Maximal monotonicity for the precomposition with a linear operator

Radu Ioan Boţ, Sorin Mihai Grad, Gert Wanka

Research output: Contribution to journalArticlepeer-review

Abstract

We give the weakest constraint qualification known to us that ensures the maximal monotonicity of the operator A* o T o A when A is a linear continuous mapping between two reflexive Banach spaces and T is a maximal monotone operator. As a special case we get the weakest constraint qualification that guarantees the maximal monotonicity of the sum of two maximal monotone operators on a reflexive Banach space. Then we give a weak constraint qualification assuring the Brézis-Haraux-type approximation of the range of the subdifferential of the precomposition to A of a proper convex lower semicontinuous function in nonreflexive Banach spaces, extending and correcting in a special case an older result due to Riahi.

Original languageEnglish
Pages (from-to)1239-1252
Number of pages14
JournalSIAM Journal on Optimization
Volume17
Issue number4
DOIs
Publication statusPublished - 1 Dec 2006
Externally publishedYes

Keywords

  • Brézis-Haraux-type approximation
  • Fitzpatrick function
  • Maximal monotone operator
  • Subdifferential

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