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Is there any standard approach to solve the following kind of variational problem?

Maximize F=\int_0 ^1 L(x,y,y')dx subject to the constraint |\int_0 ^1 M(x,y,y')dx| \lt k where $y$ is the function of $x$ to be solved for.

I can think immediately of maximizing $\int_0 ^1 Ldx + \lambda(\int_0^1 Mdx-k)^2 $ but don't know whether that will yield the right solution. I can't seem to find this kind of problem solved in the usual references, e.g. Bruce Van Brunt's Calculus of Variations.

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    Also you can use2017-01-12

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