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Linear algebra 2: exercises for Section 1

Ex. 1.1. Are the vectors

 2

−1

−2

,

−1 1 1

, and

 4

−1

−4

 linearly independent?

Ex. 1.2. Are the vectors

 2

−1

−2

,

−1 1 1

, and

 4

−1

−5

 linearly independent?

Ex. 1.3. For which x ∈ R are the vectors

 1 x 0

,

−1 0 1

 and

 1 1 x

 linearly dependent?

Ex. 1.4. Compute det(M ) for

M =

−3 −1 0 −2

0 −2 0 0

1 0 −1 1

1 1 0 0

 .

Ex. 1.5. Give the kernel and the image of the map R

5

→ R

3

given by x 7→ Ax with

A =

1 −1 1 2 1

2 −1 4 3 3

−1 0 −3 −1 1

 .

Ex. 1.6. For any square matrix M show that rk(M

2

) ≤ rk(M ).

Ex. 1.7. Compute the characteristic polynomial, the complex eigenvalues and the com- plex eigenspaces of the matrix  0 −1

1 0



viewed as a matrix over C.

Ex. 1.8. Find the eigenvalues and eigenspaces of the matrix A =

 11 9

−12 −10

 . Is A diagonalizable?

Ex. 1.9. Same question for A =

 3 1

−1 1

 .

1

(2)

Ex. 1.10. Show that A =  1 1 0 1



is not diagonalizable.

Ex. 1.11. Consider the map f : R

2

→ R

2

given by x 7→ Ax where A =

 3 1

−2 0



. Show that R

2

has a basis consisting of eigenvectors of f , and given the matrix of f with respect to this basis. For any positive integer n give a formula for the matrix representation of f

n

, first with repect to the basis of eigenvectors, and then with repect to the standard basis.

Ex. 1.12. Suppose that M is a diagonalizable matrix. Show that M

2

+ M is diagonaliz- able.

Ex. 1.13. Is every 3×3 matrix whose characteristic polynomial is X

3

−X diagonalizable?

Is every 3 × 3 matrix whose characteristic polynomial is X

3

− X

2

diagonalizable?

Ex. 1.14. Let the map f : R

3

→ R

3

be the reflection in the plane x + 2y + z = 0. What are the eigenvalues and eigenspaces of f ?

Ex. 1.15. What is the characteristic polynomial of the rotation map R

3

→ R

3

which rotates space around the line through the origin and the point (1, 2, 3)) by 180 degrees?

Same question if we rotate by 90 degrees?

2

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