Runge–Kutta convolution quadrature methods for well-posed equations with memory

  • Authors:
  • M. P. Calvo;E. Cuesta;C. Palencia

  • Affiliations:
  • Universidad de Valladolid, Departamento de Matemática Aplicada, Valladolid, Spain;Universidad de Valladolid, Departamento de Matemática Aplicada, Valladolid, Spain;Universidad de Valladolid, Departamento de Matemática Aplicada, Valladolid, Spain

  • Venue:
  • Numerische Mathematik
  • Year:
  • 2007

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Abstract

Runge–Kutta based convolution quadrature methods for abstract, well-posed, linear, and homogeneous Volterra equations, non necessarily of sectorial type, are developed. A general representation of the numerical solution in terms of the continuous one is given. The error and stability analysis is based on this representation, which, for the particular case of the backward Euler method, also shows that the numerical solution inherits some interesting qualitative properties, such as positivity, of the exact solution. Numerical illustrations are provided.