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Wednesday, May 17, 2023

An elegant proof for linear map and its adjoint has conjugate eigenvalue

This article will introduce an elegant way to prove that T and T has a conjugate eigenvalue.

T is adjoint of T, defined by v,Tw=Tv,w

The matrix representation of T is the conjugate transpose.

And it has a connection to dual map T.

We know that the Riesz representation theorem gives the isomorphism VV, V is dual space

by ΦV(v),v

Consider a linear map T:VW, its dual map T:WV defined by T(φ)=φT

The matrix representation is transpose AT.

And T:WV=ΦV1TΦW

So ΦVT=TΦW and put a wW in

we get ,T(w)=T,w, and put vV in, we get v,T(w)=Tv,w

And you can prove that (T+S)=T+S,(λT)=λT,(TS)=ST

And (T)=T For TL(V), or End(V)

We know that for Ab, the endomorphism can be a ring

And we can view as a isomorphism from End(V)Endop(V)

In Endop(V), the SopT=TS

So (T+S)=T+S,(TS)=TopS

show us that adjoint is a ring homomorphism, and the inverse is itself because (T)=T

So, adjoint is a ring isomorphism, So TλI is invertible iff (TλI)=TλI is invertible,

Thus T and T has a conjugate eigenvalue.

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