2022
DOI: 10.3390/fractalfract6090481
|View full text |Cite
|
Sign up to set email alerts
|

Multiplicity of Solutions for Fractional-Order Differential Equations via the κ(x)-Laplacian Operator and the Genus Theory

Abstract: In this paper, we investigate the existence and multiplicity of solutions for a class of quasi-linear problems involving fractional differential equations in the χ-fractional space Hκ(x)γ,β;χ(Δ). Using the Genus Theory, the Concentration-Compactness Principle, and the Mountain Pass Theorem, we show that under certain suitable assumptions the considered problem has at least k pairs of non-trivial solutions.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 22 publications
(1 citation statement)
references
References 54 publications
0
1
0
Order By: Relevance
“…Jung, Rezaei and Rassias [9] studied the Ulam stability of ODEs by the Laplace transform technique. Applying the UHR technique, Baleanu and Wu [10] demonstrated the Mittag-Leffler (ML)-type stability of fractional equations; Baleanu, Wu and Huang [11] demonstrated the ML-type stability of fractional delay difference equations with impulse; Wu [12] proved the ML-type stability of fractional neural networks through the fixed point (FP) theory see also [13].…”
Section: Introductionmentioning
confidence: 99%
“…Jung, Rezaei and Rassias [9] studied the Ulam stability of ODEs by the Laplace transform technique. Applying the UHR technique, Baleanu and Wu [10] demonstrated the Mittag-Leffler (ML)-type stability of fractional equations; Baleanu, Wu and Huang [11] demonstrated the ML-type stability of fractional delay difference equations with impulse; Wu [12] proved the ML-type stability of fractional neural networks through the fixed point (FP) theory see also [13].…”
Section: Introductionmentioning
confidence: 99%