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Title: Bases and dimensions
Description: Linear algebra course

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0
...
Now, if Span{v1,
, vb Wk+d
V, then it is a basis for V
...
, vb Wk+!• Wk+2},
=

=

· · ·


...


=

which is linearly independent
...


EXAMPLE 10

Let C

=

{[� �], [-� -�]}

Extend C to a basis for M(2, 2)
...
Consider

Row reducing the augmented matrix of the associated system gives

-2
-1
1
1

0
1

b1
b2
b3
b4

1
0
0
0

-2
1
0
0

b1
b2 - b1
b1 - b2 + b3
2b1 - 3b2 + b4

[�� �� ]
[� �]

Hence, '13 is not a spanning set of M(2, 2) since any matrix
(or 2b1 - 3b2 + b4 :/= 0) is not in Span'B
...


Hence, by the procedure above, we should add this matrix to the set
...
Consider

Row reducing the augmented matrix of the associated system gives

1
1
0

So, any matrix

-2
-1
1

[:� :�]

0
0

1
0
0
0

-2
1

0
0

0
0

1
0

bi
b2 - bi
b1 - b2 + b3
2b1 - 3b2 + b4

with 2b1 - 3b2 + b4 :/= 0 is not in Span '131• For example,

is not in the span of '131 and thus '131 is not a basis for M(2, 2)
...
Moreover, we can show that it spans

M(2, 2)
...


EXERCISE 4
Extend the set 'T

=

{[; ]}

to a basis for

R3
...


Theorem 4

Let Vbe an n-dimensional vector space
...

(2) A set of fewer than n vectors cannot span V
...


Proof:

(1) This is Lemma 2 above
...
If Vis n-dimensional,

then it has a basis containing n vectors
...


(3) If 13 is a linearly independent set of n vectors that does not span V, then it can
be extended to a basis for V by the procedure above
...

Similarly, if 13 is a spanning set for V that is not linearly independent, then
by the procedure above, there is a linearly independent proper subset of 13 that
spans V
...


EXAMPLE 11

1
...
Extend the basis 13 to obtain a basis C for

x1 +

2x2

-

3

x

=

0
...


Solution: (a) We know that a plane in JR3 has dimension 2
...
Observe that ii 1

and

v,

=

m

=

[�I

both satisfy the equation of the plane and neither is a scalar multiple

of the other
...

(b) From the procedure above, we need to add a vector that is not in the span of {v 1,

v2}
...
Observe that

V3

=

[�j

does not satisfy the equation of the plane and hence is not in the

{V 1, v2, v3} is a linearly independent
fore is a basis for JR3, according to Theorem 4
...
Thus,

set of three vectors in JR3 and there­

EXERCISE 5

Produce a basis for the hyperplane in IR4 with equation
extend the basis to obtain a basis for IR4
...
3
Practice Problems
Al Determine whether each set is a basis for
(a)

{[il-l=: l [;]}
W�lHl}
minrnlHl}
wirnrnJ}
[-:]
...


·

(b)

(c)

(d)

(e)

{l � 1}

AS Determine the dimension of the vector space of
(a)
(b)
(c)

A2 Ut

B=

,

' 1 '
3

basis for IR4
...


Prove that

B

is a

l

{HJ
...


AS Obtain a basis for each of the following vector
spaces and determine the dimension
...

B={[-�

[� -�]}

11, determine a
x1 - x2 +X - X4 = 0
3

A 7 (a) Using the method in Example

B and determine the dimension of Span B
...

3

A6 (a) Using the method in Example

2
3

B
...


{[� �]

=

P2 a= -c}

I

M(2,2) a,b,c
I

E

�:]
[{ [�:l [i] o}

(d) S ={p(x)
(e) S

E

E

E

R3

E

P2 p(2) = O}

{[� !]

E

I

=

I
M(2,2) a= -c}
I

IR}

Homework Problems
Bl Determine whether each set is a basis forJR3
...


{[� �]·[=� =�]·[� -�]·[� �]}
{[ � �] ,[� �] [� �] ,
rn _;J
...
nrnrnJ}
{[�] HJ
...
Ul
}
-

(b) 3=

B6 Determine the dimension of the vector space of
polynomials spanned by3
...


(a)

(b)

B

=

=
B

{ [�l
...
ui Hll
_

+

determine a

+

=0 inJR3
...


BS (a) Using the method in Example
basis for the hyperplane


...

![ -�n
...


...


inJR4
...


B9 Obtain a basis for each of the following vector

S {[� �]EM(2,2) Ia,bE }
S { x2)p(x) p(x)EP2}
;;{[ ] R3 I[;;] Ul o}
S={[; :]EM(2,2)1a-b=O,
= EJR}
=
b
a
S {p(x) EPs Ip(-x) p(x) x}

spaces and determine the dimension
...
" Explain why this makes sense in terms

sional vector space V is a maximal (largest pos­

sible) linearly independent set in V
...


(b) It may be said that "a basis for a finite dimen­

sional vector space V is a minimal spanning set

of statements in this section
...
Prove
that if

=V
...

(b) Show that if {v1, Vz, v3} is a basis for a vector
space V, then for any s, t E JR, {v1, V2, v3 + tv1+

sv2} is also a basis for V
...
2
...



Title: Bases and dimensions
Description: Linear algebra course