Material:
8.3.1 Let A-(aij) E R(n, n be a positive matrix and r > 0 the Perron- Frobenius eigenvalue of A. Show that r satisfies the estimate (8.3.27) min l
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Material: 8.3.2 Consider the matrix (1 2 3 A-2 3 1 (8.3.28) (i) Use (8.3.27) to find the dominant eigenvalue of A. (ii) Check to see that u-(1 , I , î ), is a positive eigenvector of A. Use 11 and T...
definition of Markov matrix and related theorems are showed below 8.4.2Show that the matrix (8.4.21) is a Markov matrix which is not regular. Is A stable? Definition 8.7 Let A = (aij) A satisfies R(n...
definition of Markov matrix
and related theorems are showed below
8.4.2Show that the matrix (8.4.21) is a Markov matrix which is not regular. Is A stable? Definition 8.7 Let A = (aij) A satisfies R(n, n) so that aij-0 for i, j = I, . . . , n. If j-1 243 8.4 Markov matrices that is, the components of each row vector in A sum up to 1, then A is called a Markov or stochastic matrix. If there...
(b) The matrix B= 1 2 2 3 3 1 3 2 4 has eigenvalues 7,2,...
(b) The matrix B= 1 2 2 3 3 1 3 2 4 has eigenvalues 7,2, -1. i. Find a column and a row eigenvector of B corresponding to the Perron eigenvalue. ii. Find a rank one nonnegative matrix C such that the matrix B+C will have eigenvalues 13, 2, -1. iii. Let a and B be real numbers. Calculate the eigenvalues of D(a, b) = aB+ BC. iv. Find limno(+B)"
2. Use the spectral decomposition (in reverse) to find the matrix A such that (1,-1,1) is an eigenvector with eigenvalue 2, and (2, 3, 1) and (4,-1,5) are eigenvectors with eigenvalue-3. 2. Use...
2. Use the spectral decomposition (in reverse) to find the matrix A such that (1,-1,1) is an eigenvector with eigenvalue 2, and (2, 3, 1) and (4,-1,5) are eigenvectors with eigenvalue-3.
2. Use the spectral decomposition (in reverse) to find the matrix A such that (1,-1,1) is an eigenvector with eigenvalue 2, and (2, 3, 1) and (4,-1,5) are eigenvectors with eigenvalue-3.
(a) Find the eigenvalues of the matrix 4) 2 1' and find an eigenvector corresponding to each eigenvalue. Hence find an invertible matrix, P, and a diagonal matrix, D, such that P-1AP = D. (b) Use...
(a) Find the eigenvalues of the matrix 4) 2 1' and find an eigenvector corresponding to each eigenvalue. Hence find an invertible matrix, P, and a diagonal matrix, D, such that P-1AP = D. (b) Use your result from (a) to find the functions f(t) and g(t) such that f(t)-f(t) +2g(t) g(t) 2f(t) g(t), where f(0)-1 and g(0)-2 (c) Now suppose that f(0)-α and g(0) β. Determine the condition(s) on α and β that must hold if, as t,t is...
2 (5 points) Recalled that null space of a matrix A € Mnxn is defined as...
2 (5 points) Recalled that null space of a matrix A € Mnxn is defined as N(A) = {r € R” : Ar =0}. Now, the eigenspace of A corresponding to the eigenvalue 1 (denoted by Ex(A)) is defined as the nullspace of A-XI, that is, EX(A) = N(A – XI) = {v ER”: (A – XI)v = 0}. You should have three distinct eigenvalues in Problem 1 above. Let say there are li, 12, and 13. (i) Find the...
alue problem yn value) +13y=0, y(0)=3.y (0)-Owe use the To solve an initial v eigenvalue method. (Complex eigenvalue 1. I) Convert the equation into a first order linear system 2) Write the syste...
alue problem yn value) +13y=0, y(0)=3.y (0)-Owe use the To solve an initial v eigenvalue method. (Complex eigenvalue 1. I) Convert the equation into a first order linear system 2) Write the system in the matrix form: 3) Find the eigenvalues: 4) Find associated eigenvector(s): 5) Write the general solution of the system figure out the c and c2 To find the particular soluion 6) 2 7) Find the particular solution of the system 8) Write the particular solution of...
12. Consider the unusual eigenvalue problem ux(0) = ur(l) = v(1)-U(0) (a) Show that 2 0 is a double eigenvalue. (b) Get an equation for the positive eigenvalues a>0. 102 CHAPTER 4 BOUNDARY PROBLEM...
12. Consider the unusual eigenvalue problem ux(0) = ur(l) = v(1)-U(0) (a) Show that 2 0 is a double eigenvalue. (b) Get an equation for the positive eigenvalues a>0. 102 CHAPTER 4 BOUNDARY PROBLEMS (c) Letting γ-IVA, reduce the equation in part (b) to the equation γ sin γ cos γ = sin (d) Use part (c) to find half of the eigenvalues explicitly and half of (e) Assuming that all the eigenvalues are nonnegative, make a list of (t)...
How to use the previous answer of 1 a) i ii iii to find the eigenvalue...
How to use the previous answer of 1 a) i ii iii to find the
eigenvalue from iv
Mock Exam 2019 SEM 1 1. (a) Given the system of linear equations x- 2y +2z= 1, 2x+y+ 5z = 7, 2x-9y3z = -3 i. Write the system in augmented matrix form [A -b) and apply Gaussian elimination to reduce this to row echelon form. ii. Identify the basic and free variables iii. Write down the solution space for this system of...
4. Consider the following matrix [1 0 -27 A=000 L-2 0 4] (a) (3 points) Find...
4. Consider the following matrix [1 0 -27 A=000 L-2 0 4] (a) (3 points) Find the characteristic polynomial of A. (b) (4 points) Find the eigenvalues of A. Give the algebraic multiplicity of each eigenvalue (c) (8 points) Find the eigenvectors corresponding to the eigenvalues found in part (b). (d) (4 points) Give a diagonal matrix D and an invertible matrix P such that A = PDP-1 (e) (6 points) Compute P-and verify that A= PDP- (show your steps).
What is the differance between these two questions and how I can defer between them to know which theorem I should use while solving question to find matrix A Theorem 2: lf S={5-s,, , s. and R={...
What is the differance between these two questions and how I
can defer between them to know which theorem I should use while
solving question to find matrix A
Theorem 2: lf S={5-s,, , s. and R={万佐, ,r;"} are ordered bases for vector spaces V and W respectively, then corresponding to each linear transformation L from V →W , there is an m x n matrix A such that for each ve V·A is the matrix representing L relative to...
definition of Markov matrix
and related theorems are showed below
8.4.2Show that the matrix (8.4.21) is a Markov matrix which is not regular. Is A stable? Definition 8.7 Let A = (aij) A satisfies R(n, n) so that aij-0 for i, j = I, . . . , n. If j-1 243 8.4 Markov matrices that is, the components of each row vector in A sum up to 1, then A is called a Markov or stochastic matrix. If there...
(b) The matrix B= 1 2 2 3 3 1 3 2 4 has eigenvalues 7,2, -1. i. Find a column and a row eigenvector of B corresponding to the Perron eigenvalue. ii. Find a rank one nonnegative matrix C such that the matrix B+C will have eigenvalues 13, 2, -1. iii. Let a and B be real numbers. Calculate the eigenvalues of D(a, b) = aB+ BC. iv. Find limno(+B)"
2. Use the spectral decomposition (in reverse) to find the matrix A such that (1,-1,1) is an eigenvector with eigenvalue 2, and (2, 3, 1) and (4,-1,5) are eigenvectors with eigenvalue-3.
2. Use the spectral decomposition (in reverse) to find the matrix A such that (1,-1,1) is an eigenvector with eigenvalue 2, and (2, 3, 1) and (4,-1,5) are eigenvectors with eigenvalue-3.
(a) Find the eigenvalues of the matrix 4) 2 1' and find an eigenvector corresponding to each eigenvalue. Hence find an invertible matrix, P, and a diagonal matrix, D, such that P-1AP = D. (b) Use your result from (a) to find the functions f(t) and g(t) such that f(t)-f(t) +2g(t) g(t) 2f(t) g(t), where f(0)-1 and g(0)-2 (c) Now suppose that f(0)-α and g(0) β. Determine the condition(s) on α and β that must hold if, as t,t is...
2 (5 points) Recalled that null space of a matrix A € Mnxn is defined as N(A) = {r € R” : Ar =0}. Now, the eigenspace of A corresponding to the eigenvalue 1 (denoted by Ex(A)) is defined as the nullspace of A-XI, that is, EX(A) = N(A – XI) = {v ER”: (A – XI)v = 0}. You should have three distinct eigenvalues in Problem 1 above. Let say there are li, 12, and 13. (i) Find the...
alue problem yn value) +13y=0, y(0)=3.y (0)-Owe use the To solve an initial v eigenvalue method. (Complex eigenvalue 1. I) Convert the equation into a first order linear system 2) Write the system in the matrix form: 3) Find the eigenvalues: 4) Find associated eigenvector(s): 5) Write the general solution of the system figure out the c and c2 To find the particular soluion 6) 2 7) Find the particular solution of the system 8) Write the particular solution of...
12. Consider the unusual eigenvalue problem ux(0) = ur(l) = v(1)-U(0) (a) Show that 2 0 is a double eigenvalue. (b) Get an equation for the positive eigenvalues a>0. 102 CHAPTER 4 BOUNDARY PROBLEMS (c) Letting γ-IVA, reduce the equation in part (b) to the equation γ sin γ cos γ = sin (d) Use part (c) to find half of the eigenvalues explicitly and half of (e) Assuming that all the eigenvalues are nonnegative, make a list of (t)...
How to use the previous answer of 1 a) i ii iii to find the
eigenvalue from iv
Mock Exam 2019 SEM 1 1. (a) Given the system of linear equations x- 2y +2z= 1, 2x+y+ 5z = 7, 2x-9y3z = -3 i. Write the system in augmented matrix form [A -b) and apply Gaussian elimination to reduce this to row echelon form. ii. Identify the basic and free variables iii. Write down the solution space for this system of...
4. Consider the following matrix [1 0 -27 A=000 L-2 0 4] (a) (3 points) Find the characteristic polynomial of A. (b) (4 points) Find the eigenvalues of A. Give the algebraic multiplicity of each eigenvalue (c) (8 points) Find the eigenvectors corresponding to the eigenvalues found in part (b). (d) (4 points) Give a diagonal matrix D and an invertible matrix P such that A = PDP-1 (e) (6 points) Compute P-and verify that A= PDP- (show your steps).
What is the differance between these two questions and how I
can defer between them to know which theorem I should use while
solving question to find matrix A
Theorem 2: lf S={5-s,, , s. and R={万佐, ,r;"} are ordered bases for vector spaces V and W respectively, then corresponding to each linear transformation L from V →W , there is an m x n matrix A such that for each ve V·A is the matrix representing L relative to...
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