Math 2.0

Calculus of variations and optimal control; optimization Problem

Hilbert's twentieth problem

Builds on Calculus of variationsDirect method in the calculus of variationsBoundary value problem

Problem

Let Ω⊆ℝn\Omega \subseteq \R^n be a bounded open set. Consider a regular problem of the calculus of variations: minimise J(u)=∫ΩL(x,u,∇u) dxJ(u) = \int_\Omega L(x, u, \nabla u) \, dx with given values of uu on ∂Ω\partial\Omega. Here the Lagrangian LL is smooth and strictly convex in ∇u\nabla u. Hilbert asked whether every such problem has a solution. He allowed suitable assumptions on the boundary conditions and, if needed, a suitable extension of the notion of solution.

Remarks

The problem is a programme rather than a single statement, and its answer depends on how "suitable" is made precise. The modern answer is largely affirmative. The direct method gives minimisers in Sobolev spaces for Lagrangians that are convex in ∇u\nabla u and satisfy growth conditions, which is the "suitably extended" notion of solution. Regularity theory, which grew from Hilbert's nineteenth problem, then shows that these generalised solutions are classical in many cases. The same circle of ideas gives weak solutions of boundary value problems for linear and nonlinear elliptic equations.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Hilbert%27s_twentieth_problem
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Tag187NP5Z002
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AboutCalculus of variations
UsesCalculus of variations, Direct method in the calculus of variations, Boundary value problem
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