Source: Ann. Probab. Volume 25, Number 2
(1997), 812-854.
Let $(B^t (s), 0 \leq s < \infty)$ be reflecting inhomogeneous
Brownian motion with drift $t - s$ at time $s$, started with $B^t (0) = 0$.
Consider the random graph $\mathscr{G}(n, n^{-1} + tn^{-4/3})$, whose largest
components have size of order $n^{2/3}$. Normalizing by $n^{-2/3}$, the
asymptotic joint distribution of component sizes is the same as the joint
distribution of excursion lengths of $B^t$ (Corollary 2). The dynamics of
merging of components as $t$ increases are abstracted to define the
multiplicative coalescent process. The states of this process are vectors
$\mathsf{x}$ of nonnegative real cluster sizes $(x_i)$, and clusters with sizes
$x_i$ and $x_j$ merge at rate $x_i x_j$. The multiplicative coalescent is shown
to be a Feller process on l_2$. The random graph limit specifies the standard
multiplicative coalescent, which starts from infinitesimally small clusters at
time $-\infty$; the existence of such a process is not obvious.
References
[1] Aldous, D. J. (1991). The continuum random tree. II: an overview. In Stochastic Analysis (M. T. Barlow and N. H. Bingham, eds.) 23-70. Cambridge Univ. Press.
[2] Aldous, D. J. (1993). The continuum random tree. III. Ann. Probab. 21 248-289.
[3] Aldous, D. J. (1996). Deterministic and stochastic models for coalescence: a review of the mean-field theory for probabilists. Unpublished manuscript.
[4] Aldous, D. J. and Limic, V. (1996). The entrance boundary of the multiplicative coalescent. Unpublished manuscript.
[5] Aldous, D. J. and Pitman, J. (1994). Brownian bridge asymptotics for random mappings. Random Structures and Algorithms 5 487-512.
[6] Barbour, A. D., Holst, L. and Janson, S. (1992). Poisson Approximation. Oxford Univ. Press.
[7] Bollob´as, B. (1985). Random Graphs. Academic Press, London.
[8] Borgs, C., Chayes, J., Kesten, H. and Spencer, J. (1996). The birth of the infinite cluster: finite-size scaling in percolation. Unpublished manuscript.
[9] Donnelly, P. and Joyce, P. (1992). Weak convergence of population genealogical processes to the coalescent with ages. Ann. Probab. 20 322-341.
[10] Drake, R. L. (1972). A general mathematical survey of the coagulation equation. International Reviews in Aerosol Physics and Chemistry 3 201-376. Pergamon, Elmsford, NY.
[11] Erd os, P. and R´enyi, A. (1960). On the evolution of random graphs. Publ. Math. Inst. Hungar. Acad. Sci. 5 17-61.
[12] Erd os, P. and R´enyi, A. (1961). On the evolution of random graphs. Bull. Inst. Internat. Statist. 38 343-347.
[13] Ethier, S. N. and Kurtz, T. G. (1986). Markov Processes: Characterization and Convergence. Wiley, New York.
Mathematical Reviews (MathSciNet):
MR838085
[14] Evans, S. N. and Pitman, J. (1996). Construction of Markovian coalescents. Technical Report 465, Dept. Statistics, Univ. California, Berkeley.
[15] Janson, S. (1993). Multicyclic components in a random graph process. Random Structures and Algorithms 4 71-84.
[16] Janson, S., Knuth, D. E., Luczak, T. and Pittel, B. (1993). The birth of the giant component. Random Structures and Algorithms 4 233-358.
[17] Kallenberg, O. (1983). Random Measures. Akademie-Verlag, Berlin.
[18] Kingman, J. F. C. (1982). The coalescent. Stochastic Process. Appl. 13 235-248.
[19] Luczak, T., Pittel, B. and Wierman, J. C. (1994). The structure of a random graph at the point of the phase transition. Trans. Amer. Math. Soc. 341 721-748.
[20] Lushnikov, A. A. (1978). Coagulation in finite systems. J. Colloid and Interface Science 65 276-285.
[21] Marcus, A. H. (1968). Stochastic coalescence. Technometrics 10 133-143.
[22] Martin-L ¨of, A. (1996). The final size of a nearly critical epidemic, and the first passage time of a Wiener process to a parabolic barrier. J. Appl. Probab. To appear.
[23] Pitman, J. (1992). Partition structures derived from Brownian motion and stable subordinators. Technical Report 346, Dept. Statistics, Univ. California, Berkeley.
[24] Pitman, J. W. and Yor, M. (1997). The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator. Ann. Probab. 25 855-900.
[25] Revuz, D. and Yor, M. (1991). Continuous Martingales and Brownian Motion. Springer, Berlin.
[26] Rogers, L. C. G. and Williams, D. (1987). Diffusions, Markov Processes and Martingales: It o Calculus 2. Wiley, New York.
Mathematical Reviews (MathSciNet):
MR921238
[27] Rogers, L. C. G. and Williams, D. (1994). Diffusions, Markov Processes and Martingales: Foundations 1, 2nd ed. Wiley, New York.
[28] Spencer, J. (1996). Enumerating graphs and Brownian motion. Technical report, Courant Institute, New York.
[29] Tak acs, L. (1991). A Bernouilli excursion and its various applications. Adv. in Appl. Probab. 23 557-585.
[30] van Dongen, P. G. J. (1987). Fluctuations in coagulating systems. II. J. Statist. Phys. 49 927-975.
[31] van Dongen, P. G. J. and Ernst, M. H. (1987). Fluctuations in coagulating systems. J. Statist. Phys. 49 879-926.