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Lagrange multipliers on Banach spaces
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(Theorem)
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Let $U$ be open in a real Banach space $X$ , and $Y$ be another real Banach space. Let $f\colon U \to \real$ and $g\colon U \to Y$ be continuously differentiable functions.
Suppose that $a$ is a minimum or maximum point of $f$ on $M = \{ x \in U : g(x) = 0 \}$ , and the Fréchet derivative $\D g(a)\colon X \to Y$ is surjective. Then there exists a Lagrange multiplier vector $\lambda \in Y^*$ such that$$ \D f(a) = \D g(a)^* \lambda = \lambda \circ \D g(a)\,.$$ (The function $\D g(a)^*\colon Y^* \to X^*$ denotes the pullback or adjoint by $\D g(a)$ on the continuous duals, defined by the second equality.)
If $X$ and $Y$ are finite-dimensional, writing out the above equation in matrix form shows that $\lambda$ really is the usual Lagrange multiplier vector. The condition that $\D g(a)$ is surjective means that $\D g(a)$ must have full rank as a matrix.
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- Eberhard Zeidler. Applied functional analysis: main principles and their applications. Springer-Verlag, 1995.
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"Lagrange multipliers on Banach spaces" is owned by stevecheng.
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Cross-references: rank, matrix, equation, finite-dimensional, equality, continuous duals, adjoint, pullback, vector, surjective, Fréchet derivative, point, functions, continuously differentiable, Banach space, real, open
This is version 2 of Lagrange multipliers on Banach spaces, born on 2005-08-16, modified 2005-08-17.
Object id is 7329, canonical name is LagrangeMultipliersInBanachSpaces.
Accessed 2676 times total.
Classification:
| AMS MSC: | 49K35 (Calculus of variations and optimal control; optimization :: Necessary conditions and sufficient conditions for optimality :: Minimax problems) | | | 49-00 (Calculus of variations and optimal control; optimization :: General reference works ) |
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Pending Errata and Addenda
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