Stabilization Time for a Type of Evolution on Binary Strings

Size: px
Start display at page:

Download "Stabilization Time for a Type of Evolution on Binary Strings"

Transcription

1 J Theo Pobab 05 8: DOI 0.007/s y Stabilizatio Time fo a Type of Evolutio o Biay Stigs Jacob Fuk Mihai Nica Michael Noyes Received: 4 Febuay 03 / Revised: 30 Mach 03 / Published olie: Septembe 03 Spige Sciece+Busiess Media New Yok 03 Abstact We coside a type of evolutio o {0, } which occus i discete steps wheeby at each step, we eplace evey occuece of the substig 0 by 0. Afte at most steps, we will each a stig of the fom 00 00, which we will call a stabilized stig, ad we call the umbe of steps equied the stabilizatio time. If we choose each bit of the stig idepedetly to be a with pobability p ad a 0 with pobability p, the the stabilizatio time of a stig i {0, } is a adom vaiable with values i {0,,... }. We study the asymptotic behavio of this adom vaiable as, ad we detemie its limit distibutio i the weak sese afte suitable ceteig ad scalig. Whe p =, the limit distibutio is Gaussia. Whe p =, the limit distibutio is a χ 3 distibutio. We also explicitly compute the limit distibutio i a theshold settig whee p = p vaies with give by p = + λ/ fo λ>0afixed paamete. This aalysis gives ise to a oe paamete family of distibutios that fit betwee a χ 3 ad a Gaussia distibutio. The tools used i ou agumets ae a atual itepetatio of stigs i {0, } as Youg diagams, ad a coectio with the kow distibutio fo the maximal height of a Bowia path o [0, ]. J. Fuk Depatmet of Opeatios Reseach ad Fiacial Egieeig, Piceto Uivesity, Sheed Hall, Chalto Steet, Piceto, NJ 08544, USA jjfuk@piceto.edu M. Nica B Couat Istitute of Mathematical Scieces, 5 Mece Steet, New Yok, NY 00-85, USA ica@cims.yu.edu M. Noyes Depatmet of Mathematics, Bad High School Ealy College, 55 E Housto, New Yok, NY, USA moyes@bhsec.bad.edu 3

2 J Theo Pobab 05 8: Keywods Iteactig paticle systems ad thei scalig limits Weak limit theoems Combiatoial pobability Mathematics Subject Classificatio 00 60F05 60K99 60C05 Itoductio Fo N ad p 0,, letω p deote the pobability space cosistig of stigs i {0, }, whee each bit is chose idepedetly to be a with pobability p o a 0 with pobability p. We coside the followig kid of evolutio fo ω Ω p : Replace evey occuece of the substig 0 with 0. By doig so, ew istaces of 0 may be ceated fo istace, ceates a 0 i the middle. We epeat this pocess util we each a stig of the fom A cocete example: Say we have = 8 ad we stat with the stig ω = 000. The, ou evolutio poduces the followig stigs befoe stabilizig: , ad stabilizes afte five iteatios because thee ae o moe istaces of 0 to be foud. This evolutio has a cute itepetatio as a lie of cofused soldies. Thee is also a way to view the poblem i tems of paticles whose motio is esticted to oe dimesio. Imagie that each i the stig is a paticle that would like to move to the left-had side of the stig ad that each 0 is a empty space. At evey iteatio, if a paticle has a empty space to its left, it will move ito that space. This is exactly the eplacemet ule 0 0. Equally well, oe ca thik of the 0 s as the paticles which ae tyig to move as fa ight as they ca ad the s as ope spaces. The pocess will stabilize whe all of the paticles have moved as fa as they ca go. I this guise, we have a kid of detemiistic aalog of cetai exclusio pocesses see fo istace [4, Chapte 8] except i ou case the iitial coditio is adom, but the evolutio is detemiistic. It is elemetay to show that this pocess must stabilize afte at most iteatios ad that aftewad, we will obtai a stig of the fom The umbe of iteatios util we each such a fial cofiguatio is a adom vaiable o the pobability space Ω p. We will call this adom vaiable the stabilizatio time ad Uivesity of Michiga Udegaduate Mathematics Competitio Poblem. umich.edu/~hdekse/umumc/umumc3.pdf. A lage but fiite umbe of soldies ae aaged i a east west lie, ad all the soldies ae facig oth. The commade shouts Right face! Oe secod late, all the soldies ought to be facig east, but they have ot completely masteed ight ad left so some ae facig east ad some west. Ay soldie who is face-to-face with his eighbo ealizes that thee was a mistake ad tus 80 degees disegadig the possibility that the mistake might have bee the eighbo s. Oe secod late, whe all these 80 degee tus have bee completed, ay soldie who is ow face-to-face with a eighbo tus 80 degees eve if he had just tued at the pevious step. The pocess epeats i the same mae. Pove that it stops afte fiitely may steps.. 3

3 850 J Theo Pobab 05 8: deote it by T p : Ω p {0,,..., }. Goig back to ou cocete example above, we have T p = 5. I this pape, we will examie the limit distibutio fo the adom vaiable T p i the limit ad fo vayig values of p. Because of symmety betwee the 0 s ad s i the stig, we will coside oly the case that p. The case p is completely complemetay by the eplacemet p p. Oe of the poits of iteest is the fact that the limit distibutio i the case p = is qualitatively diffeet tha fo p =. Motivated by this, we will also coside the case whee p depeds o ad is give by the followig: p = + λ/, whee λ>0 is a positive paamete. We call this the theshold settig because it is somewhee betwee the case p = ad p =. Theoem We have the followig weak limits fo the distibutio of the adom vaiable T p i the limit : I the case p > : T p p N0, p p. I the case p = : T I the theshold settig p = + λ/ : T p χ 3. ν λ. I the above limits, N 0, p p is a mea zeo Gaussia vaiable with vaiace p p, ad χ 3 Z + Z + Z 3 is half of the Euclidea om of a vecto of thee idepedet stadad N0, Gaussia vaiables. This has desity: d χ 3 x = 8 x e x dx fo x > 0. π Fially, ν λ is a adom vaiable suppoted o the positive eal axis that depeds o the paamete λ, whose desity we fid explicitly: 3 dν λ x = 4 λ π e λ sihλxxe x dx fo x > 0.

4 J Theo Pobab 05 8: Remak The distibutio ν λ aises as the law of max 0 s B λ s Bλ whee Bλ t is a Bowia motio with dift λ. It is kow that the pocess Y t = max 0 s t B 0 s B0 t is a thee-dimesioal Bessel pocess see [5]. Hece, the distibutio ν λ is the distibutio at time t = of oe half times this paticula geealizatio of the thee-dimesioal Bessel pocess. Remak The distibutio ν λ is somewhee betwee a χ 3 ad a Gaussia distibutio. Oe ca easily veify that as λ 0, the desity fuctio fo ν λ coveges poitwise to the desity fuctio fo χ 3. O the othe had, if we examie T p p, we see fom the theoem that T p p = T p λ ν λ λ. The adom vaiable ν λ λ has desity fuctio: 4 λ π e λ sih λ x + λ x + λ e x+ λ fo x > λ/. A easy calculatio shows that as λ, this desity fuctio coveges poitwise to π e x. This is exactly the desity of a N0, /4 adom vaiable. Remak 3 The poof of the theoem comes though coectig seveal ideas fom combiatoics ad pobability theoy. Fist, we otice a atual coectio betwee stigs i Ω p ad Youg diagams. Usig Youg diagams as a tool, we ca aalyze the special case of stigs that begis with a 0 ad ed with a ad elates the stabilizatio time to a simple adom walk i oe dimesio. Usig this coectio to the adom walk, we ca fid the limit distibutio fo the stabilizatio time i the special case metioed above usig the cetal limit theoem ad Doske s theoem. Fially, we show that the limit distibutio fo the special case of stigs is actually the same as the limit distibutio fo geeal stigs. We have divided the poof ito thee lemmas which ae stated below, ad each was discussed ad poved i thei ow sectios. Lemma Give a stig ω {0, } thee is a atual adom walk associated with ω which takes a step up fo evey 0 i ω ad takes a step dow fo evey i ω. To be pecise, fo 0 k lets k = k i= ω i. I the special case whee ω = 0 ad ω =, we have the followig explicit elatioship betwee the adom walk S k ad the stabilizatio time T p ω: T p ω = + max k S k S. Remak 4 The poof of this lemma comes by mappig each stig to a Youg diagam i a atual way. The stabilizatio time of stig tus out to be equal to a quatity called the depth of the Youg diagam. I the special case, ω = 0 ad ω =, the 3

5 85 J Theo Pobab 05 8: depth of the Youg diagam is also foud to be equal to the above expessio fo ou adom walk. The poof of this lemma is discussed i Sect.. Lemma Let Ω p ={ω {0, } : ω = 0,ω = } be the pobability space whee each bit, except fo the fist ad last, is chose idepedetly at adom to be a with pobability p ad to be 0 with pobability p. The stabilizatio time of a stig is a adom vaiable T p : Ω p {,,..., }. The we have covegece of T p aalogous to the statemet i Theoem : T p p/ N0, p p fo p >, T p / χ 3 fo p = ad T p / ν λ i the theshold settig p = p. Remak 5 Oce T p ω = + max k S k S is established i Lemma, the poof of Lemma is a execise usig the cetal limit theoem ad esults about covegece of adom walks to diffusio pocesses. Fo p >, some simple aalysis shows that the tem max k S k does ot cotibute to the limit distibutio, ad the cetal limit theoem is eough to pove the limit. I the settig p =, the adom vaiable χ 3 aises fom a coectio to Bowia motio. By Doske s theoem, we kow that whe scaled coectly the adom walk S k coveges to a Bowia motio. The χ 3 aises fom the followig fact: If B t is a Bowia motio ad M t = max s t B s is its uig maximum, the M B = d χ 3. I the theshold settig, we aalogously obseve that the adom walk S k coveges to a Bowia motio, but this time with costat positive dift λ. We the use the Gisaov theoem to calculate M λ Bλ d = ν λ whe Bt λ is a Bowia motio with dift λ. The full details of the poof of this lemma ae displayed i Sect. 3. Lemma 3 Let μ p be the law of the special case adom vaiable T p ad let μ p be the law of the adom vaiable T p. Let δ 0 be the uit mass at 0. Fo p = these measues ae elated by: μ = + δ 0 + μ +. =0 Fo p = these measues ae elated by: μ p = p+ p + p δ 0 + =0 pp p p p μ p +. Moeove, fom this elatio, we ca show that the adom vaiable T p will have the same limit distibutio as the special case adom vaiable T p. The same agumet holds i the theshold settig p = p. Remak 6 The fomulas stated i Lemma 3 ae obtaied by caefully coutig the umbe of ways of addig leadig s o the left ad tailig 0 s o the ight of a stig of special type ω Ω p, ad by exploitig the obvious fact that such additios of leadig s ad tailig 0 s does ot affect stabilizatio time. Hece, the stabilizatio time fo 3

6 J Theo Pobab 05 8: a geeal stig ω is equal to the stabilizatio time fo the special case substig ω oe obtais fom ω by deletig ay leadig s o tailig 0 s. This gives the elatioship betwee μ ad μ i the lemma. Oe ca see that this is a covex combiatio of the pobability measues μ, which is heavily weighted towad highe values of. Some elemetay aalysis is used to show that this weightig is such that μ ad μ have the same limit distibutio. The details of this lemma ae give i Sect. 4. Coectio to Radom Walk i the Special Case I this sectio, we aim to pove Lemma which gives the followig explicit fomula fo the stabilizatio time of ω {0, } satisfyig ω = 0 ad ω =. T p ω = + max k S k S. This fomula, oce kow, ca be poved diectly by iductio. The poof by iductio, howeve, obscues the actual mechaics of the evolutio. A moe illumiatig solutio, which is how the fomula was fist discoveed, comes fom mappig biay stigs to Youg diagams i a paticula way. Thikig of paticle systems as Youg diagams o moe geeally as subsets of R is a classical idea i iteactig paticle systems see e.g., [6] o[] fo some famous esults. I most cases, oe obtais a egio of iteest which is gowig as the pocess evolves fowad i time. I ou poblem, howeve, the egio of iteest is shikig as the pocess evolves fowad i time. The stabilizatio time we ae iteested is pecisely the waitig time util this shikig egio vaishes. We will begi with some basic defiitios ad ceate a map fom {0, } to the space of Youg diagams. Defiitio Let Y deote the collectio of all fiite sets Y N N which have the followig popety. i, j Y i, j Y fo all i, j N such that i i ad j j. The empty set is also couted i Y. It is customay to epeset a set Y Y as a pictue cotaiig a collectio of boxes squae boxes of side, whee fo evey i, j Y, we take i ou pictue the box which has i, j as its top ight coe. I this guise, the set Y is called a Youg diagam, see e.g., [7]. The followig example illustates this epesetatio. Defiitio Fo evey ω {0, } with ω = 0 ad ω =, let U = Uω be the umbe of s i the stig ω. LetB be a U U gid o the x y plae. 3

7 854 J Theo Pobab 05 8: Readig ω fom left to ight, we costuct a path statig fom the top-left coe of B by dawig a lie hoizotally to the ight wheeve we ecoute a 0 i ω ad a lie vetically dowwad wheeve we ecoute a i ω. Sice thee ae U s ad U 0 s to be foud i ω we will get a path fom the top-left coe i B to the bottom-ight coe i B. Hee is a example of the path geeated by the stig ω = 0,,, 0,, 0,, : Defie πω N N to be the uique path costucted i this mae. The set of boxes ude this path defies a Youg diagam, which we deote Y ω. I ou example, this is the followig diagam. Defiitio 3 Let Y Y be a Youg diagam ad let i, j Y. We say that i, j is a exposed coe of Y if i +, j / Y ad i, j + / Y.Thecoe cuttig map K : Y Y is the map that emoves all the exposed coes of a Youg diagam as follows. K Y := Y \ {i, j Y i, j is a exposed coe of Y }. It is easily veified by the defiitio that emovig the exposed coes does ideed yield aothe Youg diagam. That is to say, K is a well-defied fuctio fom Y Y. Below is a example of a Youg diagam with its exposed coes shaded. The Youg diagam K Y cosists of the ushaded squaes. Popositio Let ω {0, } be a stig ad let ω be the stig obtaied fom ω afte oe stage of the evolutio, that is afte eplacig istaces of 0 with 0 oce. The the Youg diagam Y ω is obtaied by cuttig the coes of the Youg 3

8 J Theo Pobab 05 8: diagam Y ω. Y ω = K Y ω. Poof Coside the path πω defied i Defiitio. Ay istaces of 0 i ω will coespod to a hoizotal segmet followed by a vetical segmet, while istaces of 0 coespod to a vetical segmet followed by a hoizotal segmet. As such, the evolutio 0 0 will taslate ito the followig pictoial evolutio fo the path πω. These istaces of 0 coespod exactly to the exposed coes of Y ω sice they have o eighbos above them o to thei ight. We theefoe see that the substitutio ule 0 0 amouts pecisely to emovig the exposed coes of Y ω. Defiitio 4 Let Y Y, Y = be a o-empty Youg diagam. We defie: DepthY = max {i + j i, j Y }. We also set the covetio Depth = 0. I ou illustative example, ω = 0,,, 0,, 0,,, oe ca check that DepthY ω = 5. The maximum i + j is achieved at the top most exposed coe of this Youg diagam, amely, 5 Y ω. Fo a geeal Youg diagam, the maximum is always achieved at oe of the exposed coes. Hece, the coe cuttig map K always educes the depth of a Youg diagam by at least. This is the ituitio behid the followig popositio: Popositio Let Y Y, Y =. The DepthK Y = DepthY. Poof Suppose i, j Y such that i + j = DepthY. Clealy i +, j / Y ad i, j + / Y, sice assumig othewise cotadicts i + j = DepthY is maximal. The i, j is a exposed coe, so i, j / K Y. Hece DepthK Y < DepthY. Now, if eithe i, j K Y o i, j K Y the DepthK Y i + j = DepthY. I this case, we coclude DepthK Y = DepthY. Othewise, both i, j / K Y ad i, j / K Y. But this oly happes i the case Y ={, }, i which case K Y = ad the popositio holds by Depth = 0. Popositio 3 Fo evey ω {0, } we have that: T p ω = Depth Y ω. As i the itoductio, T p ω deotes the stabilizatio time of the stig ω. 3

9 856 J Theo Pobab 05 8: Poof The poof follows by iductio o DepthY ω usig the pevious two popositios. Fo the base case, if DepthY ω = 0, the Y = so ω is aleady stable, ad the stabilizatio time is 0 ad the esult holds. Now, assume that fo all ω with DepthY ω = k, T p ω = k. Give ay ω with DepthY ω = k, let ω be the evolutio of ω by oe step. The, by the last two popositios, we have that DepthY ω = DepthK Y ω = DepthY ω = k, ad so by the iductio hypothesis, T p ω = k. Sice we have applied oe step to get fom ω to ω, T p ω = T p ω + = k. Popositio 4 Let ω {0, }, ad fo 0 k lets k = k i= ω i. Let U = Uω be the umbe of s i the stig ω. I the case that ω = 0 ad ω = we have the followig explicit elatioship betwee S k ad the depth of the Youg diagam Y ω: DepthY ω = U + max 0 k S k Poof Let πω be the path associated with ω i Defiitio. A elemetay computatio shows that S is elated to πω by the followig fomula: {k, S k : 0 k } = {i + U j, i U j : i, j πω}. This fomula meely says that because of the specifics of how each of S ad πω ae costucted fom ω the set of lattice poits Sω := {k, S k : 0 k } is obtaied out of πω via 45 otatio ad dilatio by. The veificatio of the fomula is left as execise to the eade. A illustatio of how πω ad Sω look i a cocete case is show i the ext pictue, daw fo ω = 0, 0,,, 0,,,, 0, {0, } 0. Now, if ω = 0 ad ω =, we kow that the bouday of the Youg diagam Y ω is pecisely the path πω The fact that ω = 0 ad ω = is eeded hee because othewise thee ae some poits i πω which ae ot icluded i Y ω. Sice the DepthY ω is achieved somewhee o its bouday, we have that: DepthY ω = max {i + j : i, j Y ω} = max {i + j : i, j πω} = U + max {i U j : i, j πω} = U + max {S k : 0 k }, whee the last equality follows fom the map betwee S ad πω descibed above. 3

10 J Theo Pobab 05 8: Poof of Lemma This follows immediately whe we combie Popositio 3 with Popositio 4 ad also use the elemetay elatio U = S. 3 Limit Distibutio i the Special Case I this sectio, we aim to pove the afoemetioed weak limits fo the adom vaiable T p, the stabilizatio time fo stigs fom the pobability space Ω p ={ω {0, } : ω = 0,ω = }. We will use the esult fom Lemma coectig T p to the adom walk associated with ω, S k = k i= ω i. Lemma 4 Let X,...,X be i.i.d adom vaiables which take the value with pobability p ad with pobability p. Fo 0 k,letw k = k i= X i be the adom walk which takes the X i s as its steps. The: T p d = + max 0 k W k W. d Poof Make the idetificatio that X i = ωi+. Sice ω = 0, ω =, we d have that S k+ = + Wk fo 0 k ad S = + W. Fom this, it is clea that max k S k = + max 0 k W k, ad the esult is the immediate fom Lemma. Sice W k is the sum of may i.i.d. adom vaiables, we ae i a positio to use tools like the cetal limit theoem ad Doske s theoem to fid the limit distibutio. We divide the emaiig esults ito ou thee settigs, whe p >, whe p =, ad the theshold settig p = + λ/. Popositio 5 Fo p >, we have that, as : max 0 k W k P 0. Poof max k N W k is the maximum height achieved at ay time by a weighted adom walk, which takes steps upwad with pobability p < ad steps dowwad with pobability p >. It is a esult fom elemetay pobability that this maximum is distibuted like a geometic adom vaiable elated to the paamete q = 4p p d p <, amely max W k = Geom q. Sice this adom vaiable is fiite almost suely, the esult of the popositio is immediate fom Makov s iequality. Lemma 5 I the settig p >, T p has the followig weak covegece to a Gaussia as : T p p N0, p p. 3

11 858 J Theo Pobab 05 8: Poof We have, usig the esults of Lemma 4 ad Popositio 5, that: T p p = T p p p max d 0 k W k W = = max 0 k W k W p 0 + N0, p p. Sice max 0 k W k 0 by Popositio 5 ad sice W is the sum of the i.i.d. adom vaiables X i with mea p ad vaiace 4p p, so by the cetal limit theoem, we have weak covegece to a Gaussia: W p N0, 4p p. Lemma 6 Let B t, t [0, ] be a Bowia motio ad let M t = max s t B s be its uig maximum. The, i the case that p = we have the followig weak limit: T M B. d Poof We kow that T p = + max 0 k W k W, so it suffices by eplacig with + to show that: max 0 k W k W M B. This is a diect applicatio of Doske s theoem, which stipulates weak covegece of the adom walk to a Bowia motio whe teated as a piecewise liea fuctio ude the coect scalig. I paticula, this says that whe X k = ± with pobability, the the adom walk L : [0, ] R by [ L t = t ] k= X k + t t X t + has L B as i the sese of weak covegece o C[0, ] see e.g., Sectio 8 of []. This is exactly the settig we ae i with L k = ki= X i = W k.now,let h : C[0, ] R by h f = sup t [0,] f t f. This is a cotiuous fuctio o C[0, ] with the sup om, ad so it espects weak limits. The covegece max 0 k W k W = hl hb = M B is exactly what is desied. Lemma 7 Let B λ t, t [0, ] be a Bowia motio with dift λ ad let Mλ t = max s t B λ s be its uig maximum. The, i the theshold settig that p = + λ/ 3

12 J Theo Pobab 05 8: we have the followig weak limit: T p M λ Bλ. Poof Followig the agumet of the pevious lemma, it suffices to show that the piecewise liea adom walk L :[0, ] R defied by the followig has the popety that L B λ as : L t = t k= X k + t t X t + This is a execise i the theoy of diffusio pocesses. I the theshold settig, X j = with pobability + λ/ ad X j = with pobability λ/ so Doske s theoem does ot diectly apply. Istead, oe ca examie the geeato of this Makov chai, A f x = f y f x Π x, dy whee Π x, is the pobability desity of L t + give that L t = x. I ou case, sice L t + = L t + X k,we see fom the distibutio of X k that: A f x = + λ/ f x + + λ/ f x f x. It is the easily veified usig the defiitio of a deivative that A f x f x + λf x as. This is exactly the geeato fo a Bowia motio with dift λ! This is eough to coclude that L B λ,see[8, Sectio.]. Lemma 8 M B = d χ 3 with pobability desity fuctio: d χ 3 = 8 x exp x dx fo x > 0. π Poof We veify this by computig the desity of M B. This is just a computatio usig the joit desity fo Bowia motio ad its maximum, which is eadily calculated usig the eflectio piciple see fo istace [3, p. 95]. The joit desity fuctio fo Bowia motio ad its maximum is as follows: ρ M T = b, B T = a = b a πt 3 exp. b a T fo b > a, b > 0, ad 0, othewise. Now, to get the desity fuctio fo M B, oe just itegates the joit desity fo B t ad M t alog a lie: ρ M B = x = x x ρ M = y + x, B = y dy, 3

13 860 J Theo Pobab 05 8: = π x x y + x y y + x y exp dy = 8 x exp x. π Lemma 9 M λ Bλ d = ν λ with pobability desity fuctio: dν λ x = 4 λ π e λ sihλxxe x dxfox> 0. Poof By the Gisaov theoem, the Bowia motio with dift Bt λ is absolutely cotiuous with espect to the dift fee Bowia motio B t, ad the measues ae elated by the likelihood fuctio exp λb λ see fo istace [3, p. 90]. Sice this likelihood fuctio depeds oly o the fial positio B, the calculatio poceeds i exactly the same way as i Lemma 8, with this additioal facto ude the itegal sig: ρ M λ Bλ = x = x x = π ρ M = y + x, B = y exp λy λ dy x x x exp x exp λy λ dy = 4 λ π e λ sihλxxe x Poof of Lemma I the settig p >, the equied covegece follows fom Lemma 5. Likewise, the case p = is coveed by Lemmas 6 ad 8, while the theshold settig p = + λ/ is coveed by Lemmas 7 ad 9. 4 Limit Distibutio i the Geeal Case So fa, we have esults i the special case that the stig ω has ω = 0 ad ω =. I this sectio, we will bootstap off these esults to see that we have the same limit i the geeal case whee thee is o estictio o ω o ω. 3

14 J Theo Pobab 05 8: Lemma 0 Let μ p be the law of the special case adom vaiable T p ad let μ p be the law of the adom vaiable T p.fop = the measues ae elated by: μ p = p+ p + p δ 0 + =0 pp p p p μ p +. Poof We begi by splittig the space {0, } ito disjoit subsets. Fo stable ω {0, }, all s i ω must lie to the left of all 0 s i ω. Cosequetly, thee ae + stable stigs i {0, } fo which the time to stabilizatio is zeo. Fo each i, thee is pecisely oe such stig with exactly i s. These stigs cotibute the followig value to μ p i=0 p i p i δ 0 = p+ p + δ 0. p Fo o-stable ω {0, }, we will itoduce, the umbe of elemets of ω lyig betwee the fist 0 ad the last, so that we may wite ω =,...,, 0, x,...,x,, 0,...,0, with x {0, }. The time util stabilizatio of ω is the time util stabilizatio of 0, x, x...x,. Fo give, the distibutio of these times is pecisely distibuted like T p + because this stig is i the special case. These stigs cotibute the followig value to μ p fo a give : i=0 p i+ p i μ p + = pp p p p By summig ove all possible values of, we get the desied esult. Lemma Whe p =, we have the followig: μ p + μ = + δ 0 + μ +. =0 Poof The poof is the same as above. The oly diffeece is that i the case p = the sums we eed to evaluate ae aithmetic sums, istead of geometic s. Defiitio 5 We itoduce the otatio C,, p a set of positive coefficiets defied by the esults of Lemmas 0 ad, so that the followig holds tue fo all values of p: μ p = C p 0, δ 0 + = C p,. μ p. The easo fo doig this is to uify the otatio fom the cases p = ad p =. To pove the esult we ae afte, we oly eed thee popeties of the coefficiets C,. p These ae pove i the ext lemma. 3

15 86 J Theo Pobab 05 8: Lemma Fo each, let θ = 4. I fact, ay θ = α whee 0 <α< will wok. Give θ as defied above, we have the followig popeties of C p,:. C p 0, + = θ. C p 0, + 3. = = θ + C p, =. C, p 0. C p,. The same popeties still hold i the theshold settig whee p = p. Poof Popety holds sice the C,s p aose i Lemmas 0 ad as the divisio of the pobability space Ω p ito disjoit pieces. Oce is established, ad 3 ae equivalet. To establish, we use the defiitios of C, p which ae foud i Lemmas 0 ad. Fop >, we have the followig: θ C p 0, + = C, p = p+ p + θ pp + p p + + p p = p+ p + p θ p + p = = pθ + 0. p The last lie holds sice θ as. This estimate also woks to see that C p 0, + θ C p, 0as i the theshold settig p = = + λ/.ithis θ + p case, p is a idetemiat 0/0 limit. Elemetay methods, howeve, show that the limit is zeo whe θ is a powe of as we have chose hee. Fially, whe p =, we have: θ C p 0, + = C, p = + θ + = + + = + + θ + θ Popositio 6 The adom vaiable T p coveges i the same way that T p coveges as established i Lemma. That is T p p/ N0, p p fo p >,T p / χ 3 fo p = ad T p / ν λ i the theshold settig whee p = p. 3

16 J Theo Pobab 05 8: Poof The poof of the thee sepaate settigs, p =, p =, ad the theshold settig p = p is all hadled by the same agumet. To be cocete, we will focus o the theshold settig ad show T p / ν λ. The agumet poceeds i the same way fo all thee settigs because Lemma holds fo all thee settigs. We use the followig chaacteizatio of weak covegece fo distibutios ρ : ρ ρ if ad oly if ρ, a] ρ, a] fo evey a R with ρ{a} = 0 see e.g., [, Example.3, p. 8]. Sice ν λ has o atoms, ou aim is to show that fo evey a R: p T P, a] ν λ, a] 0. Fo the emaide of the poof, fix a abitay a R ad fo coveiece deote A =, a]. We poceed by dividig this ito thee tems usig the tiagle iequality, the idetity μ p = C p 0, δ 0 + = C, p μ p ad the idetity A+ = A+ a +, a + ] which holds fo evey. Wehavethe followig: p T P μ A ν λ A = p A+ ν λ A θ C p 0, δ A+ 0 + C p, μ p + C p, μ p A+ ν λ A θ + + C p, μ p a +, a + ]. θ + We ow show that each tem idividually goes to zeo as. Each tem is hadled i a sepaate claim. Claim C p 0, δ 0 + θ = C p, μ p A+ 0. Poof This is immediate fom the secod popety i Lemma : θ C p 0, δ A+ 0 + C p, μ p θ C p 0, + C p, = = 0. 3

17 864 J Theo Pobab 05 8: Claim C p = θ +, μ p A+ ν λ A 0. Poof This follows fom the esults of Lemma ad fom the weak covegece fo p T T, amely ν λ.fixɛ>0. We use the weak covegece of T p applied to the set A to fid a N N so lage so that p μ A+ ν λa <ɛfo all > N θ N +. The, fo all > N, wehavethat: θ + C p, μ p A+ ν λ A θ + + C p, μ p θ C p 0, + C p, θ + A+ ν λ A C p, ɛ+ ɛ + 0 ν λ A = ɛ, ν λ A θ C p 0, + C p, ν λ A whee the limits ae fom Lemma. Sice ɛ abitay, we have the esult of the claim. Claim C p = θ +, μ p a +, a + ] 0. Poof Fix a ɛ>0. Sice the measue ν λ has o atoms, choose a δ>0sosmallso p T that ν λ a, a + δ] <ɛ. Now, sice ν λ, choose N so lage so that fo all > N θ N +, we have P T p / a, a + δ] ν λ a, a + δ] <ɛ. Now, choose M so lage, so that the followig holds wheeve > M ad θ + : 3 a + <δ.

18 J Theo Pobab 05 8: Such a M always exists because of the followig: a + a θ + θ θ a θ + θ 0 sice θ 0. Fo lage tha both N ad M, we will have the fo evey with θ + that: μ p a +, a + ] T p = P a, a + ] T p P a, a + δ] ν λ a, a + δ] + ɛ ɛ. Hece, fo such, we have the followig: = θ + C p, μ p a +, a + ] ɛ. Ackowledgmets The fist autho s eseach is suppoted by a Udegaduate Studet Reseach Awad povided by the Natual Scieces ad Egieeig Reseach Coucil of Caada. The secod autho s eseach is suppoted by the MacCacke fellowship fom New Yok Uivesity. The secod autho is also idebted to Pofesso S. R. S. Vaadha fo helpful discussios that led to the developmet ad poof of the calculatio i the theshold settig. Refeeces. Billigsley, P.: Covegece of Pobability Measues. Wiley, Lodo 999. Johasso, K.: Shape fluctuatios ad adom matices. Commu. Math. Phys. 09, Kaatzas, I., Sheve, S.E.: Bowia Motio ad Stochastic Calculus. Spige, Beli Liggett, T.M.: Iteactig Paticle Systems. Spige, Beli Pitma, J.W.: Oe-dimesioal Bowia motio ad the thee-dimesioal Bessel pocess. Adv. Appl. Pobab. 7, Rost, H.: No-equilibium behaviou of a may paticle pocess: desity pofile ad local equilibia. Zeitschift f Wahscheilichkeitstheoie ud Vewadte Gebiete 58, Staley, R.P.: Eumeative Combiatoics, vol.. Cambidge Uivesity Pess, Cambidge Stoock, D.W., Vaadha, S.R.S.: Multidimesioal Diffusio Pocesses. Spige, Beli 979 3

Counting Functions and Subsets

Counting Functions and Subsets CHAPTER 1 Coutig Fuctios ad Subsets This chapte of the otes is based o Chapte 12 of PJE See PJE p144 Hee ad below, the efeeces to the PJEccles book ae give as PJE The goal of this shot chapte is to itoduce

More information

SOME ARITHMETIC PROPERTIES OF OVERPARTITION K -TUPLES

SOME ARITHMETIC PROPERTIES OF OVERPARTITION K -TUPLES #A17 INTEGERS 9 2009), 181-190 SOME ARITHMETIC PROPERTIES OF OVERPARTITION K -TUPLES Deick M. Keiste Depatmet of Mathematics, Pe State Uivesity, Uivesity Pak, PA 16802 dmk5075@psu.edu James A. Selles Depatmet

More information

A NOTE ON DOMINATION PARAMETERS IN RANDOM GRAPHS

A NOTE ON DOMINATION PARAMETERS IN RANDOM GRAPHS Discussioes Mathematicae Gaph Theoy 28 (2008 335 343 A NOTE ON DOMINATION PARAMETERS IN RANDOM GRAPHS Athoy Boato Depatmet of Mathematics Wilfid Lauie Uivesity Wateloo, ON, Caada, N2L 3C5 e-mail: aboato@oges.com

More information

= 5! 3! 2! = 5! 3! (5 3)!. In general, the number of different groups of r items out of n items (when the order is ignored) is given by n!

= 5! 3! 2! = 5! 3! (5 3)!. In general, the number of different groups of r items out of n items (when the order is ignored) is given by n! 0 Combiatoial Aalysis Copyight by Deiz Kalı 4 Combiatios Questio 4 What is the diffeece betwee the followig questio i How may 3-lette wods ca you wite usig the lettes A, B, C, D, E ii How may 3-elemet

More information

CHAPTER 5 : SERIES. 5.2 The Sum of a Series Sum of Power of n Positive Integers Sum of Series of Partial Fraction Difference Method

CHAPTER 5 : SERIES. 5.2 The Sum of a Series Sum of Power of n Positive Integers Sum of Series of Partial Fraction Difference Method CHAPTER 5 : SERIES 5.1 Seies 5. The Sum of a Seies 5..1 Sum of Powe of Positive Iteges 5.. Sum of Seies of Patial Factio 5..3 Diffeece Method 5.3 Test of covegece 5.3.1 Divegece Test 5.3. Itegal Test 5.3.3

More information

MATH Midterm Solutions

MATH Midterm Solutions MATH 2113 - Midtem Solutios Febuay 18 1. A bag of mables cotais 4 which ae ed, 4 which ae blue ad 4 which ae gee. a How may mables must be chose fom the bag to guaatee that thee ae the same colou? We ca

More information

MATH /19: problems for supervision in week 08 SOLUTIONS

MATH /19: problems for supervision in week 08 SOLUTIONS MATH10101 2018/19: poblems fo supevisio i week 08 Q1. Let A be a set. SOLUTIONS (i Pove that the fuctio c: P(A P(A, defied by c(x A \ X, is bijective. (ii Let ow A be fiite, A. Use (i to show that fo each

More information

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences Chapte : Theoy of Modula Aithmetic 8 Sectio D Chiese Remaide Theoem By the ed of this sectio you will be able to pove the Chiese Remaide Theoem apply this theoem to solve simultaeous liea cogueces The

More information

Multivector Functions

Multivector Functions I: J. Math. Aal. ad Appl., ol. 24, No. 3, c Academic Pess (968) 467 473. Multivecto Fuctios David Hestees I a pevious pape [], the fudametals of diffeetial ad itegal calculus o Euclidea -space wee expessed

More information

( ) 1 Comparison Functions. α is strictly increasing since ( r) ( r ) α = for any positive real number c. = 0. It is said to belong to

( ) 1 Comparison Functions. α is strictly increasing since ( r) ( r ) α = for any positive real number c. = 0. It is said to belong to Compaiso Fuctios I this lesso, we study stability popeties of the oautoomous system = f t, x The difficulty is that ay solutio of this system statig at x( t ) depeds o both t ad t = x Thee ae thee special

More information

Advanced Physical Geodesy

Advanced Physical Geodesy Supplemetal Notes Review of g Tems i Moitz s Aalytic Cotiuatio Method. Advaced hysical Geodesy GS887 Chistophe Jekeli Geodetic Sciece The Ohio State Uivesity 5 South Oval Mall Columbus, OH 4 7 The followig

More information

DANIEL YAQUBI, MADJID MIRZAVAZIRI AND YASIN SAEEDNEZHAD

DANIEL YAQUBI, MADJID MIRZAVAZIRI AND YASIN SAEEDNEZHAD MIXED -STIRLING NUMERS OF THE SEOND KIND DANIEL YAQUI, MADJID MIRZAVAZIRI AND YASIN SAEEDNEZHAD Abstact The Stilig umbe of the secod id { } couts the umbe of ways to patitio a set of labeled balls ito

More information

Lecture 24: Observability and Constructibility

Lecture 24: Observability and Constructibility ectue 24: Obsevability ad Costuctibility 7 Obsevability ad Costuctibility Motivatio: State feedback laws deped o a kowledge of the cuet state. I some systems, xt () ca be measued diectly, e.g., positio

More information

Complementary Dual Subfield Linear Codes Over Finite Fields

Complementary Dual Subfield Linear Codes Over Finite Fields 1 Complemetay Dual Subfield Liea Codes Ove Fiite Fields Kiagai Booiyoma ad Somphog Jitma,1 Depatmet of Mathematics, Faculty of Sciece, Silpao Uivesity, Naho Pathom 73000, hailad e-mail : ai_b_555@hotmail.com

More information

Finite q-identities related to well-known theorems of Euler and Gauss. Johann Cigler

Finite q-identities related to well-known theorems of Euler and Gauss. Johann Cigler Fiite -idetities elated to well-ow theoems of Eule ad Gauss Joha Cigle Faultät fü Mathemati Uivesität Wie A-9 Wie, Nodbegstaße 5 email: oha.cigle@uivie.ac.at Abstact We give geealizatios of a fiite vesio

More information

THE ANALYTIC LARGE SIEVE

THE ANALYTIC LARGE SIEVE THE ANALYTIC LAGE SIEVE 1. The aalytic lage sieve I the last lectue we saw how to apply the aalytic lage sieve to deive a aithmetic fomulatio of the lage sieve, which we applied to the poblem of boudig

More information

ELEMENTARY AND COMPOUND EVENTS PROBABILITY

ELEMENTARY AND COMPOUND EVENTS PROBABILITY Euopea Joual of Basic ad Applied Scieces Vol. 5 No., 08 ELEMENTARY AND COMPOUND EVENTS PROBABILITY William W.S. Che Depatmet of Statistics The Geoge Washigto Uivesity Washigto D.C. 003 E-mail: williamwsche@gmail.com

More information

IDENTITIES FOR THE NUMBER OF STANDARD YOUNG TABLEAUX IN SOME (k, l)-hooks

IDENTITIES FOR THE NUMBER OF STANDARD YOUNG TABLEAUX IN SOME (k, l)-hooks Sémiaie Lothaigie de Combiatoie 63 (010), Aticle B63c IDENTITIES FOR THE NUMBER OF STANDARD YOUNG TABLEAUX IN SOME (k, l)-hooks A. REGEV Abstact. Closed fomulas ae kow fo S(k,0;), the umbe of stadad Youg

More information

On ARMA(1,q) models with bounded and periodically correlated solutions

On ARMA(1,q) models with bounded and periodically correlated solutions Reseach Repot HSC/03/3 O ARMA(,q) models with bouded ad peiodically coelated solutios Aleksade Weo,2 ad Agieszka Wy oma ska,2 Hugo Steihaus Cete, Woc aw Uivesity of Techology 2 Istitute of Mathematics,

More information

Lecture 6: October 16, 2017

Lecture 6: October 16, 2017 Ifomatio ad Codig Theoy Autum 207 Lectue: Madhu Tulsiai Lectue 6: Octobe 6, 207 The Method of Types Fo this lectue, we will take U to be a fiite uivese U, ad use x (x, x 2,..., x to deote a sequece of

More information

On a Problem of Littlewood

On a Problem of Littlewood Ž. JOURAL OF MATHEMATICAL AALYSIS AD APPLICATIOS 199, 403 408 1996 ARTICLE O. 0149 O a Poblem of Littlewood Host Alze Mosbache Stasse 10, 51545 Waldbol, Gemay Submitted by J. L. Bee Received May 19, 1995

More information

Some Integral Mean Estimates for Polynomials

Some Integral Mean Estimates for Polynomials Iteatioal Mathematical Foum, Vol. 8, 23, o., 5-5 HIKARI Ltd, www.m-hikai.com Some Itegal Mea Estimates fo Polyomials Abdullah Mi, Bilal Ahmad Da ad Q. M. Dawood Depatmet of Mathematics, Uivesity of Kashmi

More information

Technical Report: Bessel Filter Analysis

Technical Report: Bessel Filter Analysis Sasa Mahmoodi 1 Techical Repot: Bessel Filte Aalysis 1 School of Electoics ad Compute Sciece, Buildig 1, Southampto Uivesity, Southampto, S17 1BJ, UK, Email: sm3@ecs.soto.ac.uk I this techical epot, we

More information

A note on random minimum length spanning trees

A note on random minimum length spanning trees A ote o adom miimum legth spaig tees Ala Fieze Miklós Ruszikó Lubos Thoma Depatmet of Mathematical Scieces Caegie Mello Uivesity Pittsbugh PA15213, USA ala@adom.math.cmu.edu, usziko@luta.sztaki.hu, thoma@qwes.math.cmu.edu

More information

Using Difference Equations to Generalize Results for Periodic Nested Radicals

Using Difference Equations to Generalize Results for Periodic Nested Radicals Usig Diffeece Equatios to Geealize Results fo Peiodic Nested Radicals Chis Lyd Uivesity of Rhode Islad, Depatmet of Mathematics South Kigsto, Rhode Islad 2 2 2 2 2 2 2 π = + + +... Vieta (593) 2 2 2 =

More information

The Pigeonhole Principle 3.4 Binomial Coefficients

The Pigeonhole Principle 3.4 Binomial Coefficients Discete M athematic Chapte 3: Coutig 3. The Pigeohole Piciple 3.4 Biomial Coefficiets D Patic Cha School of Compute Sciece ad Egieeig South Chia Uivesity of Techology Ageda Ch 3. The Pigeohole Piciple

More information

a) The average (mean) of the two fractions is halfway between them: b) The answer is yes. Assume without loss of generality that p < r.

a) The average (mean) of the two fractions is halfway between them: b) The answer is yes. Assume without loss of generality that p < r. Solutios to MAML Olympiad Level 00. Factioated a) The aveage (mea) of the two factios is halfway betwee them: p ps+ q ps+ q + q s qs qs b) The aswe is yes. Assume without loss of geeality that p

More information

Conditional Convergence of Infinite Products

Conditional Convergence of Infinite Products Coditioal Covegece of Ifiite Poducts William F. Tech Ameica Mathematical Mothly 106 1999), 646-651 I this aticle we evisit the classical subject of ifiite poducts. Fo stadad defiitios ad theoems o this

More information

EDEXCEL NATIONAL CERTIFICATE UNIT 28 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 2- ALGEBRAIC TECHNIQUES TUTORIAL 1 - PROGRESSIONS

EDEXCEL NATIONAL CERTIFICATE UNIT 28 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 2- ALGEBRAIC TECHNIQUES TUTORIAL 1 - PROGRESSIONS EDEXCEL NATIONAL CERTIFICATE UNIT 8 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME - ALGEBRAIC TECHNIQUES TUTORIAL - PROGRESSIONS CONTENTS Be able to apply algebaic techiques Aithmetic pogessio (AP): fist

More information

Generalized Near Rough Probability. in Topological Spaces

Generalized Near Rough Probability. in Topological Spaces It J Cotemp Math Scieces, Vol 6, 20, o 23, 099-0 Geealized Nea Rough Pobability i Topological Spaces M E Abd El-Mosef a, A M ozae a ad R A Abu-Gdaii b a Depatmet of Mathematics, Faculty of Sciece Tata

More information

BINOMIAL THEOREM An expression consisting of two terms, connected by + or sign is called a

BINOMIAL THEOREM An expression consisting of two terms, connected by + or sign is called a BINOMIAL THEOREM hapte 8 8. Oveview: 8.. A epessio cosistig of two tems, coected by + o sig is called a biomial epessio. Fo eample, + a, y,,7 4 5y, etc., ae all biomial epessios. 8.. Biomial theoem If

More information

BINOMIAL THEOREM NCERT An expression consisting of two terms, connected by + or sign is called a

BINOMIAL THEOREM NCERT An expression consisting of two terms, connected by + or sign is called a 8. Oveview: 8.. A epessio cosistig of two tems, coected by + o sig is called a biomial epessio. Fo eample, + a, y,,7 4, etc., ae all biomial 5y epessios. 8.. Biomial theoem BINOMIAL THEOREM If a ad b ae

More information

Using Counting Techniques to Determine Probabilities

Using Counting Techniques to Determine Probabilities Kowledge ticle: obability ad Statistics Usig outig Techiques to Detemie obabilities Tee Diagams ad the Fudametal outig iciple impotat aspect of pobability theoy is the ability to detemie the total umbe

More information

9.7 Pascal s Formula and the Binomial Theorem

9.7 Pascal s Formula and the Binomial Theorem 592 Chapte 9 Coutig ad Pobability Example 971 Values of 97 Pascal s Fomula ad the Biomial Theoem I m vey well acquaited, too, with mattes mathematical, I udestad equatios both the simple ad quadatical

More information

Lecture 3 : Concentration and Correlation

Lecture 3 : Concentration and Correlation Lectue 3 : Cocetatio ad Coelatio 1. Talagad s iequality 2. Covegece i distibutio 3. Coelatio iequalities 1. Talagad s iequality Cetifiable fuctios Let g : R N be a fuctio. The a fuctio f : 1 2 Ω Ω L Ω

More information

On randomly generated non-trivially intersecting hypergraphs

On randomly generated non-trivially intersecting hypergraphs O adomly geeated o-tivially itesectig hypegaphs Balázs Patkós Submitted: May 5, 009; Accepted: Feb, 010; Published: Feb 8, 010 Mathematics Subject Classificatio: 05C65, 05D05, 05D40 Abstact We popose two

More information

Ch 3.4 Binomial Coefficients. Pascal's Identit y and Triangle. Chapter 3.2 & 3.4. South China University of Technology

Ch 3.4 Binomial Coefficients. Pascal's Identit y and Triangle. Chapter 3.2 & 3.4. South China University of Technology Disc ete Mathem atic Chapte 3: Coutig 3. The Pigeohole Piciple 3.4 Biomial Coefficiets D Patic Cha School of Compute Sciece ad Egieeig South Chia Uivesity of Techology Pigeohole Piciple Suppose that a

More information

On composite conformal mapping of an annulus to a plane with two holes

On composite conformal mapping of an annulus to a plane with two holes O composite cofomal mappig of a aulus to a plae with two holes Mila Batista (July 07) Abstact I the aticle we coside the composite cofomal map which maps aulus to ifiite egio with symmetic hole ad ealy

More information

ON EUCLID S AND EULER S PROOF THAT THE NUMBER OF PRIMES IS INFINITE AND SOME APPLICATIONS

ON EUCLID S AND EULER S PROOF THAT THE NUMBER OF PRIMES IS INFINITE AND SOME APPLICATIONS Joual of Pue ad Alied Mathematics: Advaces ad Alicatios Volume 0 Numbe 03 Pages 5-58 ON EUCLID S AND EULER S PROOF THAT THE NUMBER OF PRIMES IS INFINITE AND SOME APPLICATIONS ALI H HAKAMI Deatmet of Mathematics

More information

On Some Fractional Integral Operators Involving Generalized Gauss Hypergeometric Functions

On Some Fractional Integral Operators Involving Generalized Gauss Hypergeometric Functions Available at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 93-9466 Vol. 5, Issue (Decembe ), pp. 3 33 (Peviously, Vol. 5, Issue, pp. 48 47) Applicatios ad Applied Mathematics: A Iteatioal Joual (AAM) O

More information

THE ANALYSIS OF SOME MODELS FOR CLAIM PROCESSING IN INSURANCE COMPANIES

THE ANALYSIS OF SOME MODELS FOR CLAIM PROCESSING IN INSURANCE COMPANIES Please cite this atle as: Mhal Matalyck Tacaa Romaiuk The aalysis of some models fo claim pocessig i isuace compaies Scietif Reseach of the Istitute of Mathemats ad Compute Sciece 004 Volume 3 Issue pages

More information

Consider unordered sample of size r. This sample can be used to make r! Ordered samples (r! permutations). unordered sample

Consider unordered sample of size r. This sample can be used to make r! Ordered samples (r! permutations). unordered sample Uodeed Samples without Replacemet oside populatio of elemets a a... a. y uodeed aagemet of elemets is called a uodeed sample of size. Two uodeed samples ae diffeet oly if oe cotais a elemet ot cotaied

More information

Auchmuty High School Mathematics Department Sequences & Series Notes Teacher Version

Auchmuty High School Mathematics Department Sequences & Series Notes Teacher Version equeces ad eies Auchmuty High chool Mathematics Depatmet equeces & eies Notes Teache Vesio A sequece takes the fom,,7,0,, while 7 0 is a seies. Thee ae two types of sequece/seies aithmetic ad geometic.

More information

INVERSE CAUCHY PROBLEMS FOR NONLINEAR FRACTIONAL PARABOLIC EQUATIONS IN HILBERT SPACE

INVERSE CAUCHY PROBLEMS FOR NONLINEAR FRACTIONAL PARABOLIC EQUATIONS IN HILBERT SPACE IJAS 6 (3 Febuay www.apapess.com/volumes/vol6issue3/ijas_6_3_.pdf INVESE CAUCH POBLEMS FO NONLINEA FACTIONAL PAABOLIC EQUATIONS IN HILBET SPACE Mahmoud M. El-Boai Faculty of Sciece Aleadia Uivesit Aleadia

More information

KEY. Math 334 Midterm II Fall 2007 section 004 Instructor: Scott Glasgow

KEY. Math 334 Midterm II Fall 2007 section 004 Instructor: Scott Glasgow KEY Math 334 Midtem II Fall 7 sectio 4 Istucto: Scott Glasgow Please do NOT wite o this exam. No cedit will be give fo such wok. Rathe wite i a blue book, o o you ow pape, pefeably egieeig pape. Wite you

More information

ON CERTAIN CLASS OF ANALYTIC FUNCTIONS

ON CERTAIN CLASS OF ANALYTIC FUNCTIONS ON CERTAIN CLASS OF ANALYTIC FUNCTIONS Nailah Abdul Rahma Al Diha Mathematics Depatmet Gils College of Educatio PO Box 60 Riyadh 567 Saudi Aabia Received Febuay 005 accepted Septembe 005 Commuicated by

More information

The Multivariate-t distribution and the Simes Inequality. Abstract. Sarkar (1998) showed that certain positively dependent (MTP 2 ) random variables

The Multivariate-t distribution and the Simes Inequality. Abstract. Sarkar (1998) showed that certain positively dependent (MTP 2 ) random variables The Multivaiate-t distibutio ad the Simes Iequality by Hey W. Block 1, Saat K. Saka 2, Thomas H. Savits 1 ad Jie Wag 3 Uivesity of ittsbugh 1,Temple Uivesity 2,Gad Valley State Uivesity 3 Abstact. Saka

More information

Sums of Involving the Harmonic Numbers and the Binomial Coefficients

Sums of Involving the Harmonic Numbers and the Binomial Coefficients Ameica Joual of Computatioal Mathematics 5 5 96-5 Published Olie Jue 5 i SciRes. http://www.scip.og/oual/acm http://dx.doi.og/.46/acm.5.58 Sums of Ivolvig the amoic Numbes ad the Biomial Coefficiets Wuyugaowa

More information

Chapter 2 Sampling distribution

Chapter 2 Sampling distribution [ 05 STAT] Chapte Samplig distibutio. The Paamete ad the Statistic Whe we have collected the data, we have a whole set of umbes o desciptios witte dow o a pape o stoed o a compute file. We ty to summaize

More information

FIXED POINT AND HYERS-ULAM-RASSIAS STABILITY OF A QUADRATIC FUNCTIONAL EQUATION IN BANACH SPACES

FIXED POINT AND HYERS-ULAM-RASSIAS STABILITY OF A QUADRATIC FUNCTIONAL EQUATION IN BANACH SPACES IJRRAS 6 () July 0 www.apapess.com/volumes/vol6issue/ijrras_6.pdf FIXED POINT AND HYERS-UAM-RASSIAS STABIITY OF A QUADRATIC FUNCTIONA EQUATION IN BANACH SPACES E. Movahedia Behbaha Khatam Al-Abia Uivesity

More information

Strong Result for Level Crossings of Random Polynomials. Dipty Rani Dhal, Dr. P. K. Mishra. Department of Mathematics, CET, BPUT, BBSR, ODISHA, INDIA

Strong Result for Level Crossings of Random Polynomials. Dipty Rani Dhal, Dr. P. K. Mishra. Department of Mathematics, CET, BPUT, BBSR, ODISHA, INDIA Iteatioal Joual of Reseach i Egieeig ad aageet Techology (IJRET) olue Issue July 5 Available at http://wwwijetco/ Stog Result fo Level Cossigs of Rado olyoials Dipty Rai Dhal D K isha Depatet of atheatics

More information

SHIFTED HARMONIC SUMS OF ORDER TWO

SHIFTED HARMONIC SUMS OF ORDER TWO Commu Koea Math Soc 9 0, No, pp 39 55 http://dxdoiog/03/ckms0939 SHIFTED HARMONIC SUMS OF ORDER TWO Athoy Sofo Abstact We develop a set of idetities fo Eule type sums I paticula we ivestigate poducts of

More information

Strong Result for Level Crossings of Random Polynomials

Strong Result for Level Crossings of Random Polynomials IOSR Joual of haacy ad Biological Scieces (IOSR-JBS) e-issn:78-8, p-issn:19-7676 Volue 11, Issue Ve III (ay - Ju16), 1-18 wwwiosjoualsog Stog Result fo Level Cossigs of Rado olyoials 1 DKisha, AK asigh

More information

EVALUATION OF SUMS INVOLVING GAUSSIAN q-binomial COEFFICIENTS WITH RATIONAL WEIGHT FUNCTIONS

EVALUATION OF SUMS INVOLVING GAUSSIAN q-binomial COEFFICIENTS WITH RATIONAL WEIGHT FUNCTIONS EVALUATION OF SUMS INVOLVING GAUSSIAN -BINOMIAL COEFFICIENTS WITH RATIONAL WEIGHT FUNCTIONS EMRAH KILIÇ AND HELMUT PRODINGER Abstact We coside sums of the Gaussia -biomial coefficiets with a paametic atioal

More information

Mapping Radius of Regular Function and Center of Convex Region. Duan Wenxi

Mapping Radius of Regular Function and Center of Convex Region. Duan Wenxi d Iteatioal Cofeece o Electical Compute Egieeig ad Electoics (ICECEE 5 Mappig adius of egula Fuctio ad Cete of Covex egio Dua Wexi School of Applied Mathematics Beijig Nomal Uivesity Zhuhai Chia 363463@qqcom

More information

Lower Bounds for Cover-Free Families

Lower Bounds for Cover-Free Families Loe Bouds fo Cove-Fee Families Ali Z. Abdi Covet of Nazaeth High School Gade, Abas 7, Haifa Nade H. Bshouty Dept. of Compute Sciece Techio, Haifa, 3000 Apil, 05 Abstact Let F be a set of blocks of a t-set

More information

Range Symmetric Matrices in Minkowski Space

Range Symmetric Matrices in Minkowski Space BULLETIN of the Bull. alaysia ath. Sc. Soc. (Secod Seies) 3 (000) 45-5 LYSIN THETICL SCIENCES SOCIETY Rae Symmetic atices i ikowski Space.R. EENKSHI Depatmet of athematics, amalai Uivesity, amalaiaa 608

More information

Math 7409 Homework 2 Fall from which we can calculate the cycle index of the action of S 5 on pairs of vertices as

Math 7409 Homework 2 Fall from which we can calculate the cycle index of the action of S 5 on pairs of vertices as Math 7409 Hoewok 2 Fall 2010 1. Eueate the equivalece classes of siple gaphs o 5 vetices by usig the patte ivetoy as a guide. The cycle idex of S 5 actig o 5 vetices is 1 x 5 120 1 10 x 3 1 x 2 15 x 1

More information

Advanced Higher Formula List

Advanced Higher Formula List Advaced Highe Fomula List Note: o fomulae give i eam emembe eveythig! Uit Biomial Theoem Factoial! ( ) ( ) Biomial Coefficiet C!! ( )! Symmety Idetity Khayyam-Pascal Idetity Biomial Theoem ( y) C y 0 0

More information

Some Properties of the K-Jacobsthal Lucas Sequence

Some Properties of the K-Jacobsthal Lucas Sequence Deepia Jhala et. al. /Iteatioal Joual of Mode Scieces ad Egieeig Techology (IJMSET) ISSN 349-3755; Available at https://www.imset.com Volume Issue 3 04 pp.87-9; Some Popeties of the K-Jacobsthal Lucas

More information

MATHS FOR ENGINEERS ALGEBRA TUTORIAL 8 MATHEMATICAL PROGRESSIONS AND SERIES

MATHS FOR ENGINEERS ALGEBRA TUTORIAL 8 MATHEMATICAL PROGRESSIONS AND SERIES MATHS FOR ENGINEERS ALGEBRA TUTORIAL 8 MATHEMATICAL PROGRESSIONS AND SERIES O completio of this ttoial yo shold be able to do the followig. Eplai aithmetical ad geometic pogessios. Eplai factoial otatio

More information

Progression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P.

Progression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P. Pogessio Sequece & Seies A set of umbes whose domai is a eal umbe is called a SEQUENCE ad sum of the sequece is called a SERIES. If a, a, a, a 4,., a, is a sequece, the the expessio a + a + a + a 4 + a

More information

The number of r element subsets of a set with n r elements

The number of r element subsets of a set with n r elements Popositio: is The umbe of elemet subsets of a set with elemets Poof: Each such subset aises whe we pick a fist elemet followed by a secod elemet up to a th elemet The umbe of such choices is P But this

More information

Introduction to the Theory of Inference

Introduction to the Theory of Inference CSSM Statistics Leadeship Istitute otes Itoductio to the Theoy of Ifeece Jo Cye, Uivesity of Iowa Jeff Witme, Obeli College Statistics is the systematic study of vaiatio i data: how to display it, measue

More information

2012 GCE A Level H2 Maths Solution Paper Let x,

2012 GCE A Level H2 Maths Solution Paper Let x, GCE A Level H Maths Solutio Pape. Let, y ad z be the cost of a ticet fo ude yeas, betwee ad 5 yeas, ad ove 5 yeas categoies espectively. 9 + y + 4z =. 7 + 5y + z = 8. + 4y + 5z = 58.5 Fo ude, ticet costs

More information

Generalized Fibonacci-Lucas Sequence

Generalized Fibonacci-Lucas Sequence Tuish Joual of Aalysis ad Numbe Theoy, 4, Vol, No 6, -7 Available olie at http://pubssciepubcom/tjat//6/ Sciece ad Educatio Publishig DOI:6/tjat--6- Geealized Fiboacci-Lucas Sequece Bijeda Sigh, Ompaash

More information

ICS141: Discrete Mathematics for Computer Science I

ICS141: Discrete Mathematics for Computer Science I Uivesity of Hawaii ICS141: Discete Mathematics fo Compute Sciece I Dept. Ifomatio & Compute Sci., Uivesity of Hawaii Ja Stelovsy based o slides by D. Bae ad D. Still Oigials by D. M. P. Fa ad D. J.L. Goss

More information

Applications of the Dirac Sequences in Electrodynamics

Applications of the Dirac Sequences in Electrodynamics Poc of the 8th WSEAS It Cof o Mathematical Methods ad Computatioal Techiques i Electical Egieeig Buchaest Octobe 6-7 6 45 Applicatios of the Diac Sequeces i Electodyamics WILHELM W KECS Depatmet of Mathematics

More information

Generalizations and analogues of the Nesbitt s inequality

Generalizations and analogues of the Nesbitt s inequality OCTOGON MATHEMATICAL MAGAZINE Vol 17, No1, Apil 2009, pp 215-220 ISSN 1222-5657, ISBN 978-973-88255-5-0, wwwhetfaluo/octogo 215 Geealiatios ad aalogues of the Nesbitt s iequalit Fuhua Wei ad Shahe Wu 19

More information

Greatest term (numerically) in the expansion of (1 + x) Method 1 Let T

Greatest term (numerically) in the expansion of (1 + x) Method 1 Let T BINOMIAL THEOREM_SYNOPSIS Geatest tem (umeically) i the epasio of ( + ) Method Let T ( The th tem) be the geatest tem. Fid T, T, T fom the give epasio. Put T T T ad. Th will give a iequality fom whee value

More information

Taylor Transformations into G 2

Taylor Transformations into G 2 Iteatioal Mathematical Foum, 5,, o. 43, - 3 Taylo Tasfomatios ito Mulatu Lemma Savaah State Uivesity Savaah, a 344, USA Lemmam@savstate.edu Abstact. Though out this pape, we assume that

More information

by Vitali D. Milman and Gideon Schechtman Abstract - A dierent proof is given to the result announced in [MS2]: For each

by Vitali D. Milman and Gideon Schechtman Abstract - A dierent proof is given to the result announced in [MS2]: For each AN \ISOMORPHIC" VERSION OF DVORETZKY'S THEOREM, II by Vitali D. Milma ad Gideo Schechtma Abstact - A dieet poof is give to the esult aouced i [MS2]: Fo each

More information

RELIABILITY ASSESSMENT OF SYSTEMS WITH PERIODIC MAINTENANCE UNDER RARE FAILURES OF ITS ELEMENTS

RELIABILITY ASSESSMENT OF SYSTEMS WITH PERIODIC MAINTENANCE UNDER RARE FAILURES OF ITS ELEMENTS Y Geis ELIABILITY ASSESSMENT OF SYSTEMS WITH PEIODIC MAINTENANCE UNDE AE FAILUES OF ITS ELEMENTS T&A # (6) (Vol) 2, Mach ELIABILITY ASSESSMENT OF SYSTEMS WITH PEIODIC MAINTENANCE UNDE AE FAILUES OF ITS

More information

Two-Toned Tilings and Compositions of Integers

Two-Toned Tilings and Compositions of Integers Two-Toed Tiligs ad Compositios of Iteges Melaie Hoffma Abstact. Followig the aticle Combiatoics of Two-Toed Tiligs by Bejami, Chi, Scott, ad Simay [1], this pape itoduces a fuctio to cout tiligs of legth

More information

DIAGONAL CHECKER-JUMPING AND EULERIAN NUMBERS FOR COLOR-SIGNED PERMUTATIONS

DIAGONAL CHECKER-JUMPING AND EULERIAN NUMBERS FOR COLOR-SIGNED PERMUTATIONS DIAGONAL CHECKER-JUMPING AND EULERIAN NUMBERS FOR COLOR-SIGNED PERMUTATIONS Niklas Eikse Heik Eiksso Kimmo Eiksso iklasmath.kth.se heikada.kth.se Kimmo.Eikssomdh.se Depatmet of Mathematics KTH SE-100 44

More information

Modular Spaces Topology

Modular Spaces Topology Applied Matheatics 23 4 296-3 http://ddoiog/4236/a234975 Published Olie Septebe 23 (http://wwwscipog/joual/a) Modula Spaces Topology Ahed Hajji Laboatoy of Matheatics Coputig ad Applicatio Depatet of Matheatics

More information

On the Explicit Determinants and Singularities of r-circulant and Left r-circulant Matrices with Some Famous Numbers

On the Explicit Determinants and Singularities of r-circulant and Left r-circulant Matrices with Some Famous Numbers O the Explicit Detemiats Sigulaities of -ciculat Left -ciculat Matices with Some Famous Numbes ZHAOLIN JIANG Depatmet of Mathematics Liyi Uivesity Shuaglig Road Liyi city CHINA jzh08@siacom JUAN LI Depatmet

More information

Math 166 Week-in-Review - S. Nite 11/10/2012 Page 1 of 5 WIR #9 = 1+ r eff. , where r. is the effective interest rate, r is the annual

Math 166 Week-in-Review - S. Nite 11/10/2012 Page 1 of 5 WIR #9 = 1+ r eff. , where r. is the effective interest rate, r is the annual Math 66 Week-i-Review - S. Nite // Page of Week i Review #9 (F-F.4, 4.-4.4,.-.) Simple Iteest I = Pt, whee I is the iteest, P is the picipal, is the iteest ate, ad t is the time i yeas. P( + t), whee A

More information

This web appendix outlines sketch of proofs in Sections 3 5 of the paper. In this appendix we will use the following notations: c i. j=1.

This web appendix outlines sketch of proofs in Sections 3 5 of the paper. In this appendix we will use the following notations: c i. j=1. Web Appedix: Supplemetay Mateials fo Two-fold Nested Desigs: Thei Aalysis ad oectio with Nopaametic ANOVA by Shu-Mi Liao ad Michael G. Akitas This web appedix outlies sketch of poofs i Sectios 3 5 of the

More information

arxiv:math/ v3 [math.oc] 5 Apr 2008

arxiv:math/ v3 [math.oc] 5 Apr 2008 Least-Squaes Pices of Games Yukio Hiashita axiv:math/0703079v3 [math.oc] 5 Ap 2008 Abstact What ae the pices of adom vaiables? I this pape, we defie the least-squaes pices of coi-flippig games, which ae

More information

4. PERMUTATIONS AND COMBINATIONS

4. PERMUTATIONS AND COMBINATIONS 4. PERMUTATIONS AND COMBINATIONS PREVIOUS EAMCET BITS 1. The umbe of ways i which 13 gold cois ca be distibuted amog thee pesos such that each oe gets at least two gold cois is [EAMCET-000] 1) 3 ) 4 3)

More information

At the end of this topic, students should be able to understand the meaning of finite and infinite sequences and series, and use the notation u

At the end of this topic, students should be able to understand the meaning of finite and infinite sequences and series, and use the notation u Natioal Jio College Mathematics Depatmet 00 Natioal Jio College 00 H Mathematics (Seio High ) Seqeces ad Seies (Lecte Notes) Topic : Seqeces ad Seies Objectives: At the ed of this topic, stdets shold be

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

Recursion. Algorithm : Design & Analysis [3]

Recursion. Algorithm : Design & Analysis [3] Recusio Algoithm : Desig & Aalysis [] I the last class Asymptotic gowth ate he Sets Ο, Ω ad Θ Complexity Class A Example: Maximum Susequece Sum Impovemet of Algoithm Compaiso of Asymptotic Behavio Aothe

More information

On the Combinatorics of Rooted Binary Phylogenetic Trees

On the Combinatorics of Rooted Binary Phylogenetic Trees O the Combiatoics of Rooted Biay Phylogeetic Tees Yu S. Sog Apil 3, 2003 AMS Subject Classificatio: 05C05, 92D15 Abstact We study subtee-pue-ad-egaft (SPR) opeatios o leaf-labelled ooted biay tees, also

More information

Einstein Classes, Unit No. 102, 103, Vardhman Ring Road Plaza, Vikas Puri Extn., Outer Ring Road New Delhi , Ph. : ,

Einstein Classes, Unit No. 102, 103, Vardhman Ring Road Plaza, Vikas Puri Extn., Outer Ring Road New Delhi , Ph. : , MB BINOMIAL THEOREM Biomial Epessio : A algebaic epessio which cotais two dissimila tems is called biomial epessio Fo eample :,,, etc / ( ) Statemet of Biomial theoem : If, R ad N, the : ( + ) = a b +

More information

COUNTING SUBSET SUMS OF FINITE ABELIAN GROUPS

COUNTING SUBSET SUMS OF FINITE ABELIAN GROUPS COUNTING SUBSET SUMS OF FINITE ABELIAN GROUPS JIYOU LI AND DAQING WAN Abstact I this pape, we obtai a explicit fomula fo the umbe of zeo-sum -elemet subsets i ay fiite abelia goup 1 Itoductio Let A be

More information

LOCUS OF THE CENTERS OF MEUSNIER SPHERES IN EUCLIDEAN 3-SPACE. 1. Introduction

LOCUS OF THE CENTERS OF MEUSNIER SPHERES IN EUCLIDEAN 3-SPACE. 1. Introduction LOCUS OF THE CENTERS OF MEUSNIER SPHERES IN EUCLIDEAN -SPACE Beyha UZUNOGLU, Yusuf YAYLI ad Ismail GOK Abstact I this study, we ivestigate the locus of the cetes of the Meusie sphees Just as focal cuve

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

Minimization of the quadratic test function

Minimization of the quadratic test function Miimizatio of the quadatic test fuctio A quadatic fom is a scala quadatic fuctio of a vecto with the fom f ( ) A b c with b R A R whee A is assumed to be SPD ad c is a scala costat Note: A symmetic mati

More information

Steiner Hyper Wiener Index A. Babu 1, J. Baskar Babujee 2 Department of mathematics, Anna University MIT Campus, Chennai-44, India.

Steiner Hyper Wiener Index A. Babu 1, J. Baskar Babujee 2 Department of mathematics, Anna University MIT Campus, Chennai-44, India. Steie Hype Wiee Idex A. Babu 1, J. Baska Babujee Depatmet of mathematics, Aa Uivesity MIT Campus, Cheai-44, Idia. Abstact Fo a coected gaph G Hype Wiee Idex is defied as WW G = 1 {u,v} V(G) d u, v + d

More information

CfE Advanced Higher Mathematics Course materials Topic 5: Binomial theorem

CfE Advanced Higher Mathematics Course materials Topic 5: Binomial theorem SCHOLAR Study Guide CfE Advaced Highe Mathematics Couse mateials Topic : Biomial theoem Authoed by: Fioa Withey Stilig High School Kae Withey Stilig High School Reviewed by: Magaet Feguso Peviously authoed

More information

( ) ( ) ( ) ( ) Solved Examples. JEE Main/Boards = The total number of terms in the expansion are 8.

( ) ( ) ( ) ( ) Solved Examples. JEE Main/Boards = The total number of terms in the expansion are 8. Mathematics. Solved Eamples JEE Mai/Boads Eample : Fid the coefficiet of y i c y y Sol: By usig fomula of fidig geeal tem we ca easily get coefficiet of y. I the biomial epasio, ( ) th tem is c T ( y )

More information

Problem Set 2 Solutions

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

More information

Models of network routing and congestion control

Models of network routing and congestion control Models of etok outig ad cogestio cotol Fak Kelly, Cambidge statslabcamacuk/~fak/tlks/amhesthtml Uivesity of Massachusetts mhest, Mach 26, 28 Ed-to-ed cogestio cotol sedes eceives Sedes lea though feedback

More information

RECIPROCAL POWER SUMS. Anthony Sofo Victoria University, Melbourne City, Australia.

RECIPROCAL POWER SUMS. Anthony Sofo Victoria University, Melbourne City, Australia. #A39 INTEGERS () RECIPROCAL POWER SUMS Athoy Sofo Victoia Uivesity, Melboue City, Austalia. athoy.sofo@vu.edu.au Received: /8/, Acceted: 6//, Published: 6/5/ Abstact I this ae we give a alteative oof ad

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

Fault Tolerant Sensor Networks with Bernoulli Nodes

Fault Tolerant Sensor Networks with Bernoulli Nodes Fault Toleat Seso Netwoks with Beoulli Nodes Chih-Wei Yi Peg-Ju Wa iag-yag Li Ophi Fiede The Depatmet of Compute Sciece Illiois Istitute of Techology 0 West 3st Steet, Chicago, IL 6066, USA Email: yichihw@iit.edu,

More information

Disjoint Sets { 9} { 1} { 11} Disjoint Sets (cont) Operations. Disjoint Sets (cont) Disjoint Sets (cont) n elements

Disjoint Sets { 9} { 1} { 11} Disjoint Sets (cont) Operations. Disjoint Sets (cont) Disjoint Sets (cont) n elements Disjoit Sets elemets { x, x, } X =, K Opeatios x Patitioed ito k sets (disjoit sets S, S,, K Fid-Set(x - etu set cotaiig x Uio(x,y - make a ew set by combiig the sets cotaiig x ad y (destoyig them S k

More information

Research Article The Peak of Noncentral Stirling Numbers of the First Kind

Research Article The Peak of Noncentral Stirling Numbers of the First Kind Iteatioal Joual of Mathematics ad Mathematical Scieces Volume 205, Aticle ID 98282, 7 pages http://dx.doi.og/0.55/205/98282 Reseach Aticle The Peak of Nocetal Stilig Numbes of the Fist Kid Robeto B. Cocio,

More information