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DIFFERENtIAl & DIFFERENCE EqUAtIONS ANd APPlICAtIONS

DIFFERENtIAl & DIFFERENCE EqUAtIONS ANd APPlICAtIONS

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FAST CONVERGENT ITERATIVE METHODS FOR SOME<br />

PROBLEMS OF MATHEMATICAL BIOLOGY<br />

HENRYK LESZCZYŃSKI<br />

We investigate how fast some iterative methods converge to the exact solution of a differential-functional<br />

von Foerster-type equation which describes a single population dependent<br />

on its past time, state densities, and on its total size.<br />

Copyright © 2006 Henryk Leszczyński. This is an open access article distributed under<br />

the Creative Commons Attribution License, which permits unrestricted use, distribution,<br />

and reproduction in any medium, provided the original work is properly cited.<br />

1. Introduction<br />

Von Foerster and Volterra-Lotka equations arise in biology, medicine and chemistry, see<br />

[1, 9]. The independent variables x j and the unknown function u stand for certain features<br />

and densities, respectively. It follows from this natural interpretation that x j ≥ 0<br />

and u ≥ 0. We are interested in von Foerster-type models, which are essentially nonlocal,<br />

because there are included also the total sizes of population ∫ u(t,x)dx.<br />

Existence results for certain von Foerster-type problems have been established by<br />

means of the Banach contraction principle, the Schauder fixed point theorem or iterative<br />

method, see [2–5]. These theorems are closely related to direct iterations for a natural<br />

integral fixed point operator. Because of nonlocal terms, these methods demand very<br />

thorough calculations and a proper choice of subspaces of continuous and integrable<br />

functions. Sometimes, it may cost some simplifications of the real model. On the other<br />

hand, there is a very consistent theory of first-order partial differential-functional equations<br />

in [7], based on properties of bicharacteristics and on fixed point techniques with<br />

respect to the uniform norms. Our research group has also obtained some convergence<br />

results for the direct iterative method under nonlinear comparison conditions.<br />

In the present paper, we find natural conditions which guarantee L ∞ ∩ L 1 -convergence<br />

of iterative methods of Newton type. These conditions are preceded by analogous (slightly<br />

weaker) conditions for direct iterations, however, we do not formulate any convergence<br />

results for them (this will be stated in another paper).<br />

Let τ = (τ 1 ,...,τ n ) ∈ R n +, τ 0 > 0, where R + := [0,+∞). Define B = [−τ 0 ,0]× [−τ,τ],<br />

where [−τ,τ] = [−τ 1 ,τ 1 ] ×···×[−τ n ,τ n ]andE 0 = [−τ 0 ,0]× R n , E = [0,a] × R n , a>0.<br />

Hindawi Publishing Corporation<br />

Proceedings of the Conference on Differential & Difference Equations and Applications, pp. 661–666

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