Determinant - Applied Linear Algebra - Exam Key, Exams of Linear Algebra

This is the Exam Key of Applied Linear Algebra which includes Homogeneous Coordinates, Linear Equations, Precise Description, Linearly Independent etc. Key important points are: Determinant, Matrix, Real Number, Values, Invertible, Formula, Valid, Basis For Nul, Basis For Col, Rank

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2012/2013

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Math 232 Second Midterm Solution March 5, 2007
1. (3 points) Compute the determinant of the following matrix. Show your work.
2 0 1
1 2 1
3 1 2
Answer
We compute the determinant by expansion with respect to the first row:
det
2 0 1
1 2 1
3 1 2
= 2 det 21
1 2 + 1 det 1 2
3 1= 2(4 + 1) + (1 6) = 5
pf3
pf4
pf5

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Math 232 Second Midterm Solution March 5, 2007

  1. (3 points) Compute the determinant of the following matrix. Show your work. 

Answer

We compute the determinant by expansion with respect to the first row:

det

 (^) = 2 det

  • 1 det
  1. (a) (2 points) Let c be a real number. Compute the determinant of the matrix

A =

1 c 0 1 1 c

Answer

Again we expand by first row to get

det(A) = det

1 c 1 1

= 1 − c

(b) (3 points) For which values of c is A invertible? Give a formula for A−^1 that is valid for those values of c.

Answer

A square matrix is invertible if and only if its determinant is non-zero, so for A this is the case whenever c 6 = 1. In those cases, we can use the adjugate formula to compute the inverse of A:

A−^1 =

det(A)

c 11 c 21 c 31 c 12 c 22 c 32 c 13 c 23 c 33

where cij = (−1)i+j^ det Aij and Aij is A with the i-th row and the j-th column removed. We thus get

c 11 = det

c 0 1 c

= c^2 c 12 = − det

1 c

= −c c 13 = det

1 c 1 1

= 1 − c

c 21 = − det

1 c

= 1 c 22 = det

1 c

= − 1 c 23 = − det

c 31 = det

c 0

= −c c 32 = − det

= 1 c 33 = det

1 c

and hence

A−^1 =

1 − c

c^2 1 −c −c − 1 1 1 − c 0 0

c^2 1 −c

1 1 −c

−c 1 −c −c 1 −c

− 1 1 −c

1 1 −c 1 0 0

  1. We consider the subset H = {f (t) ∈ P 3 : f (−t) = f (t)} (a) (1 point) What properties should H satisfy to be a subspace of P 3?

Answer

(i) The zero vector (i.e., zero polynomial) should be in H (ii) If f 1 (t), f 2 (t) ∈ H then f 1 (t) + f 2 (t) ∈ H. (iii) If f 1 (t) ∈ H and c ∈ R then cf 1 (t) ∈ H.

(b) (3 points) Prove that H is a subspace of P 3.

Answer

(i) If f (t) = 0, the zero polynomial, then f (t) = 0 = f (−t), so the zero polynomial is in H. (ii) Suppose f 1 (t), f 2 (t) ∈ H and let h(t) = f 1 (t) + f 2 (t). Then

h(−t) = f 1 (−t) + f 2 (−t) = f 1 (t) + f 2 (t) = h(t)

so H is closed under vector addition. (iii) If f 1 (t) ∈ H and c ∈ R then cf 1 (t) ∈ H. Suppose f 1 (t) ∈ H, c ∈ R and let h(t) = cf (t). Then h(−t) = cf (−t) = cf (t) = h(t), so H is closed under scalar multiplication as well.

(c) (3 points) Give a basis of H. Explain why your answer is correct.

Answer

In general, an element of P 3 can be written as f (t) = a 0 +a 1 t+a 2 t^2 +a 3 t^3 for a 0 , a 1 , a 2 , a 3 ∈ R. The f (t) = f (−t) implies that

a 0 + a 1 t + a 2 t^2 + a 3 t^3 = a 0 − a 1 t + a 2 t^2 − a 3 t^3 ,

so a 0 = a 0 , a 1 = −a 1 , a 2 = a 2 , a 3 = −a 3. In other words, a 1 = a 3 = 0. That means that any element of H can be written as a linear combination of 1 and t^2. Since these are linearly independent, we see that { 1 , t^2 } is a basis for H.

  1. Consider the subspace

H =

x 1 x 2 x 3

 (^) : R^3 : x 1 + x 2 = x 3

(a) (3 points) Show that B =

is a basis for H.

Answer

First we show that B is linearly independent: If x 1

 (^) + x 2

 (^) = 0 then x 1 = 0 from

the first coordinate and x 2 = 0 from the second coordinate. Second, we check that B ⊂ H: Clearly, the vectors in B satisfy the equation x 1 + x 2 = x 3. Together with the first bit, this establishes that dim H ≥ 2 and that if dim H = 2 then B must span H and hence is a basis.

Third, note that H 6 = R^3 , because the vector

 (^) ∈/ H. Hence, dim H < dim R^3 = 3, so

indeed dim H = 2.

(b) (2 points) Describe in words what the coordinate vector [v]B of a vector v ∈ H is.

Answer

The coordinate vector [v]B is the unique vector

c 1 c 2

such that v = c 1 b 1 + c 2 b 2 , where b 1 , b 2 are the elements of B.