McMaster University. Advanced Optimization Laboratory. Advanced Optimization Laboratory. Title: Title: Small Primitive strings Zonotopes

Size: px
Start display at page:

Download "McMaster University. Advanced Optimization Laboratory. Advanced Optimization Laboratory. Title: Title: Small Primitive strings Zonotopes"

Transcription

1 McMaster University Avance Optimization Laboratory Avance Optimization Laboratory Title: Title: A computational framework for etermining square-maximal Small Primitive strings Zonotopes Authors: Authors: Antoine Deza, George Manoussakis, an Shmuel Onn Antoine Deza, Frantisek Franek, an Mei Jiang AvOL-Report No. 2011/5 AvOL-Report No. 2017/1 December 2011, Hamilton, Ontario, Canaa February 2017, Hamilton, Ontario, Canaa

2 Small Primitive Zonotopes Antoine Deza a, George Manoussakis b, an Shmuel Onn c a McMaster University, Hamilton, Ontario, Canaa b Université e Paris Su, Orsay, France c Technion - Israel Institute of Technology, Haifa, Israel Abstract We stuy a family of lattice polytopes, calle primitive zonotopes, which can be seen as a generalization of the permutaheron of type B. We escribe primitive zonotopes with small parameters, an iscuss connections to the largest iameter of lattice polytopes an to the computational complexity of multicriteria matroi optimization. Complexity results an open questions are also presente. Keywors: Lattice polytopes, primitive integer vectors, matroi optimization, iameter 1 Introuction We pursue the stuy of the primitive zonotopes initiate in [7]. After recalling their efinition an some of their properties, we highlight in Section 2 connections between primitive zonotopes an convex matroi optimization an the iameter of lattice polytopes. Small instances are presente in Section 3, an complexity results an open questions are iscusse in Section 4. Recent results ealing with the combinatorial, geometric, an algorithmic aspects of linear optimization inclue Santos counterexample [24] to the Hirsch conjecture, an Allamigeon, Benchimol, Gaubert, an Joswig s counterexample [2] to a continuous analogue of the polynomial Hirsch conjecture. The Hirsch boun was valiate by Borgwart, De Loera, an Finhol [4]. Kalai an Kleitman s upper boun [15] for the iameter of polytopes was strengthene by To [29], an then by Sukegawa [27]. Kleinschmit an Onn s upper boun [16] for the iameter of lattice polytopes was strengthene by Del Pia an Michini [6], an then by Deza an Pournin [8]. Multicriteria matroi optimization is a generalization of stanar linear matroi optimization introuce by Onn an Rothblum [23] where each basis is evaluate accoring to several, rather than one, criteria, an these values are trae-in by a convex function. 1

3 2 2 Primitive zonotopes 2.1 Zonotopes generate by short primitive vectors The convex hull of integer-value points is calle a lattice polytope an, if all the vertices are rawn from {0, 1,..., k}, is referee to as a lattice (, k-polytope. For simplicity, we only consier full imensional lattice (, k-polytopes. Given a finite set G of vectors, also calle the generators, the zonotope generate by G is the convex hull of all signe sums of the elements of G. We consier zonotopes generate by short integer vectors in orer to keep the gri embeing size relatively small. In aition, we restrict to integer vectors which are pairwise linearly inepenent in orer to maximize the iameter. Thus, for q = or a positive integer, an, p positive integers, we consier the primitive zonotope Z q (, p efine as the zonotope generate by the primitive integer vectors of q-norm at most p: Z q (, p = [ 1, 1]{v Z : v q p, gc(v = 1, v 0} ( = conv {λv v : v Z, v q p, gc(v = 1, v 0} : λ v = ±1 where gc(v is the largest integer iviing all entries of v, an the lexicographic orer on R, i.e. v 0 if the first nonzero coorinate of v is positive. Similarly, we consier the Minkowski sum H q (, p of the generators of Z q (, p: H q (, p = [0, 1]{v Z : v q p, gc(v = 1, v 0}. In other wors, H q (, p is, up to translation, the image of Z q (, p by a homothety of factor 1/2. We also consier the positive primitive zonotope Z + q (, p efine as the zonotope generate by the primitive integer vectors of q-norm at most p with nonnegative coorinates: Z + q (, p = [ 1, 1]{v Z + : v q p, gc(v = 1} where Z + = {0, 1,... }. Similarly, we consier the Minkowski sum of the generators of Z + q (, p: H + q (, p = [0, 1]{v Z + : v q p, gc(v = 1}. We illustrate the primitive zonotopes with a few examples: (i For finite q, Z q (, 1 is generate by the unit vectors an forms the { 1, 1} -cube. H q (, 1 is the {0, 1} -cube. (ii Z 1 (, 2 is the permutaheron of type B an thus, H 1 (, 2 is, up to translation, a lattice (, 2 1-polytope with 2! vertices an iameter 2. For example, Z 1 (2, 2 is generate by {(0, 1, (1, 0, (1, 1, (1, 1} an forms the octagon whose vertices are {( 3, 1, ( 3, 1, ( 1, 3, (1, 3, (3, 1, (3, 1, (1, 3, ( 1, 3}. H 1 (2, 2 is, up to translation, a lattice (2, 3-polygon, see Figure 1. Z 1 (3, 2 is congruent to

4 3 Figure 1: H 1 (2, 2 the truncate cuboctaheron, see Figure 2 for an illustration, which is also calle the great rhombicuboctaheron an is the Minkowski sum of an octaheron an a cuboctaheron, see for instance Eppstein [9]. H 1 (3, 2 is, up to translation, a lattice (3, 5-polytope with iameter 9 an 48 vertices. Figure 2: Z 1 (3, 2 is congruent to the truncate cuboctaheron (iii H 1 + (, 2 is the Minkowski sum of the permutaheron with the {0, 1} -cube. Thus, H 1 + (, 2 is a lattice (, -polytope with iameter ( (iv Z (3, 1 is congruent to the truncate small rhombicuboctaheron, see Figure 3 for an illustration, which is the Minkowski sum of a cube, a truncate octaheron, an a rhombic oecaheron, see for instance Eppstein [9]. H (3, 1 is, up to translation, a lattice (3, 9-polytope with iameter 13 an 96 vertices. (v Z + (2, 2 is generate by {(0, 1, (1, 0, (1, 1, (1, 2, (2, 1} an forms the ecagon whose vertices are {( 5, 5, ( 5, 3, ( 3, 5, ( 3, 1, ( 1, 3, (1, 3, (3, 1, (3, 5, (5, 3, (5, 5}. H + (2, 2 is a lattice (2, 5-polygon, see Figure 4.

5 4 Figure 3: Z (3, 1 is congruent to the truncate small rhombicuboctaheron Figure 4: H + (2, Combinatorial properties of the primitive zonotopes We recall properties concerning Z q (, p an Z q + (, p, an in particular their symmetry group, iameter, an vertices. Z 1 (, 2 is the permutaheron of type B as its generators form the root system of type B, see [14]. Thus, Z 1 (, 2 has 2! vertices an its symmetry group is B. The properties liste in this section are extensions to Z q (, p of known properties of Z 1 (, 2 whose proofs are given in Section 5.1. We refer to Fukua [11], Grünbaum [13], an Ziegler [30] for polytopes an, in particular, zonotopes. Property 2.1. (i Z q (, p is invariant uner the symmetries inuce by coorinate permutations an the reflections inuce by sign flips. (ii The sum σ q (, p of all the generators of Z q (, p is a vertex of both Z q (, p an H q (, p. The origin is a vertex of H q (, p, an σ q (, p is a vertex of Z q (, p. (iii The coorinates of the vertices of Z q (, p are o. Thus, the number of vertices of Z q (, p is a multiple of 2.

6 5 (iv H q (, p is, up to translation, a lattice (, k-polytope where k is the sum of the first coorinates of all generators of Z q (, p (v The iameter of Z q (, p, respectively Z + q (, p, is equal to the number of its generators. Property 2.2. (i Z + q (, p is centrally symmetric an invariant uner the symmetries inuce by coorinate permutations. (ii The sum σ + q (, p of all the generators of Z + q (, p is a vertex of both Z + q (, p an H + q (, p. The origin is a vertex of H + q (, p, an σ + q (, p is a vertex of Z + q (, p. A vertex v of Z q (, p is calle canonical if v 1 v > 0. Property 2.1 item (i implies that the vertices of Z q (, p are all the coorinate permutations an sign flips of its canonical vertices.. Property 2.3. (i A canonical vertex v of Z q (, p is the unique maximizer of {max c T x : x Z q (, p} for some vector c satisfying c 1 > c 2 > > c > 0. (ii Z 1 (, 2 has 2! vertices corresponing to all coorinate permutations an sign flips of the unique canonical vertex σ 1 (, 2 = (2 1, 2 3,..., 1. (iii Z q (, p has at least 2! vertices incluing all coorinate permutations an sign flips of the canonical vertex σ q (, p. (iv Z + (, 1 has at least 2 + 2! vertices incluing the 2! permutations of ±σ( where σ( is a vertex with pairwise istinct coorinates, an the 2 vertices ±σ + (, Primitive zonotopes as lattice polytopes with large iameter Let δ(, k be the maximum possible ege-iameter over all lattice (, k-polytopes. Fining lattice polygons with the largest iameter; that is, to etermine δ(2, k, was investigate inepenently in the early nineties by Thiele [28], Balog an Bárány [3], an Acketa an Žunić [1]. This question can be foun in Ziegler s book [30] as Exercise The answer is summarize in Proposition 2.4, with the role of primitive zonotopes highlighte. Proposition 2.4. δ(2, k is achieve, up to translation, by the Minkowski sum of a subset of the generators of H 1 (2, p for a proper p. In particular, for k = jφ(j for some p, δ(2, k is uniquely achieve, up to translation, by H 1 (2, p. 1 j p

7 6 In general imension, Naef [21] showe in 1989 that δ(, 1 =, Kleinschmit an Onn [16] generalize this result in 1992 showing that δ(, k k, before Del Pia an Michini [6] strengthene the upper boun to δ(, k k /2 for k 2, an showe that δ(, 2 = 3/2, an Deza an Pournin [8]. further strengthene the upper boun to k 2/3 (k 3 for k 3 an showe that δ(3, 4 = 8. Concerning the lower boun Deza, Manoussakis an Onn [7] showe that δ(, k (k + 1/2 for k < 2. These bouns are summarize in Proposition 2.5, an Conjecture 2.6 given in [7] is recalle. Proposition 2.5. (i δ(, k = (k + 1/2 for (, k = (, 1, (, 2, (2, 3, (3, 3, an (3, 4, (ii 2 δ(, 3 7/3 1 for 2 mo 3, an δ(, 3 7/3 otherwise, (iii δ(, k (k + 1/2 for k < 2, (iv k 2/3 (k 2 for k 4 Conjecture 2.6. δ(, k (k + 1/2, an δ(, k is achieve, up to translation, by a Minkowski sum of lattice vectors. Note that Conjecture 2.6 hols for all known values of δ(, k given in Table 1, an hypothesizes, in particular, that δ(, 3 = 2. k δ(, k /2 Table 1: Largest iameter δ(, k over all lattice (, k-polytopes Soprunov an Soprunova [26] consiere the Minkowski length of a lattice polytope P ; that is, the largest number of lattice segments whose Minkowski sum is containe in P. For example, the Minkowski length of the {0, k} -cube is k. We consier a variant of the Minkowski length an the special case when P is the {0, k} -cube. Let L(, k enote the largest number of pairwise linearly inepenent lattice segments whose Minkowski sum is containe in the {0, k} -cube. One can check that the generators of H 1 (, 2 form the largest, an unique, set of primitive lattice vectors which Minkowski sum fits within the {0, k} -cube for k = 2 1; that is, for k being the sum of the first coorinates of the 2 generators of H 1 (, 2. Thus, L(, 2 1 = δ(h 1 (, 2 = 2. Similarly, L(2, k = δ(2, k for all k, an L(, k = (k + 1/2 for k 2 1.

8 7 2.4 Primitive zonotope an convex matroi optimization We consier the convex multicriteria matroi optimization framework of Melame, Onn an Rothblum, see [19, 22, 23]. Call S {0, 1} n a matroi if it is the set of the inicators of bases of a matroi over {1,..., n}. For instance, S can be the set of inicators of spanning trees in a connecte graph with n eges. For a n matrix W, let W S = {W x : x S}, an let conv(w S = W conv(s be the projection to R of conv(s by W. Given a convex function f : R R, convex matroi optimization eals with maximizing the composite function f(w x over S; that is, max {f(w x : x S}, an is concerne with conv(w S; that is, the projection of the set of the feasible points. The maximization problem can be interprete as a problem of multicriteria optimization, where each row of W gives a linear criterion W i x an f compromises these criteria. Thus, W is calle the criteria matrix or weight matrix. The projection polytope conv(w S an its vertices play a key role in solving the maximization problem as, for any convex function f, there is an optimal solution x whose projection y = W x is a vertex of conv(w S. In particular, the enumeration of all vertices of conv(w S enables to compute the optimal objective value by picking a vertex attaining the optimal value f(y = f(w x. Thus, it suffices that f is presente by a comparison oracle that, querie on vectors y, z R, asserts whether or not f(y < f(z. Coarse criteria matrices; that is, W whose entries are small or in {0, 1,..., p}, are of particular interest. In multicriteria combinatorial optimization, this case correspons to the weight W i,j attribute to element j of the groun set {1,..., n} uner criterion i being small or in {0, 1,..., p} for all i, j. In the remainer, we only consier {0, 1,..., p}-value W. Let m(, p enote the number of vertices of H (, p. Theorem 2.7, given in [7], settles the computational complexity of the multicriteria optimization problem by showing that the maximum number of vertices of the projection polytope conv(w S of any matroi S on n elements an any -criteria p-boune utility matrix; that is, W {0, 1,..., p} n, is equal to m(, p, an hence is in particular inepenent of n, S, an W. Theorem 2.7. Let, p be any positive integers. Then, for any positive integer n, any matroi S {0, 1} n, an any -criteria p-boune utility matrix W, the primitive zonotope H (, p refines conv(w S. Moreover, H (, p is a translation of conv(w S for some matroi S an -criteria p-boune utility matrix W. Thus, the maximum number of vertices of conv(w S for any n, any matroi S {0, 1} n, an any -criteria p-boune utility matrix W, equals the number m(, p of vertices of H (, p, an hence is inepenent of n, S, an W. Also, for any fixe an convex f : R R, the multicriteria matroi optimization problem can be solve using a number of arithmetic operations an queries to the oracles of S an f which is polynomial in n an p using m(, p greeily solvable linear matroi optimization counterparts. Theorem 2.8. The number m(, 1 of vertices of H (, 1 satisfies 2! m(, 1 2 ( ( (3 3/2 (3 1 3/2 2. i 1 0 i 1

9 8 Proof. The first inequality restates item (iii of Property 2.3 where (q,, p is set to (,, 1. The secon inequality is obtaine by exploiting the structure of the generators of H (, 1. One can check that H (, 1 has (3 1/2 generators an that removing the first zero of the generators of H (, 1 starting with zero yiels exactly the (3 1 1/2 generators of H ( 1, 1. We recall that the number of vertices f 0 (Z of a -imensional zonotope Z generate by m generators is boune by f(, m = 2 0 i 1 ( m 1 i. By uality, the number f 0 (Z of vertices of a zonotope Z is equal to the number f 1 (A of cells of the associate hyperplane arrangement A where each generator m j of Z correspons to an hyperplane h j of A. The inequality f 0 (Z f(, m is base on the inequality f 1 (A f 1 (A \ h j + f 1 (A h j for any hyperplane h j of A where A \ h j enotes the arrangement obtaine by removing h j from A, an A h j enotes the arrangement obtaine by intersecting A with h j. This last inequality an the uality between zonotopes an hyperplane arrangements are etaile, for example, in [11]. Recursively applying this inequality to the arrangement A (, 1 associate to H (, 1 till the remaining (3 1 1/2 hyperplanes form a ( 1-imensional arrangement equivalent to A ( 1, 1 yiels: f 1 (A (, 1 f(, (3 1/2 ( f(, (3 1 1/2 f( 1, (3 1 1/2 which completes the proof since f 1 (A (, 1 = f 0 (H (, 1 an f(, m f( 1, m = 2 ( m 1. In other wors, the inequality is base on the inuctive buil-up of H (, 1 starting with the (3 1 3/2 generators with zero as first coorinate, an noticing that these (3 1 3/2 generators belong to a lower imensional space. 3 Small primitive zonotopes H q (, p an H + q (, p In this section we provie the number of vertices, the iameter; that is, the number of generators, an the gri embeing size for H q (, p an H q + (, p for small an p, an q = 1, 2, an. We recall that, up to translation, Z q (, p, respectively Z q + (, p, is the image of H q (, p, respectively H q + (, p, by a homothety of factor 2. Thus Z q (, p an H q (, p, respectively Z q + (, p an H q + (, p, have the same number of vertices an the same iameter, while the gri embeing size of the Z q (, p, respectively Z q + (, p, is twice the one of H q (, p, respectively H q + (, p. Since both H q (, 1 an H q + (, 1 are equal to the {0, 1} -cube for finite q, both are omitte from the tables provie in this section. The vertex enumeration was performe using stanar algorithms escribe, for instance, in [11]. The Euler totient function counting positive integers less than or equal to j an relatively prime with j is enote by φ(j. Note that φ(1 is set to 1. Enumerative questions concerning H q (, p an H + q (, p have been stuie in various settings. We list a few instances, an the associate OEI sequences, see [25] for etails an references therein. (i f 0 (H + (, 1 correspons to the OEI sequence A giving the number of generalize retare functions in quantum fiel theory. The value of f 0 (H + (, 1 was etermine till = 8.

10 9 (ii f 0 (H (, 1, which is the number of regions of hyperplane arrangements with { 1, 0.1}-value normals in imension, correspons to the OEI sequence A giving f 0 (H (, 1/(2!. The value of f 0 (H (, 1 was etermine till = 7. (iii δ(h + (, p correspons to the OEI sequence A with further cross-reference sequences for 7 an p 8. (iv δ(h + 1 (3, p, respectively δ(h + 2 (2, p, δ(h (, 2, δ(h (2, p/4, δ(h 2 (2, p/2, δ(h + 1 (, 3, an δ(h + 2 (, 2, correspons to the OEI sequence A048134, respectively A049715, A005059, A002088, A175341, A008778, an A (v the gri embeing size of H 2 (, 2, respectively H (, 2 an H + 1 (, 3, correspons to the OEI sequence A161712, respectively A an A Small primitive zonotopes H q (, p In Tables 2, 3, an 4, the number of vertices f 0 (H q (, p is ivie by 2! an followe by its iameter δ(h q (, p an gri embeing size. For instance, the entry 26(49, 53 for (q,, p = (1, 3, 4 in Table 2 inicates that H 1 (3, 4 has ! = 1248 vertices, iameter 49, an is, up to translation, a lattice (3, 53-polytope. The rather straightforwar proofs are given in Section Small primitive zonotopes H 1 (, p Property 3.1. (i H 1 (, 1 is the {0, 1} -cube, (ii H 1 (, 2 is, up to translation, a lattice (, k-polytope with k = 2 1, an iameter 2, an 2! vertices, (iii H 1 (, 3 is, up to translation, a lattice (, k-polytope with k = , an iameter ( + 2(2 1/3, (iv H 1 (, 4 is, up to translation, a lattice (, k-polytope with k = ( ( ( ( , an iameter ( /3, (v H 1 (2, p is, up to translation, a lattice (2, k-polygon with k = jφ(j, an 1 j p iameter 2 φ(j. 1 j p

11 10 p H 1 (, p (4,3 2 (8,9 3 (12,17 5 (20,37 6 (24, (9,5 7 (25,21 26 (49, (97, (145, (16,7 40 (56, (136, (312,337? (560, (25,9 339 (105,57? (305,217? (801,713? (1 681,1 769 Table 2: Small primitive zonotopes H 1 (, p Small primitive zonotopes H 2 (, p Property 3.2. (i H 2 (, 1 is the {0, 1} -cube, (ii H 2 (, 2 is, up to translation, a lattice (, k-polytope with k = iameter 2 j( j+1. 0 j 3 0 j 3 2 j( 1 j, an p H 2 (, p (4,3 2 (8,9 4 (16,27 6 (24, (13,9 26 (49, (109, (205, (40, (192,193? (592,795? (1 424, (105,65? (641,577 Table 3: Small primitive zonotopes H 2 (, p Small primitive zonotopes H (, p Property 3.3. (i H (, 1 is, up to translation, a lattice (, k-polytope with k = 3 1, an iameter (3 1/2, (ii H (, 2 is, up to translation, a lattice (, k-polytope with k = , an iameter (5 3 /2, (iii H (2, p is, up to translation, a lattice (2, k-polygon with iameter 4 φ(j. 1 j p

12 11 p H (, p (4,3 2 (8,9 4 (16,27 6 (24, (13,9 26 (49, (145, (289, (40, (272,321? (1 120,1 923? (2 928, (121, (364, (1 093,729 Table 4: Small primitive zonotopes H (, p 3.2 Small positive primitive zonotopes H + q (, p In Tables 5, 6, an 7, the number of vertices f 0 (H + q (, p is followe by its iameter δ(h + q (, p an gri embeing size. For instance, the entry 1082 (15, 5 for (q,, p = (1, 5, 2 in Table 5 inicates that H + 1 (5, 1 has vertices, iameter 15, an is a lattice (5, 5-polytope Small positive primitive zonotopes H + 1 (, p Property 3.4. (i H + 1 (, 1 is the {0, 1} -cube, (ii H + 1 (, 2 is a lattice (, k-polytope with k =, an iameter ( +1 2 (iii H 1 + (, 3 is a lattice (, k-polytope with k = ( /2 an iameter ( /6. (iv H 1 + (2, p is a lattice (2, k-polygon with k = 1 + jφ(j/2, an iameter j p φ(j. 1 j p, p H 1 + (, p (3,2 10 (5,5 14 (7,9 22 (11,19 26 (13, (6,3 110 (13, (22, (40, (55, (10, (26, (51, (103, (161, (15, (45, (100,67? (221,188? (386, (21,6? (71,31?(176,106 Table 5: Small positive primitive zonotopes H + 1 (, p

13 Small positive primitive zonotopes H + 2 (, p Property 3.5. (i H + 2 (, 1 is the {0, 1} -cube, (ii H + 2 (, 2 is a (, k polytope with k = ( 1 + ( 3, an iameter ( ( p H 2 + (, p (3,2 10 (5,5 18 (9,14 26 (13, (7,4 212 (19, (40, (70, (15, (55, (141, (299, (30,15? (136,108? (441,487 Table 6: Small positive primitive zonotopes H + 2 (, p Small positive primitive zonotopes H (, + p Property 3.6. (i H (, + 1 is, a lattice (, k-polytope with k = 2 1, an iameter 2 1, (ii H (, + 2 is a lattice (, k-polytope with k = 3 2, an iameter 3 2, (iii H (2, + p is a lattice (2, k-polygon with iameter φ(j. 1 j p p H (, + p (3,2 10 (5,5 18 (9,14 26 (13, (7,4 212 (19, (49, (91, (15, (65, (225,344? (529, (31,16? (211,211? (961,1456? (2 851, (63, (127, (255,128 Table 7: Small positive primitive zonotopes H + (, p

14 13 4 Complexity issues We iscuss a few complexity issues relate to primitive zonotopes. While we mainly focus on Z q (, p, the iscussion an results, such as Propositions 4.1 an 4.2, can be aapte to Z q + (, p. As H q (, p, respectively H q + (, p, is the translation of the image by a homothety of Z q (, p, respectively Z q + (, p, the complexity results are the same. 4.1 Complexity properties Proposition 4.1. For fixe positive integers p an q, linear optimization over Z q (, p is polynomial-time solvable, even in variable imension. Proof. Since the q-norm of a generator of Z q (, p is boune by p, it has at most p q nonzero entries which is attaine for the vector of all ones an = p q. Thus, the number of generators of Z q (, p is boune by ( p (2p p q = O ( pq. Hence, one can q explicitly write all the generators of Z q (, p in polynomial time. Consequently, one can compute in polynomial time the following signe sum of generators of Z q (, p for any given rational c R : v = sign(c T vv where G q (, p enotes the set of generators of v G q(,p Z q (, p. Note that sign(0 is set to 0. Then, one can show that v is a maximizer of {max c T x : x Z q (, p}. The algorithmic theory evelope by Grötschel, Lovász, an Schrijver [12] shows that polynomial-time solvability for linear optimization over a polytope implies polynomialtime solvability for other questions. In particular, Proposition 4.1 implies Proposition 4.2. Proposition 4.2. For fixe positive integers p an q, the following problems are polynomialtime solvable. (i Extremality: Given v Z, ecie if v is a vertex of Z q (, p, (ii Ajacency: Given v 1, v 2 Z, ecie if [v 1, v 2 ] is an ege of Z q (, p; (iii Separation: Given rational y R, either assert y Z q (, p, or fin h Z separating y from Z q (, p; that is, satisfying h T y > h T x for all x Z q (, p. 4.2 Open problems A natural open problem is to fin irect algorithms to solve, over both Z q (, p an Z + q (, p, the extremality, ajacency, an separation questions given in Proposition 4.2. Note that the case q =, even for p = 1, seems to be significantly harer as the number of nonzero entries in a generator of Z (, p can not boune by a constant inepenent of. Thus, the number of generators of Z (, p is exponential in. Hence, the complexity of linear optimization, extremality, ajacency, an separation over both Z (, p an Z + (, p, is open. In particular, it is not clear if eciing if a given point is a vertex

15 14 of Z (, 1, or of Z + (, p, is in NP or in conp. h H The remaining open questions eal with a reformulation in term of egree sequence of hypergraphs. The question is presente within the context of H q + (, p but coul be aapte to H q (, p. Each subset H {0, 1} can be associate to a hypergraph with groun set []. The vector h is calle the egree sequence of H, an the convex hull of the egree sequences of all hypergraphs with groun set [] is calle the hypergraph polytope D ; an thus D = H + (, 1. Consiering only k-uniform hypergraphs; that is, subsets H {0, 1} where all vectors in H have k nonzero entries, one obtains the k-uniform hypergraph polytope D (k as the convex hull of the egree sequences of all k-uniform hypergraphs. The k-uniform hypergraph polytope, in particular D (2 an D (3, have been extensively stuie, see [5, 10, 17, 20] an references therein. A natural question raise in the literature asks for suitable necessary an sufficient conition to check whether a vector h D (k Z is the egree sequence of some k-uniform hypergraph. A trivial necessary conition is that the sum of the coorinates of h is a multiple of k. For k = 2; that is for graphs, the celebrate Er ós-gallai Theorem [10] shows that the trivial necessary conition is also sufficient. For k = 3; that is for 3-uniform hypergraphs, the question was raise by Klivans an Reiner [17]. Liu [18] exhibite counterexamples by constructing holes for 16; that is, vectors h in D (3 Z such that the sum of the coorinates of h is a multiple of 3, but h is not the egree sequence of a 3-uniform hypergraph. As there is no trivial congruence necessary conition, we call a vector in H + q (, p Z a hole if it cannot be written as the sum of a subset of the generators of H + q (, p. While the answer to the question Do H + q (, p have holes? is likely yes for most p, q,, it woul be interesting to explicitly fin such holes an better unerstan them. A natural follow-up question, provie there are holes, is For given fixe positive integers p an q, what is the complexity of eciing if a given vector h H + q (, p Z is a hole, an if not, of writing h as the sum of a subset of generators of H + q (, p?". As note in the proof of Proposition 4.1, there are polynomially many generators for fixe integer p an q. Thus, the above follow-up question is in conp as, if h is not a hole, it is possible to write h as a sum of a subset of generators H + q (, p. The last question is thus Is this problem conp-complete?". As for the linear optimization relate questions, the hole relate questions seem to be significantly harer for q =. In particular, for (q,, p = (,, 1, the questions investigates the holes of D. 5 Proofs for Sections 2.2 an 3 Let G q (, p, respectively G + q (, p, enote the generators of Z q (, p, respectively Z + q (, p. Recall that σ q (, p, respectively σ + q (, p, enotes the sum of the generators of Z q (, p,

16 15 respectively Z + q (, p. 5.1 Proof for Section Proof of item (i of Property 2.1 Proof. Note that if the set G of generators of a zonotope Z is is invariant uner coorinate permutation or sign flip, then the same hols for Z. Let π enote a permutation or a sign flip, an consier a signe sum ɛ g g. Then, π( ɛ g g = ɛ g π(g is also a signe sum g G g G g G of generators since G is permutation an sign flip invariant. In other wors, the set of all signe sums is invariant uner permutations an sign flips, an thus the same hols for the convex hull Z of all signe sums. Let J q (, p be the set of all g for g G q (, p. The zonotope Z q (, p generate by G q (, p J q (, p is the image of Z q (, p by a homothety of factor 2, an thus shares the same symmetry group. One can check that the set of generators of Z q (, p is invariant uner coorinate permutation or sign flip, thus the same hols for Z q (, p, an consequently hols for Z q (, p Proof of item (ii of Property 2.1 Proof. Consier the minimization problem {min c T x : x H q (, p} or, equivalently, min c T x over all integer value points of H q (, p. Set c = (! x, ( 1! x 1,..., x where x = (2p Assuming that x is not the origin, let x i0 enotes the first nonzero coorinate of x. Note that x i0 1 by efinition of G q (, p, an x i x. Thus, c T x ( + 1 i 0! x +1 i 0 x ( + 1 i! x +1 i > 0. In other wors, the origin is i 0 <i the unique minimizer of a linear optimization instance over H q (, p; that is, the origin is a vertex of H q (, p. As Z q (, p = 2H q (, p σ q (, p, the point σ q (, p is a vertex of Z q (, p. By item (i of Proposition 2.1, the point σ q (, p is a vertex of Z q (, p, an thus (σ q (, p + σ q (, p/2 is a vertex of H q (, p Proof of item (iii of Property 2.1 Proof. We first show that the coorinates of the vertex σ q (, p are o. As note in the proof f item (iii of Property 2.3, the i-th coorinate of σ q (, p is equal to the first coorinate of σ q ( i + 1, p. Thus, it is enough to show that the first coorinate of σ q (, p is o. Except for the first unit vector (1, 0,..., 0, any generator g of Z q (, p with nonzero first coorinate can be paire with the generator ḡ where ḡ 1 = g 1 an ḡ i = g i for i 1. Thus, the sum of the first coorinates of the generators of Z q (, p, excluing the the first unit vector, is even. Hence, the first coorinate of σ q (, p is o, an thus all the coorinates of σ q (, p are o. Consier a vertex v = ɛ(gg of g G q(,p Z q (, p. Since flipping the sign of an ɛ(g oes not change the parity of a coorinate of v, the coorinates of v have the same parity as the ones of σ q (, p; i.e. are o. In particular,

17 16 the coorinates of a vertex of Z q (, p are nonzero an item (i of Proposition 2.1 implies that the number of vertices of Z q (, p is a multiple of Proof of items (iv an (v of Property 2.1 Proof. Let Z be a zonotope generate by integer-value generators m j : j = 1,..., m(z. Then, Z is, up to translation, a lattice (, k-polytope with k max. Item m j i i=1,..., 1 j m(z (i of Property 2.1 implies that the integer range of its coorinates is inepenent of the chosen coorinate. The same hols for H q (, p, an, thus to etermine the integer range of H q (, p, it is enough to consier the first coorinates of its generators. Since the origin is a vertex of H q (, p an the first coorinate of its generator is nonnegative, the integer range of H q (, p is the sum of the first coorinates of its generators. For item (v, recall that the iameter of a zonotope is at most the number of its generators, an this inequality is satisfie with equality if no pair of generators are linearly epenent which is the case for Z q (, p an Z + q (, p Proof of Property 2.2 Proof. Consier a generator g G + q (, p an a coorinate permutation π. Since π(g G + q (, p, π(z + q (, p = π( [ 1, 1]G + q (, p = [ 1, 1]π(G + q (, p = [ 1, 1]G + q (, p = Z + q (, p. As in the proof of item (ii of Property 2.1, one can check that the origin is the unique minimizer of {min c T x : x H q (, p} with c = (1, 1,..., 1. Thus, the origin is a vertex of H + q (, p. As Z + q (, p = 2H + q (, p σ q (, p, the point σ q (, p is a vertex of Z + q (, p. Since Z + q (, p is invariant uner the symmetries inuce by coorinate permutations, σ q (, p is a vertex of Z + q (, p, an thus (σ q (, p + σ q (, p/2 is a vertex of H + q (, p Proof of items (i an (ii of Property 2.3 Proof. Given a canonical vertex v of Z q (, p, let c be a vector such that v is the unique maximizer of {max c T x : x Z q (, p}. Up to infinitesimal perturbations, we can assume that the coorinates of c are pairwise istinct an nonzero. Note that each coorinate c i of c is positive as otherwise flipping the sign of v i > 0 woul yiel a point in Z q (, p with higher objective value than v. Assume that c i < c j for some i < j. Then, v i = v j as otherwise permuting v i an v j woul yiel a point in Z q (, p with higher objective value than v. Let π ij (c be obtaine by permuting c i an c j. Then, one can check that v is the unique maximizer of {max π ij (c T x : x Z q (, p}. Assume, by contraiction, that v Z q (, p satisfies π ij (c T v π ij (c T v. Then, c T π ij (v = π ij (c T v π ij (c T v = c T v which implies π ij (v = v, an hence v = v, since v is the unique maximizer of {max c T x : x Z q (, p}. Thus, successive appropriate permutations yiel a vector π(c with π(c 1 > > π(c > 0 such that v is the unique maximizer of {max c T x : x Z q (, p}. For item (ii, one can check that σ 1 (, 2 = (2 1, 2 3,..., 1 is the unique maximizer of {max c T x : x Z 1 (2, p} for any c satisfying c 1 > > c > 0. Thus, by item (i of

18 17 Property 2.3, σ 1 (, 2 is the unique canonical vertex of Z 1 (, 2 an the vertices of Z 1 (, 2 are the 2! coorinate permutations an sign flips of σ 1 (, Proof of item (iii of Property 2.3 Proof. We first note that the i-th coorinate of σ q (, p is equal to the first coorinate of σ q ( i + 1, p. The statement trivially hols for i = 1. For i > 1, consier a generator g of Z q (, p with g i 0 an g i0 > 0 for some i 0 < i, then g can be paire with the generator ḡ where g i = ḡ i an g i0 = ḡ i0. Thus, the sum of all the i-th coorinates of the generators of Z q (, p is equal to the sum of the generators of Z q (, p such that the first i 1 coorinates are zero. In other wors, the i-th coorinate of σ q (, p is equal to the first coorinate of σ q ( i+1, p. Then, note that the first coorinate of σ q ( i+1, p, which is the gri embeing size of H q ( i+1, p, is strictly ecreasing with i increasing. Thus, the action of the symmetry group of Z q (, p on σ q (, p generates 2! istinct vertices of Z q (, p. For instance, one can check the i-th coorinate of σ (, 1 is 3 i Proof of item (iv of Property 2.3 Proof. The statement trivially hols for = 1. For 2, we show by inuction that the vertices of Z (, + 1 inclue σ( satisfying 0 = σ 1 ( < < σ ( = 2 1. The base case hols for = 2 as σ(2 = (0, 2 is a vertex of Z (2, + 1. Assume such a vertex σ( exists, an thus σ( = ɛ(gg for some ɛ(g an σ( is the unique maximizer g G + (,1 of {max c( T x : x Z (, + 1} for some c(. The generators of Z ( + + 1, 1 consist of the 2 1 vectors (g, 0 obtaine by appening 0 to a generator of Z (, + 1, the 2 1 vectors (g, 1 obtaine by appening 1, an the unit vector e +1. Consier the point s( + 1 = e +1 + (g, 1 ɛ(g(g, 0 = (2 1,..., 2 1, 2 (σ(, 0; that g G + (,1 g G + (,1 is, s( + 1 = (2 1 σ 1 (,..., 2 1 σ 1 (, 0, 2. Thus, the coorinates of s( + 1 are pairwise istinct an a suitable permutation of s( + 1 yiels a point σ( + 1 satisfying 0 = σ 1 ( + 1 < < σ +1 ( + 1 = 2. To show that σ( + 1 is a vertex of Z ( + + 1, 1, one can check that σ( + 1 is the unique maximizer of {max c(+1 T x : x Z (+1, + 1} where c( + 1 = ( c(, c +1 for sufficiently large c +1. Thus, for 2, a point σ( satisfying 0 = σ 1 ( < < σ ( = 2 1 is a vertex of Z q + (, p. Zonotopes being centrally symmetric, σ( is a vertex of Z q + (, p an the same hols for the istinct 2! permutations of ±σ(. 5.2 Proof for Section Proof of Property 3.1 Proof. One can check that the generators of H 1 (, 2 consist of ( ( 1 unity vectors an 2 2 vectors {..., 1,..., ±1,... }. Thus, the iameter of H 1 (, 2 is ( ( = 2. Similarly, one can check that the sum of the first coorinates of the generators of H 1 (, 2 is

19 Note that H 1 (, 2 is the permutaheron of type B. Then, one can check that, in aition to the previously etermine generators of H 1 (, 2, the generators of H 1 (, 3 consist of 2 ( ( 2 vectors {..., 1,..., ±2,... }, 2 ( 2 vectors {..., 2,..., ±1,... }, an 4 3 vectors {..., 1,..., ±1,..., ±1,... }. Thus, the iameter of H 1 (, 3 is ( ( ( = ( + 2(2 1/3. Similarly, one can check that the sum of the first coorinates of the generators of H 1 (, 3 is ( ( ( = Furthermore, one can check that, in aition to the previously etermine generators of H 1 (, 3, the generators of H 1 (, 4 consist of 2 ( ( 2 vectors {..., 1,..., ±3,... }, 2 ( 2 vectors {..., 3,..., ±1,... }, 4 3 vectors {..., 1,..., ±1,..., ±2,... }, 4 ( ( 3 vectors {..., 1,..., ±2,..., ±1,... }, 4 3 vectors {..., 2,..., ±1,..., ±1,... }, an 8 ( 4 vectors {..., 1,..., ±1,..., ±1,..., ±1,... }. Thus, the iameter of H 1 (, 4 is ( ( ( ( = ( /3. Similarly, one can check that the sum of the first coorinates of the generators of H 1 (, 4 is ( ( ( ( Finally, item (v correspons to Proposition j Proof of Property 3.2 Proof. One can check that the generators of H 2 (, 2 consist of ( ( 1 unity vectors, 2 2 vectors {..., 1,..., ±1,... }, 4 ( ( 3 vectors {..., 1,..., ±1,..., ±1,... }, an 8 4 vectors {..., 1,..., ±1,..., ±1,..., ±1,... }. Thus, the iameter of H 2 (, 2 is 2 j( j+1. Similarly, one can check that the sum of the first coorinates of the generators of H 2 (, 2 is 2 j( 1 j. 0 j Proof of Property 3.3 Proof. One can check that H (, 1 has (3 1/2 generators consisting of all { 1, 0, 1}- value vectors which first nonzero coorinate is positive. Out of the 5 { 2, 1, 0, 1, 2}- value vectors, 3 are { 2, 0, 2}-value. Thus, keeping the ones which first nonzero coorinate is positive, H (, 2 has (5 3 /2 generators. Similarly, one can check that the sum of the first coorinates of the generators of H (, 2 is The generators (i, j of H (2, p such that (i, j 1 are (1, 0, (0, 1, (1, 1 an (1, 1. For a given i > 1, there are 2φ(i generators (i, j such that (i, j > 1 an j < i. Thus, there are 4 φ(j generators (i, j such that (i, j > 1. Thus, the iameter of H (2, p is 2 j p 4 φ(j. 1 j p Proof of Property 3.4 Proof. One can check that the generators of H 1 + (, 2 consist of ( ( 1 unity vectors an 2 vectors {..., 1,..., 1,... }. Thus, the iameter of H 1 + (, 2 is ( ( 1 + ( 2 = Similarly, one can check that the sum of the first coorinates of the generators of H 1 + (, 2 is. Note that H 1 + (2, p is the Minkowski sum of the permutaheron with the {0, 1} -cube. One can check that, in aition to the previously etermine generators of H 1 + (2, p,

20 19 the generators of H 1 + (, 3 consist of ( ( 3 vectors {..., 1,..., 1,..., 1,..., }, 2 vectors {..., 1,..., 2,... }, an ( 2 vectors {..., 2,..., 1,... }. Thus H + 1 (, 3 has ( ( ( generators. Similarly, one can check that the sum of the first coorinates of the generators of H 1 + (, 3 is ( ( ( Out of the generators of H1 (2, p, φ(j have a 2 j p negative coorinate. Thus, the iameter of H 1 + (2, p is 1 + φ(j. Similarly, one 1 j p can check that the sum of the first coorinates of the generators of H 1 + (2, p is 1 + jφ(j/2. 2 j p Proof of Property 3.5 Proof. One can check that the generators of H 2 + (, 2 consist of ( i vectors with exactly i ones for i = 1, 2, 3, an 4. Thus, the iameter of H 2 + (, 2 is ( ( Similarly, one can check that the sum of the first coorinates of the generators of H 2 + (, 2 is ( ( Proof of Property 3.6 Proof. One can check that H (, + 1 has 2 1 generators consisting of all {0, 1}-value vectors except the origin. Thus, the iameter of H (, + 1 is 2 1. Similarly, one can check that the sum of the first coorinates of the generators of H (, + 1 is 2 1. Out of the 3 {0, 1, 2}-value vectors, 2 are {0, 2}-value. Thus, the iameter of H (, + 2 is 3 2. Similarly, one can check that the sum of the first coorinates of the generators of H (, + 2 is 3 2. The generators (i, j of H (2, + p such that (i, j 1 are (1, 0, (0, 1, an (1, 1. For a given i > 1, there are φ(i generators (i, j such that (i, j > 1 an j < i. Thus, there are 2 φ(j generators (i, j such that (i, j > 1. Thus, the iameter 2 j p of H (2, + p is φ(j. 1 j p Acknowlegment. The authors thank the anonymous referees, Johanne Cohen, Nathann Cohen, Komei Fukua, an Alain Virmaux for valuable comments an for informing us of reference [28], Emo Welzl an Günter Ziegler for helping us access Thorsten Thiele s Diplomarbeit, Dmitrii Pasechnik for pointing out reference [26], an Vincent Pilau for pointing out that Z 1 (, 2 is the permutaheron of type B. This work was partially supporte by the Natural Sciences an Engineering Research Council of Canaa Discovery Grant program (RGPIN , by the Digiteo Chair C&O program, an by the Dresner Chair at the Technion. References [1] Dragan Acketa an Joviša Žunić. On the maximal number of eges of convex igital polygons inclue into an m m-gri. Journal of Combinatorial Theory A, 69: , 1995.

21 20 [2] Xavier Allamigeon, Pascal Benchimol, Stéphane Gaubert, an Michael Joswig. Long an wining central paths. arxiv: , [3] Antal Balog an Imre Bárány. On the convex hull of the integer points in a isc. In Proceeings of the Seventh Annual Symposium on Computational Geometry, pages , [4] Nicolas Bonifas, Marco Di Summa, Frierich Eisenbran, Nicolai Hähnle, an Martin Niemeier. On sub-eterminants an the iameter of polyhera. Discrete an Computational Geometry, 52: , [5] Charles Colbourn, William Kocay, an Douglas Stinson. Some NP-complete problems for hypergraph egree sequences. Discrete Applie Mathematics, 14: , [6] Alberto Del Pia an Carla Michini. On the iameter of lattice polytopes. Discrete an Computational Geometry, 55: , [7] Antoine Deza, George Manoussakis, an Shmuel Onn. Primitive zonotopes. Discrete an Computational Geometry, (to appear. [8] Antoine Deza an Lionel Pournin. Improve bouns on the iameter of lattice polytopes. arxiv: , [9] Davi Eppstein. Zonohera an zonotopes. Mathematica in Eucation an Research, 5:15 21, [10] Paul Erös an Tibor Gallai. Graphs with prescribe egrees of vertices (in Hungarian. Matematikai Lopak, 11: , [11] Komei Fukua. Lecture notes: Polyheral computation. ethz.ch/personal/fukuak/lect/pclect/notes2015/. [12] Martin Grötschel, Laszlo Lovász, an Alexaner Schrijver. Geometric algorithms an combinatorial optimization. Springer, [13] Branko Grünbaum. Convex Polytopes. Grauate Texts in Mathematics. Springer, [14] James Humphreys. Reflection groups an Coxeter groups. Cambrige Stuies in Avance Mathematics. Cambrige University Press, [15] Gil Kalai an Daniel Kleitman. A quasi-polynomial boun for the iameter of graphs of polyhera. Bulletin of the American Mathematical Society, 26: , [16] Peter Kleinschmit an Shmuel Onn. On the iameter of convex polytopes. Discrete Mathematics, 102:75 77, 1992.

22 21 [17] Caroline Klivans an Vic Reiner. Shifte set families, egree sequences, an plethysm. Electronic Journal of Combinatorics, 15 (1, [18] Ricky Liu. Nonconvexity of the set of hypergraph egree sequences. Electronic Journal of Combinatorics, 20 (1, [19] Michal Melame an Shmuel Onn. Convex integer optimization by constantly many linear counterparts. Linear Algebra an its Applications, 447:88 109, [20] N.L. Bhanu Murthy an Murali K. Srinivasan. The polytope of egree sequences of hypergraphs. Linear Algebra an its Applications, 350: , [21] Dennis Naef. The Hirsch conjecture is true for (0, 1-polytopes. Mathematical Programming, 45: , [22] Shmuel Onn. Nonlinear Discrete Optimization. Zurich Lectures in Avance Mathematics. European Mathematical Society, [23] Shmuel Onn an Uriel G. Rothblum. Convex combinatorial optimization. Discrete an Computational Geometry, 32: , [24] Francisco Santos. A counterexample to the Hirsch conjecture. Annals of Mathematics, 176: , [25] Neil Sloane (eitor. The on-line encyclopeia of integer sequences. org. [26] Ivan Soprunov an Jenya Soprunova. Eventual quasi-linearity of the Minkowski length. European Journal of Combinatorics, 58: , [27] Noriyoshi Sukegawa. Improving bouns on the iameter of a polyheron in high imensions. arxiv: , [28] Torsten Thiele. Extremalprobleme für Punktmengen. Diplomarbeit, Freie Universität Berlin, [29] Michael To. An improve Kalai-Kleitman boun for the iameter of a polyheron. SIAM Journal on Discrete Mathematics, 28: , [30] Günter Ziegler. Lectures on Polytopes. Grauate Texts in Mathematics. Springer, Antoine Deza, Avance Optimization Laboratory, Faculty of Engineering McMaster University, Hamilton, Ontario, Canaa. eza@mcmaster.ca

23 22 George Manoussakis, Laboratoire e Recherche en Informatique Université e Paris Su, Orsay, France. george@lri.fr Shmuel Onn, Operations Research, Davison faculty of IE & M Technion Israel Institute of Technology, Haifa, Israel. onn@ie.technion.ac.il

Small Primitive Zonotopes

Small Primitive Zonotopes Small Primitive Zonotopes Antoine Deza, George Manoussakis an Shmuel Onn Abstract We stuy a family of lattice polytopes, calle primitive zonotopes,escribe instances with small parameters, an iscuss connections

More information

McMaster University. Advanced Optimization Laboratory. Title: The Central Path Visits all the Vertices of the Klee-Minty Cube.

McMaster University. Advanced Optimization Laboratory. Title: The Central Path Visits all the Vertices of the Klee-Minty Cube. McMaster University Avance Optimization Laboratory Title: The Central Path Visits all the Vertices of the Klee-Minty Cube Authors: Antoine Deza, Eissa Nematollahi, Reza Peyghami an Tamás Terlaky AvOl-Report

More information

Discrete Mathematics

Discrete Mathematics Discrete Mathematics 309 (009) 86 869 Contents lists available at ScienceDirect Discrete Mathematics journal homepage: wwwelseviercom/locate/isc Profile vectors in the lattice of subspaces Dániel Gerbner

More information

Acute sets in Euclidean spaces

Acute sets in Euclidean spaces Acute sets in Eucliean spaces Viktor Harangi April, 011 Abstract A finite set H in R is calle an acute set if any angle etermine by three points of H is acute. We examine the maximal carinality α() of

More information

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control 19 Eigenvalues, Eigenvectors, Orinary Differential Equations, an Control This section introuces eigenvalues an eigenvectors of a matrix, an iscusses the role of the eigenvalues in etermining the behavior

More information

Iterated Point-Line Configurations Grow Doubly-Exponentially

Iterated Point-Line Configurations Grow Doubly-Exponentially Iterate Point-Line Configurations Grow Doubly-Exponentially Joshua Cooper an Mark Walters July 9, 008 Abstract Begin with a set of four points in the real plane in general position. A to this collection

More information

Lower Bounds for the Smoothed Number of Pareto optimal Solutions

Lower Bounds for the Smoothed Number of Pareto optimal Solutions Lower Bouns for the Smoothe Number of Pareto optimal Solutions Tobias Brunsch an Heiko Röglin Department of Computer Science, University of Bonn, Germany brunsch@cs.uni-bonn.e, heiko@roeglin.org Abstract.

More information

Permanent vs. Determinant

Permanent vs. Determinant Permanent vs. Determinant Frank Ban Introuction A major problem in theoretical computer science is the Permanent vs. Determinant problem. It asks: given an n by n matrix of ineterminates A = (a i,j ) an

More information

Chromatic number for a generalization of Cartesian product graphs

Chromatic number for a generalization of Cartesian product graphs Chromatic number for a generalization of Cartesian prouct graphs Daniel Král Douglas B. West Abstract Let G be a class of graphs. The -fol gri over G, enote G, is the family of graphs obtaine from -imensional

More information

Nonlinear Discrete Optimization

Nonlinear Discrete Optimization Nonlinear Discrete Optimization Technion Israel Institute of Technology http://ie.technion.ac.il/~onn Billerafest 2008 - conference in honor of Lou Billera's 65th birthday (Update on Lecture Series given

More information

Two formulas for the Euler ϕ-function

Two formulas for the Euler ϕ-function Two formulas for the Euler ϕ-function Robert Frieman A multiplication formula for ϕ(n) The first formula we want to prove is the following: Theorem 1. If n 1 an n 2 are relatively prime positive integers,

More information

A new proof of the sharpness of the phase transition for Bernoulli percolation on Z d

A new proof of the sharpness of the phase transition for Bernoulli percolation on Z d A new proof of the sharpness of the phase transition for Bernoulli percolation on Z Hugo Duminil-Copin an Vincent Tassion October 8, 205 Abstract We provie a new proof of the sharpness of the phase transition

More information

A Note on Exact Solutions to Linear Differential Equations by the Matrix Exponential

A Note on Exact Solutions to Linear Differential Equations by the Matrix Exponential Avances in Applie Mathematics an Mechanics Av. Appl. Math. Mech. Vol. 1 No. 4 pp. 573-580 DOI: 10.4208/aamm.09-m0946 August 2009 A Note on Exact Solutions to Linear Differential Equations by the Matrix

More information

Diophantine Approximations: Examining the Farey Process and its Method on Producing Best Approximations

Diophantine Approximations: Examining the Farey Process and its Method on Producing Best Approximations Diophantine Approximations: Examining the Farey Process an its Metho on Proucing Best Approximations Kelly Bowen Introuction When a person hears the phrase irrational number, one oes not think of anything

More information

Ramsey numbers of some bipartite graphs versus complete graphs

Ramsey numbers of some bipartite graphs versus complete graphs Ramsey numbers of some bipartite graphs versus complete graphs Tao Jiang, Michael Salerno Miami University, Oxfor, OH 45056, USA Abstract. The Ramsey number r(h, K n ) is the smallest positive integer

More information

Combinatorica 9(1)(1989) A New Lower Bound for Snake-in-the-Box Codes. Jerzy Wojciechowski. AMS subject classification 1980: 05 C 35, 94 B 25

Combinatorica 9(1)(1989) A New Lower Bound for Snake-in-the-Box Codes. Jerzy Wojciechowski. AMS subject classification 1980: 05 C 35, 94 B 25 Combinatorica 9(1)(1989)91 99 A New Lower Boun for Snake-in-the-Box Coes Jerzy Wojciechowski Department of Pure Mathematics an Mathematical Statistics, University of Cambrige, 16 Mill Lane, Cambrige, CB2

More information

Lecture 5. Symmetric Shearer s Lemma

Lecture 5. Symmetric Shearer s Lemma Stanfor University Spring 208 Math 233: Non-constructive methos in combinatorics Instructor: Jan Vonrák Lecture ate: January 23, 208 Original scribe: Erik Bates Lecture 5 Symmetric Shearer s Lemma Here

More information

u!i = a T u = 0. Then S satisfies

u!i = a T u = 0. Then S satisfies Deterministic Conitions for Subspace Ientifiability from Incomplete Sampling Daniel L Pimentel-Alarcón, Nigel Boston, Robert D Nowak University of Wisconsin-Maison Abstract Consier an r-imensional subspace

More information

LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION

LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION The Annals of Statistics 1997, Vol. 25, No. 6, 2313 2327 LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION By Eva Riccomagno, 1 Rainer Schwabe 2 an Henry P. Wynn 1 University of Warwick, Technische

More information

arxiv: v1 [math.mg] 10 Apr 2018

arxiv: v1 [math.mg] 10 Apr 2018 ON THE VOLUME BOUND IN THE DVORETZKY ROGERS LEMMA FERENC FODOR, MÁRTON NASZÓDI, AND TAMÁS ZARNÓCZ arxiv:1804.03444v1 [math.mg] 10 Apr 2018 Abstract. The classical Dvoretzky Rogers lemma provies a eterministic

More information

ALGEBRAIC AND ANALYTIC PROPERTIES OF ARITHMETIC FUNCTIONS

ALGEBRAIC AND ANALYTIC PROPERTIES OF ARITHMETIC FUNCTIONS ALGEBRAIC AND ANALYTIC PROPERTIES OF ARITHMETIC FUNCTIONS MARK SCHACHNER Abstract. When consiere as an algebraic space, the set of arithmetic functions equippe with the operations of pointwise aition an

More information

International Journal of Pure and Applied Mathematics Volume 35 No , ON PYTHAGOREAN QUADRUPLES Edray Goins 1, Alain Togbé 2

International Journal of Pure and Applied Mathematics Volume 35 No , ON PYTHAGOREAN QUADRUPLES Edray Goins 1, Alain Togbé 2 International Journal of Pure an Applie Mathematics Volume 35 No. 3 007, 365-374 ON PYTHAGOREAN QUADRUPLES Eray Goins 1, Alain Togbé 1 Department of Mathematics Purue University 150 North University Street,

More information

On the enumeration of partitions with summands in arithmetic progression

On the enumeration of partitions with summands in arithmetic progression AUSTRALASIAN JOURNAL OF COMBINATORICS Volume 8 (003), Pages 149 159 On the enumeration of partitions with summans in arithmetic progression M. A. Nyblom C. Evans Department of Mathematics an Statistics

More information

arxiv: v1 [math.co] 15 Sep 2015

arxiv: v1 [math.co] 15 Sep 2015 Circular coloring of signe graphs Yingli Kang, Eckhar Steffen arxiv:1509.04488v1 [math.co] 15 Sep 015 Abstract Let k, ( k) be two positive integers. We generalize the well stuie notions of (k, )-colorings

More information

Lower bounds on Locality Sensitive Hashing

Lower bounds on Locality Sensitive Hashing Lower bouns on Locality Sensitive Hashing Rajeev Motwani Assaf Naor Rina Panigrahy Abstract Given a metric space (X, X ), c 1, r > 0, an p, q [0, 1], a istribution over mappings H : X N is calle a (r,

More information

Robustness and Perturbations of Minimal Bases

Robustness and Perturbations of Minimal Bases Robustness an Perturbations of Minimal Bases Paul Van Dooren an Froilán M Dopico December 9, 2016 Abstract Polynomial minimal bases of rational vector subspaces are a classical concept that plays an important

More information

MARTIN HENK AND MAKOTO TAGAMI

MARTIN HENK AND MAKOTO TAGAMI LOWER BOUNDS ON THE COEFFICIENTS OF EHRHART POLYNOMIALS MARTIN HENK AND MAKOTO TAGAMI Abstract. We present lower bouns for the coefficients of Ehrhart polynomials of convex lattice polytopes in terms of

More information

Agmon Kolmogorov Inequalities on l 2 (Z d )

Agmon Kolmogorov Inequalities on l 2 (Z d ) Journal of Mathematics Research; Vol. 6, No. ; 04 ISSN 96-9795 E-ISSN 96-9809 Publishe by Canaian Center of Science an Eucation Agmon Kolmogorov Inequalities on l (Z ) Arman Sahovic Mathematics Department,

More information

Least-Squares Regression on Sparse Spaces

Least-Squares Regression on Sparse Spaces Least-Squares Regression on Sparse Spaces Yuri Grinberg, Mahi Milani Far, Joelle Pineau School of Computer Science McGill University Montreal, Canaa {ygrinb,mmilan1,jpineau}@cs.mcgill.ca 1 Introuction

More information

On colour-blind distinguishing colour pallets in regular graphs

On colour-blind distinguishing colour pallets in regular graphs J Comb Optim (2014 28:348 357 DOI 10.1007/s10878-012-9556-x On colour-blin istinguishing colour pallets in regular graphs Jakub Przybyło Publishe online: 25 October 2012 The Author(s 2012. This article

More information

Counting Lattice Points in Polytopes: The Ehrhart Theory

Counting Lattice Points in Polytopes: The Ehrhart Theory 3 Counting Lattice Points in Polytopes: The Ehrhart Theory Ubi materia, ibi geometria. Johannes Kepler (1571 1630) Given the profusion of examples that gave rise to the polynomial behavior of the integer-point

More information

TOEPLITZ AND POSITIVE SEMIDEFINITE COMPLETION PROBLEM FOR CYCLE GRAPH

TOEPLITZ AND POSITIVE SEMIDEFINITE COMPLETION PROBLEM FOR CYCLE GRAPH English NUMERICAL MATHEMATICS Vol14, No1 Series A Journal of Chinese Universities Feb 2005 TOEPLITZ AND POSITIVE SEMIDEFINITE COMPLETION PROBLEM FOR CYCLE GRAPH He Ming( Λ) Michael K Ng(Ξ ) Abstract We

More information

Computing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions

Computing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions Working Paper 2013:5 Department of Statistics Computing Exact Confience Coefficients of Simultaneous Confience Intervals for Multinomial Proportions an their Functions Shaobo Jin Working Paper 2013:5

More information

Lecture Introduction. 2 Examples of Measure Concentration. 3 The Johnson-Lindenstrauss Lemma. CS-621 Theory Gems November 28, 2012

Lecture Introduction. 2 Examples of Measure Concentration. 3 The Johnson-Lindenstrauss Lemma. CS-621 Theory Gems November 28, 2012 CS-6 Theory Gems November 8, 0 Lecture Lecturer: Alesaner Mąry Scribes: Alhussein Fawzi, Dorina Thanou Introuction Toay, we will briefly iscuss an important technique in probability theory measure concentration

More information

n 1 conv(ai) 0. ( 8. 1 ) we get u1 = u2 = = ur. Hence the common value of all the Uj Tverberg's Tl1eorem

n 1 conv(ai) 0. ( 8. 1 ) we get u1 = u2 = = ur. Hence the common value of all the Uj Tverberg's Tl1eorem 8.3 Tverberg's Tl1eorem 203 hence Uj E cone(aj ) Above we have erive L;=l 'Pi (uj ) = 0, an so by ( 8. 1 ) we get u1 = u2 = = ur. Hence the common value of all the Uj belongs to n;=l cone(aj ). It remains

More information

Relatively Prime Uniform Partitions

Relatively Prime Uniform Partitions Gen. Math. Notes, Vol. 13, No., December, 01, pp.1-1 ISSN 19-7184; Copyright c ICSRS Publication, 01 www.i-csrs.org Available free online at http://www.geman.in Relatively Prime Uniform Partitions A. Davi

More information

ON THE INTEGRAL RING SPANNED BY GENUS TWO WEIGHT ENUMERATORS. Manabu Oura

ON THE INTEGRAL RING SPANNED BY GENUS TWO WEIGHT ENUMERATORS. Manabu Oura ON THE INTEGRAL RING SPANNED BY GENUS TWO WEIGHT ENUMERATORS Manabu Oura Abstract. It is known that the weight enumerator of a self-ual oublyeven coe in genus g = 1 can be uniquely written as an isobaric

More information

On the number of isolated eigenvalues of a pair of particles in a quantum wire

On the number of isolated eigenvalues of a pair of particles in a quantum wire On the number of isolate eigenvalues of a pair of particles in a quantum wire arxiv:1812.11804v1 [math-ph] 31 Dec 2018 Joachim Kerner 1 Department of Mathematics an Computer Science FernUniversität in

More information

NOTES ON EULER-BOOLE SUMMATION (1) f (l 1) (n) f (l 1) (m) + ( 1)k 1 k! B k (y) f (k) (y) dy,

NOTES ON EULER-BOOLE SUMMATION (1) f (l 1) (n) f (l 1) (m) + ( 1)k 1 k! B k (y) f (k) (y) dy, NOTES ON EULER-BOOLE SUMMATION JONATHAN M BORWEIN, NEIL J CALKIN, AND DANTE MANNA Abstract We stuy a connection between Euler-MacLaurin Summation an Boole Summation suggeste in an AMM note from 196, which

More information

Sharp Thresholds. Zachary Hamaker. March 15, 2010

Sharp Thresholds. Zachary Hamaker. March 15, 2010 Sharp Threshols Zachary Hamaker March 15, 2010 Abstract The Kolmogorov Zero-One law states that for tail events on infinite-imensional probability spaces, the probability must be either zero or one. Behavior

More information

SYMMETRIC KRONECKER PRODUCTS AND SEMICLASSICAL WAVE PACKETS

SYMMETRIC KRONECKER PRODUCTS AND SEMICLASSICAL WAVE PACKETS SYMMETRIC KRONECKER PRODUCTS AND SEMICLASSICAL WAVE PACKETS GEORGE A HAGEDORN AND CAROLINE LASSER Abstract We investigate the iterate Kronecker prouct of a square matrix with itself an prove an invariance

More information

COUNTING VALUE SETS: ALGORITHM AND COMPLEXITY

COUNTING VALUE SETS: ALGORITHM AND COMPLEXITY COUNTING VALUE SETS: ALGORITHM AND COMPLEXITY QI CHENG, JOSHUA E. HILL, AND DAQING WAN Abstract. Let p be a prime. Given a polynomial in F p m[x] of egree over the finite fiel F p m, one can view it as

More information

Large Triangles in the d-dimensional Unit-Cube (Extended Abstract)

Large Triangles in the d-dimensional Unit-Cube (Extended Abstract) Large Triangles in the -Dimensional Unit-Cube Extene Abstract) Hanno Lefmann Fakultät für Informatik, TU Chemnitz, D-0907 Chemnitz, Germany lefmann@informatik.tu-chemnitz.e Abstract. We consier a variant

More information

SOME RESULTS ON THE GEOMETRY OF MINKOWSKI PLANE. Bing Ye Wu

SOME RESULTS ON THE GEOMETRY OF MINKOWSKI PLANE. Bing Ye Wu ARCHIVUM MATHEMATICUM (BRNO Tomus 46 (21, 177 184 SOME RESULTS ON THE GEOMETRY OF MINKOWSKI PLANE Bing Ye Wu Abstract. In this paper we stuy the geometry of Minkowski plane an obtain some results. We focus

More information

7.1 Support Vector Machine

7.1 Support Vector Machine 67577 Intro. to Machine Learning Fall semester, 006/7 Lecture 7: Support Vector Machines an Kernel Functions II Lecturer: Amnon Shashua Scribe: Amnon Shashua 7. Support Vector Machine We return now to

More information

arxiv: v1 [math.co] 29 May 2009

arxiv: v1 [math.co] 29 May 2009 arxiv:0905.4913v1 [math.co] 29 May 2009 simple Havel-Hakimi type algorithm to realize graphical egree sequences of irecte graphs Péter L. Erős an István Miklós. Rényi Institute of Mathematics, Hungarian

More information

6 General properties of an autonomous system of two first order ODE

6 General properties of an autonomous system of two first order ODE 6 General properties of an autonomous system of two first orer ODE Here we embark on stuying the autonomous system of two first orer ifferential equations of the form ẋ 1 = f 1 (, x 2 ), ẋ 2 = f 2 (, x

More information

FLUCTUATIONS IN THE NUMBER OF POINTS ON SMOOTH PLANE CURVES OVER FINITE FIELDS. 1. Introduction

FLUCTUATIONS IN THE NUMBER OF POINTS ON SMOOTH PLANE CURVES OVER FINITE FIELDS. 1. Introduction FLUCTUATIONS IN THE NUMBER OF POINTS ON SMOOTH PLANE CURVES OVER FINITE FIELDS ALINA BUCUR, CHANTAL DAVID, BROOKE FEIGON, MATILDE LALÍN 1 Introuction In this note, we stuy the fluctuations in the number

More information

On the minimum distance of elliptic curve codes

On the minimum distance of elliptic curve codes On the minimum istance of elliptic curve coes Jiyou Li Department of Mathematics Shanghai Jiao Tong University Shanghai PRChina Email: lijiyou@sjtueucn Daqing Wan Department of Mathematics University of

More information

Lecture 2 Lagrangian formulation of classical mechanics Mechanics

Lecture 2 Lagrangian formulation of classical mechanics Mechanics Lecture Lagrangian formulation of classical mechanics 70.00 Mechanics Principle of stationary action MATH-GA To specify a motion uniquely in classical mechanics, it suffices to give, at some time t 0,

More information

FIRST YEAR PHD REPORT

FIRST YEAR PHD REPORT FIRST YEAR PHD REPORT VANDITA PATEL Abstract. We look at some potential links between totally real number fiels an some theta expansions (these being moular forms). The literature relate to moular forms

More information

Lie symmetry and Mei conservation law of continuum system

Lie symmetry and Mei conservation law of continuum system Chin. Phys. B Vol. 20, No. 2 20 020 Lie symmetry an Mei conservation law of continuum system Shi Shen-Yang an Fu Jing-Li Department of Physics, Zhejiang Sci-Tech University, Hangzhou 3008, China Receive

More information

IMFM Institute of Mathematics, Physics and Mechanics Jadranska 19, 1000 Ljubljana, Slovenia. Preprint series Vol. 50 (2012), 1173 ISSN

IMFM Institute of Mathematics, Physics and Mechanics Jadranska 19, 1000 Ljubljana, Slovenia. Preprint series Vol. 50 (2012), 1173 ISSN IMFM Institute of Mathematics, Physics an Mechanics Jaransa 19, 1000 Ljubljana, Slovenia Preprint series Vol. 50 (2012), 1173 ISSN 2232-2094 PARITY INDEX OF BINARY WORDS AND POWERS OF PRIME WORDS Alesanar

More information

Hilbert functions and Betti numbers of reverse lexicographic ideals in the exterior algebra

Hilbert functions and Betti numbers of reverse lexicographic ideals in the exterior algebra Turk J Math 36 (2012), 366 375. c TÜBİTAK oi:10.3906/mat-1102-21 Hilbert functions an Betti numbers of reverse lexicographic ieals in the exterior algebra Marilena Crupi, Carmela Ferró Abstract Let K be

More information

Exact distance graphs of product graphs

Exact distance graphs of product graphs Exact istance graphs of prouct graphs Boštjan Brešar a,b Nicolas Gastineau c Sani Klavžar a,b, Olivier Togni c August 31, 2018 a Faculty of Natural Sciences an Mathematics, University of Maribor, Slovenia

More information

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent

More information

Problem Sheet 2: Eigenvalues and eigenvectors and their use in solving linear ODEs

Problem Sheet 2: Eigenvalues and eigenvectors and their use in solving linear ODEs Problem Sheet 2: Eigenvalues an eigenvectors an their use in solving linear ODEs If you fin any typos/errors in this problem sheet please email jk28@icacuk The material in this problem sheet is not examinable

More information

On the Enumeration of Double-Base Chains with Applications to Elliptic Curve Cryptography

On the Enumeration of Double-Base Chains with Applications to Elliptic Curve Cryptography On the Enumeration of Double-Base Chains with Applications to Elliptic Curve Cryptography Christophe Doche Department of Computing Macquarie University, Australia christophe.oche@mq.eu.au. Abstract. The

More information

Tractability results for weighted Banach spaces of smooth functions

Tractability results for weighted Banach spaces of smooth functions Tractability results for weighte Banach spaces of smooth functions Markus Weimar Mathematisches Institut, Universität Jena Ernst-Abbe-Platz 2, 07740 Jena, Germany email: markus.weimar@uni-jena.e March

More information

2Algebraic ONLINE PAGE PROOFS. foundations

2Algebraic ONLINE PAGE PROOFS. foundations Algebraic founations. Kick off with CAS. Algebraic skills.3 Pascal s triangle an binomial expansions.4 The binomial theorem.5 Sets of real numbers.6 Surs.7 Review . Kick off with CAS Playing lotto Using

More information

On combinatorial approaches to compressed sensing

On combinatorial approaches to compressed sensing On combinatorial approaches to compresse sensing Abolreza Abolhosseini Moghaam an Hayer Raha Department of Electrical an Computer Engineering, Michigan State University, East Lansing, MI, U.S. Emails:{abolhos,raha}@msu.eu

More information

Witt#5: Around the integrality criterion 9.93 [version 1.1 (21 April 2013), not completed, not proofread]

Witt#5: Around the integrality criterion 9.93 [version 1.1 (21 April 2013), not completed, not proofread] Witt vectors. Part 1 Michiel Hazewinkel Sienotes by Darij Grinberg Witt#5: Aroun the integrality criterion 9.93 [version 1.1 21 April 2013, not complete, not proofrea In [1, section 9.93, Hazewinkel states

More information

DECOMPOSITION OF POLYNOMIALS AND APPROXIMATE ROOTS

DECOMPOSITION OF POLYNOMIALS AND APPROXIMATE ROOTS DECOMPOSITION OF POLYNOMIALS AND APPROXIMATE ROOTS ARNAUD BODIN Abstract. We state a kin of Eucliian ivision theorem: given a polynomial P (x) an a ivisor of the egree of P, there exist polynomials h(x),

More information

Physics 5153 Classical Mechanics. The Virial Theorem and The Poisson Bracket-1

Physics 5153 Classical Mechanics. The Virial Theorem and The Poisson Bracket-1 Physics 5153 Classical Mechanics The Virial Theorem an The Poisson Bracket 1 Introuction In this lecture we will consier two applications of the Hamiltonian. The first, the Virial Theorem, applies to systems

More information

d-dimensional Arrangement Revisited

d-dimensional Arrangement Revisited -Dimensional Arrangement Revisite Daniel Rotter Jens Vygen Research Institute for Discrete Mathematics University of Bonn Revise version: April 5, 013 Abstract We revisit the -imensional arrangement problem

More information

A Note on Modular Partitions and Necklaces

A Note on Modular Partitions and Necklaces A Note on Moular Partitions an Neclaces N. J. A. Sloane, Rutgers University an The OEIS Founation Inc. South Aelaie Avenue, Highlan Par, NJ 08904, USA. Email: njasloane@gmail.com May 6, 204 Abstract Following

More information

PDE Notes, Lecture #11

PDE Notes, Lecture #11 PDE Notes, Lecture # from Professor Jalal Shatah s Lectures Febuary 9th, 2009 Sobolev Spaces Recall that for u L loc we can efine the weak erivative Du by Du, φ := udφ φ C0 If v L loc such that Du, φ =

More information

12.11 Laplace s Equation in Cylindrical and

12.11 Laplace s Equation in Cylindrical and SEC. 2. Laplace s Equation in Cylinrical an Spherical Coorinates. Potential 593 2. Laplace s Equation in Cylinrical an Spherical Coorinates. Potential One of the most important PDEs in physics an engineering

More information

Perfect Matchings in Õ(n1.5 ) Time in Regular Bipartite Graphs

Perfect Matchings in Õ(n1.5 ) Time in Regular Bipartite Graphs Perfect Matchings in Õ(n1.5 ) Time in Regular Bipartite Graphs Ashish Goel Michael Kapralov Sanjeev Khanna Abstract We consier the well-stuie problem of fining a perfect matching in -regular bipartite

More information

arxiv: v2 [math.dg] 16 Dec 2014

arxiv: v2 [math.dg] 16 Dec 2014 A ONOTONICITY FORULA AND TYPE-II SINGULARITIES FOR THE EAN CURVATURE FLOW arxiv:1312.4775v2 [math.dg] 16 Dec 2014 YONGBING ZHANG Abstract. In this paper, we introuce a monotonicity formula for the mean

More information

THE GENUINE OMEGA-REGULAR UNITARY DUAL OF THE METAPLECTIC GROUP

THE GENUINE OMEGA-REGULAR UNITARY DUAL OF THE METAPLECTIC GROUP THE GENUINE OMEGA-REGULAR UNITARY DUAL OF THE METAPLECTIC GROUP ALESSANDRA PANTANO, ANNEGRET PAUL, AND SUSANA A. SALAMANCA-RIBA Abstract. We classify all genuine unitary representations of the metaplectic

More information

Lecture 10: October 30, 2017

Lecture 10: October 30, 2017 Information an Coing Theory Autumn 2017 Lecturer: Mahur Tulsiani Lecture 10: October 30, 2017 1 I-Projections an applications In this lecture, we will talk more about fining the istribution in a set Π

More information

REAL ANALYSIS I HOMEWORK 5

REAL ANALYSIS I HOMEWORK 5 REAL ANALYSIS I HOMEWORK 5 CİHAN BAHRAN The questions are from Stein an Shakarchi s text, Chapter 3. 1. Suppose ϕ is an integrable function on R with R ϕ(x)x = 1. Let K δ(x) = δ ϕ(x/δ), δ > 0. (a) Prove

More information

Global Optimization for Algebraic Geometry Computing Runge Kutta Methods

Global Optimization for Algebraic Geometry Computing Runge Kutta Methods Global Optimization for Algebraic Geometry Computing Runge Kutta Methos Ivan Martino 1 an Giuseppe Nicosia 2 1 Department of Mathematics, Stockholm University, Sween martino@math.su.se 2 Department of

More information

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold CHAPTER 1 : DIFFERENTIABLE MANIFOLDS 1.1 The efinition of a ifferentiable manifol Let M be a topological space. This means that we have a family Ω of open sets efine on M. These satisfy (1), M Ω (2) the

More information

Lecture 22. Lecturer: Michel X. Goemans Scribe: Alantha Newman (2004), Ankur Moitra (2009)

Lecture 22. Lecturer: Michel X. Goemans Scribe: Alantha Newman (2004), Ankur Moitra (2009) 8.438 Avance Combinatorial Optimization Lecture Lecturer: Michel X. Goemans Scribe: Alantha Newman (004), Ankur Moitra (009) MultiFlows an Disjoint Paths Here we will survey a number of variants of isjoint

More information

Schrödinger s equation.

Schrödinger s equation. Physics 342 Lecture 5 Schröinger s Equation Lecture 5 Physics 342 Quantum Mechanics I Wenesay, February 3r, 2010 Toay we iscuss Schröinger s equation an show that it supports the basic interpretation of

More information

arxiv: v4 [math.pr] 27 Jul 2016

arxiv: v4 [math.pr] 27 Jul 2016 The Asymptotic Distribution of the Determinant of a Ranom Correlation Matrix arxiv:309768v4 mathpr] 7 Jul 06 AM Hanea a, & GF Nane b a Centre of xcellence for Biosecurity Risk Analysis, University of Melbourne,

More information

Some properties of random staircase tableaux

Some properties of random staircase tableaux Some properties of ranom staircase tableaux Sanrine Dasse Hartaut Pawe l Hitczenko Downloae /4/7 to 744940 Reistribution subject to SIAM license or copyright; see http://wwwsiamorg/journals/ojsaphp Abstract

More information

INTERSECTION HOMOLOGY OF LINKAGE SPACES IN ODD DIMENSIONAL EUCLIDEAN SPACE

INTERSECTION HOMOLOGY OF LINKAGE SPACES IN ODD DIMENSIONAL EUCLIDEAN SPACE INTERSECTION HOMOLOGY OF LINKAGE SPACES IN ODD DIMENSIONAL EUCLIDEAN SPACE DIRK SCHÜTZ Abstract. We consier the mouli spaces M (l) of a close linkage with n links an prescribe lengths l R n in -imensional

More information

THE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE

THE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE Journal of Soun an Vibration (1996) 191(3), 397 414 THE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE E. M. WEINSTEIN Galaxy Scientific Corporation, 2500 English Creek

More information

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x) Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)

More information

Systems & Control Letters

Systems & Control Letters Systems & ontrol Letters ( ) ontents lists available at ScienceDirect Systems & ontrol Letters journal homepage: www.elsevier.com/locate/sysconle A converse to the eterministic separation principle Jochen

More information

7. Localization. (d 1, m 1 ) (d 2, m 2 ) d 3 D : d 3 d 1 m 2 = d 3 d 2 m 1. (ii) If (d 1, m 1 ) (d 1, m 1 ) and (d 2, m 2 ) (d 2, m 2 ) then

7. Localization. (d 1, m 1 ) (d 2, m 2 ) d 3 D : d 3 d 1 m 2 = d 3 d 2 m 1. (ii) If (d 1, m 1 ) (d 1, m 1 ) and (d 2, m 2 ) (d 2, m 2 ) then 7. Localization To prove Theorem 6.1 it becomes necessary to be able to a enominators to rings (an to moules), even when the rings have zero-ivisors. It is a tool use all the time in commutative algebra,

More information

Table of Common Derivatives By David Abraham

Table of Common Derivatives By David Abraham Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec

More information

Symbolic integration with respect to the Haar measure on the unitary groups

Symbolic integration with respect to the Haar measure on the unitary groups BULLETIN OF THE POLISH ACADEMY OF SCIENCES TECHNICAL SCIENCES, Vol. 65, No., 207 DOI: 0.55/bpasts-207-0003 Symbolic integration with respect to the Haar measure on the unitary groups Z. PUCHAŁA* an J.A.

More information

MAXIMAL PERIODS OF (EHRHART) QUASI-POLYNOMIALS

MAXIMAL PERIODS OF (EHRHART) QUASI-POLYNOMIALS MAXIMAL PERIODS OF (EHRHART QUASI-POLYNOMIALS MATTHIAS BECK, STEVEN V. SAM, AND KEVIN M. WOODS Abstract. A quasi-polynomial is a function defined of the form q(k = c d (k k d + c d 1 (k k d 1 + + c 0(k,

More information

Final Exam Study Guide and Practice Problems Solutions

Final Exam Study Guide and Practice Problems Solutions Final Exam Stuy Guie an Practice Problems Solutions Note: These problems are just some of the types of problems that might appear on the exam. However, to fully prepare for the exam, in aition to making

More information

Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1

Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1 Assignment 1 Golstein 1.4 The equations of motion for the rolling isk are special cases of general linear ifferential equations of constraint of the form g i (x 1,..., x n x i = 0. i=1 A constraint conition

More information

Asymptotic determination of edge-bandwidth of multidimensional grids and Hamming graphs

Asymptotic determination of edge-bandwidth of multidimensional grids and Hamming graphs Asymptotic etermination of ege-banwith of multiimensional gris an Hamming graphs Reza Akhtar Tao Jiang Zevi Miller. Revise on May 7, 007 Abstract The ege-banwith B (G) of a graph G is the banwith of the

More information

Introduction to the Vlasov-Poisson system

Introduction to the Vlasov-Poisson system Introuction to the Vlasov-Poisson system Simone Calogero 1 The Vlasov equation Consier a particle with mass m > 0. Let x(t) R 3 enote the position of the particle at time t R an v(t) = ẋ(t) = x(t)/t its

More information

Neighborly families of boxes and bipartite coverings

Neighborly families of boxes and bipartite coverings Neighborly families of boxes and bipartite coverings Noga Alon Dedicated to Professor Paul Erdős on the occasion of his 80 th birthday Abstract A bipartite covering of order k of the complete graph K n

More information

A Unified Theorem on SDP Rank Reduction

A Unified Theorem on SDP Rank Reduction A Unifie heorem on SDP Ran Reuction Anthony Man Cho So, Yinyu Ye, Jiawei Zhang November 9, 006 Abstract We consier the problem of fining a low ran approximate solution to a system of linear equations in

More information

Survey Sampling. 1 Design-based Inference. Kosuke Imai Department of Politics, Princeton University. February 19, 2013

Survey Sampling. 1 Design-based Inference. Kosuke Imai Department of Politics, Princeton University. February 19, 2013 Survey Sampling Kosuke Imai Department of Politics, Princeton University February 19, 2013 Survey sampling is one of the most commonly use ata collection methos for social scientists. We begin by escribing

More information

A Look at the ABC Conjecture via Elliptic Curves

A Look at the ABC Conjecture via Elliptic Curves A Look at the ABC Conjecture via Elliptic Curves Nicole Cleary Brittany DiPietro Alexaner Hill Gerar D.Koffi Beihua Yan Abstract We stuy the connection between elliptic curves an ABC triples. Two important

More information

ELEC3114 Control Systems 1

ELEC3114 Control Systems 1 ELEC34 Control Systems Linear Systems - Moelling - Some Issues Session 2, 2007 Introuction Linear systems may be represente in a number of ifferent ways. Figure shows the relationship between various representations.

More information

Robust Forward Algorithms via PAC-Bayes and Laplace Distributions. ω Q. Pr (y(ω x) < 0) = Pr A k

Robust Forward Algorithms via PAC-Bayes and Laplace Distributions. ω Q. Pr (y(ω x) < 0) = Pr A k A Proof of Lemma 2 B Proof of Lemma 3 Proof: Since the support of LL istributions is R, two such istributions are equivalent absolutely continuous with respect to each other an the ivergence is well-efine

More information

Euler equations for multiple integrals

Euler equations for multiple integrals Euler equations for multiple integrals January 22, 2013 Contents 1 Reminer of multivariable calculus 2 1.1 Vector ifferentiation......................... 2 1.2 Matrix ifferentiation........................

More information

Unit vectors with non-negative inner products

Unit vectors with non-negative inner products Unit vectors with non-negative inner proucts Bos, A.; Seiel, J.J. Publishe: 01/01/1980 Document Version Publisher s PDF, also known as Version of Recor (inclues final page, issue an volume numbers) Please

More information

Monotonicity of facet numbers of random convex hulls

Monotonicity of facet numbers of random convex hulls Monotonicity of facet numbers of ranom convex hulls Gilles Bonnet, Julian Grote, Daniel Temesvari, Christoph Thäle, Nicola Turchi an Florian Wespi arxiv:173.31v1 [math.mg] 7 Mar 17 Abstract Let X 1,...,

More information