Question

In: Advanced Math

Consider an orthogonal matrix Q ∈ R ^m×m and a diagonal matrix with non-zero diagonal elements...

Consider an orthogonal matrix Q ∈ R ^m×m and a diagonal matrix with non-zero diagonal elements D ∈ R^ m×m and answer the True— False questions below.

(k) Any vector x ∈ R^m can be written as a linear combination of the columns of D

(l) The columns of Q span R^m

(m) The columns of D span R^m

(n) The columns of Q are a basis for R^m

(o) The columns of D are a basis for R^m

Solutions

Expert Solution

(k) Since the diagonal entries in are non-zero, the columns are non-zero multiples of the standard basis vectors. Therefore, they form a basis of . In particular, can be written as a linear combination of columns of . (TRUE)

(l) Since the matrix is orthogonal, it is invertible; therefore, the columns are linearly independent and there are columns, hence they form a basis for . In particular, they span . (TRUE)

(m) Since the diagonal entries in are non-zero, the columns are non-zero multiples of the standard basis vectors. Therefore, they form a basis of . In particular, can be written as a linear combination of columns of . (TRUE)

(n) Since the matrix is orthogonal, it is invertible; therefore, the columns are linearly independent and there are columns, hence they form a basis for . (TRUE)

(o) Since the diagonal entries in are non-zero, the columns are non-zero multiples of the standard basis vectors. Therefore, they form a basis of . In particular, can be written as a linear combination of columns of . (TRUE)


Related Solutions

Orthogonally diagonalize the matrix by finding an orthogonal matrix Q and a diagonal matrix D such...
Orthogonally diagonalize the matrix by finding an orthogonal matrix Q and a diagonal matrix D such that QTAQ = D. (Enter each matrix in the form [[row 1], [row 2], ...], where each row is a comma-separated list.) A = 5 0 0 0 1 3 0 3 1 (D, Q) = $$ Incorrect: Your answer is incorrect. Submission 2(0/1 points)Monday, November 25, 2019 10:01 PM CST Orthogonally diagonalize the matrix by finding an orthogonal matrix Q and a diagonal...
(a) Find the matrix representation for the orthogonal projection Pr : R 4 → R 4...
(a) Find the matrix representation for the orthogonal projection Pr : R 4 → R 4 onto the plane P= span 1 -1 -1 1 -1 -1 1 1 (b) Find the distance of vector ~y = 2 0 0 4 from the plane P.
Find a nonzero vector orthogonal to the plane through the points P, Q, and R
  Consider the points below.                                    P(0, -3,0), Q(5,1,-2), R(5, 2, 1)    (a) Find a nonzero vector orthogonal to the plane through the points P, Q, and R.    (b) Find the area of the triangle PQR. (Recall the area of a triangle is one-half the area of the parallelogram.)
Consider a uniform density sphere of mass M and radius R in hydrostatic equilibrium with zero...
Consider a uniform density sphere of mass M and radius R in hydrostatic equilibrium with zero surface pressure. Derive expressions for the pressure P(r) and the gravitational potential phi(r) in terms of r, M, R, G and constants.
Let A be a m × n matrix with entries in R. Recall that the row...
Let A be a m × n matrix with entries in R. Recall that the row rank of A means the dimension of the subspace in RN spanned by the rows of A (viewed as vectors in Rn), and the column rank means that of the subspace in Rm spanned by the columns of A (viewed as vectors in Rm). (a) Prove that n = (column rank of A) + dim S, where the set S is the solution space...
If A is the matrix for projecting onto a plane S in R³, then the eigenvalues of A in non- decreasing order are:
If A is the matrix for projecting onto a plane S in R³, then the eigenvalues of A in non- decreasing order are:
How to proof: Matrix A have a size of m×n, and the rank is r. How...
How to proof: Matrix A have a size of m×n, and the rank is r. How can we rigorous proof that the dimension of column space are always equal to the dimensional of row space? (I can use many examples to show this work, but how to proof rigorously?)
Q3. Consider the matrix A . Use R statistical software to determine the eigenvalues and normalized...
Q3. Consider the matrix A . Use R statistical software to determine the eigenvalues and normalized eigenvectors of A, trace of A, determinant of A, and inverse of A. Also determine the eigenvalues and normalized eigenvectors of A-1. Your answer should include your R code (annotated with comments) and a hand-written or typed summary of the answers from the R output.
let A be a real matrix of size M*N.,assume that nullity (A^T* A)=r. Find the range...
let A be a real matrix of size M*N.,assume that nullity (A^T* A)=r. Find the range of values that 'r' can take using values of 'M' and 'N'. also find the nullity (A^T)
Consider a spherical shell of mass density ?m = (A/r) exp[ -(r/R)2], where A = 4...
Consider a spherical shell of mass density ?m = (A/r) exp[ -(r/R)2], where A = 4 x 104 kg m-2. The inner and outer shell radii are 3R and 4R respectively where R = 6 x 106. Find the inward gravitational acceleration on a particle of mass mp at a position of 4R. The spherical di erent is dV = r2 dr sin? d? d?. A) 9.00 m/s2 B) 2.36 m/s2 C) 9.3 m/s2 D) 2.3 m/s2 E) 3.00 m/s2
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT