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We consider the integral functional
, , where , , is a nonempty bounded connected open subset of with smooth boundary, and is a convex, differentiable function. We prove that if admits a minimizer in depending only on the distance from the boundary of , then must be a ball.
We consider minimization problems of the form where is a bounded convex open set, and the Borel function is assumed to be neither convex nor coercive. Under suitable assumptions involving the geometry of and the zero level set of , we prove that the viscosity solution of a related Hamilton–Jacobi equation provides a minimizer for the integral functional.
Let be a continuous multifunction with compact, not necessarily convex values. In this paper, we prove that, if F satisfies the following Lipschitz Selection Property:
(LSP) For every t,x, every y ∈ c̅o̅F(t,x) and ε > 0, there exists a Lipschitz selection ϕ of c̅o̅F, defined on a neighborhood of (t,x), with |ϕ(t,x)-y| < ε,
then there exists a measurable selection f of ext F such that, for every x₀, the Cauchy problem
ẋ(t) = f(t,x(t)), x(0) = x₀,
has a unique Carathéodory solution, depending...
We consider minimization problems of the form
where is a bounded convex open set, and the
Borel function is assumed to be
neither convex nor coercive. Under suitable assumptions involving
the geometry of and the zero level set of , we prove
that the viscosity solution of a related Hamilton–Jacobi equation
provides a minimizer for the integral functional.
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