Necessary Conditions for Optimal Control of SPDE with locally monotone coefficients
Edson Alberto Coayla-Teran

TL;DR
This paper establishes necessary optimality conditions for controlling SPDEs with locally monotone coefficients using a maximum principle derived through backward stochastic PDEs.
Contribution
It introduces a maximum principle for SPDE control problems with locally monotone coefficients, expanding the theoretical framework for stochastic optimal control.
Findings
Derived a maximum principle for SPDEs with locally monotone coefficients
Established necessary conditions for optimal control in this setting
Utilized adjoint backward SPDEs to obtain the results
Abstract
The aim of this paper is to derive a maximum principle for a control problem governed by a stochastic partial differential equation (SPDE) with locally monotone coefficients. In particular, necessary conditions for optimality for this stochastic optimal control problem are obtained by using the adjoint backward stochastic partial differential equation (BSPDE).
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Taxonomy
TopicsStochastic processes and financial applications · Insurance, Mortality, Demography, Risk Management · Financial Risk and Volatility Modeling
