2020
DOI: 10.2298/aadm181018007g
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On contractive mappings and discontinuity at fixed points

Abstract: This paper deals with an interesting open problem of B.E. Rhoades (Contemporary Math. (Amer. Math. Soc.) 72(1988), 233-245) on the existence of general contractive conditions which have fixed points, but are not necessarily continuous at the fixed points. We propose some more solutions to this problem by introducing two new types of contractive mappings, that is, A-contractive and A -contractive, which are, in some sense, more appropriate than those of the important previous attempts. We establish some new fix… Show more

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Cited by 11 publications
(5 citation statements)
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“…For examples of particular mappings 'g' belonging to the above two collections, the readers are referred to see [1,7,10,11]. Now, we introduce the notion of A-contraction in case of a couple and a family of mappings.…”
Section: A-contraction and A-contractive Mappingsmentioning
confidence: 99%
See 1 more Smart Citation
“…For examples of particular mappings 'g' belonging to the above two collections, the readers are referred to see [1,7,10,11]. Now, we introduce the notion of A-contraction in case of a couple and a family of mappings.…”
Section: A-contraction and A-contractive Mappingsmentioning
confidence: 99%
“…Afterwards, this contractive condition have been extended in many ways. Among all such extensions, A-contractive and A -contractive conditions due to Garai et al [7] are one of the most generalized ones, since these two contain a handful number of contractive conditions as particular cases.…”
Section: Introductionmentioning
confidence: 99%
“…In 1999, Pant [27] proved two fixed point theorems in which the considered mappings were discontinuous at the fixed points, hence gave affirmative solutions to the Rhoades problem for both the single and a pair of self-mappings. Some new solutions to this problem with applications to neural networks have been reported in [2,3,4,5,6,12,23,24,25,26,29,30,31,32,37,39]. Fixed point theorems for discontinuous mappings have found a variety of applications, e.g., neural networks are generally used in character recognition, image compression, stock market prediction and to solve non-negative sparse approximation problems ( [10,11,20,21,22,38]).…”
Section: Introductionmentioning
confidence: 99%
“…(A ′ 1 ) there exists k ∈ [0, 1) such that if r ≤ f (s, 0, r + s), then r ≤ ks for all r, s ∈ R + ; (A ′ 2 ) if t ≤ t 1 , then f (r, s, t) ≤ f (r, s, t 1 ) for all r, s, t, t 1 ∈ R + ; (A ′ 3 ) if r ≤ f (r, r, r), then r = 0. For examples and properties of such collection of mappings, we refer the readers to [1,8,15].…”
Section: Introductionmentioning
confidence: 99%