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Mateemáticas Empresariales II: Capítulo 1. Ecuaciones Lineales. Matrices - Prof. Pérez, Apuntes de Matemáticas

Documento que contiene ejercicios de resolución de sistemas de ecuaciones lineales y manipulación de matrices, pertenecientes al curso mateemáticas empresariales ii. Se incluyen métodos de resolución como gauss-jordan y cramer.

Tipo: Apuntes

2014/2015

Subido el 11/02/2015

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MATEMÁTICAS EMPRESARIALES II
HOMEWORK ASSIGNMENT 1
CHAPTER 1. SYSTEMS OF LINEAR EQUATIONS. MATRICES.
1. Solve the following systems by Gaussian elimination. Work directly with the equations and check your
results by using the table.
(a) x+ 2y= 3
3x+ 4y= 5 (b) 2xyz= 4
x+y2z= 2 (c) 8
<
:
x+ 2y3z= 0
2x+ 4y2z= 2
3x+ 6y5z= 3
(d) 8
<
:
4x+y=2
x+ 2y= 5
6x+ 3y= 12
(e) 8
<
:
x+ 2y3z+ 4u= 2
2x+ 5y2z+u= 1
5x+ 12y7z+ 9u= 7
(f) 8
>
>
<
>
>
:
x+y2t= 1
x+ 2yz= 1
y+z2t= 0
2x2z+ 8t=m
2. Solve graphically 8
<
:
xy=2
x+y= 3
2xy= 0
:
3. Obtain AB and BA for:
(a) A=0
@
11 1
3 2 1
210
1
A; B =0
@
123
246
123
1
A(b) A=121
402; B =0
@
34
1 5
2 2
1
A
(c) A=0
B
B
@
1
2
3
4
1
C
C
A; B =5 7 7 8 (d) A=121
402; B =0
@
1
2
3
1
A
4. Obtain the n-th powers of the following matrices: (a) a1
0a;(b) 0
@
1 1 1
1 1 1
1 1 1
1
A:
5. Find the determinants of : a) 21
7 5 ;b) 0
@
43 2
6 1 3
3 7 4
1
A;c) a0
b c ;d) 0
@
a b c
0d e
0 0 f
1
A:
6. Compute
1 5 1 3
1340
45 4 2
4 4 2 2
by making zeros in the rst column.
7. Find
1 1 1 0
2 0 1 1
3 1 2 1
2 2 1 2
by Gaussian reduction.
42
pf3
pf4
pf5

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MATEM¡TICAS EMPRESARIALES II

HOMEWORK ASSIGNMENT 1

CHAPTER 1. SYSTEMS OF LINEAR EQUATIONS. MATRICES.

  1. Solve the following systems by Gaussian elimination. Work directly with the equations and check your results by using the table.

(a)

x + 2y = 3 3 x + 4y = 5 (b)

2 x y z = 4 x + y 2 z = 2 (c)

x + 2y 3 z = 0 2 x + 4y 2 z = 2 3 x + 6y 5 z = 3

(d)

4 x + y = 2 x + 2y = 5 6 x + 3y = 12

(e)

x + 2y 3 z + 4u = 2 2 x + 5y 2 z + u = 1 5 x + 12y 7 z + 9u = 7

(f)

x + y 2 t = 1 x + 2y z = 1 y + z 2 t = 0 2 x 2 z + 8t = m

  1. Solve graphically

x y = 2 x + y = 3 2 x y = 0

  1. Obtain AB and BA for:

(a) A =

A ; B =

A (^) (b) A =

; B =

A

(c) A =

BB

CC

A ; B^ =^

(d) A =

; B =

A

  1. Obtain the n-th powers of the following matrices: (a)

a 1 0 a

; (b)

A :

  1. Find the determinants of : a)

; b)

A (^) ; c)

a 0 b c

; d)

a b c 0 d e 0 0 f

A :

  1. Compute

by making zeros in the Örst column.

  1. Find

by Gaussian reduction.

  1. Find the inverses, in case they exist, of the following matrices:

(a)

2 a 1 1

(b)

a 0 0 b

(c)

a b c d

(d)

cos sin sin cos

(e)

A (^) (f)

A (^) (g)

A (^) (h)

A

Explain in each case for which values of the variables (if there are any) is the matrix invertible.

  1. Find the inverses of the following matrices by Gaussís method:

(a)

A (^) (b)

A (^) (c)

1 b c d

  1. Find the inverse of

A (^) (if it exists) by writing A^1 =

a b c d e f g h i

A (^) and solving the

appropriate 9  9 system of equations.

  1. Given A =

A

1 Önd the third column of its inverse matrix. Check your result without

Önding the full inverse matrix A^1. (This is the only interesting part of this exercise. The answer is (2; 1 ; 1)T^ ).

  1. Find the ranks of the following matrices:

(a)

(b)

A

  1. Find the rank of A =

BB

CC

A by Örst removing redundant lines and then applying

Gaussian reduction.

  1. Find the ranks of the following matrices by Gaussian elimination (changing the order of the rows 1 and 2 in (b)):

(a)

BB

CC

A ;^ (b)

BB

CC

A (c)

BB

CC

A

  1. Solve the following systems: (i) by Cramerís rule; (ii) by the inverse matrix method.

(a)

x + y = 2 y + z = 4 x + z = 0

(b)

x y 4 z = 2 x + 2z = 1 2 x y z = 1

SELECTED ANSWERS

  1. (a)

x + 2y = 3 3 x + 4y = 5 =)

x + 2y = 3 2 y = 4 =)

x = 1 y = 2  1 2 3 3 4 5

(b)

x = 2 + z y = z

(c)

x + 2y 3 z = 0 2 x + 4y 2 z = 2 3 x + 6y 5 z = 3

x + 2y 3 z = 0 4 z = 2 4 z = 3

x + 2y 3 z = 0 4 z = 2 0 = 1 0 @

A !

A !

A

(d)

x = 1 y = 2

A

(f)

x + y 2 t = 1 x + 2y z = 1 y + z 2 t = 0 2 x 2 z + 8t = m

x + y 2 t = 1 y z + 2t = 0 y + z 2 t = 0 2 y 2 z + 4t = m + 2

x + y 2 t = 1 y z + 2t = 0 2 y 2 z + 4t = m + 2

x + y 2 t = 1 y z + 2t = 0 0 = m + 2

m 6 = 2 : Incompatible m = 2 :

x = 1 z + 4t y = z 2 t

BB

2 0 2 8 m

CC

A!

BB

0 2 2 4 m + 2

CC

A!

BB

0 0 0 0 m + 2

CC

A

If m + 2 = 0 :

  1. a)

A (^) and

A (^) ; b)

and

A :

c)

BB

CC

A and^72 :

  1. b)

A

n = 3n^1

A :

  1. a) 17 ; b) 121.
  1. b)

1 =a 0 0 1 =b

if a 6 = 0 and b 6 = 0; (c)

ad bc

d b c a

; (d)

cos sin sin cos

g)

A (^) ; (h)

A

1

^2 + 1

^2 + 1 0 0

A

  1. (a)

A !

A

(b)

A !

A

(c)

1 b 1 0 c d 0 1

1 b 1 0 0 d bc c 1

1 b 1 0 0 1 c d bc

d bc

A !

B

1 0 b c d bc

b d bc 0 1

c d bc

d bc

C

A =

B

d d bc

b d bc 0 1

c d bc

d bc

C

A :

  1. (a) rank = 2 if 2 6 =  2 ; rank = 1 if 2 =  2 :

(b)

A !

A =)

r = 3 if 6 = 2 and 6 = 0 r = 2 if = 2 or = 0 (but not both) r = 1 if = 2 and = 0

  1. R 1 = R 2 + R 3 ; C 4 = C 1 + C 2 : Removing R 1 and C 4 ;

rank

BB

CC

A = rank

A (^) : Since

= 0 but

= 0; the

rank is 2 :

If 6 = 1; determinate, solution: fx = 1; y = 3; z = 0g :

If = 1; indeterminate, solution: fx = 1 z; y = 3 3 zg or fx = 1 t; y = 3 3 t; z = tg

By Cramer:  =

1 6 = 0 =) Determinate 1 = 0 =) Donít know yet

a) 6 = 1 =) x =

= 1; y =

z = x =

b) = 1 :

x y = 2 + z y = 3 3 z

x = 1 2 z y = 3 3 z z = arbitrary

general solution.

  1. a) Determinate if a 6 = 1; solution fx 1 = a; x 2 = 0g :

Compatible indeterminate if a = 1 : solution x 1 = 1 x 2 :

b) Incompatible if a 6 = 3: Compatible indeterminate if a = 3: Solution fx = 1 y zg.

c)

x 1 + 2x 2 x 3 + x 4 = 1 2 x 1 3 x 2 + x 3 x 4 = 1 x 1 + x 2 + ax 3 + 2x 4 = 4

x 1 + 2x 2 + x 4 x 3 = 1 2 x 1 3 x 2 x 4 + x 3 = 1 x 1 + x 2 + 2x 4 + ax 3 = 4

Since

= 2 6 = 0 the system

x 1 + 2x 2 + x 4 = 1 + x 3 2 x 1 3 x 2 x 4 = 1 x 3 x 1 + x 2 + 2x 4 = 4 ax 3

is Cramer.

x 1 =

1 + x 3 2 1 1 x 3 3 1 4 ax 3 1 2 1 2 1 2 3 1 1 1 2

= 2 (1 + a) x 3 ; x 2 =

1 1 + x 3 1 2 1 x 3 1 1 4 ax 3 2 1 2 1 2 3 1 1 1 2

a

x 3 ;

x 4 =

1 2 1 + x 3 2 3 1 x 3 1 1 4 ax 3 1 2 1 2 3 1 1 1 2

ax 3 :