Generalized contraction mapping principle and generalized best proximity point theorems in probabilistic metric spaces
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Publication:285869
DOI10.1186/s13663-015-0323-4zbMath1347.54109OpenAlexW2116911902WikidataQ59435164 ScholiaQ59435164MaRDI QIDQ285869
Yongfu Su, Jen-Chih Yao, Wen-Biao Gao
Publication date: 19 May 2016
Published in: Fixed Point Theory and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13663-015-0323-4
contractionfixed pointbest proximity pointprobabilistic metric spacesmathematical expectation\(b\)-metric spaces
Fixed-point and coincidence theorems (topological aspects) (54H25) Probabilistic metric spaces (54E70)
Related Items (5)
Multivariate contraction mapping principle with the error estimate formulas in locally convex topological vector spaces and application ⋮ Non-self multivariate contraction mapping principle in Banach spaces ⋮ Multivariate contraction mapping principle in Menger probabilistic metric spaces ⋮ \(N\) fixed point theorems and \(N\) best proximity point theorems for generalized contraction in partially ordered metric spaces ⋮ Homeomorphism metric space and the fixed point theorems
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