Derives Clarke subdifferential and first-variation formula for the kth eigenvalue on self-adjoint operators (valid at essential spectrum edge) and applies it to characterize optimal weights in weighted Laplace/Steklov problems.
Eigenvalue optimization in higher dimensions and p-harmonic maps
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math.SP 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Sharp upper bounds are obtained for the first two nonzero Steklov eigenvalues in dimensions d >= 7 under volume-boundary normalization, derived from optimal weighted Neumann characterizations, plus strict bounds for higher eigenvalues on planar simply connected domains.
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Eigenvalue optimization via a first-variation formula
Derives Clarke subdifferential and first-variation formula for the kth eigenvalue on self-adjoint operators (valid at essential spectrum edge) and applies it to characterize optimal weights in weighted Laplace/Steklov problems.
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Geometric bounds for Steklov and weighted Neumann eigenvalues on Euclidean domains
Sharp upper bounds are obtained for the first two nonzero Steklov eigenvalues in dimensions d >= 7 under volume-boundary normalization, derived from optimal weighted Neumann characterizations, plus strict bounds for higher eigenvalues on planar simply connected domains.