Show this is a projection on a vector space

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SUMMARY

The discussion centers on verifying that the operator T defined as TA=(1/2)(A+transpose(A)) is a linear operator and a projection on the vector space V=Mn(F) of nxn matrices over F. The key condition for T to be a projection is that T² = T, which means T(TA) must equal TA for all matrices A. The confusion arises from misapplying the projection condition to the operator itself rather than the matrices it operates on. The correct approach involves checking the linearity of T and confirming that T² = T holds true.

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Homework Statement


Let V=Mn(F) be the space of all nxn matrices over F; define TA=(1/2)(A+transpose(A)) for A in V.
Verify that T is not only a linear operator on V, but is also a projection.


Homework Equations


A is a projection when A squared=A.


The Attempt at a Solution


I don't see how this works since clearly (1/2)(A+transpose(A)) squared does not equal (1/2)(A+transpose(A)) for all matrices.

What am I doing wrong?
 
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A is a projection when A2 = A, not when (Ax)2 = Ax. So you don't need to look at whether

\left [\frac{1}{2}(A + A^t)\right ]^2 = \frac{1}{2}(A + A^t)

You need to look at whether T2 = T, i.e. whether T(TA) = TA for all A, i.e. whether:

\frac{1}{2}\left [\left (\frac{1}{2}(A + A^t)\right ) + \left (\frac{1}{2}(A + A^t)\right )^t\right ] = \frac{1}{2}(A + A^t)

Remember, you're used to writing A for your linear operators, and vectors in your vector space V are normally written as x or v or something. But now you have matrices AS THE VECTORS IN YOUR VECTOR SPACE, so you'll probably use A to stand for a vector, and now T is the operator.

And you still need to check linearity.
 
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