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I Consider the non-symmetric matrix (2) Show that a, = -1, 2, =23 (6) Find a...
Exercise 2 Consider the symmetric matrix A a13 23 012 a13 023 , the quadratic form...
Exercise 2 Consider the symmetric matrix A a13 23 012 a13 023 , the quadratic form .q(z) = z'Az, associated T2 T3 1. Show that for x = with the symmetric matrix A is 2. Using the result from question (1), find the matrix associated with the quadratic forms below. Assumed that x is in IR3
Linear Algebra: Show that for each i = 1, ..., n there is a natural number p. j- 1v1, . . . , Vnf is a canonical Let be...
Linear Algebra: Show that for each i = 1, ..., n there is a
natural number p.
j- 1v1, . . . , Vnf is a canonical Let be a linear operator on V and Jordan basis, ie. ΤΊβ is a canonical Jordan form. Show that for each i-1, . . . ,n there is some p є N such that (T-ÀI)" (vi-0, where is the diagonal entry of the matrix [T]β on the ith column.
j- 1v1, . ....
1 — 0 1 1 [R |d 1 Consider the augmented matrix [A | b) and...
1 — 0 1 1 [R |d 1 Consider the augmented matrix [A | b) and its reduced row echelon form [Ra]: 2 -2 0 23 6 0 4 0 7 / 4 -1 -1 0-15 | -5 row operations -3 0 [ A ] b] = 81 -2 -4 4 -35-10 0 0 0 11 12 3 6 -60 69 18 0 0 0 0 0 1 0 (a) Write the vector form of the general solution to the...
(1 Consider the symmetric matrix A = 2 10 2 0 2 2 1. Answer the...
(1 Consider the symmetric matrix A = 2 10 2 0 2 2 1. Answer the following questions. 2 3 (1) Find the eigenvalues , , and iz (2 <, <1z) of the matrix A and their corresponding eigenvectors. (2) Find the orthogonal matrix B and its inverse matrix B' that satisfy the following equation: (4 0 0 B-'AB = 0 0 lo o 2) (3) Suppose that the real vectors y and 9 satisfy the following relationship: Show that...
using the technique pictured, find the controllable canonical form of In this section we shall first...
using the technique pictured, find the controllable
canonical form of
In this section we shall first review technlqes into canonical forms. Then we shall review the invariance property of the Consider conditions for the controllability matrix and observability matrix orming State-Space Equations Into Canonical forms. crete-time state equation and output equation x(k +1) Gx(k) + Hu(k) y(k) Cx(k) + Du(k) We shall review techniques for transforming the state-s (6-30) (6-31) pace equations defined by Equations (6-30) and (6-31) into the...
2. Consider the matrix [23] A = [ 4 6+ (i) Calculate the inverse matrix exactly....
2. Consider the matrix [23] A = [ 4 6+ (i) Calculate the inverse matrix exactly. (ii) Calculate the condition number on = ||A ||||A||. 2 (iii) Use the inverse to solve A,, x = b exactly, for b = || to solve 1, x = b exactly for = [ ] and v= [ * -s). Comment on the and b 4- 1. Comment on the 1 results.
1: 1 131 2 Given matrix A 2 2 2. matrix P and I S set 2. a) Show that matrix P diaqonalizes A and find D(diagonal m...
1: 1 131 2 Given matrix A 2 2 2. matrix P and I S set 2. a) Show that matrix P diaqonalizes A and find D(diagonal matnx) that matches. 6) Find the eigen values of A Observe that the columns of P form set S c) orthogonal Set using the inner product standard show that set S is not an Use the Gram- Schmidt process to get an orthonormal set from S using inner product standard
1: 1 131...
Consider the singular value decomposition (svd) of a symmetric matrix, A- UAU Show that for any...
Consider the singular value decomposition (svd) of a symmetric matrix, A- UAU Show that for any integer, n, An-UNU. Argue that for a psd matrix A, there must exist a square root matrix, A-such that 1/2 1/2 A 1/2
Use R programming to solve Q2. A matrix operator H(G; k) on a pxp symmetric matrix G (iy)- with a positive integer parameter k (k < p) yields another p×p symmetric matrix H = (hij 1 with i=k,j...
Use R programming to solve
Q2. A matrix operator H(G; k) on a pxp symmetric matrix G (iy)- with a positive integer parameter k (k < p) yields another p×p symmetric matrix H = (hij 1 with i=k,j = k; (a) Use one single loop to construct the function H(G; k) in R (b) Generate a random matrix X of dimension 7x5, each element of which is id from N(0,1). Use the function H(G; k constructed in (a) to compute...
Consider the following hermitian matrix: a) Calculate the trace and the determinant of this matrix. b)...
Consider the following hermitian matrix: a) Calculate the trace and the determinant of this matrix. b) Find the eigenvalues and compare their product and sum to the determinant and trace respectively. (It is a general result for any matrix that can be diagonalized, that the trace of a matrix is equal to the sum of its eigenvalue:s and that the determinant of a diagonalizable matrix is equal to the product of its eigenvalues. If these conditions are satisfied, you can...
Exercise 2 Consider the symmetric matrix A a13 23 012 a13 023 , the quadratic form .q(z) = z'Az, associated T2 T3 1. Show that for x = with the symmetric matrix A is 2. Using the result from question (1), find the matrix associated with the quadratic forms below. Assumed that x is in IR3
Linear Algebra: Show that for each i = 1, ..., n there is a
natural number p.
j- 1v1, . . . , Vnf is a canonical Let be a linear operator on V and Jordan basis, ie. ΤΊβ is a canonical Jordan form. Show that for each i-1, . . . ,n there is some p є N such that (T-ÀI)" (vi-0, where is the diagonal entry of the matrix [T]β on the ith column.
j- 1v1, . ....
1 — 0 1 1 [R |d 1 Consider the augmented matrix [A | b) and its reduced row echelon form [Ra]: 2 -2 0 23 6 0 4 0 7 / 4 -1 -1 0-15 | -5 row operations -3 0 [ A ] b] = 81 -2 -4 4 -35-10 0 0 0 11 12 3 6 -60 69 18 0 0 0 0 0 1 0 (a) Write the vector form of the general solution to the...
(1 Consider the symmetric matrix A = 2 10 2 0 2 2 1. Answer the following questions. 2 3 (1) Find the eigenvalues , , and iz (2 <, <1z) of the matrix A and their corresponding eigenvectors. (2) Find the orthogonal matrix B and its inverse matrix B' that satisfy the following equation: (4 0 0 B-'AB = 0 0 lo o 2) (3) Suppose that the real vectors y and 9 satisfy the following relationship: Show that...
using the technique pictured, find the controllable
canonical form of
In this section we shall first review technlqes into canonical forms. Then we shall review the invariance property of the Consider conditions for the controllability matrix and observability matrix orming State-Space Equations Into Canonical forms. crete-time state equation and output equation x(k +1) Gx(k) + Hu(k) y(k) Cx(k) + Du(k) We shall review techniques for transforming the state-s (6-30) (6-31) pace equations defined by Equations (6-30) and (6-31) into the...
2. Consider the matrix [23] A = [ 4 6+ (i) Calculate the inverse matrix exactly. (ii) Calculate the condition number on = ||A ||||A||. 2 (iii) Use the inverse to solve A,, x = b exactly, for b = || to solve 1, x = b exactly for = [ ] and v= [ * -s). Comment on the and b 4- 1. Comment on the 1 results.
1: 1 131 2 Given matrix A 2 2 2. matrix P and I S set 2. a) Show that matrix P diaqonalizes A and find D(diagonal matnx) that matches. 6) Find the eigen values of A Observe that the columns of P form set S c) orthogonal Set using the inner product standard show that set S is not an Use the Gram- Schmidt process to get an orthonormal set from S using inner product standard
1: 1 131...
Consider the singular value decomposition (svd) of a symmetric matrix, A- UAU Show that for any integer, n, An-UNU. Argue that for a psd matrix A, there must exist a square root matrix, A-such that 1/2 1/2 A 1/2
Use R programming to solve
Q2. A matrix operator H(G; k) on a pxp symmetric matrix G (iy)- with a positive integer parameter k (k < p) yields another p×p symmetric matrix H = (hij 1 with i=k,j = k; (a) Use one single loop to construct the function H(G; k) in R (b) Generate a random matrix X of dimension 7x5, each element of which is id from N(0,1). Use the function H(G; k constructed in (a) to compute...
Consider the following hermitian matrix: a) Calculate the trace and the determinant of this matrix. b) Find the eigenvalues and compare their product and sum to the determinant and trace respectively. (It is a general result for any matrix that can be diagonalized, that the trace of a matrix is equal to the sum of its eigenvalue:s and that the determinant of a diagonalizable matrix is equal to the product of its eigenvalues. If these conditions are satisfied, you can...
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