Quiz 6
Consider the 2 x 2 matrix [ 6 4 ] A = [ 2 4 ] The eigenspace of λ = 2 is spanned by what vector?
(1,-1)
Consider the 2 x 2 matrix [ 5 - 2 ] A = [ 1 2 ] The eigenspace of λ = 3 is spanned by what vector? (1, 5) (1, 1) (1, 2) (- 2, 1) (2, - 1) (5, 2)
(1,1)
A 2 x 2 matrix A has trace 6 and determinant 8. Its eigenvalues are 4 and 8 6 and 8 2 and 6 4 and 6 2 and 8 2 and 4
2 and 4
The eigenvalues of the 2 x 2 matrix [ 3 9 ] A = [ 0 4 ] are 3 and 9 4 and 9 3 and 4 3, 4, and 9
3 and 4
Let A be a 5 x 7 matrix with rank 3. Then dim Nul A is
4
Let A be a matrix with echelon form U. Which of the following statements is not correct? A and U have the same row space A and U have the same column rank A and U have the same column space A and U have the same row rank
A and U have the same column space
Elementary row operations cannot change Dependence relations between the columns of a matrix The column space of a matrix Dependence relations between the rows of a matrix
Dependence relations between the columns of a matrix
If a square matrix A is diagonalizable then P A P = D where P is an invertible matrix and D is a diagonal matrix
F
Le A be a square matrix. If x is in Nul (A - λ I) then (λ, x) is an eigenpair for A.
F
Let A be a square matrix with eigenvalue λ. The eigenspace of λ is the nullspace of A.
F
Let A be a square matrix with eigenvalue λ.Then A - λ I is invertible.
F
Let B and C be ordered bases of Rn. Let PB be the change-of-coordinates matrix from basis B to the standard basis E, and let PC be the change-of-coordinates matrix from basis C to the standard basis E. Applying GJ to [ PB | PC ] produces [ I | PB → C ] where I is the identity matrix and PB → C is the change-of-coordinates matrix from basis B to basis C.
F
Matrices that have the same eigenvalues are always similar
F
The characteristic polynomial of a square matrix is obtained by subtracting λ from each of its entries and then taking the determinant
F
The eigenspace of an eigenvalue always has dimension one
F
Let A be a square n x n matrix. Which of the following statements is not correct? If A has eigenvalue λ then Nul (A - λ I) is a non-trivial subspace of Rn The eigenvalues of A are the zeros of det (A - λ I) det (A - λ I) is a polynomial in λ of degree n If A has eigenvalue λ then A - λ I is singular If A has eigenpair (λ, x) then A x = λ x with λ a non-zero scalar and x a vector in Rn If x belongs to Nul (A - λ I) with x a non-zero vector then A has eigenpair (λ, x) If A has eigenvalue λ then det (A - λ I) = 0 If A has eigenpair (λ, x) then x belongs to Nul (A - λ I) If A has eigenpair (λ, x) then (λ, a x) is also an eigenpair for any non-zero scalar a
If A has eigenpair (λ, x) then A x = λ x with λ a non-zero scalar and x a vector in Rn
Let A be a matrix with echelon form U. Then dim Nul A is equal to the number of Non-zero rows in U Pivot columns in U Non-pivot columns in U Zero rows in U
Non-pivot columns in U
A square n x n matrix A is invertible if and only if Col A is all of Rn
T
A square n x n matrix A is invertible if and only if Nul A is the trivial subspace of Rn
T
A square n x n matrix A is invertible if and only if its columns form a basis for Rn
T
An invertible n x n matrix is always a change-of-coordinates matrix for some pair of ordered bases B and C of Rn
T
Let A be a square matrix with eigenpair (λ, x). Then x is in Nul (A - λ I).
T
Let A be a square matrix with eigenpairs (3, u) and (5, v). Then u and v are linearly independent.
T
Row equivalent matrices have the same row space
T
Similar matrices always have the same eigenvalues
T
Let V be a vector space with dim V = 2. Let B = {b1, b2} and C = {c1, c2} be two ordered bases for V with b1 = 3 c1 + 2 c2 and b2 = 5 c1 - 2 c2. Let PB → C be the change-of-coordinates matrix from basis B to basis C and let PC → B be the change-of-coordinates matrix from basis C to basis B. Then The columns of PC → B are (3, 2) and (5, - 2) The rows of PB → C are [3, 2] and [5, - 2] The rows of PC → B are [3, 2] and [5, - 2] The columns of PB → C are (3, 2) and (5, - 2)
The columns of PB → C are (3, 2) and (5, - 2)
Let V be a vector space with dim V = n. Let B and C be ordered bases for V. Let x be a vector in V. Let [x]B and [x]C be the coordinate vectors of x relative to the bases B and C, respectively. Let PB → C be the change-of-coordinates matrix from basis B to basis C. Which of the following statements is not correct? You Answered The inverse of PB → C is the change-of-coordinates matrix from basis C to basis B PB → C is an n x n matrix The columns of PB → C are the coordinate vectors for the elements of C relative to B [x]C = PB → C [x]B
The columns of PB → C are the coordinate vectors for the elements of C relative to B
Let A be a matrix with echelon form U. Which of the following is not equal to the others? The row rank of A The dimension of the null space of A The number of non-zero rows in U The column rank of A
The dimension of the null space of A
Let A be a matrix with echelon form U. Which of the following statements is correct? The non-zero columns of U form a basis for the null space of A The non-zero columns of U form a basis for the column space of A The non-zero rows of U form a basis for the row space of A
The non-zero rows of U form a basis for the row space of A
Let A be a matrix with echelon form U. Which of the following is a basis for the column space of A? The pivot columns of A The pivot columns of U The non-pivot columns of A The non-pivot columns of U
The pivot columns of A
Elementary row operations cannot change Dependence relations between the rows of a matrix The row space of a matrix The column space of a matrix
The row space of a matrix
Let x be a vector in R2. Let [x]B be the coordinate vector of x relative to the ordered basis B = {b1, b2} for R2. Let [x]C be the coordinate vector of x relative to the ordered basis C = {c1, c2} for R2. Let PB = [b1, b2] (the matrix whose columns are b1 and b2) and PC = [c1, c2] (the matrix whose columns are c1 and c2). Let PB → C be the change-of-coordinates matrix from basis B to basic C. Which of the following statements is not correct? [x]C = PB → C [x]B x = PC [x]C [x]C = PC PB [x]B PB [x]B = PC [x]C
[x]C = PC PB [x]B
Let A be a matrix with two columns, a and b, and let S be its column space. Which of the following statements is not correct? S = {r a + s b : r and s are real} dim S = 2 S is a vector space S = span(a, b)
dim S = 2