Local Estimates for Minimizers of Some Convex Integral Functional of the Gradient and the Strong Maximum Principle

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Springer

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We consider a class of convex integral functionals with lagrangeans depending only on the gradient and satisfying a generalized symmetry assumption, which includes as a particular case the rotational symmetry. Adapting the method by A. Cellina we obtain a kind of local estimates for minimizers in the respective variational problems, which is applied then to deduce some versions of the Strong Maximum Principle in the variational setting.

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Set-Valued and Variational Analysis Volume 19, Number 2, 179-202, 2011

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