ or at $0$. We prove that the scaling limit of the process is the inverse of an $\alpha $-stable subordinator, which indicates an aging phenomenon, expressed in terms of the generalized arcsine law. In analogy with the case of an i.i.d. random environment studied in details in [ESZ09a, ESTZ13], some “traps” are responsible for the slowdown of the random walk. However, the phenomenology is somehow different (and richer) here. In particular, three types of traps may occur, depending on the fine properties of the tails of the conductances: (i) a very large conductance (a well in the potential); (ii) a very small conductance (a wall in the potential); (iii) the combination of a large conductance followed shortly after by a small conductance (a well-and-wall in the potential).
</p>projecteuclid.org/euclid.ejp/1582534895_20200716040103Thu, 16 Jul 2020 04:01 EDTA Berry–Esseén theorem for partial sums of functionals of heavy-tailed moving averageshttps://projecteuclid.org/euclid.ejp/1582858935<strong>Andreas Basse-O’Connor</strong>, <strong>Mark Podolskij</strong>, <strong>Christoph Thäle</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 31 pp..</p><p><strong>Abstract:</strong><br/>
In this paper we obtain Berry–Esseén bounds on partial sums of functionals of heavy-tailed moving averages, including the linear fractional stable noise, stable fractional ARIMA processes and stable Ornstein–Uhlenbeck processes. Our rates are obtained for the Wasserstein and Kolmogorov distances, and depend strongly on the interplay between the memory of the process, which is controlled by a parameter $\alpha $, and its tail-index, which is controlled by a parameter $\beta $. In fact, we obtain the classical $1/\sqrt {n}$ rate of convergence when the tails are not too heavy and the memory is not too strong, more precisely, when $\alpha \beta >3$ or $\alpha \beta >4$ in the case of Wasserstein and Kolmogorov distance, respectively.
Our quantitative bounds rely on a new second-order Poincaré inequality on the Poisson space, which we derive through a combination of Stein’s method and Malliavin calculus. This inequality improves and generalizes a result by Last, Peccati, Schulte [ Probab. Theory Relat. Fields 165 (2016)].
</p>projecteuclid.org/euclid.ejp/1582858935_20200716040103Thu, 16 Jul 2020 04:01 EDTThick points of random walk and the Gaussian free fieldhttps://projecteuclid.org/euclid.ejp/1582858936<strong>Antoine Jego</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 39 pp..</p><p><strong>Abstract:</strong><br/>
We consider the thick points of random walk, i.e. points where the local time is a fraction of the maximum. In two dimensions, we answer a question of [19] and compute the number of thick points of planar random walk, assuming that the increments are symmetric and have a finite moment of order two. The proof provides a streamlined argument based on the connection to the Gaussian free field and works in a very general setting including isoradial graphs. In higher dimensions, we study the scaling limit of the set of thick points. In particular, we show that the rescaled number of thick points converges to a nondegenerate random variable and that the centred maximum of the local times converges to a randomly shifted Gumbel distribution.
</p>projecteuclid.org/euclid.ejp/1582858936_20200716040103Thu, 16 Jul 2020 04:01 EDTRandom walks in random hypergeometric environmenthttps://projecteuclid.org/euclid.ejp/1583805862<strong>Tal Orenshtein</strong>, <strong>Christophe Sabot</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 21 pp..</p><p><strong>Abstract:</strong><br/>
We consider one-dependent random walks on ${\mathbb{Z} }^{d}$ in random hypergeometric environment for $d\ge 3$. These are memory-one walks in a large class of environments parameterized by positive weights on directed edges and on pairs of directed edges which includes the class of Dirichlet environments as a special case. We show that the walk is a.s. transient for any choice of the parameters, and moreover that the return time has some finite positive moment. We then give a characterization for the existence of an invariant measure for the process from the point of view of the walker which is absolutely continuous with respect to the initial distribution on the environment in terms of a function $\kappa $ of the initial weights. These results generalize [Sab11] and [Sab13] on random walks in Dirichlet environment. It turns out that $\kappa $ coincides with the corresponding parameter in the Dirichlet case, and so in particular the existence of such invariant measures is independent of the weights on pairs of directed edges, and determined solely by the weights on directed edges.
</p>projecteuclid.org/euclid.ejp/1583805862_20200716040103Thu, 16 Jul 2020 04:01 EDTLeaves on the line and in the planehttps://projecteuclid.org/euclid.ejp/1588644036<strong>Mathew D. Penrose</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 40 pp..</p><p><strong>Abstract:</strong><br/>
The dead leaves model (DLM) provides a random tessellation of $d$-space, representing the visible portions of fallen leaves on the ground when $d=2$. For $d=1$, we establish formulae for the intensity, two-point correlations, and asymptotic covariances for the point process of cell boundaries, along with a functional CLT. For $d=2$ we establish analogous results for the random surface measure of cell boundaries, and also determine the intensity of cells in a more general setting than in earlier work of Cowan and Tsang. We introduce a general notion of dead leaves random measures and give formulae for means, asymptotic variances and functional CLTs for these measures; this has applications to various other quantities associated with the DLM.
</p>projecteuclid.org/euclid.ejp/1588644036_20200716040103Thu, 16 Jul 2020 04:01 EDTDivide and color representations for threshold Gaussian and stable vectorshttps://projecteuclid.org/euclid.ejp/1588644037<strong>Malin P. Forsström</strong>, <strong>Jeffrey E. Steif</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 45 pp..</p><p><strong>Abstract:</strong><br/>
We study the question of when a $\{0,1\}$-valued threshold process associated to a mean zero Gaussian or a symmetric stable vector corresponds to a divide and color (DC) process . This means that the process corresponding to fixing a threshold level $h$ and letting a 1 correspond to the variable being larger than $h$ arises from a random partition of the index set followed by coloring all elements in each partition element 1 or 0 with probabilities $p$ and $1-p$, independently for different partition elements.
While it turns out that all discrete Gaussian free fields yield a DC process when the threshold is zero, for general $n$-dimensional mean zero, variance one Gaussian vectors with nonnegative covariances, this is true in general when $n=3$ but false for $n=4$.
The behavior is quite different depending on whether the threshold level $h$ is zero or not and we show that there is no general monotonicity in $h$ in either direction. We also show that all constant variance discrete Gaussian free fields with a finite number of variables yield DC processes for large thresholds.
In the stable case, for the simplest nontrivial symmetric stable vector with three variables, we obtain a phase transition in the stability exponent $\alpha $ at the surprising value of $1/2$; if the index of stability is larger than $1/2$, then the process yields a DC process for large $h$ while if the index of stability is smaller than $1/2$, then this is not the case.
</p>projecteuclid.org/euclid.ejp/1588644037_20200716040103Thu, 16 Jul 2020 04:01 EDTExponential and Laplace approximation for occupation statistics of branching random walkhttps://projecteuclid.org/euclid.ejp/1588644038<strong>Erol A. Peköz</strong>, <strong>Adrian Röllin</strong>, <strong>Nathan Ross</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 22 pp..</p><p><strong>Abstract:</strong><br/>
We study occupancy counts for the critical nearest-neighbor branching random walk on the $d$-dimensional lattice, conditioned on non-extinction. For $d\geq 3$, Lalley and Zheng [4] showed that the properly scaled joint distribution of the number of sites occupied by $j$ generation-$n$ particles, $j=1,2,\ldots $, converges in distribution as $n$ goes to infinity, to a deterministic multiple of a single exponential random variable. The limiting exponential variable can be understood as the classical Yaglom limit of the total population size of generation $n$. Here we study the second order fluctuations around this limit, first, by providing a rate of convergence in the Wasserstein metric that holds for all $d\geq 3$, and second, by showing that for $d\geq 7$, the weak limit of the scaled joint differences between the number of occupancy-$j$ sites and appropriate multiples of the total population size converge in the Wasserstein metric to a multivariate symmetric Laplace distribution. We also provide a rate of convergence for this latter result.
</p>projecteuclid.org/euclid.ejp/1588644038_20200716040103Thu, 16 Jul 2020 04:01 EDTKingman’s coalescent with erosionhttps://projecteuclid.org/euclid.ejp/1588644039<strong>Félix Foutel-Rodier</strong>, <strong>Amaury Lambert</strong>, <strong>Emmanuel Schertzer</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 33 pp..</p><p><strong>Abstract:</strong><br/>
Consider the Markov process taking values in the partitions of $\mathbb{N} $ such that each pair of blocks merges at rate one, and each integer is eroded, i.e., becomes a singleton block, at rate $d$. This is a special case of exchangeable fragmentation-coalescence process, called Kingman’s coalescent with erosion. We provide a new construction of the stationary distribution of this process as a sample from a standard flow of bridges. This allows us to give a representation of the asymptotic frequencies of this stationary distribution in terms of a sequence of independent diffusions. Moreover, we introduce a new process valued in the partitions of $\mathbb{Z} $ called Kingman’s coalescent with immigration, where pairs of blocks coalesce at rate one, and new blocks of size one immigrate according to a Poisson process of intensity $d$. By coupling Kingman’s coalescents with erosion and with immigration, we are able to show that the size of a block chosen uniformly at random from the stationary distribution of the restriction of Kingman’s coalescent with erosion to $\{1, \dots , n\}$ converges as $n\to \infty $ to the total progeny of a critical binary branching process.
</p>projecteuclid.org/euclid.ejp/1588644039_20200716040103Thu, 16 Jul 2020 04:01 EDTRescaling the spatial Lambda-Fleming-Viot process and convergence to super-Brownian motionhttps://projecteuclid.org/euclid.ejp/1588644040<strong>J. Theodore Cox</strong>, <strong>Edwin A. Perkins</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 56 pp..</p><p><strong>Abstract:</strong><br/>
We show that a space-time rescaling of the spatial Lamba-Fleming-Viot process of Barton and Etheridge converges to super-Brownian motion. This can be viewed as an extension of a result of Chetwynd-Diggle and Etheridge [5]. In that work the scaled impact factors (which govern the event based dynamics) vanish in the limit, here we drop that requirement. The analysis is particularly interesting in the biologically relevant two-dimensional case.
</p>projecteuclid.org/euclid.ejp/1588644040_20200716040103Thu, 16 Jul 2020 04:01 EDTOn hydrodynamic limits of Young diagramshttps://projecteuclid.org/euclid.ejp/1588644041<strong>Ibrahim Fatkullin</strong>, <strong>Sunder Sethuraman</strong>, <strong>Jianfei Xue</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 44 pp..</p><p><strong>Abstract:</strong><br/>
We consider a family of stochastic models of evolving two-dimensional Young diagrams, given in terms of certain energies, with Gibbs invariant measures. ‘Static’ scaling limits of the shape functions, under these Gibbs measures, have been shown in the literature. The purpose of this article is to study corresponding, but less understood, ‘dynamical’ limits. We show that the hydrodynamic scaling limits of the diagram shape functions may be described by different types of parabolic PDEs, depending on the energy structure.
</p>projecteuclid.org/euclid.ejp/1588644041_20200716040103Thu, 16 Jul 2020 04:01 EDTOn consecutive values of random completely multiplicative functionshttps://projecteuclid.org/euclid.ejp/1588644042<strong>Joseph Najnudel</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 28 pp..</p><p><strong>Abstract:</strong><br/>
In this article, we study the behavior of consecutive values of random completely multiplicative functions $(X_{n})_{n \geq 1}$ whose values are i.i.d. at primes. We prove that for $X_{2}$ uniform on the unit circle, or uniform on the set of roots of unity of a given order, and for fixed $k \geq 1$, $X_{n+1}, \dots , X_{n+k}$ are independent if $n$ is large enough. Moreover, with the same assumption, we prove the almost sure convergence of the empirical measure $N^{-1} \sum _{n=1}^{N} \delta _{(X_{n+1}, \dots , X_{n+k})}$ when $N$ goes to infinity, with an estimate of the rate of convergence. At the end of the paper, we also show that for any probability distribution on the unit circle followed by $X_{2}$, the empirical measure converges almost surely when $k=1$.
</p>projecteuclid.org/euclid.ejp/1588644042_20200716040103Thu, 16 Jul 2020 04:01 EDTStability of overshoots of zero mean random walkshttps://projecteuclid.org/euclid.ejp/1591668284<strong>Aleksandar Mijatović</strong>, <strong>Vladislav Vysotsky</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 22 pp..</p><p><strong>Abstract:</strong><br/>
We prove that for a random walk on the real line whose increments have zero mean and are either integer-valued or spread out (i.e. the distributions of steps of the walk are eventually non-singular), the Markov chain of overshoots above a fixed level converges in total variation to its stationary distribution. We find the explicit form of this distribution heuristically and then prove its invariance using a time-reversal argument. If, in addition, the increments of the walk are in the domain of attraction of a non-one-sided $\alpha $-stable law with index $\alpha \in (1,2)$ (resp. have finite variance), we establish geometric (resp. uniform) ergodicity for the Markov chain of overshoots. All the convergence results above are also valid for the Markov chain obtained by sampling the walk at the entrance times into an interval.
</p>projecteuclid.org/euclid.ejp/1591668284_20200716040103Thu, 16 Jul 2020 04:01 EDTExtensive condensation in a model of preferential attachment with fitnesshttps://projecteuclid.org/euclid.ejp/1592964036<strong>Nic Freeman</strong>, <strong>Jonathan Jordan</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 42 pp..</p><p><strong>Abstract:</strong><br/>
We introduce a new model of preferential attachment with fitness, and establish a time reversed duality between the model and a system of branching-coalescing particles. Using this duality, we give a clear and concise explanation for the condensation phenomenon, in which unusually fit vertices may obtain abnormally high degree: it arises from a growth-extinction dichotomy within the branching part of the dual.
We show further that the condensation is extensive. As the graph grows, unusually fit vertices become, each only for a limited time, neighbouring to a non-vanishing proportion of the current graph.
</p>projecteuclid.org/euclid.ejp/1592964036_20200716040103Thu, 16 Jul 2020 04:01 EDTStationary solutions of damped stochastic 2-dimensional Euler’s equationhttps://projecteuclid.org/euclid.ejp/1593137129<strong>Francesco Grotto</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 24 pp..</p><p><strong>Abstract:</strong><br/>
Existence of stationary point vortices solution to the damped and stochastically driven Euler’s equation on the two dimensional torus is proved, by taking limits of solutions with finitely many vortices. A central limit scaling is used to show in a similar manner the existence of stationary solutions with white noise marginals.
</p>projecteuclid.org/euclid.ejp/1593137129_20200716040103Thu, 16 Jul 2020 04:01 EDTEffect of microscopic pausing time distributions on the dynamical limit shapes for random Young diagramshttps://projecteuclid.org/euclid.ejp/1593137130<strong>Akihito Hora</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 21 pp..</p><p><strong>Abstract:</strong><br/>
The irreducible decomposition of successive restriction and induction of irreducible representations of a symmetric group gives rise to a Markov chain on Young diagrams keeping the Plancherel measure invariant. Starting from this Res-Ind chain, we introduce a not necessarily Markovian continuous time random walk on Young diagrams by considering a general pausing time distribution between jumps according to the transition probability of the Res-Ind chain. We show that, under appropriate assumptions for the pausing time distribution, a diffusive scaling limit brings us concentration at a certain limit shape depending on macroscopic time which leads to a similar consequence to the exponentially distributed case studied in our earlier work. The time evolution of the limit shape is well described by using free probability theory. On the other hand, we illustrate an anomalous phenomenon observed with a pausing time obeying a one-sided stable distribution, heavy-tailed without the mean, in which a nontrivial behavior appears under a non-diffusive regime of the scaling limit.
</p>projecteuclid.org/euclid.ejp/1593137130_20200716040103Thu, 16 Jul 2020 04:01 EDTHydrodynamic limit of a $(2+1)$-dimensional crystal growth model in the anisotropic KPZ classhttps://projecteuclid.org/euclid.ejp/1594173639<strong>Vincent Lerouvillois</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 35 pp..</p><p><strong>Abstract:</strong><br/>
We study a model, introduced initially by Gates and Westcott [11] to describe crystal growth evolution, which belongs to the Anisotropic KPZ universality class [19]. It can be thought of as a $(2+1)$-dimensional generalisation of the well known ($1+1$)-dimensional Polynuclear Growth Model (PNG). We show the full hydrodynamic limit of this process i.e the convergence of the random interface height profile after ballistic space-time scaling to the viscosity solution of a Hamilton-Jacobi PDE: $\partial _{t}u = v(\nabla u)$ with $v$ an explicit non-convex speed function. The convergence holds in the strong almost sure sense.
</p>projecteuclid.org/euclid.ejp/1594173639_20200716040103Thu, 16 Jul 2020 04:01 EDTOn the regularisation of the noise for the Euler-Maruyama scheme with irregular drifthttps://projecteuclid.org/euclid.ejp/1594886428<strong>Konstantinos Dareiotis</strong>, <strong>Máté Gerencsér</strong>. <p><strong>Source: </strong>Electronic Journal of Probability, Volume 25, 18 pp..</p><p><strong>Abstract:</strong><br/>
The strong rate of convergence of the Euler-Maruyama scheme for nondegenerate SDEs with irregular drift coefficients is considered. In the case of $\alpha $-Hölder drift in the recent literature the rate $\alpha /2$ was proved in many related situations. By exploiting the regularising effect of the noise more efficiently, we show that the rate is in fact arbitrarily close to $1/2$ for all $\alpha >0$. The result extends to Dini continuous coefficients, while in $d=1$ also to all bounded measurable coefficients.
</p>projecteuclid.org/euclid.ejp/1594886428_20200716040103Thu, 16 Jul 2020 04:01 EDT