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The Computable Differential Equation Lecture ... - Bruce E. Shapiro

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CHAPTER 6. LINEAR MULTISTEP METHODS 119<br />

<strong>The</strong>orem 6.1. A linear multistep method is consistent if it has order greater than<br />

or equal to 1. Thus<br />

0 =<br />

0 =<br />

k∑<br />

a j (6.20)<br />

j=0<br />

k∑ k∑<br />

ja j + b j (6.21)<br />

j=1 j=0<br />

In terms of the characteristic polynomial, the method is consistent if and only if<br />

ρ(1) = 0 (6.22)<br />

ρ ′ (1) = σ(1) (6.23)<br />

<strong>The</strong> proof follows immediately from the definitions of the C i and the characteristic<br />

polynomials.<br />

6.2 <strong>The</strong> Root Condition for Linear Multistep Methods<br />

If we apply the general k-step linear multistep method<br />

k∑<br />

k∑<br />

a j y n−j = h b j f n−j (6.24)<br />

j=0<br />

j=0<br />

to the test equation y ′ = λy, we obtain the difference equation<br />

k∑<br />

k∑<br />

a j y n−j = z b j y n−j (6.25)<br />

j=0<br />

j=0<br />

where z = hλ. Solutions to this difference equation include r k where r is any root<br />

of the characteristic polynomial<br />

φ(r) = ρ(r) − zσ(r) (6.26)<br />

where ρ and σ are as defined in equations 6.2 and 6.3. Because stability relates to<br />

what happens in the limit h → 0 (z = 0 in the above equation) it turns out that<br />

only the roots of ρ matter.<br />

c○2007, B.E.<strong>Shapiro</strong><br />

Last revised: May 23, 2007<br />

Math 582B, Spring 2007<br />

California State University Northridge

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