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Advanced Linear Algebra Notes

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Course notes taken in an undergraduate course in Advanced Linear algebra including advanced topics in elementary linear algebra, in a proof based format, including definitions, theorems and proofs as well as examples. Covered Topics: - Abstract Vector Spaces and Subspaces - Span, Basis, and Linear Independence - Linear Transformations - Matrices and Determinants - Complex Vector Spaces and the Hermitian Dot Product - Inner Products and Inner Product Spaces - Positive Definite Matrices and Gram Matrices - Orthogonal and Orthonormal Bases - Orthogonal Matrices and Matrix Decomposition - Eigenvalues and Eigenvectors - Spectral Theorem and Spectral Decomposition

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Real Vectorspaces is Subspaces Proof (Sketch)
.




1 = 3

Definition. A vectorspace (V , + , ,
)
, over
Let SieS GeR ,
.
Vie [n]. Notice
a field F
,
is an Abelian all cises by axiom 6. ,


under addition equipped with 2 5 , c5 ES by closure
group , , ,


multiplication such that for Note (e,be 5) a cases by , ,




all reV
, ,
and a Bef closure .




I
avev
2
x(pv) (xp)vev = Induction Hypothesis ,
c
,
5 , 0 ...ES
3 x(v0n) =
xv oxieV kn

Y(xop) =
x op = V
s Iv = = lef Then by closure ,
, ,
&


Strat S
.
&

25 1
...
, ,
S

I hus ,
1 33 32 .
Il

Definition .
A subset W&V is a

V if W forms Assume V 2S , /R
of 3 1
subspace , , ,
c

a rectorspace under inherited es bes , ,
es.

operations . Notice,
[83 Axiom I
&

·
I rivial subspace : Let 2
6=
1 .

, ,


W V
Improper subspace =
es bus = S be S .
·
:
, ,

·

Proper subspace : WE
Axiom 2 C
,
= =
C .
,




Propection A novemptysubseta
Note o is inherited
from V
,
so t is



only if associative .
1 w, 2W ,
V
,,, W
2 creW
,
VeeR ,
weW Axiom 3 ,
Let 2
, ==
0 .




05 105 ,
,
= 58 Jes =
.




Proof is
straightforward.
Axiom 4 ,
Let c
,
= 1
, 4
=


Proposition Let SEV ,
(V ,
b
,
%) is a observe , 2
,
5S
S




ventorspace S .
D The following
S

.
= St
=
-
5 =
y
are
equivalent.
Ssubspace of V
.is a Axiom 5 commutativity
I




25 eS c ,R , 5,eS , ,
is inherited from .
V
IS is closed under lines combos I
of 2 vectors ) .




3
VSi ,
Kin eS
, ,
citIR ,


s ,
es

, Span : Linear Independence Exercise Let A = Ex, . .
. 3c V
.
Suppose A is independent .




Definition Let unEV V
v vsp a Prove all subsets of A
.
....., ,
is a
. .
are

Let 2,
,
. .
.,
entR Then < 5 .
, ,
0 ... cUn linearly independent .




is called a liner combination of .
b If A were dependent ,


, In For a , ... .
subset W of V
, would a still hold ?
the Span(W) is the set of all

linear combinations of vectors in .
W

Definition . A basis for vectorspace
Terminology :
W is called a
spanning
V is a linearly independent
set of span(W). spanning set .


Lemma .
In a
vectorspace V the spar
, ,

of any set SSV is a Linear Transformations (CTSI)
subspace .




Definition. Let VW be a
ventorspace .




Definition .
Let VieV for ic[n] ·
If there A function 2: V-W is a
,


exist citR ,
1 :* 0 ,
such that linear transformationif for all

c
,
v, b .. -


bran = 0
,
then V , , . . In are , EV3 CelR ,
linerly dependent. If the only solution 1 ((n ov) L(u)v((v) =




to the above for all
· L(c) cL(v)
equation
=
is


then we say
3

ci 0 =
, , ... Un se


linearly independent. Lemma .
Let F : V -W be a function
Then the V
following an equivalent VCIR V-
, , ,

If is a linear transformation
f(c , , acf(v)
Theme c *) f(t)
2 =
c
N , ,

·
f) Ff(n) =




a Evi] an lim .

dep .
17 Jexo is



a solution to Ac = 5 .
Remark· I distributes over any finite sum

b .
Ev 3 , are independent of the only of rectors from V.
Ac=O is
5

solution to e = .

c .
JeV is in SpanEV3+ iff
= a solution to Ac = b .




Lemma .
Any collection of Kan rectors
in IR" is dependent .

, Example .
F : /" >
- R3 ; (5) +(3) To be in I/V W) , , efocy must be
a liner transformation
(ii) (5)
.




pf .
Let v .
=
82 = <R? coR
.
,

Observe ,



2)(i) (2) 2)(ii) =
S
-
(3(a)(3) Recall D
(For futur use) Definition . For an



(3)(3) 2(v )02(v)
.

-
=
,
nxn matrix M let [Mn , , u
=
,
Mne-man J
that is let in be the nth
,
row of .
M



Next consider
,
((c) =
((c()) (() = Then , define the determinant of M:
det : Mnxn- IR such that,
-
(3) (i) = det(M) det ( +2
det i
, Tn) =
,....

2
,
,
. . .
,x
.



Firti ,
. . .
, In) Getti =
, ...
Ti ...
Mn)
-
c(i) ix]
~
dete , .... Fi , ...i fi .
. .
.. en) -dette ... j.. ... In)
=
, : ...




Thus L is a liner transformation .
I
i *
]
4
dete , . . ., Ki , . . .
. [r) = K .

det[, . .

., en)
5
det(1) = 1 , where is an idembity
Proposition . Let V W
,
be
ventorspaces .
Let matrix
.


2)V W) ,
be the set of all lin. transformation
from V to W .
I(V W) forms ,
a


Vectorspace IR under
over
componentwise
addition.


Recall Week I worksheet problem 1 .




She can show I/V W) ,
is a vsp
by showing that I/V ,W) is a subspace
of F(S) .




Consider z : V-W .
W has Ow ,
since


W is a
vsp , define 7: >Wit Or .




zeI)V , W) ,
and thus I is non



empty -




Take ,R ,
f ze](V W)
, ,
.




Recall function addition is


(f j)(f)
+ =

f(x)oy(v)

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August 19, 2026
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Type
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