The Burgers-type equation driven by a stochastic measure

IF 0.4 Q4 STATISTICS & PROBABILITY Theory of Probability and Mathematical Statistics Pub Date : 2024-05-10 DOI:10.1090/tpms/1213
Vadym Radchenko
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Abstract

We study the one-dimensional equation driven by a stochastic measure μ \mu . For μ \mu we assume only σ \sigma -additivity in probability. Our results imply the global existence and uniqueness of the solution to the heat equation and the local existence and uniqueness of the solution to the Burgers equation. The averaging principle for such equation is studied.
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由随机测量驱动的布尔格斯型方程
我们研究由随机度量 μ \mu 驱动的一元方程。对于 μ \mu,我们只假设概率的 σ σ -加性。我们的结果意味着热方程解的全局存在性和唯一性,以及布尔格斯方程解的局部存在性和唯一性。研究了此类方程的平均原理。
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
22
期刊最新文献
Bounded in the mean and stationary solutions of second-order difference equations with operator coefficients Characterization of the least squares estimator: Mis-specified multivariate isotonic regression model with dependent errors Full inference for the anisotropic fractional Brownian field The Burgers-type equation driven by a stochastic measure Temporal properties of the stochastic fractional heat equation with spatially-colored noise
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