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arXiv 0912.0301cond-mat.stat-mech
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乘性随机过程的泛函积分方法

Functional integral approach for multiplicative stochastic processes

Zochil González Arenas, Daniel G. Barci

摘要:

提出了一种泛函形式,导出了由朗之万方程表示的乘性随机过程的关联函数的生成泛函。我们推导出一组费米子和玻色子变量的路径积分,而不进行任何时间离散。定义维纳积分的通常处方出现在我们的形式主义中的格林函数的定义在格拉斯曼部门的理论。我们还研究了BRS对称性和超对称性对关联函数的非微扰约束。我们表明,具体的处方来定义随机过程是完全包含在蝌蚪图。因此,在超对称理论中,随机过程是唯一定义的,因为蝌蚪的贡献在扰动理论的所有阶次上都是抵消的。

英文摘要:

We present a functional formalism to derive a generating functional for correlation functions of a multiplicative stochastic process represented by a Langevin equation. We deduce a path integral over a set of fermionic and bosonic variables without performing any time discretization. The usual prescriptions to define the Wiener integral appear in our formalism in the definition of Green functions in the Grassman sector of the theory. We also study non-perturbative constraints imposed by BRS symmetry and supersymmetry on correlation functions. We show that the specific prescription to define the stochastic process is wholly contained in tadpole diagrams. Therefore, in a supersymmetric theory the stochastic process is uniquely defined since tadpole contributions cancels at all order of perturbation theory.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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