Description
- For f ∈ C2[x0,x1] and x ∈ (x0,x1), linear interpolation of f at x0 and x1 yields
.
Consider the case
- Determine ξ(x) explicitly.
- For x ∈ [x0,x1], find maxξ(x), minξ(x), and maxf00(ξ(x)).
- Let Pm+ be the set of all polynomials of degree ≤ m that are non-negative on the real line,
P+m = {p : p ∈ Pm, ∀x ∈ R,p(x) ≥ 0}.
Find such that p(xi) = fi for i = 0,1,…,n where fi ≥ 0 and xi are distinct points on R.
- Consider f(x) = ex.
- Prove by induction that
.
- From Corollary 3.17 we know
ξ ∈ (0,n) s.t..
Determine ξ from the above two equations. Is ξ located to the left or to the right of the midpoint n/2?
- Consider f(0) = 5, f(1) = 3, f(3) = 5, f(4) = 12.
- Use the Newton formula to obtain p3(f;x);
- The data suggest that f has a minimum in x ∈ (1,3). Find an approximate value for the location xmin of the minimum. V. Consider f(x) = x7.
- Compute f[0,1,1,1,2,2].
- We know that this divided difference is expressible in terms of the 5th derivative of f evaluated at some ξ ∈ (0,2). Determine ξ.
- f is a function on [0,3] for which one knows that f(0) = 1,f(1) = 2,f0(1) = −1,f(3) = f0(3) = 0.
- Estimate f(2) using Hermite interpolation.
- Estimate the maximum possible error of the above answer if one knows, in addition, that f ∈ C5[0,3] and |f(5)(x)| ≤ M on [0,3]. Express the answer in terms of M.
- Define forward difference by
∆f(x) = f(x + h) − f(x),
∆k+1f(x) = ∆∆kf(x) = ∆kf(x + h) − ∆kf(x)
and backward difference by
∇f(x) = f(x) − f(x − h),
∇k+1f(x) = ∇∇kf(x) = ∇kf(x) − ∇kf(x − h).
Prove
∆kf(x) = k!hkf[x0,x1,…,xk],
∇kf(x) = k!hkf[x0,x−1,…,x−k], where xj = x + jh.
- ∗ Assume f is differentiable at x0. Prove
.



