Novel operational matrices-based finite difference/spectral algorithm for a class of time-fractional Burger equation in multidimensions

Muhammad Usman, Muhammad Hamid and Moubin Liu

Chaos, Solitons & Fractals, 2021, vol. 144, issue C

Abstract: In this work, an innovative computational scheme is developed to compute stable solutions of time-fractional coupled viscous Burger's equation in multi-dimensions. To discretize the problem, the temporal derivative is approximated through a forward difference scheme whereas the spatial derivatives are approximated assisted by novel operational matrices that have been constructed via shifted Gegenbauer wavelets (SGWs). The piecewise functions are utilized to construct the operational matrices of multi-dimensional SGWs vectors although related theorems are offered to authenticate the scheme mathematically. The proposed computational algorithm converts the model understudy to a system of linear algebraic equations that are easier to tackle. To validate the accuracy, credibility, and reliability of the present method, the time-fractional viscous Burger's models are considered in one, two, and three dimensions. An inclusive comparative study is reported which demonstrates that the proposed computational scheme is effective, accurate, and well-matched to find the numerical solutions of the aforementioned problems. Convergence, error bound, and stability of the suggested method is investigated theoretically and numerically.

Keywords: Shifted Gegenbauer polynomials (SGP); Wavelets; Fractional calculus; Burger equation (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:144:y:2021:i:c:s0960077921000540

DOI: 10.1016/j.chaos.2021.110701

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