Sampling solutions of Schr\"odinger equations on combinatorial graphs
classification
🧮 math.SP
keywords
omegacombinatorialgraphinftyschrsolutionsbipartitecase
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We consider functions on a graph $G$ whose evolution in time $-\infty<t<\infty$ is governed by a Schr\"{o}dinger type equation with a combinatorial Laplace operator on the right side. For a given subset $S$ of vertices of $G$ we compute a cut-off frequency $\omega>0$ such that solutions to a Cauchy problem with initial data in $PW_{\omega}(G)$ are completely determined by their samples on $S\times \{k\pi/\omega\},$ where $k\in \mathbf{N}$. It is shown that in the case of a bipartite graph our results are sharp.
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