Positive eigenvectors and simple nonlinear maps
Journal of Functional Analysis, ISSN: 0022-1236, Vol: 280, Issue: 7, Page: 108823
2021
- 3Citations
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations3
- Citation Indexes3
Article Description
For linear operators L,T and nonlinear maps P, we describe classes of simple maps F=I−PT, F=L−P between Banach and Hilbert spaces, for which no point has more than two preimages. The classes encompass known examples (homeomorphisms, global folds) and the weaker, geometric, hypotheses suggest new ones. The operator L may be the Laplacian with various boundary conditions, as in the original Ambrosetti-Prodi theorem, or the operators associated with the quantum harmonic oscillator, the hydrogen atom, a spectral fractional Laplacian, elliptic operators in non-divergent form. The maps P include the Nemitskii map P(u)=f(u) but may be non-local, even non-variational. For self-adjoint operators L, we employ familiar results on the nondegeneracy of the ground state. On Banach spaces, we use a variation of the Krein-Rutman theorem.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0022123620303669; http://dx.doi.org/10.1016/j.jfa.2020.108823; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85095856206&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0022123620303669; https://api.elsevier.com/content/article/PII:S0022123620303669?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:S0022123620303669?httpAccept=text/plain; https://dul.usage.elsevier.com/doi/; https://dx.doi.org/10.1016/j.jfa.2020.108823
Elsevier BV
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