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Publication Type : Journal Article
Publisher : Elsevier BV
Source : Communications in Nonlinear Science and Numerical Simulation
Url : https://doi.org/10.1016/j.cnsns.2023.107245
Keywords : Initial–boundary value problems, Time-fractional diffusion–convection–reaction equations, Nonlinear time-fractional PDEs, Exact solutions, Invariant subspace method, Mittag-Leffler functions
Campus : Amritapuri
School : School of Physical Sciences
Department : Mathematics
Year : 2023
Abstract : This paper systematically explains how to apply the invariant subspace method using variable transformation for finding the exact solutions of the 
 
 (
 k
 +
 1
 )
 
 -dimensional nonlinear time-fractional PDEs in detail. More precisely, we have shown how to transform the given 
 
 (
 k
 +
 1
 )
 
 -dimensional nonlinear time-fractional PDEs into 
 
 (
 1
 +
 1
 )
 
 -dimensional nonlinear time-fractional PDEs using the variable transformation procedure. Also, we explain how to derive the exact solutions for the reduced equations using the invariant subspace method. Additionally, in this careful and systematic study, we will investigate how to find the various types of exact solutions of the 
 
 (
 3
 +
 1
 )
 
 -dimensional nonlinear time-fractional convection–diffusion–reaction equation along with appropriate initial and boundary conditions for the first time. Moreover, the obtained exact solutions of the equation as mentioned above can be written in terms of polynomial, exponential, trigonometric, hyperbolic, and Mittag-Leffler functions. Finally, the discussed method is extended for the 
 
 (
 k
 +
 1
 )
 
 -dimensional nonlinear time-fractional PDEs with several linear time delays, and the exact solution of the 
 
 (
 3
 +
 1
 )
 
 -dimensional nonlinear time-fractional delay convection–diffusion–reaction equation is derived.
Cite this Research Publication : K.S. Priyendhu, P. Prakash, M. Lakshmanan, Invariant subspace method to the initial and boundary value problem of the higher dimensional nonlinear time-fractional PDEs, Communications in Nonlinear Science and Numerical Simulation, Elsevier BV, 2023, https://doi.org/10.1016/j.cnsns.2023.107245