We consider the following classical autonomous variational problem: minimize {F(v)=\int_a^b f(v(x),v′(x)) dx : v ∈ AC([a,b]), v(a) = α, v(b) = β}, where the Lagrangian f is possibly neither continuous, nor convex, nor coercive. We prove a monotonicity property of the minimizers stating that they satisfy the maximum principle or the minimum one. By virtue of such a property, applying recent results concerning constrained variational problems, we derive a relaxation theorem, the DuBois-Reymond necessary condition and some existence or non-existence criteria.

### Monotonicity properties of minimizers and relaxation for autonomous variational problems

#### Abstract

We consider the following classical autonomous variational problem: minimize {F(v)=\int_a^b f(v(x),v′(x)) dx : v ∈ AC([a,b]), v(a) = α, v(b) = β}, where the Lagrangian f is possibly neither continuous, nor convex, nor coercive. We prove a monotonicity property of the minimizers stating that they satisfy the maximum principle or the minimum one. By virtue of such a property, applying recent results concerning constrained variational problems, we derive a relaxation theorem, the DuBois-Reymond necessary condition and some existence or non-existence criteria.
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2011
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/29770
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