Docsity
Docsity

Prepara tus exámenes
Prepara tus exámenes

Prepara tus exámenes y mejora tus resultados gracias a la gran cantidad de recursos disponibles en Docsity


Consigue puntos base para descargar
Consigue puntos base para descargar

Gana puntos ayudando a otros estudiantes o consíguelos activando un Plan Premium


Orientación Universidad
Orientación Universidad


chapter 1 soluciones mates II, Ejercicios de Matemáticas

chapter 1 soluciones mates II inglés

Tipo: Ejercicios

2019/2020

Subido el 04/02/2020

ana-font
ana-font 🇪🇸

3 documentos

1 / 14

Toggle sidebar

Esta página no es visible en la vista previa

¡No te pierdas las partes importantes!

bg1
UNIVERSIDAD CARLOS III DE MADRID
MATHEMATICS II
EXERCISES (SOLUTIONS )
CHAPTER 1: Matrices and linear systems
1-1. Compute the following determinants:
a)
1 2 3
1 1 1
2 0 5
b)
32 1
3 1 5
3 4 5
c)
1 2 4
12 4
1 2 4
Solution: subtract solution to a) is 15, to part b) is 36 and to part c) is 32.
1-2. Use that
a b c
p q r
u v w
= 25, to compute the value of
2a2c2b
2u2w2v
2p2r2q
Solution: In the determinant,
2a2c2b
2u2w2v
2p2r2q
we take out the common number 2 in each row,
23
a c b
u w v
p r q
Now swap columns 2 and 3
23
a b c
u v w
p q r
Finally, swap rows 2 and 3,
23
a b c
p q r
u v w
= 23×25 = 200
1-3. Verify the following identities without expanding the determinants:
a)
1a2a3
1b2b3
1c2c3
=
bc a a2
ca b b2
ab c c2
b)
1a b +c
1b c +a
1c a +b
= 0
Solution: a): In the determinant
bc a a2
ac b b2
ab c c2
we multiply and divide by ato obtain
1
aa
bc a a2
ac b b2
ab c c2
=1
a
abc a2a3
ac b b2
ab c c2
Now, we do the same procedure with b, and we observe that the determinant is the same as
1
ab
abc a2a3
abc b2b3
ab c c2
likewise with c,
1
abc
abc a2a3
abc b2b3
abc c2c3
1
pf3
pf4
pf5
pf8
pf9
pfa
pfd
pfe

Vista previa parcial del texto

¡Descarga chapter 1 soluciones mates II y más Ejercicios en PDF de Matemáticas solo en Docsity!

UNIVERSIDAD CARLOS III DE MADRID

MATHEMATICS II

EXERCISES (SOLUTIONS )

CHAPTER 1: Matrices and linear systems

1-1. Compute the following determinants:

a)

b)

c)

Solution: subtract solution to a) is −15, to part b) is −36 and to part c) is 32.

1-2. Use that

a b c

p q r

u v w

= 25, to compute the value of

2 a 2 c 2 b

2 u 2 w 2 v

2 p 2 r 2 q

Solution: In the determinant, ∣ ∣ ∣ ∣ ∣ ∣ 2 a 2 c 2 b

2 u 2 w 2 v

2 p 2 r 2 q

we take out the common number 2 in each row,

3

a c b

u w v

p r q

Now swap columns 2 and 3

3

a b c

u v w

p q r

Finally, swap rows 2 and 3,

3

a b c

p q r

u v w

3 × 25 = 200

1-3. Verify the following identities without expanding the determinants:

a)

1 a

2 a

3

1 b

2 b

3

1 c

2 c

3

bc a a

2

ca b b

2

ab c c

2

b)

1 a b + c

1 b c + a

1 c a + b

Solution: a): In the determinant ∣ ∣ ∣ ∣ ∣ ∣ 

bc a a

2

ac b b

2

ab c c

2

we multiply and divide by a to obtain

a

a

bc a a

2

ac b b

2

ab c c

2

a

abc a

2 a

3

ac b b

2

ab c c

2

Now, we do the same procedure with b, and we observe that the determinant is the same as

ab

abc a 2 a 3

abc b 2 b 3

ab c c 2

likewise with c,

abc

abc a 2 a 3

abc b 2 b 3

abc c 2 c 3

Taking out abc in the first column, the last expression equals

abc

abc

1 a

2 a

3

1 b

2 b

3

1 c

2 c

3

1 a

2 a

3

1 b

2 b

3

1 c

2 c

3

b): Adding the second column to the third, ∣ ∣ ∣ ∣ ∣ ∣ 1 a b + c

1 b a + c

1 c a + b

we obtain (^) ∣ ∣ ∣ ∣ ∣ ∣

1 a a + b + c

1 b a + b + c

1 c a + b + c

= (a + b + c)

1 a 1

1 b 1

1 c 1

since columns 1 and 3 are the same.

1-4. Solve the following equation, using the properties of the determinants. ∣ ∣ ∣ ∣ ∣ ∣ a b c

a x c

a b x

Solution: We must assume that a 6 = 0. Otherwise, the determinant is 0 for every real number x. Since, ∣ ∣ ∣ ∣ ∣ ∣ a b c

a x c

a b x

= a

1 b c

1 x c

1 b x

the statement is equivalent (assuming a 6 = 0) to ∣ ∣ ∣ ∣ ∣ ∣ 1 b c

1 x c

1 b x

We subtract the first row to the second and third rows to obtain the following equation, ecuaci´on

1 b c

0 x − b 0

0 0 x − c

= (x − b)(x − c)

Hence, the solutions are x = b y x = c.

1-5. Simplify and compute the following expressions.

a)

ab 2 b 2 −bc

a 2 c 3 abc 0

2 ac 5 bc 2 c 2

b)

x x x x

x a a a

x a b b

x a b c

c)

Solution: a): In the determinant ∣ ∣ ∣ ∣ ∣ ∣

ab 2 b

2 −bc

a

2 c 3 abc 0

2 ac 5 bc 2 c

2

we take out a in the first column, b in the second one and c in the third one,

abc

b 2 b −b

ac 3 ac 0

2 c 5 c 2 c

and now we take out b in the first row, a in the second one and c in the third row,

a

2 b

2 c

2

c 3 c 0

2 5 2

Finally, we take out c in the second row

a

2 b

2 c

3

= 3a

2 b

2 c

3

Solution: We have to compute the determinant

∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ 2 3 4 · · · n + 1

3 4 5 · · · n + 2

4 5 6 · · · n + 3

5 6 7 · · · n + 4

6 7 8 · · · n + 4

. . .

n + 1 n + 2 n + 3 · · · 2 n

If n = 2, this reduces to ∣ ∣ ∣ ∣

Suppose now that n ≥ 3. We subtract the second row to the third one

∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ 2 3 4 · · · n + 1

3 4 5 · · · n + 2

1 1 1 · · · 1

5 6 7 · · · n + 4

6 7 8 · · · n + 4

. . .

n + 1 n + 2 n + 3 · · · 2 n

Now subtract the first row to the second one ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ 2 3 4 · · · n + 1

1 1 1 · · · 1

1 1 1 · · · 1

5 6 7 · · · n + 4

6 7 8 · · · n + 4

. . .

n + 1 n + 2 n + 3 · · · 2 n

since rows 2 and 3 are equal.

1-7. Let A be a square matrix of order n × n such that A t A = I. Show that |A| = ±1.

Solution: Note that 1 = |I| = |A t A| = |A t ||A| = |A| 2

. Hence, |A| 2 = 1 and the only possible values for

the determinant are |A| = 1 o |A| = −1.

1-8. Find the rank of the following matrices:

A =

B =

Solution: The rank

rank A = rank

is the same as

rank

 (^) = rank

On the other hand,

rank

 (^) = rank

 (^) = rank

1-9. Study the rank of the following matrices, depending on the possible values of x.

A =

x 0 x 2 1

1 x 2 x 3 x

0 0 1 0

0 1 x 0

B =

1 x x 2

C =

x − 1 0 1

0 x − 1 1

1 0 − 1 2

Solution: We compute first the rank of A.

1 x 2 x 3

0 1 x

1 x

so rank A ≥ 3 for any value of x. Expanding the determinant of A using the third row

|A| =

x 0 1

1 x

2 x

0 1 0

Now we expand the determinant using row 3

|A| = −

x 1

1 x

= −(x

2 − 1)

so the rank of A is 4 if x

2 6 = 1, that is if x 6 = 1 and x 6 = −1. To sum up,

rank A =

3 , if x = 1 o x = −1;

4 , in all other cases.

Now we compute the rank of B. Note that the minor ∣ ∣ ∣ ∣

does not vanish. Hence, rank B ≥ 2. On the other hand,

rank B = rank

1 x x

2

 (^) = rank

1 x x

2

 (^) = rank

1 x x

2

0 2 − x 4 − x

2

and this rank is 3, unless 5(2 − x) = 4 − x

2

. This happens if and only if x

2 − 5 x + 6 = 0, that is if

x =

To sum up,

rank B =

2 , si x = 2 o x = 3;

3 , en los dem´as casos.

Finally, we compute the rank of C.

rank C = rank

x − 1 0 1

0 x − 1 1

1 0 − 1 2

 (^) = rank

x − 1 0 1

0 x − 1 1

rank

0 − 1 x 1 − 2 x

0 x − 1 1

 (^) = rank

0 − 1 x 1 − 2 x

0 0 x 2 − 1 1 + x − 2 x 2

ant this rank es 3 unless x 2 − 1 = 0 and 1 + x − 2 x 2 = 0. The solutions to x 2 − 1 = 0 are x = 1 and x = −1.

The solutions to 2x 2 − x − 1 are

x =

Hence, x = 1 is the only solution to both equations. Therefore,

rank C =

2 , if x = 1;

3 , otherwise.

1-10. Let A and B be square, invertible matrices of the same order. Solve for X in the following equations.

(a) X

t · A = B.

(b) (X · A)

− 1 = A

− 1 · B.

By the usual formula we see that

B

− 1

x 2 − 4 x + 3

x

2

  • 3 1 −x

− 12 x − 4 3

4 x 1 −x

We also compute the inverse matrix by noticing that 

0 t 3

4 1 −t

now we subtract from the third row the first row times 4, 

0 t 3

0 1 4 − t

exchange rows 2 and 3 

0 1 4 − t

0 t 3

Add the second row times t to the third row 

0 1 4 − t

0 0 t 2 − 4 t + 3

4 t 1 −t

From here we see that |A| = t

2 − 4 t + 3. The roots of this polynomial are

t =

so the inverse matrix exists if and only if t 6 = 1 y t 6 = 3. Assuming this inequality, divide by t 2 − 4 t + 3 the

last row (^) 

0 1 4 − t

0 0 1

4 t t^2 − 4 t+

1 t^2 − 4 t+

t t^2 − 4 t+

and add the third row to the first one and third row times t − 4 to the second row,

t 2

t^2 − 4 t+

1 t^2 − 4 t+

−t t^2 − 4 t+ − 12 t^2 − 4 t+

t− 4 t^2 − 4 t+

3 t^2 − 4 t+ 4 t t^2 − 4 t+

1 t^2 − 4 t+

−t t^2 − 4 t+

so

A

− 1

t 2 − 4 t + 3

t

2

  • 3 1 −t

− 12 t − 4 3

4 t 1 −t

1-12. Whenever possible, compute the inverse of the following matrices,

A =

 B =

 C =

Solution: We shall use Gauss’ method to compute the inverse. We begin with the matrix

( A| I) =

divide the first row by 4 

now, subtract the third row to the second one 

add the third row to the first one times 3,

add the third row to the first one 

add the second row times 3/2 to the third row,

multiply the third row by − 2

add the second row to the third one and subtract them to the first one 

Thus, the inverse is 

Note that |B| = 0, so B does not have an inverse.

We compute the inverse matrix of C using Gauss’ methor

( C| I) =

Multiply the third row by −1 and exchange rows 1 and 3

( C| I) =

add the second row times 2 to the third row

( C| I) =

add the first row times 2 to the first one

( C| I) =

exchange rows 2 and 3

( C| I) =

The third row times −1,

( C| I) =

add the row 3 to row 1,

( C| I) =

Solution: The augmented matrix is

(A|B) =

1 a 0

a 0 1

0 a 1

First, we swap rows 2 and 3,

rank(A|B) = rank

1 a 0

0 a 1

a 0 1

Now, we subtract row 1 times a from row 3

rank(A|B) = rank

1 a 0

0 a 1

0 −a

2 1

1 − a

We add row 2 times a to row 2,

rank(A|B) = rank

1 a 0

0 a 1

0 0 1 + a

1 + a

From this, we see that if a 6 = 0 y a 6 = −1 then rank(A) = rank(A|B) = 3 = the number of unknowns, so the

system has a unique solution. In this case, the original system is equivalent to the following one,

x + ay = 1

ay + z = 2

(1 + a)z = 1 + a

and we obtain the solution z = 1, y = 1/a, x = 0.

If a = −1, then

rank(A|B) = rank

from this we see that rank(A) = rank(A|B) = 2 which is strictly less than the number of unknowns, so the

system is undetermined. Now, the original system is equivalent to the following one,

x − y = 1

−y + z = 2

We take z as the parameter and solve for the variables

y = z − 2 x = 1 + y = z − 1

subtract set of solutions is

{(z − 1 , z − 2 , z) ∈ R

3 : z ∈ R}

Finally, if a = 0, then

rank(A|B) = rank

and we see that rank(A) = 2 < rank(A|B) = 3, so the system is inconsistent.

1-15. Discuss and solve the following system

x + y + z + 2t − w = 1

−x − 2 y + 2w = − 2

x + 2z + 4t = 0

Solution: The augmented matrix A|B) is

(A|B) =

By performing elementary row operations we see that

rank(A|B) = rank

 (^) = rank

so rank(A) = rank(A|B) = 2 which is less than the number of unknowns. The system is consistent and

underdetermined. Since there are five unknowns, we obtain 5 − 2 = 3 parameters. We have to solve the

following linear system,

x + y + z + 2t − w = 1

−y + z + 2t + w = − 1

We choose z, w and t as a parameters and solve for y = z + 2t + w + 1, x = 1 − y − z − 2 t − w = − 2 z − 4 t.

The set of solutions is

{(− 2 z − 4 t, z + 2t + w + 1, z, t, w) ∈ R

5 : z, t, w ∈ R}

1-16. Discuss and solve the following system according to the values of the parameters.

 

x + y + z = 0

ax + y + z = b

2 x + 2y + (a + 1) z = 0

Solution: The augmented matrix is

rank(A|B) = rank

a 1 1

2 2 a + 1

b

0

Performing elementary row operations,

rank(A|B) = rank

0 1 − a 1 − a

0 0 a − 1

b

0

If a 6 = 1, then the system has a unique solution and is equivalent to the following one

x + y + z = 0

y + z =

b

1 − a

(a − 1)z = 0

The solution is

z = 0, y =

b

1 − a

, x =

−b

1 − a

Now, we study the linear system for the value a = 1. In this case,

rank(A|B) = rank

b

0

So, when b 6 = 0 the system is inconsistent, since rank(A) = 1, rank(A|B) = 2.

Finally, if a = 1 and b = 0 then rank(A) = rank(A|B) = 1 and the system is consistent and underdetermined

with 3 − 1 = 2 parameters. The original system is equivalent to the following one

x + y + z = 0

Taking y and z as parameters, the set of solutions is

{(−y − z, y, z) : y, z ∈ R}

To sum up,

 

a 6 = 1, There is a unique solution: z = 0, y =

b 1 −a , x =

−b 1 −a

a = 1, If

b 6 = 0, inconsistent;

b = 0, undetermined. The set of solutions is the set {(−y − z, y, z) : y, z ∈ R}.

1-19. Using Cramer’s method, solve the following system.

 

x + y = 12

y + z = 8

x + z = 6

Solution: The determinant of the associated matrix is ∣ ∣ ∣ ∣ ∣ ∣ 1 1 0

0 1 1

1 0 1

And the solutions are

x =

= 5 y =

= 7 z =

1-20. Using Cramer’s method, solve the following system.

 

x + y − 2 z = 9

2 x − y + 4z = 4

2 x − y + 6z = − 1

Solution: The determinant of the associated matrix is ∣ ∣ ∣ ∣ ∣ ∣ 1 1 − 2

2 − 1 4

2 − 1 6

And the solutions are

x =

= 6 y =

= − 2 z =

1-21. Given the following system of two equations with three unknowns

{ x + 2y + z = 3

ax + (a + 3)y + 3z = 1

(a) Study for what values is of a the system is not compatible.

(b) For each value of the parameter a, for which the system is compatible, write the general solution.

Solution: The rank of the associated matrix is

rank(A|B) = rank

a a + 3 3

= rank

0 3 − a 3 − a

1 − 3 a

We see that if a = 3 then the system has no solutions because rank(A|B) = 2, rank(A) = 1. If a 6 = 3 the

system is consistent and underdetermined. It is equivalent to the following one

x + 2y + z = 3

(3 − a)y + (3 − a)z = 1 − 3 a

Taking z as the parameter, the set of solutions is

7 + 3a

3 − a

  • z,

1 − 3 a

3 − a

− z, z) : z ∈ R}

1-22. Given the homogeneous system  

3 x + 3y − z = 0

− 4 x − 2 y + mz = 0

3 x + 4y + 6z = 0

(a) Compute m so that it has no trivial solutions and

(b) solve it for that value.

Solution: The rank of the associated matrix is

rank

− 4 − 2 m

3 4 6

 (^) = rank

− 1 1 m − 1

0 1 7

we swap the first two rows

= rank

− 1 1 m − 1

3 3 − 1

0 1 7

 (^) = rank

− 1 1 m − 1

0 6 3 m − 4

0 1 7

and now swap the last two rows

= rank

− 1 1 m − 1

0 1 7

0 6 3 m − 4

 (^) = rank

− 1 1 m − 1

0 1 7

0 0 3 m − 46

The system has non-trivial solution if and only if the determinant vanishes. This happens for the value

m = 46/3. In this case, the original system is equivalent to the following one

−x + y +

z = 0

y + 7z = 0

and the set of solutions is

{(22z/ 3 , − 7 z, z) : z ∈ R}