Source: Ann. Probab. Volume 30, Number 4
(2002), 1605-1656.
We equip the intersection of p independent Brownian paths in $\mathbb{R}^d$, $d\ge 2$, with the natural measure $\ell$ defined by projecting the intersection local time measure via one of the Brownian motions onto the set of intersection points. Given a bounded domain $U\subset\mathbb{R}^d$ we show that, as $a\uparrow\infty$, the probability of the event $\{\ell(U)>a\}$ decays with an exponential rate of $a^{1/p}\theta$, where $\theta$ is described in terms of a variational problem. In the important special case when U is the unit ball in $\mathbb{R}^3$ and $p=2$, we characterize $\theta$ in terms of an ordinary differential equation. We apply our results to the problem of finding the Hausdorff dimension spectrum for the thick points of the intersection of two independent Brownian paths in $\mathbb{R}^3$.
References
[1] ABRAMOWITZ, M. and STEGUN, I. A. (1972). Handbook of Mathematical Functions with Formulas, Graphs and Mathematical Tables. Dover, New York.
[2] AMANN, H. (1976). Fixed-point equations and nonlinear eigenvalue problems in ordered Banach spaces. SIAM Rev. 18 620-709.
[3] BASS, R. F. (1995). Probabilistic Techniques in Analy sis. Springer, New York.
[4] CIESIELSKI, Z. and TAy LOR, S. J. (1962). First passage times and sojourn times for Brownian motion in space and the exact Hausdorff measure of the sample path. Trans. Amer. Math. Soc. 103 434-450.
Mathematical Reviews (MathSciNet):
MR26:816
[5] DEMBO, A., PERES, Y., ROSEN, J. and ZEITOUNI, O. (2000). Thick points for spatial Brownian motion: Multifractal analysis of occupation measure. Ann. Probab. 28 1-35.
[6] DEMBO, A., PERES, Y., ROSEN, J. and ZEITOUNI, O. (2000). Thick points for intersections of planar Brownian paths. Preprint.
[7] DEMBO, A., PERES, Y., ROSEN, J. and ZEITOUNI, O. (2001). Thin points for Brownian motion. Ann. Inst. H. Poincaré Probab. Statist. 36 749-774.
[8] DEMBO, A., PERES, Y., ROSEN, J. and ZEITOUNI, O. (2001). Thick points for planar Brownian motion and the Erdös-Tay lor conjecture on random walk. Acta Math. 186 239- 270.
[9] DEMBO, A. and ZEITOUNI, O. (1996). Large Deviations Techniques and Applications. Jones and Bartlett, Boston.
[10] DEN HOLLANDER, F. (2000). Large Deviations. Amer. Math. Soc., Providence, RI.
[11] GEMAN, D., HOROWITZ, J. and ROSEN, J. (1984). A local time analysis of intersections of Brownian motion in the plane. Ann. Probab. 12 86-107.
Mathematical Reviews (MathSciNet):
MR723731
[12] HAWKES, J. (1981). Trees generated by a simple branching process. J. London Math. Soc. 24 373-384.
[13] KHOSHNEVISAN, D., PERES, Y. and XIAO, Y. (2000). Limsup random fractals. Electron. J. Probab. 5 1-24.
[14] LE GALL, J.-F. (1986). Sur la saucisse de Wiener et les points multiples du mouvement brownien. Ann. Probab. 14 1219-1244.
[15] LE GALL, J.-F. (1987, 1989). The exact Hausdorff measure of Brownian multiple points I and II. In Seminar on Stochastic Processes 1986 (E. Çinlar, R. K. Getoor, K. L. Chung and J. Glover, eds.) 107-137 and Seminar on Stochastic Processes 1988 (E. Çinlar, K. L. Chung and M. J. Sharpe, eds.) 193-197. Birkhäuser, Boston.
[16] LE GALL, J.-F. (1992). Some Properties of Planar Brownian Motion. Lecture Notes in Math. 1527. Springer, New York.
[17] LIEB, E. H. and LOSS, M. (1997). Analy sis. Amer. Mat. Soc., Providence, RI.
[18] Ly ONS, R. (1990). Random walks and percolation on trees. Ann. Probab. 18 931-958.
[19] MÖRTERS, P. and SHIEH, N. R. (2001). Thin and thick points for branching measure on a Galton-Watson tree. Preprint.
[20] PERES, Y. (1996). Remarks on intersection-equivalence and capacity-equivalence. Ann. Inst. H. Poincaré Phy s. Théor. 64 339-347.
[21] PORT, S. and STONE, C. (1978). Brownian Motion and Classical Potential Theory. Academic Press, New York.
[22] RAY, D. (1963). Sojourn times and the exact Hausdorff measure of the sample paths of planar Brownian motion. Trans. Amer. Math. Soc. 108 436-444.
Mathematical Reviews (MathSciNet):
MR145599
[23] SHIEH, N. R. and TAy LOR, S. J. (1998). Logarithmic multifractal spectrum of stable occupation measure. Stochastic Process. Appl. 75 249-261.
[24] SHIEH, N. R. and TAy LOR, S. J. (2000). Multifractal spectra of branching measure on a Galton-Watson tree. Preprint.