We consider the limiting case alpha = infinity of the problem of minimizing integral(Omega) (\\del u(x)\\(alpha) + g(u))dx on u is an element of + u(0) + W-0(1, alpha) (Omega); where g is differentiable and strictly monotone. If this infimum is finite, it is evidently attained; we show that any minimizing function u satisfies the appropriate form of the Euler-Lagrange equation, i.e., for some function p, div p(x) = g'(u(x)) for p(x) is an element of partial derivative(jB)(del(x)); where j(B) is the indicator function of the closed unit ball in the Euclidean norm of R-N and partial derivative is the subdifferential of the convex function j(B)
Cellina, A., Perrotta, S. (1998). On the validity of the maximum principle and of the Euler-Lagrange equation for a minimum problem depending on the gradient. SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 36(6), 1987-1998 [10.1137/S0363012996311319].
On the validity of the maximum principle and of the Euler-Lagrange equation for a minimum problem depending on the gradient
Cellina, A;
1998
Abstract
We consider the limiting case alpha = infinity of the problem of minimizing integral(Omega) (\\del u(x)\\(alpha) + g(u))dx on u is an element of + u(0) + W-0(1, alpha) (Omega); where g is differentiable and strictly monotone. If this infimum is finite, it is evidently attained; we show that any minimizing function u satisfies the appropriate form of the Euler-Lagrange equation, i.e., for some function p, div p(x) = g'(u(x)) for p(x) is an element of partial derivative(jB)(del(x)); where j(B) is the indicator function of the closed unit ball in the Euclidean norm of R-N and partial derivative is the subdifferential of the convex function j(B)I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.