(b) Use Newton's method with Digits = 80 and x[0] = 2 to solve the equation 1 + sin(2 x) = x. How many digits are correct in each iteration until x[n+1]=x[n] (to the given accuracy)?
(c) Newton's method converges much more slowly when f' is 0 at the solution. Why? Consider f(x) = (x-1)^3 and start with x[0] = 2. Find a formula for x[n]. How does the number of correct digits change with each iteration? How many are needed to get the root correct to 10 decimal places?
(d) For an example with even slower convergence, try
f(x) = { x^(1/x) for x > 0
{ 0 for x <= 0
with x[0] = 1/2. When is x[n] < 1/10?2. (a) Find a polynomial for which Newton's method started with x[0] = 0 has a stable 3-cycle.
(b) Find the largest interval containing 0 for which you can be sure that Newton's method, starting with x[0] in this interval, is attracted to the 3-cycle.
3. Consider the equations
x^3 + 3 x y^3 - y = 0
x^2 y^2 - 2 x^3 - 3 y^3 = 4
(a) Use implicitplot
to plot the curves for -5 <= x <= 5
and -5 <= y <= 5. Where do the intersections appear to be?
(b) Use fsolve to find numerical values for the intersections
you found in (a).
(c) With the help of resultant, find all real solutions of
the equations.
One of the solutions may be a surprise. Why?
(d) Use solve to find all real solutions of the equations.
Compare the results to those of (c). A higher setting of Digits
is needed to obtain accurate numerical results this way. Why?
(e) Use Newton's method to find a solution to the equations. Start at a point whose coordinates are small integers.
(f) Find a point (x[0],y[0]) with |x[0]| < 1 and |y[0]| < 1 such that if Newton's method is started at this point, the next point (x[1], y[1]) will be at (or very close to) the solution of the equations that is farthest from the origin.
4. Complete the Optimization on a Restricted Domain example in Lesson 14 by finding
