Litcius/Paper detail

Numerical Treatment of Time-Fractional Klein–Gordon Equation Using Redefined Extended Cubic B-Spline Functions

Muhammad Noor‐ul‐Amin, Muhammad Abbas, Muhammad Kashif Iqbal, Dumitru Bǎleanu

2020Frontiers in Physics43 citationsDOIOpen Access PDF

Abstract

In this article we develop a numerical algorithm based on redefined extended cubic B-spline functions to explore the approximate solution of the time-fractional Klein-Gordon equation. The proposed technique employs the finite difference formulation to discretize the Caputo fractional time derivative of order (1, 2] and uses redefined extended cubic B-spline functions to interpolate the solution curve over a spatial grid. A stability analysis of the scheme is conducted, which confirms that the errors do not amplify during execution of the numerical procedure. The derivation of a uniform convergence result reveals that the scheme is O(h 2 + t 2- ) accurate. Some computational experiments are carried out to verify the theoretical results. Numerical simulations comparing the proposed method with existing techniques demonstrate that our scheme yields superior outcomes.

Topics & Concepts

DiscretizationMathematicsConvergence (economics)B-splineStability (learning theory)Mathematical analysisApplied mathematicsMonotone cubic interpolationNumerical analysisGridSpline (mechanical)Scheme (mathematics)GeometryComputer sciencePhysicsTrilinear interpolationEconomicsPolynomialMachine learningThermodynamicsLinear interpolationEconomic growthFractional Differential Equations SolutionsDifferential Equations and Numerical MethodsNonlinear Differential Equations Analysis
Numerical Treatment of Time-Fractional Klein–Gordon Equation Using Redefined Extended Cubic B-Spline Functions | Litcius