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Stochastic quantization and ergodic theorem for density of diffusions 被引量:1

Stochastic quantization and ergodic theorem for density of diffusions
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摘要 For a given probability density function p(x) on R^d, we construct a (non-stationary) diffusion process xt, starting at any point x in R^d, such that 1/T ∫_o^T δ(xt-x)dt converges to p(x) almost surely. The rate of this convergence is also investigated. To find this rate, we mainly use the Clark-Ocone formula from Malliavin calculus and the Girsanov transformation technique. For a given probability density function ρ(x) on Rd,we construct a(non-stationary) diffusion process xt,starting at any point x in Rd,such that 1/T∫T0 δ(xt-x)dt converges to ρ(x) almost surely.The rate of this convergence is also investigated.To find this rate,we mainly use the Clark-Ocone formula from Malliavin calculus and the Girsanov transformation technique.
作者 HU YaoZhong
出处 《Science China Mathematics》 SCIE 2012年第11期2285-2296,共12页 中国科学:数学(英文版)
基金 supported by the Simons Foundation (Grant No. 209206) a General Research Fund of the University of Kansas
关键词 Stochastic quantization DIFFUSIONS Malliavan calculus ergodic theorem local time Clark-Oconeformula Girsanov formula Donsker delta functional heat kernel 概率密度函数 扩散过程 遍历定理 随机 量化 改造技术 融合率 微积分
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