
The main result reads as follows. Let \(R \leq \infty\) and \(F_{R}^{\epsilon}\) and \(F_{R}\) be the energy functionals defined in \(L^2(\Omega_R, d \mu^\epsilon)\) and \(L^2(\Omega_R, d \mu^\prime)\), respectively. It follows that \(F_{R}^{\epsilon}\) and \(F_{R}\) are local and regular Dirichlet forms. Assume \(R 0, \] and the associated spectral measures \(E^\epsilon\) and \(E\) satisfy \[ E^{\epsilon}((\lambda,\eta]) \rightarrow E((\lambda,\eta])\text{ as }\epsilon \to 0 \] for every \(\lambda 0\) and \(\epsilon(m) > 0\) be sequences tending to 0 as \(m \rightarrow \infty\) and let \(u_m \in L^2(\Omega_R, d \mu^{\epsilon(m)})\) satisfy: \[ F_R^{\epsilon(m)}[u_m] 0}\) associated to \(F^\epsilon\) is tight. Furthermore, if \(0\leq \beta, \gamma, \nu \leq 1\) and \(\alpha\geq 2 \max \{\beta, \gamma\}\), then \(\{{\mathbb P}^\epsilon\}\) weakly converges to the Wiener measure \({\mathbb P}\) associated to \(F\). In particular, \(F^\epsilon\) converges to \(F\) in both Mosco and \(\Gamma\) senses.
Dirichlet forms, Mosco-convergence, Weighted elliptic operators, Applied Mathematics, Wiener measures, energy functional, Mosco convergence, Continuity and singularity of induced measures, domain with highly conductive thin boundary, Set functions and measures and integrals in infinite-dimensional spaces (Wiener measure, Gaussian measure, etc.), stochastic processes, Convergence of probability measures, Singular perturbation, Analysis, Singular homogenization, Tightness
Dirichlet forms, Mosco-convergence, Weighted elliptic operators, Applied Mathematics, Wiener measures, energy functional, Mosco convergence, Continuity and singularity of induced measures, domain with highly conductive thin boundary, Set functions and measures and integrals in infinite-dimensional spaces (Wiener measure, Gaussian measure, etc.), stochastic processes, Convergence of probability measures, Singular perturbation, Analysis, Singular homogenization, Tightness
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