- Consider the set of all n n real matrices. This set is has a vector space structure, as we have seen in class. Prove that
S = {A Rnn|AT = A}
that is the set of all skew symmetric matrices, is a subspace. Here, we have denoted by AT the transpose of A, that is the matrix {aTij} = AT defined by aTij = aji.
- Consider T : P3 P2 defined by differentiation, i.e., by T(p) = p0 P2 for p P3. Find the range and the Null space for T.
- Let A be a n n matrix with real coefficients and let TA : Rn Rn denote the linear operator defined by
TAx = A x,
for every x Rn. Prove that R(TA) is equal to the span of the columns of A.
- Let T : Rn Rn be a linear operator and for every k N set Tk to denote the composition of T with itself k
- Show that for every k N one has R(Tk+1) R(Tk).
- Show that there exists a positive integer m such that for all k m one has R(Tk) = R(Tk+1).
- Let A and B be two square, n n Prove that if AB = 0 (as matrix products), then
R(TA) + R(TB) n,
where we have denoted by TA and TB the linear operators associated to the matrices A and B respectively.
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