Large deviations of conservative stochastic partial differential equations
Ping Chen, Tusheng Zhang

TL;DR
This paper proves a large deviation principle for conservative stochastic partial differential equations, linking their solutions to stochastic differential equations with interaction, using weak convergence and contraction principles.
Contribution
It introduces a large deviation framework for conservative SPDEs, connecting them to stochastic differential equations with interaction, advancing theoretical understanding.
Findings
Established a large deviation principle for conservative SPDEs
Connected solutions of SPDEs to stochastic differential equations with interaction
Utilized weak convergence and contraction principles in the proof
Abstract
In this paper, we establish a large deviation principle for the conservative stochastic partial differential equations, whose solutions are related to stochastic differential equations with interaction. The weak convergence method and the contraction principle in the theory of large deviations play an important role.
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Mathematical Dynamics and Fractals
