Research article

Three-variable eighth-kind Chebyshev polynomials for two-dimensional multiterm time-fractional diffusion–wave equations

  • Published: 16 September 2026
  • MSC : 35C11, 35Q79, 41A10, 65M70

  • Three-variable eighth-kind Chebyshev polynomials are employed as basis functions to construct a pseudo-operational collocation method. The proposed approach is applied to solve two-dimensional multiterm time-fractional diffusion–wave equations (three variables corresponding to two spatial variables and one temporal variable). The existence and uniqueness of the solution to the considered problem are established using Krasnoselskii's fixed-point theorem. An upper bound for the residual function is derived in a suitable weighted space, showing that the use of a finite number of basis functions provides an accurate approximate solution. Several illustrative examples are presented to demonstrate the applicability, accuracy, and computational efficiency of the proposed scheme for high-dimensional partial differential equations.

    Citation: Khadijeh Sadri, David Amilo, Evren Hinçal, Mahmoud A. Zaky. Three-variable eighth-kind Chebyshev polynomials for two-dimensional multiterm time-fractional diffusion–wave equations[J]. AIMS Mathematics, 2026, 11(9): 30091-30124. doi: 10.3934/math.20261192

    Related Papers:

  • Three-variable eighth-kind Chebyshev polynomials are employed as basis functions to construct a pseudo-operational collocation method. The proposed approach is applied to solve two-dimensional multiterm time-fractional diffusion–wave equations (three variables corresponding to two spatial variables and one temporal variable). The existence and uniqueness of the solution to the considered problem are established using Krasnoselskii's fixed-point theorem. An upper bound for the residual function is derived in a suitable weighted space, showing that the use of a finite number of basis functions provides an accurate approximate solution. Several illustrative examples are presented to demonstrate the applicability, accuracy, and computational efficiency of the proposed scheme for high-dimensional partial differential equations.



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