Abstract
Accretive and monotone operator theory are central branches of nonlinear functional analysis and constitute the abstract study of certain set-valued mappings between function spaces. This paper deals with the computational properties of these accretive and (generalized) monotone set-valued operators. In particular, we develop (and extend) for this field the theoretical framework of proof mining, a program in mathematical logic that seeks to extract computational information from prima facie "non-computational"proofs from the mainstream literature. To this end, we establish logical metatheorems that guarantee and quantify the computational content of theorems pertaining to accretive and (generalized) monotone set-valued operators. On the one hand, our results unify a number of recent case studies, while they also provide characterizations of central analytical notions in terms of proof theoretic ones on the other, which provides a crucial perspective on needed quantitative assumptions in future applications of proof mining to these branches.
| Original language | English |
|---|---|
| Article number | 2350008 |
| Number of pages | 59 |
| Journal | Journal of Mathematical Logic |
| Volume | 24 |
| Issue number | 2 |
| Early online date | 22 May 2023 |
| DOIs | |
| Publication status | Published - 22 May 2023 |
Keywords
- (generalized) monotone operators
- accretive operators
- metatheorems
- Proof mining
ASJC Scopus subject areas
- Logic
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