Improvement of eigenfunction estimates on manifolds of nonpositive curvature

TL;DR

This paper extends logarithmic improvements in eigenfunction estimates on certain nonpositively curved manifolds, enhancing understanding of spectral cluster behavior in geometric analysis.

Contribution

It generalizes previous $L^{ ext{infinity}}$ eigenfunction bounds to $L^p$ bounds for a broader class of manifolds with nonpositive curvature.

Findings

Logarithmic improvement for $L^p$ eigenfunction estimates

Extension of Bérard's results to all $p > rac{2(n+1)}{n-1}$

Enhanced spectral cluster bounds on manifolds with nonpositive curvature

Abstract

Let $(M,g)$ be a compact, boundaryless manifold of dimension $n$ with the property that either (i) $n=2$ and $(M,g)$ has no conjugate points, or (ii) the sectional curvatures of $(M,g)$ are nonpositive. Let $\Delta$ be the positive Laplacian on $M$ determined by $g$. We study the $L^{2}\to{}L^{p}$ mapping properties of a spectral cluster of $\sqrt{\Delta}$ of width $1/\log\lambda$. Under the geometric assumptions above, \cite{berard77} B\'{e}rard obtained a logarithmic improvement for the remainder term of the eigenvalue counting function which directly leads to a $(\log\lambda)^{1/2}$ improvement for H\"ormander's estimate on the $L^{\infty}$ norms of eigenfunctions. In this paper we extend this improvement to the $L^p$ estimates for all $p>\frac{2(n+1)}{n-1}$.