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Gauge Poisson representations for birth/death master equations

机译:出生/死亡主方程的规范泊松表示

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摘要

Poisson representation techniques provide a powerful method for mapping master equations for birth/death processes -- found in many fields of physics, chemistry and biology -- into more tractable stochastic differential equations. However, the usual expansion is not exact in the presence of boundary terms, which commonly occur when the differential equations are nonlinear. In this paper, a gauge Poisson technique is introduced that eliminates boundary terms, to give an exact representation as a weighted rate equation with stochastic terms. These methods provide novel techniques for calculating and understanding the effects of number correlations in systems that have a master equation description. As examples, correlations induced by strong mutations in genetics, and the astrophysical problem of molecule formation on microscopic grain surfaces are analyzed. Exact analytic results are obtained that can be compared with numerical simulations, demonstrating that stochastic gauge techniques can give exact results where standard Poisson expansions are not able to.
机译:泊松表示技术提供了一种强大的方法,可以将出生/死亡过程的主方程(在物理学,化学和生物学的许多领域中发现)映射为更易于处理的随机微分方程。但是,当存在边界项时,通常的扩展并不精确,边界项通常在微分方程为非线性时发生。在本文中,引入了一种规范的泊松技术,该技术消除了边界项,从而可以精确表示为带有随机项的加权利率方程。这些方法提供了新颖的技术来计算和理解具有主方程描述的系统中数字相关的影响。例如,分析了遗传学中的强突变引起的相关性,以及微观晶粒表面上分子形成的天体物理学问题。获得了可以与数值模拟进行比较的精确分析结果,证明了随机规技术可以提供标准泊松展开无法提供的准确结果。

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