Lower eigenvalue bounds with hybrid high-order methods

Abstract This paper proposes hybrid high-order eigensolvers for the computation of guaranteed lower eigenvalue bounds. These bounds display higher-order convergence rates and are accessible to adaptive mesh-refining algorithms. The involved constants arise from local embeddings and are available for all polynomial degrees. A wide range of applications is possible, including the linear elasticity and Steklov eigenvalue problems.