Numerical Methods Contents - SAM
Numerical Methods Contents - SAM
Numerical Methods Contents - SAM
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✬<br />
Theorem 10.4.1 (Existence of n-point quadrature formulas of order 2n).<br />
Let { ¯Pn<br />
}n∈N 0<br />
be a family of non-zero polynomials that satisfies<br />
• ¯P n ∈ P n ,<br />
∫ 1<br />
• q(t) ¯P n (t) dt = 0 for all q ∈ P n−1 (L 2 (] − 1, 1[)-orthogonality),<br />
−1<br />
• The set {ξj n}m j=1 , m ≤ n, of real zeros of ¯P n is contained in [−1, 1].<br />
Then<br />
✫<br />
Q n (f) :=<br />
m∑<br />
ωj n f(ξn j )<br />
j=1<br />
with weights chosen according to Rem. 10.3.11 provides a quadrature formula of order 2n on<br />
[−1, 1].<br />
✩<br />
✪<br />
Definition 10.4.2 (Legendre polynomials).<br />
The n-th Legendre polynomial P n is defined<br />
by<br />
• P n ∈ P n ,<br />
∫ 1<br />
• P n (t)q(t) dt = 0 ∀q ∈ P n−1 ,<br />
−1<br />
• P n (1) = 1.<br />
−1<br />
Legendre polynomials P 0 , . ..,P 5 ➣<br />
−1 −0.5 0 0.5 1<br />
P n<br />
(t)<br />
1<br />
0.8<br />
0.6<br />
0.4<br />
0.2<br />
0<br />
−0.2<br />
−0.4<br />
−0.6<br />
−0.8<br />
Legendre polynomials<br />
t<br />
n=0<br />
n=1<br />
n=2<br />
n=3<br />
n=4<br />
n=5<br />
Fig. 114<br />
Notice: the polynomials ¯P n defined by (10.4.5) and the Legendre polynomials P n of Def. 10.4.2<br />
(merely) differ by a constant factor!<br />
Proof. Conclude from the orthogonality of the ¯P { } n<br />
n that ¯P k k=0 is a basis of P n and<br />
∫ 1<br />
h(t) ¯P n (t) dt = 0 ∀h ∈ P n−1 . (10.4.6)<br />
−1<br />
Recall division of polynomials with remainder (Euclid’s algorithm → Course “Diskrete Mathematik”):<br />
Ôº ½¼º<br />
Gauss points ξ n j = zeros of Legendre polynomial P n<br />
Note: the above considerations, recall (10.4.4), show that the nodes of an n-point quadrature formula<br />
Ôº ½¼º<br />
for any p ∈ P 2n−1<br />
p(t) = h(t) ¯P n (t) + r(t) , for some h ∈ P n−1 , r ∈ P n−1 . (10.4.7)<br />
of order 2n on [−1, 1] must agree with the zeros of L 2 (] − 1, 1[)-orthogonal polynomials.<br />
Apply this representation to the integral:<br />
∫1 ∫1<br />
p(t) dt = h(t) ¯P n (t) dt<br />
−1<br />
−1<br />
} {{ }<br />
=0 by (10.4.6)<br />
∫1<br />
+<br />
−1<br />
r(t) dt (∗) =<br />
m∑<br />
ωj n r(ξn j ) , (10.4.8)<br />
j=1<br />
✗<br />
✖<br />
n-point quadrature formulas of order 2n are unique<br />
This is not surprising in light of “2n equations for 2n degrees of freedom”.<br />
✔<br />
✕<br />
(∗): by choice of weights according to Rem. 10.3.11 Q n is exact for polynomials of degree ≤ n − 1!<br />
!<br />
We are not done yet: the zeros of ¯P n from (10.4.5) may lie outside [−1, 1].<br />
In principle ¯P n could also have less than n real zeros.<br />
By choice of nodes as zeros of ¯P n using (10.4.6):<br />
m∑<br />
j=1<br />
ωj n p(ξn j ) (10.4.7)<br />
=<br />
m∑<br />
ωj n h(ξn j ) ¯P<br />
m∑<br />
n (ξj n } {{ }<br />
) +<br />
j=1 =0 j=1<br />
ωj n r(ξn j ) (10.4.8)<br />
=<br />
∫1<br />
−1<br />
p(t) dt .<br />
✷<br />
The next lemma shows that all this cannot happen.<br />
The family of polynomials { ¯P n<br />
}n∈N 0<br />
are so-called orthogonal polynomials w.r.t. the L 2 (] − 1, 1[)-<br />
inner product. They play a key role in analysis.<br />
Ôº ½¼º<br />
Ôº¼¼ ½¼º