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Let U and V be nxn orthogonal matrices. Explain why UV is an orthogonal matrix. [That...
Explain why the columns of an nxn matrix A are linearly independent when A is invertible Choose the correct answer below. O A. IFA is invertible, then for all x there is a b such that Ax=b. Since x = 0 is a solution of Ax0, the columns of A must be linearly independent OB. IA is invertible, then A has an inverse matrix A Since AA A AA must have linearly independent columns O C. If A is invertible,...
Let A and B be nxn matrices. Mark each statement true or false. Justify each answer. Complete parts (a) through (d) below. a. The determinant of A is the product of the diagonal entries in A. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A. The statement is false because the determinant of the 2x2 matrix A = is not equal to the product of the entries on the main...
5. (a) Explain why the standard inner product is invariant under an orthogonal trans formation. That is, if U is any orthogonal miatrix, and if u = Ux and v = Uy, then i.e. multiplication by an orthogonal matrix does not change the standard inner product. (b) Given any two vectors x. y in R", explain why the angle between them is Py invarient under an orthogonal transformation. That is, if u where P is an orthogonal matrix, thern Px...
Let А and B be similar nxn matrices. That is, we can write A = CBC- for some invertible matrix с Then the matrices A and B have the same eigenvalues for the following reason(s). A. Both А and A. Both А and B have the same characteristic polynomial. B. Since A = CBC-1 , this implies A = CC-B = IB = B and the matrices are equal. C. Suppose that 2 is an eigenvalue for the matrix B...
Prove that if matrix A is diagonalizable with n real eigenvalues λι, λ2-..,An, then AI-λιλ2" λπ. Complete the proof by justifying each step. There exists an invertible matrix P and a diagonal matrix D, such that P1AP -D. -JIAT O Determinant of a Matrix Product O Definition of the Inverse of a Matrix O Properties of the Identity Matrix O Determinant of a Triangular Matrix O Determinant of an Inverse Matrix O Definition of a Diagonalizable Matrix O Eigenvalues of...
Let A = Construct a 4x2 matrix D, using only 1 and 0 as entries, such that AD = I2. Is it possible that CA =I4 for some 4X2 matrix C? Explain. Is it possible that CA = I4 for some 4 x 2 matrix C? Explain. Choose the correct answer below. A. No, because neither C nor A are invertible. When writing lm as the product of two matrices, since lm is invertible, those two matrices will also be invertible. B. Yes, because...
Let V be the set of vectors shown below V. a. If u andare in Visvin V? Why? b. Find a specific vector u in V and a specific scalare such that cu is not in V. a. If u and are in V, is vin? O A The vector u ov must be in V because V is a subset of the vector space R? OB. The vector uv may or may not be in V depending on the...
True False a) For nxn A, A and AT can have different eigenvalues. b) The vector v 0 cannot be an eigenvector of A. c) If λ's an eigenvalue of A, then λ2 is an eigenvalue of A2. True False d) If A is invertible, then A is diagonalizable. e) If nxn A is singular, then Null(A) is an eigenspace of A. f) For nxn A, the product of the eigenvalues is the trace of A. True False g) If...
True or False 1. If u, v are vectors in R"and lu + v1l = ||||| + ||v||, then u and v are orthogonal. 2. If p locates a point on a line l in Rand if n # 0 is normal to l, then any other point x on I must satisfy n.x=n.p. 3. A binary vector is a vector with two components which are integers modulo 2. 4. The set of solution vectors to the linear system Ax=b...
IT a) If one row in an echelon form for an augmented matrix is [o 0 5 o 0 b) A vector bis a linear combination of the columns of a matrix A if and only if the c) The solution set of Ai-b is the set of all vectors of the formu +vh d) The columns of a matrix A are linearly independent if the equation A 0has If A and Bare invertible nxn matrices then A- B-'is the...