Uniqueness Theorems For Variational Problems By The Method Of Transformation Groups


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Uniqueness Theorems for Variational Problems by the Method of Transformation Groups


Uniqueness Theorems for Variational Problems by the Method of Transformation Groups

Author: Wolfgang Reichel

language: en

Publisher: Springer

Release Date: 2004-04-30


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A classical problem in the calculus of variations is the investigation of critical points of functionals {\cal L} on normed spaces V. The present work addresses the question: Under what conditions on the functional {\cal L} and the underlying space V does {\cal L} have at most one critical point? A sufficient condition for uniqueness is given: the presence of a "variational sub-symmetry", i.e., a one-parameter group G of transformations of V, which strictly reduces the values of {\cal L}. The "method of transformation groups" is applied to second-order elliptic boundary value problems on Riemannian manifolds. Further applications include problems of geometric analysis and elasticity.

Uniqueness Theorems for Variational Problems by the Method of Transformation Groups


Uniqueness Theorems for Variational Problems by the Method of Transformation Groups

Author: Wolfgang Reichel

language: en

Publisher: Springer

Release Date: 2014-03-12


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A classical problem in the calculus of variations is the investigation of critical points of functionals {\cal L} on normed spaces V. The present work addresses the question: Under what conditions on the functional {\cal L} and the underlying space V does {\cal L} have at most one critical point? A sufficient condition for uniqueness is given: the presence of a "variational sub-symmetry", i.e., a one-parameter group G of transformations of V, which strictly reduces the values of {\cal L}. The "method of transformation groups" is applied to second-order elliptic boundary value problems on Riemannian manifolds. Further applications include problems of geometric analysis and elasticity.

Statistical learning theory and stochastic optimization


Statistical learning theory and stochastic optimization

Author: Olivier Catoni

language: en

Publisher: Springer Science & Business Media

Release Date: 2004


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