A dynamic model for the two-parameter Dirichlet process

Abstract

Let α=1/2, θ>-1/2, and 0 be a probability measure on a type space S. In this paper, we investigate the stochastic dynamic model for the two-parameter Dirichlet process α,θ,0. If S=N, we show that the bilinear form eqnarray* \ arrayl E(F,G)=12∫ P1(N) ∇ F(μ),∇ G(μ)μ α,θ,0(dμ),\ \ F,G∈ F,\\ F=\F(μ)=f(μ(1),…,μ(d)):f∈ C∞(Rd), d 1\ array . eqnarray* is closable on L2( P1(N);α,θ,0) and its closure ( E, D( E)) is a quasi-regular Dirichlet form. Hence ( E, D( E)) is associated with a diffusion process in P1(N) which is time-reversible with the stationary distribution α,θ,0. If S is a general locally compact, separable metric space, we discuss properties of the model eqnarray* \ arrayl E(F,G)=12∫ P1(S) ∇ F(μ),∇ G(μ)μ α,θ,0(dμ),\ \ F,G∈ F,\\ F=\F(μ)=f( φ1,μ,…, φd,μ): φi∈ Bb(S),1 i d,f∈ C∞(Rd),d 1\. array . eqnarray* In particular, we prove the Mosco convergence of its projection forms.

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