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arXiv 1603.07192math.AP
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计算神经科学中一类非梯度Fokker-Planck方程的指数收敛速度

On the exponential convergence rate for a non-gradient Fokker-Planck equation in Computational Neuroscience

J-A Carrillo, Simona Mancini, M. -B Tran

摘要:

本文证明了具有非势函数梯度项的Fokker-Planck方程在Robin型边界条件下解的指数收敛速率。例如,在研究相互作用的神经元群体时,就会出现这种问题。以往的研究数值表明,经过一小段时间后,演化问题的解指数收敛到方程的稳定状态。

英文摘要:

This paper concerns the proof of the exponential rate of convergence of the solution of a Fokker-Planck equation, with a drift term not being the gradient of a potential function and endowed by Robin type boundary conditions. This kind of problem arises, for example, in the study of interacting neurons populations. Previous studies have numerically shown that, after a small period of time, the solution of the evolution problem exponentially converges to the stable state of the equation.

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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