A spectral characterization and an approximation scheme for the Hessian eigenvalue

Nam Q. Le

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arXiv · 2012.07670

A spectral characterization and an approximation scheme for the Hessian eigenvalue

Nam Q. Le

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Abstract

We revisit the $k$-Hessian eigenvalue problem on a smooth, bounded, $(k-1)$-convex domain in $\mathbb R^n$. First, we obtain a spectral characterization of the $k$-Hessian eigenvalue as the infimum of the first eigenvalues of linear second-order elliptic operators whose coefficients belong to the dual of the corresponding G\r{a}rding cone. Second, we introduce a non-degenerate inverse iterative scheme to solve the eigenvalue problem for the $k$-Hessian operator. We show that the scheme converges, with a rate, to the $k$-Hessian eigenvalue for all $k$. When $2\leq k\leq n$, we also prove a local $L^1$ convergence of the Hessian of solutions of the scheme. Hyperbolic polynomials play an important role in our analysis.

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Nam Q. Le. 2020-12-14. A spectral characterization and an approximation scheme for the Hessian eigenvalue. https://arxiv.org/abs/2012.07670

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