Litcius/Paper detail

Numerical solutions for solving model time‐fractional<scp>Fokker–Planck</scp>equation

A. M. S. Mahdy

2020Numerical Methods for Partial Differential Equations60 citationsDOI

Abstract

Abstract In this work, we use two different techniques to discuss approximate analytical solutions for the time‐fractional Fokker–Planck equation (TFFPE), namely the new iterative method (NIM) and the fractional power series method (FPSM). Stability analyses and truncation errors are studied using a procedure like the fundamental von Neumann stability analysis. Discretization is carried out numerically for TFFPE by the implicit finite difference and the Crank–Nicolson method. The techniques used in solving the TFFPE are simple and powerful enough to understand the numerical solutions of linear and nonlinear fractional differential equations. We discuss the approximate solutions obtained using the NIM and FPSM. This is explained by employing tables and shapes. The approximate solutions strongly converge to an accurate solution. All computations in this work were carried out using Maple 16.

Topics & Concepts

MathematicsDiscretizationTruncation errorFokker–Planck equationTruncation (statistics)Applied mathematicsStability (learning theory)Nonlinear systemPower seriesComputationVon Neumann stability analysisNumerical analysisNumerical stabilityDifferential equationMathematical analysisAlgorithmComputer scienceQuantum mechanicsMachine learningStatisticsPhysicsFractional Differential Equations SolutionsNonlinear Differential Equations AnalysisProbabilistic and Robust Engineering Design
Numerical solutions for solving model time‐fractional<scp>Fokker–Planck</scp>equation | Litcius