The Maximum Number of Subset Divisors of a Given Size

Size: px
Start display at page:

Download "The Maximum Number of Subset Divisors of a Given Size"

Transcription

1 The Maxiu Nuber of Subet Divior of a Give Size arxiv: v [ath.co] 0 May 05 Abtract Sauel Zbary Caregie Mello Uiverity a zbary@yahoo.co Matheatic Subject Claificatio: 05A5, 05D05 If i a poitive iteger ad A i a et of poitive iteger, we ay that B i a -divior of A if b B b a A a. We tudy the axial uber of -ubet of a -eleet et that ca be -divior. We provide a couterexaple to a cojecture of Huyh that for, the awer i ( with oly fiitely ay exceptio, but prove that addig a eceary coditio ae thi true. Moreover, we how that uder a iilar coditio, the awer i with oly fiitely ay exceptio for each. ( Itroductio If X i a et of poitive iteger, let X deote x X x. Let A be a fiite ubet of the poitive iteger. The eleet of A are a < a < < a ad let B be a ubet of A. We ay that B i a divior of A if B A. We defie d (A to be the uber of -ubet divior of A ad let d(, be the axiu value of d (A over all et A of poitive iteger. Siilarly, for a poitive iteger, we ay that B i a -divior of A if B A. We defie d (A to be the uber of -ubet -divior of A ad let d (, be the axiu value of d (A over all et A of poitive iteger. Note that the cocept of divior ad -divior coicide. Alo, if B i a divior of A, the B i a -divior of A for all, o d (A d (A ad d (, d(, Huyh [3] ote that for ay value of a,..., a, we ca pic uch a a that ay -ubet of {a,..., a } will be a A-divior. Therefore d(, ( for all. Thi ( otivate the defiitio that A i a -ati-pecil if the et of -ubet divior of A i A\{a}. We iilarly defie A to be a (, -ati-pecil if the et of -ubet -divior of A i ( A\{a }. Huyh [3] alo forulate the followig cojecture (Cojecture.

2 Cojecture. For all but fiitely ay value of ad, d(, (. I thi paper, we provide ifiite failie of couterexaple, but prove that, with the exceptio of thee failie, the cojecture i true. Thi give u the followig odified for. Cojecture. For all but fiitely ay iteger pair (, with < <, d(, (. For coveiece, we ow recale, dividig every eleet of A by A, o that ow the eleet of A are poitive ratioal uber ad A. Uder thi recalig, B A i a divior of A if ad oly if B for oe poitive iteger ad B i a -divior of A if ad oly if B for oe poitive iteger. Clearly, the value of d(, ad d (, do ot chage. The < coditio i Cojecture i eceary ice it i eay to ee that d(, > (. Alo, if { A, } 4,...,, 3(, 3( the A, o d (A ad d(, > (. Therefore the < coditio i eceary. However, we prove that thee failie cover all but fiitely ay exceptio. Theore 3. For all but fiitely ay pair (,, if < <, A, ad d ( (, the A i a -ati-pecil. Note that thi iediately iplie Cojecture. If we are itereted i -divior, we get aother faily of exceptio. If, a + ad a, the + d (A, o d (, > (. However, we prove that thee cover all but fiitely ay exceptio. Theore 4. Fix. For all but fiitely ay pair (, (with the uber of thee pair depedig o, if < <, A, ad d ( (, the A i a (, -ati-pecil. Note that thi iediately iplie the followig corollary. Corollary 5. Fix. The d (, ( for all but fiitely ay pair (, with < < (with the uber of thee pair depedig o. We will prove Theore 4. I the cae, where, if i, the (A\{ai } >, o A\{a i} i ot a divior of A. Thi, together with the cae of Theore 4, give u Theore 3. 3 Lea Tae a d-dieioal lattice cube with lattice poit per edge. Defie a poet o the lattice poit by (x,..., x d (y,..., y d if x i y i for all i.

3 Lea 6. The larget atichai i thi poet ha at ot ( + d d d eleet. Proof. Firt, we eed oe defiitio. The width of a poet i the ize of it larget atichai. If P i a fiite poet, we ay that P i raed if there exit a fuctio ρ : P Z atifyig ρ(y ρ(x + if y cover x i P (i.e. y > x, ad there i o z P with y > z > x. If ρ(x i, the x i aid to have ra i. Let P i deote the et of eleet of P of ra i. We ay P i ra-yetric ra-uiodal if there exit oe c Z with P i P i+ whe i < c ad P c i P i for all i Z. A raed poet P i called trogly Sperer if for ay poitive iteger, the larget ubet of P that ha o ( + -chai i the uio of the larget P i. Proctor, Sa, ad Sturtevat [6] prove that the cla of ra-yetric ra-uiodal trogly Sperer poet i cloed uder product. Sice a liear orderig of legth i ra-yetric ra-uiodal trogly Sperer, o i a product of d of the (the lattice cube. Ceter the cube o the origi by tralatio i R d. Let U be the et of eleet whoe coordiate u to 0. Sice the poet i ra-yetric ra-uiodal trogly Sperer, it width i at ot the ize of P c, which i U. For each y (y,..., y d U, let S y be the et of poit (x,..., x d with x i y i < for i d (ote that thi doe ot iclude the lat idex which lie o the hyperplae give by x + + x d 0. If y, z are ditict eleet of U, the S y ad S z are clearly dijoit. Alo, the projectio of S y oto the hyperplae give by x d 0 i a uit (d - dieioal hypercube, which ha volue. Thu the volue of S y i d ad the volue of y U S y i U d. O the other had, if (x,..., x d S y, the x i y i < for i d ad x d y d d i x i y i < (d. Thu (x,..., x d lie i the cube of edge legth ( + (d + d cetered at the origi. Therefore y U S y lie i the iterectio of a cube of edge legth + d with a hyperplae through it ceter (the origi. Ball [] how that the volue of the iterectio of a uit hypercube of arbitrary dieio with a hyperplae through it ceter i at ot. Therefore the volue of y U S y i at ot ( + d d, o U ( + d d d. Let X {x < < x } be ay et of poitive iteger. If B, C ( X d, the we ay that B C if we ca write B {b,..., b d } ad C {c,..., c d } with b i c i for all i d. Wheever we copare ubet of A, we will be uig thi partial order. Lea 7. Fix d >. For ufficietly large, the width of the partial order defied above i le tha ( X. d d 3

4 Proof. Let U be a axiu atichai of the partial order. Tae the partial order of X d, which coicide with the cube partial order. Let U {(y,..., y d X d {y,..., y d } U}. Note that thi ea, i particular, that all eleet of ay -tuple i U are ditict. If (y,..., y d, (z,..., z d U with (y,..., y d < (z,..., z d, the we get that {y i } {z i } ad d i y i < d i z i, o {y i } {z i }, o {y i } < {z i }, which i ipoible. Thu U i a atichai of X d of ize d! U ad The ( X d ( d give u U d! ( + d d d. U ( X d ( + d d d ( ( d +. For ufficietly large, ( +d d d+ <, o U ( < X. d d Let d( deote the uber of divior of. Lea 8. For ay poitive iteger, d( O(. Proof. There are fiitely ay prie p <, o there ut be oe cotat C uch that for ay p < ad ay poitive iteger, d(p + C(p. For p >, d(p + (p. Thu if j i p i i for ditict prie p i, the d( j i d (p i i C j i ( (p i i C O. Lea 9. Fix poitive iteger,, a, b. The for poitive iteger, the uber of pair of poitive iteger (x, y uch that a + b ad all three fractio are i lowet ter i x y at ot O(. Proof. Aue a + b. Let p gcd(, x, with tp ad x wp. The x y Lettig q gcd(w at, twp, we get b y a x w at. twp w at qb. ( For ay choice of, p, q, ( give at ot oe poible value of w, thu at ot oe value of x, ad thu at ot oe value of (x, y. The defiitio of q give u q p. The for a give, both p ad q are divior of, o by Lea 8 there are O( poible value for p ad O( value for q, o there are O( value for (p, q ad O( pair of uber (x, y. 4

5 4 Proof of Theore 4 Aue that A, d (A (, ad that A i ot a (, -ati-pecil. Note that the oe B a ha B, o ice <, we have a + <. We will ue thi i + all ( the cae below. Alo, the uber of -ubet of A that are ot -divior i at ot ( (. Rear 0. If B ad C are -ubet of A with B < C, the B < C. Note that if B 0 < B < < B are all divior of A ad B < /q, the B 0 < /(q +. Therefore if a B 0, the a < /(q +. Sice <, B < /, o we autoatically get that a < /( + Each of the ubectio below i a eparate cae. 4. all Fix ad let >>. For i,..., i, call the ordered -tuple (i,..., i repetitive if ot all etrie are ditict. Call it good if all etrie are ditict ad {a ij } i a -divior. Otherwie, call the ordered -tuple bad. We will firt retrict our attetio to -tuple where i. Aog thee, O( are repetitive. Alo, O( iclude both ad aog their copoet. Of the reaider, at ot (! ( are bad. Thu at leat /3 of the -tuple (i,..., i atifyig i are good. By the Pigeohole Priciple, there are oe value j,..., j with j uch that the chai {(, j,..., j,..., (, j,..., j } U ha at leat /3 good -tuple. Thi give u a chai of -ubet -divior of legth at leat /3. Thu a 3. Let B {a i i > ( 9 }. If ai B, the A i a i < a i + 9 a + a < a i o a i > ad a 6 i >. 6 Thu ay -divior that i a ubet of B ut u to oe >, o there are at 6 ot 6 ditict value that ca tae. Thu there are at ot 6 ditict value that a -divior that i a ubet of B ca u to. If D ( B ad r for oe poitive iteger, call D a r-te if there are at leat pair {x, y} B\D with (D {x, y} r. Call uch pair tail of D. If two tail of D are {x, y} ad {x, z}, the the u coditio give u y z, o tail of D are pairwie dijoit. Now let B 0 B. Note that B 0 >. A log a B 0 i, B 0 i ha at ot ( ubet which are ot -divior of A, o it ha at leat ( Bi -ubet that are -divior. Sice thee ( tae o at ot 6 value, there ut be oe poitive iteger i uch that at leat Bi -ubet of Bi u to r i i. 5

6 If we radoly chooe D i ( B i, the expected value for the uber of pair {x, y} B i \D i with ( (D i {x, y} r i i at leat Bi (. Thu we will chooe a Di ( uch that the uber of thee pair i at leat Bi (. Sice ( Bi ( 5 ( B i 5 (0 0000, 6 D i atifie the defiitio of a r i -te. Let B i B i \D i. The for i, D 0 i i a r i -te ad all the D i are dijoit. Sice the uber of -ubet of A which are ot -divior i le tha ( 0, we ow that there ut exit dijoit D i,..., D i uch that ay et coitig of oe eleet of each D ij will be a -divior. Note that i the cae, D i D i. Partitio j D i j ito uch et C,..., C. Let p /(. For j, we wat to chooe T j ,..., Tp j to be tail of D ij. We will chooe the for j, the for j, ad o o. Whe we chooe {T j l }, we will ae each of thee tail dijoit fro each of the te, a well a fro the already choe tail. Thi i poible ice D ih h j p h l T h l j p D ih + h h l T h l ( + (j p ( + ( p. Sice ay eleet i a te or i a previouly choe tail ca be i at ot oe tail of D ij, at ot ( + ( p tail are eliiated, o there ut be at leat p tail till available to chooe fro. We ay that a choice of tail {T j i j } j for each te i fortuitou if {x j i j } j ad {y j i j } j are both -divior. There are p > /( choice of tail, ad at ot ( of the are ot fortuitou. Thu at leat of poible choice are fortuitou. By the Pigeohole Priciple, we ca chooe i,..., i o that there are at leat p/ choice for i which ae {Ti,..., T i, Ti } fortuitou. Note that differet choice of i give u differet value of x i ad therefore differet value of j xj i j, o j xj i j ca tae o at leat p/ Ω( differet value. O the other had, if we are give a fortuitou choice of tail {T j i j }, the Cj + x j i j + y j i j j j x j i j + j j j y j i j j ( D ij {x j i j, y j i j } r ij Cj. j j 6

7 The right had ide doe ot deped o our choice of tail. Alo, ice each r ij ad each Cj ha deoiator at ot 6, the right had ide ha deoiator at ot (6. Sice both j xj i j ad j yj i j are -divior, there are at ot poibilitie for their uerator. For each uch poibility, by Lea 9, j xj i j ca tae o at ot ( (6 O ( 4 O differet value. Thu j xj i j ca tae o at ot ( O 3 differet value, cotradictig the upper boud above. 4. 3, ufficietly large Let d (( + /0.03. Aue that i ufficietly large relative d ad that 3. Let T be the et of -ubet of A that iclude both a ad a. Let T be the et of -ubet of A that iclude oe of a or a, but ot both. Defie U ad U iilarly, but with ( d-ubet. For S U t, let P S {B T t S B} (the et of -ubet obtaiable by addig d eleet of A le tha a to S. Note that a eleet of T t i cotaied i P S for exactly ( t d value of S. Thu if α Tt eleet of T t are -divior, the there i oe S U t o that at leat α P S eleet of P S are -divior. Now ote that the dijoit uio T T i the et of all -ubet whoe greatet eleet i at leat a, o T T ( ( 7

8 ad the fractio of the eleet of T T which are ot -divior i at ot ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( 0.76 for ufficietly large. Therefore, if we et α 0.4, the for t or t, the fractio of eleet of T t that are -divior i at leat α, o for oe S, the fractio of eleet of P S which are -divior i at leat α 0.4. Note that the partial order of P S i the ae a the partial order of ( A\S\{a,a } d, o by Lea 7, it width i at ot P d S. The, by Miry theore, there i a chai of -ubet -divior i P S of legth at leat α P S P d S 0. d( (0.03 d. But the the firt eleet of the chai iclude a or a, o by Rear 0, a The a i 0.03 d ad, ice a < yieldig a cotradictio. i, + a i < < < ( 6 + 3, ufficietly large Let d ( Aue that i ufficietly large ad that 3 < < d. i (0.03. d 8

9 Radoly arrage the eleet of A aroud a circle. Let M be the et of -ubet of A coitig of coecutive eleet aroud the circle, ad let N {B M B }. (+ If B, C N ad they are hifted relative each other by at leat, the A\(B C, o A (A\(B C + B + C < + + ( + + ( +, which i ipoible. Thu ay two eleet of N are hifted by at ot aroud the circle. Thi give u N. Sice ay -ubet of A uig to at ot ha equal probability (+ of beig i N, thi tell u that the uber of -ubet with u at ot i at ot (+. Thu there are at leat ( ( ( ( ( ( -ubet which are -divior of A ad have a u of eleet greater tha. The u (+ of eleet of uch a et i >, o it ca tae o oe of ( + (+ + value, o there ut be oe iteger o that at leat ( +( of the -ubet of A u to (. Thu at leat ( + of the ( -ubet of A u to. If S ( A d, let PS be the et of ( -ubet obtaiable by addig d eleet of A to S. Note that ay ( -ubet of A i cotaied i P S for exactly ( d value of S, o there i oe S o that at leat ( + P S eleet of P S u to. They ut the for a atichai. However, the partial order of P S i the ae a the partial order of ( A\S d, o by Lea 7, it larget atichai ha ize le tha yieldig a cotradictio. d + d P S < 3 d P S ( + P S, 4.4 ( <, ufficietly large Aue that (6 + 3 <. Let u. Thu < u (6 + 3, o u ca tae o oly fiitely ay value. Aue that i ufficietly large relative thoe value. Let { ( A Y B A\B i a -divior of A}. u By auptio, Y ( ( u. 9

10 Let q be a all a poible o that a q <. Note that q < u( +. If B ( A u(+ u ad b a q for all b B, the B <, o (A\B > ad B / Y. Thu every + + B Y cotai at leat oe of the q greatet eleet of A. The uber of u-ubet of A cotaiig at leat of the q greatet eleet of A i bouded by ( ( q q < u(+ < Y, u u o at leat half of the eleet of Y cotai exactly oe of the q greatet eleet of A. Thu there ( ut be oe a i which i oe of the q greatet eleet of A uch that at leat u(+ u eleet of Y iclude ai ad o other of the q larget eleet. If B i uch a eleet of Y, the B < ai + (u u( + < + + u u( + u( +. Sice B ut be of the for for oe poitive iteger, we get fewer tha (+u poible value of. Thu there ut be oe value of o that there are at leat ( u ( + u differet u-ubet of A which iclude a i ad u to. However, if we have a collectio of that ay u-ubet of A that cotai a i, the oe of the will hare u eleet ad thu have differet u. Thi give u a cotradictio. 5 Cocluio For ufficietly large, all are covered by oe of the three lat cae. For all, all but fiitely value of are covered by the firt cae. I the tateet of Theore 3 ad Theore 4, all but fiitely ay caot be oitted. For exaple, Huyh[3] ote that 4,, A {, 5, 7, } give d (A 4 > (. A icreae, the uber of uch exceptio grow; i fact, it i eay to ee that ay,, A, will be a exceptio for ufficietly large. We could follow the proof ad trace out the upper boud o uch that (, i a exceptio; however thee will probably be far fro optial (for itace, for, (, 4 i liely the oly exceptio. It would be iteretig to get a good boud o the uber of uch exceptio, or o how large ca be i ter of for (, to be a exceptio. I thi paper, we are coutig B ( A uch that B. If we itead couted B uch that B <, thi proble becoe equivalet to the Maica-Miló-Sighi cojecture: Cojecture. For poitive iteger, with 4, every et of real uber with oegative u ha at leat ( -eleet ubet whoe u i alo oegative. 0

11 The equivalece i give by taig the copleet of B ad applyig a liear traforatio. The MMS cojecture ha bee prove for [4], 0 46 [5], ad 8 [], however there are pair (, uch that it doe ot hold. Thi ugget a ore geeral proble. Proble. Fix S [0, ] ad poitive iteger ad. If A i a et of poitive real, let d (S, A be the uber of ubet B ( A uch that B S. Let d(s,, be the axial value of d(s,, over all A with A ad A. For what S,, do we get d(s,, (? Furtherore, whe doe d (S, A ( iply that A i a -ati-pecil? Thi paper addree thi proble for S { Z+ }, while the MMS cojecture deal with thi proble for S (0, /. Aother exaple of a et for which thi proble ight be iteretig i a et of the for S (0, α/ { Z+ }, which cobie the theore of thi paper with the MMS cojecture. 6 Acowledgeet Thi reearch wa coducted a part of the Uiverity of Mieota Duluth REU progra, upported by NSA grat H ad NSF grat I would lie to tha Joe Gallia for hi advice ad upport. I would alo lie to tha Ada Heterberg ad Tiothy Chow for helpful dicuio ad uggetio. I would alo lie to tha Bria Scott for a ueful awer o Math Stac Exchage ( Referece [] K. Ball. Cube licig i R. Proc. Aer. Math. Soc., 97(3:465 47, 986. [] A. Chowdhury, G. Sari, ad S. Shahriari. A ew quadratic boud for the Maica- Miló-Sighi cojecture. 04. preprit, [3] Toy Huyh. Extreal proble for ubet divior. Elect. J. Cobi., :P.4, 04. [4] N. Maica ad D. Miló. O the uber of oegative partial u of a oegative u. I Cobiatoric (Eger, 987, Colloq. Math. Soc. Jáo Bolyai 5 (North-Hollad, 988, [5] A. Poroviy. A liear boud o the Maica-Milo-Sighi cojecture. 03. preprit, [6] R. A. Proctor, M. Sa, ad D. Sturtevat. Product partial order with the Sperer property. Dicrete Math., 30:73 80, 980.

PRIMARY DECOMPOSITION, ASSOCIATED PRIME IDEALS AND GABRIEL TOPOLOGY

PRIMARY DECOMPOSITION, ASSOCIATED PRIME IDEALS AND GABRIEL TOPOLOGY Orietal J. ath., Volue 1, Nuber, 009, Page 101-108 009 Orietal Acadeic Publiher PRIARY DECOPOSITION, ASSOCIATED PRIE IDEALS AND GABRIEL TOPOLOGY. EL HAJOUI, A. IRI ad A. ZOGLAT Uiverité ohaed V aculté

More information

THE CONCEPT OF THE ROOT LOCUS. H(s) THE CONCEPT OF THE ROOT LOCUS

THE CONCEPT OF THE ROOT LOCUS. H(s) THE CONCEPT OF THE ROOT LOCUS So far i the tudie of cotrol yte the role of the characteritic equatio polyoial i deteriig the behavior of the yte ha bee highlighted. The root of that polyoial are the pole of the cotrol yte, ad their

More information

u t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall

u t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall Oct. Heat Equatio M aximum priciple I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace

More information

Math 4707 Spring 2018 (Darij Grinberg): midterm 2 page 1. Math 4707 Spring 2018 (Darij Grinberg): midterm 2 with solutions [preliminary version]

Math 4707 Spring 2018 (Darij Grinberg): midterm 2 page 1. Math 4707 Spring 2018 (Darij Grinberg): midterm 2 with solutions [preliminary version] Math 4707 Sprig 08 Darij Griberg: idter page Math 4707 Sprig 08 Darij Griberg: idter with solutios [preliiary versio] Cotets 0.. Coutig first-eve tuples......................... 3 0.. Coutig legal paths

More information

Discrete Mathematics: Lectures 8 and 9 Principle of Inclusion and Exclusion Instructor: Arijit Bishnu Date: August 11 and 13, 2009

Discrete Mathematics: Lectures 8 and 9 Principle of Inclusion and Exclusion Instructor: Arijit Bishnu Date: August 11 and 13, 2009 Discrete Matheatics: Lectures 8 ad 9 Priciple of Iclusio ad Exclusio Istructor: Arijit Bishu Date: August ad 3, 009 As you ca observe by ow, we ca cout i various ways. Oe such ethod is the age-old priciple

More information

Société de Calcul Mathématique, S. A. Algorithmes et Optimisation

Société de Calcul Mathématique, S. A. Algorithmes et Optimisation Société de Calcul Mathématique S A Algorithme et Optimiatio Radom amplig of proportio Berard Beauzamy Jue 2008 From time to time we fid a problem i which we do ot deal with value but with proportio For

More information

Bernoulli Numbers and a New Binomial Transform Identity

Bernoulli Numbers and a New Binomial Transform Identity 1 2 3 47 6 23 11 Joural of Iteger Sequece, Vol. 17 2014, Article 14.2.2 Beroulli Nuber ad a New Bioial Trafor Idetity H. W. Gould Departet of Matheatic Wet Virgiia Uiverity Morgatow, WV 26506 USA gould@ath.wvu.edu

More information

STRONG DEVIATION THEOREMS FOR THE SEQUENCE OF CONTINUOUS RANDOM VARIABLES AND THE APPROACH OF LAPLACE TRANSFORM

STRONG DEVIATION THEOREMS FOR THE SEQUENCE OF CONTINUOUS RANDOM VARIABLES AND THE APPROACH OF LAPLACE TRANSFORM Joural of Statitic: Advace i Theory ad Applicatio Volume, Number, 9, Page 35-47 STRONG DEVIATION THEORES FOR THE SEQUENCE OF CONTINUOUS RANDO VARIABLES AND THE APPROACH OF LAPLACE TRANSFOR School of athematic

More information

distinct distinct n k n k n! n n k k n 1 if k n, identical identical p j (k) p 0 if k > n n (k)

distinct distinct n k n k n! n n k k n 1 if k n, identical identical p j (k) p 0 if k > n n (k) THE TWELVEFOLD WAY FOLLOWING GIAN-CARLO ROTA How ay ways ca we distribute objects to recipiets? Equivaletly, we wat to euerate equivalece classes of fuctios f : X Y where X = ad Y = The fuctios are subject

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

Heat Equation: Maximum Principles

Heat Equation: Maximum Principles Heat Equatio: Maximum Priciple Nov. 9, 0 I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace

More information

Lecture 10: Bounded Linear Operators and Orthogonality in Hilbert Spaces

Lecture 10: Bounded Linear Operators and Orthogonality in Hilbert Spaces Lecture : Bouded Liear Operators ad Orthogoality i Hilbert Spaces 34 Bouded Liear Operator Let ( X, ), ( Y, ) i i be ored liear vector spaces ad { } X Y The, T is said to be bouded if a real uber c such

More information

Comments on Discussion Sheet 18 and Worksheet 18 ( ) An Introduction to Hypothesis Testing

Comments on Discussion Sheet 18 and Worksheet 18 ( ) An Introduction to Hypothesis Testing Commet o Dicuio Sheet 18 ad Workheet 18 ( 9.5-9.7) A Itroductio to Hypothei Tetig Dicuio Sheet 18 A Itroductio to Hypothei Tetig We have tudied cofidece iterval for a while ow. Thee are method that allow

More information

42 Dependence and Bases

42 Dependence and Bases 42 Depedece ad Bases The spa s(a) of a subset A i vector space V is a subspace of V. This spa ay be the whole vector space V (we say the A spas V). I this paragraph we study subsets A of V which spa V

More information

6.4 Binomial Coefficients

6.4 Binomial Coefficients 64 Bioial Coefficiets Pascal s Forula Pascal s forula, aed after the seveteeth-cetury Frech atheaticia ad philosopher Blaise Pascal, is oe of the ost faous ad useful i cobiatorics (which is the foral ter

More information

SOME FINITE SIMPLE GROUPS OF LIE TYPE C n ( q) ARE UNIQUELY DETERMINED BY THEIR ELEMENT ORDERS AND THEIR ORDER

SOME FINITE SIMPLE GROUPS OF LIE TYPE C n ( q) ARE UNIQUELY DETERMINED BY THEIR ELEMENT ORDERS AND THEIR ORDER Joural of Algebra, Nuber Theory: Advaces ad Applicatios Volue, Nuber, 010, Pages 57-69 SOME FINITE SIMPLE GROUPS OF LIE TYPE C ( q) ARE UNIQUELY DETERMINED BY THEIR ELEMENT ORDERS AND THEIR ORDER School

More information

The Hypergeometric Coupon Collection Problem and its Dual

The Hypergeometric Coupon Collection Problem and its Dual Joural of Idustrial ad Systes Egieerig Vol., o., pp -7 Sprig 7 The Hypergeoetric Coupo Collectio Proble ad its Dual Sheldo M. Ross Epstei Departet of Idustrial ad Systes Egieerig, Uiversity of Souther

More information

Binomial transform of products

Binomial transform of products Jauary 02 207 Bioial trasfor of products Khristo N Boyadzhiev Departet of Matheatics ad Statistics Ohio Norther Uiversity Ada OH 4580 USA -boyadzhiev@ouedu Abstract Give the bioial trasfors { b } ad {

More information

A PROBABILITY PROBLEM

A PROBABILITY PROBLEM A PROBABILITY PROBLEM A big superarket chai has the followig policy: For every Euros you sped per buy, you ear oe poit (suppose, e.g., that = 3; i this case, if you sped 8.45 Euros, you get two poits,

More information

Some remarks on the paper Some elementary inequalities of G. Bennett

Some remarks on the paper Some elementary inequalities of G. Bennett Soe rears o the paper Soe eleetary iequalities of G. Beett Dag Ah Tua ad Luu Quag Bay Vieta Natioal Uiversity - Haoi Uiversity of Sciece Abstract We give soe couterexaples ad soe rears of soe of the corollaries

More information

Math 220A Fall 2007 Homework #2. Will Garner A

Math 220A Fall 2007 Homework #2. Will Garner A Math 0A Fall 007 Homewor # Will Garer Pg 3 #: Show that {cis : a o-egative iteger} is dese i T = {z œ : z = }. For which values of q is {cis(q): a o-egative iteger} dese i T? To show that {cis : a o-egative

More information

Bertrand s postulate Chapter 2

Bertrand s postulate Chapter 2 Bertrad s postulate Chapter We have see that the sequece of prie ubers, 3, 5, 7,... is ifiite. To see that the size of its gaps is ot bouded, let N := 3 5 p deote the product of all prie ubers that are

More information

MORE COMMUTATOR INEQUALITIES FOR HILBERT SPACE OPERATORS

MORE COMMUTATOR INEQUALITIES FOR HILBERT SPACE OPERATORS terat. J. Fuctioal alyi Operator Theory ad pplicatio 04 Puhpa Publihig Houe llahabad dia vailable olie at http://pph.co/oural/ifaota.ht Volue Nuber 04 Page MORE COMMUTTOR NEQULTES FOR HLERT SPCE OPERTORS

More information

On the Signed Domination Number of the Cartesian Product of Two Directed Cycles

On the Signed Domination Number of the Cartesian Product of Two Directed Cycles Ope Joural of Dicrete Mathematic, 205, 5, 54-64 Publihed Olie July 205 i SciRe http://wwwcirporg/oural/odm http://dxdoiorg/0426/odm2055005 O the Siged Domiatio Number of the Carteia Product of Two Directed

More information

Left Quasi- ArtinianModules

Left Quasi- ArtinianModules Aerica Joural of Matheatic ad Statitic 03, 3(): 6-3 DO: 0.593/j.aj.03030.04 Left Quai- ArtiiaModule Falih A. M. Aldoray *, Oaia M. M. Alhekiti Departet of Matheatic, U Al-Qura Uiverity, Makkah,P.O.Box

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

Statistical Inference Procedures

Statistical Inference Procedures Statitical Iferece Procedure Cofidece Iterval Hypothei Tet Statitical iferece produce awer to pecific quetio about the populatio of iteret baed o the iformatio i a ample. Iferece procedure mut iclude a

More information

BINOMIAL COEFFICIENT HARMONIC SUM IDENTITIES ASSOCIATED TO SUPERCONGRUENCES

BINOMIAL COEFFICIENT HARMONIC SUM IDENTITIES ASSOCIATED TO SUPERCONGRUENCES #A37 INTEGERS (20) BINOMIAL COEFFICIENT HARMONIC SUM IDENTITIES ASSOCIATED TO SUPERCONGRUENCES Derot McCarthy Departet of Matheatics, Texas A&M Uiversity, Texas ccarthy@athtauedu Received: /3/, Accepted:

More information

Generalized Likelihood Functions and Random Measures

Generalized Likelihood Functions and Random Measures Pure Mathematical Sciece, Vol. 3, 2014, o. 2, 87-95 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/pm.2014.437 Geeralized Likelihood Fuctio ad Radom Meaure Chrito E. Koutzaki Departmet of Mathematic

More information

COMP 2804 Solutions Assignment 1

COMP 2804 Solutions Assignment 1 COMP 2804 Solutios Assiget 1 Questio 1: O the first page of your assiget, write your ae ad studet uber Solutio: Nae: Jaes Bod Studet uber: 007 Questio 2: I Tic-Tac-Toe, we are give a 3 3 grid, cosistig

More information

CERTAIN CONGRUENCES FOR HARMONIC NUMBERS Kotor, Montenegro

CERTAIN CONGRUENCES FOR HARMONIC NUMBERS Kotor, Montenegro MATHEMATICA MONTISNIGRI Vol XXXVIII (017) MATHEMATICS CERTAIN CONGRUENCES FOR HARMONIC NUMBERS ROMEO METROVIĆ 1 AND MIOMIR ANDJIĆ 1 Maritie Faculty Kotor, Uiversity of Moteegro 85330 Kotor, Moteegro e-ail:

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

Double Derangement Permutations

Double Derangement Permutations Ope Joural of iscrete Matheatics, 206, 6, 99-04 Published Olie April 206 i SciRes http://wwwscirporg/joural/ojd http://dxdoiorg/04236/ojd2066200 ouble erageet Perutatios Pooya aeshad, Kayar Mirzavaziri

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

On the 2-Domination Number of Complete Grid Graphs

On the 2-Domination Number of Complete Grid Graphs Ope Joural of Dicrete Mathematic, 0,, -0 http://wwwcirporg/oural/odm ISSN Olie: - ISSN Prit: - O the -Domiatio Number of Complete Grid Graph Ramy Shahee, Suhail Mahfud, Khame Almaea Departmet of Mathematic,

More information

On Order of a Function of Several Complex Variables Analytic in the Unit Polydisc

On Order of a Function of Several Complex Variables Analytic in the Unit Polydisc ISSN 746-7659, Eglad, UK Joural of Iforatio ad Coutig Sciece Vol 6, No 3, 0, 95-06 O Order of a Fuctio of Several Colex Variables Aalytic i the Uit Polydisc Rata Kuar Dutta + Deartet of Matheatics, Siliguri

More information

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

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

More information

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

10-716: Advanced Machine Learning Spring Lecture 13: March 5

10-716: Advanced Machine Learning Spring Lecture 13: March 5 10-716: Advaced Machie Learig Sprig 019 Lecture 13: March 5 Lecturer: Pradeep Ravikumar Scribe: Charvi Ratogi, Hele Zhou, Nicholay opi Note: Lae template courtey of UC Berkeley EECS dept. Diclaimer: hee

More information

On the transcendence of infinite sums of values of rational functions

On the transcendence of infinite sums of values of rational functions O the trascedece of ifiite sus of values of ratioal fuctios N. Saradha ad R. Tijdea Abstract P () = We ivestigate coverget sus T = Q() ad U = P (X), Q(X) Q[X], ad Q(X) has oly siple ratioal roots. = (

More information

ELIMINATION OF FINITE EIGENVALUES OF STRONGLY SINGULAR SYSTEMS BY FEEDBACKS IN LINEAR SYSTEMS

ELIMINATION OF FINITE EIGENVALUES OF STRONGLY SINGULAR SYSTEMS BY FEEDBACKS IN LINEAR SYSTEMS 73 M>D Tadeuz azore Waraw Uiverity of Tehology, Faulty of Eletrial Egieerig Ititute of Cotrol ad Idutrial Eletroi EIMINATION OF FINITE EIENVAUES OF STONY SINUA SYSTEMS BY FEEDBACS IN INEA SYSTEMS Tadeuz

More information

DISCRETE MELLIN CONVOLUTION AND ITS EXTENSIONS, PERRON FORMULA AND EXPLICIT FORMULAE

DISCRETE MELLIN CONVOLUTION AND ITS EXTENSIONS, PERRON FORMULA AND EXPLICIT FORMULAE DISCRETE MELLIN CONVOLUTION AND ITS EXTENSIONS, PERRON FORMULA AND EXPLICIT FORMULAE Joe Javier Garcia Moreta Graduate tudet of Phyic at the UPV/EHU (Uiverity of Baque coutry) I Solid State Phyic Addre:

More information

1.2 AXIOMATIC APPROACH TO PROBABILITY AND PROPERTIES OF PROBABILITY MEASURE 1.2 AXIOMATIC APPROACH TO PROBABILITY AND

1.2 AXIOMATIC APPROACH TO PROBABILITY AND PROPERTIES OF PROBABILITY MEASURE 1.2 AXIOMATIC APPROACH TO PROBABILITY AND NTEL- robability ad Distributios MODULE 1 ROBABILITY LECTURE 2 Topics 1.2 AXIOMATIC AROACH TO ROBABILITY AND ROERTIES OF ROBABILITY MEASURE 1.2.1 Iclusio-Exclusio Forula I the followig sectio we will discuss

More information

Applied Mathematical Sciences, Vol. 9, 2015, no. 3, HIKARI Ltd,

Applied Mathematical Sciences, Vol. 9, 2015, no. 3, HIKARI Ltd, Applied Mathematical Sciece Vol 9 5 o 3 7 - HIKARI Ltd wwwm-hiaricom http://dxdoiorg/988/am54884 O Poitive Defiite Solutio of the Noliear Matrix Equatio * A A I Saa'a A Zarea* Mathematical Sciece Departmet

More information

Analysis of Analytical and Numerical Methods of Epidemic Models

Analysis of Analytical and Numerical Methods of Epidemic Models Iteratioal Joural of Egieerig Reearc ad Geeral Sciece Volue, Iue, Noveber-Deceber, 05 ISSN 09-70 Aalyi of Aalytical ad Nuerical Metod of Epideic Model Pooa Kuari Aitat Profeor, Departet of Mateatic Magad

More information

Fig. 1: Streamline coordinates

Fig. 1: Streamline coordinates 1 Equatio of Motio i Streamlie Coordiate Ai A. Soi, MIT 2.25 Advaced Fluid Mechaic Euler equatio expree the relatiohip betwee the velocity ad the preure field i ivicid flow. Writte i term of treamlie coordiate,

More information

Lecture 30: Frequency Response of Second-Order Systems

Lecture 30: Frequency Response of Second-Order Systems Lecture 3: Frequecy Repoe of Secod-Order Sytem UHTXHQF\ 5HVSRQVH RI 6HFRQGUGHU 6\VWHPV A geeral ecod-order ytem ha a trafer fuctio of the form b + b + b H (. (9.4 a + a + a It ca be table, utable, caual

More information

Multistep Runge-Kutta Methods for solving DAEs

Multistep Runge-Kutta Methods for solving DAEs Multitep Ruge-Kutta Method for olvig DAE Heru Suhartato Faculty of Coputer Sciece, Uiverita Idoeia Kapu UI, Depok 6424, Idoeia Phoe: +62-2-786 349 E-ail: heru@c.ui.ac.id Kevi Burrage Advaced Coputatioal

More information

2015 Fermat Contest (Grade 11)

2015 Fermat Contest (Grade 11) The CENTRE for EDUCATION i MATHEMATICS ad COMPUTING cemc.uwaterloo.ca 015 Fermat Cotet (Grade 11) Tueday, February 4, 015 (i North America ad South America) Wededay, February 5, 015 (outide of North America

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

1. (a) If u (I : R J), there exists c 0 in R such that for all q 0, cu q (I : R J) [q] I [q] : R J [q]. Hence, if j J, for all q 0, j q (cu q ) =

1. (a) If u (I : R J), there exists c 0 in R such that for all q 0, cu q (I : R J) [q] I [q] : R J [q]. Hence, if j J, for all q 0, j q (cu q ) = Math 615, Witer 2016 Problem Set #5 Solutio 1. (a) If u (I : R J), there exit c 0 i R uch that for all q 0, cu q (I : R J) [q] I [q] : R J [q]. Hece, if j J, for all q 0, j q (cu q ) = c(ju) q I [q], o

More information

Isolated Word Recogniser

Isolated Word Recogniser Lecture 5 Iolated Word Recogitio Hidde Markov Model of peech State traitio ad aligmet probabilitie Searchig all poible aligmet Dyamic Programmig Viterbi Aligmet Iolated Word Recogitio 8. Iolated Word Recogier

More information

ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS

ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS ABOUT CHAOS AND SENSITIVITY IN TOPOLOGICAL DYNAMICS EDUARD KONTOROVICH Abstract. I this work we uify ad geeralize some results about chaos ad sesitivity. Date: March 1, 005. 1 1. Symbolic Dyamics Defiitio

More information

MAT1026 Calculus II Basic Convergence Tests for Series

MAT1026 Calculus II Basic Convergence Tests for Series MAT026 Calculus II Basic Covergece Tests for Series Egi MERMUT 202.03.08 Dokuz Eylül Uiversity Faculty of Sciece Departmet of Mathematics İzmir/TURKEY Cotets Mootoe Covergece Theorem 2 2 Series of Real

More information

The inverse eigenvalue problem for symmetric doubly stochastic matrices

The inverse eigenvalue problem for symmetric doubly stochastic matrices Liear Algebra ad its Applicatios 379 (004) 77 83 www.elsevier.com/locate/laa The iverse eigevalue problem for symmetric doubly stochastic matrices Suk-Geu Hwag a,,, Sug-Soo Pyo b, a Departmet of Mathematics

More information

Combinatorially Thinking

Combinatorially Thinking Combiatorially Thiig SIMUW 2008: July 4 25 Jeifer J Qui jjqui@uwashigtoedu Philosophy We wat to costruct our mathematical uderstadig To this ed, our goal is to situate our problems i cocrete coutig cotexts

More information

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number

Integrable Functions. { f n } is called a determining sequence for f. If f is integrable with respect to, then f d does exist as a finite real number MATH 532 Itegrable Fuctios Dr. Neal, WKU We ow shall defie what it meas for a measurable fuctio to be itegrable, show that all itegral properties of simple fuctios still hold, ad the give some coditios

More information

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + 62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of

More information

Chapter 9. Key Ideas Hypothesis Test (Two Populations)

Chapter 9. Key Ideas Hypothesis Test (Two Populations) Chapter 9 Key Idea Hypothei Tet (Two Populatio) Sectio 9-: Overview I Chapter 8, dicuio cetered aroud hypothei tet for the proportio, mea, ad tadard deviatio/variace of a igle populatio. However, ofte

More information

Ma 530 Infinite Series I

Ma 530 Infinite Series I Ma 50 Ifiite Series I Please ote that i additio to the material below this lecture icorporated material from the Visual Calculus web site. The material o sequeces is at Visual Sequeces. (To use this li

More information

GROUPOID CARDINALITY AND EGYPTIAN FRACTIONS

GROUPOID CARDINALITY AND EGYPTIAN FRACTIONS GROUPOID CARDINALITY AND EGYPTIAN FRACTIONS JULIA E. BERGNER AND CHRISTOPHER D. WALKER Abstract. I this paper we show that two very ew questios about the cardiality of groupoids reduce to very old questios

More information

Dedicated to the memory of Lev Meshalkin.

Dedicated to the memory of Lev Meshalkin. A Meshalki Theorem for Projective Geometries Matthias Beck ad Thomas Zaslavsky 2 Departmet of Mathematical Scieces State Uiversity of New York at Bighamto Bighamto, NY, U.S.A. 3902-6000 matthias@math.bighamto.edu

More information

Teacher s Marking. Guide/Answers

Teacher s Marking. Guide/Answers WOLLONGONG COLLEGE AUSRALIA eacher s Markig A College of the Uiversity of Wollogog Guide/Aswers Diploa i Iforatio echology Fial Exaiatio Autu 008 WUC Discrete Matheatics his exa represets 60% of the total

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

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

Jacobi symbols. p 1. Note: The Jacobi symbol does not necessarily distinguish between quadratic residues and nonresidues. That is, we could have ( a

Jacobi symbols. p 1. Note: The Jacobi symbol does not necessarily distinguish between quadratic residues and nonresidues. That is, we could have ( a Jacobi sybols efiitio Let be a odd positive iteger If 1, the Jacobi sybol : Z C is the costat fuctio 1 1 If > 1, it has a decopositio ( as ) a product of (ot ecessarily distict) pries p 1 p r The Jacobi

More information

Last time: Completed solution to the optimum linear filter in real-time operation

Last time: Completed solution to the optimum linear filter in real-time operation 6.3 tochatic Etimatio ad Cotrol, Fall 4 ecture at time: Completed olutio to the oimum liear filter i real-time operatio emi-free cofiguratio: t D( p) F( p) i( p) dte dp e π F( ) F( ) ( ) F( p) ( p) 4444443

More information

STA 4032 Final Exam Formula Sheet

STA 4032 Final Exam Formula Sheet Chapter 2. Probability STA 4032 Fial Eam Formula Sheet Some Baic Probability Formula: (1) P (A B) = P (A) + P (B) P (A B). (2) P (A ) = 1 P (A) ( A i the complemet of A). (3) If S i a fiite ample pace

More information

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero?

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero? 2 Lebesgue Measure I Chapter 1 we defied the cocept of a set of measure zero, ad we have observed that every coutable set is of measure zero. Here are some atural questios: If a subset E of R cotais a

More information

Name Period ALGEBRA II Chapter 1B and 2A Notes Solving Inequalities and Absolute Value / Numbers and Functions

Name Period ALGEBRA II Chapter 1B and 2A Notes Solving Inequalities and Absolute Value / Numbers and Functions Nae Period ALGEBRA II Chapter B ad A Notes Solvig Iequalities ad Absolute Value / Nubers ad Fuctios SECTION.6 Itroductio to Solvig Equatios Objectives: Write ad solve a liear equatio i oe variable. Solve

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

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

x z Increasing the size of the sample increases the power (reduces the probability of a Type II error) when the significance level remains fixed.

x z Increasing the size of the sample increases the power (reduces the probability of a Type II error) when the significance level remains fixed. ] z-tet for the mea, μ If the P-value i a mall or maller tha a pecified value, the data are tatitically igificat at igificace level. Sigificace tet for the hypothei H 0: = 0 cocerig the ukow mea of a populatio

More information

Fractional Integral Operator and Olsen Inequality in the Non-Homogeneous Classic Morrey Space

Fractional Integral Operator and Olsen Inequality in the Non-Homogeneous Classic Morrey Space It Joural of Math Aalyi, Vol 6, 202, o 3, 50-5 Fractioal Itegral Oerator ad Ole Ieuality i the No-Homogeeou Claic Morrey Sace Mohammad Imam Utoyo Deartmet of Mathematic Airlagga Uiverity, Camu C, Mulyorejo

More information

Zeros of Polynomials

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

More information

SOLVED EXAMPLES

SOLVED EXAMPLES Prelimiaries Chapter PELIMINAIES Cocept of Divisibility: A o-zero iteger t is said to be a divisor of a iteger s if there is a iteger u such that s tu I this case we write t s (i) 6 as ca be writte as

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

# 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

Axioms of Measure Theory

Axioms of Measure Theory MATH 532 Axioms of Measure Theory Dr. Neal, WKU I. The Space Throughout the course, we shall let X deote a geeric o-empty set. I geeral, we shall ot assume that ay algebraic structure exists o X so that

More information

Exercises 1 Sets and functions

Exercises 1 Sets and functions Exercises 1 Sets ad fuctios HU Wei September 6, 018 1 Basics Set theory ca be made much more rigorous ad built upo a set of Axioms. But we will cover oly some heuristic ideas. For those iterested studets,

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 Boolean Ring of Intervals

The Boolean Ring of Intervals MATH 532 Lebesgue Measure Dr. Neal, WKU We ow shall apply the results obtaied about outer measure to the legth measure o the real lie. Throughout, our space X will be the set of real umbers R. Whe ecessary,

More information

Homework 1 Solutions. The exercises are from Foundations of Mathematical Analysis by Richard Johnsonbaugh and W.E. Pfaffenberger.

Homework 1 Solutions. The exercises are from Foundations of Mathematical Analysis by Richard Johnsonbaugh and W.E. Pfaffenberger. Homewor 1 Solutios Math 171, Sprig 2010 Hery Adams The exercises are from Foudatios of Mathematical Aalysis by Richard Johsobaugh ad W.E. Pfaffeberger. 2.2. Let h : X Y, g : Y Z, ad f : Z W. Prove that

More information

ROSE WONG. f(1) f(n) where L the average value of f(n). In this paper, we will examine averages of several different arithmetic functions.

ROSE WONG. f(1) f(n) where L the average value of f(n). In this paper, we will examine averages of several different arithmetic functions. AVERAGE VALUES OF ARITHMETIC FUNCTIONS ROSE WONG Abstract. I this paper, we will preset problems ivolvig average values of arithmetic fuctios. The arithmetic fuctios we discuss are: (1)the umber of represetatios

More information

On Certain Sums Extended over Prime Factors

On Certain Sums Extended over Prime Factors Iteratioal Mathematical Forum, Vol. 9, 014, o. 17, 797-801 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.1988/imf.014.4478 O Certai Sum Exteded over Prime Factor Rafael Jakimczuk Diviió Matemática,

More information

Lecture Outline. 2 Separating Hyperplanes. 3 Banach Mazur Distance An Algorithmist s Toolkit October 22, 2009

Lecture Outline. 2 Separating Hyperplanes. 3 Banach Mazur Distance An Algorithmist s Toolkit October 22, 2009 18.409 A Algorithist s Toolkit October, 009 Lecture 1 Lecturer: Joatha Keler Scribes: Alex Levi (009) 1 Outlie Today we ll go over soe of the details fro last class ad ake precise ay details that were

More information

(ii) Two-permutations of {a, b, c}. Answer. (B) P (3, 3) = 3! (C) 3! = 6, and there are 6 items in (A). ... Answer.

(ii) Two-permutations of {a, b, c}. Answer. (B) P (3, 3) = 3! (C) 3! = 6, and there are 6 items in (A). ... Answer. SOLUTIONS Homewor 5 Due /6/19 Exercise. (a Cosider the set {a, b, c}. For each of the followig, (A list the objects described, (B give a formula that tells you how may you should have listed, ad (C verify

More information

Introduction To Discrete Mathematics

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

More information

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

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 16 11/04/2013. Ito integral. Properties

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 16 11/04/2013. Ito integral. Properties MASSACHUSES INSIUE OF ECHNOLOGY 6.65/15.7J Fall 13 Lecture 16 11/4/13 Ito itegral. Propertie Cotet. 1. Defiitio of Ito itegral. Propertie of Ito itegral 1 Ito itegral. Exitece We cotiue with the cotructio

More information

A New Type of q-szász-mirakjan Operators

A New Type of q-szász-mirakjan Operators Filoat 3:8 07, 567 568 https://doi.org/0.98/fil7867c Published by Faculty of Scieces ad Matheatics, Uiversity of Niš, Serbia Available at: http://www.pf.i.ac.rs/filoat A New Type of -Szász-Miraka Operators

More information

The Structure of Z p when p is Prime

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

More information

19.1 The dictionary problem

19.1 The dictionary problem CS125 Lecture 19 Fall 2016 19.1 The dictioary proble Cosider the followig data structural proble, usually called the dictioary proble. We have a set of ites. Each ite is a (key, value pair. Keys are i

More information

Lecture 4: Grassmannians, Finite and Affine Morphisms

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

More information

Lecture Overview. 2 Permutations and Combinations. n(n 1) (n (k 1)) = n(n 1) (n k + 1) =

Lecture Overview. 2 Permutations and Combinations. n(n 1) (n (k 1)) = n(n 1) (n k + 1) = COMPSCI 230: Discrete Mathematics for Computer Sciece April 8, 2019 Lecturer: Debmalya Paigrahi Lecture 22 Scribe: Kevi Su 1 Overview I this lecture, we begi studyig the fudametals of coutig discrete objects.

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

FACTORS OF SUMS OF POWERS OF BINOMIAL COEFFICIENTS. Dedicated to the memory of Paul Erdős. 1. Introduction. n k. f n,a =

FACTORS OF SUMS OF POWERS OF BINOMIAL COEFFICIENTS. Dedicated to the memory of Paul Erdős. 1. Introduction. n k. f n,a = FACTORS OF SUMS OF POWERS OF BINOMIAL COEFFICIENTS NEIL J. CALKIN Abstract. We prove divisibility properties for sus of powers of bioial coefficiets ad of -bioial coefficiets. Dedicated to the eory of

More information

Automated Proofs for Some Stirling Number Identities

Automated Proofs for Some Stirling Number Identities Autoated Proofs for Soe Stirlig Nuber Idetities Mauel Kauers ad Carste Scheider Research Istitute for Sybolic Coputatio Johaes Kepler Uiversity Altebergerstraße 69 A4040 Liz, Austria Subitted: Sep 1, 2007;

More information

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

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

More information

2.4 Sequences, Sequences of Sets

2.4 Sequences, Sequences of Sets 72 CHAPTER 2. IMPORTANT PROPERTIES OF R 2.4 Sequeces, Sequeces of Sets 2.4.1 Sequeces Defiitio 2.4.1 (sequece Let S R. 1. A sequece i S is a fuctio f : K S where K = { N : 0 for some 0 N}. 2. For each

More information