1. Let a,b,c,d be row vectors and form the matrix A whose rows
are a,b,c,d. If...
1. Let a,b,c,d be row vectors and form the matrix A whose rows
are a,b,c,d. If by a sequence of row operations applied to A we
reach a matrix whose last row is 0 (all entries are 0) then:
a. a,b,c,d are linearly dependent
b. one of a,b,c,d must be 0.
c. {a,b,c,d} is linearly independent.
d. {a,b,c,d} is a basis.
2. Suppose a, b, c, d are vectors in R4 . Then they form a...
1. Find the orthogonal projection of the matrix
[[3,2][4,5]] onto the space of diagonal 2x2 matrices...
1. Find the orthogonal projection of the matrix
[[3,2][4,5]] onto the space of diagonal 2x2 matrices of the form
lambda?I.
[[4.5,0][0,4.5]] [[5.5,0][0,5.5]] [[4,0][0,4]] [[3.5,0][0,3.5]] [[5,0][0,5]] [[1.5,0][0,1.5]]
2. Find the orthogonal projection of the matrix
[[2,1][2,6]] onto the space of symmetric 2x2 matrices of trace
0.
[[-1,3][3,1]] [[1.5,1][1,-1.5]] [[0,4][4,0]] [[3,3.5][3.5,-3]] [[0,1.5][1.5,0]] [[-2,1.5][1.5,2]] [[0.5,4.5][4.5,-0.5]] [[-1,6][6,1]] [[0,3.5][3.5,0]] [[-1.5,3.5][3.5,1.5]]
3. Find the orthogonal projection of the matrix
[[1,5][1,2]] onto the space of anti-symmetric 2x2
matrices.
[[0,-1] [1,0]] [[0,2] [-2,0]] [[0,-1.5]
[1.5,0]] [[0,2.5] [-2.5,0]] [[0,0]
[0,0]] [[0,-0.5] [0.5,0]] [[0,1] [-1,0]]
[[0,1.5] [-1.5,0]] [[0,-2.5]
[2.5,0]] [[0,0.5] [-0.5,0]]
4. Let p be the orthogonal projection of
u=[40,-9,91]T onto the...
5. Suppose A is an n × n matrix, whose entries are all real
numbers, that...
5. Suppose A is an n × n matrix, whose entries are all real
numbers, that has n distinct real eigenvalues. Explain why R n has
a basis consisting of eigenvectors of A. Hint: use the “eigenspaces
are independent” lemma stated in class.
6. Unlike the previous problem, let A be a 2 × 2 matrix, whose
entries are all real numbers, with only 1 eigenvalue λ. (Note: λ
must be real, but don’t worry about why this is true)....
The stochastic group Σ(2, ℝ) consists of all those matrices in
GL(2, ℝ) whose column sums...
The stochastic group Σ(2, ℝ) consists of all those matrices in
GL(2, ℝ) whose column sums are 1; that is, Σ(2, ℝ) consists of all
the nonsingular matrices
[a c]
[b d] with a + b = 1 = c + d
Prove that the product of two stochastic matrices is again
stochastic, and that the inverse of a stochastic matrix is
stochastic. [abstract algebra] NOTE: the [a c] and [b d] is
supposed to be a 2x2 matrix with...