Uniqueness and characteristic flow for a non strictly convex singular variational problem - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2023

Uniqueness and characteristic flow for a non strictly convex singular variational problem

Résumé

This work addresses the question of uniqueness of the minimizers of a convex but not strictly convex integral functional with linear growth in a two-dimensional setting. The integrand -- whose precise form derives directly from the theory of perfect plasticity -- behaves quadratically close to the origin and grows linearly once a specific threshold is reached. Thus, in contrast with the only existing literature on uniqueness for functionals with linear growth, that is that which pertains to the generalized least gradient, the integrand is not a norm. We make use of hyperbolic conservation laws hidden in the structure of the problem to tackle uniqueness. Our argument strongly relies on the regularity of a vector field -- the Cauchy stress in the terminology of perfect plasticity -- which allows us to define characteristic lines, and then to employ the method of characteristics. Using the detailed structure of the characteristic landscape evidenced in our preliminary study \cite{BF}, we show that this vector field is actually continuous, save for possibly two points. The different behaviors of the energy density at zero and at infinity imply an inequality constraint on the Cauchy stress. Under a barrier type convexity assumption on the set where the inequality constraint is saturated, we show that uniqueness holds for pure Dirichlet boundary data, a stronger result than that of uniqueness for a given trace on the whole boundary since our minimizers can fail to attain the boundary data.
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Dates et versions

hal-04320962 , version 1 (04-12-2023)
hal-04320962 , version 2 (24-10-2024)

Identifiants

  • HAL Id : hal-04320962 , version 1

Citer

Jean-François Babadjian, Gilles A. Francfort. Uniqueness and characteristic flow for a non strictly convex singular variational problem. 2023. ⟨hal-04320962v1⟩
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