2. (a) Suppose we have to find the root xof x); that is, we have to solve )0. Fixed-point methods do this by re-writing the equation in the form x·= g(x*) , and then using the iteration scheme : g...
2. (a) We want to find the root x of the function f(x); that is, we need f(r) = 0 . This can be done using Newton's method, making use of the iterative formula f(xn) Show that the sequence ofiterates (%) converges quadratically if f'(x) 0 in some appropriate interval of x-values near the root χ 9 point b) We can get Newton's method to find the k-th root of some number a by making it solve the non-linear cquation...
Suppose you want to find a fixed point of a smooth function g(x) on the interval [a,b] a. Give conditions which would be sufficient to show that fixed point iteration on g(x), starting with some [a,b], will converge to the fixed point p. b. When is this convergence only linear? c. When is this convergence only quadratic? d. Suppose a smooth function f(x) has a root p with f '(p) != 0. Assuming you choose the initial guess close enough...
gol The fixed-point iteration Pn+1 = g(P) converges to a fixed point p = 0 of g(x) = x for all 0 < po < 1. The order of convergence of the sequence {n} is a > 0 if there exists > O such that lim Pn+1-pl =X. -00 P -plº Use the definition (6) to find the order of convergence of the sequence in (5).
2. Consider g(x) (2 -x). Show that for all starting point ro E (0,2), the Picard's fixed-point iteration converges to the fixed point 1. Are sufficient conditions for convergence of Picard's iteration satisfied? 2. Consider g(x) (2 -x). Show that for all starting point ro E (0,2), the Picard's fixed-point iteration converges to the fixed point 1. Are sufficient conditions for convergence of Picard's iteration satisfied?
Please answer all questions Q2 2015 a) show that the function f(x) = pi/2-x-sin(x) has at least one root x* in the interval [0,pi/2] b)in a fixed-point formulation of the root-finding problem, the equation f(x) = 0 is rewritten in the equivalent form x = g(x). thus the root x* satisfies the equation x* = g(x*), and then the numerical iteration scheme takes the form x(n+1) = g(x(n)) prove that the iterations converge to the root, provided that the starting...
q = 4 Q2 Consider the equation x -3x'te0 (a) Write this equation as x =g(x) in three different forms. Apply convergence test to each of these forms. Which g(r) is more suitable for the fixed point iteration. (b) Compute first 4 iterations by taking x 1 and graph each value of x and g(x) to show convergence or divergence of the scheme. Find the fixed point of g(x) correct to 5 decimal digits using the following fixed point iteration...
Can you help me with parts A to D please? Thanks 3 Newton and Secant Method [30 pts]. We want to solve the equation f(x) 0, where f(x) = (x-1 )4. a) Write down Newton's iteration for solving f(x) 0. b) For the starting value xo 2, compute x c) What is the root ξ of f, i.e., f(5) = 0? Do you expect linear or quadratic order of convergence to 5 and why? d) Name one advantage of Newton's...
Solve the Taylor Series. 1. (a) Use the root test to find the interval of convergence of-1)* に0 (b) Demonstrate that the above is the taylor series of f()- by writing a formula for f via taylor's theorem at α-0. That is write f(x)-P(z) + R(x) where P(r) is the nth order taylor polynomial centered at a point a and the remainder term R(x) = ((r - a)n+1 for some c between z and a where here a 0. Show...
6. (a) Newton's method for approximating a root of an equation f(x) 0 (see Section 3.8) can be adapted to approximating a solution of a system of equations f(x, y) 0 and gx, y) 0. The surfaces z f(x, y) and z g(x, y) intersect in a curve that intersects the xy-plane at the point (r, s), which is the solution of the system. If an initial approxi- mation (xi, yı) is close to this point, then the tangent planes...
(a) Suppose we want to solve the linear vector-matrix equation Ax b for the vector x. Show that the Gauss elimination algorithm may be written bAbm,B where m 1, This process produces a matrix equation of the form Ux = g , in which matrix U is an upper-triangular matrix. Show that the solution vector x may be obtained by a back-substitution algorithm, in the form Jekel (b) Iterative methods for solving Ax-b work by splitting matrix A into two...