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Qualitative behaviour of numerical approximations to Volterra integro-differential equations

机译:Volterra积分-微分方程数值近似的定性行为

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In this paper, we investigate the qualitative behaviour of numerical approximations to a nonlinear Volterra integro-differential equation with unbounded delay. We consider the simple single-species growth model d/dt N(t) = λN(t)(1-c{sup}(-1))∫(k(t-s)N(s)ds)(s from -∞ to t). We apply the (composite) Θ-rule as a quadrature to discretize the equation. We are particularly concerned with the way in which the long-term qualitative properties of the analytical solution can be preserved in the numerical approximation. Using results in (S.N. Elaydi and S. Murakami, J. Differ. Equations Appl. 2 (1996) 401; Y. Song and C.T.H. Baker, J. Differ. Equations Appl. 10 (2004) 379) for Volterra difference equations, we show that, for a small bounded initial function and a small step size, the corresponding numerical solutions display the same qualitative properties as found in the original problem. In the final section of this paper, we discuss how the analysis can be extended to a wider class of Volterra integral equations and Volterra integro-differential equations with fading memory.
机译:在本文中,我们研究了具有无穷时滞的非线性Volterra积分微分方程的数值逼近的定性行为。我们考虑简单的单物种生长模型d / dt N(t)=λN(t)(1-c {sup}(-1))∫(k(ts)N(s)ds)(s从-∞至t)。我们将(复合)θ规则应用为平方来离散化方程。我们特别关注在数值近似中可以保留分析溶液的长期定性性质的方式。使用Volterra差分方程的结果(SN Elaydi和S. Murakami,J. Differ。Equations Appl。2(1996)401; Y. Song和CTH Baker,J.Differ。Equations Appl。10(2004)379)中的结果,我们表明,对于有限的初始函数和较小的步长,相应的数值解具有与原始问题相同的定性性质。在本文的最后一节中,我们讨论了如何将分析扩展到具有衰减记忆的Volterra积分方程和Volterra积分微分方程。

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