Question 1 3 pts [Before you attempt this problem, make sure you know about matrix and...
Question 2 3 pts [Before you attempt this problem, make sure you know about matrix and vector norms and their properties in Section 7.1] Let A3x4 be a given matrix and let V4x1 be a vector. Suppose we know that || A|| = 0.82, and ||0|| = [b], then we can conclude that ||Av|| <
Question 3 4 pts [Before you attempt this problem, make sure you know about matrix and vector norms and their properties in Section 7.1] Suppose x E R16, and we know that | x || . = 16.106. Then || x || 2 =
Question 4 3 pts [Before you attempt this problem, make sure you have learned about eigenvalues, eigenvectors, and the spectral radius in Section 7.2] Suppose we are given that a 3x3 Matrix A has eigenvalues 0.5, 2.10+16, and 2.10-16 Then the spectral radius of A equals
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(33 pts) This question is about the matrix = ſi 2 [3 2 0 4 1 6 3 1] 4 9 co (a) Find a lower triangular L and an upper triangular U so that A = LU. (b) Find the reduced row echelon form R = rref(A). How many independent columns in A? (c) If the vector b is the sum of the four columns of A, write down the complete solution to Ax = b
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Linorm.m Create a function Linorm which takes one argument, M a square matrix and computes the LI-norm of the matrix. This is a number associated to each square matrix M, denoted lIMll, as follows. For each column of the matrix we add together the absolute values of the entries in that column, and we then take the maximum of...
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IMPORTANT: I know the answer is given bellow, but I do have a
couple of conceptual things I'd like explained. I know it may be a
bit silly, but please explain to me what it means for a matrix to
be "linearly independent" and why the matrix (in this case) is not
linearly...
3. [Total: 8 pts) The purpose of this problem is to remind you of basic vector manipulation, and to get you familiar with the notation used in this class. Suppose a point charge q > 0 is at rest and located at position r = (2,3), in a two- dimensional Cartesian coordinate system (x,y). Suppose we want information about the electric field E at position r= (6,4). a) 2 pts) We will define the 'script-r' vector 1 =r-r'. Make a...
Problem 2. In this problem we consider the question of whether a small value of the residual kAz − bk means that z is a good approximation to the solution x of the linear system Ax = b. We showed in class that, kx − zk kxk ≤ kAkkA −1 k kAz − bk kbk . which implies that if the condition number kAkkA−1k of A is small, a small relative residual implies a small relative error in the solution....
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Problem 2.2 n and let X ε Rnxp be a full-rank matrix, and Assume p Note that H is a square n × n matrix. This problem is devoted to understanding the properties H Any matrix that satisfies conditions in (a) is an orthogonal projection matriz. In this problem, we will verify this directly for the H given in (1). Let V - Im(X). (b) Show that...