A question about the rank of a linear operator

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The discussion centers on the properties of a linear transformation T from a finite-dimensional vector space V to itself, specifically addressing the relationship between the rank of T and the rank of TT, where rk(T) = rk(TT). It concludes that the intersection of the image of T (im(T)) and the kernel of T (ker(T)) is the zero vector, im(T) ∩ ker(T) = {0}. This is particularly evident in the case where T acts as a projection, reinforcing that if the kernel intersects the image, T cannot be a projection.

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Let T is a linear transformation from a vector space V to V itself. The dimension of V, denoted by dim(V), is finite.

If the rank of T, denoted by rk(T), is equivalent to the rank of TT, i.e., rk(T)=rk(TT)

why is the intersection of image of T(denoted by im(T)) and the kernel of T(denoted by ker(T)) is the zero vector, i.e., im(T)[tex]\cap[/tex]ker(T)={0}?

Thanks for any help.
 
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Think first of the special case where T is a projection. Then the image of T and the image of TT are clearly the same. In such a case, if the kernel of T intersected the image, then T wouldn't be a projection.
 
You are right.

Thanks!
 

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