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Simplified approach for calculating moments of action for linear reaction-diffusion equations

机译:线性反应扩散方程的作用力矩的简化计算方法

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摘要

The mean action time is the mean of a probability density function that can be interpreted as a critical time,nwhich is a finite estimate of the time taken for the transient solution of a reaction-diffusion equation to effectivelynreach steady state. For high-variance distributions, the mean action time underapproximates the critical timensince it neglects to account for the spread about the mean. We can improve our estimate of the critical time byncalculating the higher moments of the probability density function, called the moments of action, which providenadditional information regarding the spread about the mean. Existing methods for calculating the nth moment ofnaction require the solution of n nonhomogeneous boundary value problems which can be difficult and tediousnto solve exactly. Here we present a simplified approach using Laplace transforms which allows us to calculatenthe nth moment of action without solving this family of boundary value problems and also without solving fornthe transient solution of the underlying reaction-diffusion problem.We demonstrate the generality of our methodnby calculating exact expressions for the moments of action for three problems from the biophysics literature.nWhile the first problem we consider can be solved using existing methods, the second problem, which is readilynsolved using our approach, is intractable using previous techniques. The third problem illustrates how the Laplacentransform approach can be used to study coupled linear reaction-diffusion equations.
机译:平均作用时间是概率密度函数的平均值,可以将其解释为临界时间,n是对反应扩散方程的瞬态解有效达到稳态所花费的时间的有限估计。对于高方差分布,由于平均作用时间忽略了考虑平均分布的差异,因此平均作用时间不足于临界时间。我们可以通过计算概率密度函数的较高矩(称为作用矩)来改善对临界时间的估计,该矩可以提供有关均值分布的其他信息。现有的计算第n个动量矩的方法需要解决n个非齐次的边值问题,这可能很难并且难以准确地解决。在这里,我们提出了一种使用拉普拉斯变换的简化方法,该方法允许我们在不解决这一系列边值问题且无需解决潜在的反应扩散问题的瞬态解的情况下计算第n个矩,通过精确计算来证明方法的通用性。生物物理学文献中三个问题的作用时刻的表达式。n虽然我们考虑的第一个问题可以使用现有方法解决,但是使用我们的方法很容易解决的第二个问题却很难用以前的技术解决。第三个问题说明了如何使用Laplacentransform方法研究耦合的线性反应扩散方程。

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  • 来源
    《PHYSICAL REVIEW E》 |2013年第5期|1-5|共5页
  • 作者单位

    School of Mathematical Sciences Queensland University of Technology Brisbane Australia;

    School of Mathematical Sciences Queensland University of Technology Brisbane AustraliaTissue Repair and Regeneration Program Institute of Health and Biomedical Innovation Queensland University of TechnologyBrisbane Australia;

    School of Mathematical Sciences Queensland University of Technology Brisbane Australia;

    Centre for Mathematical Biology Mathematical Institute University of Oxford Radcliffe Observatory QuarterWoodstock Road Oxford United Kingdom;

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