The magnitude of the minimal displacement vector for compositions and convex combinations of firmly nonexpansive mappings

Autor: Walaa M. Moursi, Heinz H. Bauschke
Rok vydání: 2018
Předmět:
Zdroj: Optimization Letters. 12:1465-1474
ISSN: 1862-4480
1862-4472
Popis: Maximally monotone operators and firmly nonexpansive mappings play key roles in modern optimization and nonlinear analysis. Five years ago, it was shown that if finitely many firmly nonexpansive operators are all asymptotically regular (i.e., they have or “almost have” fixed points), then the same is true for compositions and convex combinations. In this paper, we derive bounds on the magnitude of the minimal displacement vectors of compositions and of convex combinations in terms of the displacement vectors of the underlying operators. Our results completely generalize earlier works. Moreover, we present various examples illustrating that our bounds are sharp.
Databáze: OpenAIRE