Work

Deconvolution on graphs via linear programming

Year: 2023
Type: preprint
Abstract: The main challenge addressed in this paper is to identify individual terms in a superposition of heat kernels on a graph. We establish geometric conditions on the vertices at which these heat kernels are centered and find bounds on the time parameter governing the evolution under the heat semigroup that guarantee a successful recovery. This result can be viewed as a type of deconvolution on a graph. A first main result addresses the setting of a common time parameter for all the heat kernels. We also treat a more general setting when the time parameter depends on the location at which the heat kernel is centered.
Authors: Bodmann, Bernhard G., May, Jennifer J.
Language: English
Open Access status: green
OpenAlex ID: W4372273133
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