TY - JOUR
T1 - Sharp asymptotics for N-point correlation functions of coalescing heavy-tailed random walks
AU - Yu, Jinjiong
N1 - Publisher Copyright:
© 2026 Elsevier B.V.
PY - 2026/5
Y1 - 2026/5
N2 - We study a system of coalescing continuous-time random walks starting from every site on Z, where the jump increments lie in the domain of attraction of an α-stable distribution with α ∈ (0, 1]. We establish sharp asymptotics for the N-point correlation function of the system. Our analysis relies on two precise tail estimates for the system density, as well as the non-collision probability of N independent random walks with arbitrary fixed initial configurations. In addition, we derive refined estimates for heavy-tailed random walks, which may be of independent interest.
AB - We study a system of coalescing continuous-time random walks starting from every site on Z, where the jump increments lie in the domain of attraction of an α-stable distribution with α ∈ (0, 1]. We establish sharp asymptotics for the N-point correlation function of the system. Our analysis relies on two precise tail estimates for the system density, as well as the non-collision probability of N independent random walks with arbitrary fixed initial configurations. In addition, we derive refined estimates for heavy-tailed random walks, which may be of independent interest.
KW - Coalescing random walks
KW - Heavy-tailed random walk
KW - N-point correlation functions
KW - Non-coalescing probability
UR - https://www.scopus.com/pages/publications/105029317174
U2 - 10.1016/j.spa.2026.104897
DO - 10.1016/j.spa.2026.104897
M3 - 文章
AN - SCOPUS:105029317174
SN - 0304-4149
VL - 195
JO - Stochastic Processes and their Applications
JF - Stochastic Processes and their Applications
M1 - 104897
ER -