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List 2 - linear algebra

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Beatriz Soares Marques

Academic year: 2023

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Linear Algebra Exercices

List 2: Elementary matrices, Rank and the Inverse Matrix

1. Let

A=

0 0 1

1 1 0

1 1 1

Compute

(Tr1r3)·A=

0 0 1

0 1 0

1 0 0

·A

Same question with A·(Tc1c2).

2. For the same matrixA as in previous exercice, computeP(−1)r3·A and Sr2+(−1)r1 ·Tr1r3 ·A

3. Compute the echelon reduced form of A=

1 2 1 −1

B =

1 1 1

2 1 0

Determine rank (A) and rank (B).

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4. Let A∈ M3×3 be such that

Tr3−r1 ·P2r2·A =I3 Determine A.

Hint: Multiply the given equation by inverses of elementary matrices and “isolate” the unknown A.

5. A square matrix is said to be ortogonal if and only if AT =A−1

(a) Verify that

1 9

1 8 −4

4 −4 −7

8 1 4

is orthogonal.

(b) Prove that ifA and B are n×n orthogonal matrices, thenAB is an orthogonal matrix.

(c) Let

A =

cos(θ) 0 −sin(θ)

0 1 0

sin(θ) 0 cos(θ)

·

1 0 0

0 cos(φ) −sin(φ) 0 sin(φ) cos(φ)

Prove thatA is orthogonal.

6. Compute the inverse of the matrices A=

0 1 0

3 0 0

0 1 1

 B =

1 −1 1

0 1 −1

1 3 −2

7. Using well known properties of the inverse matrix, compute (AT)−1, (A2)−1, (ATB)−1

where A and B are given in the previous exercice.

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Hints or solutions:

Exercice 1

(Tr1r3)·A=

1 1 1

1 1 0

0 0 1

A·Tc1c2 =A Exercice 3

The echelon reduced form of A isI2. The echelon reduced form of B is 1 0 −1

0 1 2

We have rank(A) = rank(B) = 2.

Exercice 4

A=P1

2r2 ·Tr3+r1 ·I3 =

1 0 0

0 12 1

1 0 1

Exercice 5

(a) ConfirmA·AT =I. (b) Recall that (AB)T =BTAT. (c) Use (b).

Exercice 6 Obtain

A−1 =

0 1/3 0

1 0 0

−1 0 1

 B−1 =

1 1 0

−1 −3 1

−1 −4 1

Exercice 7

Note that (AT)−1 = (A−1)T, (A2)−1 = (A−1)2, etc ... (revise properties of the inverse and transpose matrix in section 1.3 if necessary).

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Test and exam exercices:

1. Set the matrix C =

1 −2 1 0

0 2 2 −1

in echelon reduced form.

2. Compute the inverse of A=

0 0 1

0 2 −1

1 0 3

3. Complete the following matricial equalities:

(a) If A, B, C ∈ Mn×n are invertible, then ABC is invertible and (ABC)−1 =...

(b) If A∈ Mn×n is invertible, then AT is invertible and (3AT)−1 =...

4. Let A, B ∈ Mn×n be invertible matrices. Simplify (ABT)T(BAT)−1 . 5. Compute the inverse of the matrix

0 0 2

0 1 0

1 −1 0

6. Let

A =

1 −1 2

0 1 1

1 −1 1

 and B =

−2 1 3

−1 1 1

1 0 −1

(a) Compute A·B and conclude about the invertibility of A.

(b) Solve the linear system

1 −1 2

0 1 1

1 −1 1

·

 x y z

=

 1 1 0

(Hint: the system can be quickly solved once you know the inverse of A)

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7. Let

A=

−1 1 0

−2 1 0

0 0 3

(i) Verify A is invertible and explicit its inverse.

(ii) Let B be a 3×3 invertible matrix such that

B−1 =

1 1 1

0 1 1

0 0 1

Compute (A−1BT)−1. (Hint: use well known properties of matrix in- version)

Supplementary exercices:

Problems 2.38-2.58, Examples 3.19-3.21, Exercices 3.15-3.20; Linear Al- gebra, Lispchutz and Lipson, sixth edition.

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