2020
DOI: 10.1186/s13662-020-02756-0
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Existence results of nonlocal Robin mixed Hahn and q-difference boundary value problems

Abstract: In this paper, we aim to study a nonlocal Robin boundary value problem for fractional sequential fractional Hahn-q-equation. The existence and uniqueness results for this problem are revealed by using the Banach fixed point theorem. In addition, the existence of at least one solution is studied by using Schauder’s fixed point theorem. The theorems for existence results are obtained.

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Cited by 1 publication
(2 citation statements)
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“…Quantum calculus is not only used in quantum mechanics but also plays an important role in economics [20], dynamic system and quantum model [21], heat and wave equation [22], sampling signal analysis theory [23], and so on. Because of its wide application, fractional q-difference equation has entered the field of view of researchers [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Quantum calculus is not only used in quantum mechanics but also plays an important role in economics [20], dynamic system and quantum model [21], heat and wave equation [22], sampling signal analysis theory [23], and so on. Because of its wide application, fractional q-difference equation has entered the field of view of researchers [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40].…”
Section: Introductionmentioning
confidence: 99%
“…At present, there are many theoretical methods to solve the boundary value problem of fractional q-difference equations. The majority use all kinds of the fixed point theorem methods, such as the Guo-Krasnoselskii's fixed point theorem [25][26][27][28][29], the Leray-Schauder alternative principle, and the Banach contraction mapping principle [30][31][32][33][34], and less use monotone iteration techniques [35][36][37][38][39]. All these methods can effectively study the existence of solutions, but the reason why we chose to use the monotone iterative method is that it has more advantages than other methods, which can not only prove the existence of positive solutions but also obtain numerical approximate solutions within certain limits of error.…”
Section: Introductionmentioning
confidence: 99%