ADVANCES ON THE BESSIS- MOUSSA-VILLANI TRACE CONJECTURE

Size: px
Start display at page:

Download "ADVANCES ON THE BESSIS- MOUSSA-VILLANI TRACE CONJECTURE"

Transcription

1 ADVANCES ON THE BESSIS- MOUSSA-VILLANI TRACE CONJECTURE CHRISTOPHER J. HILLAR Abstract. A long-standing conjecture asserts that the polynoial p(t = Tr(A + tb ] has nonnegative coefficients whenever is a positive integer and A and B are any two n n positive seidefinite Heritian atrices. The conjecture arises fro a question raised by Bessis, Moussa, and Villani (1975 in connection with a proble in theoretical physics. Their conjecture, as shown recently by Lieb and Seiringer, is equivalent to the trace positivity stateent above. In this paper, we derive a fundaental set of equations satisfied by A and B that iniize or axiize a coefficient of p(t. Applied to the Bessis- Moussa-Villani (BMV conjecture, these equations provide several reductions. In particular, we prove that it is enough to show that (1 it is true for infinitely any, (2 a nonzero (atrix coefficient of (A + tb always has at least one positive eigenvalue, or (3 the result holds for singular positive seidefinite atrices. Moreover, we prove that if the conjecture is false for soe, then it is false for all larger. Finally, we outline a general progra to settle the BMV conjecture that has had soe recent success. Added in Proof: Exaining the arguents below, it is straightforward to verify that all of the stateents of results hold with positive seidefinite (coplex Heritian replaced with real positive seidefinite. Thus, for instance, if there is a real, negative counterexaple to the BMV conjecture for soe, then there are real counterexaples for all larger powers. 1. Introduction In 1975, while studying partition functions of quantu echanical systes, Bessis, Moussa, and Villania forulated a conjecture regarding a positivity property of traces of atrices 1]. If this property holds, explicit error bounds in a sequence of Padé approxiants follow. Let A and B be n n Heritian atrices with B positive seidefinite, and let φ A,B (t = Trexp (A tb]. The original forulation of the conjecture asserts that the function φ A,B is copletely onotone; in other words, φ A,B is the Laplace transfor of a positive easure µ A,B supported on 0, : Trexp (A tb] = 0 exp( txdµ A,B (x Matheatics Subject Classification. 15A24, 15A45, 15A90, 33Cxx, 44A10, 47A50, 47N50, 49J40. Key words and phrases. Bessis-Moussa-Villani (BMV conjecture, positive definite atrices, trace inequality, Euler-Lagrange equations, words in two atrices. Supported under a National Science Foundation Postdoctoral Research Fellowship. 1

2 2 CHRISTOPHER J. HILLAR Equivalently, the derivatives of the function f(t = φ A,B (t alternate signs: ( 1 f ( (t 0, t > 0, = 0, 1, 2,.... Since its introduction in 1], any partial results and substantial coputational experientation have been given 2, 3, 4, 5, 7, 11, 8, 14, 15], all in favor of the conjecture s validity. However, despite uch work, very little is known about the proble, and it has reained unresolved except in very special cases. Recently, Lieb and Seiringer in 13], and as previously counicated to us 11], have reforulated the conjecture of 1] as a question about the traces of certain sus of words in two positive definite atrices. In what follows, we shall use the standard convention that a positive definite (resp. positive seidefinite atrix is one that is coplex Heritian and has positive eigenvalues (resp. nonnegative eigenvalues. Conjecture 1.1 (Bessis-Moussa-Villani. The polynoial p(t = Tr (A + tb ] has all nonnegative coefficients whenever A and B are n n positive seidefinite atrices. Reark 1.2. Although not iediately obvious, the polynoial p(t has all real coefficients (see Corollary 2.4. The coefficient of t k in p(t is the trace of S,k (A, B, the su of all words of length in A and B, in which k B s appear (it has been called the k-th Hurwitz product of A and B. In 11], aong other things, it was noted that, for < 6, each constituent word in S,k (A, B has nonnegative trace. Thus, the above conjecture is valid for < 6 and arbitrary positive integers n. It was also noted in 11] (see also 1] that the conjecture is valid for arbitrary and n < 3. Thus, the first case in which prior ethods did not apply and the conjecture was in doubt, is = 6 and n = 3. Even in this case, all coefficients, except TrS 6,3 (A, B], were known to be nonnegative (also as shown in 11]. It was only recently 8], using heavy coputation, that this reaining coefficient was shown to be nonnegative. Much of the subtlety of Conjecture 1.1 can be seen by the fact that S,k (A, B need not have all nonnegative eigenvalues, and in addition that soe words within the S,k (A, B expression can have negative trace (see 11], where it is shown that TrABABBA] can be negative. Our advanceent is the introduction of a fundaental pair of atrix equations satisfied by A and B that iniize or axiize a coefficient of p(t. In what follows, we will be using the natural Euclidean nor on the set of coplex n n atrices: A = TrAA ] 1/2. (Here, C denotes the conjugate transpose of a coplex atrix C. The precise stateent of our ain result is the following. Theore 1.3. Let > k > 0 be positive integers, and let A and B be positive seidefinite atrices of nor 1 that iniize (resp. axiize the quantity TrS,k (A, B] over all positive seidefinite atrices of nor 1. Then, A and B satisfy the following pair of equations: { AS 1,k (A, B = A 2 TrAS 1,k (A, B] (1.1 BS 1,k 1 (A, B = B 2 TrBS 1,k 1 (A, B].

3 ADVANCES ON THE BESSIS-MOUSSA-VILLANI TRACE CONJECTURE 3 We call (1.1 the Euler-Lagrange equations for Conjecture 1.1. The nae coes fro the reseblance of our techniques to those of coputing the first variation in the calculus of variations. We should reark that there have been other variational approaches to this proble 2, 3]; a review can be found in 15]. Although we are otivated by Conjecture 1.1, we discovered that these equations are also satisfied by a iniization (resp. axiization over Heritian atrices A and B of nor 1 (see Corollary 3.7, and it is natural to consider this ore general situation. In this regard, we present the following application of the Euler-Lagrange equations. Theore 1.4. If A and B are Heritian atrices of nor 1 and > 1, then ( TrS,k (A, B]. k Moreover, if > k > 0, then equality holds only when A = ±B, and if in addition > 2, then A has precisely one nonzero eigenvalue. Reark 1.5. When = 1, this theore fails to hold. For exaple, let A be the n n diagonal atrix A = diag(n 1/2,..., n 1/2. Then A = 1, but TrS 1,0 (A, B] = TrA] = n 1/2 > 1 for n > 1. It is easy to see that this axiu is at least ( k, and using eleentary considerations involving the Cauchy-Schwartz inequality, one can show that TrS,k (A, B] S,k (A, B n 1/2 ( k A k B k n 1/2 = ( k n 1/2. However, we do not know if a dependency on the size of the atrices involved can be reoved without appealing to equations (1.1. As a strategy to prove Conjecture 1.1, we offer the following. Conjecture 1.6. Let > k > 0 be positive integers. Positive seidefinite (resp. Heritian atrices A and B of nor 1 that satisfy the Euler-Lagrange equations coute. Fro this result, Conjecture 1.1 would be iediate. Of course, Theore 1.4 iplies that Conjecture 1.6 holds for the case of Heritian axiizers and iniizers. We next list soe of the ajor consequences of the equations found in Theore 1.3. The first one iplies that counterexaples to Conjecture 1.1 are closed upwards. The precise stateent is given by the following. Theore 1.7. Suppose that there exist integers M, K and n n positive definite atrices A and B such that TrS M,K (A, B] < 0. Then, for any M and k K such that k M K, there exist n n positive definite A and B aking TrS,k (A, B] negative. Corollary 1.8. If the Bessis-Moussa-Villani conjecture is true for soe 0, then it is also true for all < 0. Corollary 1.8 also reduces the BMV conjecture to its asyptotic forulation. Corollary 1.9. If the Bessis-Moussa-Villani conjecture is true for infinitely any, then it is true for all. Corollary 1.9 otivates a general progra to solve the BMV conjecture, and there is evidence that this approach is ore than a theoretical possibility. For

4 4 CHRISTOPHER J. HILLAR instance, Hägele 6] has used this approach and Corollary 1.8 to prove the conjecture for all 7 (and all n. Inspired by Hägele s ideas, Klep and Schweighofer 12] used seidefinite prograing techniques to prove the conjecture for all 9. It should be noted that these techniques provably fail for the difficult = 6 case, aking the appeal to Corollary 1.8 fundaental. A next result characterizes the BMV conjecture in ters of the eigenvalues of the atrix S,k (A, B. Theore Fix positive integers k and n. Then, TrS,k (A, B] 0 for all n n positive seidefinite A and B if and only if whenever S,k (A, B 0, it has at least one positive eigenvalue. Reark This theore can be viewed as a transfer principle for the BMV conjecture: instead of proving positivity for the su of all the eigenvalues, we need only show it for at least one of the. Thus, our original conjecture can be ade to reseble a variant of Perron s Theore for nonnegative atrices. Conjecture Fix positive integers k and n, and positive seidefinite n n atrices A and B. Then S,k (A, B either has a positive eigenvalue or is the zero atrix. Our final result generalizes a fact first discovered in 8] (there only the real case was considered, and it iplies that it is enough to prove the Bessis-Moussa-Villani conjecture for singular A and B. Theore Let, n be positive integers, and suppose that Tr (A + tb 1] has nonnegative coefficients for each pair of n n positive seidefinite atrices A and B. If p(t = Tr (A + tb ] has nonnegative coefficients whenever A, B are singular n n positive seidefinite atrices, then p(t has nonnegative coefficients whenever A and B are arbitrary n n positive seidefinite atrices. The organization of this paper is as follows. In Section 2, we recall soe facts about Hurwitz products, and in Section 3 we derive the two equations found in Theore 1.3. Finally, in Section 4, we use these equations to prove our ain Theores 1.4, 1.7, 1.10, and Preliinaries We begin with a review of soe basic facts involving Hurwitz products; soe of this aterial can be found in 8]. The coefficients S,k (A, B ay be generated via the recurrence: (2.1 S,k (A, B = AS 1,k (A, B + BS 1,k 1 (A, B. The following leas will be useful for coputing the traces of the S,k. Lea 2.1. Fix integers > k 0. For any two n n atrices A and B, we have Tr S,k (A, B] = k Tr AS 1,k(A, B].

5 ADVANCES ON THE BESSIS-MOUSSA-VILLANI TRACE CONJECTURE 5 Proof. Consider the following chain of equalities: ] 0 = Tr (A + tb i 1 (A A (A + tb i = Tr A (A + tb 1] ] Tr (A + tb i 1 A (A + tb i = Tr A (A + tb 1] d Tr dy y=1 (Ay + tb]. y=1 = Tr A (A + tb 1] d dy Tr (Ay + tb ] Since S,k (Ay, B = y k S,k (A, B, it follows that the coefficient of t k in the last expression above is just TrAS 1,k (A, B] ( ktrs,k (A, B]. Lea 2.2. Fix integers k > 0. For any two n n atrices A and B, we have Tr S,k (A, B] = k Tr BS 1,k 1(A, B]. Proof. Follows fro Lea 2.1 by taking the trace of both sides of equation (2.1. Let A and B be n n Heritian atrices. Since S,k (A, B is the su of all words of length in A and B with k B s, it follows that the conjugate transpose of S,k (A, B siply perutes its constituent suands. This verifies the following fact. Lea 2.3. If A and B are n n Heritian atrices, then the atrix S,k (A, B is Heritian. Corollary 2.4. The polynoial p(t = Tr (A + tb ] has all real coefficients whenever A and B are n n Heritian atrices. Although S,k (A, B is Heritian for Heritian A and B, it need not be positive definite even when A and B are n n positive definite atrices, n > 2. Exaples are easily generated, and coputational experients suggest that it is usually not positive definite. Finally, we record a useful fact about positive definite congruence. Lea 2.5. Let C be any coplex n n atrix and let A be an n n positive seidefinite atrix. Then CAC is positive seidefinite. Proof. See 9, p. 399]. 3. Derivation of the Euler-Lagrange Equations The arguents for our ain theores are based on a variational observation. It says that an expression TrS,k (A, B] is iniized or axiized when A and B satisfy the Euler-Lagrange equations (see Corollary 3.6. Before presenting a proof of this fact, we give a series of technical preliinaries.

6 6 CHRISTOPHER J. HILLAR Proposition 3.1. Let > k > 0 be positive integers. Let B be any given Heritian n n atrix, and suppose that A is a positive seidefinite atrix of nor 1 that iniizes (resp. axiizes TrS,k (A, B] over all positive seidefinite atrices of nor 1. Let ε > 0, and let C := C(x = (c rs (x be an n n atrix with entries c rs (x = u rs (x + iv rs (x in which u rs and v rs are differentiable functions u rs, v rs : ε, ε] R. Moreover, suppose that C(0 = I and CAC 0 for all x ε, ε]. Then Tr d dx ( CAC CAC S 1,k (A, B] x=0 = 0. Proof. Let A, B, and C be as in the stateent of the theore. Keeping in ind Corollary 2.4, we ay consider the differentiable function f : ε, ε] R given by ( ] CAC f(x = Tr S,k CAC, B. By hypothesis, the iniu (resp. axiu of f is achieved at x = 0. Consequently, it follows that df(x (3.1 dx = 0. x=0 Next, notice that, ( d CAC ] dx Tr CAC + tb ( CAC i 1 = Tr CAC + tb d dx When x = 0, the above expression evaluates to ( Tr (A + tb i 1 d CAC dx CAC = Tr d ( CAC dx CAC It follows, therefore, fro (3.1 that ( d CAC Tr dx CAC ( d CAC = Tr dx ] CAC + tb ( CAC ( CAC CAC + tb CAC + tb (A + tb i ] x=0 (A + tb 1 ] x=0 S 1,k (A, B] x=0 = 0. i ] A corresponding stateent can be ade by fixing A and iniizing (resp. axiizing over B. Proposition 3.2. Let > k > 0 be positive integers. Let A be any given Heritian n n atrix, and let B be a positive seidefinite atrix of nor 1 that iniizes (resp. axiizes TrS,k (A, B] over all positive seidefinite atrices of nor 1. Let ε > 0, and let C := C(x = (c rs (x be an n n atrix with entries c rs (x = u rs (x + iv rs (x in which u rs.

7 ADVANCES ON THE BESSIS-MOUSSA-VILLANI TRACE CONJECTURE 7 and v rs are differentiable functions u rs, v rs : ε, ε] R. Moreover, suppose that C(0 = I and CBC 0 for all x ε, ε]. Then ( d CBC Tr dx CBC S 1,k 1 (A, B] = 0. Proof. The proof is siilar to that of Proposition 3.1, so we oit it. In our next lea, we copute the derivative found in Propositions 3.1 and 3.2. For notational siplicity, the entry-wise derivative of the atrix C evaluated at the point x = 0 will be denoted by C. Lea 3.3. With the hypotheses as in Proposition 3.1, we have ( d CAC (3.2 dx CAC x=0 = C A + AC TrC A 2 ]A TrC A 2 ]A. Proof. A straightforward application of the product rule 10, p. 490] for (atrix differentiation gives ( d CAC dx CAC = d ( ( 1 dx CAC CAC 1 dc + CAC dx AC + CA dc. dx Next, we copute d dx CAC 1 = CAC 2 = CAC 2 d dx x=0 d dx CAC (TrCAC CAC ] 1/2 = (1/2 CAC 2 TrCAC CAC ] 1/2 d dx TrCAC CAC ]. d The product expansion of dx TrCAC CAC ] occurring in this last line is: dc Tr dx AC CAC + CA dc dx CAC + CAC dc ] dx AC + CAC CA dc dx ] ] dc dc = 2Tr dx AC CAC + 2Tr dx AC CAC. Finally, setting x = 0 and using the assuptions that A = 1 and C(0 = I, equation (3.2 follows. We now have enough to prove the ain results of this section. Theore 3.4. Let > k > 0 be positive integers. Let B be any given Heritian n n atrix, and let A be a positive seidefinite atrix of nor 1 that iniizes (resp. axiizes TrS,k (A, B] over all positive seidefinite atrices of nor 1. Then (3.3 AS 1,k (A, B = A 2 TrAS 1,k (A, B]. Proof. Let A and B be as in the hypotheses of the theore. By using different atrices C in the stateent of Proposition 3.1, we will produce a set of equations satisfied by the entries of AS 1,k (A, B that cobine to ake the single atrix equation (3.3. For ease of presentation, we introduce the following notation. For

8 8 CHRISTOPHER J. HILLAR integers r, s, let E rs denote the n n atrix with all zero entries except for a 1 in the (r, s entry. Fix integers 1 r, s n and take C = I + xe rs. Since C is invertible for all x 1/2, 1/2], it follows that CAC 0 for all such x. Therefore, the hypotheses of Lea 3.3 are satisfied. The forula there is ( d CAC dx CAC x=0 = C A + AC TrC A 2 ]A TrC A 2 ]A, in which C is the entry-wise derivative of the atrix C evaluated at the point x = 0. Additionally, Proposition 3.1, along with a trace anipulation, tells us that ( TrC A 2 ] + TrC A 2 ] Tr AS 1,k (A, B] (3.4 = Tr C AS 1,k (A, B + AC S 1,k (A, B] = Tr C AS 1,k (A, B] + Tr S 1,k (A, BAC ] = Tr C AS 1,k (A, B] + Tr C AS 1,k (A, B]. Since C = E rs, a coputation shows that for any atrix N, the trace of C N is just the (s, r entry of N. In particular, it follows fro (3.4 that the (s, r entries of AS 1,k (A, B + AS 1,k (A, B and (A 2 + A 2 TrAS 1,k (A, B] coincide. We have therefore proved that (3.5 AS 1,k (A, B + AS 1,k (A, B = (A 2 + A 2 TrAS 1,k (A, B]. We next perfor a siilar exaination using the atrices C = I + ixe rs to arrive at a second atrix identity. Cobining equation (3.2 and Proposition 3.1 as before, we find that (3.6 AS 1,k (A, B AS 1,k (A, B = (A 2 A 2 TrAS 1,k (A, B]. The theore now follows by adding these two equations and dividing both sides of the result by 2. Siilar arguents using Proposition 3.2 in place of Proposition 3.1 produce the following results. Theore 3.5. Let > k > 0 be positive integers. Let A be any given Heritian n n atrix, and let B be a positive seidefinite atrix of nor 1 that iniizes (resp. axiizes TrS,k (A, B] over all positive seidefinite atrices of nor 1. Then BS 1,k 1 (A, B = B 2 TrAS 1,k 1 (A, B]. Cobining the stateents of this section, we have finally derived the Euler- Lagrange equations (1.1 for Conjecture 1.1. Corollary 3.6. Let > k > 0 be positive integers, and let A and B be positive seidefinite atrices of nor 1 that iniize (resp. axiize the quantity TrS,k (A, B] over all positive seidefinite atrices of nor 1. Then A and B satisfy the following pair of equations: { AS 1,k (A, B = A 2 TrAS 1,k (A, B] BS 1,k 1 (A, B = B 2 TrBS 1,k 1 (A, B].

9 ADVANCES ON THE BESSIS-MOUSSA-VILLANI TRACE CONJECTURE 9 Our proof generalizes to show that the sae equations hold for Heritian iniizers (resp. axiizers, or ore generally, for classes of unit nor atrices with the sae inertia. This result is the ain ingredient in our proof of Theore 1.4 concerning the axiu of TrS,k (A, B]. Corollary 3.7. Let > k > 0 be positive integers, and let A and B be Heritian atrices of nor 1 that iniize (resp. axiize TrS,k (A, B] over all Heritian atrices of nor 1. Then A and B ust satisfy the following pair of equations: { AS 1,k (A, B = A 2 TrAS 1,k (A, B] BS 1,k 1 (A, B = B 2 TrBS 1,k 1 (A, B]. In general, we conjecture that trace iniizers coute (Conjecture 1.6, a clai that would iply Conjecture 1.1. We close this section with one ore application of the Euler-Lagrange equations. Corollary 3.8. Suppose that the iniu of TrS,k (A, B] over the set of positive seidefinite atrices is zero, and let A and B be positive seidefinite atrices that achieve this iniu. Then, S,k (A, B = 0. Proof. When k = or k = 0, the clai is clear. Therefore, suppose that > k > 0. Let A and B be positive seidefinite atrices with TrS,k (A, B] = 0. If either A or B is zero then the corollary is trivial. Otherwise, consider 0 = TrS,k(A, B] A k B k = TrS,k(Ã, B], in which à = A/ A and B = B/ B. Cobining equations (1.1 with the assuptions, it follows that ÃS 1,k(Ã, B = 0 and BS 1,k 1 (Ã, B = 0. Moreover, equation (2.1 iplies that S,k (Ã, B = ÃS 1,k(Ã, B + BS 1,k 1 (Ã, B = 0. Multiplying both sides of this identity by A k B k copletes the proof. 4. Proofs of the Main Theores We first use the Euler-Lagrange equations to prove Theore 1.4. Proof of Theore 1.4. Let > 1 and n be positive integers. Since our arguents are the sae in both cases, we consider deterining the axiu of TrS,k (A, B]. Let M be the copact set of Heritian atrices with nor 1 and choose (A, B M M that axiizes TrS,k (A, B]. If k = 0, then the desired inequality is of the for n n TrA ] λ i λ 2 i = A = 1, in which λ 1,..., λ n are the eigenvalues of A. A siilar arguent holds for = k. Therefore, we assue below that > k > 0. The Euler-Lagrange equations fro Corollary 3.7 iply that (4.1 AS 1,k (A, B = A 2 TrAS 1 (A, B]. Perforing a unifor, unitary siilarity, we ay assue that A is diagonal of the for A = diag(λ 1,..., λ r, 0,..., 0, in which λ 1,..., λ r are nonzero. Let

10 10 CHRISTOPHER J. HILLAR Ã = diag(λ 1 1,..., λ 1 r, 0,..., 0 be the pseudo-inverse of A, and set D = ÃA. Multiplying both sides of (4.1 by Ã, it follows that DS 1,k (A, B = ATrAS 1,k (A, B]. Taking the nor of both sides of this expression and applying Lea 2.1, we have ( k 1 (4.2 TrS,k(A, B] = DS 1,k (A, B S 1,k (A, B. k It follows that ( ( k TrS,k (A, B] 1 ( k k = k as desired. We next verify the final assertions in the stateent of the theore. Fro above, every inequality in the chain (4.2 is an equality. Thus, each ter occurring in S 1,k (A, B = W (A, B, W a su over length 1 words W with k B s, takes the value 1. In particular, we have that 1 = A k 1 B k. When 1 > k > 1, an application of Lea 4.1 below copletes the proof of the theore. The reaining cases k = 1 or = k + 1 are dealt with as follows. Without loss of generality, we ay suppose that k = 1 (interchange the roles of the atrices A and B. Applying the Cauchy-Schwartz inequality, we obtain the following chain of inequalities: ( n 2 n n (4.3 1 = TrA 1 B] 2 = λ 1 i b ii (λ 2 i 1 b 2 ii A B = 1. It follows that each inequality in (4.3 is an equality. In particular, the second-tolast identity says that B is diagonal. Moreover, equality in Cauchy-Schwartz iplies that λ 1 i = δb ii for soe real nuber δ and all i. Since 1 = n λ 1 i b ii = δ 2, it follows that A = ±B. If, in addition, > 2 and A has ore than 1 nonzero eigenvalue, then n n n 1 = λ 2 i > (λ 2 i 1 = b 2 ii = 1, a contradiction. Therefore, the conclusions of the theore hold for k = 1. Lea 4.1. Suppose that A and B are Heritian atrices of nor 1 and r > 0 and s > 1 are integers such that A r B s = 1. Then, A = ±B has only 1 nonzero eigenvalue. Proof. Perforing a unifor, unitary siilarity, we ay suppose that B is a diagonal atrix with entries less than or equal to 1 in absolute value. Fro the hypotheses, we have 1 = A r B s A r B s A r B s = 1. Therefore, B s = 1 = B, and since s > 1, this iplies that B has a single nonzero eigenvalue. It follows that A r B s = A r B = 1 is equal to the absolute value of the (1, 1 entry of A r. Finally, since A r = 1, the atrix A r has only one nonzero entry, and therefore, A has only one nonzero eigenvalue. Thus, A r = ±A and since A r = ±B, it follows that A = ±B. The arguent for our next result uses the following well-known fact; we provide a proof for copleteness (see also Theore and Proble 9, p. 468 in 9].

11 ADVANCES ON THE BESSIS-MOUSSA-VILLANI TRACE CONJECTURE 11 Lea 4.2. If P and Q are positive seidefinite atrices, then P Q has all nonnegative eigenvalues. Proof. Suppose first that P is positive definite. Then P Q is siilar to P 1/2 P QP 1/2 = P 1/2 QP 1/2. In particular, P Q is siilar to a positive seidefinite atrix by Lea 2.5. Therefore, in this case P Q has all nonnegative eigenvalues. The general version of the clai now follows fro continuity. We are now prepared to present a proof that counterexaples to Conjecture 1.1 are closed upward. Theore 1.10 closely follows. Proof of Theore 1.7. Suppose that Conjecture 1.1 is false for soe and k and let A and B be real positive seidefinite atrices of unit nor that iniize TrS,k (A, B] = k TrAS 1,k(A, B] = k TrBS 1,k 1(A, B]. We show that for these sae atrices A and B, we have TrS +1,k (A, B] < 0 and TrS +1,k+1 (A, B] < 0. Cobining equation (2.1 and the identities (1.1 fro Corollary 3.6, it follows that (4.4 S,k (A, B = A 2 TrAS 1,k (A, B] + B 2 TrBS 1,k 1 (A, B]. This atrix is negative seidefinite since it is the su of two such atrices. Hence, the product AS,k (A, B has all non-positive eigenvalues by Lea 4.2. Thus, Lea 2.1 iplies that (4.5 TrS +1,k (A, B] = + 1 k TrAS,k(A, B] 0. In the case of equality, ultiplying equation (4.4 on the left by A and taking the trace of both sides, it follows that 0 = TrA 3 ]TrAS 1,k (A, B] + TrAB 2 ]TrBS 1,k 1 (A, B]. However, TrAB 2 ] 0 by Lea 4.2 and since A is nonzero, we ust have TrA 3 ] > 0. This gives a contradiction to equality in (4.5. It follows that TrS +1,k (A, B] < 0 as desired. In the sae anner, we can also prove that TrS +1,k+1 (A, B] = + 1 k + 1 TrBS,k(A, B] is negative. The conclusions of the theore now follow iediately. Proof of Theore We first prove the direction ( using the contrapositive. Suppose that TrS,k (A, B] can be ade negative. The proof of Theore 1.7 shows that there exist positive seidefinite atrices A and B such that S,k (A, B is negative seidefinite and TrS,k (A, B] < 0 (so that S,k (A, B is nonzero. It follows that the second iplication in the stateent of the theore is false. The converse is clear. Finally, we work out the proof of Theore 1.13; the arguent is siilar in spirit to the proof of Theore 1.4.

12 12 CHRISTOPHER J. HILLAR Proof of Theore Suppose we know that Conjecture 1.1 is true for the power 1 and also suppose that for soe k there exist n n positive definite atrices A and B such that TrS,k (A, B] is negative. Clearly, we ust have > k > 0. By hoogeneity, there are positive definite A and B with nor 1 such that TrS,k (A, B] is negative. Let M be the set of positive seidefinite atrices with nor 1 and choose (A, B M M that iniizes TrS,k (A, B]; our goal is to show that A and B ust both be singular. Suppose by way of contradiction that A is invertible. The Euler-Lagrange equations say that AS 1,k (A, B = A 2 TrAS 1,k (A, B]. Multiplying both sides of this equation by A 1 and taking the trace, it follows that TrS 1,k (A, B] = TrA]TrAS 1,k (A, B]. By hypothesis, TrS 1,k (A, B] is nonnegative. Therefore, using Lea 2.1, we have k Tr S,k(A, B] = Tr AS 1,k (A, B] = TrS 1,k(A, B] TrA] 0, a contradiction (TrA] is nonzero since A is nonzero. It follows that A ust be singular. A siilar exaination with B also shows that it ust be singular. Thus, if Conjecture 1.1 is true for singular A and B, it ust be true for invertible A and B as well. This copletes the proof of the theore. 5. Acknowledgents We would like to thank Scott Arstrong for several interesting and useful rearks concerning a preliinary version of this anuscript. References 1] D. Bessis, P. Moussa and M. Villani, Monotonic converging variational approxiations to the functional integrals in quantu statistical echanics, J. Math. Phys. 16 (1975, ] K. J. Le Couteur, Representation of the function Tr(exp(A λb as a Laplace transfor with positive weight and soe atrix inequalities, J. Phys. A: Math. Gen. 13 (1980, ] K. J. Le Couteur, Soe probles of statistical echanics and exponential operators, pp in Proceedings of the International Conference and Winter School of Frontiers of Theoretical Physics, eds. F. C. Auluck, L.S. Kothari, V.S. Nanda, Indian National Acadey, New Dehli, 1977, Published by the Mac Millan Copany of India, ] M. Drota, W. Schacherayer and J. Teichann, A hyper-geoetric approach to the BMVconjecture, Monatshefte fur Matheatik 146 (2005, ] M. Fannes and D. Petz, Perturbation of Wigner atrices and a conjecture, Proc. Aer. Math. Soc. 131 (2003, ] D. Hägele, Proof of the cases p 7 of the Lieb-Seiringer forulation of the Bessis-Moussa- Villani conjecture, J. Stat. Phys., to appear. (DOI: /s ] F. Hansen, Trace functions as Laplace transfors, J. Math. Phys., ( ] C. Hillar and C. R. Johnson, On the positivity of the coefficients of a certain polynoial defined by two positive definite atrices, J. Stat. Phys., 118 (2005, ] R. Horn and C. R. Johnson, Matrix analysis, Cabridge University Press, New York, ] R. Horn and C. R. Johnson, Topics in atrix analysis, Cabridge University Press, New York, 1991.

13 ADVANCES ON THE BESSIS-MOUSSA-VILLANI TRACE CONJECTURE 13 11] C. R. Johnson and C. Hillar, Eigenvalues of words in two positive definite letters, SIAM J. Matrix Anal. Appl., 23 (2002, ] I. Klep and M. Schweighofer, private counication, ] E. H. Lieb and R. Seiringer, Equivalent fors of the Bessis-Moussa-Villani conjecture, J. Stat. Phys., 115 (2004, ] Nathan Miller, 3 3 cases of the Bessis-Moussa-Villani conjecture, Princeton University Senior Thesis, ] P. Moussa, On the representation of Tr `e A λb as a Laplace transfor, Rev. Math. Phys. 12, (2000. Departent of Matheatics, Texas A&M University, College Station, TX E-ail address: chillar@ath.tau.edu

arxiv:math/ v2 [math.oa] 8 Oct 2006

arxiv:math/ v2 [math.oa] 8 Oct 2006 arxiv:math/0507166v2 math.oa] 8 Oct 2006 ADVANCES ON THE BESSIS- MOUSSA-VILLANI TRACE CONJECTURE CHRISTOPHER J. HILLAR Abstract. A long-standing conjecture asserts that the polynomial p(t = Tr(A + tb m

More information

A note on the realignment criterion

A note on the realignment criterion A note on the realignent criterion Chi-Kwong Li 1, Yiu-Tung Poon and Nung-Sing Sze 3 1 Departent of Matheatics, College of Willia & Mary, Williasburg, VA 3185, USA Departent of Matheatics, Iowa State University,

More information

Partial traces and entropy inequalities

Partial traces and entropy inequalities Linear Algebra and its Applications 370 (2003) 125 132 www.elsevier.co/locate/laa Partial traces and entropy inequalities Rajendra Bhatia Indian Statistical Institute, 7, S.J.S. Sansanwal Marg, New Delhi

More information

Chapter 6 1-D Continuous Groups

Chapter 6 1-D Continuous Groups Chapter 6 1-D Continuous Groups Continuous groups consist of group eleents labelled by one or ore continuous variables, say a 1, a 2,, a r, where each variable has a well- defined range. This chapter explores:

More information

A Bernstein-Markov Theorem for Normed Spaces

A Bernstein-Markov Theorem for Normed Spaces A Bernstein-Markov Theore for Nored Spaces Lawrence A. Harris Departent of Matheatics, University of Kentucky Lexington, Kentucky 40506-0027 Abstract Let X and Y be real nored linear spaces and let φ :

More information

ON SOME MATRIX INEQUALITIES. Hyun Deok Lee. 1. Introduction Matrix inequalities play an important role in statistical mechanics([1,3,6,7]).

ON SOME MATRIX INEQUALITIES. Hyun Deok Lee. 1. Introduction Matrix inequalities play an important role in statistical mechanics([1,3,6,7]). Korean J. Math. 6 (2008), No. 4, pp. 565 57 ON SOME MATRIX INEQUALITIES Hyun Deok Lee Abstract. In this paper we present soe trace inequalities for positive definite atrices in statistical echanics. In

More information

Uniform Approximation and Bernstein Polynomials with Coefficients in the Unit Interval

Uniform Approximation and Bernstein Polynomials with Coefficients in the Unit Interval Unifor Approxiation and Bernstein Polynoials with Coefficients in the Unit Interval Weiang Qian and Marc D. Riedel Electrical and Coputer Engineering, University of Minnesota 200 Union St. S.E. Minneapolis,

More information

Algebraic Montgomery-Yang problem: the log del Pezzo surface case

Algebraic Montgomery-Yang problem: the log del Pezzo surface case c 2014 The Matheatical Society of Japan J. Math. Soc. Japan Vol. 66, No. 4 (2014) pp. 1073 1089 doi: 10.2969/jsj/06641073 Algebraic Montgoery-Yang proble: the log del Pezzo surface case By DongSeon Hwang

More information

A1. Find all ordered pairs (a, b) of positive integers for which 1 a + 1 b = 3

A1. Find all ordered pairs (a, b) of positive integers for which 1 a + 1 b = 3 A. Find all ordered pairs a, b) of positive integers for which a + b = 3 08. Answer. The six ordered pairs are 009, 08), 08, 009), 009 337, 674) = 35043, 674), 009 346, 673) = 3584, 673), 674, 009 337)

More information

Physics 215 Winter The Density Matrix

Physics 215 Winter The Density Matrix Physics 215 Winter 2018 The Density Matrix The quantu space of states is a Hilbert space H. Any state vector ψ H is a pure state. Since any linear cobination of eleents of H are also an eleent of H, it

More information

Polygonal Designs: Existence and Construction

Polygonal Designs: Existence and Construction Polygonal Designs: Existence and Construction John Hegean Departent of Matheatics, Stanford University, Stanford, CA 9405 Jeff Langford Departent of Matheatics, Drake University, Des Moines, IA 5011 G

More information

Feature Extraction Techniques

Feature Extraction Techniques Feature Extraction Techniques Unsupervised Learning II Feature Extraction Unsupervised ethods can also be used to find features which can be useful for categorization. There are unsupervised ethods that

More information

Bipartite subgraphs and the smallest eigenvalue

Bipartite subgraphs and the smallest eigenvalue Bipartite subgraphs and the sallest eigenvalue Noga Alon Benny Sudaov Abstract Two results dealing with the relation between the sallest eigenvalue of a graph and its bipartite subgraphs are obtained.

More information

Curious Bounds for Floor Function Sums

Curious Bounds for Floor Function Sums 1 47 6 11 Journal of Integer Sequences, Vol. 1 (018), Article 18.1.8 Curious Bounds for Floor Function Sus Thotsaporn Thanatipanonda and Elaine Wong 1 Science Division Mahidol University International

More information

arxiv: v1 [cs.ds] 29 Jan 2012

arxiv: v1 [cs.ds] 29 Jan 2012 A parallel approxiation algorith for ixed packing covering seidefinite progras arxiv:1201.6090v1 [cs.ds] 29 Jan 2012 Rahul Jain National U. Singapore January 28, 2012 Abstract Penghui Yao National U. Singapore

More information

THE POLYNOMIAL REPRESENTATION OF THE TYPE A n 1 RATIONAL CHEREDNIK ALGEBRA IN CHARACTERISTIC p n

THE POLYNOMIAL REPRESENTATION OF THE TYPE A n 1 RATIONAL CHEREDNIK ALGEBRA IN CHARACTERISTIC p n THE POLYNOMIAL REPRESENTATION OF THE TYPE A n RATIONAL CHEREDNIK ALGEBRA IN CHARACTERISTIC p n SHEELA DEVADAS AND YI SUN Abstract. We study the polynoial representation of the rational Cherednik algebra

More information

List Scheduling and LPT Oliver Braun (09/05/2017)

List Scheduling and LPT Oliver Braun (09/05/2017) List Scheduling and LPT Oliver Braun (09/05/207) We investigate the classical scheduling proble P ax where a set of n independent jobs has to be processed on 2 parallel and identical processors (achines)

More information

3.8 Three Types of Convergence

3.8 Three Types of Convergence 3.8 Three Types of Convergence 3.8 Three Types of Convergence 93 Suppose that we are given a sequence functions {f k } k N on a set X and another function f on X. What does it ean for f k to converge to

More information

The Hilbert Schmidt version of the commutator theorem for zero trace matrices

The Hilbert Schmidt version of the commutator theorem for zero trace matrices The Hilbert Schidt version of the coutator theore for zero trace atrices Oer Angel Gideon Schechtan March 205 Abstract Let A be a coplex atrix with zero trace. Then there are atrices B and C such that

More information

4 = (0.02) 3 13, = 0.25 because = 25. Simi-

4 = (0.02) 3 13, = 0.25 because = 25. Simi- Theore. Let b and be integers greater than. If = (. a a 2 a i ) b,then for any t N, in base (b + t), the fraction has the digital representation = (. a a 2 a i ) b+t, where a i = a i + tk i with k i =

More information

Generalized eigenfunctions and a Borel Theorem on the Sierpinski Gasket.

Generalized eigenfunctions and a Borel Theorem on the Sierpinski Gasket. Generalized eigenfunctions and a Borel Theore on the Sierpinski Gasket. Kasso A. Okoudjou, Luke G. Rogers, and Robert S. Strichartz May 26, 2006 1 Introduction There is a well developed theory (see [5,

More information

On the Existence of Pure Nash Equilibria in Weighted Congestion Games

On the Existence of Pure Nash Equilibria in Weighted Congestion Games MATHEMATICS OF OPERATIONS RESEARCH Vol. 37, No. 3, August 2012, pp. 419 436 ISSN 0364-765X (print) ISSN 1526-5471 (online) http://dx.doi.org/10.1287/oor.1120.0543 2012 INFORMS On the Existence of Pure

More information

Lecture 21. Interior Point Methods Setup and Algorithm

Lecture 21. Interior Point Methods Setup and Algorithm Lecture 21 Interior Point Methods In 1984, Kararkar introduced a new weakly polynoial tie algorith for solving LPs [Kar84a], [Kar84b]. His algorith was theoretically faster than the ellipsoid ethod and

More information

Lecture 9 November 23, 2015

Lecture 9 November 23, 2015 CSC244: Discrepancy Theory in Coputer Science Fall 25 Aleksandar Nikolov Lecture 9 Noveber 23, 25 Scribe: Nick Spooner Properties of γ 2 Recall that γ 2 (A) is defined for A R n as follows: γ 2 (A) = in{r(u)

More information

New upper bound for the B-spline basis condition number II. K. Scherer. Institut fur Angewandte Mathematik, Universitat Bonn, Bonn, Germany.

New upper bound for the B-spline basis condition number II. K. Scherer. Institut fur Angewandte Mathematik, Universitat Bonn, Bonn, Germany. New upper bound for the B-spline basis condition nuber II. A proof of de Boor's 2 -conjecture K. Scherer Institut fur Angewandte Matheati, Universitat Bonn, 535 Bonn, Gerany and A. Yu. Shadrin Coputing

More information

ON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD

ON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD PROCEEDINGS OF THE YEREVAN STATE UNIVERSITY Physical and Matheatical Sciences 04,, p. 7 5 ON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD M a t h e a t i c s Yu. A. HAKOPIAN, R. Z. HOVHANNISYAN

More information

The Fundamental Basis Theorem of Geometry from an algebraic point of view

The Fundamental Basis Theorem of Geometry from an algebraic point of view Journal of Physics: Conference Series PAPER OPEN ACCESS The Fundaental Basis Theore of Geoetry fro an algebraic point of view To cite this article: U Bekbaev 2017 J Phys: Conf Ser 819 012013 View the article

More information

arxiv: v1 [math.co] 19 Apr 2017

arxiv: v1 [math.co] 19 Apr 2017 PROOF OF CHAPOTON S CONJECTURE ON NEWTON POLYTOPES OF q-ehrhart POLYNOMIALS arxiv:1704.0561v1 [ath.co] 19 Apr 017 JANG SOO KIM AND U-KEUN SONG Abstract. Recently, Chapoton found a q-analog of Ehrhart polynoials,

More information

Model Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon

Model Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon Model Fitting CURM Background Material, Fall 014 Dr. Doreen De Leon 1 Introduction Given a set of data points, we often want to fit a selected odel or type to the data (e.g., we suspect an exponential

More information

The concavity and convexity of the Boros Moll sequences

The concavity and convexity of the Boros Moll sequences The concavity and convexity of the Boros Moll sequences Ernest X.W. Xia Departent of Matheatics Jiangsu University Zhenjiang, Jiangsu 1013, P.R. China ernestxwxia@163.co Subitted: Oct 1, 013; Accepted:

More information

A Note on Scheduling Tall/Small Multiprocessor Tasks with Unit Processing Time to Minimize Maximum Tardiness

A Note on Scheduling Tall/Small Multiprocessor Tasks with Unit Processing Time to Minimize Maximum Tardiness A Note on Scheduling Tall/Sall Multiprocessor Tasks with Unit Processing Tie to Miniize Maxiu Tardiness Philippe Baptiste and Baruch Schieber IBM T.J. Watson Research Center P.O. Box 218, Yorktown Heights,

More information

The Weierstrass Approximation Theorem

The Weierstrass Approximation Theorem 36 The Weierstrass Approxiation Theore Recall that the fundaental idea underlying the construction of the real nubers is approxiation by the sipler rational nubers. Firstly, nubers are often deterined

More information

13.2 Fully Polynomial Randomized Approximation Scheme for Permanent of Random 0-1 Matrices

13.2 Fully Polynomial Randomized Approximation Scheme for Permanent of Random 0-1 Matrices CS71 Randoness & Coputation Spring 018 Instructor: Alistair Sinclair Lecture 13: February 7 Disclaier: These notes have not been subjected to the usual scrutiny accorded to foral publications. They ay

More information

Chaotic Coupled Map Lattices

Chaotic Coupled Map Lattices Chaotic Coupled Map Lattices Author: Dustin Keys Advisors: Dr. Robert Indik, Dr. Kevin Lin 1 Introduction When a syste of chaotic aps is coupled in a way that allows the to share inforation about each

More information

Optimal Jamming Over Additive Noise: Vector Source-Channel Case

Optimal Jamming Over Additive Noise: Vector Source-Channel Case Fifty-first Annual Allerton Conference Allerton House, UIUC, Illinois, USA October 2-3, 2013 Optial Jaing Over Additive Noise: Vector Source-Channel Case Erah Akyol and Kenneth Rose Abstract This paper

More information

3.3 Variational Characterization of Singular Values

3.3 Variational Characterization of Singular Values 3.3. Variational Characterization of Singular Values 61 3.3 Variational Characterization of Singular Values Since the singular values are square roots of the eigenvalues of the Heritian atrices A A and

More information

Semicircle law for generalized Curie-Weiss matrix ensembles at subcritical temperature

Semicircle law for generalized Curie-Weiss matrix ensembles at subcritical temperature Seicircle law for generalized Curie-Weiss atrix ensebles at subcritical teperature Werner Kirsch Fakultät für Matheatik und Inforatik FernUniversität in Hagen, Gerany Thoas Kriecherbauer Matheatisches

More information

NORMAL MATRIX POLYNOMIALS WITH NONSINGULAR LEADING COEFFICIENTS

NORMAL MATRIX POLYNOMIALS WITH NONSINGULAR LEADING COEFFICIENTS NORMAL MATRIX POLYNOMIALS WITH NONSINGULAR LEADING COEFFICIENTS NIKOLAOS PAPATHANASIOU AND PANAYIOTIS PSARRAKOS Abstract. In this paper, we introduce the notions of weakly noral and noral atrix polynoials,

More information

Topic 5a Introduction to Curve Fitting & Linear Regression

Topic 5a Introduction to Curve Fitting & Linear Regression /7/08 Course Instructor Dr. Rayond C. Rup Oice: A 337 Phone: (95) 747 6958 E ail: rcrup@utep.edu opic 5a Introduction to Curve Fitting & Linear Regression EE 4386/530 Coputational ethods in EE Outline

More information

IN modern society that various systems have become more

IN modern society that various systems have become more Developent of Reliability Function in -Coponent Standby Redundant Syste with Priority Based on Maxiu Entropy Principle Ryosuke Hirata, Ikuo Arizono, Ryosuke Toohiro, Satoshi Oigawa, and Yasuhiko Takeoto

More information

The Transactional Nature of Quantum Information

The Transactional Nature of Quantum Information The Transactional Nature of Quantu Inforation Subhash Kak Departent of Coputer Science Oklahoa State University Stillwater, OK 7478 ABSTRACT Inforation, in its counications sense, is a transactional property.

More information

On Certain C-Test Words for Free Groups

On Certain C-Test Words for Free Groups Journal of Algebra 247, 509 540 2002 doi:10.1006 jabr.2001.9001, available online at http: www.idealibrary.co on On Certain C-Test Words for Free Groups Donghi Lee Departent of Matheatics, Uni ersity of

More information

On Conditions for Linearity of Optimal Estimation

On Conditions for Linearity of Optimal Estimation On Conditions for Linearity of Optial Estiation Erah Akyol, Kuar Viswanatha and Kenneth Rose {eakyol, kuar, rose}@ece.ucsb.edu Departent of Electrical and Coputer Engineering University of California at

More information

APPROXIMATION BY MODIFIED SZÁSZ-MIRAKYAN OPERATORS

APPROXIMATION BY MODIFIED SZÁSZ-MIRAKYAN OPERATORS APPROXIMATION BY MODIFIED SZÁSZ-MIRAKYAN OPERATORS Received: 23 Deceber, 2008 Accepted: 28 May, 2009 Counicated by: L. REMPULSKA AND S. GRACZYK Institute of Matheatics Poznan University of Technology ul.

More information

On the Inapproximability of Vertex Cover on k-partite k-uniform Hypergraphs

On the Inapproximability of Vertex Cover on k-partite k-uniform Hypergraphs On the Inapproxiability of Vertex Cover on k-partite k-unifor Hypergraphs Venkatesan Guruswai and Rishi Saket Coputer Science Departent Carnegie Mellon University Pittsburgh, PA 1513. Abstract. Coputing

More information

Linear recurrences and asymptotic behavior of exponential sums of symmetric boolean functions

Linear recurrences and asymptotic behavior of exponential sums of symmetric boolean functions Linear recurrences and asyptotic behavior of exponential sus of syetric boolean functions Francis N. Castro Departent of Matheatics University of Puerto Rico, San Juan, PR 00931 francis.castro@upr.edu

More information

arxiv: v1 [math.nt] 14 Sep 2014

arxiv: v1 [math.nt] 14 Sep 2014 ROTATION REMAINDERS P. JAMESON GRABER, WASHINGTON AND LEE UNIVERSITY 08 arxiv:1409.411v1 [ath.nt] 14 Sep 014 Abstract. We study properties of an array of nubers, called the triangle, in which each row

More information

The Euler-Maclaurin Formula and Sums of Powers

The Euler-Maclaurin Formula and Sums of Powers DRAFT VOL 79, NO 1, FEBRUARY 26 1 The Euler-Maclaurin Forula and Sus of Powers Michael Z Spivey University of Puget Sound Tacoa, WA 98416 spivey@upsedu Matheaticians have long been intrigued by the su

More information

THE AVERAGE NORM OF POLYNOMIALS OF FIXED HEIGHT

THE AVERAGE NORM OF POLYNOMIALS OF FIXED HEIGHT THE AVERAGE NORM OF POLYNOMIALS OF FIXED HEIGHT PETER BORWEIN AND KWOK-KWONG STEPHEN CHOI Abstract. Let n be any integer and ( n ) X F n : a i z i : a i, ± i be the set of all polynoials of height and

More information

1 Bounding the Margin

1 Bounding the Margin COS 511: Theoretical Machine Learning Lecturer: Rob Schapire Lecture #12 Scribe: Jian Min Si March 14, 2013 1 Bounding the Margin We are continuing the proof of a bound on the generalization error of AdaBoost

More information

Solutions 1. Introduction to Coding Theory - Spring 2010 Solutions 1. Exercise 1.1. See Examples 1.2 and 1.11 in the course notes.

Solutions 1. Introduction to Coding Theory - Spring 2010 Solutions 1. Exercise 1.1. See Examples 1.2 and 1.11 in the course notes. Solutions 1 Exercise 1.1. See Exaples 1.2 and 1.11 in the course notes. Exercise 1.2. Observe that the Haing distance of two vectors is the iniu nuber of bit flips required to transfor one into the other.

More information

Distributed Subgradient Methods for Multi-agent Optimization

Distributed Subgradient Methods for Multi-agent Optimization 1 Distributed Subgradient Methods for Multi-agent Optiization Angelia Nedić and Asuan Ozdaglar October 29, 2007 Abstract We study a distributed coputation odel for optiizing a su of convex objective functions

More information

Stability Ordinates of Adams Predictor-Corrector Methods

Stability Ordinates of Adams Predictor-Corrector Methods BIT anuscript No. will be inserted by the editor Stability Ordinates of Adas Predictor-Corrector Methods Michelle L. Ghrist Jonah A. Reeger Bengt Fornberg Received: date / Accepted: date Abstract How far

More information

ON SEQUENCES OF NUMBERS IN GENERALIZED ARITHMETIC AND GEOMETRIC PROGRESSIONS

ON SEQUENCES OF NUMBERS IN GENERALIZED ARITHMETIC AND GEOMETRIC PROGRESSIONS Palestine Journal of Matheatics Vol 4) 05), 70 76 Palestine Polytechnic University-PPU 05 ON SEQUENCES OF NUMBERS IN GENERALIZED ARITHMETIC AND GEOMETRIC PROGRESSIONS Julius Fergy T Rabago Counicated by

More information

A new type of lower bound for the largest eigenvalue of a symmetric matrix

A new type of lower bound for the largest eigenvalue of a symmetric matrix Linear Algebra and its Applications 47 7 9 9 www.elsevier.co/locate/laa A new type of lower bound for the largest eigenvalue of a syetric atrix Piet Van Mieghe Delft University of Technology, P.O. Box

More information

Lectures 8 & 9: The Z-transform.

Lectures 8 & 9: The Z-transform. Lectures 8 & 9: The Z-transfor. 1. Definitions. The Z-transfor is defined as a function series (a series in which each ter is a function of one or ore variables: Z[] where is a C valued function f : N

More information

Beyond Mere Convergence

Beyond Mere Convergence Beyond Mere Convergence Jaes A. Sellers Departent of Matheatics The Pennsylvania State University 07 Whitore Laboratory University Park, PA 680 sellers@ath.psu.edu February 5, 00 REVISED Abstract In this

More information

Poly-Bernoulli Numbers and Eulerian Numbers

Poly-Bernoulli Numbers and Eulerian Numbers 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol. 21 (2018, Article 18.6.1 Poly-Bernoulli Nubers and Eulerian Nubers Beáta Bényi Faculty of Water Sciences National University of Public Service H-1441

More information

. The univariate situation. It is well-known for a long tie that denoinators of Pade approxiants can be considered as orthogonal polynoials with respe

. The univariate situation. It is well-known for a long tie that denoinators of Pade approxiants can be considered as orthogonal polynoials with respe PROPERTIES OF MULTIVARIATE HOMOGENEOUS ORTHOGONAL POLYNOMIALS Brahi Benouahane y Annie Cuyt? Keywords Abstract It is well-known that the denoinators of Pade approxiants can be considered as orthogonal

More information

Support Vector Machine Classification of Uncertain and Imbalanced data using Robust Optimization

Support Vector Machine Classification of Uncertain and Imbalanced data using Robust Optimization Recent Researches in Coputer Science Support Vector Machine Classification of Uncertain and Ibalanced data using Robust Optiization RAGHAV PAT, THEODORE B. TRAFALIS, KASH BARKER School of Industrial Engineering

More information

M ath. Res. Lett. 15 (2008), no. 2, c International Press 2008 SUM-PRODUCT ESTIMATES VIA DIRECTED EXPANDERS. Van H. Vu. 1.

M ath. Res. Lett. 15 (2008), no. 2, c International Press 2008 SUM-PRODUCT ESTIMATES VIA DIRECTED EXPANDERS. Van H. Vu. 1. M ath. Res. Lett. 15 (2008), no. 2, 375 388 c International Press 2008 SUM-PRODUCT ESTIMATES VIA DIRECTED EXPANDERS Van H. Vu Abstract. Let F q be a finite field of order q and P be a polynoial in F q[x

More information

Convex Programming for Scheduling Unrelated Parallel Machines

Convex Programming for Scheduling Unrelated Parallel Machines Convex Prograing for Scheduling Unrelated Parallel Machines Yossi Azar Air Epstein Abstract We consider the classical proble of scheduling parallel unrelated achines. Each job is to be processed by exactly

More information

Answers to Econ 210A Midterm, October A. The function f is homogeneous of degree 1/2. To see this, note that for all t > 0 and all (x 1, x 2 )

Answers to Econ 210A Midterm, October A. The function f is homogeneous of degree 1/2. To see this, note that for all t > 0 and all (x 1, x 2 ) Question. Answers to Econ 20A Midter, October 200 f(x, x 2 ) = ax {x, x 2 } A. The function f is hoogeneous of degree /2. To see this, note that for all t > 0 and all (x, x 2 ) f(tx, x 2 ) = ax {tx, tx

More information

Research Article Some Formulae of Products of the Apostol-Bernoulli and Apostol-Euler Polynomials

Research Article Some Formulae of Products of the Apostol-Bernoulli and Apostol-Euler Polynomials Discrete Dynaics in Nature and Society Volue 202, Article ID 927953, pages doi:055/202/927953 Research Article Soe Forulae of Products of the Apostol-Bernoulli and Apostol-Euler Polynoials Yuan He and

More information

Math Reviews classifications (2000): Primary 54F05; Secondary 54D20, 54D65

Math Reviews classifications (2000): Primary 54F05; Secondary 54D20, 54D65 The Monotone Lindelöf Property and Separability in Ordered Spaces by H. Bennett, Texas Tech University, Lubbock, TX 79409 D. Lutzer, College of Willia and Mary, Williasburg, VA 23187-8795 M. Matveev, Irvine,

More information

Numerically repeated support splitting and merging phenomena in a porous media equation with strong absorption. Kenji Tomoeda

Numerically repeated support splitting and merging phenomena in a porous media equation with strong absorption. Kenji Tomoeda Journal of Math-for-Industry, Vol. 3 (C-), pp. Nuerically repeated support splitting and erging phenoena in a porous edia equation with strong absorption To the eory of y friend Professor Nakaki. Kenji

More information

E0 370 Statistical Learning Theory Lecture 5 (Aug 25, 2011)

E0 370 Statistical Learning Theory Lecture 5 (Aug 25, 2011) E0 370 Statistical Learning Theory Lecture 5 Aug 5, 0 Covering Nubers, Pseudo-Diension, and Fat-Shattering Diension Lecturer: Shivani Agarwal Scribe: Shivani Agarwal Introduction So far we have seen how

More information

Acyclic Colorings of Directed Graphs

Acyclic Colorings of Directed Graphs Acyclic Colorings of Directed Graphs Noah Golowich Septeber 9, 014 arxiv:1409.7535v1 [ath.co] 6 Sep 014 Abstract The acyclic chroatic nuber of a directed graph D, denoted χ A (D), is the iniu positive

More information

A Better Algorithm For an Ancient Scheduling Problem. David R. Karger Steven J. Phillips Eric Torng. Department of Computer Science

A Better Algorithm For an Ancient Scheduling Problem. David R. Karger Steven J. Phillips Eric Torng. Department of Computer Science A Better Algorith For an Ancient Scheduling Proble David R. Karger Steven J. Phillips Eric Torng Departent of Coputer Science Stanford University Stanford, CA 9435-4 Abstract One of the oldest and siplest

More information

The Methods of Solution for Constrained Nonlinear Programming

The Methods of Solution for Constrained Nonlinear Programming Research Inventy: International Journal Of Engineering And Science Vol.4, Issue 3(March 2014), PP 01-06 Issn (e): 2278-4721, Issn (p):2319-6483, www.researchinventy.co The Methods of Solution for Constrained

More information

Four-vector, Dirac spinor representation and Lorentz Transformations

Four-vector, Dirac spinor representation and Lorentz Transformations Available online at www.pelagiaresearchlibrary.co Advances in Applied Science Research, 2012, 3 (2):749-756 Four-vector, Dirac spinor representation and Lorentz Transforations S. B. Khasare 1, J. N. Rateke

More information

Tail estimates for norms of sums of log-concave random vectors

Tail estimates for norms of sums of log-concave random vectors Tail estiates for nors of sus of log-concave rando vectors Rados law Adaczak Rafa l Lata la Alexander E. Litvak Alain Pajor Nicole Toczak-Jaegerann Abstract We establish new tail estiates for order statistics

More information

A note on the multiplication of sparse matrices

A note on the multiplication of sparse matrices Cent. Eur. J. Cop. Sci. 41) 2014 1-11 DOI: 10.2478/s13537-014-0201-x Central European Journal of Coputer Science A note on the ultiplication of sparse atrices Research Article Keivan Borna 12, Sohrab Aboozarkhani

More information

New Classes of Positive Semi-Definite Hankel Tensors

New Classes of Positive Semi-Definite Hankel Tensors Miniax Theory and its Applications Volue 017, No., 1 xxx New Classes of Positive Sei-Definite Hankel Tensors Qun Wang Dept. of Applied Matheatics, The Hong Kong Polytechnic University, Hung Ho, Kowloon,

More information

Page 1 Lab 1 Elementary Matrix and Linear Algebra Spring 2011

Page 1 Lab 1 Elementary Matrix and Linear Algebra Spring 2011 Page Lab Eleentary Matri and Linear Algebra Spring 0 Nae Due /03/0 Score /5 Probles through 4 are each worth 4 points.. Go to the Linear Algebra oolkit site ransforing a atri to reduced row echelon for

More information

ORIGAMI CONSTRUCTIONS OF RINGS OF INTEGERS OF IMAGINARY QUADRATIC FIELDS

ORIGAMI CONSTRUCTIONS OF RINGS OF INTEGERS OF IMAGINARY QUADRATIC FIELDS #A34 INTEGERS 17 (017) ORIGAMI CONSTRUCTIONS OF RINGS OF INTEGERS OF IMAGINARY QUADRATIC FIELDS Jürgen Kritschgau Departent of Matheatics, Iowa State University, Aes, Iowa jkritsch@iastateedu Adriana Salerno

More information

On the Communication Complexity of Lipschitzian Optimization for the Coordinated Model of Computation

On the Communication Complexity of Lipschitzian Optimization for the Coordinated Model of Computation journal of coplexity 6, 459473 (2000) doi:0.006jco.2000.0544, available online at http:www.idealibrary.co on On the Counication Coplexity of Lipschitzian Optiization for the Coordinated Model of Coputation

More information

Exact tensor completion with sum-of-squares

Exact tensor completion with sum-of-squares Proceedings of Machine Learning Research vol 65:1 54, 2017 30th Annual Conference on Learning Theory Exact tensor copletion with su-of-squares Aaron Potechin Institute for Advanced Study, Princeton David

More information

arxiv: v2 [math.nt] 5 Sep 2012

arxiv: v2 [math.nt] 5 Sep 2012 ON STRONGER CONJECTURES THAT IMPLY THE ERDŐS-MOSER CONJECTURE BERND C. KELLNER arxiv:1003.1646v2 [ath.nt] 5 Sep 2012 Abstract. The Erdős-Moser conjecture states that the Diophantine equation S k () = k,

More information

Infinitely Many Trees Have Non-Sperner Subtree Poset

Infinitely Many Trees Have Non-Sperner Subtree Poset Order (2007 24:133 138 DOI 10.1007/s11083-007-9064-2 Infinitely Many Trees Have Non-Sperner Subtree Poset Andrew Vince Hua Wang Received: 3 April 2007 / Accepted: 25 August 2007 / Published online: 2 October

More information

MULTIPLAYER ROCK-PAPER-SCISSORS

MULTIPLAYER ROCK-PAPER-SCISSORS MULTIPLAYER ROCK-PAPER-SCISSORS CHARLOTTE ATEN Contents 1. Introduction 1 2. RPS Magas 3 3. Ites as a Function of Players and Vice Versa 5 4. Algebraic Properties of RPS Magas 6 References 6 1. Introduction

More information

A := A i : {A i } S. is an algebra. The same object is obtained when the union in required to be disjoint.

A := A i : {A i } S. is an algebra. The same object is obtained when the union in required to be disjoint. 59 6. ABSTRACT MEASURE THEORY Having developed the Lebesgue integral with respect to the general easures, we now have a general concept with few specific exaples to actually test it on. Indeed, so far

More information

Intelligent Systems: Reasoning and Recognition. Perceptrons and Support Vector Machines

Intelligent Systems: Reasoning and Recognition. Perceptrons and Support Vector Machines Intelligent Systes: Reasoning and Recognition Jaes L. Crowley osig 1 Winter Seester 2018 Lesson 6 27 February 2018 Outline Perceptrons and Support Vector achines Notation...2 Linear odels...3 Lines, Planes

More information

Multi-Dimensional Hegselmann-Krause Dynamics

Multi-Dimensional Hegselmann-Krause Dynamics Multi-Diensional Hegselann-Krause Dynaics A. Nedić Industrial and Enterprise Systes Engineering Dept. University of Illinois Urbana, IL 680 angelia@illinois.edu B. Touri Coordinated Science Laboratory

More information

Characterization of the Line Complexity of Cellular Automata Generated by Polynomial Transition Rules. Bertrand Stone

Characterization of the Line Complexity of Cellular Automata Generated by Polynomial Transition Rules. Bertrand Stone Characterization of the Line Coplexity of Cellular Autoata Generated by Polynoial Transition Rules Bertrand Stone Abstract Cellular autoata are discrete dynaical systes which consist of changing patterns

More information

Monochromatic images

Monochromatic images CHAPTER 8 Monochroatic iages 1 The Central Sets Theore Lea 11 Let S,+) be a seigroup, e be an idepotent of βs and A e There is a set B A in e such that, for each v B, there is a set C A in e with v+c A

More information

Numerical Studies of a Nonlinear Heat Equation with Square Root Reaction Term

Numerical Studies of a Nonlinear Heat Equation with Square Root Reaction Term Nuerical Studies of a Nonlinear Heat Equation with Square Root Reaction Ter Ron Bucire, 1 Karl McMurtry, 1 Ronald E. Micens 2 1 Matheatics Departent, Occidental College, Los Angeles, California 90041 2

More information

Introduction to Optimization Techniques. Nonlinear Programming

Introduction to Optimization Techniques. Nonlinear Programming Introduction to Optiization echniques Nonlinear Prograing Optial Solutions Consider the optiization proble in f ( x) where F R n xf Definition : x F is optial (global iniu) for this proble, if f( x ) f(

More information

Solutions of some selected problems of Homework 4

Solutions of some selected problems of Homework 4 Solutions of soe selected probles of Hoework 4 Sangchul Lee May 7, 2018 Proble 1 Let there be light A professor has two light bulbs in his garage. When both are burned out, they are replaced, and the next

More information

PREPRINT 2006:17. Inequalities of the Brunn-Minkowski Type for Gaussian Measures CHRISTER BORELL

PREPRINT 2006:17. Inequalities of the Brunn-Minkowski Type for Gaussian Measures CHRISTER BORELL PREPRINT 2006:7 Inequalities of the Brunn-Minkowski Type for Gaussian Measures CHRISTER BORELL Departent of Matheatical Sciences Division of Matheatics CHALMERS UNIVERSITY OF TECHNOLOGY GÖTEBORG UNIVERSITY

More information

Perturbation on Polynomials

Perturbation on Polynomials Perturbation on Polynoials Isaila Diouf 1, Babacar Diakhaté 1 & Abdoul O Watt 2 1 Départeent Maths-Infos, Université Cheikh Anta Diop, Dakar, Senegal Journal of Matheatics Research; Vol 5, No 3; 2013 ISSN

More information

A NEW CHARACTERIZATION OF THE CR SPHERE AND THE SHARP EIGENVALUE ESTIMATE FOR THE KOHN LAPLACIAN. 1. Introduction

A NEW CHARACTERIZATION OF THE CR SPHERE AND THE SHARP EIGENVALUE ESTIMATE FOR THE KOHN LAPLACIAN. 1. Introduction A NEW CHARACTERIZATION OF THE CR SPHERE AND THE SHARP EIGENVALUE ESTIATE FOR THE KOHN LAPLACIAN SONG-YING LI, DUONG NGOC SON, AND XIAODONG WANG 1. Introduction Let, θ be a strictly pseudoconvex pseudo-heritian

More information

1. INTRODUCTION AND RESULTS

1. INTRODUCTION AND RESULTS SOME IDENTITIES INVOLVING THE FIBONACCI NUMBERS AND LUCAS NUMBERS Wenpeng Zhang Research Center for Basic Science, Xi an Jiaotong University Xi an Shaanxi, People s Republic of China (Subitted August 00

More information

CSE525: Randomized Algorithms and Probabilistic Analysis May 16, Lecture 13

CSE525: Randomized Algorithms and Probabilistic Analysis May 16, Lecture 13 CSE55: Randoied Algoriths and obabilistic Analysis May 6, Lecture Lecturer: Anna Karlin Scribe: Noah Siegel, Jonathan Shi Rando walks and Markov chains This lecture discusses Markov chains, which capture

More information

Some Classical Ergodic Theorems

Some Classical Ergodic Theorems Soe Classical Ergodic Theores Matt Rosenzweig Contents Classical Ergodic Theores. Mean Ergodic Theores........................................2 Maxial Ergodic Theore.....................................

More information

Optimal quantum detectors for unambiguous detection of mixed states

Optimal quantum detectors for unambiguous detection of mixed states PHYSICAL REVIEW A 69, 06318 (004) Optial quantu detectors for unabiguous detection of ixed states Yonina C. Eldar* Departent of Electrical Engineering, Technion Israel Institute of Technology, Haifa 3000,

More information

Entangling characterization of (SWAP) 1/m and Controlled unitary gates

Entangling characterization of (SWAP) 1/m and Controlled unitary gates Entangling characterization of (SWAP) / and Controlled unitary gates S.Balakrishnan and R.Sankaranarayanan Departent of Physics, National Institute of Technology, Tiruchirappalli 65, India. We study the

More information

MODULAR HYPERBOLAS AND THE CONGRUENCE ax 1 x 2 x k + bx k+1 x k+2 x 2k c (mod m)

MODULAR HYPERBOLAS AND THE CONGRUENCE ax 1 x 2 x k + bx k+1 x k+2 x 2k c (mod m) #A37 INTEGERS 8 (208) MODULAR HYPERBOLAS AND THE CONGRUENCE ax x 2 x k + bx k+ x k+2 x 2k c (od ) Anwar Ayyad Departent of Matheatics, Al Azhar University, Gaza Strip, Palestine anwarayyad@yahoo.co Todd

More information

LATTICE POINT SOLUTION OF THE GENERALIZED PROBLEM OF TERQUEi. AND AN EXTENSION OF FIBONACCI NUMBERS.

LATTICE POINT SOLUTION OF THE GENERALIZED PROBLEM OF TERQUEi. AND AN EXTENSION OF FIBONACCI NUMBERS. i LATTICE POINT SOLUTION OF THE GENERALIZED PROBLEM OF TERQUEi. AND AN EXTENSION OF FIBONACCI NUMBERS. C. A. CHURCH, Jr. and H. W. GOULD, W. Virginia University, Morgantown, W. V a. In this paper we give

More information

Non-Parametric Non-Line-of-Sight Identification 1

Non-Parametric Non-Line-of-Sight Identification 1 Non-Paraetric Non-Line-of-Sight Identification Sinan Gezici, Hisashi Kobayashi and H. Vincent Poor Departent of Electrical Engineering School of Engineering and Applied Science Princeton University, Princeton,

More information