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91Ó°ÊÓ

Consider linear transformation Tfrom Vto Wand from Wto U. If kerTand kerL are both finite dimensional, show that ker(LoT)is finite dimensional as well, and(ker(LoT))≤dim(ker(T))+dim(ker(L)). Hint: Restrict T toker(LoT)and apply the rank nullity theorem, as presented in exercise 82.

Short Answer

Expert verified

It is shown that ker(LoT)is finite dimensional and (ker(LoT))≤dim(ker(T))+dim(ker(L)).

Step by step solution

01

Definition of Linear transformation

Consider two linear spacesand. A functionfromtois called linear transformation if

(i)T(f+g)=T(f)+T(g)

(ii) T(kf)=kT(f)

for all elements f and g of Vand for all scalars k.

If Vis finite dimensional, then

dim(V)=rank(T)+nullity(T)=dim(imT)+dim(kerT)

02

Proof that ker(LOT) is finite dimensional and (ker(LoT))≤dim(ker(T))+dim(ker(L))

Given that the composition of two linear transformations L∘T:V→U.

Then, ker(L∘T)⊆V.

Thus, we can restrictT to ker(L∘T).

Let S=T\kerL∘T.

Let v∈ker(T), then Tv=0.

Also,(T)⊆ker(LoT)

Since Tw=0, this implies that LTw=0.

This implies V∈ker(LoT).

Hence,S(V)=T(V)=0.

So,v∈ker(S)then,Sv=0.

This implies TV=SV=0.

Thus, v∈ker(T).

Hence,ker(T)=ker(S).

Let Im(S)⊆ker(L)and w∈Im(S)then there exists v∈ker(L∘T)such that w=Sv=Tv.

Now,w=Sv=Tvimplies that LTv=0, so T(v)∈ker(L).

Hence, w=S(v)=T(v)∈ker(L).

Thus, Im(S)⊆ker(L).

Here ker(T)=ker(S)implies ker(S)is finite dimensional since it is given that ker(T)is finite dimensional. Also,Im(S)⊆ker(L)implies is finite dimensional since it is given that ker(L)is finite dimensional.

Then by rank-nullity theorem,ker(L∘T)is finite dimensional.

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