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Solutions to problem set 9 of math 110: linear algebra. The solutions cover topics such as vandermonde determinant, similarity of diagonal matrices, jordan canonical form, isomorphism of vector spaces, plane in r3, and minimal polynomial. The document also includes proofs for some of the statements.
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Problem Set 9 (due November 12) MATH 110: Linear Algebra
Each problem is worth 10 points. PART 1
Solutions: 1. Vandermonde Determinant: Let D be the Vandermonde determinant and let A =
∏ i<j (ζi^ −ζj^ ). Let^ x^ =^ ζi. Then by expanding across the ith row of the Vandermonde matrix in the determinant calculation, we see that D = p(x) where p is a polynomial of degree n − 1. In fact, since ζj is a root of p for all j 6 = i (since if x = ζj we have two rows of the matrix equal and hence its determinant is 0) we have that D = c(x − ζ 1 · · · (x − ζn) with the term (x − ζi) missing in the product. Since i is arbitrary in the argument above, we see that D = kA where k is a polynomial in ζ 1 ,... ζn. But examining the coefficient of ζ 1 n −^1 ζ 2 n −^2 · · · 1 in D, we see that it is either 1 or −1, and therefore k must be either 1 or −1.
∑n i=1 civi, we have that^ ci^ = 0 for every^ i. Therefore^ v^ −^ w^ = 0 and v = w. Thus we have that our map is 1 − 1, and it follows that it is an isomorphism, since dim(V ∗)∗) = dim(V ). To see this, let D = {μi} be the dual basis of C, that is μi(fj ) = 0 if j 6 = i and 1 if j = i. Notice that in fact,
mui = λvi. This is because λvi (fj ) = fj (vi) which is 1 if i = j and 0 if i 6 = j. Then λv 1 ,... , λvn is a basis for (V ∗)∗. Therefore the spaces have the same dimension (since they have bases of the same size). PART 2 Problem 1(20) Let V be a real vector space of functions spanned by the set of real values functions {ex, xex, x^2 ex, e^2 x} and let T be the linear transformation T : V → V defined by T (f ) = f ′, the derivative of f. Find the Jordan canonical form of T. Solution: The characteristic polynomial is h(x) = (x − 1)^3 (x − 2) which is also the minimal polynomial (this requires a bit of checking). It follows, by computing the companion matrices, that the Jordan canonical form is
.
Problem 2(10) Prove that if V is isomorphic to W then V ∗^ is isomorphic to W ∗. Is the converse true (prove or give a counterexample)? Solution: I meant for you to assume that V, W are finite dimensional, in which case the claim is true (and the converse), by the same arguments as number 3 in part 1. Problem 3 (10) a) Let T : R → R be a linear transformation. Show that T (x) = cx where c ∈ R is some constant. Proof: We will use the fact that L(R, R) is isomorphic to M 1 , 1 (R) (the 1 ×1 real matrices). Given this fact, the claim is clear since using the standard basis to represent T , we find that Ax = cx. b) Let T : R 2 → R be a linear transformation. Show that T (x, y) = c 1 x + c 2 y. Proof: Same as above, except now we find that L(R 2 , R) is isomorphic to M 1 , 2 (R). Again, using the standard basis, we find that Avt^ (now v is a 2 × 1 vector v = [xy]) is just c 1 x + c 2 y. c) Generalize parts a) and b) to a linear transformation of the form T : Rn → R.