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On solving a second-order scalar differential equation involving symmetry/reflection of argument: exact solution

  • Published: 09 September 2026
  • MSC : 34B15, 47H11

  • This paper applies a reduction approach to solve a second-order scalar model with reflection of argument. Such types of models arise in modeling the transmission of nerve impulses in neuroscience. The proposed approach is capable of eliminating the reflection term with nonlocal classic behavior. Accordingly, an equivalent fourth-order model is deduced. The converted model is then exactly solved, basically in exponential and hyperbolic forms. Domains of valid parameters for obtaining several forms of the solution are specified. Moreover, various special cases are studied including repeated roots for the characteristic equation in which different types of solutions are determined. Furthermore, periodic solutions are derived under particular constraints. The proposed analysis reveals that the suggested approach can be extended to handle higher-order reflected models.

    Citation: Laila F. Seddek, Essam R. El-Zahar, Abdelhalim Ebaid. On solving a second-order scalar differential equation involving symmetry/reflection of argument: exact solution[J]. AIMS Mathematics, 2026, 11(9): 28971-28990. doi: 10.3934/math.20261152

    Related Papers:

  • This paper applies a reduction approach to solve a second-order scalar model with reflection of argument. Such types of models arise in modeling the transmission of nerve impulses in neuroscience. The proposed approach is capable of eliminating the reflection term with nonlocal classic behavior. Accordingly, an equivalent fourth-order model is deduced. The converted model is then exactly solved, basically in exponential and hyperbolic forms. Domains of valid parameters for obtaining several forms of the solution are specified. Moreover, various special cases are studied including repeated roots for the characteristic equation in which different types of solutions are determined. Furthermore, periodic solutions are derived under particular constraints. The proposed analysis reveals that the suggested approach can be extended to handle higher-order reflected models.



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