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May 14, 2026Mathematics0 citationsOpen Access

Impulsive Fractional Boundary Value Problems via ψ- and q-Fractional Calculus

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CSChayapat SudprasertSASuphawat AsawasamritSNSotiris K. Ntouyas

Key Points

  • This research aims to explore a novel class of mixed impulsive fractional boundary value problems that integrate different fractional calculus approaches.
  • Utilized ψ-Caputo and q-difference fractional derivatives in governing equations.
  • Applied the Banach contraction mapping principle and Leray–Schauder nonlinear alternative for analysis.
  • Provided numerical examples to demonstrate solution behavior and applicability.
  • Established sufficient conditions for the existence and uniqueness of solutions.
  • Unified and extended several existing fractional models.
  • Demonstrated flexibility in modeling scenarios involving memory effects and scale-transition mechanisms.

Abstract

This paper investigates a new class of mixed impulsive fractional boundary value problems (BVPs) in which the mixing occurs both in the governing fractional differential equations—through the combined presence of ψ-Caputo and quantum (q-difference) fractional derivatives—and in the boundary conditions formulated via fractional integral constraints. By incorporating two distinct operators within the same dynamical framework, the proposed model is capable of capturing both memory effects and discrete-scale behaviors inherent in complex hybrid systems. Using the Banach contraction mapping principle and the Leray–Schauder nonlinear alternative, sufficient conditions ensuring the existence and uniqueness of solutions are established. The theoretical results unify and extend several known fractional models. Owing to its flexible structure, the proposed framework may serve as a useful mathematical tool for modeling impulsive phenomena in systems where non-local memory and scale-transition mechanisms coexist, such as in engineering, physics, and applied sciences. Finally, numerical examples are provided to illustrate the applicability and qualitative behavior of the solutions.

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Cite This Study

Sudprasert et al. (2026) studied this question.

synapsesocial.com/papers/6a056668a550a87e60a1e6f9https://doi.org/10.3390/math14101647
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