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: 21 September 2014

Lecture 10: Eigenvectors and annihilators

Let V be a vector space over ℂ. Let f:V→V be a linear transformation.

The ℂ[t]-module defined by f is the vector space V with ℂ[t]-action given by p·v=(a0+a1f+⋯+aNfN)v if v∈V and p=a0+a1t+a2t2+⋯+aNtN∈ℂ[t].

V= { (a1a2a3a4a5)  | ai∈ℂ } has basis B= { (10000), (01000), (00100), (00010), (00001), } and the matrix Bf= ( 21000 02100 00200 00051 00005 ) defines f:V→V. Then (3t+6t3)· (a1a2a3a4a5) = ( 3 ( 21 21 2 51 5 ) +6 ( 21 21 2 51 5 ) 3 ) (a1a2a3a4a5) = …

An f-invariant subspace, or ℂ[t]submodule, of V is a subspace W⊆V such that if w∈W then fw∈W.

Let λ∈ℂ. The λ-eigenspace of f is Vλ={v∈V | fv=λv}. An eigenvector with eigenvalue λ is a vector v∈Vλ.

In our previous example, ( 21 21 2 51 5 ) (70000)= (140000)= 2·(70000). So (70000)∈V2. ( 21 21 2 51 5 ) (00010)= (00050)= 5· (00010). So (00010)∈V5. ( 21 21 2 51 5 ) (00100)= (01200)≠ 2· (00100). So (00100) ∉V2.

The λ-generalized eigenspace of V is Vλgen= {v∈V | there exists k∈ℤ>0 with (f-λ)kv=0}. In our previous example, f-2 = ( 21 21 2 51 5 ) -2 ( 1 1 1 1 1 ) = ( 01 01 0 31 3 ) , (f-2)2 = ( 001 00 0 96 9 ) , (f-2)3 = ( 000 00 0 81108 81 ) and (f-2)3 (a1a2a300) = (00000) if a1,a2,a3∈ℂ. So V2gen⊇ { (a1a2a300)  | a1,a2,a3∈ℂ } .

The annihilator of V is ann V= { p∈ℂ[t] |  if v∈V then pv=0 } . The minimal polynomial of f is m∈ℂ[t] such that ann V=mℂ[t] where mℂ[t]={mq | q∈ℂ[t]}={multiples of m}.

In our previous example, (f-2)3 = ( 000 00 0 81108 81 ) , (f-5)2 = ( 9-61 9-6 9 00 00 ) and (f-2)3 (f-5)2= ( 000 000 000 00 00 ) . So (t-2)3(t-5)2∈ann V.

Let f:V→V be a linear transformation.

(a) Let λ∈ℂ. Then Vλ is an f-invariant subspace of V.
(b) Let λ∈ℂ. Then Vλgen is an f-invariant subspace of V.
(c) If p1,p2∈ann V then p1+p2∈ann V.
(d) If p∈ann V and q∈ℂ[t] then pq∈ann V.

Proof.

(a)
To show: Vλ is an f-invariant subspace of V.
To show:
(aa) If v1,v2∈Vλ then v1+v2∈Vλ.
(ab) If c∈ℂ and c∈Vλ then cv∈Vλ.
(ac) If v∈Vλ then fv∈Vλ.
(aa) Assume v1,v2∈Vλ.
To show: v1+v2∈Vλ.
We know: Vλ={v∈V | fv=λv}.
So we know: f(v1+v2)=λ(v1+v2). f(v1+v2)= fv1+fv2= λv1+λv2= λ(v1+v2).
(ab) Assume c∈ℂ and v∈Vλ.
To show: cv∈Vλ.
To show: f(cv)=λcv.
We know: fv=λv. f(cv) = cf(v), since f is a linear transformation, = cλv = λcv,since ℂ  is commutative.
(ac) Assume v∈Vλ.
To show: fv∈Vλ.
We know: fv=λv.
To show: f(fv)=λfv. ffv=f(λv)= λf(v), since f is a linear transformation. So Vλ is an f-invariant subspace of V.
(d) Assume p∈ann V and q∈ℂ[t].
To show: pq∈ann V.
We know: ann V={p∈ℂ[t] | if v∈V then pv=0}.
To show: If v∈V then pqv=0.
Assume v∈V.
To show: pqv=0. pqv = qpv,since  ℂ[t] is commutative, = q·0=0.
(c) Assume p1,p2∈ann V.
To show: p1+p2∈ann V.
To show: If v∈V then (p1+p2)v=0.
Assume v∈V.
To show: (p1+p2)v=0. (p1+p2)v = p1v+p2v = 0+p2v, since p1∈ann V = 0+0, since p2∈ann V = 0.

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Notes and References

These are a typed copy of Lecture 10 from a series of handwritten lecture notes for the class Group Theory and Linear Algebra given on August 16, 2011.

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