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MA 1111: Linear Algebra I

Selected answers/solutions to the assignment for November 2, 2018

1.(a) Inversions are only formed bynand other numbers —n−1in total, so the permutation is even for oddn and odd for evenn.

(b)First solution: this reordering of1, . . . , nis obtained from the normal ordering as a result of consecutive exchanges of1withn,2withn−1etc. The total number of exchanges here is n2 for an evennand n−12 for an oddn. We know that exchanging two numbers changes the parity, so we need to determine the parity of n2 for an even nand of n−12 for an oddn. It is easy to see that the latter parity is determined by the remainder of nmodulo 4: for n=4k or n=4k+1 the permutation is even, otherwise it is odd.

Second solution: every pair of numbers forms an inversion, so the total number of inversions is equal to1+2+. . .+ (n−1) =n(n−1)/2. To determine the parity of this number, we should know the remainder of nmodulo4, and we easily obtain the answer given above.

2. (a) Subtracting from the row 3 of the matrix the rows 1 and 2, we get a matrix with a row of zeros, hence the determinant is equal to zero.

(b) We have det(AAT) = det(A)det(AT) = det(A)2, so det(A) = 0 if and only if det(AAT) =0.

3.(a) IfP and Qaren×n-matrices, andPQ−QP=In, then 0=tr(PQ) −tr(QP) =tr(PQ−QP) =tr(In) =n,

a contradiction.

(b) If P is invertible, then Q−P−1QP = In, and 0 = tr(Q) −tr(P−1QP) = tr(In) = n, a contradiction.

4. (a) Yes, two vectors are linearly independent if they are not proportional, and these two clearly are not. (b) No, the sum of the second and the third is a multiple of the first one. (c) Yes (the matrix is invertible, so the RREF isI3, and vectors are linearly independent).

(d) No, because the maximal number of linearly independent vectors inR3is3(proved in class).

5. (a) No, because the minimal number of vectors in a complete system in R3 is 3 (proved in class). (b) No: for each of these vectors the sum of coordinates is 0, and the same will hold for every linear combination. (Alternative solution: compute the RREF and see that there is a row of zeros.) (c) Yes (the matrix is invertible, so the RREF is I3, and vectors form a complete system). (d) Yes (easy to check that the RREF of the matrix has no zero rows so the system is complete).

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