Stationary measures for stochastic differential equations with degenerate damping

IF 1.5 1区 数学 Q2 STATISTICS & PROBABILITY Probability Theory and Related Fields Pub Date : 2024-03-12 DOI:10.1007/s00440-024-01265-5
Jacob Bedrossian, Kyle Liss
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Abstract

A variety of physical phenomena involve the nonlinear transfer of energy from weakly damped modes subjected to external forcing to other modes which are more heavily damped. In this work we explore this in (finite-dimensional) stochastic differential equations in \({\mathbb {R}}^n\) with a quadratic, conservative nonlinearity B(xx) and a linear damping term—Ax which is degenerate in the sense that \(\textrm{ker} A \ne \emptyset \). We investigate sufficient conditions to deduce the existence of a stationary measure for the associated Markov semigroups. Existence of such measures is straightforward if A is full rank, but otherwise, energy could potentially accumulate in \(\textrm{ker} A\) and lead to almost-surely unbounded trajectories, making the existence of stationary measures impossible. We give a relatively simple and general sufficient condition based on time-averaged coercivity estimates along trajectories in neighborhoods of \(\textrm{ker} A\) and many examples where such estimates can be made.

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具有退化阻尼的随机微分方程的稳态量纲
各种物理现象都涉及到能量从受外力作用的弱阻尼模态向其他重阻尼模态的非线性转移。在这项工作中,我们将在 \({\mathbb {R}}^n\) 中的(有限维)随机微分方程中探讨这一点,该方程具有二次保守非线性 B(x, x) 和线性阻尼项-Ax,后者在 \(\textrm{ker} A \ne \emptyset \) 的意义上是退化的。我们研究了推导相关马尔可夫半群的静态量存在的充分条件。如果 A 是满级的,那么这种量度的存在是直接的,但如果不是这样,能量可能会在\(\textrm{ker} A\) 中积累,并导致几乎可以肯定的无界轨迹,从而使静止量度的存在成为不可能。我们给出了一个相对简单和一般的充分条件,它基于沿轨迹在 \(\textrm{ker} A\) 邻域中的时间平均矫顽力估计值,并给出了许多可以做出这种估计值的例子。
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来源期刊
Probability Theory and Related Fields
Probability Theory and Related Fields 数学-统计学与概率论
CiteScore
3.70
自引率
5.00%
发文量
71
审稿时长
6-12 weeks
期刊介绍: Probability Theory and Related Fields publishes research papers in modern probability theory and its various fields of application. Thus, subjects of interest include: mathematical statistical physics, mathematical statistics, mathematical biology, theoretical computer science, and applications of probability theory to other areas of mathematics such as combinatorics, analysis, ergodic theory and geometry. Survey papers on emerging areas of importance may be considered for publication. The main languages of publication are English, French and German.
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