1978
DOI: 10.2977/prims/1195188837
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Generalized Ornstein-Uhlenbeck Processes and Infinite Particle Branching Brownian Motions

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Cited by 184 publications
(85 citation statements)
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“…The proof employs two rather separate techniques (i) the martingale approach to the convergence of stochastic processes worked out in a form applicable to our problem by R. A. Holley and D. W. Stroock [20] and (ii) low fugacity cluster expansion as is well known from Statistical Mechanics [21, Chap. IV].…”
Section: Strategy Of the Proofmentioning
confidence: 99%
“…The proof employs two rather separate techniques (i) the martingale approach to the convergence of stochastic processes worked out in a form applicable to our problem by R. A. Holley and D. W. Stroock [20] and (ii) low fugacity cluster expansion as is well known from Statistical Mechanics [21, Chap. IV].…”
Section: Strategy Of the Proofmentioning
confidence: 99%
“…with the boundary conditions, We denote by X t ,2(σ) and X t$z (σ) 9 the second term and the third term of the right hand side of the equation (2.7), respectively. When K -1, the fundamental solution will be denoted by q(t, σ, τ) instead of p (t, σ, τ).…”
Section: The Sequence {X N } Is Tight If It Satisfies These Two Condimentioning
confidence: 99%
“…Much of the recent work on this and related processes has been on limit theorems of various sorts (e.g. Dawson [1977], Holley and Stroock [1978], Iscoe [1986], Cox and Griffeath [1985]). We study a sample path property of the process, namely the Hausdorff measure of its support as time varies.…”
mentioning
confidence: 99%
“…Yt denotes a d-dimensional symmetric stable process of index a e [0,2], starting at x g Rd under the measure P£, and scaled so that The measure-valued diffusions that we study may be characterized as solutions of a martingale problem (see Holley and Stroock [1978], Dawson and Kurtz [1982], Roelly-Coppoletta [1986]). The last reference contains a detailed proof of Theorem 1.1.…”
mentioning
confidence: 99%