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Interior point solutions of variational problems and global inverse function theorems
Author(s) -
Byrnes Christopher I.,
Lindquist Anders
Publication year - 2006
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.1138
Subject(s) - mathematics , uniqueness , hadamard transform , matrix (chemical analysis) , function (biology) , mathematical analysis , nonlinear system , generalization , interior point method , mathematical optimization , materials science , physics , quantum mechanics , evolutionary biology , composite material , biology
Variational problems and the solvability of certain nonlinear equations have a long and rich history beginning with calculus and extending through the calculus of variations. In this paper, we are interested in ‘well‐connected’ pairs of such problems which are not necessarily related by critical point considerations. We also study constrained problems of the kind which arise in mathematical programming. We are also interested in interior minimizing points for the variational problem and in the well‐posedness (in the sense of Hadamard) of solvability of the related systems of equations. We first prove a general result which implies the existence of interior points and which also leads to the development of certain generalization of the Hadamard‐type global inverse function theorem, along the theme that uniqueness quite often implies existence. This result is illustrated by proving the non‐existence of shock waves for certain initial data for the vector Burgers' equation. The global inverse function theorem is also illustrated by a derivation of the existence of positive definite solutions of matrix Riccati equations without first analysing the nonlinear matrix Riccati differential equation. The main results on the existence of solutions to geometrically constrained well‐connected pairs are then presented and illustrated by a geometric analysis of the existence of interior points for linear programming problems. Copyright © 2006 John Wiley & Sons, Ltd.