Euler-Lagrange Equations with Generalized ABC and ABR Nabla Fractional Differences
Keywords:
Discrete fractional Euler–Lagrange equations, nabla fractional differences, discrete nabla Mittag–Leffler function, generalized ABC nabla fractional difference, summation by parts, calculus of variationsAbstract
Background: Discrete fractional calculus has emerged as an important mathematical framework for modeling dynamical systems with memory and nonlocal behavior. In particular, nabla fractional differences with Mittag–Leffler kernels have been widely used in discrete fractional variational problems and their associated Euler–Lagrange equations. Objectives: This study aims to derive new discrete fractional Euler–Lagrange equations involving generalized Atangana–Baleanu Caputo (ABC) and Atangana–Baleanu Riemann (ABR) nabla fractional differences with generalized Mittag–Leffler kernels. Methods: First, new summation-by-parts formulas for generalized ABC and ABR nabla fractional differences with a three-parameter Mittag–Leffler kernel are established. These formulas are then employed within the framework of discrete fractional calculus of variations to derive Euler–Lagrange equations for functionals containing generalized ABC nabla left and right fractional differences. Results: New discrete fractional Euler–Lagrange equations are obtained for variational problems involving generalized ABC nabla fractional differences with generalized Mittag–Leffler kernels. The proposed results extend previously known Euler–Lagrange formulations based on one-parameter kernels. Illustrative examples are presented to demonstrate the applicability of the theoretical findings. Conclusions: The results provide a generalized framework for discrete fractional variational problems and contribute to the development of Euler–Lagrange theory with generalized ABC and ABR nabla fractional operators, opening new directions for future research in discrete fractional calculus.
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Copyright (c) 2026 © 2026 The Author(s). Published by Arab American University. This article is distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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