1. Let be the operator on whose matrix with respect to the standard basis is .
a) Verify the result of proof " is normal if and only if for all " for question 1. Note: stands for adjoint
b) Verify the result of proof "Orthogonal eigenvectors for normal operators" for question 1. The proof states suppose is normal then eigenvectors of corresponding to distinct eigenvalues are orthogonal.
1. Let be the operator on whose matrix with respect to the standard basis is . a) Verify the result of proof " is normal if and only if for all " for question 1. Note: stands for adjoint...
1. Let and . Find the eigenvalues of this matrix and determine if it is invertible. In other words, how does finding a basis of for which the matrix of is upper triangular help find the eigenvalues of and how does it help determine is is invertible? 2. Define by . Find all the eigenvalues and eigenvectors of . Note stands for either or . TE L(V) 0 0 8 We were unable to transcribe this imageWe were unable to...
3. Let T (V), and B be an orthonormal basis, so that M(T,B) (5+20 pts) Is T self-adjoint? Why/Why Not? (5+20 pts) Is T normal? Why/Why Not? . (10 pts/box with explanation) Now, let R E L(V) be a self-adjoint operator, SEL(V) a normal operator, and U E L(V) an operator that is neither self-adjoint nor normal; what properties do these operators have-mark R (if true only for F = R) / C (if true only for F = C)...
1. The radius of a cone can be found using the formula , where V stands for the volume of the cone and h stands for the height. If , , and is 3.14, find the volume (V). Round the answer to the nearest hundredths place. Answer options: 3,365.41 cubic units 66.99 cubic units 33.49 cubic units 133.97 cubic units 2. Use the Quadratic Formula to solve the equation . Answer options: or or or or 3. Which one of...
Consider the following second order linear operator: 82 with Notice, that if instead of 3 we had 2 there, we would get a Legendre operator (whose eigenfunctions are Legendre polynomials). But nothing can be further from it than the operator above. The eigenvalue/eigenfunction problem, emerged in the analysis of vibrations of a particular quant urn liquid. An eigenvalue λ corresponds to an excitation mode of frequency Ω = V The eigenfunction ψ(r) would give a spatial profile of the deviation...
Note that is the -Jordan block of size m with 's in the diagonal and 1 to the right of the diagonal. 3. A Mercator matrix is a matrix A E Matn,n(R) such that pA(x) = (x-aj (x-4) for some α' E R, which are not necessarily distinct, such that 0 < α' < 2. Let Mn(R) be the set of Mercator matrices. As in Tutorial 1, if A EM(R) define the logarithm of A to be the matrix given...
Question 4 Let X= 1 1 1 01 100, Y=00011100 What is the result of x VY? (write answer in binary, V means or) We were unable to transcribe this image
Prob 2. Let T be a normal operator on a complex finite-dimensional inner product space V whose distinct eigenvalues are λι, 'Ak E C. For any u E V such that llul-1, show that j-1 for some nonnegative numbers a,, j-1,.,k, that sum up to 1 Prob 2. Let T be a normal operator on a complex finite-dimensional inner product space V whose distinct eigenvalues are λι, 'Ak E C. For any u E V such that llul-1, show that...
2) Given 1 3 4 01 A2 4 -5 4 -3 1 -5 0 3 2 By result of Q1, (a) Verify that both Row(A) and Row(A) are subspaces of R5 (b) Verify that Col(A) is a subspace of , 4. Find the Row(A), Col(A) and Null(A) 1) Find the Row(A), Col(A) and Null(A) 1 3 -4 0 1 A 2 4 5 34 1 -5 0 -3 2 -3 1 8 3 -4 2) Given 1 3-4 0 1...
a) suppose that the nxn matrix A has its n eigenvalues arranged in decreasing order of absolute size, so that >>.... each eigenvalue has its corresponding eigenvector, x1,x2,...,xn. suppose we make some initial guess y(0) for an eigenvector. suppose, too, that y(0) can be written in terms of the actual eigenvectors in the form y(0)=alpha1.x1 +alpha2.x2 +...+alpha(n).x(n), where alpha1, alpha2, alpha(n) are constants. by considering the "power method" type iteration y(k+1)=Ay(k) argue that (see attached image) b) from an nxn...
Question 1 (10 points) Projection matrix and Normal equation: Consider the vectors v1 = (1, 2, 1), V2 = (2,4, 2), V3 = (0,1,0), and v4 = (3, 7,3). (a) (2 points) Obtain a basis for R3 that includes as many of these vectors as possible. (b) (4 points) Obtain the orthogonal projection matrices onto the plane V = span{v1, v3} and its perpendicular complement V+. (c) (2 points) Use this result to decompose the vector b= (-1,1,1) into a...