On Arithmetic Structures in Dense Sets of Integers 1. Ben Green 2

Size: px
Start display at page:

Download "On Arithmetic Structures in Dense Sets of Integers 1. Ben Green 2"

Transcription

1 On Aithmetic Stuctues in Dense Sets of Integes 1 Ben Geen 2 Abstact We ove that if A {1,..., N} has density at least log log N) c, whee c is an absolute constant, then A contains a tile a, a + d, a + 2d) with d = x 2 + y 2 fo some integes x, y, not both zeo. We combine methods of Gowes and Sákőzy with an alication of Selbeg s Sieve. The esult may be egaded as a ste towads establishing a fully quantitative vesion of the olynomial Szemeédi Theoem of Begelson and Leibman. 1. Intoduction. If one believes that mathematics is the study of attens then it is of no suise that the following esult of Szemeédi [16] is often egaded as one of the highlights of all combinatoics. Theoem 1 Szemeédi) Let α > 0 be a eal numbe and let k be a ositive intege. Then thee is N 0 = N 0 k, α) such that any subset A {1,..., N} of size at least αn contains an aithmetic ogession of length k, ovided that N N 0 k, α). Szemeédi s oof was long and combinatoial but just two yeas late Fustenbug ovided a comletely diffeent oof of Theoem 1 using egodic theoy. Fustenbug s methods have oved extemely amenable to genealisation, and Fustenbug himself oved the following esult. Theoem 2 Fix α > 0 and let A {1,..., N} have size αn. Then ovided N > N 1 α) is sufficiently lage one can find two distinct elements x, x A whose diffeence x x is a efect squae. As with all such alications of egodic theoy Fustenbug s aoach gave no bound on N 1 α). At about the same time Sákőzy [12] oved the same esult in a comletely diffeent manne. Sákőzy s agument took insiation fom a much ealie ae of Roth [10] in which Szemeédi s Theoem was oved fo ogessions of length 3. The method used is analytic in siit and does lead to an effective bound on N 1 α), albeit one which is a geat distance fom the conjectued tuth. The ae [12] was the fist in a seies of thee, and in the final ae [13] of this seies an analytic oof of a genealisation of Theoem 2 was outlined. This genealisation says that the squaes may, in the fomulation of that theoem, be elaced by the set {d) : d N} whee is any olynomial which mas N to itself and has an intege oot. To see that some 1 Mathematics Subject Classification MSC): 11B25 05D10, 11N36). 2 The autho is suoted by an EPSRC eseach gant, and has also enjoyed the hositality of Pinceton Univesity fo some of the eiod duing which this wok was caied out. 1

2 estiction on the olynomial is necessay fo such a esult to hold, we invite the eade to constuct a set with density 1 3 containing no diffeence of the fom x Since the late 1970s thee have been seveal significant advances in ou undestanding of these and elated questions. Fistly we mention the esult of Begelson and Leibman fom 1996 [1], which is an examle of how fa Fustenbug s egodic-theoetic methods have been able to take us. Theoem 3 Begelson-Leibman) Fix α > 0 and let A {1,..., N} have size αn. Let 1,..., be olynomials with N) N and 0) = 0. Then ovided N > N 2 α) is lage enough exactly how lage will deend on the olynomials i as well as on α) we can find a, d N fo which all of the numbes a + i d) lie in A. This extends both Theoem 1 and Theoem 2 and imlies, amongst othe things, that dense subsets of the integes contain abitaily long aithmetic ogessions whose common diffeence is a non-zeo squae. Secondly thee is a esult of Gowes [4], which gives the fist bounds fo Szemeédi s Theoem. Theoem 4 Gowes) Let k > 0 be an intege. Then thee is an effectively comutable constant ck) such that any subset of {1,..., N} of density at least log log N) ck) contains a k-tem aithmetic ogession. Gowes agument takes insiation fom Roth s ae [10]. As we have aleady emaked, Sákőzy s methods also bea some esemblance to those of Roth. It is theefoe natual to ask whethe Gowes techniques can be adated to give bounds fo questions elated to the olynomial Szemeédi Theoem. In 3 we give a new vaiant on Sákőzy s oof of Theoem 2 which we believe to be substantially easie to undestand than the oiginal though it gives a wose bound fo N 1 α)). Pehas moe imotantly we demonstate that this agument can be made to fit almost entiely into the geneal methodology of [4], which we shall outline below. It should be ointed out that in 1985 Sinivasan [15] gave a still diffeent agument which seems to be athe simle than that of Sákőzy, but moe comlex than the one we shall give hee. The est of the ae is devoted to a oof of the following esult. Theoem 5 Thee is a constant c such that any subset of {1,..., N} of density at least log log N) c contains a 3-tem aithmetic ogession whose common diffeence is ositive and of the fom x 2 + y 2. The oof of this esult involves finding a mutual genealisation of the methods of Gowes and Sákőzy, togethe with a slightly suising use of the Selbeg Sieve. The eade will find it had to undestand this section unless she has a woking knowledge of the methods of Gowes, such as can be obtained by eading [3] o, even bette, ats of [4]. 2

3 It would be a sizeable undetaking to summaise those aes in any detail hee, and indeed thee seems little oint in doing so. What we will do is offe a cude outline of the to-level stuctue of Gowes oof of Szemeédi s Theoem. All ou aguments in this ae will have this boad stuctue at thei heat. Suose then that we have a set A {1,..., N} of size δn which contains no aithmetic ogession of length k. Set A 0 = A, δ 0 = δ and N 0 = N. At the ith stage of ou agument we will have a set A i {1,..., N i } with density δ i which contains no aithmetic ogession of length k. The fact that A i contains no ogessions of length k imlies that A i is non-andom in a cetain athe ecise sense involving cetain Fouie coefficients being lage. This means that A i does not satisfy a oety which is ossessed by almost all sets of density δ i. In Gowes oof this oety is known as k 2)-unifomity. If a set is not k 2)-unifom then, by a long and comlicated agument, it is ossible to show that A i has density at least δ i + ηδ i ) on a faily long ogession P, whee η is an inceasing function of δ i. Define A i+1 to be A i P and escale so that P has common diffeence 1. Set δ i+1 = δ i + ηδ i ) and N i+1 = P. Iteating this agument leads to an effective vesion of Szemeédi s Theoem since afte a finite numbe of stes the density δ i will exceed 1, a contadiction. 2. Notation and Basic Concets. We shall make substantial use of Fouie analysis on finite cyclic gous, so we would like to take this ootunity to give the eade a swift intoduction. If nothing else this will seve to claify notation. Let N be a fixed ositive intege, and wite Z N fo the cyclic gou with N elements. Let ω denote the comlex numbe e 2πi/N. Although ω clealy deends on N, we shall not indicate this deendence in the est of the ae, tusting that the value of N is clea fom context. Let f : Z N C be any function. Then fo Z N we define the Fouie tansfom ˆf) = fx)ω x. x Z N We shall eeatedly use two imotant oeties of the Fouie tansfom. The fist is Paseval s identity, which states that if f : Z N C and g : Z N C ae two functions then N fx)gx) = ˆf)ĝ). x Z N 3 Z N

4 The second is the inteaction of convolutions with the Fouie tansfom. If f, g : G C ae two functions on an abelian gou G we define the convolution f g)x) = y G fy)gx y). It is easy to check that f g)ˆ) = ˆf)ĝ). One moe iece of notation: we will often use the same lette to denote both a set and its chaacteistic function. It is now ossible to fomally intoduce the concets of unifomity and quadatic unifomity, the only tyes of unifomity that will featue in this ae. These coesond to what we called 1-unifomity and 2-unifomity in ou ealie outline. Let A Z N be a set of size αn and let f = A α be its balanced function. We say that A is η-unifom if ˆf ηn. To define quadatic unifomity we need some exta notation. If f : G C is any function on an abelian gou we wite f; h)x) = fx)fx h). Let f be the balanced function of A. Then A is said to be quadatically η-unifom if f; h)ˆ 2 ηn 3. 1) h These definitions ae vey simila, though not comletely identical, to those in [4]. Fo a detailed discussion of the basic oeties of unifomity and quadatic unifomity the eade should consult [4]. It tuns out that being quadatically unifom is a stonge equiement than being unifom and so knowing a set fails to be quadatically unifom gives less infomation than knowing it fails to be unifom). We will need the following quantitative statement of this fact late on. Poosition 6 If A is quadatically η-unifom then it is η 1/4 -unifom. Poof By 1) we have f; h)ˆ0) 2 ηn 3. Witing this statement out in full gives fa)fb)fc)fd) ηn 3 h a+b=c+d 4

5 which imlies, by Paseval s theoem, that ˆf) 4 ηn 4. It follows immediately that ˆf 4 ηn 4, which imlies the oosition. 3. A Shot Poof of Sákőzy s Theoem fo Squaes. In this section we ove Theoem 2 using an iteative agument of the tye outlined above. Fo obvious easons we say that A has a squae diffeence if thee ae distinct elements x and x in A with x x a squae. Let us ecall Theoem 2. Theoem 2 Fix α > 0 and let A {1,..., N} have size αn. Then ovided N > N 1 α) is sufficiently lage A has a squae diffeence. As the fist at of ou agument we shall show that a set A {1,..., N} with size αn which contains no squae diffeence fails to be η-unifom fo some easonably lage η. In oving this statement we shall use just one fact about the squaes, an elementay oof of which may be found in [8]. Lemma 7 Let 6 n) denote the numbe of odeed sextules a 1,..., a 6 ) with a a 2 6 = n. Then n 2 6 n) 40n 2. In fact we shall have no use fo the lowe bound in the lemma, but have included it to emhasise that 6 is comaable to n 2. Now let S be the set of non-zeo squaes less than N/2, and let B = A [0, N/2]. Regad S, A and B as subsets of Z N. Assume without loss of geneality that B αn/2. If A A contains no squae then cetainly Bx)Ax + d)sd) = 0, x,d whee the sums ae ove Z N. It follows easily fom Paseval s Theoem and the tiangle inequality that Ŝ) ˆB) Â) Ŝ0) ˆB0) Â0) 1 4 α2 N 5/2. 2) 0 The left-hand side hee is at most su Â) 1/6 0 Ŝ) ˆB) Â) 5/6 5

6 which, by Hölde s inequality, is at most su Â) 1/6 0 Ŝ) 12 ) 1/12 ˆB) 2 ) 1/2 Â) 2 ) 5/12. 3) Now by Paseval again) Ŝ) 12 is equal to N x R 6x) 2, whee R 6 x) is the numbe of solutions to a a 2 6 xmodn) with a 2 i 0, N/2]. An easy execise using Lemma 7 shows that R 6 x) 600N 2 fo all x, which gives the bound Ŝ) N 6. 4) Paseval also gives Â) 2 N 2 and ˆB) 2 N 2. Substituting these and 4) into 3) gives that thee is 0 fo which In othe wods, A is non-unifom. Â) 2 30 α 11/2 A. 5) To comlete ou oof of Theoem 2 by the iteation method we ae going to use 5) to show that A has inceased density on a squae-diffeence AP. If we ass to such a subogession and then escale this subogession to have common diffeence 1, the esulting set A will still not contain a squae diffeence. To find a subogession of the desied tye equies a futhe standad fact about the squaes, which is a quantitative vesion of the fact that the squaes ae a Heilbonn Set see [7]). As noted in [4] it is athe difficult to find a ecise statement of this esult in the liteatue. Fotunately howeve we can use Lemma 5.5 of [4] to simly wite down the next lemma. Lemma 8 Let a Z N, let t N, and suose that t Then thee is t such that 2 a t 1/16 N. Now let be such that Â) is lage. Put t = N 1/4 in Lemma 8 and let N 1/4 be such that 2 N 127/128. Let B be the aithmetic ogession 2, 2 2,..., L 2 whee L = 1 N 1/ One calculates ˆB) ) L su 1 1 ω 2 x x=1,...,l ) L 1 2π 2 L N L/2. Fom this and the fact that Â) 2 30 α 11/2 A we get that N x A B + x) 2 = Â) 2 ˆB) α 11) A 2 L 2. 6) 6

7 Now cetain of the tanslates B +x have the athe unfotunate oety of slitting into two smalle ogessions when we unavel Z N to ecove {1,..., N}. We shall call these values of x bad, and denote the set of good values by G. Now N 1/4 and so B has diamete less than N 2/3. It follows that thee ae at most N 2/3 bad values of x, and so thei total contibution to N x A B + x) 2 does not exceed L 2 N 5/3. Assuming that α 32N 1/39 which it cetainly will be) one sees fom 6) that N x G A B + x) α 11) A 2 L 2. The left hand side hee is at most N su A B + x) A L, x G fom which we deduce that thee is x G fo which A B + x) α α 12) B. We have deduced, fom the assumtion that A A does not contain a squae and that N , that A has density at least α α 12 on a subogession with length at least 1 20 N 1/128 and squae common diffeence. Iteating this agument leads to the following esult. Poosition 9 Thee is a constant C such that, if A is a subset of {1,..., N} with density at least Clog log N) 1/11, then A contains two elements a, a with a a a non-zeo squae. In ode to ove Sákőzy s esult in the simlest ossible manne we have not woied too much about sacificing the quality of the bound obtained. Thee is a vaiation of the above agument in which one shows that A is what I call aithmetically non-unifom, which means that some Â) is lage with aoximately equal to a ational with small denominato. This allows one to efom the iteation moe efficiently, and doing this gives a bound of fom log N) c in Poosition 9. I intend to discuss this and elated mattes in a futue c log log log log N ae. The cuent best known bound of log N) fo this oblem is due to Pintz, Steige and Szemeédi [9] and makes use of some athe involved Fouie aguments. Thee is still a massive ga in ou knowledge, and I cannot esist closing this section with the following oen oblem. Poblem 10 Let ɛ > 0 and let N > N 0 ɛ) be sufficiently lage. Does thee exist a set A {1,..., N} with A N 1 ɛ, such that A does not contain two elements that diffe by a squae? The best that is known is that one can take ɛ = 0.267, a esult due to Ruzsa [11]. 4. APs with Common Diffeence x 2 + y 2. In this section we tun ou attentions to the 7

8 main business of this ae, a oof of Theoem 5. Theoem 5 Thee is a constant c such that any subset of {1,..., N} of density at least log log N) c contains a 3-tem aithmetic ogession whose common diffeence is non-zeo and of the fom x 2 + y 2. Ou oof of Theoem 5 will be by the iteation method, and as such will fall into two ats. In the fist at, containing most of ou oiginal wok on the oblem, we show that a quadatically unifom set contains oughly the exected numbe of ogessions a, a + d, a + 2d) with d = x 2 + y 2. The second at of the oof follows [4] extemely closely. Ou objective thee is to show that a set which fails to be quadatically unifom has inceased density on a long subogession with squae common diffeence. We shall stat ou teatment in quite a geneal setting. Let D be a subset of N, and fo N N egad D N = D {1,..., N} as a subset of Z N in the natual way. Suose that fo some k N we have ˆD N ) 2k C D N 2k and D 2N C D N, whee C is indeendent of N. Then we shall say that D is unifomly k-dense. The obvious non-tivial examle in view of ou ealie discussions is the set S of squaes, which is unifomly 6-dense by 4). Ou nomenclatue is non-standad, but quite convenient. Much of ou late wok deends on anothe instance of this henomenon. Poosition 11 The set E of imes of fom 4k + 1 is unifomly 2-dense. We will ove this oosition in a numbe of stages. We begin with a bief esumé of the esults fom Sieve Theoy we will need both hee and late on. The standad efeence fo this subject is [6] but in ou unbiased oinion a good way to undestand the necessay backgound is to ead [5], which has been secially udated fo this uose. We will only be concened with sieving olynomial sequences, which is the simlest situation coveed by the Selbeg Sieve. Let h be a olynomial with intege coefficients, and let A denote the sequence {h1),..., hn)}. Let P denote the set of imes. Then the Selbeg Sieve gives ue bounds fo SA, P, z), which is defined to be the numbe of x A which ae not divisible by any ime z. This ue bound is given in tems of a function ω defined at imes to be the numbe of elements in {h1),..., h)} which ae divisible by. To ut it anothe way, the ootion of elements of A which ae divisible by is oughly ω)/. The key esult we shall equie is the following, which is Theoem 11 in [5] we should also note that it can be ead out of [6]). 8

9 Theoem 12 Suose that ω) C fo all imes. Then SA, P, N 1/16C ) N 1 ω) ), whee the imlied constant deends only on C. N 1/16C Poosition 13 Let n N. Then the numbe of eesentations of n as the sum of two elements of E, 2 E, n) satisfies 2 E, n) n ). log n) 2 Poof Clealy 2 E, n) 2 P, n). Conside the olynomial hx) = xn x) and let A = {h1),..., hn)}. We wish to count the numbe of x n fo which x and n x ae both ime. Fo such x we eithe have x n 1/2, x n n 1/2 o else hx) has no ime facto less than n 1/2. It follows that 2 P, n) is bounded above by 2n 1/2 + SA, P, n 1/2 ). It is easy to see that, in the notation of ou otted intoduction to sieve theoy, one has ω) = 2 fo all excet when n, in which case ω) = 1. Thus by Theoem 12 one has 2 E, n) n 1/2 + n 1 2 ) 1 2 ) ). 7) n 1/32 n n 1/32 n Now ecall that ) 1 m 1 1 log m and that Amed with these two facts one sees fom 7) that 2 E, n) n log n) 2 n 1 λ 2 ) ) conveges fo any eal λ. as claimed. This is of couse a vey standad deduction fom the Selbeg Sieve, but we have included it to ensue that the eade is hay with ou notation. It tuns out to be extemely convenient to wite ξn) fo the quantity ) n aeaing hee. In a shot while we will use Poosition 13 to show that E is unifomly 2-dense. Befoe doing this howeve it is necessay to give a cude estimate fo the moments u N ξu)s of ξ. Lemma 14 Let s 1 be eal. Then u N ξu) s 2 2s22s N. 9

10 Poof Fist obseve that fo any x 1 one has 1 + x) s s x. Secondly, if 1,..., ae distinct imes then fo any C one has i=1 C = C i i i C 2 C C 1 C2 C C2 i i i >C 2 i >C 2 i=1 1 i. Thus ξu) s = ) s u N u N u N u u ) 1 + 2s 2 s22s u N d u 1 d, which is at most 2 s22s N d N d 3/2. This imlies the esult. Poof of Poosition 11 Regad E N = E {1,..., N} as a subset of Z N, as we must do to even make sense of what it means to be unifomly 2-dense. It is easy to see that ÊN) 4 = N Ea)Eb)Ec)Ed), a+b=c+d whee the equation a + b = c + d is taken in Z N. This is clealy at most N n N 2 E, n) + 2 E, N + n)) 2, which by Poosition 13 is at most a constant times N 3 log N) 4 n N ξn) + ξn + n)) 2. The sum, by the Cauchy-Schwaz inequality, is at most 4 n 2N ξn)2, a quantity which we know to be ON) by Lemma 14. Thus ÊN) 4 ) 4 N. log N Since E N N/2 log N it follows that E is indeed unifomly 2-dense. If A {1,..., N} is a set of density α then we wite f = A α fo its balanced function. Wite B = A {1,..., N/3}, let β be the density of B and let g = B β be its balanced function. Finally if D is any set then we say that an aithmetic ogession x, x + d, x + 2d) with d D is a D-ogession. 10

11 Poosition 15 Suose that A does not contain a D-ogession, whee D is unifomly k-dense. Then eithe su Â) α2k N 8) 0 o else we have gx)fx + d)fx + 2d) α 3 N U. 9) x d U whee the sum is ove Z N and U = D {1,..., N/3}. Poof To begin with we show that the conclusion holds with oom to sae if β is much smalle than exected. Suose that β α/12, and let I be the chaacteistic function of { N/12,..., N/12} Z N. Then 6 N Ax)I I)x + N/6) βn αn/12. x Taking Fouie tansfoms gives ω N/6 Â) Î) 2 αn 3 /72, which imlies by the tiangle inequality that Â) Î) 2 αn 3 /72. 0 Howeve Paseval s identity gives Î) 2 = N 2 /6, fom which it follows immediately that su Â) αn/12. 0 Assume now that β α/12. It is easy to see that thee is no modula ogession of fom x, x + d, x + 2d), d U, in B A A, and so we have Bx)Ax + d)ax + 2d) = 0. x Z N d U Witing A = f + α and B = g + β we may exand this as a sum of eight tems. Of these we have a tem T = x d U gx)fx + d)fx + 2d), a tem α2 βn U and thee tems which ae identically zeo. If T α 2 βn U /4 then we ae done. Failing this the tiangle inequality imlies that one of the othe thee tems must be at least α 2 βn U /4, which in tun is not less than α 3 N U /48. These othe thee tems ae vey simila to one anothe, and bushing a little wok unde the caet we suose without loss of geneality that α gx)fx + d) α 3 N U /48. 10) x d U 11

12 The LHS may be witten in tems of Fouie coefficients as αn 1 ĝ) ˆf )Û). This sum may be estimated using Hölde s Inequality exactly as in 3. It is at most αn 1 su ˆf) 1/k ) 1/2k ) 1/2 Û) 2k ĝ) 2 ) ˆf) k 1)/2k 2 11) To deal with this obseve that since D is unifomly k-dense we have Û) 2k = N Ua 1 )... Ua k )Ub 1 )... Ub k ) a 1 + +a k =b 1 + +b k N D N a 1 )... D N a k )D N b 1 )... D N b k ) a 1 + +a k =b 1 + +b k = ˆD N ) 2k D N 2k U 2k. Using Paseval s identity on the othe two factos in 11) we can bound that exession above by a constant multile of su ˆf) 1/k N 1 1/k U. It follows fom 10) that su ˆf) α 2k N, and we ae done. Suose now that we have a set A {1,..., N} with density α which contains no D- ogessions, whee D is the set of sums of two squaes. A classical numbe-theoetic fact allows us to make the key obsevation of this ae, namely that A does not contain any E ogessions whee E, as befoe, is the set of imes of the fom 4k + 1). Using Poositions 11 and 15, we have the following. Poosition 16 Let A {1,..., N} have density α, and suose that A does not contain a tile a, a + d, a + 2d) with d = x 2 + y 2. Then eithe o whee V = E {1,..., N/3}. su Â) α4 N 12) 0 gx)fx + d)fx + 2d) α3 N 2 x d V log N. 13) 12

13 If 12) holds then futhe ogess is comaitively easy, so we assume fo the moment that 13) is satisfied. The Cauchy-Schwaz inequality togethe with the fact that g 1 gives that 2 fx + d)fx + 2d)V d) α6 N 3 log N). 2 x d Multilying out, eaanging and changing the summation vaiables, this imlies that f; h)x) f; 2h)x + d) V ; h)d) α6 N 3 14) log N) 2 h x d We ae going to use this to show that, fo many h, f; h) has a lage Fouie coefficient. We will do this by alying the Selbeg Sieve again to show that V ; h) is unifomly 2-dense on aveage, a concet we shall not define ecisely. Poosition 17 Let h n) denote the numbe of ways of exessing n as a diffeence of 2 elements of V ; h). Then h n) N ξh) 2 ξn) 2 ξn + h)ξn h). log N) 4 ξn, h)) 3 Poof We bing the Selbeg Sieve to bea on this by obseving that h n) is at most the numbe of x N fo which x, x n, x h and x n h ae all ime. With the excetion of at most 8N 1/2 of these x the olynomial hx) = xx n)x h)x n h) has no ime facto less than N 1/2. Witing A = {h1),..., hn)} this imlies that h n) 8N 1/2 + SA, P, N 1/2 ). We would clealy like to aly Theoem 12, but fist we must think about ω). Suose that 3. Then it is easonably easy to see that ω) = 4 unless one of the following fou ossibilities occus: i) n; ii) h; iii) n + h) and iv) n h). Futhemoe these ossibilities ae mutually exclusive unless divides both n and h, in which case they all occu. If they do all occu then ω) = 1. If i) o ii) occus then ω) = 2, and if iii) o iv) occus then ω) = 3. If = 2 the behaviou is moe subtle, but we will not concen ouselves with this as each individual ime only contibutes a bounded multilicative facto to the sieve estimate of Theoem 12. Theoem 12 with C = 4) cetainly alies to this situation, then, and with a modicum of effot one can veify that the key quantity N 1 ω) ) N 1/64 13

14 is equal, u to a oduct of tems of the fom 1 λ 2 ), to the delightful exession 1 4 ) 1 2 ) ) 1 N 1/64 n n+h) h 1 1 ) 1 n h) 1 1 ) ) 3 n,h) whee the final five oducts ae also constained to be ove N 1/64. Since an intege less than N cannot have moe than 64 ime factos N 1/64, this estiction can be emoved at the exense of intoducing anothe bounded multilicative constant. The esulting exession is easily seen to be bounded above by a constant multile of the one aeaing in the statement of the oosition. Poosition 18 Fo any h we have n N whee the imlied constant is indeendent of h. Poof By Poosition 17 we have n N h n) 2 N 3 log N) 8 ξh)4, h n) 2 N 2 log N) 8 ξh)4 ξn) 4 ξn + h) 2 ξn h) 2. n N By Hölde s Inequality the sum ove n is at most n ξn)8. We ae theefoe done by Lemma 14. The next esult claifies the sense in which V ; h) is, on aveage, unifomly 2-dense. In the following oosition V ; h) is egaded as a subset of Z N. Poosition 19 V ; h)ˆ) 4 N 4 log N) 8 ξh)4. 15) Poof Immediate fom Poosition 18 and the fact that V, h) is suoted in an inteval of size N/3 so that thee is no oblem with modula addition not being the same as odinay addition). Now we come to use 14). We shall use it to teat each h seaately, which we do by noting that fom 14) follows f; h)x) f; 2h)x + d) V ; h)d) γh) α6 N 2 log N), 2 x d 14

15 whee h γh) = N. Taking Fouie Coefficients, this imlies that Alying Hölde gives su f; h)ˆ) 1/2 f; h)ˆ) f; 2h)ˆ ) V ; h)ˆ) γh) α6 N 3 log N). 16) 2 γh) α6 N 3 log N) 2. f; h)ˆ) 2 ) 1/4 f; 2h)ˆ) 2 ) 1/2 V ; h)ˆ) 4 ) 1/4 The fist two backeted exessions may be bounded above using Paseval, and the thid is subject to the ue bound 15). One gets Thus thee is a function φ : Z N Z N such that su f; h)ˆ) γh)2 α 12 N. 17) ξh) 2 f; h)ˆφh)) 2 h α 24 N 2 h γh) 4 ξh) 4. This would imly that A fails to be quadatically unifom if we could show that the sum hee is N. To do this, we ecall that h γh) = N and use Hölde, getting ) 3 γh) 4 N 4 ξh) 4/3. ξh) 4 This is indeed N by Lemma 14. h We have now shown that if 14) holds then A is not quadatically Cα 24 -unifom fo some C. We also know that if A does not contain any E-ogessions then eithe 12) o 14) must hold. Howeve 12) is just the statement that A is not Cα 4 -unifom fo some C. Thus by Poosition 6 we may incooate eveything we have done so fa into the following. Poosition 20 Suose that A {1,..., N} has density α yet does not contain a ogession x, x + d, x + 2d) with d a ositive sum of two squaes. Then A is not quadatically Cα 24 -unifom fo some C. To sell it out, the conclusion of this oosition imlies that f; u)ˆφu)) 2 α 24 N 3 u 15 h

16 fo some function φ : Z N Z N. 5. Inceasing the Density on a Secial Subogession. Sets that fail to be quadatically unifom have an inteesting stuctue, as was established by Gowes [4] in the couse of oving Szemeédi s Theoem fo ogessions of length 4 a slightly weake esult was established in [3]). In that ae a esult along the following lines is oved. Theoem 21 Gowes Invese Theoem) Suose that A {1,..., N} has density α and that A fails to be quadatically C 1 α m 1 -unifom. Then thee is an aithmetic ogession L of length L N C 2α m 2 on which A has density at least α + C 3 α m 3, whee C 2, C 3, m 2 and m 3 deend only on m 1 and C 1. The main esult of this section is a vesion of Theoem 21 in which L has squae common diffeence. Unfotunately we have found it necessay to go a fai way into the detailed wokings of Gowes agument in ode to obtain this modification. Theefoe in ode to fully undestand this section the eade will need to be convesant with Chates 6, 7 and 8 of [4]. We shall equie one additional ingedient, which is a vesion of the following simultaneous aoximation esult of Schmidt [14]. Theoem 22 Schmidt) Let 1,..., h Z N and let t N. Suose that t N 0 h) is sufficiently lage. Then thee is t such that 2 i t 1/3h2 N fo all i, 1 i h. Unfotunately thee does not seem to be any lace in the liteatue whee an exlicit value of N 0 h) is deived. It would be ossible to wok though the oof in [14] and deive such an exlicit value which would obably not be too lage) but we will ove ou own, substantially weake, vesion of Theoem 22 with exlicit constants. Poosition 23 Let 1,..., h Z N and let t N. Suose that t 2 27h+129. Then thee is t such that 2 i t 2 7h+6) N fo all i, 1 i h. Poof We make extensive use of Lemma 8. Choose 1, 2,... inductively so that i t 2 7i+1) 18) and 2 i 2 i i t 2 7i+5) N 19) fo each i = 1,..., h. Let = h. It is easy to check that t. Futhemoe 2 i h 2 2 h i+1 2 i i t 2 7i+6) t 2 7i+5) N t 2 7h+6) N 16

17 as equied. The eeated alications of Lemma 8 equie cetain things to be sufficiently lage. The most difficult condition to satisfy is that aising fom the last ste in ou inductive constuction, whee we equie t 2 7h+1) This is whee the estiction in the oosition comes fom. Let us assume then that f : Z N C has f 1 and that f; k)ˆφk)) 2 2βN 3 20) k fo some function φ : Z N Z N. We stat with a tivial deduction fom this, which is oved by a simle aveaging agument: thee is a set B Z N with B βn and f; )ˆφ)) β 1/2 N 21) fo all k B. We have then f; k)ˆφk)) 2 β 2 N 3. 22) k B If K Z N and η 0, 1) wite BK, η) fo the set of all n Z N such that nk ηn fo all k K. We call such a set a Boh Neighbouhood. The following may be deduced fom Poosition 6.1, Coollay 7.6, Lemma 7.8 and Coollay 7.9 of [4]. This deduction is logically extemely staightfowad, but just a touch messy when it comes to actually woking out values. Poosition 24 Let δ = β Thee is a set B B with B δn, and a set K Z N with K 16δ 2, such that the following is tue. If m is any ositive intege and d BK, δ/100m) then thee is c such that φx) φy) = cx y) wheneve x, y B and x y belongs to the set {jd : m j m}. Wite P 0 fo the aithmetic ogession {d, 2d,..., md}. Choose a tanslate P = P 0 + z fo which P B δm, and let H = P B. If x and y lie in H then x y is in {jd : m j m} and so φ H is the estiction of a linea function fom Z N to itself, by Poosition 24. We will soon find ouselves dealing with some easonably lage numbes, and it is convenient to have a shothand notation fo them. If n 1 is a aamete then we wite C 0 n) fo any olynomial in n. C 1 n) will mean a function of tye 2 n), whee is a olynomial, and finally C 2 n) will be a function of tye 2 2n). We will feel at libety to use these symbols seveal times, sometimes in the same fomula, to denote diffeent functions. Poosition 23 allows us, ovided K and δ/100m satisfy a cetain inequality, to conclude 17

18 that d may be taken to be a small squae numbe. Take t = N 1/4 in Poosition 23 and ecall that K 16δ 2. Then thee is N 1/4 such that 2 BK, δ/100m) ovided that δ 100m N 1/C 1δ 1 ) and that N C 2 δ 1 ). Fo N geate than some C 2 δ 1 ) we can ick m = N 1/C 1δ 1) so that this is satisfied by a colossal magin. Putting eveything togethe, and ecalling that δ is β 5821, we have the following. Poosition 25 Suose that 22) holds and that N C 2 β 1 ). Then thee is a ogession P Z N with common diffeence 2, whee N 1/4, and length at least N 1/C 1β 1), with the following oety. Thee is H P B with H β 5821 P and λ, µ Z N such that φs) = λs + µ fo all s H. Let us now make a deduction fom Poosition 8.1 of [4]. This is done using the evious oosition and 21). Poosition 26 Suose that 20) holds and that N C 2 β 1 ). Then thee is an aithmetic ogession P with common diffeence 2, whee N 1/4, and length at least N 1/C 1β 1) and quadatic olynomials ψ 0, ψ 1,..., ψ N 1 such that fz)ω ψsz) β 5822 N P. s z P +s Befoe stating and oving the next Lemma we need a vesion of Lemma 8 fo fouth owes. Once again we can simly ead it fom [4]. Lemma 27 Let a Z N, let t N and suose that t Then thee is t such that 4 a t 1/128 N. Poosition 28 Let ψx) = ax 2 + bx + c be a quadatic olynomial with coefficients in Z N. Let L N, and let P Z N be an aithmetic ogession of length L with squae common diffeence. Let W L Then thee is a atition of P into subogessions R 1,..., R m, with R i having length between W and 2W and squae common diffeence, such that DiamψR i )) L 2 20 N fo all i. Poof We may escale and assume that P = {1,..., L} with no loss of geneality. Fo any x 0, λ, d we have ψx 0 + λd 2 ) ψx 0 ) = aλ 2 d 4 + 2ax 0 + b)λd 2. 18

19 By Poosition 27 we may choose d L 1/8 such that ad 4 L 2 10 N. Patition {1,..., L} into ogessions P 1,..., P l with common diffeence d 2 and lengths lying between L 2 13 and L The diamete of ψ on P i then satisfies DiamψP i )) L 2 11 N + Diamθ i P i )), 23) whee θ i is a linea olynomial deending on i. Fix i, and fo ease of notation escale P i to {1,..., K} by the squae scaling facto d 2 ) whee K L Suose that θ i x) = x + s unde this escaling. Clealy θ i x 1 + µe 2 ) θ i x 1 ) = µe 2. By Lemma 8 we may choose e K 1/4 so that e 2 K 1/64 N. Divide P i into futhe subogessions E j with common diffeence e 2 and lengths lying between K 1/256 and K 1/128. On these subogessions we will have Diamθ i E j )) K 1/128 N. Do this fo each i, escale the esultant ogessions by the facto d 2, and then efom a futhe subdivision to satisfy the technical condition on the lengths of the R i in the statement. Recalling 23) we get the esult. Call an aithmetic ogession Q Z N nice if it does not wa in Z N, by which we mean that the length LQ) and the common diffeence dq) satisfy LQ)dQ) N. Obseve that the ogession P found in Poosition 25 is nice, because we constucted it to have small common diffeence. We obseve that any tanslate of a nice ogession is nice, as is any subogession. Let us now combine Poositions 26 and 28 in the obvious way. Poosition 29 Suose that 20) holds and that N C 2 β 1 ). Then thee is W = N 1/C 1β 1), nice aithmetic ogessions R i,s, 1 i m, 1 s N, each having length between W and 2W and squae common diffeence, and quadatic olynomials ψ 0,..., ψ N 1 such that i s β 5822 R i,s. 24) i,s z R i,s fz)ω ψsz) Futhemoe evey oint of Z N lies in the same numbe of R i,s and Diamψ s R i,s )) W 2 N. 25) Let us use this oosition immediately. Fo each i, s choose z 0 R i,s. Then using 25) and 19

20 the fact that f 1 we have fz) ω ψsz) ω ) ψsz0) z R i,s 2πW 2 fz) z R i,s 4πW β 5822 R i,s ovided that W C 0 β 1 ). This will be the case if N is at least some suitably lage C 2 β 1 ) though N might need to be lage than it had to be befoe). It now follows fom 24) that fz) i s z R i,s β 5822 R i,s. i,s We ae now almost home. The fact that evey oint lies in the same numbe of R i,s imlies that fz) = 0, i s z R i,s and so fz) i s z R i,s + fz) β 5822 R i,s. z R i,s i,s Fom this it follows immediately that fz) β 5822 R fo some R = R i,s. z R The one emaining obstacle is the fact that whilst R is nice, it might still staddle 0 in Z N. Thus when Z N is unwaed, R might become two aithmetic ogessions R 1 and R 2. Both of these will still have squae common diffeence, so we can be hoeful of exticating ouselves. The following lemma, oved by a simle aveaging agument, coves the situation. Lemma 30 Suose that f 1 and that z R fz) η R, whee R is a nice aithmetic ogession in Z N. Suose that R = R 1 R 2, whee neithe R 1 no R 2 staddles 0. Then, fo some i {1, 2}, R i has length at least η R /3 and z R i fz) η R i /3. Finally, we can deduce the following vaiant of Gowes Invese Theoem. 20

21 Theoem 31 Let f : Z N C have f 1, and suose that thee is a function φ : Z N Z N such that f; )ˆφ)) 2 βn 3. Suose that N C 2 β 1 ). Then thee is an aithmetic ogession S Z with squae common diffeence and length at least N 1/C1β) such that fx) β 5822 S. x S The sudden change in the owes of two hee comes fom the fact that we elaced 2β in 20) with β. By the main esult of 4 we have shown that if A contains no tiles a, a + d, a + 2d) with d = x 2 + y 2 then A has density α + Ω α ) on a ogession of size N 1/C 1α 1) with squae common diffeence. The new set A must have the same oety - it cannot contain an aithmetic ogession with sum-of-two-squaes common diffeence. How often can this agument be iteated? Afte O α ) iteations we will have eached density 1, by which time the length of ou subogession will still be of the fom N = N 1/C 1α 1). In ode fo the iteation ste to wok we equie that N C 2 α 1 ) at all times. We theefoe have a contadiction ovided that N 1/C 1α 1) C 2 α 1 ), and it is easy to see that this is imlied by some bound α log log N) c. This concludes the oof of Theoem 5. Accoding to my calculations, c = 10 6 is admissible. Refeences [1] Begelson, V. and Leibman, A. Polynomial Extensions of Van de Waeden s and Szemeédi s Theoems, J. Ame. Math. Soc ), no 3, [2] Fustenbug, H. Egodic behaviou of diagonal measues and a theoem of Szemeedi on aithmetic ogessions, J. Analyse. Math ) [3] Gowes, W.T. A New Poof of Szemeédi s Theoem fo Pogessions of Length 4, Geom. Funct. Anal ), no. 3, [4] Gowes, W.T. A New Poof of Szemeédi s Theoem, to aea in Geom. Funct. Analysis. Available at htt:// wtg10. [5] Geen, B. J. Notes on Sieve Theoy: The Selbeg Sieve, available at htt:// bjg23/exos.html. 21

22 [6] Halbestam, H. and Richet, H. -E. Sieve Methods, Academic Pess [7] Montgomey, H.L. Ten Lectues on the Inteface between Analytic Numbe Theoy and Hamonic Analysis, CBMS Regional Confeence Seies in Mathematics 84, AMS [8] Nathanson, M.B. Elementay Methods in Numbe Theoy, Singe [9] Pintz, J., Steige, W.L. and Szemeédi, E. On Sets of Natual Numbes whose Diffeence Set Contains No Squaes, J. London Math. Soc. 2) ) [10] Roth, K.F. On Cetain Sets of Integes, J. London Math Soc ) [11] Ruzsa, I.Z. Diffeence Sets Without Squaes, Peiod. Math. Hunga ), no. 3, [12] Sákőzy, A. On Diffeence Sets of Sequences of Integes I, Acta. Math. Acad. Sci. Hunga ), nos. 1 2, [13] Sákőzy, A. On Diffeence Sets of Sequences of Integes III, Acta Math. Acad. Sci. Hunga ), nos [14] Schmidt, W.M. Small Factional Pats of Polynomials, Regional Confeence Seies in Mathematics 32, AMS [15] Sinivasan, S. On a Result of Sakozy and Fustenbug, Nieuw. Ach. Wisk 4) ), no. 3, [16] Szemeédi, E. On Sets of Integes Containing No k Elements In Aithmetic Pogession, Acta. Aith ),

k. s k=1 Part of the significance of the Riemann zeta-function stems from Theorem 9.2. If s > 1 then 1 p s

k. s k=1 Part of the significance of the Riemann zeta-function stems from Theorem 9.2. If s > 1 then 1 p s 9 Pimes in aithmetic ogession Definition 9 The Riemann zeta-function ζs) is the function which assigns to a eal numbe s > the convegent seies k s k Pat of the significance of the Riemann zeta-function

More information

BEST CONSTANTS FOR UNCENTERED MAXIMAL FUNCTIONS. Loukas Grafakos and Stephen Montgomery-Smith University of Missouri, Columbia

BEST CONSTANTS FOR UNCENTERED MAXIMAL FUNCTIONS. Loukas Grafakos and Stephen Montgomery-Smith University of Missouri, Columbia BEST CONSTANTS FOR UNCENTERED MAXIMAL FUNCTIONS Loukas Gafakos and Stehen Montgomey-Smith Univesity of Missoui, Columbia Abstact. We ecisely evaluate the oeato nom of the uncenteed Hady-Littlewood maximal

More information

Problem Set #10 Math 471 Real Analysis Assignment: Chapter 8 #2, 3, 6, 8

Problem Set #10 Math 471 Real Analysis Assignment: Chapter 8 #2, 3, 6, 8 Poblem Set #0 Math 47 Real Analysis Assignment: Chate 8 #2, 3, 6, 8 Clayton J. Lungstum Decembe, 202 xecise 8.2 Pove the convese of Hölde s inequality fo = and =. Show also that fo eal-valued f / L ),

More information

Probabilistic number theory : A report on work done. What is the probability that a randomly chosen integer has no square factors?

Probabilistic number theory : A report on work done. What is the probability that a randomly chosen integer has no square factors? Pobabilistic numbe theoy : A eot on wo done What is the obability that a andomly chosen intege has no squae factos? We can constuct an initial fomula to give us this value as follows: If a numbe is to

More information

Solution to HW 3, Ma 1a Fall 2016

Solution to HW 3, Ma 1a Fall 2016 Solution to HW 3, Ma a Fall 206 Section 2. Execise 2: Let C be a subset of the eal numbes consisting of those eal numbes x having the popety that evey digit in the decimal expansion of x is, 3, 5, o 7.

More information

Kepler s problem gravitational attraction

Kepler s problem gravitational attraction Kele s oblem gavitational attaction Summay of fomulas deived fo two-body motion Let the two masses be m and m. The total mass is M = m + m, the educed mass is µ = m m /(m + m ). The gavitational otential

More information

ON INDEPENDENT SETS IN PURELY ATOMIC PROBABILITY SPACES WITH GEOMETRIC DISTRIBUTION. 1. Introduction. 1 r r. r k for every set E A, E \ {0},

ON INDEPENDENT SETS IN PURELY ATOMIC PROBABILITY SPACES WITH GEOMETRIC DISTRIBUTION. 1. Introduction. 1 r r. r k for every set E A, E \ {0}, ON INDEPENDENT SETS IN PURELY ATOMIC PROBABILITY SPACES WITH GEOMETRIC DISTRIBUTION E. J. IONASCU and A. A. STANCU Abstact. We ae inteested in constucting concete independent events in puely atomic pobability

More information

Dorin Andrica Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania

Dorin Andrica Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Cluj-Napoca, Romania #A INTEGERS 5A (05) THE SIGNUM EQUATION FOR ERDŐS-SURÁNYI SEQUENCES Doin Andica Faculty of Mathematics and Comute Science, Babeş-Bolyai Univesity, Cluj-Naoca, Romania dandica@math.ubbcluj.o Eugen J. Ionascu

More information

An Estimate of Incomplete Mixed Character Sums 1 2. Mei-Chu Chang 3. Dedicated to Endre Szemerédi for his 70th birthday.

An Estimate of Incomplete Mixed Character Sums 1 2. Mei-Chu Chang 3. Dedicated to Endre Szemerédi for his 70th birthday. An Estimate of Incomlete Mixed Chaacte Sums 2 Mei-Chu Chang 3 Dedicated to Ende Szemeédi fo his 70th bithday. 4 In this note we conside incomlete mixed chaacte sums ove a finite field F n of the fom x

More information

Analysis of Arithmetic. Analysis of Arithmetic. Analysis of Arithmetic Round-Off Errors. Analysis of Arithmetic. Analysis of Arithmetic

Analysis of Arithmetic. Analysis of Arithmetic. Analysis of Arithmetic Round-Off Errors. Analysis of Arithmetic. Analysis of Arithmetic In the fixed-oint imlementation of a digital filte only the esult of the multilication oeation is quantied The eesentation of a actical multilie with the quantie at its outut is shown below u v Q ^v The

More information

556: MATHEMATICAL STATISTICS I

556: MATHEMATICAL STATISTICS I 556: MATHEMATICAL STATISTICS I CHAPTER 5: STOCHASTIC CONVERGENCE The following efinitions ae state in tems of scala anom vaiables, but exten natually to vecto anom vaiables efine on the same obability

More information

Math 301: The Erdős-Stone-Simonovitz Theorem and Extremal Numbers for Bipartite Graphs

Math 301: The Erdős-Stone-Simonovitz Theorem and Extremal Numbers for Bipartite Graphs Math 30: The Edős-Stone-Simonovitz Theoem and Extemal Numbes fo Bipatite Gaphs May Radcliffe The Edős-Stone-Simonovitz Theoem Recall, in class we poved Tuán s Gaph Theoem, namely Theoem Tuán s Theoem Let

More information

MATH 220: SECOND ORDER CONSTANT COEFFICIENT PDE. We consider second order constant coefficient scalar linear PDEs on R n. These have the form

MATH 220: SECOND ORDER CONSTANT COEFFICIENT PDE. We consider second order constant coefficient scalar linear PDEs on R n. These have the form MATH 220: SECOND ORDER CONSTANT COEFFICIENT PDE ANDRAS VASY We conside second ode constant coefficient scala linea PDEs on R n. These have the fom Lu = f L = a ij xi xj + b i xi + c i whee a ij b i and

More information

Journal of Inequalities in Pure and Applied Mathematics

Journal of Inequalities in Pure and Applied Mathematics Jounal of Inequalities in Pue and Applied Mathematics COEFFICIENT INEQUALITY FOR A FUNCTION WHOSE DERIVATIVE HAS A POSITIVE REAL PART S. ABRAMOVICH, M. KLARIČIĆ BAKULA AND S. BANIĆ Depatment of Mathematics

More information

Lecture 28: Convergence of Random Variables and Related Theorems

Lecture 28: Convergence of Random Variables and Related Theorems EE50: Pobability Foundations fo Electical Enginees July-Novembe 205 Lectue 28: Convegence of Random Vaiables and Related Theoems Lectue:. Kishna Jagannathan Scibe: Gopal, Sudhasan, Ajay, Swamy, Kolla An

More information

Stanford University CS259Q: Quantum Computing Handout 8 Luca Trevisan October 18, 2012

Stanford University CS259Q: Quantum Computing Handout 8 Luca Trevisan October 18, 2012 Stanfod Univesity CS59Q: Quantum Computing Handout 8 Luca Tevisan Octobe 8, 0 Lectue 8 In which we use the quantum Fouie tansfom to solve the peiod-finding poblem. The Peiod Finding Poblem Let f : {0,...,

More information

CMSC 425: Lecture 5 More on Geometry and Geometric Programming

CMSC 425: Lecture 5 More on Geometry and Geometric Programming CMSC 425: Lectue 5 Moe on Geomety and Geometic Pogamming Moe Geometic Pogamming: In this lectue we continue the discussion of basic geometic ogamming fom the eious lectue. We will discuss coodinate systems

More information

Auchmuty High School Mathematics Department Advanced Higher Notes Teacher Version

Auchmuty High School Mathematics Department Advanced Higher Notes Teacher Version The Binomial Theoem Factoials Auchmuty High School Mathematics Depatment The calculations,, 6 etc. often appea in mathematics. They ae called factoials and have been given the notation n!. e.g. 6! 6!!!!!

More information

Online-routing on the butterfly network: probabilistic analysis

Online-routing on the butterfly network: probabilistic analysis Online-outing on the buttefly netwok: obabilistic analysis Andey Gubichev 19.09.008 Contents 1 Intoduction: definitions 1 Aveage case behavio of the geedy algoithm 3.1 Bounds on congestion................................

More information

THE PARITY OF THE PERIOD OF THE CONTINUED FRACTION OF d

THE PARITY OF THE PERIOD OF THE CONTINUED FRACTION OF d THE PARITY OF THE PERIOD OF THE CONTINUED FRACTION OF d ÉTIENNE FOUVRY AND JÜRGEN KLÜNERS Abstact. We ove that asymtotically in the set of squaefee integes d not divisible by imes conguent to 3 mod the

More information

Brief summary of functional analysis APPM 5440 Fall 2014 Applied Analysis

Brief summary of functional analysis APPM 5440 Fall 2014 Applied Analysis Bief summay of functional analysis APPM 5440 Fall 014 Applied Analysis Stephen Becke, stephen.becke@coloado.edu Standad theoems. When necessay, I used Royden s and Keyzsig s books as a efeence. Vesion

More information

Maximal Inequalities for the Ornstein-Uhlenbeck Process

Maximal Inequalities for the Ornstein-Uhlenbeck Process Poc. Ame. Math. Soc. Vol. 28, No., 2, (335-34) Reseach Reot No. 393, 998, Det. Theoet. Statist. Aahus Maimal Ineualities fo the Onstein-Uhlenbeck Pocess S.. GRAVRSN 3 and G. PSKIR 3 Let V = (V t ) t be

More information

Edge Cover Time for Regular Graphs

Edge Cover Time for Regular Graphs 1 2 3 47 6 23 11 Jounal of Intege Sequences, Vol. 11 (28, Aticle 8.4.4 Edge Cove Time fo Regula Gahs Robeto Tauaso Diatimento di Matematica Univesità di Roma To Vegata via della Riceca Scientifica 133

More information

6 PROBABILITY GENERATING FUNCTIONS

6 PROBABILITY GENERATING FUNCTIONS 6 PROBABILITY GENERATING FUNCTIONS Cetain deivations pesented in this couse have been somewhat heavy on algeba. Fo example, detemining the expectation of the Binomial distibution (page 5.1 tuned out to

More information

A THREE CRITICAL POINTS THEOREM AND ITS APPLICATIONS TO THE ORDINARY DIRICHLET PROBLEM

A THREE CRITICAL POINTS THEOREM AND ITS APPLICATIONS TO THE ORDINARY DIRICHLET PROBLEM A THREE CRITICAL POINTS THEOREM AND ITS APPLICATIONS TO THE ORDINARY DIRICHLET PROBLEM DIEGO AVERNA AND GABRIELE BONANNO Abstact. The aim of this pape is twofold. On one hand we establish a thee citical

More information

The Substring Search Problem

The Substring Search Problem The Substing Seach Poblem One algoithm which is used in a vaiety of applications is the family of substing seach algoithms. These algoithms allow a use to detemine if, given two chaacte stings, one is

More information

Encapsulation theory: the transformation equations of absolute information hiding.

Encapsulation theory: the transformation equations of absolute information hiding. 1 Encapsulation theoy: the tansfomation equations of absolute infomation hiding. Edmund Kiwan * www.edmundkiwan.com Abstact This pape descibes how the potential coupling of a set vaies as the set is tansfomed,

More information

Physics 121 Hour Exam #5 Solution

Physics 121 Hour Exam #5 Solution Physics 2 Hou xam # Solution This exam consists of a five poblems on five pages. Point values ae given with each poblem. They add up to 99 points; you will get fee point to make a total of. In any given

More information

Lot-sizing for inventory systems with product recovery

Lot-sizing for inventory systems with product recovery Lot-sizing fo inventoy systems with oduct ecovey Ruud Teunte August 29, 2003 Econometic Institute Reot EI2003-28 Abstact We study inventoy systems with oduct ecovey. Recoveed items ae as-good-as-new and

More information

PROBLEM SET #1 SOLUTIONS by Robert A. DiStasio Jr.

PROBLEM SET #1 SOLUTIONS by Robert A. DiStasio Jr. POBLM S # SOLUIONS by obet A. DiStasio J. Q. he Bon-Oppenheime appoximation is the standad way of appoximating the gound state of a molecula system. Wite down the conditions that detemine the tonic and

More information

Quasi-Randomness and the Distribution of Copies of a Fixed Graph

Quasi-Randomness and the Distribution of Copies of a Fixed Graph Quasi-Randomness and the Distibution of Copies of a Fixed Gaph Asaf Shapia Abstact We show that if a gaph G has the popety that all subsets of vetices of size n/4 contain the coect numbe of tiangles one

More information

C/CS/Phys C191 Shor s order (period) finding algorithm and factoring 11/12/14 Fall 2014 Lecture 22

C/CS/Phys C191 Shor s order (period) finding algorithm and factoring 11/12/14 Fall 2014 Lecture 22 C/CS/Phys C9 Sho s ode (peiod) finding algoithm and factoing /2/4 Fall 204 Lectue 22 With a fast algoithm fo the uantum Fouie Tansfom in hand, it is clea that many useful applications should be possible.

More information

Is the general form of Renyi s entropy a contrast for source separation?

Is the general form of Renyi s entropy a contrast for source separation? Is the geneal fom of Renyi s entoy a contast fo souce seaation? Fédéic Vins 1, Dinh-Tuan Pham 2, and Michel Veleysen 1 1 Machine Leaning Gou Univesité catholique de Louvain Louvain-la-Neuve, Belgium {vins,veleysen}@dice.ucl.ac.be

More information

Numerical approximation to ζ(2n+1)

Numerical approximation to ζ(2n+1) Illinois Wesleyan Univesity Fom the SelectedWoks of Tian-Xiao He 6 Numeical appoximation to ζ(n+1) Tian-Xiao He, Illinois Wesleyan Univesity Michael J. Dancs Available at: https://woks.bepess.com/tian_xiao_he/6/

More information

A Bijective Approach to the Permutational Power of a Priority Queue

A Bijective Approach to the Permutational Power of a Priority Queue A Bijective Appoach to the Pemutational Powe of a Pioity Queue Ia M. Gessel Kuang-Yeh Wang Depatment of Mathematics Bandeis Univesity Waltham, MA 02254-9110 Abstact A pioity queue tansfoms an input pemutation

More information

Analysis of Finite Word-Length Effects

Analysis of Finite Word-Length Effects T-6.46 Digital Signal Pocessing and Filteing 8.9.4 Intoduction Analysis of Finite Wod-Length Effects Finite wodlength effects ae caused by: Quantization of the filte coefficients ounding / tuncation of

More information

A generalization of the Bernstein polynomials

A generalization of the Bernstein polynomials A genealization of the Benstein polynomials Halil Ouç and Geoge M Phillips Mathematical Institute, Univesity of St Andews, Noth Haugh, St Andews, Fife KY16 9SS, Scotland Dedicated to Philip J Davis This

More information

Approximating the minimum independent dominating set in perturbed graphs

Approximating the minimum independent dominating set in perturbed graphs Aoximating the minimum indeendent dominating set in etubed gahs Weitian Tong, Randy Goebel, Guohui Lin, Novembe 3, 013 Abstact We investigate the minimum indeendent dominating set in etubed gahs gg, )

More information

10/04/18. P [P(x)] 1 negl(n).

10/04/18. P [P(x)] 1 negl(n). Mastemath, Sping 208 Into to Lattice lgs & Cypto Lectue 0 0/04/8 Lectues: D. Dadush, L. Ducas Scibe: K. de Boe Intoduction In this lectue, we will teat two main pats. Duing the fist pat we continue the

More information

On the ratio of maximum and minimum degree in maximal intersecting families

On the ratio of maximum and minimum degree in maximal intersecting families On the atio of maximum and minimum degee in maximal intesecting families Zoltán Lóánt Nagy Lale Özkahya Balázs Patkós Máté Vize Septembe 5, 011 Abstact To study how balanced o unbalanced a maximal intesecting

More information

Chapter 3: Theory of Modular Arithmetic 38

Chapter 3: Theory of Modular Arithmetic 38 Chapte 3: Theoy of Modula Aithmetic 38 Section D Chinese Remainde Theoem By the end of this section you will be able to pove the Chinese Remainde Theoem apply this theoem to solve simultaneous linea conguences

More information

I. CONSTRUCTION OF THE GREEN S FUNCTION

I. CONSTRUCTION OF THE GREEN S FUNCTION I. CONSTRUCTION OF THE GREEN S FUNCTION The Helmohltz equation in 4 dimensions is 4 + k G 4 x, x = δ 4 x x. In this equation, G is the Geen s function and 4 efes to the dimensionality. In the vey end,

More information

On a quantity that is analogous to potential and a theorem that relates to it

On a quantity that is analogous to potential and a theorem that relates to it Su une quantité analogue au potential et su un théoème y elatif C R Acad Sci 7 (87) 34-39 On a quantity that is analogous to potential and a theoem that elates to it By R CLAUSIUS Tanslated by D H Delphenich

More information

Math 124B February 02, 2012

Math 124B February 02, 2012 Math 24B Febuay 02, 202 Vikto Gigoyan 8 Laplace s equation: popeties We have aleady encounteed Laplace s equation in the context of stationay heat conduction and wave phenomena. Recall that in two spatial

More information

Exploration of the three-person duel

Exploration of the three-person duel Exploation of the thee-peson duel Andy Paish 15 August 2006 1 The duel Pictue a duel: two shootes facing one anothe, taking tuns fiing at one anothe, each with a fixed pobability of hitting his opponent.

More information

On the ratio of maximum and minimum degree in maximal intersecting families

On the ratio of maximum and minimum degree in maximal intersecting families On the atio of maximum and minimum degee in maximal intesecting families Zoltán Lóánt Nagy Lale Özkahya Balázs Patkós Máté Vize Mach 6, 013 Abstact To study how balanced o unbalanced a maximal intesecting

More information

9.1 The multiplicative group of a finite field. Theorem 9.1. The multiplicative group F of a finite field is cyclic.

9.1 The multiplicative group of a finite field. Theorem 9.1. The multiplicative group F of a finite field is cyclic. Chapte 9 Pimitive Roots 9.1 The multiplicative goup of a finite fld Theoem 9.1. The multiplicative goup F of a finite fld is cyclic. Remak: In paticula, if p is a pime then (Z/p) is cyclic. In fact, this

More information

q i i=1 p i ln p i Another measure, which proves a useful benchmark in our analysis, is the chi squared divergence of p, q, which is defined by

q i i=1 p i ln p i Another measure, which proves a useful benchmark in our analysis, is the chi squared divergence of p, q, which is defined by CSISZÁR f DIVERGENCE, OSTROWSKI S INEQUALITY AND MUTUAL INFORMATION S. S. DRAGOMIR, V. GLUŠČEVIĆ, AND C. E. M. PEARCE Abstact. The Ostowski integal inequality fo an absolutely continuous function is used

More information

Lecture 8 - Gauss s Law

Lecture 8 - Gauss s Law Lectue 8 - Gauss s Law A Puzzle... Example Calculate the potential enegy, pe ion, fo an infinite 1D ionic cystal with sepaation a; that is, a ow of equally spaced chages of magnitude e and altenating sign.

More information

HOW TO TEACH THE FUNDAMENTALS OF INFORMATION SCIENCE, CODING, DECODING AND NUMBER SYSTEMS?

HOW TO TEACH THE FUNDAMENTALS OF INFORMATION SCIENCE, CODING, DECODING AND NUMBER SYSTEMS? 6th INTERNATIONAL MULTIDISCIPLINARY CONFERENCE HOW TO TEACH THE FUNDAMENTALS OF INFORMATION SCIENCE, CODING, DECODING AND NUMBER SYSTEMS? Cecília Sitkuné Göömbei College of Nyíegyháza Hungay Abstact: The

More information

Exceptional regular singular points of second-order ODEs. 1. Solving second-order ODEs

Exceptional regular singular points of second-order ODEs. 1. Solving second-order ODEs (May 14, 2011 Exceptional egula singula points of second-ode ODEs Paul Gaett gaett@math.umn.edu http://www.math.umn.edu/ gaett/ 1. Solving second-ode ODEs 2. Examples 3. Convegence Fobenius method fo solving

More information

A NOTE ON ROTATIONS AND INTERVAL EXCHANGE TRANSFORMATIONS ON 3-INTERVALS KARMA DAJANI

A NOTE ON ROTATIONS AND INTERVAL EXCHANGE TRANSFORMATIONS ON 3-INTERVALS KARMA DAJANI A NOTE ON ROTATIONS AND INTERVAL EXCHANGE TRANSFORMATIONS ON 3-INTERVALS KARMA DAJANI Abstact. Wepove the conjectue that an inteval exchange tansfomation on 3-intevals with coesponding pemutation (1; 2;

More information

Cross section dependence on ski pole sti ness

Cross section dependence on ski pole sti ness Coss section deendence on ski ole sti ness Johan Bystöm and Leonid Kuzmin Abstact Ski equiment oduce SWIX has ecently esented a new ai of ski oles, called SWIX Tiac, which di es fom conventional (ound)

More information

TANTON S TAKE ON CONTINUOUS COMPOUND INTEREST

TANTON S TAKE ON CONTINUOUS COMPOUND INTEREST CURRICULUM ISPIRATIOS: www.maa.og/ci www.theglobalmathpoject.og IOVATIVE CURRICULUM OLIE EXPERIECES: www.gdaymath.com TATO TIDBITS: www.jamestanton.com TATO S TAKE O COTIUOUS COMPOUD ITEREST DECEMBER 208

More information

Physics 221 Lecture 41 Nonlinear Absorption and Refraction

Physics 221 Lecture 41 Nonlinear Absorption and Refraction Physics 221 Lectue 41 Nonlinea Absoption and Refaction Refeences Meye-Aendt, pp. 97-98. Boyd, Nonlinea Optics, 1.4 Yaiv, Optical Waves in Cystals, p. 22 (Table of cystal symmeties) 1. Intoductoy Remaks.

More information

The least common multiple of a quadratic sequence

The least common multiple of a quadratic sequence The least common multile of a quadatic sequence Javie Cilleuelo Abstact Fo any ieducible quadatic olynomial fx in Z[x] we obtain the estimate log l.c.m. f1,..., fn n log n Bn on whee B is a constant deending

More information

Probablistically Checkable Proofs

Probablistically Checkable Proofs Lectue 12 Pobablistically Checkable Poofs May 13, 2004 Lectue: Paul Beame Notes: Chis Re 12.1 Pobablisitically Checkable Poofs Oveview We know that IP = PSPACE. This means thee is an inteactive potocol

More information

On the integration of the equations of hydrodynamics

On the integration of the equations of hydrodynamics Uebe die Integation de hydodynamischen Gleichungen J f eine u angew Math 56 (859) -0 On the integation of the equations of hydodynamics (By A Clebsch at Calsuhe) Tanslated by D H Delphenich In a pevious

More information

COLLAPSING WALLS THEOREM

COLLAPSING WALLS THEOREM COLLAPSING WALLS THEOREM IGOR PAK AND ROM PINCHASI Abstact. Let P R 3 be a pyamid with the base a convex polygon Q. We show that when othe faces ae collapsed (otated aound the edges onto the plane spanned

More information

H.W.GOULD West Virginia University, Morgan town, West Virginia 26506

H.W.GOULD West Virginia University, Morgan town, West Virginia 26506 A F I B O N A C C I F O R M U L A OF LUCAS A N D ITS SUBSEQUENT M A N I F E S T A T I O N S A N D R E D I S C O V E R I E S H.W.GOULD West Viginia Univesity, Mogan town, West Viginia 26506 Almost eveyone

More information

AQI: Advanced Quantum Information Lecture 2 (Module 4): Order finding and factoring algorithms February 20, 2013

AQI: Advanced Quantum Information Lecture 2 (Module 4): Order finding and factoring algorithms February 20, 2013 AQI: Advanced Quantum Infomation Lectue 2 (Module 4): Ode finding and factoing algoithms Febuay 20, 203 Lectue: D. Mak Tame (email: m.tame@impeial.ac.uk) Intoduction In the last lectue we looked at the

More information

New problems in universal algebraic geometry illustrated by boolean equations

New problems in universal algebraic geometry illustrated by boolean equations New poblems in univesal algebaic geomety illustated by boolean equations axiv:1611.00152v2 [math.ra] 25 Nov 2016 Atem N. Shevlyakov Novembe 28, 2016 Abstact We discuss new poblems in univesal algebaic

More information

A proof of the binomial theorem

A proof of the binomial theorem A poof of the binomial theoem If n is a natual numbe, let n! denote the poduct of the numbes,2,3,,n. So! =, 2! = 2 = 2, 3! = 2 3 = 6, 4! = 2 3 4 = 24 and so on. We also let 0! =. If n is a non-negative

More information

Deterministic vs Non-deterministic Graph Property Testing

Deterministic vs Non-deterministic Graph Property Testing Deteministic vs Non-deteministic Gaph Popety Testing Lio Gishboline Asaf Shapia Abstact A gaph popety P is said to be testable if one can check whethe a gaph is close o fa fom satisfying P using few andom

More information

On decompositions of complete multipartite graphs into the union of two even cycles

On decompositions of complete multipartite graphs into the union of two even cycles On decompositions of complete multipatite gaphs into the union of two even cycles A. Su, J. Buchanan, R. C. Bunge, S. I. El-Zanati, E. Pelttai, G. Rasmuson, E. Spaks, S. Tagais Depatment of Mathematics

More information

arxiv: v1 [math.nt] 12 May 2017

arxiv: v1 [math.nt] 12 May 2017 SEQUENCES OF CONSECUTIVE HAPPY NUMBERS IN NEGATIVE BASES HELEN G. GRUNDMAN AND PAMELA E. HARRIS axiv:1705.04648v1 [math.nt] 12 May 2017 ABSTRACT. Fo b 2 and e 2, let S e,b : Z Z 0 be the function taking

More information

Scattering in Three Dimensions

Scattering in Three Dimensions Scatteing in Thee Dimensions Scatteing expeiments ae an impotant souce of infomation about quantum systems, anging in enegy fom vey low enegy chemical eactions to the highest possible enegies at the LHC.

More information

Numerical solution of the first order linear fuzzy differential equations using He0s variational iteration method

Numerical solution of the first order linear fuzzy differential equations using He0s variational iteration method Malaya Jounal of Matematik, Vol. 6, No. 1, 80-84, 2018 htts://doi.og/16637/mjm0601/0012 Numeical solution of the fist ode linea fuzzy diffeential equations using He0s vaiational iteation method M. Ramachandan1

More information

3.1 Random variables

3.1 Random variables 3 Chapte III Random Vaiables 3 Random vaiables A sample space S may be difficult to descibe if the elements of S ae not numbes discuss how we can use a ule by which an element s of S may be associated

More information

Pearson s Chi-Square Test Modifications for Comparison of Unweighted and Weighted Histograms and Two Weighted Histograms

Pearson s Chi-Square Test Modifications for Comparison of Unweighted and Weighted Histograms and Two Weighted Histograms Peason s Chi-Squae Test Modifications fo Compaison of Unweighted and Weighted Histogams and Two Weighted Histogams Univesity of Akueyi, Bogi, v/noduslód, IS-6 Akueyi, Iceland E-mail: nikolai@unak.is Two

More information

Bounds for the Density of Abundant Integers

Bounds for the Density of Abundant Integers Bounds fo the Density of Abundant Integes Mac Deléglise CONTENTS Intoduction. Eessing A() as a Sum 2. Tivial Bounds fo A () 3. Lowe Bound fo A() 4. Ue Bounds fo A () 5. Mean Values of f(n) and Ue Bounds

More information

Method for Approximating Irrational Numbers

Method for Approximating Irrational Numbers Method fo Appoximating Iational Numbes Eic Reichwein Depatment of Physics Univesity of Califonia, Santa Cuz June 6, 0 Abstact I will put foth an algoithm fo poducing inceasingly accuate ational appoximations

More information

RATIONAL BASE NUMBER SYSTEMS FOR p-adic NUMBERS

RATIONAL BASE NUMBER SYSTEMS FOR p-adic NUMBERS RAIRO-Theo. Inf. Al. 46 (202) 87 06 DOI: 0.05/ita/204 Available online at: www.aio-ita.og RATIONAL BASE NUMBER SYSTEMS FOR -ADIC NUMBERS Chistiane Fougny and Kael Klouda 2 Abstact. This ae deals with ational

More information

Physics 2A Chapter 10 - Moment of Inertia Fall 2018

Physics 2A Chapter 10 - Moment of Inertia Fall 2018 Physics Chapte 0 - oment of netia Fall 08 The moment of inetia of a otating object is a measue of its otational inetia in the same way that the mass of an object is a measue of its inetia fo linea motion.

More information

An upper bound on the number of high-dimensional permutations

An upper bound on the number of high-dimensional permutations An uppe bound on the numbe of high-dimensional pemutations Nathan Linial Zu Luia Abstact What is the highe-dimensional analog of a pemutation? If we think of a pemutation as given by a pemutation matix,

More information

Kirby-Melvin s τ r and Ohtsuki s τ for Lens Spaces

Kirby-Melvin s τ r and Ohtsuki s τ for Lens Spaces Kiby-Melvin s τ and Ohtsuki s τ fo Lens Saces Bang-He Li & Tian-Jun Li axiv:math/9807155v1 [mathqa] 27 Jul 1998 Abstact Exlicit fomulae fo τ (L(,q)) and τ(l(,q)) ae obtained fo all L(,q) Thee ae thee systems

More information

Do Managers Do Good With Other People s Money? Online Appendix

Do Managers Do Good With Other People s Money? Online Appendix Do Manages Do Good With Othe People s Money? Online Appendix Ing-Haw Cheng Haison Hong Kelly Shue Abstact This is the Online Appendix fo Cheng, Hong and Shue 2013) containing details of the model. Datmouth

More information

Classical Worm algorithms (WA)

Classical Worm algorithms (WA) Classical Wom algoithms (WA) WA was oiginally intoduced fo quantum statistical models by Pokof ev, Svistunov and Tupitsyn (997), and late genealized to classical models by Pokof ev and Svistunov (200).

More information

ON THE INVERSE SIGNED TOTAL DOMINATION NUMBER IN GRAPHS. D.A. Mojdeh and B. Samadi

ON THE INVERSE SIGNED TOTAL DOMINATION NUMBER IN GRAPHS. D.A. Mojdeh and B. Samadi Opuscula Math. 37, no. 3 (017), 447 456 http://dx.doi.og/10.7494/opmath.017.37.3.447 Opuscula Mathematica ON THE INVERSE SIGNED TOTAL DOMINATION NUMBER IN GRAPHS D.A. Mojdeh and B. Samadi Communicated

More information

AST 121S: The origin and evolution of the Universe. Introduction to Mathematical Handout 1

AST 121S: The origin and evolution of the Universe. Introduction to Mathematical Handout 1 Please ead this fist... AST S: The oigin and evolution of the Univese Intoduction to Mathematical Handout This is an unusually long hand-out and one which uses in places mathematics that you may not be

More information

Polar Coordinates. a) (2; 30 ) b) (5; 120 ) c) (6; 270 ) d) (9; 330 ) e) (4; 45 )

Polar Coordinates. a) (2; 30 ) b) (5; 120 ) c) (6; 270 ) d) (9; 330 ) e) (4; 45 ) Pola Coodinates We now intoduce anothe method of labelling oints in a lane. We stat by xing a oint in the lane. It is called the ole. A standad choice fo the ole is the oigin (0; 0) fo the Catezian coodinate

More information

MATH 415, WEEK 3: Parameter-Dependence and Bifurcations

MATH 415, WEEK 3: Parameter-Dependence and Bifurcations MATH 415, WEEK 3: Paamete-Dependence and Bifucations 1 A Note on Paamete Dependence We should pause to make a bief note about the ole played in the study of dynamical systems by the system s paametes.

More information

Nuclear and Particle Physics - Lecture 20 The shell model

Nuclear and Particle Physics - Lecture 20 The shell model 1 Intoduction Nuclea and Paticle Physics - Lectue 0 The shell model It is appaent that the semi-empiical mass fomula does a good job of descibing tends but not the non-smooth behaviou of the binding enegy.

More information

ON SPARSELY SCHEMMEL TOTIENT NUMBERS. Colin Defant 1 Department of Mathematics, University of Florida, Gainesville, Florida

ON SPARSELY SCHEMMEL TOTIENT NUMBERS. Colin Defant 1 Department of Mathematics, University of Florida, Gainesville, Florida #A8 INTEGERS 5 (205) ON SPARSEL SCHEMMEL TOTIENT NUMBERS Colin Defant Depatment of Mathematics, Univesity of Floida, Gainesville, Floida cdefant@ufl.edu Received: 7/30/4, Revised: 2/23/4, Accepted: 4/26/5,

More information

Psychometric Methods: Theory into Practice Larry R. Price

Psychometric Methods: Theory into Practice Larry R. Price ERRATA Psychometic Methods: Theoy into Pactice Lay R. Pice Eos wee made in Equations 3.5a and 3.5b, Figue 3., equations and text on pages 76 80, and Table 9.1. Vesions of the elevant pages that include

More information

MAGNETIC FIELD AROUND TWO SEPARATED MAGNETIZING COILS

MAGNETIC FIELD AROUND TWO SEPARATED MAGNETIZING COILS The 8 th Intenational Confeence of the Slovenian Society fo Non-Destuctive Testing»pplication of Contempoay Non-Destuctive Testing in Engineeing«Septembe 1-3, 5, Potoož, Slovenia, pp. 17-1 MGNETIC FIELD

More information

arxiv: v1 [math.co] 1 Apr 2011

arxiv: v1 [math.co] 1 Apr 2011 Weight enumeation of codes fom finite spaces Relinde Juius Octobe 23, 2018 axiv:1104.0172v1 [math.co] 1 Ap 2011 Abstact We study the genealized and extended weight enumeato of the - ay Simplex code and

More information

QIP Course 10: Quantum Factorization Algorithm (Part 3)

QIP Course 10: Quantum Factorization Algorithm (Part 3) QIP Couse 10: Quantum Factoization Algoithm (Pat 3 Ryutaoh Matsumoto Nagoya Univesity, Japan Send you comments to yutaoh.matsumoto@nagoya-u.jp Septembe 2018 @ Tokyo Tech. Matsumoto (Nagoya U. QIP Couse

More information

Surveillance Points in High Dimensional Spaces

Surveillance Points in High Dimensional Spaces Société de Calcul Mathématique SA Tools fo decision help since 995 Suveillance Points in High Dimensional Spaces by Benad Beauzamy Januay 06 Abstact Let us conside any compute softwae, elying upon a lage

More information

OLYMON. Produced by the Canadian Mathematical Society and the Department of Mathematics of the University of Toronto. Issue 9:2.

OLYMON. Produced by the Canadian Mathematical Society and the Department of Mathematics of the University of Toronto. Issue 9:2. OLYMON Poduced by the Canadian Mathematical Society and the Depatment of Mathematics of the Univesity of Toonto Please send you solution to Pofesso EJ Babeau Depatment of Mathematics Univesity of Toonto

More information

working pages for Paul Richards class notes; do not copy or circulate without permission from PGR 2004/11/3 10:50

working pages for Paul Richards class notes; do not copy or circulate without permission from PGR 2004/11/3 10:50 woking pages fo Paul Richads class notes; do not copy o ciculate without pemission fom PGR 2004/11/3 10:50 CHAPTER7 Solid angle, 3D integals, Gauss s Theoem, and a Delta Function We define the solid angle,

More information

Multiple Criteria Secretary Problem: A New Approach

Multiple Criteria Secretary Problem: A New Approach J. Stat. Appl. Po. 3, o., 9-38 (04 9 Jounal of Statistics Applications & Pobability An Intenational Jounal http://dx.doi.og/0.785/jsap/0303 Multiple Citeia Secetay Poblem: A ew Appoach Alaka Padhye, and

More information

Bounds for Codimensions of Fitting Ideals

Bounds for Codimensions of Fitting Ideals Ž. JOUNAL OF ALGEBA 194, 378 382 1997 ATICLE NO. JA966999 Bounds fo Coensions of Fitting Ideals Michał Kwiecinski* Uniwesytet Jagiellonski, Instytut Matematyki, ul. eymonta 4, 30-059, Kakow, Poland Communicated

More information

The Strain Compatibility Equations in Polar Coordinates RAWB, Last Update 27/12/07

The Strain Compatibility Equations in Polar Coordinates RAWB, Last Update 27/12/07 The Stain Compatibility Equations in Pola Coodinates RAWB Last Update 7//7 In D thee is just one compatibility equation. In D polas it is (Equ.) whee denotes the enineein shea (twice the tensoial shea)

More information

KOEBE DOMAINS FOR THE CLASSES OF FUNCTIONS WITH RANGES INCLUDED IN GIVEN SETS

KOEBE DOMAINS FOR THE CLASSES OF FUNCTIONS WITH RANGES INCLUDED IN GIVEN SETS Jounal of Applied Analysis Vol. 14, No. 1 2008), pp. 43 52 KOEBE DOMAINS FOR THE CLASSES OF FUNCTIONS WITH RANGES INCLUDED IN GIVEN SETS L. KOCZAN and P. ZAPRAWA Received Mach 12, 2007 and, in evised fom,

More information

Sincere Voting and Information Aggregation with Voting Costs

Sincere Voting and Information Aggregation with Voting Costs Sincee Voting and Infomation Aggegation with Voting Costs Vijay Kishna y and John Mogan z August 007 Abstact We study the oeties of euilibium voting in two-altenative elections unde the majoity ule. Votes

More information

THE CONE THEOREM JOEL A. TROPP. Abstract. We prove a fixed point theorem for functions which are positive with respect to a cone in a Banach space.

THE CONE THEOREM JOEL A. TROPP. Abstract. We prove a fixed point theorem for functions which are positive with respect to a cone in a Banach space. THE ONE THEOEM JOEL A. TOPP Abstact. We pove a fixed point theoem fo functions which ae positive with espect to a cone in a Banach space. 1. Definitions Definition 1. Let X be a eal Banach space. A subset

More information

5.61 Physical Chemistry Lecture #23 page 1 MANY ELECTRON ATOMS

5.61 Physical Chemistry Lecture #23 page 1 MANY ELECTRON ATOMS 5.6 Physical Chemisty Lectue #3 page MAY ELECTRO ATOMS At this point, we see that quantum mechanics allows us to undestand the helium atom, at least qualitatively. What about atoms with moe than two electons,

More information

Syntactical content of nite approximations of partial algebras 1 Wiktor Bartol Inst. Matematyki, Uniw. Warszawski, Warszawa (Poland)

Syntactical content of nite approximations of partial algebras 1 Wiktor Bartol Inst. Matematyki, Uniw. Warszawski, Warszawa (Poland) Syntactical content of nite appoximations of patial algebas 1 Wikto Batol Inst. Matematyki, Uniw. Waszawski, 02-097 Waszawa (Poland) batol@mimuw.edu.pl Xavie Caicedo Dep. Matematicas, Univ. de los Andes,

More information

CHAPTER 3. Section 1. Modeling Population Growth

CHAPTER 3. Section 1. Modeling Population Growth CHAPTER 3 Section 1. Modeling Population Gowth 1.1. The equation of the Malthusian model is Pt) = Ce t. Apply the initial condition P) = 1. Then 1 = Ce,oC = 1. Next apply the condition P1) = 3. Then 3

More information