An efficient hybridization scheme for time-fractional Cauchy equations with convergence analysis

Abstract

In this paper, a time-fractional Cauchy equation (TFCE) is analyzed by using the q-homotopy analysis Shehu transform algorithm (q-HASTA) with convergence analysis. The q-HASTA comprises with the reduced differential transform algorithm (RDTA). The solution of TFCE is represented in the series form by using the q-HASTA scheme. The TFCE is transformed into algebraic form for finding the general solution efficiently. This provides a compact form solution with minimized error. There are three key outcomes of the work. First, the small size of input parameters by the RDTA transforms into the subsidiary equation so that it takes short time to solve. As the second advantage, the structure of the problem is reduced by controlling the solution series; hence the characterization of the solution becomes classified for finding the particular solution. The third advantage of this work is that the approximate solution with absolute error approximation for the fractional model of the problem is handled by using a generalized and efficient scheme q-HASTA. These outcomes are illustrated by graphs and tables.

Keywords

• time-fractional cauchy equation
• q-homotopy analysis shehu transform algorithm
• reduced differential transform algorithm
• shehu transform