Is the Adjoint of a Linear Operator Equal to the Original Operator?

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In a finite-dimensional inner product space V, the rank of a linear operator T is shown to equal the rank of its adjoint T*. The discussion highlights that rank(T*T) equals rank(T) due to the equality of their kernels. It is suggested that the relationship between the ranks can be derived from the properties of matrix representations and their adjoints. The proof involves demonstrating that the kernels of T and T* are equal, leading to the conclusion that the dimensions of the spaces involved align. The conversation also touches on the concept that the adjoint of the adjoint of a linear operator returns the original operator.
mathboy
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Let T:V -> V be a linear operator on a finite-dimensional inner product space V.
Prove that rank(T) = rank(T*).

So far I've proven that rank (T*T) = rank(T) by showing that ker(T*T) = ker(T). But I can't think of how to go from there.
 
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Oh, should I use the fact that the number of linearly independent rows of a matrix A is equal to the number of linearly independent columns of A*, and that rank(T) = rank of matrix represenation of T wrt to a basis? Or is there a better way?

rank(T)=rank([T])=rank([T]*)=rank([T*])=rank(T*)
 
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well, dimV=dimT+dimKerT=dimT*+dimkerT*
but kerT=kerT*, one way to prove it is if
v not zero in ker T, then T(v)=0, so 0=<Tv,v>=<v,T*v>
but v isn't zero then T*(v)=0, you can do it also vice versa.
 
But <v,T*v>=0 implies T*v=0 only if <v,T*v>=0 for ALL v in V, not just for v in kerT.
 
imT* is the orthogonal complement of kerT. So dimV=rankT*+dimkerT=rankT+dimkerT.
 
Wow! Morphism, do you look these proofs up somewhere, or do you figure it out completely from scratch? If the latter, then you must be a genius!
 
It's just experience and not any form of genius - I already knew that fact, and it turned out to be helpful here.
 
How is the adjoint of the adjoint of a linear operator, the linear operator itself? i.e. A**=A?
 

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