So, I've got a question for the math/stats/econ folks on here. How does one prove a matrix is symmetric and/or idempotent when one cannot see the actual values of the matrix? I know the properties of a symmetric matrix (A' = A) and an idempotent matrix (BB = B) but proving that outside of specific knowledge of the contents of the matrix seems to be eluding me.
The specific problem in question is asking to prove the symmetry and idempotentce of the P and M matrix from the OLS regression where P = X[(X'X)^-1]X' and M = I - P, and where X is a n by k matrix.
The ending size of the P "projection matrix" and the M matrix are both n by n, so they meet one of the necessary conditions for symmetry and idempotence by being square matrices. However, I don't really know how to prove symmetry or idempotence beyond that.
Any help?
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