Invariant relations between binary Goldbach s decompositions numbers coded in a 4 letters language

Size: px
Start display at page:

Download "Invariant relations between binary Goldbach s decompositions numbers coded in a 4 letters language"

Transcription

1 Ivariat relatios betwee biary Goldbach s decompositios umbers coded i a letters laguage Deise Vella-Chemla To cite this versio: Deise Vella-Chemla. Ivariat relatios betwee biary Goldbach s decompositios umbers coded i a letters laguage <hal > HAL Id: hal Submitted o Ja 015 HAL is a multi-discipliary ope access archive for the deposit ad dissemiatio of scietific research documets, whether they are published or ot. The documets may come from teachig ad research istitutios i Frace or abroad, or from public or private research ceters. L archive ouverte pluridiscipliaire HAL, est destiée au dépôt et à la diffusio de documets scietifiques de iveau recherche, publiés ou o, émaat des établissemets d eseigemet et de recherche fraçais ou étragers, des laboratoires publics ou privés.

2 Ivariat relatios betwee biary Goldbach s decompositios umbers coded i a letters laguage Deise Vella-Chemla October 01 1 Itroductio Goldbach s cojecture states that each eve iteger except is the sum of two prime umbers. This ote presets a set of ivariat relatios ucovered betwee some Goldbach s decompositios umbers, the decompositios beig coded i a letters laguage. We will try to use those ivariat relatios to attempt to obtai a recurrece demostratio of Goldbach s biary cojecture. I the followig, oe is iterested i decompositios of a eve umber as a sum of two odd itegers p+q with 3 p /, / q 3 ad p q. We call p a s first rage sommat ad q a s secod rage sommat. Notatios : We will desigate by : a : a s decompositio of the form p + q with p ad q primes ; b : a s decompositio of the form p + q with p compoud ad q prime ; c : a s decompositio of the form p + q with p prime ad q compoud ; d : a s decompositio of the form p + q with p ad q compoud umbers. Example : l 0 a c c b a c d a c The mai array ( We desigate by T = (L, C = l,m the array cotaiig l,m elemets that are oe of a, b, c, d letters. belogs to the set of eve itegers greater tha or equal to 6. m, belogig to the set of odd itegers greater tha or equal to 3, is a elemet of list of first rage sommats. Let us cosider g fuctio defied by : g : N N + 1 x x + 1 g(6 = 3, g(8 = 3, g(10 = 5, g(1 = 5, g(1 = 7, g(16 = 7, etc. 1

3 g( fuctio defies the greatest of first rage sommats. As we oly cosider decompositios of the form p+q where p q, i T will oly appear letters l,m such that m +1 i such a way that T array first letters are : l 6,3, l 8,3, l 10,3, l 10,5, l 1,3, l 1,5, l 1,3, l 1,5, l 1,7, etc. Here are first lies of array T. Remarks : C L 6 a 8 a 10 a a 1 c a 1 a c a 16 a a c 18 c a a d 0 a c a b a a c b a c a a d a 6 a c a b c a 8 c a c b a c 30 c c a d a a d 3 a c c b c a b 3 a a c d a c b a 36 c a a d c a d a... Figure 1 : words of eve umbers betwee 6 ad 36 1 words o array s diagoals called diagoal words have their letters either i A ab = {a, b} alphabet or i A cd = {c, d} alphabet. a diagoal word codes decompositios that have the same secod rage sommat. For istace, o Figure, letters aaabaa of the diagoal that begis at letter l 6,3 = a code decompositios 3 + 3, 5 + 3, 7 + 3, 9 + 3, ad let us desigate by l the lie whose elemets are l,m. Lie l cotais elemets. beig fixed, let us call C,3 the colum formed by l k,3 for 6 k. I this colum C,3, let us distiguish two parts, the top part ad the bottom part of the colum. + Let us call H,3 colum s top part, i.e. set of l k,3 where 6 k. + Let us call B,3 colum s bottom part, i.e. set of l k,3 where < k.

4 H 3,3 B 3,3 Z a = 5 Z c = Y a = 5 Y c = 3 6 : 8 : 10 : 1 : 1 : 16 : 18 : 0 : : : 6 : 8 : 30 : 3 : 3 : a a a c a a a c a a a c c a a d a c a b a a c b a c a a d a a c a b c a c a c b a c c c a d a a d a c c b c a b a a c d a c b a Figure : = 3 X a =, X b = 1, X c =, X d = 1 To better uderstad coutigs i ext sectio, we will use projectio P of lie o bottom part of first colum B,3 that associates letters at both extremities of a diagoal (it associates to the letter that codes p + q decompositio the letter that codes 3 + q decompositio. If we cosider applicatio proj such that proj(a = proj(b = a ad proj(c = proj(d = c the, sice 3 is prime, proj(l,k+1 = l k+,3. We ca also uderstad the effect of this projectio (that preserves secod rage sommat by aalyzig decompositios : if p + q is coded by a a or a b letter, it correspods to two possible cases i which q is prime, ad so 3 + q decompositio, cotaiig two prime umbers, will be coded by a a letter ; if p + q is coded by a c or a d letter, it correspods to two possible cases i which q is compoud, ad so 3 + q decompositio, of the form prime + compoud will be coded by a c letter. We will also use i ext sectio projectio P of lie o top part of the first colum H,3 that associates to the letter that codes p + q decompositio the letter that codes 3 + p decompositio (let us ote that first rage sommat becomes secod rage sommat ; let us aalyze how such a projectio will affect decompositios : if p + q is coded by a a or c letter, it correspods to the two possible cases i which p is prime, the 3 + p decompositio, cotaiig two prime umbers will be coded by a a letter ; if p + q is coded by a b or d letter, it correspods to the two possibl cases i which p is compoud, the 3 + p decompositio, of the form prime + compoud will be coded by a c letter. 3 Computatios 1 We ote : X a ( the umber of s decompositios of the form prime + prime ; X b ( the umber of s decompositios of the form compoud + prime ; X c ( the umber of s decompositios of the form prime + compoud ; X d ( the umber of s decompositios of the form compoud + compoud. X a (, X b (, X c (, X d ( variables are coutig logical assertios umbers. X a ( + X b ( + X c ( + X d ( = is the umber of elemets of lie. Example : = 3 : X a (3 = #{3 + 31, 5 + 9, , } = X b (3 = #{ } = 1. X c (3 = #{7 + 7, } = 3

5 X d (3 = #{9 + 5} = 1 Let Y a ( (resp. Y c ( beig the umber of a letters (resp. c that appear i B,3. We recall that there are oly a ad c letters i first colum because it cotais letters associated with decompositios of the form 3 + x ad because 3 is prime. Example : Y a (3 = #{3 + 17, , 3 + 3, 3 + 9, } = 5 Y c (3 = #{3 + 1, 3 + 5, 3 + 7} = 3 3 Because of P projectio that is a bijectio, ad because of a, b, c, d letters defiitios, Y a ( = X a ( + X b ( ad Y c ( = X c ( + X d (. Thus, trivially, Y a ( + Y c ( = X a ( + X b ( + X c ( + X d ( =. Example : Y a (3 = #{3 + 17, , 3 + 3, 3 + 9, } X a (3 = #{3 + 31, 5 + 9, , } X b (3 = #{ } Y c (3 = #{3 + 1, 3 + 5, 3 + 7} X c (3 = #{7 + 7, } X d (3 = #{9 + 5} Let Z a ( (resp. Z c ( beig the umber of a letters (resp. c that appear i H,3. Example : Z a (3 = #{3 + 3, 3 + 5, 3 + 7, , } = 5 Z c (3 = #{3 + 9, } = Z a ( + Z c ( =. Remidig idetified properties Y a ( = X a ( + X b ( (1 Y c ( = X c ( + X d ( ( Y a ( + Y c ( = X a ( + X b ( + X c ( + X d ( = Z a ( + Z c ( = (3 (

6 Let us add four ew properties to those oes : X a ( + X c ( = Z a ( + δ p ( (5 with δ p ( equal to 1 whe is the double of a prime umber ad equal to 0 otherwise. X b ( + X d ( = Z c ( + δ c imp ( (6 with δ odd compoud ( equal to 1 whe is the double of a compoud odd umber ad equal to 0 otherwise (whe there exists k such that = k (doubles of eve umbers or whe is the double of a prime umber. Z c ( Y a ( = Y c ( Z a ( δ k+ ( (7 with δ k+ ( equal to 1 whe is the double of a odd umber ad 0 otherwise. Z c ( Y a ( = X d ( X a ( δ odd compoud ( (8 Properties 1, ad 3 come simply from projectio P s defiitio. Properties 5 ad 6 come simply from projectio P s defiitio. Oe ca otice a certai redudacy betwee the 3 booleas that are itroduced here δ p (, δ odd compoud ( ad δ k+ (. Trivial logical assertio (δ p ( δ odd compoud ( δ k+ ( is always verified. Demostratios.1 Utilitaries Let us demostrate that if is a odd umber double (i.e. of the form k+, the = +1. (k + k Ideed, the left part of the equality is equal to = = k. (k + k The right part of the equality is equal to + 1 = + 1 = (k = k. Let us demostrate that if is a eve umber double (i.e. of the k, the =. k k = k 1 ad = k 1.. Properties 7 ad 8..1 Property 7 Property 7 eociates that Z c ( Y a ( = X d ( X a ( δ odd compoud ( with δ odd compoud ( that equals 1 if is the double of a odd compoud iteger ad equals 0 otherwise. By defiitio, Z c ( couts the umber of decompositios of the form α = 3 + compoud with compoud strictly lesser tha / (let us call E this decompositios set. So Z c ( couts also the umber of s decompositios of the form β = compoud + y by bijectio of secod rage sommat of α decompositio o first rage sommat of β decompositio. But the umber of decompositios of the form compoud + y is equal to X b ( + X d ( by defiitio of those variables. By defiitio, Y a ( couts the umber of decompositios of the form γ = 3 + prime with prime strictly greater tha / (let us call F this decompositios set. So Y a ( couts also the umber of s decompositios of the form η = x + prime by bijectio of secod rage sommat of γ decompositio o secod rage sommat of η decompositio. But the umber of decompositios of the form x + prime is equal to X b ( + X a ( by defiitio of those variables. s decompositios of the form compoud + prime are at the same time i E ad i F. By computig Z c ( Y a (, we also obtai the value of X d ( X a ( by defiitio of what variables Y a (, Z c (, X d ( et X a ( cout. 5

7 .. Property 8 Let us demostrate that Z c ( Y a ( = Y c ( Z a ( δ k+ ( with δ k+ ( that equals 1 if is the double of a odd umber ( k 3, = k + ad 0 otherwise. We use a recurrece reasoig : i We iitialize recurreces accordig to the 3 types of umbers that must be studied : eve doubles de pairs (k, odd doubles (k + with the odd beig prime or compoud. Proprety 8 is true for = 1, 16 ad 18. Let us provide variables values i a array for those 3 eve umbers : Z c ( Y a ( Y c ( Z a ( δ k ii Property 8 is equivalet to Z a ( + Z c ( + δ k+ ( = Y a ( + Y c (. Four cases must be cosidered : two cases wherei is a odd s double (prime or compoud ad + is a eve s double ad two cases wherei is a eve s double ad + is a odd s double (prime or compoud. iia eve s double ad + prime s double : δ p δ odd compoud δ k We make the hypothesis that property 8 is true for, Z a ( + Z c ( + δ k+ ( = Y a ( + Y c ( (H Let us demostrate that it is true for +, Z a ( + + Z c ( + + δ k+ ( + = Y a ( + + Y c ( + (Ccl We have Z a ( + = Z a ( ad Z c ( + = Z c (. Let us remai property 3 cocerig Y s : Y a ( + Y c ( = (3 I (Ccl, we ca, par by our recurrece hypothesis ad by property (3, replace the left member of the equality by Z a ( + Z c ( + 1 ad the by Y a ( + Y c ( + 1 (by (H ad the by + 1 (by (3 that is equal to. But i (Ccl, we ca also replace the right member of the equality by because of property (3. We have for + a equality betwee left ad right sides, i.e. property 8 is verified by +. From the hypothesis that property is true for, we have iferred property is true for +. iib eve s double ad + odd compoud s double : δ p δ odd compoud δ k

8 Let us make the hypothesis that property 8 is true for, Z a ( + Z c ( + δ k+ ( = Y a ( + Y c ( (H Let us demostrate it is true for +, Z a ( + + Z c ( + + δ k+ ( + = Y a ( + + Y c ( + (Ccl We have Z a ( + = Z a ( ad Z c ( + = Z c (. We have Y a ( + = Y a ( + 1 ad Y c ( + = Y c (. Let us recall property 3 cocerig Y s : Y a ( + Y c ( = (3 I (Ccl, oe ca, by recurrece hypothesis ad by property 3, replace equality s left member by Z a ( + Z c ( + 1, the by Y a ( + Y c ( + 1 (because of (H, ad the by + 1 (because of (3 that is equal to. But i (Ccl, oe ca also replace equality s right member by because of Y a ( s ad Y c ( s evolutios. There is also for + equality betwee left ad right members of the equatio, i.e. property 8 is verified by +. From the hypothesis that property is true for, we deduced property is true for +. iic prime s double ad + eve s double : δ p δ odd compoud δ k Let us make the hypothesis that property 8 is true for, Z a ( + Z c ( + δ k+ ( = Y a ( + Y c ( (H Let us demostrate it is true for +, Z a ( + + Z c ( + + δ k+ ( + = Y a ( + + Y c ( + (Ccl We have Z a ( + = Z a ( + 1 et Z c ( + = Z c (. Let us recall property 3 cocerig Y s : Y a ( + Y c ( = (3 I (Ccl, oe ca, by recurrece hypothesis ad by property 3, replace equality s left member by Z a ( + Z c (+1 the by Y a (+Y c ( (because of (H, ad the by (because of (3 that is equal to. But i (Ccl, oe ca also replace equality s right member by because of property (3. There is also for + equality betwee left ad right members of the equatio, i.e. property 8 is verified by +. From the hypothesis that property is true for, we deduced property is true for +. 7

9 iid odd compoud s double ad + eve double : δ p δ odd compoud δ k Let us make the hypothesis that property 8 is true for, Z a ( + Z c ( + δ k+ ( = Y a ( + Y c ( (H Let us demostrate it is true for +, Z a ( + + Z c ( + + δ k+ ( + = Y a ( + + Y c ( + (Ccl We have Z a ( + = Z a ( et Z c ( + = Z c ( + 1. Let us recall property 3 cocerig Y s : Y a ( + Y c ( = (3 I (Ccl, oe ca, by recurrece hypothesis ad by property 3, replace equality s left member by Z a ( + Z c ( + 1 puis par Y a ( + Y c ( (because of (H the by (because of (3 that is equal to. But i (Ccl, oe ca also replace equality s right member by because of property (3. There is also for + equality betwee left ad right members of the equatio, i.e. property 8 is verified by +. From the hypothesis that property is true for, we deduced property is true for +. 5 Variables evolutio 5.1 Coutig decompositios of the forme 3 + p (called bottom-oes 1 Z a (+ = Z a ( ad Z c (+ = Z c ( whe is a eve double. Ideed, Z a ( (resp. Z c ( couts umber of primes (resp. odd compoud umbers strictly lesser tha ad there are as may as primes (resp. odd compoud umbers lesser tha a eve umber tha there are primes (resp. odd compoud umbers lesser tha its immediate successor. Z a ( + = Z a ( + 1 ad Z c ( + = Z c ( whe is a prime double ; 3 Z a ( + = Z a ( ad Z c ( + = Z c ( + 1 whe is a odd compoud umber s double. 5. Coutig decompositios of the form 3 + q (called top-oes I the case i which + is a odd s double, we oly add a umber to H +,3 iterval ; if this umber 1 is prime (resp. compoud, Y a ( + = Y a ( + 1 (resp. Y c ( + = Y c ( + 1. I the case i which + is a eve s double, we oly add a umber to the top extremity of the iterval ad we take off a umber at the bottom extremity of the iterval. From this fact, cases have to be studied. Let us study how the decompositios set H +,3 evoluate. if 1 ad are both primes, we take off at the bottom ad we put o at the top of the iterval H +,3 two letters of same kid, so Y a ( + = Y a ( ; if 1 is prime ad is compoud the Y a( + = Y a ( + 1 ; if 1 is compoud ad is prime the Y a( + = Y a ( 1 ; if 1 ad are both compoud, we take off at the bottom ad we put o at the top of the iterval H +,3 two letters of same kid, the Y a ( + = Y a (. 8

10 6 Usig variables gaps We are goig to show that X a ( ca ever be equal to 0 for C, i.e. that every eve umber C ca be writte as a sum of two primes, i.e. verifies biary Goldbach s cojecture. Let us preset i more details what variables Z a (, Z c (, Y a ( et Y c ( represet. Z a ( couts with a maximum error of the umber of prime umbers that are lesser tha or equal to ; Z a ( = π + δ Za ( (9 with δ Za ( equal to if is a prime s double ad equal to 1 otherwise ; Z c ( couts with a maximum error of 1 the umber of odd compoud umbers that are lesser tha or equal to ; Z c ( = π + δ Zc ( (10 with δ Zc ( equal to 1 if is a prime s double ad equal to 0 otherwise ; Y a ( cout with a maximum error of 1 the umber of prime umbers that are betwee ad ; Y a ( = π( π + δ Ya ( (11 with δ Ya ( equal to 1, 0 or 1 (δ Ya ( is equal to 0 whe 1 ad / are both primes or both compoud, δ Ya ( is equal to 1 whe 1 is prime while / is compoud, ad at last, δ Ya ( is equal to 1 whe 1 is compoud while / is prime ; Y c ( couts with a maximum error of 1 the umber of odd compoud umbers that are betwee ad ; Y c ( = π( + π + δ Yc ( (1 with δ Yc ( equal to 1, 0 or 1. δ Yc ( s values will be provided i a detailled way i sectio demostratig property Demostratios of properties 9, 10, 11 ad Property 9 : ivariat relatio cocerig Z a ( i Iitialisatio : (9 is true for = 1, 16, 18 ad 0. Ideed, we have : Z a ( π δ Za ( ii Let us demostrate by recurrece that if (9 is true for, it is also true for +. Let us make the hypothesis that property 9 is true for, Z a ( = π + δ Za ( (H 9

11 Let us demostrate it is true for +, ( + Z a ( + = π + δ Za ( + (Ccl Let us distiguish cases, as i paragraph... iia eve s double, + prime s double. ( + I that case, Z a ( + = Z a (, π Z a ( + = π + 1 ad δ Za ( = 1. = Z a (( = π + δ Za ( ( + = π 1 + δ Za ( ( + = π 1 1 ( + = π + δ Za ( + with δ Za ( + = as expected sice i that case, + is a prime s double. iib eve s double, + odd compoud s double. ( + I that case, Z a ( + = Z a (, π = π ad δ Za ( = 1. Z a ( + = Z a (( = π + δ Za ( ( + = π 1 ( + = π + δ Za ( + with δ Za ( + = 1 as expected sice i that case, + is a odd compoud s double. iic prime s double, + eve s double. ( + I that case, Z a ( + = Z a ( + 1, π = π ad δ Za ( =. Z a ( + = Z a (( + 1 = π + δ Za ( + 1 ( + = π + 1 ( + = π 1 ( + = π + δ Za ( + with δ Za ( + = 1 as expected sice i that case, + is a eve s double. iid odd compoud s double, + eve s double. ( + I that case, Z a ( + = Z a (, π = π ad δ Za ( = 1. Z a ( + = Z a (( = π + δ Za ( ( + = π 1 ( + = π + δ Za ( + 10

12 with δ Za ( + = 1 as expected sice i that case, + is a eve s double Property 10 : ivariat relatio cocerig Z c ( i Iitialisatio : (10 is true for = 1, 16, 18 ad 0. We have : Z c ( π δ Zc ( ad we verify that (10 is true for those umbers. ii Let us demostrate by recurrece that if (10 is true for, it is also true for +. Let us make the hypothesis that property 10 is true for, Z c ( = π + δ Zc ( (H Let us demostrate it is also true for +, Let us study our cases agai. + Z c ( + = π iia eve s double, + prime s double. + Das ce cas, Z c ( + = Z c (, = I that case, Z c ( + +, π + δ Zc ( + (Ccl ( + = π + 1 et δ Zc ( = 0. = Z c ( = π + δ Zc ( + ( + = π δ Zc ( + ( + = π ( + = π + δ Zc ( + with δ Zc ( + = 1 as expected sice i that case + is a prime s double. iib eve s double, + odd compoud s double. + ( + I that case, Z c ( + = Z c (, =, π Z c ( + = π et δ Zc ( = 0. = Z c ( = π + δ Zc ( + ( + = π + δ Zc ( + ( + = π ( + = π + δ Zc ( + with δ Zc ( + = 0 as expected i that case sice + is a odd compoud s double. 11

13 iic prime s double, + eve s double. + I that case, Z c ( + = Z c (, = Z c ( + + 1, π ( + = π et δ Zc ( = 1. = Z c ( = π + δ Zc ( + ( + = π 1 + δ Zc ( + ( + = π ( + = π + δ Zc ( + with δ Zc ( + = 0 as expected sice i that case + is a eve s double. iid odd compoud s double, + eve s double. + ( + I that case, Z c ( + = Z c ( + 1, = + 1, π Z c ( + = Z c ( = π + δ Zc ( + + = 1 π + ( + = π = π = π ad δ Zc ( = δ Zc ( + δ Zc ( + with δ Zc ( + = 0 as expected sice i that case + is a eve s double Property 11 : ivariat relatio cocerig Y a ( The objective is to demostrate why the ivariat relatio cocerig Y a ( ad that is : Y a ( = π( π + δ Ya ( is always verified. I this aim, 16 cases are to be distiguished, accordig to primality characters of umbers :, +, 1 ad +1, those primality characters havig a ifluece o Y a (, π(, π ad δ Ya ( evolutios. i recurreces iitialisatios : for 5 cases amog the 16 to be evisagd, there is a cotradictio (we called them C1 to C5 i bottom of the array below, cotradictio comig for cases C1 to C from the fact that oe ca t have simmultaeously / ad ( + / that are both prime sice they are cosecutive itegers ; C5 is a cotradictio because if 1 ad + 1 ar twi primes, their father (the eve umber betwee them ca be divided by 3 ad so the half of this father, that is /, ca t be a prime umber too ; this is represeted by crosses i first, third ad fourth colums. For the remaiig 11 cases, we must iitialize recurreces. I the array below, we provide values that permit easily to verify that for small itegers, property 11 is systematically verified. 1

14 / ( + / is prime is prime is prime is prime Y a ( π( π(/ δ Ya ( 1 x x x x x x x x x x x x x x x x x C1 x x x x C x x x C3 x x x C x x C5 x x x ii Let us demostrate by recurrece that if (11 is true for, it is true for + too. Let us make the hypothesis that property 11 is true for, Y a ( = π( π + δ Ya ( (H Let us demostrate it is true for +, ( + Y a ( + = π( + π + δ Ya ( + (Ccl Let us study the 11 cases listed i last sectio. iia + 1 compoud, ( + / compoud, / prime, 1 prime ( + I that case, π( + = π(, π = π, δ Ya ( = 0 ad Y a ( + = Y a (. Y a ( + = Y a ( = π( π + δ Ya ( ( + = π( + π + δ Ya ( + sice δ Ya ( + = 0 i that case. It implies that (Ccl is verified. iib + 1 prime, ( + / compoud, / compoud, 1 compoud ( + I that case, π( + = π( + 1, π = π, δ Ya ( = 0 ad Y a ( + = Y a (. Y a ( + = Y a ( = π( π + δ Ya ( ( + = π( + 1 π + δ Ya ( + sice δ Ya ( + = 1 i that case. This implies that (Ccl is verified. iic + 1 compoud, ( + / compoud, / prime, 1 compoud 13

15 ( + I that case, π( + = π(, π = π, δ Ya ( = 1 ad Y a ( + = Y a ( 1. Y a ( + = Y a ( 1 = π( π + δ Ya ( 1 ( + = π( + π ( + = π( + π + δ Ya ( + sice δ Ya ( + = 0 i that case. This implies that (Ccl is verified. iid + 1 prime, ( + / prime, / compoud, 1 prime ( + I that case, π( + = π( + 1, π = π + 1, δ Ya ( = 1 ad Y a ( + = Y a ( + 1. Y a ( + = Y a ( + 1 = π( π + δ Ya ( = π( + 1 π ( + = π( + π sice δ Ya ( + = 0 i that case. This implies that (Ccl is verified δ Ya ( + iie + 1 compoud, ( + / prime, / compoud, 1 prime ( + I that case, π( + = π(, π = π + 1, δ Ya ( = 1 ad Y a ( + = Y a ( + 1. Y a ( + = Y a ( + 1 = π( π + δ Ya ( + 1 ( + = π( + π ( + = π( + π + δ Ya ( + sice δ Ya ( + = 1 i that case. This implies that (Ccl is verified. iif + 1 prime, ( + / prime, / compoud, 1 compoud ( + I that case, π( + = π( + 1, π = π + 1, δ Ya ( = 0 ad Y a ( + = Y a (. Y a ( + = Y a ( = π( π + δ Ya ( + = π( + 1 π ( + = π( + π sice δ Ya ( + = 0 i that case. This implies that (Ccl is verified δ Ya ( + iig + 1 compoud, ( + / prime, / compoud, 1 compoud ( + I that case, π( + = π(, π = π + 1, δ Ya ( = 0 ad Y a ( + = Y a (. 1

16 Y a ( + = Y a ( = π( π + δ Ya ( ( + = π( + π ( + = π( + π + δ Ya ( + sice δ Ya ( + = 1 i that case. This implies that (Ccl is verified. iih + 1 prime, ( + / compoud, / compoud, 1 prime ( + I that case, π( + = π( + 1, π = π, δ Ya ( = 1 ad Y a ( + = Y a ( + 1. Y a ( + = Y a ( + 1 = π( π + δ Ya ( = π( + 1 π ( + = π( + π sice δ Ya ( + = 1 i that case. This implies that (Ccl is verified δ Ya ( + iii + 1 compoud, ( + / compoud, / compoud, 1 prime ( + I that case, π( + = π(, π = π, δ Ya ( = 1 ad Y a ( + = Y a ( + 1. Y a ( + = Y a ( + 1 = π( π + δ Ya ( + 1 ( + = π( + π ( + = π( + π + δ Ya ( + sice δ Ya ( + = 0 i that case. It implies that (Ccl is verified. iij + 1 prime, ( + / compoud, / prime, 1 compoud ( + I that case, π( + = π( + 1, π = π, δ Ya ( = 1 ad Y a ( + = Y a ( 1. Y a ( + = Y a ( 1 = π( π + δ Ya ( 1 + = π( + 1 π ( + = π( + π sice δ Ya ( + = 1 i that case. This implies that (Ccl is verified δ Ya ( + iik + 1 compoud, ( + / compoud, / compoud, 1 compoud ( + I that case, π( + = π(, π = π, δ Ya ( = 0 ad Y a ( + = Y a (. Y a ( + = Y a ( = π( π + δ Ya ( ( + = π( + π + δ Ya ( + sice δ Ya ( + = 0 i that case. This implies that (Ccl is verified. 15

17 6.1. Property 1 : ivariat relatio cocerig Y c ( The objective is to demostrate why the ivariat relatio cocerig Y c ( ad that is : Y c ( = π( + π + δ Yc ( is always verified. i recurreces iitializatios : / ( + / Y is prime is prime is prime is prime c ( π( π(/ δ Yc ( 1 x x x x x x x x x x x x x x x x x It is easy to verify that for small itegers, property 1 is well systematically verified. ii Let us demostrate by recurrece that if (1 is true for, it is true for +. Let us make the hypothesis that property 1 is true for, Y c ( = π( + π + δ Yc ( (H Let us demostrate it is true for +, + Y c ( + = π( + + π + + δ Yc ( + (Ccl We fid here aother time the 11 cases idetified for demostratig property 11 ; sometimes, there are two subcases, whe / is compoud, accordig to the fact that is a eve s double i which case + + = or that is a odd s double = + 1. I the array below are provided δ Yc ( s values accordig to the booleas that must be cosidered (i first colum, we idicate a umber of lie l i that will be useful i the followig ; a example of a small iteger is provided i peultimate colum, to fix ideas ; the letter correspodig to the recurrece type iterveig (cf after the array is provided i last colum : 16

18 1 + 1 / ( + / is prime is prime is prime is prime δ k+ ( δ Yc ( ex case l 1 x x x 0 1 a l x x 0 0 e l 3 x x 0 5 i l x 1 8 i l 5 x x x 1 b l 6 x x 1 36 f l 7 x x 0 66 j l 8 x 1 16 j l 9 x x 1 6 c l 10 x 1 56 g l 11 x 0 50 k l k l 13 x x x 0 60 d l 1 x x x 1 18 h l 15 x x h iia + 1 compoud, ( + / compoud, / prime, 1 prime ( + I that case, π( + = π(, π = π, δ Yc ( = 0 ad Y c ( + = Y c (. Y c ( + = Y c ( = π( + π + δ Yc ( + + = 1 π( + + π + + = π( + + π δ Yc ( + sice δ Yc ( + = 1 i that case ( + correspods tha to oe of the cases of lies l 6, l 8, l 10 or l 1 because beig a odd s double, + ca t be oe. This implies that (Ccl is verified. iib + 1 prime, ( + / compoud, / prime, 1 compoud ( + I that case, π( + = π( + 1, π = π, δ Yc ( = 1 ad Y c ( + = Y c ( + 1. Y c ( + = Y c ( + 1 = π( + π + δ Yc ( = 1 π( π + + = π( + + π δ Yc ( + sice δ Yc ( + = 0 i that case ( + correspods the to oe of the cases of lies l, l 13 or l 15 because beig a odd s double, + ca t be oe. This implies that (Ccl is verified. iic + 1 compoud, ( + / compoud, / prime, 1 compoud ( + I that case, π( + = π(, π = π, δ Yc ( = 1 ad Y c ( + = Y c ( + 1. Y c ( + = Y c ( + 1 = π( + π + δ Yc ( = 1 π( + + π + + = π( + + π δ Yc ( +

19 sice δ Yc ( + = 1 i that case ( + correspods the to oe of the cases of lies l 6, l 8, l 10 or l 1 because beig a odd s double, + ca t be oe. This implies that (Ccl is verified. iid + 1 prime, ( + / prime, / compoud, 1 prime ( + I that case, π( + = π( + 1, π = π + 1, δ Yc ( = 0 ad Y c ( + = Y c (. is madatory a eve s double. Y c ( + = Y c ( = π( + π + δ Yc ( + + = π( π + + = π( + + π δ Yc ( + sice δ Yc ( + = 0 i that case ( + correspods the to the case of lie l 1. This implies that (Ccl is verified. iie + 1 compoud, ( + / prime, / compoud, 1 prime ( + I that case, π( + = π(, π = π + 1, δ Yc ( = 0 ad Y c ( + = Y c (. is madatory a eve s double. Y c ( + = Y c ( = π( + π + δ Yc ( + ( + = π( + + π ( + = π( + + π + δ Yc ( + sice δ Yc (+ = 1 i that case (+ correspods the to oe of the cases of lies l 5 or l 9. This implies that (Ccl is verified. iif + 1 prime, ( + / prime, / compoud, 1 compoud ( + I that case, π( + = π( + 1, π = π + 1, δ Yc ( = 1 ad Y c ( + = Y c ( + 1. is madatory a eve s double. Y c ( + = Y c ( + 1 = π( + π + δ Yc ( = π( π + + = π( + + π δ Yc ( + sice δ Yc ( + = 0 i that case ( + correspods the to the case of lie l 1. This implies that (Ccl is verified. iig + 1 compoud, ( + / prime, / compoud, 1 compoud ( + I that case, π( + = π(, π = π + 1, δ Yc ( = 1 ad Y c ( + = Y c ( + 1. is madatory a eve s double. 18

20 Y c ( + = Y c ( + 1 = π( + π + δ Yc ( ( + = π( + + π ( + = π( + + π + δ Yc ( + sice δ Yc (+ = 1 i that case (+ correspods the to oe of the cases of lies l 5 or l 9. This implies that (Ccl is verified. iih + 1 prime, ( + / compoud, / compoud, 1 prime ( + I that case, π( + = π( + 1, π = π. iih1 eve s double, δ Yc ( = 0 ad Y c ( + = Y c (. Y c ( + = Y c ( = π( + π + δ Yc ( + + = π( π + + = π( + + π δ Yc ( + sice δ Yc ( + = 1 i that case ( + correspods the to oe of the cases of lies l 3 or l 1. This implies that (Ccl is verified. iih odd s double, δ Yc ( = 1 ad Y c ( + = Y c ( 1. Y c ( + = Y c ( 1 = π( + π + δ Yc ( = 1 π( π + + = π( + + π δ Yc ( + sice δ Yc ( + = 0 i that case ( + correspods the to oe of the cases of lies l, l, l 13 or l 15. This implies that (Ccl is verified. iii + 1 compoud, ( + / compoud, / compoud, 1 prime ( + I that case, π( + = π(, π = π. iii1 eve s double, δ Yc ( = 0 ad Y c ( + = Y c (. Y c ( + = Y c ( = π( + π + δ Yc ( + ( + = π( + + π ( + = π( + + π + δ Yc ( + sice δ Yc ( + = 0 i that case ( + correspods the to oe of the cases of lies l 7 or l 11. This implies that (Ccl is verified. iii odd s double, δ Yc ( = 1 ad Y c ( + = Y c ( 1. 19

21 Y c ( + = Y c ( 1 = π( + π + δ Yc ( = 1 π( + + π + + = π( + + π δ Yc ( + sice δ Yc ( + = 1 i that case ( + correspods the to oe of the cases of lies l 6, l 8, l 10 or l 1. This implies that (Ccl is verified. iij + 1 prime, ( + / compoud, / compoud, 1 compoud ( + I that case, π( + = π( + 1, π = π. iij1 eve s double, δ Yc ( = 1 ad Y c ( + = Y c ( + 1. Y c ( + = Y c ( + 1 = π( + π + δ Yc ( = π( π + + = π( + + π δ Yc ( + sice δ Yc ( + = 1 i that case ( + correspods the to oe of the cases of lies l 3 or l 1. This implies that (Ccl is verified. iij odd s double, δ Yc ( = 0 ad Y c ( + = Y c (. Y c ( + = Y c ( = π( + π + δ Yc ( + + = 1 π( π + + = π( + + π δ Yc ( + sice δ Yc ( + = 0 i that case ( + correspods the to oe of the cases of lies l, l, l 13 or l 15. This implies that (Ccl is verified. iik + 1 compoud, ( + / compoud, / compoud, 1 compoud ( + I that case, π( + = π(, π = π. iik1 eve s double, δ Yc ( = 1 ad Y c ( + = Y c ( + 1. Y c ( + = Y c ( + 1 = π( + π + δ Yc ( ( + = π( + + π ( + = π( + + π + δ Yc ( + sice δ Yc ( + = 0 i that case ( + correspods the to oe of the cases of lies l 7 or l 11. This implies that (Ccl is verified. iik odd compoud s double, δ Yc ( = 0 ad Y c ( + = Y c ( 0

22 Y c ( + = Y c ( = π( + π + δ Yc ( + + = 1 π( + + π + + = π( + + π δ Yc ( + sice δ Yc ( + = 1 i that case ( + correspods to cases i lies l 6, l 8, l 10 or l 1. This implies that (Ccl is verified. 6. Order relatios betwee variables 6..1 Study of iequalities Z c ( > Z a (, Z a ( > Y a ( ad Y c ( > Z c ( From properties 9 ad 10, we deduce that Z c ( Z a ( = equal to 1, or 3. π + δ Zc Z a ( with δ Zc Z a ( Z c ( Z a ( seems globally icreasig with little variatios. Oe observes that Z c ( > Z a ( for 0. For greater values, strict iequality will be always verified because is icreased much more ( ofte tha π. From properties 9 ad 11, we deduce that Z a ( Y a ( = π π( + δ Za Y a ( with δ Za Y a ( equal to 3,, 1 or 0. Z a ( Y a ( seems globally icreasig with little variatios. Oe observes that Z a ( > Y a ( for 36. From properties 10 ad 1, we deduce that Y c ( Z c ( = π π( + δ Yc Z c ( with δ Yc Z c ( equal to, 1, 0 or 1. Y c ( Z c ( is a icreasig fuctio of. Oe observes that Y c ( > Z c ( for. 6.. Strict order betwee variables Y a (, Y c (, Z a ( ad Z c ( Variables Y a (, Z a (, Z c ( et Y c ( are strictly ordered i the followig way : Y a ( < Z a ( < Z c ( < Y c ( for all 0. A picture showig variables gaps is provided below, that illustrates their itricatio : π( π(/ π(/ / π(/ / π( + π(/ Y a < Za < Zc < Y c Xa Xd From properties 9, 10, 11 ad 1, we deduce : Z c ( Y a ( = π( + δ Zc Y a ( with δ Zc Y a ( equal to 1, 0, 1 or ; 1

23 Y c ( Z a ( = π( + δ Yc Z a ( with δ Yc Z a ( equal to 0, 1, or 3 ; X d ( X a ( = Z c ( Y a ( + δ odd compoud ( = π( + δ Xd X a ( with δ Xd X a ( equal to 1, 0, 1 or. Oe ca also observe by program ( that : X c ( X b ( = π π( + δ Xc X b ( with δ Xc X b ( equal to, 1, 0 or 1. Also, oe ca deduce from equalities ( yet provided that : X a ( + X b ( = π( π + δ Xc X b ( with δ Xa+X b ( very small. The fuctio π( that appear i right members of three first equalities above is globally icreasig with little variatios. It s equal to 0 for = 1. + Sice = + 1 whe is a eve s double (i.e. for oe eve umber each two while π( + = π( + 1 whe + 1 is prime (far less ofte tha for oe eve umber each two, for all greater tha a small value (i.e. > 1, we will always have π( > Study of iequality X a ( > 0 To be sure that X a ( would ever be equal to 0, we should have to show that sice a certai value of, the iequality X d ( > π( + is always verified. Ideed, this iequality, combied with the ivariat X d ( X a ( = π( + δ Xd X a (, would have as cosequece that X a ( would be always strictly positive. We observe that it seems that for 30. X d ( > π( + Ituitively, oe uderstads what process is at work : the umber of compoud umbers becomes so big comparatively to the umber of prime umbers that each compoud umber has may more chaces to be the complemetary to of aother compoud umber rather tha a prime oe. It is thus oe ca observe X d ( becomes quickly greater tha the sum X b ( + X c (, i which each term is greater tha X a (. 6. Subsidiary exercize Let us propose as a exercize that we must match (with a bijectio umbers of two sets ; i the first set cotaiig k umbers, A are compoud ad k A are prime while i the secod set, cotaiig also k umbers, B umbers are compoud while k B are prime. If A k/ ad B k/, the matchig ca put i bijectio two umbers that are ot madatory compoud. But as soo as A > k/ ad B > k/, some matchig must ecessarily put i bijectio a compoud umber from the first set with a compoud umber of the secod set. We ca easily uderstad thaks to the drawig below that the umber of matchigs associatig bijectively two compoud umbers is ecessarily greater tha A + B k. A B

24 6.5 X a ( costraied to be strictly positive Amog odd umbers that are betwee 3 ad /, very quickly, more tha a half are compoud. O the same maer, amog odd umbers that are betwee / ad 3, very quickly, more tha a half are compoud. By this way, there are rather quickly both more tha a half of umbers that ca be a s decompositio first rage sommat that are compoud ad more tha a half of umbers that ca be a s decompositio secod rage sommat that are compoud too (i.e. Y c ( > ad Z c ( > as soo 8 8 as. Ideed, for, π( + π > ad π >. 8 8 X d ( coutig s decompositios of the form compoud+compoud is the systematically greater tha Y c ( + Z c ( (cf subsidiary exercize of precedet sectio ad will remai greater tha it defiitively, which esures that X a ( will be always strictly positive, which proves biary Goldbach s cojecture. 3

The Goldbach conjectures

The Goldbach conjectures The Goldbach cojectures Jamel Ghaouchi To cite this versio: Jamel Ghaouchi. The Goldbach cojectures. 2015. HAL Id: hal-01243303 https://hal.archives-ouvertes.fr/hal-01243303 Submitted o

More information

Improvement of Generic Attacks on the Rank Syndrome Decoding Problem

Improvement of Generic Attacks on the Rank Syndrome Decoding Problem Improvemet of Geeric Attacks o the Rak Sydrome Decodig Problem Nicolas Arago, Philippe Gaborit, Adrie Hauteville, Jea-Pierre Tillich To cite this versio: Nicolas Arago, Philippe Gaborit, Adrie Hauteville,

More information

TURBULENT FUNCTIONS AND SOLVING THE NAVIER-STOKES EQUATION BY FOURIER SERIES

TURBULENT FUNCTIONS AND SOLVING THE NAVIER-STOKES EQUATION BY FOURIER SERIES TURBULENT FUNCTIONS AND SOLVING THE NAVIER-STOKES EQUATION BY FOURIER SERIES M Sghiar To cite this versio: M Sghiar. TURBULENT FUNCTIONS AND SOLVING THE NAVIER-STOKES EQUATION BY FOURIER SERIES. Iteratioal

More information

On the behavior at infinity of an integrable function

On the behavior at infinity of an integrable function O the behavior at ifiity of a itegrable fuctio Emmauel Lesige To cite this versio: Emmauel Lesige. O the behavior at ifiity of a itegrable fuctio. The America Mathematical Mothly, 200, 7 (2), pp.75-8.

More information

Optimization Results for a Generalized Coupon Collector Problem

Optimization Results for a Generalized Coupon Collector Problem Optimizatio Results for a Geeralized Coupo Collector Problem Emmauelle Aceaume, Ya Busel, E Schulte-Geers, B Sericola To cite this versio: Emmauelle Aceaume, Ya Busel, E Schulte-Geers, B Sericola. Optimizatio

More information

A Simple Proof of the Shallow Packing Lemma

A Simple Proof of the Shallow Packing Lemma A Simple Proof of the Shallow Packig Lemma Nabil Mustafa To cite this versio: Nabil Mustafa. A Simple Proof of the Shallow Packig Lemma. Discrete ad Computatioal Geometry, Spriger Verlag, 06, 55 (3), pp.739-743.

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

Explicit Maximal and Minimal Curves over Finite Fields of Odd Characteristics

Explicit Maximal and Minimal Curves over Finite Fields of Odd Characteristics Explicit Maximal ad Miimal Curves over Fiite Fields of Odd Characteristics Ferruh Ozbudak, Zülfükar Saygı To cite this versio: Ferruh Ozbudak, Zülfükar Saygı. Explicit Maximal ad Miimal Curves over Fiite

More information

Math 609/597: Cryptography 1

Math 609/597: Cryptography 1 Math 609/597: Cryptography 1 The Solovay-Strasse Primality Test 12 October, 1993 Burt Roseberg Revised: 6 October, 2000 1 Itroductio We describe the Solovay-Strasse primality test. There is quite a bit

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

Gini Index and Polynomial Pen s Parade

Gini Index and Polynomial Pen s Parade Gii Idex ad Polyomial Pe s Parade Jules Sadefo Kamdem To cite this versio: Jules Sadefo Kamdem. Gii Idex ad Polyomial Pe s Parade. 2011. HAL Id: hal-00582625 https://hal.archives-ouvertes.fr/hal-00582625

More information

SOME TRIBONACCI IDENTITIES

SOME TRIBONACCI IDENTITIES Mathematics Today Vol.7(Dec-011) 1-9 ISSN 0976-38 Abstract: SOME TRIBONACCI IDENTITIES Shah Devbhadra V. Sir P.T.Sarvajaik College of Sciece, Athwalies, Surat 395001. e-mail : drdvshah@yahoo.com The sequece

More information

An analog of the arithmetic triangle obtained by replacing the products by the least common multiples

An analog of the arithmetic triangle obtained by replacing the products by the least common multiples arxiv:10021383v2 [mathnt] 9 Feb 2010 A aalog of the arithmetic triagle obtaied by replacig the products by the least commo multiples Bair FARHI bairfarhi@gmailcom MSC: 11A05 Keywords: Al-Karaji s triagle;

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

The Growth of Functions. Theoretical Supplement

The Growth of Functions. Theoretical Supplement The Growth of Fuctios Theoretical Supplemet The Triagle Iequality The triagle iequality is a algebraic tool that is ofte useful i maipulatig absolute values of fuctios. The triagle iequality says that

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

Objective Mathematics

Objective Mathematics . If sum of '' terms of a sequece is give by S Tr ( )( ), the 4 5 67 r (d) 4 9 r is equal to : T. Let a, b, c be distict o-zero real umbers such that a, b, c are i harmoic progressio ad a, b, c are i arithmetic

More information

Coefficient of variation and Power Pen s parade computation

Coefficient of variation and Power Pen s parade computation Coefficiet of variatio ad Power Pe s parade computatio Jules Sadefo Kamdem To cite this versio: Jules Sadefo Kamdem. Coefficiet of variatio ad Power Pe s parade computatio. 20. HAL Id: hal-0058658

More information

Proof of Goldbach s Conjecture. Reza Javaherdashti

Proof of Goldbach s Conjecture. Reza Javaherdashti Proof of Goldbach s Cojecture Reza Javaherdashti farzijavaherdashti@gmail.com Abstract After certai subsets of Natural umbers called Rage ad Row are defied, we assume (1) there is a fuctio that ca produce

More information

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018 CSE 353 Discrete Computatioal Structures Sprig 08 Sequeces, Mathematical Iductio, ad Recursio (Chapter 5, Epp) Note: some course slides adopted from publisher-provided material Overview May mathematical

More information

CHAPTER 10 INFINITE SEQUENCES AND SERIES

CHAPTER 10 INFINITE SEQUENCES AND SERIES CHAPTER 10 INFINITE SEQUENCES AND SERIES 10.1 Sequeces 10.2 Ifiite Series 10.3 The Itegral Tests 10.4 Compariso Tests 10.5 The Ratio ad Root Tests 10.6 Alteratig Series: Absolute ad Coditioal Covergece

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

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

MA131 - Analysis 1. Workbook 2 Sequences I

MA131 - Analysis 1. Workbook 2 Sequences I MA3 - Aalysis Workbook 2 Sequeces I Autum 203 Cotets 2 Sequeces I 2. Itroductio.............................. 2.2 Icreasig ad Decreasig Sequeces................ 2 2.3 Bouded Sequeces..........................

More information

1. By using truth tables prove that, for all statements P and Q, the statement

1. By using truth tables prove that, for all statements P and Q, the statement Author: Satiago Salazar Problems I: Mathematical Statemets ad Proofs. By usig truth tables prove that, for all statemets P ad Q, the statemet P Q ad its cotrapositive ot Q (ot P) are equivalet. I example.2.3

More information

Sequences I. Chapter Introduction

Sequences I. Chapter Introduction Chapter 2 Sequeces I 2. Itroductio A sequece is a list of umbers i a defiite order so that we kow which umber is i the first place, which umber is i the secod place ad, for ay atural umber, we kow which

More information

A note on the sum of uniform random variables

A note on the sum of uniform random variables A ote o the sum of uiform radom variables Aiello Buoocore, Erica Pirozzi, Luigia Caputo To cite this versio: Aiello Buoocore, Erica Pirozzi, Luigia Caputo. A ote o the sum of uiform radom variables. Statistics

More information

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer. 6 Itegers Modulo I Example 2.3(e), we have defied the cogruece of two itegers a,b with respect to a modulus. Let us recall that a b (mod ) meas a b. We have proved that cogruece is a equivalece relatio

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

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

Section 5.1 The Basics of Counting

Section 5.1 The Basics of Counting 1 Sectio 5.1 The Basics of Coutig Combiatorics, the study of arragemets of objects, is a importat part of discrete mathematics. I this chapter, we will lear basic techiques of coutig which has a lot of

More information

Simple Polygons of Maximum Perimeter Contained in a Unit Disk

Simple Polygons of Maximum Perimeter Contained in a Unit Disk Discrete Comput Geom (009) 1: 08 15 DOI 10.1007/s005-008-9093-7 Simple Polygos of Maximum Perimeter Cotaied i a Uit Disk Charles Audet Pierre Hase Frédéric Messie Received: 18 September 007 / Revised:

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

arxiv: v1 [math.nt] 10 Dec 2014

arxiv: v1 [math.nt] 10 Dec 2014 A DIGITAL BINOMIAL THEOREM HIEU D. NGUYEN arxiv:42.38v [math.nt] 0 Dec 204 Abstract. We preset a triagle of coectios betwee the Sierpisi triagle, the sum-of-digits fuctio, ad the Biomial Theorem via a

More information

Recurrence Relations

Recurrence Relations Recurrece Relatios Aalysis of recursive algorithms, such as: it factorial (it ) { if (==0) retur ; else retur ( * factorial(-)); } Let t be the umber of multiplicatios eeded to calculate factorial(). The

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

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

A Block Cipher Using Linear Congruences

A Block Cipher Using Linear Congruences Joural of Computer Sciece 3 (7): 556-560, 2007 ISSN 1549-3636 2007 Sciece Publicatios A Block Cipher Usig Liear Cogrueces 1 V.U.K. Sastry ad 2 V. Jaaki 1 Academic Affairs, Sreeidhi Istitute of Sciece &

More information

Proof of Fermat s Last Theorem by Algebra Identities and Linear Algebra

Proof of Fermat s Last Theorem by Algebra Identities and Linear Algebra Proof of Fermat s Last Theorem by Algebra Idetities ad Liear Algebra Javad Babaee Ragai Youg Researchers ad Elite Club, Qaemshahr Brach, Islamic Azad Uiversity, Qaemshahr, Ira Departmet of Civil Egieerig,

More information

Average-Case Analysis of QuickSort

Average-Case Analysis of QuickSort Average-Case Aalysis of QuickSort Comp 363 Fall Semester 003 October 3, 003 The purpose of this documet is to itroduce the idea of usig recurrece relatios to do average-case aalysis. The average-case ruig

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

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

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

Find a formula for the exponential function whose graph is given , 1 2,16 1, 6

Find a formula for the exponential function whose graph is given , 1 2,16 1, 6 Math 4 Activity (Due by EOC Apr. ) Graph the followig epoetial fuctios by modifyig the graph of f. Fid the rage of each fuctio.. g. g. g 4. g. g 6. g Fid a formula for the epoetial fuctio whose graph is

More information

Ma 530 Introduction to Power Series

Ma 530 Introduction to Power Series Ma 530 Itroductio to Power Series Please ote that there is material o power series at Visual Calculus. Some of this material was used as part of the presetatio of the topics that follow. What is a Power

More information

Random Models. Tusheng Zhang. February 14, 2013

Random Models. Tusheng Zhang. February 14, 2013 Radom Models Tusheg Zhag February 14, 013 1 Radom Walks Let me describe the model. Radom walks are used to describe the motio of a movig particle (object). Suppose that a particle (object) moves alog the

More information

Measure and Measurable Functions

Measure and Measurable Functions 3 Measure ad Measurable Fuctios 3.1 Measure o a Arbitrary σ-algebra Recall from Chapter 2 that the set M of all Lebesgue measurable sets has the followig properties: R M, E M implies E c M, E M for N implies

More information

4.3 Growth Rates of Solutions to Recurrences

4.3 Growth Rates of Solutions to Recurrences 4.3. GROWTH RATES OF SOLUTIONS TO RECURRENCES 81 4.3 Growth Rates of Solutios to Recurreces 4.3.1 Divide ad Coquer Algorithms Oe of the most basic ad powerful algorithmic techiques is divide ad coquer.

More information

Largest families without an r-fork

Largest families without an r-fork Largest families without a r-for Aalisa De Bois Uiversity of Salero Salero, Italy debois@math.it Gyula O.H. Katoa Réyi Istitute Budapest, Hugary ohatoa@reyi.hu Itroductio Let [] = {,,..., } be a fiite

More information

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series.

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series. .3 Covergece Theorems of Fourier Series I this sectio, we preset the covergece of Fourier series. A ifiite sum is, by defiitio, a limit of partial sums, that is, a cos( kx) b si( kx) lim a cos( kx) b si(

More information

Lecture Notes for Analysis Class

Lecture Notes for Analysis Class Lecture Notes for Aalysis Class Topological Spaces A topology for a set X is a collectio T of subsets of X such that: (a) X ad the empty set are i T (b) Uios of elemets of T are i T (c) Fiite itersectios

More information

Testing the number of parameters with multidimensional MLP

Testing the number of parameters with multidimensional MLP Testig the umber of parameters with multidimesioal MLP Joseph Rykiewicz To cite this versio: Joseph Rykiewicz. Testig the umber of parameters with multidimesioal MLP. ASMDA 2005, 2005, Brest, Frace. pp.561-568,

More information

1 Introduction. 1.1 Notation and Terminology

1 Introduction. 1.1 Notation and Terminology 1 Itroductio You have already leared some cocepts of calculus such as limit of a sequece, limit, cotiuity, derivative, ad itegral of a fuctio etc. Real Aalysis studies them more rigorously usig a laguage

More information

( a) ( ) 1 ( ) 2 ( ) ( ) 3 3 ( ) =!

( a) ( ) 1 ( ) 2 ( ) ( ) 3 3 ( ) =! .8,.9: Taylor ad Maclauri Series.8. Although we were able to fid power series represetatios for a limited group of fuctios i the previous sectio, it is ot immediately obvious whether ay give fuctio has

More information

Topic 5: Basics of Probability

Topic 5: Basics of Probability Topic 5: Jue 1, 2011 1 Itroductio Mathematical structures lie Euclidea geometry or algebraic fields are defied by a set of axioms. Mathematical reality is the developed through the itroductio of cocepts

More information

Injections, Surjections, and the Pigeonhole Principle

Injections, Surjections, and the Pigeonhole Principle Ijectios, Surjectios, ad the Pigeohole Priciple 1 (10 poits Here we will come up with a sloppy boud o the umber of parethesisestigs (a (5 poits Describe a ijectio from the set of possible ways to est pairs

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

MIDTERM 3 CALCULUS 2. Monday, December 3, :15 PM to 6:45 PM. Name PRACTICE EXAM SOLUTIONS

MIDTERM 3 CALCULUS 2. Monday, December 3, :15 PM to 6:45 PM. Name PRACTICE EXAM SOLUTIONS MIDTERM 3 CALCULUS MATH 300 FALL 08 Moday, December 3, 08 5:5 PM to 6:45 PM Name PRACTICE EXAM S Please aswer all of the questios, ad show your work. You must explai your aswers to get credit. You will

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

A PROOF OF THE TWIN PRIME CONJECTURE AND OTHER POSSIBLE APPLICATIONS

A PROOF OF THE TWIN PRIME CONJECTURE AND OTHER POSSIBLE APPLICATIONS A PROOF OF THE TWI PRIME COJECTURE AD OTHER POSSIBLE APPLICATIOS by PAUL S. BRUCKMA 38 Frot Street, #3 aaimo, BC V9R B8 (Caada) e-mail : pbruckma@hotmail.com ABSTRACT : A elemetary proof of the Twi Prime

More information

It is often useful to approximate complicated functions using simpler ones. We consider the task of approximating a function by a polynomial.

It is often useful to approximate complicated functions using simpler ones. We consider the task of approximating a function by a polynomial. Taylor Polyomials ad Taylor Series It is ofte useful to approximate complicated fuctios usig simpler oes We cosider the task of approximatig a fuctio by a polyomial If f is at least -times differetiable

More information

First selection test, May 1 st, 2008

First selection test, May 1 st, 2008 First selectio test, May st, 2008 Problem. Let p be a prime umber, p 3, ad let a, b be iteger umbers so that p a + b ad p 2 a 3 + b 3. Show that p 2 a + b or p 3 a 3 + b 3. Problem 2. Prove that for ay

More information

Lecture 10: Mathematical Preliminaries

Lecture 10: Mathematical Preliminaries Lecture : Mathematical Prelimiaries Obective: Reviewig mathematical cocepts ad tools that are frequetly used i the aalysis of algorithms. Lecture # Slide # I this

More information

Math 2784 (or 2794W) University of Connecticut

Math 2784 (or 2794W) University of Connecticut ORDERS OF GROWTH PAT SMITH Math 2784 (or 2794W) Uiversity of Coecticut Date: Mar. 2, 22. ORDERS OF GROWTH. Itroductio Gaiig a ituitive feel for the relative growth of fuctios is importat if you really

More information

Seunghee Ye Ma 8: Week 5 Oct 28

Seunghee Ye Ma 8: Week 5 Oct 28 Week 5 Summary I Sectio, we go over the Mea Value Theorem ad its applicatios. I Sectio 2, we will recap what we have covered so far this term. Topics Page Mea Value Theorem. Applicatios of the Mea Value

More information

Part A, for both Section 200 and Section 501

Part A, for both Section 200 and Section 501 Istructios Please write your solutios o your ow paper. These problems should be treated as essay questios. A problem that says give a example or determie requires a supportig explaatio. I all problems,

More information

Chapter IV Integration Theory

Chapter IV Integration Theory Chapter IV Itegratio Theory Lectures 32-33 1. Costructio of the itegral I this sectio we costruct the abstract itegral. As a matter of termiology, we defie a measure space as beig a triple (, A, µ), where

More information

Average case quantum lower bounds for computing the boolean mean

Average case quantum lower bounds for computing the boolean mean Average case quatum lower bouds for computig the boolea mea A. Papageorgiou Departmet of Computer Sciece Columbia Uiversity New York, NY 1007 Jue 003 Abstract We study the average case approximatio of

More information

# fixed points of g. Tree to string. Repeatedly select the leaf with the smallest label, write down the label of its neighbour and remove the leaf.

# fixed points of g. Tree to string. Repeatedly select the leaf with the smallest label, write down the label of its neighbour and remove the leaf. Combiatorics Graph Theory Coutig labelled ad ulabelled graphs There are 2 ( 2) labelled graphs of order. The ulabelled graphs of order correspod to orbits of the actio of S o the set of labelled graphs.

More information

Chapter 0. Review of set theory. 0.1 Sets

Chapter 0. Review of set theory. 0.1 Sets Chapter 0 Review of set theory Set theory plays a cetral role i the theory of probability. Thus, we will ope this course with a quick review of those otios of set theory which will be used repeatedly.

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

SEQUENCES AND SERIES

SEQUENCES AND SERIES Sequeces ad 6 Sequeces Ad SEQUENCES AND SERIES Successio of umbers of which oe umber is desigated as the first, other as the secod, aother as the third ad so o gives rise to what is called a sequece. Sequeces

More information

A Simplified Binet Formula for k-generalized Fibonacci Numbers

A Simplified Binet Formula for k-generalized Fibonacci Numbers A Simplified Biet Formula for k-geeralized Fiboacci Numbers Gregory P. B. Dresde Departmet of Mathematics Washigto ad Lee Uiversity Lexigto, VA 440 dresdeg@wlu.edu Zhaohui Du Shaghai, Chia zhao.hui.du@gmail.com

More information

Sequence A sequence is a function whose domain of definition is the set of natural numbers.

Sequence A sequence is a function whose domain of definition is the set of natural numbers. Chapter Sequeces Course Title: Real Aalysis Course Code: MTH3 Course istructor: Dr Atiq ur Rehma Class: MSc-I Course URL: wwwmathcityorg/atiq/fa8-mth3 Sequeces form a importat compoet of Mathematical Aalysis

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

The Borel hierarchy classifies subsets of the reals by their topological complexity. Another approach is to classify them by size.

The Borel hierarchy classifies subsets of the reals by their topological complexity. Another approach is to classify them by size. Lecture 7: Measure ad Category The Borel hierarchy classifies subsets of the reals by their topological complexity. Aother approach is to classify them by size. Filters ad Ideals The most commo measure

More information

CSE 1400 Applied Discrete Mathematics Number Theory and Proofs

CSE 1400 Applied Discrete Mathematics Number Theory and Proofs CSE 1400 Applied Discrete Mathematics Number Theory ad Proofs Departmet of Computer Scieces College of Egieerig Florida Tech Sprig 01 Problems for Number Theory Backgroud Number theory is the brach of

More information

The log-behavior of n p(n) and n p(n)/n

The log-behavior of n p(n) and n p(n)/n Ramauja J. 44 017, 81-99 The log-behavior of p ad p/ William Y.C. Che 1 ad Ke Y. Zheg 1 Ceter for Applied Mathematics Tiaji Uiversity Tiaji 0007, P. R. Chia Ceter for Combiatorics, LPMC Nakai Uivercity

More information

Stochastic Matrices in a Finite Field

Stochastic Matrices in a Finite Field Stochastic Matrices i a Fiite Field Abstract: I this project we will explore the properties of stochastic matrices i both the real ad the fiite fields. We first explore what properties 2 2 stochastic matrices

More information

Section 4.3. Boolean functions

Section 4.3. Boolean functions Sectio 4.3. Boolea fuctios Let us take aother look at the simplest o-trivial Boolea algebra, ({0}), the power-set algebra based o a oe-elemet set, chose here as {0}. This has two elemets, the empty set,

More information

Machine Learning Theory Tübingen University, WS 2016/2017 Lecture 12

Machine Learning Theory Tübingen University, WS 2016/2017 Lecture 12 Machie Learig Theory Tübige Uiversity, WS 06/07 Lecture Tolstikhi Ilya Abstract I this lecture we derive risk bouds for kerel methods. We will start by showig that Soft Margi kerel SVM correspods to miimizig

More information

IP Reference guide for integer programming formulations.

IP Reference guide for integer programming formulations. IP Referece guide for iteger programmig formulatios. by James B. Orli for 15.053 ad 15.058 This documet is iteded as a compact (or relatively compact) guide to the formulatio of iteger programs. For more

More information

Math F215: Induction April 7, 2013

Math F215: Induction April 7, 2013 Math F25: Iductio April 7, 203 Iductio is used to prove that a collectio of statemets P(k) depedig o k N are all true. A statemet is simply a mathematical phrase that must be either true or false. Here

More information

Mathematical Induction

Mathematical Induction Mathematical Iductio Itroductio Mathematical iductio, or just iductio, is a proof techique. Suppose that for every atural umber, P() is a statemet. We wish to show that all statemets P() are true. I a

More information

Summary: Congruences. j=1. 1 Here we use the Mathematica syntax for the function. In Maple worksheets, the function

Summary: Congruences. j=1. 1 Here we use the Mathematica syntax for the function. In Maple worksheets, the function Summary: Cogrueces j whe divided by, ad determiig the additive order of a iteger mod. As described i the Prelab sectio, cogrueces ca be thought of i terms of coutig with rows, ad for some questios this

More information

~W I F

~W I F A FIBONACCI PROPERTY OF WYTHOFF PAIRS ROBERT SILBER North Carolia State Uiversity, Raleigh, North Carolia 27607 I this paper we poit out aother of those fasciatig "coicideces" which are so characteristically

More information

Chapter 4. Fourier Series

Chapter 4. Fourier Series Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,

More information

Lecture 23 Rearrangement Inequality

Lecture 23 Rearrangement Inequality Lecture 23 Rearragemet Iequality Holde Lee 6/4/ The Iequalities We start with a example Suppose there are four boxes cotaiig $0, $20, $50 ad $00 bills, respectively You may take 2 bills from oe box, 3

More information

Math 104: Homework 2 solutions

Math 104: Homework 2 solutions Math 04: Homework solutios. A (0, ): Sice this is a ope iterval, the miimum is udefied, ad sice the set is ot bouded above, the maximum is also udefied. if A 0 ad sup A. B { m + : m, N}: This set does

More information

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014.

Product measures, Tonelli s and Fubini s theorems For use in MAT3400/4400, autumn 2014 Nadia S. Larsen. Version of 13 October 2014. Product measures, Toelli s ad Fubii s theorems For use i MAT3400/4400, autum 2014 Nadia S. Larse Versio of 13 October 2014. 1. Costructio of the product measure The purpose of these otes is to preset the

More information

Sequences of Definite Integrals, Factorials and Double Factorials

Sequences of Definite Integrals, Factorials and Double Factorials 47 6 Joural of Iteger Sequeces, Vol. 8 (5), Article 5.4.6 Sequeces of Defiite Itegrals, Factorials ad Double Factorials Thierry Daa-Picard Departmet of Applied Mathematics Jerusalem College of Techology

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

(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

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

CSE 191, Class Note 05: Counting Methods Computer Sci & Eng Dept SUNY Buffalo

CSE 191, Class Note 05: Counting Methods Computer Sci & Eng Dept SUNY Buffalo Coutig Methods CSE 191, Class Note 05: Coutig Methods Computer Sci & Eg Dept SUNY Buffalo c Xi He (Uiversity at Buffalo CSE 191 Discrete Structures 1 / 48 Need for Coutig The problem of coutig the umber

More information

CS 270 Algorithms. Oliver Kullmann. Growth of Functions. Divide-and- Conquer Min-Max- Problem. Tutorial. Reading from CLRS for week 2

CS 270 Algorithms. Oliver Kullmann. Growth of Functions. Divide-and- Conquer Min-Max- Problem. Tutorial. Reading from CLRS for week 2 Geeral remarks Week 2 1 Divide ad First we cosider a importat tool for the aalysis of algorithms: Big-Oh. The we itroduce a importat algorithmic paradigm:. We coclude by presetig ad aalysig two examples.

More information

Recursive Algorithms. Recurrences. Recursive Algorithms Analysis

Recursive Algorithms. Recurrences. Recursive Algorithms Analysis Recursive Algorithms Recurreces Computer Sciece & Egieerig 35: Discrete Mathematics Christopher M Bourke cbourke@cseuledu A recursive algorithm is oe i which objects are defied i terms of other objects

More information

The Riemann Zeta Function

The Riemann Zeta Function Physics 6A Witer 6 The Riema Zeta Fuctio I this ote, I will sketch some of the mai properties of the Riema zeta fuctio, ζ(x). For x >, we defie ζ(x) =, x >. () x = For x, this sum diverges. However, we

More information

#A51 INTEGERS 14 (2014) MULTI-POLY-BERNOULLI-STAR NUMBERS AND FINITE MULTIPLE ZETA-STAR VALUES

#A51 INTEGERS 14 (2014) MULTI-POLY-BERNOULLI-STAR NUMBERS AND FINITE MULTIPLE ZETA-STAR VALUES #A5 INTEGERS 4 (24) MULTI-POLY-BERNOULLI-STAR NUMBERS AND FINITE MULTIPLE ZETA-STAR VALUES Kohtaro Imatomi Graduate School of Mathematics, Kyushu Uiversity, Nishi-ku, Fukuoka, Japa k-imatomi@math.kyushu-u.ac.p

More information

Lecture 9: Hierarchy Theorems

Lecture 9: Hierarchy Theorems IAS/PCMI Summer Sessio 2000 Clay Mathematics Udergraduate Program Basic Course o Computatioal Complexity Lecture 9: Hierarchy Theorems David Mix Barrigto ad Alexis Maciel July 27, 2000 Most of this lecture

More information