Broadhurst s Dimensions

Size: px
Start display at page:

Download "Broadhurst s Dimensions"

Transcription

1 Broadhurst s Dimesios May 10, 2010 Abstract Broadhurst cojectured a dimesio for the graded pieces of the Q vector space of multiple zeta values based o large scale experimetal computatios. I this talk, I will give a ew meaig to these dimesios by showig that his geeratig series is i fact the geeratig series for a vector space which is cojecturally isomorphic to the Q v.s. of multizeta values. 1 Backgroud Defiitio 1. MZV Defiitio 2. ζ(k) = ζ(k 1,..., k d ) := wt(k) = k i dp(k) = d. 1 > 2 > > d >0 Z := ζ(k) : wt(k) = Q Z d 1 k1 1 k d d := ζ(k) : dp(k) d Q Z, k i Z + k 1 2 Property 1. Z b l Z c m Z b+c l+m Defiitio 3. The vector space of eve period polyomials of weight, P polyomials P satisfyig Q[X], is the space of eve degree(p ) 4 P (X) + X 2 P ( 1 X ) = 0, P (X) + X 2 P (1 1 X ) + (X 1 1) 2 P ( 1 X ) = 0. Do says that this is the wrog defiitio of the period polyomial structure. Let (S w) to deote the coefficiet of the word or moomial w i a polyomial (or power series) S. Lemma 1. From the first relatio, oe may easily deduce that a weight period polyomial satisfies (P X 2i ) = (P X 2 2i ). 1

2 2 The Broadhurst Kreimer cojecture Broadhurst ad Kreimer cojectured the followig formula for Poicaré series for the algebra of multiple zeta values. Defiitio 4. D(X, Y ) O(X) := X3 1 X 2 X 12 S(X) := (1 X 4 )(1 X 6 ) = E(X) := X2 1 X 2 D 0 1 (X, Y ) := 1 OY + SY 2 SY 4 D(X, Y ) := (1 + EY ) D 0 (X, Y ). 12, eve dim(p )X Cojecture 2. (BK) D(X, Y ) =,d dim(z d /Z d 1 )X Y d. 3 Coefficiets i the B-K series ad multiple zeta values Remarks The coefficiet, E, correspods to followig the well-kow cojecture. Cojecture 3. Z := Z 0 Q[π 2 ]. Note that π 2 = kζ(2) where k Q ad that E is the Poicaré series for the for Q[X 2 ] Q[π 2 ]. 2. The coefficiet, O, correspods to aother well-kow cojecture. Cojecture 4. (Zagier) (Z 0 ) Q f i ; i 3, odd. Note that O is the Poicaré series for Q f i ad that if we igore the depth filtratio, i.e. set Y = 1, the D is the Poicaré series for the cojectured multizeta value algebra (from cojectures 3 ad 4) graded by weight. 3. To explai the appearace of S, we itroduce the followig algebras. Defiitio 5. Let N Z = Z / Z 2 >0 Q π 2 Q, which we kow by the work of Ecalle ad Raciet to be a Lie coalgebra. We defie FN Z to be the Lie coalgebra satisfyig all kow relatios betwee MZV s, ad we have that FN Z N Z. The dual of FN Z is a Lie algebra, deoted ds. The Lie algebra, ds ca be see as a subvector space of Q x, y ad it is graded by weight, which is the legth of the words. I Q x, y, the depth of a moomial is the umber of y i it. The elemets i ds are Q liear combiatios of words i varyig depth. We say that a elemet f ds has depth d if d = mi(depth(w); w has o-zero coefficiet i f). 2

3 The Lie algebra ds, is ot graded by depth but it possesses a descedig depth filtratio: ds 1 ds 2 ds 3. We kow at least that ds possesses at least oe elemet of depth 1 i each odd weight 3. Let {s = x 1 y+ terms of higher depth; 3, odd} be a set of depth oe geerators of ds. I [S], Scheps idetifies a Zagier period polyomial with a Poisso bracket of depth 1 elemets of ds by π : P F a ij (X i 1 X j 1 ) a ij {s i, s j }. i+j= i+j= Theorem 5. (Scheps) For all, Im(π ) ds 4. More precisely, the coefficiet of ay moomial of depth 3 or less i ay elemet i the image of π is 0. (This result was kow to Eichler ad Shimura i a differet cotext). 4 Costructio of a algebra satisfyig the B-K cojecture Defiitio 6. Let F be the o-commutative polyomial algebra over Q geerated by elemets of odd weight: F = Q s 3, s 5, s 7,.... The weight of a word i F is the sum of the idices. We therefore have a gradig of F by the weight: F = F. Do says that we should defie this as a tesor algebra, ot a cocateatio algebra. We defie a depth filtratio o F as follows. First, let F P be the image of the liear map P F i+j= =12, eve =0 a ij (X i 1 X j 1 ) i+j= a ij [f i, f j ]. We call the image of a period polyomial by this map a Lie period polyomial. Defiitio 7. Special depth filtratio V 1 := s i Q F V 2 := s i s j Q V 3 := s i s j s k Q V 4 := s i s j s k s l F P Q d 5, V d := ST : S V i, T V j, i + j = d Q F d := i d V i Q. Do says that we should ot use uios of spaces. We caot geerate a space with a space. Nobody does that. Sice F is graded by weight, this defiitio gives us a filtratio o the weight graded pieces: F = F 1 F 2 F /3. Notice that the degree ad the depth of the polyomials i F correspod up to a factor of a (or may) period polyomial(s). This defiitio is ispired by Broadhurst ad Kreimer s series, because the deomiator is tellig us that we should take F P out of depth 2 ad put it i depth 4. 3

4 Theorem 6. (CGS) If cojecture 7 holds, the dimesios of the graded parts associated to the depth filtratio of F are give by the Broadhurst-Kreimer series, D 0 : Cojecture 7. dim(f d /F d+1 ) = ( D 0 x y d). F P V 1 Q V 1 F P Q = 0. More precisely, we wat to show that for ay give odd, ad ay set of period polymomials, each of weight j <, {P j }, the the followig polyomials are always liearly idepedet, {X j 1 P j (Y ) + Y j 1 P j (X) : j < }. Proof. From the expressio for D 0, we have that ( )( ) a + b + c a + b (D 0 y d ) = S a+b O c, so that ( (D 0 x y d ) = 4a+2b+c=d 4a+2b+c=d ( )( ) a + b + c a + b ( 1) b S a+b O c x ). Now, all we have to do is show that this is the same as the dimesio of F d /F d+1. To show that this is ideed the geeratig series, we first idetify subspaces of F d,k F d, which are geerated by polyomials of degree k. This provides a bi-gradig o F d by the degree ad the weight. Remarks 2. Whe d < k, the F d,k = F d+1,k. This is because each V i is geerated by moomials of degree i. So we have: F d.k i k V i Q i d+1 V i Q = F d+1,k Remarks 3. Whe d k is odd, k < d, the F d,k = F d+1,k. F d,k. By defiitio, the degree ad the depth oly vary by factors of F P which is of degree 2 ad of maximal depth 4. Therefore the appearace of a factor of a Lie period polyomial i a elemet of F icreases the depth of that elemet by 2. From remarks 1 ad 2, we have the expressio, F/F d d+1 = F,d/F d d+1,d F,d 2/F d d+1,d 2 F,d 2 d/4 d d+1 /F,d 2 d/4. (1) The key to the proof is to write (for a positive): F d,d 2a (j 0,...,j a) ( (F 1 ) j0 F P (F 1 ) j1 F P (F 1 ) j ) a = N (E J i ), J := {(j 0,..., j a ); Σj i = d 4a, j i 0} = {J 1,..., J N }. (2) This is a isomorphism because this vector space cotais all elemets with degree d 2a ad special depth d, sice there are a factors of F P i there. I order to cout the dimesio of F,d 2a d, the we eed to determie the dimesio of the itersectio of the vector spaces i the sum (2). The Möbius iversio formula for the dimesio of vector spaces is aalogous to the iclusio/exclusio priciple for sets: ( dim(f,d 2a) d N ) = E J i i=0 We eed to establish the followig lemmas. = T [1,N], T 1 ( 1) T 1 ( i T i=1 ) E J i. (3) 4

5 Lemma 8. This is true because F P (F 1 ) 2. It implies that Cojecture 7 tells us that (F 1 ) 2 F P F P (F 1 ) 2 = F P F P. i T E Ji = F a+b P (F 1 ) c. E 1,... E 0,... = (F 1 F P ) (F P ) = 0 because the first factor of F 1 o the left had side crosses the first factor of F P o the right had side. I the geeral case, the dimesio cout reduces to coutig o-crossig partitios of d 4a. We proved that the terms o the right had side of equatio (3) regroup to give the dimesio, ( )( ) a + b + c a + b 1 ( 1) b ( F a+b P (F 1 ) c). The Sice the geeratig series for F P is S ad the geeratig series for F 1 is O, by equatio (3) we have ( )( ) a + b + c a + b 1 (S dim(f,d 2a) d = ( 1) b a+b O c x y d ). dim(f d,d 2a/F d+1,d 2a ) = ( )( ) a + b + c a + b (S ( 1) b a+b O c x y d ). By takig the sum ow over a from equatio (1), we have that ( )( ) a + b + c a + b (S dim(f/f d d+1 ) = ( 1) b a+b O c x y d ). 2b+c+4a=d a list of positive itegers: Refereces [IKZ] K. Ihara, M. Kaeko, D. Zagier, Derivatio ad double shuffle relatios for muliple zeta values, Compositio Math. 142 (2006), pp [R] G. Raciet, Séries géératrices o-commutatives de polyzêtas et associateurs de Drifel d, Thèse de doctorat, Uiversité de Picardie-Jules Vere (2000) [S] L. Scheps, O the Poisso bracket o the free Lie algebra i two geerators, J. Lie Theory, Vol. 16 (2006), pp [Z] D. Zagier, Quelques coséqueces surpreates de la cohomologie de SL 2 (Z), Leços de Mathématiques d Aujourd hui, E. Charpetier ad N. Nikolski, eds., Cassii, Paris (2000), pp

M A T H F A L L CORRECTION. Algebra I 1 4 / 1 0 / U N I V E R S I T Y O F T O R O N T O

M A T H F A L L CORRECTION. Algebra I 1 4 / 1 0 / U N I V E R S I T Y O F T O R O N T O M A T H 2 4 0 F A L L 2 0 1 4 HOMEWORK ASSIGNMENT #4 CORRECTION Algebra I 1 4 / 1 0 / 2 0 1 4 U N I V E R S I T Y O F T O R O N T O P r o f e s s o r : D r o r B a r - N a t a Correctio Homework Assigmet

More information

LECTURE NOTES, 11/10/04

LECTURE NOTES, 11/10/04 18.700 LECTURE NOTES, 11/10/04 Cotets 1. Direct sum decompositios 1 2. Geeralized eigespaces 3 3. The Chiese remaider theorem 5 4. Liear idepedece of geeralized eigespaces 8 1. Direct sum decompositios

More information

The multiplicative structure of finite field and a construction of LRC

The multiplicative structure of finite field and a construction of LRC IERG6120 Codig for Distributed Storage Systems Lecture 8-06/10/2016 The multiplicative structure of fiite field ad a costructio of LRC Lecturer: Keeth Shum Scribe: Zhouyi Hu Notatios: We use the otatio

More information

Enumerative & Asymptotic Combinatorics

Enumerative & Asymptotic Combinatorics C50 Eumerative & Asymptotic Combiatorics Notes 4 Sprig 2003 Much of the eumerative combiatorics of sets ad fuctios ca be geeralised i a maer which, at first sight, seems a bit umotivated I this chapter,

More information

Some remarks for codes and lattices over imaginary quadratic

Some remarks for codes and lattices over imaginary quadratic Some remarks for codes ad lattices over imagiary quadratic fields Toy Shaska Oaklad Uiversity, Rochester, MI, USA. Caleb Shor Wester New Eglad Uiversity, Sprigfield, MA, USA. shaska@oaklad.edu Abstract

More information

Math 155 (Lecture 3)

Math 155 (Lecture 3) Math 55 (Lecture 3) September 8, I this lecture, we ll cosider the aswer to oe of the most basic coutig problems i combiatorics Questio How may ways are there to choose a -elemet subset of the set {,,,

More information

Symmetrization maps and differential operators. 1. Symmetrization maps

Symmetrization maps and differential operators. 1. Symmetrization maps July 26, 2011 Symmetrizatio maps ad differetial operators Paul Garrett garrett@math.um.edu http://www.math.um.edu/ garrett/ The symmetrizatio map s : Sg Ug is a liear surjectio from the symmetric algebra

More information

Algebra of Least Squares

Algebra of Least Squares October 19, 2018 Algebra of Least Squares Geometry of Least Squares Recall that out data is like a table [Y X] where Y collects observatios o the depedet variable Y ad X collects observatios o the k-dimesioal

More information

Math 475, Problem Set #12: Answers

Math 475, Problem Set #12: Answers Math 475, Problem Set #12: Aswers A. Chapter 8, problem 12, parts (b) ad (d). (b) S # (, 2) = 2 2, sice, from amog the 2 ways of puttig elemets ito 2 distiguishable boxes, exactly 2 of them result i oe

More information

, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx)

, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx) Cosider the differetial equatio y '' k y 0 has particular solutios y1 si( kx) ad y cos( kx) I geeral, ay liear combiatio of y1 ad y, cy 1 1 cy where c1, c is also a solutio to the equatio above The reaso

More information

Week 5-6: The Binomial Coefficients

Week 5-6: The Binomial Coefficients Wee 5-6: The Biomial Coefficiets March 6, 2018 1 Pascal Formula Theorem 11 (Pascal s Formula For itegers ad such that 1, ( ( ( 1 1 + 1 The umbers ( 2 ( 1 2 ( 2 are triagle umbers, that is, The petago umbers

More information

4 The Sperner property.

4 The Sperner property. 4 The Sperer property. I this sectio we cosider a surprisig applicatio of certai adjacecy matrices to some problems i extremal set theory. A importat role will also be played by fiite groups. I geeral,

More information

Square-Congruence Modulo n

Square-Congruence Modulo n Square-Cogruece Modulo Abstract This paper is a ivestigatio of a equivalece relatio o the itegers that was itroduced as a exercise i our Discrete Math class. Part I - Itro Defiitio Two itegers are Square-Cogruet

More information

REGULARIZATION OF CERTAIN DIVERGENT SERIES OF POLYNOMIALS

REGULARIZATION OF CERTAIN DIVERGENT SERIES OF POLYNOMIALS REGULARIZATION OF CERTAIN DIVERGENT SERIES OF POLYNOMIALS LIVIU I. NICOLAESCU ABSTRACT. We ivestigate the geeralized covergece ad sums of series of the form P at P (x, where P R[x], a R,, ad T : R[x] R[x]

More information

Polynomial Functions and Their Graphs

Polynomial Functions and Their Graphs Polyomial Fuctios ad Their Graphs I this sectio we begi the study of fuctios defied by polyomial expressios. Polyomial ad ratioal fuctios are the most commo fuctios used to model data, ad are used extesively

More information

Hochschild homology of finite dimensional algebras

Hochschild homology of finite dimensional algebras Hochschild homology of fiite dimesioal algebras Michelie VIGUÉ-POIRRIER Uiversité Paris-Nord Istitut Galilée Départemet de Mathématiques F-93430 Villetaeuse e-mail : vigue@math.uiv-paris13.fr September

More information

Geometry of LS. LECTURE 3 GEOMETRY OF LS, PROPERTIES OF σ 2, PARTITIONED REGRESSION, GOODNESS OF FIT

Geometry of LS. LECTURE 3 GEOMETRY OF LS, PROPERTIES OF σ 2, PARTITIONED REGRESSION, GOODNESS OF FIT OCTOBER 7, 2016 LECTURE 3 GEOMETRY OF LS, PROPERTIES OF σ 2, PARTITIONED REGRESSION, GOODNESS OF FIT Geometry of LS We ca thik of y ad the colums of X as members of the -dimesioal Euclidea space R Oe ca

More information

Bertrand s Postulate

Bertrand s Postulate Bertrad s Postulate Lola Thompso Ross Program July 3, 2009 Lola Thompso (Ross Program Bertrad s Postulate July 3, 2009 1 / 33 Bertrad s Postulate I ve said it oce ad I ll say it agai: There s always a

More information

ALGEBRAIC GEOMETRY COURSE NOTES, LECTURE 5: SINGULARITIES.

ALGEBRAIC GEOMETRY COURSE NOTES, LECTURE 5: SINGULARITIES. ALGEBRAIC GEOMETRY COURSE NOTES, LECTURE 5: SINGULARITIES. ANDREW SALCH 1. The Jacobia criterio for osigularity. You have probably oticed by ow that some poits o varieties are smooth i a sese somethig

More information

3.1 Counting Principles

3.1 Counting Principles 3.1 Coutig Priciples Goal: Cout the umber of objects i a set. Notatio: Whe S is a set, S deotes the umber of objects i the set. This is also called S s cardiality. Additio Priciple: Whe you wat to cout

More information

Chapter Vectors

Chapter Vectors Chapter 4. Vectors fter readig this chapter you should be able to:. defie a vector. add ad subtract vectors. fid liear combiatios of vectors ad their relatioship to a set of equatios 4. explai what it

More information

1 Last time: similar and diagonalizable matrices

1 Last time: similar and diagonalizable matrices Last time: similar ad diagoalizable matrices Let be a positive iteger Suppose A is a matrix, v R, ad λ R Recall that v a eigevector for A with eigevalue λ if v ad Av λv, or equivaletly if v is a ozero

More information

MATH 205 HOMEWORK #2 OFFICIAL SOLUTION. (f + g)(x) = f(x) + g(x) = f( x) g( x) = (f + g)( x)

MATH 205 HOMEWORK #2 OFFICIAL SOLUTION. (f + g)(x) = f(x) + g(x) = f( x) g( x) = (f + g)( x) MATH 205 HOMEWORK #2 OFFICIAL SOLUTION Problem 2: Do problems 7-9 o page 40 of Hoffma & Kuze. (7) We will prove this by cotradictio. Suppose that W 1 is ot cotaied i W 2 ad W 2 is ot cotaied i W 1. The

More information

Problem Set 2 Solutions

Problem Set 2 Solutions CS271 Radomess & Computatio, Sprig 2018 Problem Set 2 Solutios Poit totals are i the margi; the maximum total umber of poits was 52. 1. Probabilistic method for domiatig sets 6pts Pick a radom subset S

More information

CALCULATION OF FIBONACCI VECTORS

CALCULATION OF FIBONACCI VECTORS CALCULATION OF FIBONACCI VECTORS Stuart D. Aderso Departmet of Physics, Ithaca College 953 Daby Road, Ithaca NY 14850, USA email: saderso@ithaca.edu ad Dai Novak Departmet of Mathematics, Ithaca College

More information

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function.

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function. MATH 532 Measurable Fuctios Dr. Neal, WKU Throughout, let ( X, F, µ) be a measure space ad let (!, F, P ) deote the special case of a probability space. We shall ow begi to study real-valued fuctios defied

More information

Generating Functions. 1 Operations on generating functions

Generating Functions. 1 Operations on generating functions Geeratig Fuctios The geeratig fuctio for a sequece a 0, a,..., a,... is defied to be the power series fx a x. 0 We say that a 0, a,... is the sequece geerated by fx ad a is the coefficiet of x. Example

More information

MATH10212 Linear Algebra B Proof Problems

MATH10212 Linear Algebra B Proof Problems MATH22 Liear Algebra Proof Problems 5 Jue 26 Each problem requests a proof of a simple statemet Problems placed lower i the list may use the results of previous oes Matrices ermiats If a b R the matrix

More information

Math 451: Euclidean and Non-Euclidean Geometry MWF 3pm, Gasson 204 Homework 3 Solutions

Math 451: Euclidean and Non-Euclidean Geometry MWF 3pm, Gasson 204 Homework 3 Solutions Math 451: Euclidea ad No-Euclidea Geometry MWF 3pm, Gasso 204 Homework 3 Solutios Exercises from 1.4 ad 1.5 of the otes: 4.3, 4.10, 4.12, 4.14, 4.15, 5.3, 5.4, 5.5 Exercise 4.3. Explai why Hp, q) = {x

More information

The Random Walk For Dummies

The Random Walk For Dummies The Radom Walk For Dummies Richard A Mote Abstract We look at the priciples goverig the oe-dimesioal discrete radom walk First we review five basic cocepts of probability theory The we cosider the Beroulli

More information

Math 172 Spring 2010 Haiman Notes on ordinary generating functions

Math 172 Spring 2010 Haiman Notes on ordinary generating functions Math 72 Sprig 200 Haima Notes o ordiary geeratig fuctios How do we cout with geeratig fuctios? May eumeratio problems which are ot so easy to hadle by elemetary meas ca be solved usig geeratig fuctios

More information

UNIVERSITY OF NORTHERN COLORADO MATHEMATICS CONTEST. First Round For all Colorado Students Grades 7-12 November 3, 2007

UNIVERSITY OF NORTHERN COLORADO MATHEMATICS CONTEST. First Round For all Colorado Students Grades 7-12 November 3, 2007 UNIVERSITY OF NORTHERN COLORADO MATHEMATICS CONTEST First Roud For all Colorado Studets Grades 7- November, 7 The positive itegers are,,, 4, 5, 6, 7, 8, 9,,,,. The Pythagorea Theorem says that a + b =

More information

Zeros of Polynomials

Zeros of Polynomials Math 160 www.timetodare.com 4.5 4.6 Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered with fidig the solutios of polyomial equatios of ay degree

More information

On Involutions which Preserve Natural Filtration

On Involutions which Preserve Natural Filtration Proceedigs of Istitute of Mathematics of NAS of Ukraie 00, Vol. 43, Part, 490 494 O Ivolutios which Preserve Natural Filtratio Alexader V. STRELETS Istitute of Mathematics of the NAS of Ukraie, 3 Tereshchekivska

More information

arxiv: v1 [math.fa] 3 Apr 2016

arxiv: v1 [math.fa] 3 Apr 2016 Aticommutator Norm Formula for Proectio Operators arxiv:164.699v1 math.fa] 3 Apr 16 Sam Walters Uiversity of Norther British Columbia ABSTRACT. We prove that for ay two proectio operators f, g o Hilbert

More information

CHAPTER I: Vector Spaces

CHAPTER I: Vector Spaces CHAPTER I: Vector Spaces Sectio 1: Itroductio ad Examples This first chapter is largely a review of topics you probably saw i your liear algebra course. So why cover it? (1) Not everyoe remembers everythig

More information

Linear chord diagrams with long chords

Linear chord diagrams with long chords Liear chord diagrams with log chords Everett Sulliva Departmet of Mathematics Dartmouth College Haover New Hampshire, U.S.A. everett..sulliva@dartmouth.edu Submitted: Feb 7, 2017; Accepted: Oct 7, 2017;

More information

(k) x n. n! tk = x a. (i) x p p! ti ) ( q 0. i 0. k A (i) n p

(k) x n. n! tk = x a. (i) x p p! ti ) ( q 0. i 0. k A (i) n p Math 880 Bigraded Classes & Stirlig Cycle Numbers Fall 206 Bigraded classes. Followig Flajolet-Sedgewic Ch. III, we defie a bigraded class A to be a set of combiatorial objects a A with two measures of

More information

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) =

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) = AN INTRODUCTION TO SCHRÖDER AND UNKNOWN NUMBERS NICK DUFRESNE Abstract. I this article we will itroduce two types of lattice paths, Schröder paths ad Ukow paths. We will examie differet properties of each,

More information

The picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled

The picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled 1 Lecture : Area Area ad distace traveled Approximatig area by rectagles Summatio The area uder a parabola 1.1 Area ad distace Suppose we have the followig iformatio about the velocity of a particle, how

More information

arxiv: v1 [math.co] 23 Mar 2016

arxiv: v1 [math.co] 23 Mar 2016 The umber of direct-sum decompositios of a fiite vector space arxiv:603.0769v [math.co] 23 Mar 206 David Ellerma Uiversity of Califoria at Riverside August 3, 208 Abstract The theory of q-aalogs develops

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

RADICAL EXPRESSION. If a and x are real numbers and n is a positive integer, then x is an. n th root theorems: Example 1 Simplify

RADICAL EXPRESSION. If a and x are real numbers and n is a positive integer, then x is an. n th root theorems: Example 1 Simplify Example 1 Simplify 1.2A Radical Operatios a) 4 2 b) 16 1 2 c) 16 d) 2 e) 8 1 f) 8 What is the relatioship betwee a, b, c? What is the relatioship betwee d, e, f? If x = a, the x = = th root theorems: RADICAL

More information

THE N-POINT FUNCTIONS FOR INTERSECTION NUMBERS ON MODULI SPACES OF CURVES

THE N-POINT FUNCTIONS FOR INTERSECTION NUMBERS ON MODULI SPACES OF CURVES THE N-POINT FUNTIONS FOR INTERSETION NUMBERS ON MODULI SPAES OF URVES KEFENG LIU AND HAO XU Abstract. We derive from Witte s KdV equatio a simple formula of the -poit fuctios for itersectio umbers o moduli

More information

On Casimir Elements of q-algebras U q (so n) and Their Eigenvalues in Representations

On Casimir Elements of q-algebras U q (so n) and Their Eigenvalues in Representations Proceedigs of Istitute of Mathematics of NAS of Ukraie 2000, Vol. 30, Part 2, 310 314. O Casimir Elemets of q-algebras U q so ad Their Eigevalues i Represetatios A.M. GAVRILIK ad N.Z. IORGOV Bogolyubov

More information

Polynomials with Rational Roots that Differ by a Non-zero Constant. Generalities

Polynomials with Rational Roots that Differ by a Non-zero Constant. Generalities Polyomials with Ratioal Roots that Differ by a No-zero Costat Philip Gibbs The problem of fidig two polyomials P(x) ad Q(x) of a give degree i a sigle variable x that have all ratioal roots ad differ by

More information

Beurling Integers: Part 2

Beurling Integers: Part 2 Beurlig Itegers: Part 2 Isomorphisms Devi Platt July 11, 2015 1 Prime Factorizatio Sequeces I the last article we itroduced the Beurlig geeralized itegers, which ca be represeted as a sequece of real umbers

More information

Math 4400/6400 Homework #7 solutions

Math 4400/6400 Homework #7 solutions MATH 4400 problems. Math 4400/6400 Homewor #7 solutios 1. Let p be a prime umber. Show that the order of 1 + p modulo p 2 is exactly p. Hit: Expad (1 + p) p by the biomial theorem, ad recall from MATH

More information

PAPER : IIT-JAM 2010

PAPER : IIT-JAM 2010 MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure

More information

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece 1, 1, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet

More information

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3 MATH 337 Sequeces Dr. Neal, WKU Let X be a metric space with distace fuctio d. We shall defie the geeral cocept of sequece ad limit i a metric space, the apply the results i particular to some special

More information

Course : Algebraic Combinatorics

Course : Algebraic Combinatorics Course 18.312: Algebraic Combiatorics Lecture Notes # 18-19 Addedum by Gregg Musier March 18th - 20th, 2009 The followig material ca be foud i a umber of sources, icludig Sectios 7.3 7.5, 7.7, 7.10 7.11,

More information

Lecture 4: Grassmannians, Finite and Affine Morphisms

Lecture 4: Grassmannians, Finite and Affine Morphisms 18.725 Algebraic Geometry I Lecture 4 Lecture 4: Grassmaias, Fiite ad Affie Morphisms Remarks o last time 1. Last time, we proved the Noether ormalizatio lemma: If A is a fiitely geerated k-algebra, the,

More information

Unit 4: Polynomial and Rational Functions

Unit 4: Polynomial and Rational Functions 48 Uit 4: Polyomial ad Ratioal Fuctios Polyomial Fuctios A polyomial fuctio y px ( ) is a fuctio of the form p( x) ax + a x + a x +... + ax + ax+ a 1 1 1 0 where a, a 1,..., a, a1, a0are real costats ad

More information

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j.

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j. Eigevalue-Eigevector Istructor: Nam Su Wag eigemcd Ay vector i real Euclidea space of dimesio ca be uiquely epressed as a liear combiatio of liearly idepedet vectors (ie, basis) g j, j,,, α g α g α g α

More information

6.003 Homework #3 Solutions

6.003 Homework #3 Solutions 6.00 Homework # Solutios Problems. Complex umbers a. Evaluate the real ad imagiary parts of j j. π/ Real part = Imagiary part = 0 e Euler s formula says that j = e jπ/, so jπ/ j π/ j j = e = e. Thus the

More information

1 Generating functions for balls in boxes

1 Generating functions for balls in boxes Math 566 Fall 05 Some otes o geeratig fuctios Give a sequece a 0, a, a,..., a,..., a geeratig fuctio some way of represetig the sequece as a fuctio. There are may ways to do this, with the most commo ways

More information

Algebraic Geometry I

Algebraic Geometry I 6.859/15.083 Iteger Programmig ad Combiatorial Optimizatio Fall 2009 Lecture 14: Algebraic Geometry I Today... 0/1-iteger programmig ad systems of polyomial equatios The divisio algorithm for polyomials

More information

Properties and Tests of Zeros of Polynomial Functions

Properties and Tests of Zeros of Polynomial Functions Properties ad Tests of Zeros of Polyomial Fuctios The Remaider ad Factor Theorems: Sythetic divisio ca be used to fid the values of polyomials i a sometimes easier way tha substitutio. This is show by

More information

Linear Regression Demystified

Linear Regression Demystified Liear Regressio Demystified Liear regressio is a importat subject i statistics. I elemetary statistics courses, formulae related to liear regressio are ofte stated without derivatio. This ote iteds to

More information

Chain conditions. 1. Artinian and noetherian modules. ALGBOOK CHAINS 1.1

Chain conditions. 1. Artinian and noetherian modules. ALGBOOK CHAINS 1.1 CHAINS 1.1 Chai coditios 1. Artiia ad oetheria modules. (1.1) Defiitio. Let A be a rig ad M a A-module. The module M is oetheria if every ascedig chai!!m 1 M 2 of submodules M of M is stable, that is,

More information

CALCULUS BASIC SUMMER REVIEW

CALCULUS BASIC SUMMER REVIEW CALCULUS BASIC SUMMER REVIEW NAME rise y y y Slope of a o vertical lie: m ru Poit Slope Equatio: y y m( ) The slope is m ad a poit o your lie is, ). ( y Slope-Itercept Equatio: y m b slope= m y-itercept=

More information

On Random Line Segments in the Unit Square

On Random Line Segments in the Unit Square O Radom Lie Segmets i the Uit Square Thomas A. Courtade Departmet of Electrical Egieerig Uiversity of Califoria Los Ageles, Califoria 90095 Email: tacourta@ee.ucla.edu I. INTRODUCTION Let Q = [0, 1] [0,

More information

1 Elliptic Curves Over Finite Fields

1 Elliptic Curves Over Finite Fields 1 Elliptic Curves Over Fiite Fields 1.1 Itroductio Defiitio 1.1. Elliptic curves ca be defied over ay field K; the formal defiitio of a elliptic curve is a osigular (o cusps, self-itersectios, or isolated

More information

(6), (7) and (8) we have easily, if the C's are cancellable elements of S,

(6), (7) and (8) we have easily, if the C's are cancellable elements of S, VIOL. 23, 1937 MA THEMA TICS: H. S. VANDIVER 555 where the a's belog to S'. The R is said to be a repetitive set i S, with respect to S', ad with multiplier M. If S cotais a idetity E, the if we set a,

More information

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4.

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4. 4. BASES I BAACH SPACES 39 4. BASES I BAACH SPACES Sice a Baach space X is a vector space, it must possess a Hamel, or vector space, basis, i.e., a subset {x γ } γ Γ whose fiite liear spa is all of X ad

More information

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would

More information

and each factor on the right is clearly greater than 1. which is a contradiction, so n must be prime.

and each factor on the right is clearly greater than 1. which is a contradiction, so n must be prime. MATH 324 Summer 200 Elemetary Number Theory Solutios to Assigmet 2 Due: Wedesday July 2, 200 Questio [p 74 #6] Show that o iteger of the form 3 + is a prime, other tha 2 = 3 + Solutio: If 3 + is a prime,

More information

5 Birkhoff s Ergodic Theorem

5 Birkhoff s Ergodic Theorem 5 Birkhoff s Ergodic Theorem Amog the most useful of the various geeralizatios of KolmogorovâĂŹs strog law of large umbers are the ergodic theorems of Birkhoff ad Kigma, which exted the validity of the

More information

Chapter 2. Periodic points of toral. automorphisms. 2.1 General introduction

Chapter 2. Periodic points of toral. automorphisms. 2.1 General introduction Chapter 2 Periodic poits of toral automorphisms 2.1 Geeral itroductio The automorphisms of the two-dimesioal torus are rich mathematical objects possessig iterestig geometric, algebraic, topological ad

More information

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece,, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet as

More information

Definitions and Theorems. where x are the decision variables. c, b, and a are constant coefficients.

Definitions and Theorems. where x are the decision variables. c, b, and a are constant coefficients. Defiitios ad Theorems Remember the scalar form of the liear programmig problem, Miimize, Subject to, f(x) = c i x i a 1i x i = b 1 a mi x i = b m x i 0 i = 1,2,, where x are the decisio variables. c, b,

More information

b i u x i U a i j u x i u x j

b i u x i U a i j u x i u x j M ath 5 2 7 Fall 2 0 0 9 L ecture 1 9 N ov. 1 6, 2 0 0 9 ) S ecod- Order Elliptic Equatios: Weak S olutios 1. Defiitios. I this ad the followig two lectures we will study the boudary value problem Here

More information

The Structure of Z p when p is Prime

The Structure of Z p when p is Prime LECTURE 13 The Structure of Z p whe p is Prime Theorem 131 If p > 1 is a iteger, the the followig properties are equivalet (1) p is prime (2) For ay [0] p i Z p, the equatio X = [1] p has a solutio i Z

More information

Math 2112 Solutions Assignment 5

Math 2112 Solutions Assignment 5 Math 2112 Solutios Assigmet 5 5.1.1 Idicate which of the followig relatioships are true ad which are false: a. Z Q b. R Q c. Q Z d. Z Z Z e. Q R Q f. Q Z Q g. Z R Z h. Z Q Z a. True. Every positive iteger

More information

Random Matrices with Blocks of Intermediate Scale Strongly Correlated Band Matrices

Random Matrices with Blocks of Intermediate Scale Strongly Correlated Band Matrices Radom Matrices with Blocks of Itermediate Scale Strogly Correlated Bad Matrices Jiayi Tog Advisor: Dr. Todd Kemp May 30, 07 Departmet of Mathematics Uiversity of Califoria, Sa Diego Cotets Itroductio Notatio

More information

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would

More information

Chapter 6 Infinite Series

Chapter 6 Infinite Series Chapter 6 Ifiite Series I the previous chapter we cosidered itegrals which were improper i the sese that the iterval of itegratio was ubouded. I this chapter we are goig to discuss a topic which is somewhat

More information

Math 61CM - Solutions to homework 3

Math 61CM - Solutions to homework 3 Math 6CM - Solutios to homework 3 Cédric De Groote October 2 th, 208 Problem : Let F be a field, m 0 a fixed oegative iteger ad let V = {a 0 + a x + + a m x m a 0,, a m F} be the vector space cosistig

More information

LONG SNAKES IN POWERS OF THE COMPLETE GRAPH WITH AN ODD NUMBER OF VERTICES

LONG SNAKES IN POWERS OF THE COMPLETE GRAPH WITH AN ODD NUMBER OF VERTICES J Lodo Math Soc (2 50, (1994, 465 476 LONG SNAKES IN POWERS OF THE COMPLETE GRAPH WITH AN ODD NUMBER OF VERTICES Jerzy Wojciechowski Abstract I [5] Abbott ad Katchalski ask if there exists a costat c >

More information

A brief introduction to linear algebra

A brief introduction to linear algebra CHAPTER 6 A brief itroductio to liear algebra 1. Vector spaces ad liear maps I what follows, fix K 2{Q, R, C}. More geerally, K ca be ay field. 1.1. Vector spaces. Motivated by our ituitio of addig ad

More information

TEACHER CERTIFICATION STUDY GUIDE

TEACHER CERTIFICATION STUDY GUIDE COMPETENCY 1. ALGEBRA SKILL 1.1 1.1a. ALGEBRAIC STRUCTURES Kow why the real ad complex umbers are each a field, ad that particular rigs are ot fields (e.g., itegers, polyomial rigs, matrix rigs) Algebra

More information

Roger Apéry's proof that zeta(3) is irrational

Roger Apéry's proof that zeta(3) is irrational Cliff Bott cliffbott@hotmail.com 11 October 2011 Roger Apéry's proof that zeta(3) is irratioal Roger Apéry developed a method for searchig for cotiued fractio represetatios of umbers that have a form such

More information

Some examples of vector spaces

Some examples of vector spaces Roberto s Notes o Liear Algebra Chapter 11: Vector spaces Sectio 2 Some examples of vector spaces What you eed to kow already: The te axioms eeded to idetify a vector space. What you ca lear here: Some

More information

Lecture 19. sup y 1,..., yn B d n

Lecture 19. sup y 1,..., yn B d n STAT 06A: Polyomials of adom Variables Lecture date: Nov Lecture 19 Grothedieck s Iequality Scribe: Be Hough The scribes are based o a guest lecture by ya O Doell. I this lecture we prove Grothedieck s

More information

FROM DAHA TO EHA ANDREI NEGUȚ

FROM DAHA TO EHA ANDREI NEGUȚ FROM DAHA TO EHA ANDREI NEGUȚ 1. Goals The mai purpose of this talk is two coect the two halves of our semiar. Specifically, we will follow the outlie below: Cosider the spherical double affie Hecke algebra

More information

Introduction To Discrete Mathematics

Introduction To Discrete Mathematics Itroductio To Discrete Mathematics Review If you put + pigeos i pigeoholes the at least oe hole would have more tha oe pigeo. If (r + objects are put ito boxes, the at least oe of the boxes cotais r or

More information

A Note on Matrix Rigidity

A Note on Matrix Rigidity A Note o Matrix Rigidity Joel Friedma Departmet of Computer Sciece Priceto Uiversity Priceto, NJ 08544 Jue 25, 1990 Revised October 25, 1991 Abstract I this paper we give a explicit costructio of matrices

More information

11. FINITE FIELDS. Example 1: The following tables define addition and multiplication for a field of order 4.

11. FINITE FIELDS. Example 1: The following tables define addition and multiplication for a field of order 4. 11. FINITE FIELDS 11.1. A Field With 4 Elemets Probably the oly fiite fields which you ll kow about at this stage are the fields of itegers modulo a prime p, deoted by Z p. But there are others. Now although

More information

Machine Learning Theory Tübingen University, WS 2016/2017 Lecture 11

Machine Learning Theory Tübingen University, WS 2016/2017 Lecture 11 Machie Learig Theory Tübige Uiversity, WS 06/07 Lecture Tolstikhi Ilya Abstract We will itroduce the otio of reproducig kerels ad associated Reproducig Kerel Hilbert Spaces (RKHS). We will cosider couple

More information

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering

CEE 522 Autumn Uncertainty Concepts for Geotechnical Engineering CEE 5 Autum 005 Ucertaity Cocepts for Geotechical Egieerig Basic Termiology Set A set is a collectio of (mutually exclusive) objects or evets. The sample space is the (collectively exhaustive) collectio

More information

SEMIGROUPS OF VALUATIONS DOMINATING LOCAL DOMAINS

SEMIGROUPS OF VALUATIONS DOMINATING LOCAL DOMAINS SEMIGROUPS OF VALUATIONS DOMINATING LOCAL DOMAINS STEVEN DALE CUTKOSKY Let (R, m R ) be a equicharacteristic local domai, with quotiet field K. Suppose that ν is a valuatio of K with valuatio rig (V, m

More information

On a Smarandache problem concerning the prime gaps

On a Smarandache problem concerning the prime gaps O a Smaradache problem cocerig the prime gaps Felice Russo Via A. Ifate 7 6705 Avezzao (Aq) Italy felice.russo@katamail.com Abstract I this paper, a problem posed i [] by Smaradache cocerig the prime gaps

More information

Chapter 1 : Combinatorial Analysis

Chapter 1 : Combinatorial Analysis STAT/MATH 394 A - PROBABILITY I UW Autum Quarter 205 Néhémy Lim Chapter : Combiatorial Aalysis A major brach of combiatorial aalysis called eumerative combiatorics cosists of studyig methods for coutig

More information

Addition: Property Name Property Description Examples. a+b = b+a. a+(b+c) = (a+b)+c

Addition: Property Name Property Description Examples. a+b = b+a. a+(b+c) = (a+b)+c Notes for March 31 Fields: A field is a set of umbers with two (biary) operatios (usually called additio [+] ad multiplicatio [ ]) such that the followig properties hold: Additio: Name Descriptio Commutativity

More information

Resolution Proofs of Generalized Pigeonhole Principles

Resolution Proofs of Generalized Pigeonhole Principles Resolutio Proofs of Geeralized Pigeohole Priciples Samuel R. Buss Departmet of Mathematics Uiversity of Califoria, Berkeley Győrgy Turá Departmet of Mathematics, Statistics, ad Computer Sciece Uiversity

More information

+ au n+1 + bu n = 0.)

+ au n+1 + bu n = 0.) Lecture 6 Recurreces - kth order: u +k + a u +k +... a k u k 0 where a... a k are give costats, u 0... u k are startig coditios. (Simple case: u + au + + bu 0.) How to solve explicitly - first, write characteristic

More information

Polynomial identity testing and global minimum cut

Polynomial identity testing and global minimum cut CHAPTER 6 Polyomial idetity testig ad global miimum cut I this lecture we will cosider two further problems that ca be solved usig probabilistic algorithms. I the first half, we will cosider the problem

More information

On the Linear Complexity of Feedback Registers

On the Linear Complexity of Feedback Registers O the Liear Complexity of Feedback Registers A. H. Cha M. Goresky A. Klapper Northeaster Uiversity Abstract I this paper, we study sequeces geerated by arbitrary feedback registers (ot ecessarily feedback

More information

Matrix Algebra from a Statistician s Perspective BIOS 524/ Scalar multiple: ka

Matrix Algebra from a Statistician s Perspective BIOS 524/ Scalar multiple: ka Matrix Algebra from a Statisticia s Perspective BIOS 524/546. Matrices... Basic Termiology a a A = ( aij ) deotes a m matrix of values. Whe =, this is a am a m colum vector. Whe m= this is a row vector..2.

More information