Maple für Professional
Maple für Akademiker
Maple für Studenten
Maple Personal Edition
Maple Player
Maple Player für iPad
MapleSim für Professional
MapleSim für Akademiker
Maple T.A. - Testen & beurteilen
Maple T.A. MAA Placement Test Suite
Möbius - Online-Courseware
Machine Design / Industrial Automation
Luft- und Raumfahrt
Fahrzeugtechnik
Robotics
Energiebranche
System Simulation and Analysis
Model development for HIL
Anlagenmodelle für den Regelungsentwurf
Robotics/Motion Control/Mechatronics
Other Application Areas
Mathematikausbildung
Technik
Allgemein- und berufsbildende Schulen
Testen und beurteilen
Studierende
Finanzmodelle
Betriebsforschung
Hochleistungsrechnen
Physik
Live-Webinare
Aufgezeichnete Webinare
Geplante Veranstaltungen
MaplePrimes
Maplesoft-Blog
Maplesoft-Mitgliedschaft
Maple Ambassador Program
MapleCloud
Technische Whitepapers
E-Mail Newsletters
Maple-Bücher
Math Matters
Anwendungs-Center
MapleSim Modell-Galerie
Anwenderberichte
Exploring Engineering Fundamentals
Lehrkonzepte mit Maple
Maplesoft Welcome-Center
Resource-Center für Lehrer
Help-Center für Studierende
DEtools[super_reduce] - compute a super-irreducible form of a linear differential system
DEtools[moser_reduce] - compute a Moser-irreducible form of a linear differential system
Calling Sequence
super_reduce(A, x, p, u)
super_reduce(A, x, p, u, T, invT)
moser_reduce(A, x, p, u)
moser_reduce(A, x, p, u, T, invT)
Parameters
A
-
square matrix with rational function entries
x
independent variable of the system
p
irreducible polynomial in x or the symbol infinity
u
name
T
invT
Description
Consider the linear differential system
For a rational function matrix with the transformation
leads to a new system . One has
The matrices A and are said to be equivalent.
The super_reduce function computes a matrix equivalent to A in a special form, called super-irreducible at p. The output is a list of two elements. The first is the super-irreducible matrix; the second gives information about the integer slopes and Newton polynomials of the Newton polygon of the computed system. It is a list of couples, the first element of which is an integer (the slope) and the second a polynomial in u (the Newton polynomial associated with the slope).
The moser_reduce function computes a matrix equivalent to A which is Moser-irreducible at p. This is an equivalent matrix of minimal pole order. The output is similar to the super_reduce function, but only the Newton polynomials associated with the two biggest slopes are returned.
If T and invT are passed as arguments, they are assigned to the transformation matrix T and their inverse which transforms A to the super-irreducible (Moser-irreducible) matrix.
These functions are part of the DEtools package, and so they can be used in the form super_reduce(..) and moser_reduce(..) only after executing the command with(DEtools). However, they can always be accessed through the long form of the command by using DEtools[super_reduce](..) or DEtools[moser_reduce](..).
Examples
Consider the following matrix:
The pole order of this matrix at the point is . The Moser algorithm computes an equivalent matrix of minimal pole order.
Here, the pole order is now . The super reduction algorithm computes a matrix which is Moser-irreducible and moreover the minimum of the valuations of each column (or equivalently, each row) is minimal. This also gives as additional information the integer slopes of the Newton polygon and the associated Newton polynomials.
Check whether the matrix T is the correct transformation matrix:
If p is an irreducible polynomial, the computations are done for all roots of p simultaneously. The transformation matrices and hence the transformed matrix do not involve algebraic extensions over the ground field.
See Also
DEtools
References
Pfluegel, E. "An Algorithm For Computing Exponential Solutions of First Order Linear Differential Systems." In Proceedings of ISSAC '97, pp. 164-171. Edited by Wolfgang Kuchlin. New York: ACM Press, 1997.
Download Help Document