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Solutions to problem 1, 2, and 3 of a numerical analysis writing assignment. It derives an approximation for f'(x) using taylor expansions and the secant method. The document also explains how to write the secant method formula in an alternative form and discusses the implications of this form.
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Solution of Writing Assignment 04 Due Date: Thursday, 02/26/
Problem 1. Using Taylor expansions for f (x + h) and f (x + k), derive the following approximation to f ′(x): f ′(x) ≈ k^2 f (x + h) − h^2 f (x + k) + (h^2 − k^2 ) f (x) (k − h)kh
Answer: By Taylor’s Theorem
f (x + h) = f (x) + h f ′(x) +
f ′′(x)h^2 +
f ′′′(ξh)h^3
f (x + k) = f (x) + k f ′(x) +
f ′′(x)k^2 +
f ′′′(ξk)k^3 ,
where ξh is between x and x + h and ξk is between x and x + k. Multiply the first equation by k^2 and the second equation by h^2 and subtract one from the other yielding
k^2 f (x + h) − h^2 f (x + k) = (k^2 − h^2 ) f (x) + kh(k − h) f ′(x) +
( f ′′′(ξh) − f ′′′(ξk))(kh)^2 (k − h). (0.2)
Solve for f ′(x):
f ′(x) = k^2 f (x + h) − h^2 f (x + k) + (h^2 − k^2 ) f (x) (k − h)kh
( f ′′′(ξk) − f ′′′(ξh))(kh), (0.3)
from which we obtain the desired result.
Problem 2. If the Secant method is applied to f (x) = x^2 − 2 with x 0 = 0 and x 1 = 1, what is x 2? Answer: Using Secant Method we have
xn+ 1 = xn − xn − xn− 1 x^2 n − x^2 n− 1
(x^2 n − 2 )
= xn −
xn − xn− 1 (xn − xn− 1 )(xn + xn− 1 ) (x^2 n − 2 )
= xn − x^2 n − 2 xn + xn− 1
Using this relation we get
x 2 = x 1 − x^21 − 2 x 1 + x 0
Problem 4. Assume that r is a zero of multiplicity 2 of the polynomial p(x).
Answer: Notice the error equation associated with Newton’s method can be written as
en+ 1 = en − p(xn) p′(xn)
en p′(xn) − p(xn) p′(xn)
Moreover, by Taylor’s expansion
0 = p(r) = p(xn − en) = p(xn) − p′(xn)en +
p′′(sn)e^2 n 0 = p′(r) = p′(xn − en) = p′(xn) − p′′(tn)en,
each of them gives p′(xn)en − p(xn) =
p′′(sn)e^2 n p′(xn) = p′′(tn)en,
Putting these two expressions into the error equation yields
en+ 1 =
p′′(sn)e^2 n p′′(tn)en
[ (^) p′′(sn) 2 p′′(tn)
en. (0.10)
This last equation establishes the linear convergence of Newton’s method for finding a zero of multiplicity 2.
xn+ 1 = xn − 2 p(xn) p′(xn)
Prove that it converges quadratically to r. Hint: Appropriately use Taylor expansions p(xn) = p(r + en) and p′(xn) = p′(r + en). Answer: For this variation, the error equation becomes
en+ 1 = en − 2 p(xn) p′(xn)
en p′(xn) − 2 p(xn) p′(xn)
By Taylor’s expansion
p(xn) = p(r + en) = p(r) + p′(r)en +
p′′(r)e^2 n +
p′′′(zn)e^3 n
=
p′′(r)e^2 n +
p′′′(zn)e^3 n,
p′(xn) = p′(r + en) = p′(r) + p′′(r)en +
p′′′(wn)e^2 n
= p′′(r)en +
p′′′(wn)e^2 n.
Using these two we get
en p′(xn) − 2 p(xn) = p′′(r)e^2 n +
p′′′(wn)e^3 n − p′′(r)e^2 n −
p′′′(zn)e^3 n =
p′′′(wn) −
p′′′(zn)
e^3 n.
Furthermore, we also know that p′(xn) = p′(r + en) = p′(r) + p′′(an)en = p′′(an)en. Putting these last two identities to the error equation gives
en+ 1 =
1 2 p ′′′(wn) − 1 3 p ′′′(zn)
e^3 n p′′(an)en
1 2 p ′′′(wn) − 1 3 p ′′′(zn)
p′′(an) e^2 n. (0.14)
As the method converges, we know that wn → r, zn → r, and an → r, from which we deduce that
en+ 1 ≈
[ (^) p′′′(r) 6 p′′(r)
e^2 n, (0.15)
which is a statement of quadratic convergence.