Approximation Theorem for Principal Eigenvalue of Discrete $\pmb p$-Laplacian
Yue-Shuang Li

TL;DR
This paper proves convergence of an approximation method and inverse iteration for the principal eigenvalue of discrete weighted p-Laplacian on nonnegative integers, with demonstrations through examples.
Contribution
It introduces a convergence proof for an approximation procedure and inverse iteration for the principal eigenvalue of discrete weighted p-Laplacian, including monotonicity analysis.
Findings
Convergence of approximation procedure established.
Inverse iteration method shown to converge.
Examples illustrate theoretical results.
Abstract
For the principal eigenvalue of discrete weighted -Laplacian on the set of nonnegative integers, the convergence of an approximation procedure and the inverse iteration is proved. Meanwhile, in the proof of the convergence, the monotonicity of an approximation sequence is also checked. To illustrate these results, some examples are presented.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Matrix Theory and Algorithms · Spectral Theory in Mathematical Physics
