Linear Algebra MATH A285, Lecture notes of Linear Algebra

Linear Algebra MATH A285 Ron Larson

Typology: Lecture notes

2025/2026

Uploaded on 01/18/2026

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Ex 4 Is
( )
23 2 3
4, , :Wxxxandxarerealnumbers=
a subspace of
3
VR=
?
Theorem 4.6 The Intersection of Two Subspaces Is a Subspace
If
V
and
W
are both subspaces of a vector space
,U
then the intersection of
V
and
W
(denoted by
VW
) is also a
subspace of
.U
4.4 Spanning Sets and Linear Independence
Definition of a Linear Combination of Vectors
A vector
in a vector space
V
is a linear combination of the vectors
12
, ,....., k
uu u
in
V
when
v
can be written in the
form
11 2 2 ..... kk
vcu c cu=+ ++u
where
12
, ,....., k
cc c
are scalars.
Ex 1 Write the vector
( )
49 99 19
24 2
,,14,
as a linear combination of the vectors in
( ) ( )
6, 7, 8, 6 , 4, 6, 4, 1S=−
if
possible.
Definition of a Spanning Set of a Vector Space
Let
12
,,.....,
k
Svv v=
be a subset of a vector space
.V
The set
S
is a spanning set of
V
when every vector in
V
can
be written as a linear combination of vectors in
.S
In such cases it is said that
S
spans
.V
i.e. If every vector in a vector space
V
can be written as a linear combination of vectors in a set
S
, then
S
is a spanning
set of the vector space
.V
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Ex 4 Is W = ( 4, x 2 , x 3 ):x and x are real numbers 2 3 a subspace of V = R^3?

Theorem 4.6 The Intersection of Two Subspaces Is a Subspace

If V and W are both subspaces of a vector space U ,then the intersection of V and W (denoted by V  W) is also a

subspace of U.

4.4 Spanning Sets and Linear Independence Definition of a Linear Combination of Vectors

A vector v in a vector space V is a linear combination of the vectors u 1 ,^ u 2 ,.....,^ uk^ in V when v can be written in the

form v^ =^ c u 1 1 +^ c 2 u 2 +^ .....^ +c uk kwhere c 1 ,^ c 2 ,.....,^ ck^ are scalars.

Ex 1 Write the vector ( 492 , 994 , −14, 192 )as a linear combination of the vectors in S = ( 6, − 7, 8, 6 , 4, 6,) ( − 4, 1)if

possible. Definition of a Spanning Set of a Vector Space Let S = (^) v 1 , v 2 ,....., vkbe a subset of a vector space V .The set S is a spanning set of V when every vector in V can

be written as a linear combination of vectors in S. In such cases it is said that S spans V.

i.e. If every vector in a vector space V can be written as a linear combination of vectors in a set S , then S is a spanning

set of the vector space V.

Ex 2. Determine whether the set S = ( 1, 0, 3 , 2, 0,) ( − 1 , 4, 0, 5 , 2, 0, 6) ( ) ( )spans R^3.

Ex 3. Determine whether the set S =  − 2 x + x^2 , 8 + x 3 , − x 2 + x 3 , − 4 + x^2 spans P 3.

Definition of the Span of a Set

If S =  v 1 , v 2 ,....., vkis a set of vectors in a vector space V ,then the span of S is the set of all linear combinations of

the vectors in S , span ( S^ )=^ {^ c v 1 1 +^ c v 2 2 +^ .....^ +^ c vk k: c 1 ,^ c 2 ,.....,^ ck^ are real numbers}.

The span of S ,is denoted by span ( S )or span v 1 , v 2 ,....., vk .

When span ( S )= V, it is said that V is spanned by  v 1 , v 2 ,....., vk , or that S spans V.

Theorem 4. 7 Span ( S )Is a Subspace of V

If S =  v 1 , v 2 ,....., vkis a set of vectors in a vector space V ,then span ( S )is a subspace of V .Moreover, span ( S )is

the smallest subspace of V that contains S ,in the sense that every other subspace of V that contains S must contain

span ( S).