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The authors consider the following nonlinear stochastic elliptic equation with Dirichlet boundary condition on a bounded domain \(D\) of \(\mathbb{R}^ k\), \(k = 1,2,3\), \[ \begin{cases} -\Delta u(x) + f \bigl( x,u(x) \bigr) = \dot w(x) + \eta,\\ u |_{\delta D} = 0, \end{cases} \tag{1} \] where \(\{\dot w(x), x \in D\}\) is a white noise on \(D\) and \(f\) a measurable function from \(D \times \mathbb{R}\) into \(\mathbb{R}\). A solution of (1) is a pair \((u, \eta)\) such that \(u = (u(x), x \in \overline D)\) is a nonnegative, continuous process on \(\overline D\) and \(\eta (dx)\) is a random measure on \(D\) satisfying \(\int_ D ud \eta = 0\). This condition forces the process \(u\) to be nonnegative. It is proved that if \(f\) is locally bounded, continuous and nondecreasing as a function of the second variable, then there exists a unique solution \((u, \eta)\) of equation (1). After transforming this problem into a deterministic one, the authors construct a solution by means of the penalization method. The uniqueness is obtained by a classical method in elliptic variational inequalities.
Statistics and Probability, stochastic partial differential equations, Applied Mathematics, penalization method, Stochastic partial differential equations, Superharmonic functions, Variational inequalities, Stochastic partial differential equations (aspects of stochastic analysis), Modelling and Simulation, super-harmonic functions, Optimal stochastic control, variational inequalities
Statistics and Probability, stochastic partial differential equations, Applied Mathematics, penalization method, Stochastic partial differential equations, Superharmonic functions, Variational inequalities, Stochastic partial differential equations (aspects of stochastic analysis), Modelling and Simulation, super-harmonic functions, Optimal stochastic control, variational inequalities
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