Although for a number of semilinear stochastic wave equations existence anduniqueness results for corresponding solution processes are known from theliterature, these solution processes are typically not explicitly known andnumerical approximation methods are needed in order for mathematical modellingwith stochastic wave equations to become relevant for real world applications.This, in turn, requires the numerical analysis of convergence rates for suchnumerical approximation processes. A recent article by the authors proves upperbounds for weak errors for spatial spectral Galerkin approximations of a classof semilinear stochastic wave equations. The findings there are complemented bythe main result of this work, that provides lower bounds for weak errors whichshow that in the general framework considered the established upper bounds canessentially not be improved.
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