2018
DOI: 10.1090/proc/14280
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Two approaches to minimax formula of the additive eigenvalue for quasiconvex Hamiltonians

Abstract: Two different proofs for an inf-sup type representation formula (minimax formula) of the additive eigenvalues corresponding to first-order Hamilton-Jacobi equations are given for quasiconvex (level-set convex) Hamiltonians not necessarily convex. The first proof, which is similar to known proofs for convex Hamiltonians, invokes a Jensen-like inequality for quasiconvex functions instead of the standard Jensen's inequality. The second proof is completely different with elementary calculations. It is based on con… Show more

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Cited by 2 publications
(2 citation statements)
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References 34 publications
(26 reference statements)
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“…Moreover, the inf-sup formula for H in [LS05] (with A ≡ 0) from the convex case remains valid. An extension of the formula from [CIPP98] to the quasiconvex case is given in [Nak19]. These representations manifest the preservation of quasiconvexity in the inviscid case.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the inf-sup formula for H in [LS05] (with A ≡ 0) from the convex case remains valid. An extension of the formula from [CIPP98] to the quasiconvex case is given in [Nak19]. These representations manifest the preservation of quasiconvexity in the inviscid case.…”
Section: Introductionmentioning
confidence: 99%
“…Since H 1 is quasiconvex and even, we use the inf-max representation formula for H 1 (see [4,16,36]) to get that…”
mentioning
confidence: 99%