132 research outputs found
Simulation of MEMRISTORS in the presence of a high-frequency forcing function
This reported work is concerned with the simulation of MEMRISTORS when they are subject to high-frequency forcing functions. A novel asymptotic-numeric simulation method is applied. For systems involving high-frequency signals or forcing functions, the superiority of the proposed method in terms of accuracy and efficiency when compared to standard simulation techniques shall be illustrated. Relevant dynamical properties in relation to the method shall also be considered
On systems of differential equations with extrinsic oscillation
We present a numerical scheme for an efficient discretization of nonlinear systems of differential equations subjected to highly oscillatory perturbations. This method is superior
to standard ODE numerical solvers in the presence of high frequency forcing terms,and is based on asymptotic expansions of the solution in inverse powers of the oscillatory
parameter w, featuring modulated Fourier series in the expansion coefficients. Analysis of numerical stability and numerical examples are included
Simulation of nonlinear systems subject to modulated chirp signals
Purpose
The purpose of the paper is to apply a novel technique for the simulation of nonlinear systems subject to
modulated chirp signals.
Design/methodology/approach
The simulation technique is first described and its salient features are presented. Two examples are given to
confirm the merits of the method.
Findings
The results indicate that the method is appropriate for simulating nonlinear systems subject to modulated chirp
signals. In particular, the efficiency and accuracy of the method is seen to improve as the chirp frequency
increases. In addition, error bounds are given for the method.
Originality/value
Chirp signals are employed in several important applications such as representing biological signals and in spread spectrum communications. Analysis of systems involving such signals requires accurate, appropriate and
effective simulation techniques
Explicit representations of biorthogonal polynomials
Given a parametrised weight function such that the quotients
of its consecutive moments are M\"obius maps, it is possible to express the
underlying biorthogonal polynomials in a closed form \cite{IN2}. In the present
paper we address ourselves to two related issues. Firstly, we demonstrate that,
subject to additional assumptions, every such obeys (in ) a linear
differential equation whose solution is a generalized hypergeometric function.
Secondly, using a generalization of standard divided differences, we present a
new explicit representation of the underlying orthogonal polynomials
Orthogonal Systems with a Skew-Symmetric Differentiation Matrix
Funder: University of ManchesterAbstract
In this paper, we explore orthogonal systems in L2(R) which give rise to a real skew-symmetric, tridiagonal, irreducible differentiation matrix. Such systems are important since they are stable by design and, if necessary, preserve Euclidean energy for a variety of time-dependent partial differential equations. We prove that there is a one-to-one correspondence between such an orthonormal system {Ļn}nāZ+ and a sequence of polynomials {pn}nāZ+ orthonormal with respect to a symmetric probability measure dĪ¼(Ī¾)=w(Ī¾)dĪ¾. If dĪ¼ is supported by the real line, this system is dense in L2(R); otherwise, it is dense in a PaleyāWiener space of band-limited functions. The path leading from dĪ¼ to {Ļn}nāZ+ is constructive, and we provide detailed algorithms to this end. We also prove that the only such orthogonal system consisting of a polynomial sequence multiplied by a weight function is the Hermite functions. The paper is accompanied by a number of examples illustrating our argument.</jats:p
A recurrence relation for generalised connection coefficients
We formulate and prove a general recurrence relation that applies to
integrals involving orthogonal polynomials and similar functions. A special
case are connection coefficients between two sets of orthonormal polynomials,
another example is integrals of products of Legendre functions
Efficient computation of delay differential equations with highly oscillatory terms.
This paper is concerned with the asymptotic expansion and numerical solution of systems of linear delay differential equations with highly oscillatory forcing terms. The computation of such problems using standard numerical methods is exceedingly slow and inefficient, indeed standard software is practically useless for this purpose. We propose an alternative, consisting of an asymptotic expansion of the solution, where each term can be derived either by recursion or by solving a non-oscillatory problem. This leads to methods which, counter-intuitively to those developed according to standard numerical reasoning, exhibit improved performance with growing frequency of oscillation
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