Numerical Analysis
3rd Edition
ISBN: 9780134696454
Author: Sauer, Tim
Publisher: Pearson,
expand_more
expand_more
format_list_bulleted
Question
Chapter 12.1, Problem 8E
a.
To determine
To find: The Eigen value to which the inverse power iteration with the given shift s will converge and determine convergence rate constant.
b.
To determine
To find: The Eigen value to which the inverse power iteration with the given shift s will converge and determine convergence rate constant.
c.
To determine
To find: The Eigen value to which the inverse power iteration with the given shift s will converge and determine convergence rate constant.
d.
To determine
To find: The Eigen value to which the inverse power iteration with the given shift s will converge and determine convergence rate constant.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
Suppose the 3 x 3 matrix A has eigenvalues A₁ = -6, A₂ = -2, and A3 = 5.
(a) Let u be randomly chosen vector in R³. Set
and for k> 0 set
xo
V
||v||'
Xo = xo Axo
Ark
Fk+1 =
Xk+1
||Axk||¹
i. What number do you expect A to converge to?
1¹Axk+1
=Xk+1
ii. What number do you expect ||Ark - A|| to converge to?
iii. For large k, æ, is approximately an eigenvector corresponding to which eigenvalue of A?
(1)
(2)
plz solve it within 30-40 mins I'll give you multiple upvote
0, 1, 1, 3, 5, 11,.
A string of numbers starting with the numbers 0 and 1 is given above. For k> = 3, the previous two
terms in the series
The relation with the term can be expressed as ak=ak-1+2*ak-2
Using the eigenvalue vectors of the matrix A, calculate the 20th term of the array.
Chapter 12 Solutions
Numerical Analysis
Ch. 12.1 - Find the characteristic polynomial and the...Ch. 12.1 - Find the characteristic polynomial and the...Ch. 12.1 - Prob. 3ECh. 12.1 - Prove that a square matrix and its transpose have...Ch. 12.1 - Assume that A is a 33 matrix with the given...Ch. 12.1 - Assume that A is a 33 matrix with the given...Ch. 12.1 - Prob. 7ECh. 12.1 - Prob. 8ECh. 12.1 - Let A=[ 1243 ] . (a) Find all eigenvalues and...Ch. 12.1 - Let A=[ 2113 ] . Carry out the steps of Exercise 9...
Ch. 12.1 - If A is a 66 matrix with eigenvalues -6, -3, 1, 2,...Ch. 12.1 - Prob. 1CPCh. 12.1 - Prob. 2CPCh. 12.1 - Prob. 3CPCh. 12.1 - Prob. 4CPCh. 12.2 - Prob. 1ECh. 12.2 - Prob. 2ECh. 12.2 - Prob. 3ECh. 12.2 - Call a square matrix stochastic if the entries of...Ch. 12.2 - Prob. 5ECh. 12.2 - (a) Show that the determinant of a matrix in real...Ch. 12.2 - Decide whether the preliminary version of the QR...Ch. 12.2 - Prob. 8ECh. 12.2 - Prob. 1CPCh. 12.2 - Prob. 2CPCh. 12.2 - Prob. 3CPCh. 12.2 - Prob. 4CPCh. 12.2 - Prob. 5CPCh. 12.2 - Prob. 6CPCh. 12.2 - Prob. 7CPCh. 12.2 - Verify the page rank eigenvector p for Figure...Ch. 12.2 - Prob. 2SACh. 12.2 - Prob. 3SACh. 12.2 - Prob. 4SACh. 12.2 - Set q=0.15 . Suppose that Page 2 in the Figure...Ch. 12.2 - Prob. 6SACh. 12.2 - Design your own network, compute page ranks, and...Ch. 12.3 - Find the SVD of the following symmetric matrices...Ch. 12.3 - Prob. 2ECh. 12.3 - Prob. 3ECh. 12.3 - (a) Prove that the ui , as defined in Theorem...Ch. 12.3 - Prove that for any constants a and b, the nonzero...Ch. 12.3 - Prob. 6ECh. 12.3 - Prob. 7ECh. 12.3 - Prove that for any constants a and b, the nonzero...Ch. 12.4 - Use MATLAbS svd command to find the best rank-one...Ch. 12.4 - Prob. 2CPCh. 12.4 - Find the best least squares approximating line for...Ch. 12.4 - Find the best least squares approximating plane...Ch. 12.4 - Prob. 5CPCh. 12.4 - Continuing Computer Problem 5, add code to find...Ch. 12.4 - Use the code developed in Computer Problem 6 to...Ch. 12.4 - Import a photo, using MATLABs imread command. Use...
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, subject and related others by exploring similar questions and additional content below.Similar questions
- Find the eigenvalues and eigenvectors for the coefficient matrix.arrow_forwardFind the matrix to which P converges as n increases. n ان د ان 0.44444 0.44444 -* The matrix converges to 0.55555 0.55555 (Type an integer or decimal for each matrix element. Round to five decimal places as needed.)arrow_forward(4) Let {xn} be a sequence such that xn = 5xn-1+6xn-2, xı = -2, xo = 4. Use power of a suitable matrix to solve for xn.arrow_forward
- 3 Find the dominant eigenvalue, 2,, and its corresponding eigenvector, v, of matrix A using the power method. Use v0) = (1 0 1)" and stop the iteration until | m-m, < 0.0005. Then, find the smallest eigenvalue, â,, and its corresponding eigenvector, v, of matrix A by using the shifted power method for Q3 (a)-(d). 161 Eigenvalues (2 1 0) A = 1 2 1 1 2 1 -1 (а). (b). A = -2 4 -2 0 1 -1 -1 0 -2 1 (c). A = -1 4 (d). A = -2 2 2 -2 3 II 2.arrow_forwardQ: Find the eigenvalues of -2 -3 5- A= ー6 -| - 2arrow_forwardApply the inverse power method to approximate, for the matrix A , the eigenvalue that is smallest in magnitude. Use the given initial vector x0, k iterations, and three-decimal-place accuracyarrow_forward
- Apply the power method anyway with th e given initial vector x0, performing eight iterations in each case. Compute the exact eigenvalues and eigenvectors and explain what is happening.arrow_forwardFind the Eigenvalue(s) of the matrix Row 1: (-2,0,0,0) Row 2: (35,6,0,0) Row 3: (?,-12,4,0) Row 4: (8,?,0,-sqrt(2)) ?=number not givenarrow_forwardFind the eigenvalues of the following matrix: (:) H1 E where E, and e are positive, real constants. Then expand the eigenvalues in a Taylor series to second order in e, assuming e « E. This means that it can have a term independent of e, and/or a term linear in e, and/or a term quadratic but you're leaving out terms of order e3, e4, etc. Will your Taylor series approximation still work if E = 0? Why or why not? in E,arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Elementary Linear Algebra (MindTap Course List)AlgebraISBN:9781305658004Author:Ron LarsonPublisher:Cengage Learning
Elementary Linear Algebra (MindTap Course List)
Algebra
ISBN:9781305658004
Author:Ron Larson
Publisher:Cengage Learning
Lecture 46: Eigenvalues & Eigenvectors; Author: IIT Kharagpur July 2018;https://www.youtube.com/watch?v=h5urBuE4Xhg;License: Standard YouTube License, CC-BY
What is an Eigenvector?; Author: LeiosOS;https://www.youtube.com/watch?v=ue3yoeZvt8E;License: Standard YouTube License, CC-BY