ERGODICITY OF CRITICAL SPATIAL BRANCHING-PROCESSES IN LOW DIMENSIONS

被引:16
作者
BRAMSON, M
COX, JT
GREVEN, A
机构
[1] SYRACUSE UNIV,DEPT MATH,SYRACUSE,NY 13244
[2] UNIV GOTTINGEN,INST MATH STOCHAST,W-3400 GOTTINGEN,GERMANY
关键词
CRITICAL BRANCHING BROWNIAN MOTION; DAWSON-WATANABE PROCESS; INVARIANT MEASURES;
D O I
10.1214/aop/1176989006
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 [统计学]; 070103 [概率论与数理统计]; 0714 [统计学];
摘要
We consider two critical spatial branching processes on R(d): critical branching Brownian motion, and the Dawson-Watanabe process. A basic feature of these processes is that their ergodic behavior is highly dimension-dependent. It is known that in low dimensions, d less than or equal to 2, the unique invariant measure with finite intensity is delta(0), the unit point mass on the empty state. In high dimensions, d greater than or equal to 3, there is a one-parameter family of nondegenerate invariant measures. We prove here that for d less than or equal to 2, delta(0) is the only invariant measure. In our proof we make use of sub- and super-solutions of the partial differential equation partial derivative u/partial derivative t = (1/2)Delta u - bu(2).
引用
收藏
页码:1946 / 1957
页数:12
相关论文
共 29 条
[1]
BREZIS H, 1986, ARCH RATION MECH AN, V95, P185, DOI 10.1007/BF00251357
[2]
CLIFFORD P, 1973, BIOMETRIKA, V73, P581
[3]
DIFFUSIVE CLUSTERING IN THE 2-DIMENSIONAL VOTER MODEL [J].
COX, JT ;
GRIFFEATH, D .
ANNALS OF PROBABILITY, 1986, 14 (02) :347-370
[4]
COX JT, 1991, ERGODIC THEOREMS INF
[5]
CRITICAL MEASURE DIFFUSION PROCESS [J].
DAWSON, DA .
ZEITSCHRIFT FUR WAHRSCHEINLICHKEITSTHEORIE UND VERWANDTE GEBIETE, 1977, 40 (02) :125-145
[6]
DAWSON DA, 1988, STOCH ANAL APPL, V4, P117
[7]
DAWSON DA, 1992, LECTURE NOTES INFINI
[8]
FIXED-POINTS OF THE SMOOTHING TRANSFORMATION [J].
DURRETT, R ;
LIGGETT, TM .
ZEITSCHRIFT FUR WAHRSCHEINLICHKEITSTHEORIE UND VERWANDTE GEBIETE, 1983, 64 (03) :275-301
[9]
INFINITE PARTICLE SYSTEM WITH ADDITIVE INTERACTIONS [J].
DURRETT, R .
ADVANCES IN APPLIED PROBABILITY, 1979, 11 (02) :355-383
[10]
Ethier S.N., 2005, MARKOV PROCESSES CHA, Vsecond