The Computable Differential Equation Lecture ... - Bruce E. Shapiro
The Computable Differential Equation Lecture ... - Bruce E. Shapiro
The Computable Differential Equation Lecture ... - Bruce E. Shapiro
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174 CHAPTER 9. DIFFERENTIAL ALGEBRAIC EQUATIONS<br />
3. <strong>The</strong> local index of the pencil is ≥ 2<br />
<strong>The</strong> following theorem effectively says that there are three broad classes of<br />
DAE’s: implicit ODE’s (index 0 DAEs); index 1 DAEs; and index 2 DAEs.<br />
<strong>The</strong>orem 9.7. Let A(t)y ′ (t) + B(t)y(t) = f(t) be a solvable linear time-varying<br />
DAE with matrix pencil λA(t) + B(t) with index > 2 on some interval I. <strong>The</strong>n it is<br />
possible to find an analytically equivalent transformation of the DAE on some open<br />
subinterval of I with local index of 2.<br />
<strong>The</strong>orem 9.8. Let A(t)y ′ (t) + B(t)y(t) = f(t) be a linear time-varying DAE where<br />
A(t) and B(t) are real and analytic. <strong>The</strong>n the DAE is solvable if and only if it is<br />
analytically equivalent to a system in standard canonical form using a real analytic<br />
coordinate change.<br />
<strong>The</strong>orem 9.9. Let A(t)u ′ (t) + B(t)u(t) = f(t) be a solvable linear time-varying<br />
DAE. <strong>The</strong>n it is analytically equivalent to<br />
where N is nilpotent and C is a matrix.<br />
x ′ + Cy ′ = f(t) (9.76)<br />
Ny ′ + y = g(t) (9.77)<br />
9.4 Hessenberg Forms for Linear and Nonlinear DAEs<br />
Recall that a matrix A is said to be a Hessenberg Matrix if A i,j = 0 for i > j + 1,<br />
i.e., only the upper triangular, diagonal, and sub-diagonal elements are non-zero:<br />
⎛<br />
⎞<br />
a 1,1 a 1,2 a 1,3 · · · a 1,n−1 a 1,n<br />
a 2,1 a 2,2 a 2,3 a 2,n−1 a 2,n<br />
0 a3, 2 a3, 3<br />
. .<br />
.<br />
⎜<br />
0 0 .. . .. (9.78)<br />
. .<br />
⎟<br />
⎝ 0 0 0 a n−1,n−2 a n−1,n−1 a n−1,n<br />
⎠<br />
0 0 0 0 a n,n−1 a n,n<br />
Hessenberg forms arise commonly in physical problems due to the natural symmetry<br />
of the problems. Thus a great deal of current research is based on solving problems<br />
of this form.<br />
Definition 9.10. Let A(t)y ′ (t) + B(t)y(t) = f(t) be a linear time varying DAE.<br />
<strong>The</strong>n it is in Hessenberg Size n Form if it can be written in block form as<br />
⎛<br />
⎞ ⎛ ⎞<br />
I 0 · · · 0 x ′ ⎛<br />
⎞ ⎛ ⎞ ⎛ ⎞<br />
B 11 B 12 · · · B 1,n−1 B 1,n<br />
x f(t)<br />
. 0 I .. .<br />
.<br />
B 21 B 22 · · · B 2,n−1 0<br />
.<br />
⎜<br />
. .. . ..<br />
.<br />
.<br />
⎟<br />
.<br />
+<br />
0 B 32 · · · B 3,n−1 .<br />
⎝0 I 0⎠<br />
⎜ ⎟ ⎜<br />
⎝ . ⎠ ⎝<br />
.<br />
0 0 ..<br />
⎟<br />
.<br />
=<br />
.<br />
. ⎠ ⎜ ⎟ ⎜ ⎟<br />
⎝ . ⎠ ⎝ . ⎠<br />
0 · · · · · · 0 y ′ 0 · · · 0 B n,n−1 0 y g(t)<br />
(9.79)<br />
Math 582B, Spring 2007<br />
California State University Northridge<br />
c○2007, B.E.<strong>Shapiro</strong><br />
Last revised: May 23, 2007