Semicontinuous evolution systems of enlarged measures for superlinear stochastic porous media lattice equations

For a stochastic nonautonomous porous media lattice equation driven by superlinear noise, we investigate its evolution systems of (enlarged) probability measures on the Banach [Formula: see text]-space for [Formula: see text] rather than the usual Hilbert [Formula: see text]-space, where the former space contains the latter. We prove the existence of an evolution system of enlarged measures. We then establish the upper semicontinuity of the section set of all evolution systems of enlarged measures at current time with respect to the noise intensity. Ito’s formulas for higher power functions play key roles in proving the pullback asymptotic property of enlarged solutions and the pullback asymptotic tightness of enlarged distribution laws.

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Publication Details

Journal
Stochastics and Dynamics
Published
2025-06-27
DOI
https://doi.org/10.1142/s0219493725400027
Citations
1
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
1.50

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article

Semicontinuous evolution systems of enlarged measures for superlinear stochastic porous media lattice equations

Xiaowen Tang, Yangrong Li, Shulin Wang
1 citations
Stochastics and Dynamics
Advanced Mathematical Modeling in Engineering
1.50
article

Semicontinuous evolution systems of enlarged measures for superlinear stochastic porous media lattice equations

Xiaowen Tang, Yangrong Li, Shulin Wang
article en
1 citations

Abstract

For a stochastic nonautonomous porous media lattice equation driven by superlinear noise, we investigate its evolution systems of (enlarged) probability measures on the Banach [Formula: see text]-space for [Formula: see text] rather than the usual Hilbert [Formula: see text]-space, where the former space contains the latter. We prove the existence of an evolution system of enlarged measures. We then establish the upper semicontinuity of the section set of all evolution systems of enlarged measures at current time with respect to the noise intensity. Ito’s formulas for higher power functions play key roles in proving the pullback asymptotic property of enlarged solutions and the pullback asymptotic tightness of enlarged distribution laws.

Stochastics and Dynamics
Southwest University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Advanced Mathematical Modeling in Engineering
1.50
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