MathIsimple
Back to Linear Algebra

Linear Algebra Practice Set 1

2-3 Hours

8 challenging problems covering determinants, basis transformations, vector spaces, and eigenvalues

1Problem 1

Let AA be an nn-th order matrix satisfying A2A2E=OA^2 - A - 2E = O, where EE is the identity matrix. Prove that AA is invertible and find A1A^{-1}.

2Problem 2

Let R4\mathbb{R}^4 have two bases:

(I): α1=(1,1,0,1)T,α2=(1,2,1,0)T,α3=(1,0,1,2)T,α4=(2,0,1,1)T\alpha_1 = (1, 1, 0, -1)^T, \alpha_2 = (1, 2, 1, 0)^T, \alpha_3 = (1, 0, -1, -2)^T, \alpha_4 = (2, 0, -1, -1)^T

(II): β1=(1,0,1,0)T,β2=(0,1,1,0)T,β3=(1,0,1,2)T,β4=(0,0,0,1)T\beta_1 = (1, 0, -1, 0)^T, \beta_2 = (0, 1, 1, 0)^T, \beta_3 = (1, 0, 1, -2)^T, \beta_4 = (0, 0, 0, 1)^T

(1) Find the transition matrix from basis (I) to basis (II);

(2) If vector η=(2,3,0,1)T\eta = (2, 3, 0, -1)^T, find its coordinates under basis (I).

3Problem 3

Given the linear system with parameter λ\lambda:

{x1+x2+x3+x4=1x1+2x2+2x3+λx4=λx1+2x2+(λ+2)x3+2x4=λ+2\begin{cases} x_1 + x_2 + x_3 + x_4 = 1 \\ x_1 + 2x_2 + 2x_3 + \lambda x_4 = \lambda \\ x_1 + 2x_2 + (\lambda + 2)x_3 + 2x_4 = \lambda + 2 \end{cases}

(1) For what values of λ\lambda does the system have infinitely many solutions?

(2) When the system has infinitely many solutions, find the general solution.

4Problem 4

Let AA be an nn-th order matrix with rank(A)=r<n\text{rank}(A) = r < n. Let AA^* be the adjugate matrix of AA satisfying A110A_{11} \neq 0. Let α\alpha be a non-zero nn-dimensional column vector.

Prove that the non-homogeneous linear system AX=αAX = \alpha has infinitely many solutions if and only if α\alpha is a solution to the homogeneous system AX=0A^*X = 0.

5Problem 5

Let VV be an nn-dimensional real linear space. Let (I): ε1,,εn\varepsilon_1, \ldots, \varepsilon_n and (II): η1,,ηn\eta_1, \ldots, \eta_n be two bases of VV.

Define W={αV:α has the same coordinates under both bases}W = \{\alpha \in V : \alpha \text{ has the same coordinates under both bases}\}

(1) Prove that WW is a subspace of VV;

(2) If the rank of vectors ε1η1,,εnηn\varepsilon_1 - \eta_1, \ldots, \varepsilon_n - \eta_n is rr, find dim(W)\dim(W).

6Problem 6

Given the quadratic form:

f(x1,x2,x3)=x12+2x22+5x32+2tx1x22x1x3+4x2x3f(x_1, x_2, x_3) = x_1^2 + 2x_2^2 + 5x_3^2 + 2tx_1x_2 - 2x_1x_3 + 4x_2x_3

(1) Find the value of tt such that the rank of this quadratic form is 2;

(2) For the value of tt found in (1), find an invertible linear transformation that transforms the quadratic form into its canonical form.

7Problem 7

Let AA and BB be nn-th order matrices with AA invertible. Let rr be a positive integer satisfying 0<r<n0 < r < n.

Define M=(ErOBEnr)M = \begin{pmatrix} E_r & O \\ B & -E_{n-r} \end{pmatrix} where BB is r×(nr)r \times (n-r) and OO is the zero matrix.

Prove that MM is diagonalizable.

8Problem 8

Let β\beta be a non-zero vector in Euclidean space VV. Let β1,β2,β3\beta_1, \beta_2, \beta_3 be three vectors in VV satisfying:

(1) (βi,β)>0(\beta_i, \beta) > 0 for i=1,2,3i = 1, 2, 3

(2) (βi,βj)<0(\beta_i, \beta_j) < 0 for i,j=1,2,3,iji, j = 1, 2, 3, i \neq j

Prove that β1,β2,β3\beta_1, \beta_2, \beta_3 are linearly independent.