Revista Matemática Iberoamericana


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Volume 30, Issue 2, 2014, pp. 581–666
DOI: 10.4171/RMI/794

Published online: 2014-07-08

Stochastic variational formulas for solutions to linear diffusion equations

Joseph G. Conlon[1] and Mohar G. Guha[2]

(1) University of Michigan, Ann Arbor, USA
(2) University of Michigan, Ann Arbor, USA

This paper is concerned with solutions to a one-dimensional linear diffusion equation and their relation to some problems in stochastic control theory. A stochastic variational formula is obtained for the logarithm of the solution to the diffusion equation, with terminal data which is the characteristic function of a set. In this case the terminal data for the control problem is singular, and hence standard theory does not apply. The variational formula is used to prove convergence, in the zero noise limit, of the cost function for the stochastic control problem and its first derivatives, to the corresponding quantities for a classical control problem.

Keywords: Hamilton–Jacobi partial differential equation, stochastic control

Conlon Joseph, Guha Mohar: Stochastic variational formulas for solutions to linear diffusion equations. Rev. Mat. Iberoamericana 30 (2014), 581-666. doi: 10.4171/RMI/794