Lower bound estimates for eigenvalues of the Laplacian

TL;DR

This paper investigates lower bounds for Laplacian eigenvalues on n-dimensional polytopes, extending previous 2D results to higher dimensions and deriving the second term in the asymptotic eigenvalue formula.

Contribution

It generalizes the second-term asymptotic estimate for Laplacian eigenvalues from 2D to arbitrary n-dimensional polytopes.

Findings

Derived the second term in the asymptotic formula for eigenvalues in n-dimensions.

Extended previous 2D results to higher dimensions.

Provided new lower bounds for eigenvalues of the Laplacian.

Abstract

For an $n$-dimensional polytope $\Omega$ in $\mathbb{R}^{n}$, we study lower bounds for eigenvalues of the Dirichlet eigenvalue problem of the Laplacian. In the asymptotic formula on the average of the first $k$ eigenvalues, Li and Yau (1983) obtained the first term with the order $k^{\frac2n}$, which is optimal. The next landmark goal is to give the second term with the order $k^{\frac1n}$ in the asymptotic formula. For this purpose, Kova\v{r}\'{\i}k, Vugalter and Weidl (2009) have made an important breakthrough in the case of dimension 2. It is our purpose to study the $n$-dimensional case for arbitrary dimension $n$. We obtain the second term in the asymptotic sense.