LECTURE 3: Polynomial interpolation and numerical differentiation
LECTURE 3: Polynomial interpolation and numerical differentiation
LECTURE 3: Polynomial interpolation and numerical differentiation
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3.2 Theorems on <strong>interpolation</strong> errors<br />
Theorem 1.<br />
If p is the polynomial of degree at most n that interpolates f at the n+1 distinct nodes<br />
x i (0 ≤ i ≤ n) belonging to an interval [a,b] <strong>and</strong> if f (n+1) (the nth derivative of f ) is<br />
continuous, then for each x in [a,b], there is a ξ in(a,b) for which<br />
1<br />
f(x)− p(x)=<br />
(n+1)! f(n+1) (ξ)<br />
n<br />
∏<br />
i=0<br />
(x−x i )<br />
Theorem 2.<br />
Let f be a function such that f (n+1) is continuous on [a,b] <strong>and</strong> satisfies | f (n+1) (x)|≤M.<br />
Let p be the polynomial of degree ≤ n that interpolates f at n+1 equally spaced nodes<br />
in[a,b], including the endpoints. Then on[a,b],<br />
| f(x)− p(x)|=<br />
( )<br />
1 b−a n+1<br />
4(n+1) M n<br />
Theorem 3.<br />
If p is the polynomial of degree n that interpolates the function f at nodes x i (0≤i≤n),<br />
then for any x not a node<br />
f(x)− p(x)= f[x 0 ,x 1 ,...,x n ,x]<br />
n<br />
∏<br />
i=0<br />
(x−x i )