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On mild solutions of gradient systems in Hilbert spaces

Andrzej Rozkosz — 2013

Open Mathematics

We consider the Cauchy problem for an infinite-dimensional Ornstein-Uhlenbeck equation perturbed by gradient of a potential. We prove some results on existence and uniqueness of mild solutions of the problem. We also provide stochastic representation of mild solutions in terms of linear backward stochastic differential equations determined by the Ornstein-Uhlenbeck operator and the potential.

Nonlinear parabolic SPDEs involving Dirichlet operators

Tomasz KlimsiakAndrzej Rozkosz — 2015

Studia Mathematica

We study the problem of existence, uniqueness and regularity of probabilistic solutions of the Cauchy problem for nonlinear stochastic partial differential equations involving operators corresponding to regular (nonsymmetric) Dirichlet forms. In the proofs we combine the methods of backward doubly stochastic differential equations with those of probabilistic potential theory and Dirichlet forms.

Semilinear elliptic equations with measure data and quasi-regular Dirichlet forms

Tomasz KlimsiakAndrzej Rozkosz — 2016

Colloquium Mathematicae

We are mainly concerned with equations of the form -Lu = f(x,u) + μ, where L is an operator associated with a quasi-regular possibly nonsymmetric Dirichlet form, f satisfies the monotonicity condition and mild integrability conditions, and μ is a bounded smooth measure. We prove general results on existence, uniqueness and regularity of probabilistic solutions, which are expressed in terms of solutions to backward stochastic differential equations. Applications include equations with nonsymmetric...

On Backward Stochastic Differential Equations Approach to Valuation of American Options

Tomasz KlimsiakAndrzej Rozkosz — 2011

Bulletin of the Polish Academy of Sciences. Mathematics

We consider the problem of valuation of American (call and put) options written on a dividend paying stock governed by the geometric Brownian motion. We show that the value function has two different but related representations: by means of a solution of some nonlinear backward stochastic differential equation, and by a weak solution to some semilinear partial differential equation.

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