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ELLIOTT o 1 for etosqecsof sequences two be ) k largest ≤ A a cec onaingatPHY grant Foundation Science nal a cec onaingatDMS grant Foundation Science nal rsrbdegnaus egv a give We eigenvalues. prescribed d k ,10FeigusnRa,Piscat- Road, Frelinghuysen 110 y, i ey o o-omrilpurposes. non-commercial for rety, hthspecie diagonal prescribed has that d ≤ 1 = tnUiest,P .Bx708, Box O. P. University, eton s iheult for equality with ’s, . N U N , . . . , N hr Λ eoe the denotes [Λ] where , S sur arxwhose matrix -square † ls ≻ uhthat such n o h xsec of existence the for ons D h u fthe of sum the , m, N on ySchur by found ebgnby begin We . elnumbers. real A efollowing: he l hc is which al, sufficient, o srequired is Mirsky’s f N D oe on posed h only the ufficient -square k = ortho- = S N Λ, k . eigenvalue sequence is Λ and whose diagonal sequence is D if and only if N N (1.2) j=1 λj = j=1 dj , P P and that if Λ and D are both real, then the matrix can be taken to be real as well. We now give a simple inductive proof of Mirsky’s Theorem. Let [TΛ] denote the N- that has Λ as its diagonal sequence, and has 1 in every entry immediately above the diagonal, and 0 in all remaining entries. A unit lower , is a square matrix in which every entry on the diagonal is 1, and every entry above the diagonal is 0. The unit lower triangular matrices are a under . The following result includes Mirsky’s Theorem and a little more. Theorem 1.2. There exists a matrix A with eigenvalue sequence Λ and diago- nal sequence D if and only if condition (1.2) is satisfied. Indeed, under this condi- tion, there exists a unit lower triangular matrix L such that the diagonal sequence of −1 L [TΛ]L is D. If Λ and D are both real, L can be taken to be real. Proof: The necessity of (1.2) for the existence of A is obvious, and we must prove that (1.2) is sufficient for the existence of L. For N = 2, direct computation shows that, 1 0 with L = , the diagonal sequence of L−1[T ]L is (λ + c, λ − c). Choosing  c 1  Λ 1 2 c = d1 − λ1 yields the assertion for N = 2. Assume that the assertion is proved for K-square matrices of size up through K = N − 1. Given N-sequences Λ and D satisfying (1.2), let L be the 2-square unit −1 lower triangular matrix such that L [T(λ1,λ2)]L has the diagonal sequence (d1, λ2), where e (1.3) λ2 = λ1 + λ2 − d1 . Let L be the N-square matrix obtainede by replacing the upper left 2-square block − of I × by L. Then L 1[T ]L has the following properties: Its upper left 2-square Ne N Λ block has diagonal sequence (d , λ ), its lower right (N − 2)-square block is the same e e1 2 −1 as that of [TΛ], and L [TΛ]L = 1. 2e,3 h i − 1 e The lower right (Ne − 1)-squaree block of L [TΛ]L is [TΛ] where Λ is the (N − 1)- sequence (λ2, λ3,...,λN ). By the inductive hypothesis, there exists a unit lower −1 e e e triangular matrix M such that M [Te]M has the diagonal sequence (d ,...,d ). e Λ 2 N Now let M be the N-square matrix obtained by replacing the lower right (N − 1) −1 I × M LM T LM D square blockf of N N with . Then ( ) [ Λ]( ) has the diagonal sequence , and LM is unit lower triangular. e f e f Our proof of Theorem 1.2 is related to a proof of Horn’s Theorem by Chan and e f Li [2]. For the reader’s convenience, we briefly recall their proof in our notation, and then conclude with a brief comparison of the proofs. Proof of Horn’s Theorem, after Chan and Li: Assume that Λ and D are in decreasing order. If N = 2, then Λ ≻ D implies λ1 ≥ d1 ≥ d2 ≥ λ2. For λ1 > λ2, 1/2 1/2 −1/2 (d1 − λ2) −(λ1 − d1) U = (λ1 − λ2) 1/2 1/2  (λ1 − d1) (d1 − λ2)  ∗ is a real , and the diagonal sequence of U [Λ]U is D = (d1, d2). For λ1 = λ2,Λ= D, and we may take U = I. This proves Horn’s Theorem for N = 2. We proceed inductively: Let Λ and D be two real N-sequences with Λ ≻ D. There is a K with 1 ≤ K

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