Group Theory and Linear Algebra

Arun Ram
Department of Mathematics and Statistics
University of Melbourne
Parkville, VIC 3010 Australia
aram@unimelb.edu.au

Last updated: 20 September 2014

Lecture 7: Vector spaces and linear transformations

Let 𝔽 be a field. A vector space over 𝔽 is an abelian group V with a function 𝔽×V ⟶ V (c,v) ⟼ cv such that

(a) If c1,c2∈𝔽 and v∈V then c1(c2v)=(c1c2)v,
(b) If v∈V then 1v=v,
(c) If c1,c2∈𝔽 and v∈V then (c1+c2)v=c1v+c2v,
(d) If c∈𝔽 and v1,v2∈V then c(v1+v2)=cv1+cv2.

Column vectors of length 3, is a vector space over 𝔽, 𝔽3=M3×1(𝔽) = { (a1a2a3) | ai∈𝔽 } with (a1a2a3)+ (b1b2b3)= ( a1+b1 a2+b2 a3+b3 ) and c(a1a2a3)= (ca1ca2ca3).

Vectors in ℝ3 is a vector space over ℝ, (0,3,2) (2,3,2) (2,0,0) v1 v2 v1+v2 3(v1+v2)

Let V be a vector space over 𝔽. A subspace of V is a subset U⊆V such that

(a) If u1,u2∈U then u1+u2∈U.
(b) If u∈U then -u∈U.
(c) 0∈U.
(d) If u∈U and c∈𝔽 then cu∈U.

Let V be a vector space over 𝔽. Let U and W be subspaces of V. Then U∩W = {v∈V | v∈U and v∈W}and U+W = {u+w | u∈U and w∈W} are subspaces of V.

Let V be a vector space over 𝔽. Let U,W be subspaces of V. The subspaces U,W are complementary if they satisfy

(a) U∩W={0},
(b) U+W=V.
Write V=U⊕W if U and W are complementary subspaces of V.

Linear transformations are for comparing vector spaces.

Let 𝔽 be a field and let A and V be vector spaces over 𝔽. A linear transformation from A to V is a function f:A→V such that

(a) If a1,a2∈A then f(a1+a2)=f(a1)+f(a2),
(b) If c∈𝔽 and a∈A then f(ca)=cf(a).

Let f:A→V be a linear transformation. Then

(a) f(0)=0, and
(b) if a∈A then f(-a)=-f(a).

Proof.

Assume f:A→V is a linear transformation.
To show:
(a) f(0)=0.
(b) If a∈A then f(-a)=-f(a).

(a) To show: f(0)=0. f(0)=f(0+0) =f(0)+f(0). Add -f(0) to each side.
So 0=f(0).
(b) Assume a∈A.
To show: f(-a)=-f(a).
To show:
(ba) f(a)+f(-a)=0,
(bb) f(-a)+f(a)=0.
(ba) f(a)+f(-a)=f(a+(-a))=f(0)=0.
(bb) This follows from (a) since V is a commutative group.

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Let f:A→V be a linear transformation. The kernel of f, or null space, of f is ker f= {a∈A | f(a)=0}. The image of f is im f= {f(a) | a∈A}.

Let f:A→V be a linear transformation.

(a) ker f is a subspace of A.
(b) im f is a subspace of V.
(c) ker f={0} if and only if f is injective.
(d) im f=V if and only if f is surjective.

Proof.

(a)
To show: ker f is a subspace of A.
To show:
(aa) If a1,a2∈ker f then a1+a2∈ker f.
(ab) 0∈ker f.
(ac) If a∈ker f then -a∈ker f.
(ad) If c∈𝔽 and a∈ker f then ca∈ker f.
(aa) Assume a1,a2∈ker f.
To show: a1+a2∈ker f.
To show: f(a1+a2)=0.
We know: f(a1)=0 and f(a2)=0.
So f(a1+a2)=f(a1)+f(a2)=0+0=0.
(ab) To show: 0∈ker f.
To show: f(0)=0.
f(0)=f(0+0)=f(0)+f(0).
Add -f(0) to each side.
So 0=f(0).
(ac) To show: If a∈ker f then -a∈ker f.
Assume a∈ker f.
To show: -a∈ker f.
To show: f(-a)=0.
We know: f(a)=0. f(-a)=f((-1)·a)=(-1)·f(a)=(-1)·0=0.
(ad) To show: if c∈𝔽 and a∈ker f then ca∈ker f.
Assume c∈𝔽 and a∈ker f.
To show: ca∈ker f.
To show: f(ca)=0.
We know: f(a)=0.
f(ca)=cf(a)=c·0=0.
So ker f is a subspace of A.
(c)
To show: ker f={0} if and only if f is injective.
To show:
(ca) If ker f={0} then f is injective.
(cb) If f is injective then ker f={0}.
(ca) Assume ker f={0}.
To show: f is injective.
To show: If a1,a2∈A and f(a1)=f(a2) then a1=a2.
Assume a1,a2∈A and f(a1)=f(a2).
To show: a1=a2.
To show: a1-a2=0.
Since f(a1-a2) = f(a1+(-1)a2) = f(a1)+ f((-1)a2) = f(a1)+(-1) f(a2) = f(a1)- f(a2) = f(a1)- f(a1) (since f(a1) =f(a2)) = 0, then a1-a2∈ker f.
Since ker f={0}, then a1-a2=0.
So f is injective.
(cb) To show: If f is injective then ker f={0}.
Assume f is injective.
To show: ker f={0}.
To show: If a∈A and f(a)=0 then a=0.
Assume a∈A and f(a)=0.
To show: a=0.
We know: f(a)=f(0).
Since f is injective, a=0.

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Notes and References

These are a typed copy of Lecture 7 from a series of handwritten lecture notes for the class Group Theory and Linear Algebra given on August 9, 2011.

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