PHASED TILINGS AND GENERALIZED FIBONACCI IDENTITIES

Size: px
Start display at page:

Download "PHASED TILINGS AND GENERALIZED FIBONACCI IDENTITIES"

Transcription

1 appeared n: Fbonacc Quarterly 38(2000), pp PHASED TILINGS AND GENERALIZED FIBONACCI IDENTITIES Arthur T. Benjamn Dept. of Mathematcs, Harvey Mudd College, Claremont, CA Jennfer J. Qunn Dept. of Mathematcs, Occdental College, Los Angeles, CA Francs Edward Su Dept. of Mathematcs, Harvey Mudd College, Claremont, CA Introducton Fbonacc numbers arse n the soluton of many combnatoral problems. They count the number of bnary sequences wth no consecutve zeros, the number of sequences of 1 s and 2 s whch sum to a gven number, and the number of ndependent sets of a path graph. Smlar nterpretatons exst for Lucas numbers. Usng these nterpretatons, t s possble to provde combnatoral proofs whch shed lght on many nterestng Fbonacc and Lucas denttes [1, 3]. In ths paper, we extend the combnatoral approach to understand relatonshps among generalzed Fbonacc numbers. Gven G 0 and G 1, a generalzed Fbonacc sequence G 0, G 1, G 2,... s defned recursvely by G n = G n 1 + G n 2 for n 2. Two mportant specal cases are the classcal Fbonacc sequence F n (F 0 = 0 and F 1 = 1) and the Lucas sequence L n (L 0 = 2 and L 1 = 1). These sequences satsfy numerous relatonshps. Many are documented n Vajda [6], where they are proved by algebrac means. Our goal s to recount these denttes by combnatoral means. We ntroduce several combnatoral technques whch allow us to provde new proofs of nearly all the denttes n Vajda [6] nvolvng generalzed Fbonacc numbers. We show that n the framework of phased tlngs, these denttes follow naturally as the tlngs are counted, represented, and transformed n clever ways. These technques are developed n the next several sectons. In the fnal secton, we dscuss possble extensons. 2. Combnatoral Interpretaton Recall that F n+1 counts the number of sequences of 1 s and 2 s whch sum to n. Equvalently, F n+1 counts the number of ways to tle a 1 n rectangle (called an n-board consstng of cells labelled 1,..., n) wth 1 1 squares and 1 2 domnoes. For combnatoral convenence, we defne f n = F n+1. Then f n s the number of ways to tle an n-board wth squares and domnoes. When G 0 and G 1 are non-negatve ntegers, we shall obtan an analogous combnatoral nterpretaton of the generalzed Fbonacc numbers G n. Defne a phased n-tlng to be a tlng of an n-board by squares and domnoes n whch the last tle s dstngushed n a certan way. Specfcally, f the last tle s a domno, t can be assgned one of G 0 possble phases, and f the last tle s a square t can be assgned one of G 1 possble phases. For example, when G 0 = 5 and G 1 = 17, there are G 3 = 39 phased tlngs of length 3 as follows: There are 5 of the form (square, phased domno); 17 of the form (domno, phased square); and 17 of the form (square, square, phased 1

2 2 PHASED TILINGS AND GENERALIZED FIBONACCI IDENTITIES square). In general, let g 0 = G 0, g 1 = G 1, and for n 2, let g n count the number of phased n-tlngs. By condtonng on whether the frst tle s a square or domno we obtan the dentty g n = g n 1 + g n 2 for n 2. Hence g n = G n, gvng the desred nterpretaton. Ths combnatoral defnton can be extended to n = 1 and n = 0. Clearly G 1 counts the number of phased 1-tlngs. It wll be convenent to assgn the last tle of a 0-board one of the G 0 domno phases. Notce when there exsts only one domno phase and only one square phase, we recover our orgnal nterpretaton of f n. Prevous nterpretatons of the Lucas numbers L n [1, 4, 5] counted the number of ways to tle a crcular n-board by squares or domnoes. Snce L 0 = 2 and L 1 = 1, a phased n-board tlng can end wth a phase one domno, a phase two domno, or a phase one square. In all three cases, the correspondng crcular n-board tlng arses by frst glung cells n and 1 together. Tlngs that end n a phase two domno are then rotated one cell to obtan a crcular tlng wth a domno coverng cells n and Elementary Identtes Before launchng nto more sophstcated technques, we demonstrate how our combnatoral nterpretaton of G n yelds quck proofs of some basc denttes. For nstance, by condtonng on whether the last tle s a phased domno or a phased square, we mmedately obtan for n 2, G n = G 0 f n 2 + G 1 f n 1. More denttes are obtaned by condtonng on other events. Consder Identty 1 (Vajda (33)). G k = G n+2 G 1. The rght hand sde of ths equalty counts all phased (n+2)-tlngs contanng at least one domno (there are G 1 phased tlngs consstng of all squares). The left hand sde s obtaned by condtonng on the poston of the frst domno. If the frst domno covers cells n k+1 and n k+2 (0 k n), then the precedng cells are covered by squares and the remanng cells can be covered G k ways. Smlarly there are G 2n G 0 phased 2n-tlngs wth at least one square. By condtonng on the poston of the frst square we obtan Identty 2 (Vajda (34)). G 2k 1 = G 2n G 0. A phased (2n + 1)-tlng must contan a frst square, whch leads to Identty 3 (Vajda (35)). k=1 G 1 + G 2k = G 2n+1. k=1 The G 1 term on the left hand sde counts those boards that begn wth n domnoes followed by a phased square. To prove Identty 4 (Vajda (8)). G m+n = f m G n + f m 1 G n 1

3 PHASED TILINGS AND GENERALIZED FIBONACCI IDENTITIES 3 we consder whether or not a phased (m + n)-tlng can be separated nto an (unphased) m-tlng followed by a phased n-tlng. There are f m G n tlngs breakable at cell m. The unbreakable tlngs must contan a domno coverng cells m and m + 1; the remanng board can be covered f m 1 G n 1 ways. 4. Bnomal Identtes Vajda contans several denttes nvolvng generalzed Fbonacc numbers and bnomal coeffcents. All of these are specal cases of the followng two denttes: Identty 5 (Vajda (46)). Identty 6 (Vajda (66)). G n+p = G m+(t+1)p = p =0 p =0 ( ) p G n, ( ) p ft f p t 1 G m+. When n p, Identty 5 counts phased (n+p)-tlngs by condtonng on the number of domnoes that appear among the frst p tles. Gven an ntal segment of domnoes and p squares, ( ) p counts the number of ways to select the postons for the domnoes among the frst p tles. G n counts the number of ways the remanng n cells can be gven a phased tlng. Identty 6 can be seen as tryng to break a phased (m+(t+1)p)-tlng nto p unphased segments of length t followed by a phased remander. The frst segment conssts of the tles coverng cells 1 through j 1 where j 1 = t f the tlng s breakable at cell t and j 1 = t + 1 otherwse. The next segment conssts of the tles coverng cells j through j 1 + j 2 where j 2 = t f the tlng s breakable at cell j 1 + t and j 2 = t + 1 otherwse. Contnung n ths fashon we decompose our phased tlng nto p tled segments of length t or t + 1 followed by a phased remander of length at least m. Snce the length t + 1 segments must end wth a domno, the term ( ) p f t f p t 1 G m+ counts the number of phased (m + (t + 1)p)-tlngs wth exactly segments of length t. 5. Smultaneous Tlngs Identtes nvolvng squares of generalzed Fbonacc numbers suggest nvestgatng pars of phased tlngs. The rght hand sde of Identty 7 (Vajda (39)). 2 =1 G 1 G = G 2 2n G 2 0 counts ordered pars (A, B) of phased 2n-tlngs where A or B contans at least one square. To nterpret the left hand sde, we defne the parameter k X to be the frst cell of the phased tlng X covered by a square. If X s all domnoes, we set k X equal to nfnty. Snce, n ths case, at least one square exsts n (A, B), the mnmum of k A and k B must be fnte and odd. Let k = mn{k A, k B + 1}. When k s odd, A and B have domnoes coverng cells 1 through k 1 and A has a square coverng cell k. Hence the number of phased pars (A, B) wth odd k s G 2n k G 2n k+1. When k s even, A has domnoes coverng cells 1 through k and B has domnoes coverng cells 1 through k 2 wth a square coverng cell k 1. Hence the number of phased pars (A, B) wth even k s also G 2n k G 2n k+1. Settng = 2n + 1 k gves the desred dentty. Smlarly, the next dentty counts ordered pars of phased (2n + 1)-tlngs that contan an unphased square. Condtonng on the frst unphased square yelds

4 4 PHASED TILINGS AND GENERALIZED FIBONACCI IDENTITIES Identty 8 (Vajda (41)). 2n+1 =2 G 1 G = G 2 2n+1 G 2 1. In the same sprt, our next dentty condtons on the locaton of the frst domno n a par of phased tlngs. Identty 9 (Vajda (43)). G 1 G +2 = G 2 n+1 G 2 1 =1 The rght hand sde counts the number of pars (A, B) of phased (n + 1)-tlngs, where A or B contans at least one domno. Here we defne the parameter l X to be the frst cell of the phased tlng X covered by a domno. If X s all squares, we set l X equal to nfnty. Let l = mn{l A, l B }. The number of phased (n + 1)-tlng pars (A, B) where the lth cell of A s covered by a domno s G n l G n l+2 ; the number of such pars where the lth cell of A s covered by a square s G n l+1 G n l. Ths mples G n l (G n l+2 + G n l+1 ) = G 2 n+1 G 2 1. l=1 Substtutng G n l+3 for G n l+2 + G n l+1 and lettng = n l + 1 yelds the desred dentty. 6. A Transfer Procedure The denttes proved n ths secton all take advantage of the same technque. Before proceedng, we ntroduce helpful notaton. For m 0, defne G m to be the set of all phased m-tlngs wth G 0 domno phases and G 1 square phases. An element A G m created from a sequence of e 1 domnoes, e 2 squares, e 3 domnoes,..., and endng wth a phased tle can be unquely expressed as A = d e1 s e2 d e3 s e4 d et 1 s et p, where p represents the phase of the last tle. All exponents are postve except that e 1 or e t may be 0, and 2e 1 + e 2 + 2e 3 + e e t 1 + e t = m. When e t = 0, the last tle s a domno and p {1,..., G 0 }; when e t 1, the last tle s a square and p {1,..., G 1 }. Lkewse, for n 0, defne H n to be the set of all phased n-tlngs wth H 0 domno phases and H 1 square phases. Notce that the szes of G m and H n are G m and H n respectvely. We ntroduce a transfer procedure T to map an ordered par (A, B) G m H n to an ordered par (A, B ) G m 1 H n+1 where 1 m n. T has the effect of shrnkng the smaller tlng and growng the larger tlng by one unt. For such a par (A, B), defne k = mn{k A, k B }, the frst cell n A or B that s covered by a square. If the kth cell of A s covered by a square and 1 k m 1, then we transfer that square from A to the kth cell of B. Formally, before the transfer we have A = d (k 1)/2 sa and B = d (k 1)/2 b where a G m k and b H n k+1. The transfer yelds A = d (k 1)/2 a and B = d (k 1)/2 sb. If the kth cell of A s covered by a domno and 1 k m 2, then we exchange that domno wth the square n the kth cell of B. Formally, before the exchange, A = d (k+1)/2 a and B = d (k 1)/2 sb where a G m k 1 and b H n k. The exchange yelds A = d (k 1)/2 sa and B = d (k+1)/2 b. We abbrevate ths transformaton by T (A, B) = (A, B ). Notce that our rules do not allow for a phased tle to be transferred or exchanged. Lemma 1. For 1 m n, T establshes an almost one-to-one correspondence between G m H n and G m 1 H n+1. The dfference of ther szes satsfes G m H n G m 1 H n+1 = ( 1) m [G 0 H n m+2 G 1 H n m+1 ].

5 PHASED TILINGS AND GENERALIZED FIBONACCI IDENTITIES 5 Proof. Notce when T s defned, T (A, B) has the same k value as (A, B) whch makes T easy to reverse. It remans to enumerate (A, B) G m H n for whch T s undefned and (A, B ) G m 1 H n+1 that do not appear n the mage of T. When m s odd, T s undefned whenever k = m. Here, A = d (m 1)/2 a and B = d (m 1)/2 b where a G 1 and b H n m+1. Hence the doman of T contans G m H n G 1 H n m+1 elements. The elements of G m 1 H n+1 that do not appear n the mage of T have k m and are therefore of the form A = d (m 1)/2 p and B = d (m 1)/2 b where p {1,..., G 0 } and b H n m+2. Hence the mage of T conssts of G m 1 H n+1 G 0 H n m+2 elements. Snce T s one-to-one, we have when m s odd, G m H n G 1 H n m+1 = G m 1 H n+1 G 0 H n m+2. When m s even, T s undefned whenever k m and sometmes undefned when k = m 1. Specfcally, T s undefned when A = d m/2 p and B = d (m 2)/2 b where p {1,..., G 0 } and b H n m+2. Hence the doman of T contans G m H n G 0 H n m+2 elements. The elements of G m 1 H n+1 that do not appear n the mage are of the form A = d (m 2)/2 a and B = d m/2 b where a G 1 and b H n m+1. Hence the mage of T conssts of G m 1 H n+1 G 1 H n m+1 elements. Thus when m s even, we have G m H n G 0 H n m+2 = G m 1 H n+1 G 1 H n m+1. We specalze Lemma 1 by settng m = n and choosng the same ntal condtons for G n and H n to obtan Identty 10 (Vajda (28)). G n+1 G n 1 G 2 n = ( 1) n (G 2 1 G 0 G 2 ). Alternately, settng G m = F m and evaluatng Lemma 1 at m + 1, we obtan Identty 11 (Vajda (9)). For 0 m n, H n m = ( 1) m (F m+1 H n F m H n+1 ). A slghtly dfferent transfer process s used to prove Identty 12 (Vajda (10a)). For 0 m n, G n+m + ( 1) m G n m = L m G n. We construct an almost one-to-one correspondence from L m G n to G m+n, where L m denotes the set of Lucas tlngs of length m. Let (A, B) L m G n. If A ends n a (phase 1) square or a phase 1 domno, then we smply append A to the front of B to create an (m + n)-tlng that s breakable at m. Otherwse, A ends n a phase 2 domno. In ths case, before appendng A to the front of B, we transfer a unt from B to A by a smlar process. (If the frst square occurs n B, then transfer t nto the correspondng cell of A. Otherwse, the frst square of A s exchanged wth the correspondng domno n B.) Ths creates a tlng of G m+n that s unbreakable at m. When m s even, the transfer s undefned for the G n m elements of L m G n where A contans only domnoes, endng wth a phase 2 domno, and B begns wth m/2 domnos. Otherwse the transfer s one-to-one and onto G m+n. When m s odd, the transfer s always defned, but msses the G n m elements of G m+n that begn wth m domnoes. Identty 12 follows. A smlar argument establshes Identty 13 (Vajda (10b)). For 0 m n, G n+m ( 1) m G n m = F m (G n 1 + G n+1 ).

6 6 PHASED TILINGS AND GENERALIZED FIBONACCI IDENTITIES The transfer process T can be refned to allow us to shrnk and grow pars of phased tlngs by more than one unt. Specfcally, we construct an almost one-to-one correspondence between G m H n and G m h H n+h where 1 h m 1 < n. Let F n denote the set of (unphased) n-tlngs. So F n = f n. Gven (A, B) G m H n, defne a transfer process T h as follows: If A s breakable at cell h,.e., A = a 1 a 2 where a 1 F h and a 2 G m h, then we append segment a 1 to the begnnng of B. That s to say, T h (A, B) = (A, B ) where A = a 2 and B = a 1 B. If A s unbreakable at cell h,.e. A = a 1 da 2 where a 1 F h 1 and a 2 G m h 1, then let (A, B ) = T (da 2, B) and (A, B ) = (A, a 1 B ). Notce that B, when defned, wll necessarly begn wth a domno and therefore B wll be unbreakable at h. Dscrepances n T h, mappng G m H n to G m h H n+h, are proportonal (by a factor of f h 1 ) to the dscrepances n T mappng G m h+1 H n to G m h H n+1. Hence for 1 h m 1, Lemma 1 mples (1) G m H n G m h H n+h = ( 1) m h+1 f h 1 (G 0 H n m+h+1 G 1 H n m+h ). Notce that f h 1 H n m+h+1 counts the number of phased (n m + 2h)-tlngs that are breakable at h 1. Hence f h 1 H n m+h+1 = H n m+2h f h 2 H n m+h. Smlarly f h 1 G 1 = G h f h 2 G 0. So equaton (1) can be rewrtten as Rendexng, ths s equvalent to Identty 14 (Vajda (18)). G m H n G m h H n+h = ( 1) m h+1 (G 0 H n m+2h G h H n m+h ). G n+h H n+k G n H n+h+k = ( 1) n (G h H k G 0 H h+k ). Ths dentty s appled, drectly or ndrectly, by Vajda to obtan denttes (19a) through (32). 7. Bnary Sequences There are denttes nvolvng generalzed Fbonacc numbers and powers of 2. Ths leads us to nvestgate the relatonshp between bnary sequences and Fbonacc tlngs. A bnary sequence x = x 1 x 2 x n can be vewed as a set of nstructons for creatng a Fbonacc tlng of length less than or equal to n. Readng x from left to rght, we nterpret 1 s and 01 s as squares and domnoes respectvely. The constructon halts on encounterng a 00 or the end of the sequence. For example, represents the 12-tlng s 3 d 2 sd 2, represents the 9-tlng s 3 d 2 s 2, and represents the 4-tlng ds 2. Bnary sequences that begn wth 00 denote the 0-tlng. Gven n, tlngs of length n and n 1 are represented unquely by bnary sequences of length n that end wth a 1 or 0, respectvely. For k n 2, a k-tlng s represented by 2 n k 2 bnary sequences of length n snce the frst k + 2 bts are determned by the k-tlng followed by 00; the remanng n (k + 2) bts may be chosen freely. Ths yelds the followng dentty: (2) n 2 f n + f n 1 + f k 2 n k 2 = 2 n. By dvdng by 2 n, rendexng, and employng f n+1 = f n + f n 1, we obtan Identty 15 (Vajda (37a)). k=2 f k 2 2 k = 1 f n+1 2 n.

7 PHASED TILINGS AND GENERALIZED FIBONACCI IDENTITIES 7 The same strategy can be appled to phased tlngs. Here, for convenence we assume the phase s determned by the frst tle (rather than the last). The phased dentty correspondng to equaton (2) s (3) n 1 G n+1 + G n + G k 2 n k 1 = 2 n (G 0 + G 1 ). The rght hand sde counts the number of ways to select a length n bnary sequence x and a phase p. From ths we construct a length n + 1 bnary sequence. If p s a domno phase, construct the sequence 0x; f p s a square phase, construct the sequence 1x. Interpret ths new n + 1-sequence as a Fbonacc tlng n the manner dscussed prevously, and assgn the tlng the phase p. By constructon, the phase s compatble wth the frst tle. (Recall that empty tlngs are assgned a domno phase.) A phased tlng of length n + 1 or n has a unque (x, p) representaton. For 0 k n 1, a phased k-tlng has 2 n k 1 representatons. Ths establshes equaton (3). Dvdng by 2 n gves Identty 16 (Vajda (37)). n 1 G k 2 k+1 = (G 0 + G 1 ) G n+1 + G n 2 n. 8. Dscusson The technques presented n ths paper are smple but powerful countng phased tlngs enables us to gve vsual nterpretatons to expressons nvolvng generalzed Fbonacc numbers. Ths approach facltates a clearer understandng of exstng denttes, and can be extended n a number of ways. For nstance, by allowng tles of length 3 or longer, we can gve combnatoral nterpretaton to hgher-order recurrences; however, the ntal condtons do not work out so neatly, snce the number of phases that the last tle admts do not correspond wth the ntal condtons of the recurrence. Another possblty s to allow every square and domno to possess a number of phases, dependng on ts locaton. Ths leads to recurrences of the form x n = a n x n 1 + b n x n 2. The specal case where b n = 1 for all n provdes a tlng nterpretaton of the numerators and denomnators of smple fnte contnued fractons and s treated n [2]. 9. Acknowledgment The authors gratefully acknowledge the referee for many valuable suggestons. References [1] A. T. Benjamn and J. J. Qunn, Recountng Fbonacc and Lucas Identtes, College Mathematcs Journal, to appear. [2] A. T. Benjamn, J. J. Qunn, and F. E. Su, Countng on Contnued Fractons, preprnt. [3] R. C. Brgham, R. M. Caron, P. Z. Chnn, and R. P. Grmald, A tlng scheme for the Fbonacc numbers, J. Recreatonal Math., Vol 28, No. 1 ( ) [4] L. Comtet, Advanced combnatorcs: the art of fnte and nfnte expansons, D. Redel Publshng Co., Dordrecht, Holland, [5] H. Prodnger and R. F. Tchy, Fbonacc numbers of graphs, Fbonacc Quarterly, Vol. 20 (1982) [6] S. Vajda, Fbonacc and Lucas Numbers, and the Golden Secton, John Wley and Sons, New York, AMS Subject Classfcaton Numbers: 05A19, 11B39.

A combinatorial proof of multiple angle formulas involving Fibonacci and Lucas numbers

A combinatorial proof of multiple angle formulas involving Fibonacci and Lucas numbers Notes on Number Theory and Dscrete Mathematcs ISSN 1310 5132 Vol. 20, 2014, No. 5, 35 39 A combnatoral proof of multple angle formulas nvolvng Fbonacc and Lucas numbers Fernando Córes 1 and Dego Marques

More information

Combinatorial Identities for Incomplete Tribonacci Polynomials

Combinatorial Identities for Incomplete Tribonacci Polynomials Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015, pp. 40 49 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM Combnatoral Identtes for Incomplete

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

Affine transformations and convexity

Affine transformations and convexity Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/

More information

Example: (13320, 22140) =? Solution #1: The divisors of are 1, 2, 3, 4, 5, 6, 9, 10, 12, 15, 18, 20, 27, 30, 36, 41,

Example: (13320, 22140) =? Solution #1: The divisors of are 1, 2, 3, 4, 5, 6, 9, 10, 12, 15, 18, 20, 27, 30, 36, 41, The greatest common dvsor of two ntegers a and b (not both zero) s the largest nteger whch s a common factor of both a and b. We denote ths number by gcd(a, b), or smply (a, b) when there s no confuson

More information

Determinants Containing Powers of Generalized Fibonacci Numbers

Determinants Containing Powers of Generalized Fibonacci Numbers 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol 19 (2016), Artcle 1671 Determnants Contanng Powers of Generalzed Fbonacc Numbers Aram Tangboonduangjt and Thotsaporn Thanatpanonda Mahdol Unversty Internatonal

More information

arxiv: v1 [math.co] 12 Sep 2014

arxiv: v1 [math.co] 12 Sep 2014 arxv:1409.3707v1 [math.co] 12 Sep 2014 On the bnomal sums of Horadam sequence Nazmye Ylmaz and Necat Taskara Department of Mathematcs, Scence Faculty, Selcuk Unversty, 42075, Campus, Konya, Turkey March

More information

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

Foundations of Arithmetic

Foundations of Arithmetic Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an

More information

THE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens

THE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens THE CHINESE REMAINDER THEOREM KEITH CONRAD We should thank the Chnese for ther wonderful remander theorem. Glenn Stevens 1. Introducton The Chnese remander theorem says we can unquely solve any par of

More information

HMMT February 2016 February 20, 2016

HMMT February 2016 February 20, 2016 HMMT February 016 February 0, 016 Combnatorcs 1. For postve ntegers n, let S n be the set of ntegers x such that n dstnct lnes, no three concurrent, can dvde a plane nto x regons (for example, S = {3,

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence Remarks on the Propertes of a Quas-Fbonacc-lke Polynomal Sequence Brce Merwne LIU Brooklyn Ilan Wenschelbaum Wesleyan Unversty Abstract Consder the Quas-Fbonacc-lke Polynomal Sequence gven by F 0 = 1,

More information

SL n (F ) Equals its Own Derived Group

SL n (F ) Equals its Own Derived Group Internatonal Journal of Algebra, Vol. 2, 2008, no. 12, 585-594 SL n (F ) Equals ts Own Derved Group Jorge Macel BMCC-The Cty Unversty of New York, CUNY 199 Chambers street, New York, NY 10007, USA macel@cms.nyu.edu

More information

Phased Tilings and Generalized Fibonacci Identities

Phased Tilings and Generalized Fibonacci Identities Claremont Colleges Scholarship @ Claremont All HMC Faculty Publications and Research HMC Faculty Scholarship 6-1-2000 Phased Tilings and Generalized Fibonacci Identities Arthur T. Benjamin Harvey Mudd

More information

Self-complementing permutations of k-uniform hypergraphs

Self-complementing permutations of k-uniform hypergraphs Dscrete Mathematcs Theoretcal Computer Scence DMTCS vol. 11:1, 2009, 117 124 Self-complementng permutatons of k-unform hypergraphs Artur Szymańsk A. Paweł Wojda Faculty of Appled Mathematcs, AGH Unversty

More information

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP C O L L O Q U I U M M A T H E M A T I C U M VOL. 80 1999 NO. 1 FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP BY FLORIAN K A I N R A T H (GRAZ) Abstract. Let H be a Krull monod wth nfnte class

More information

arxiv: v1 [math.ho] 18 May 2008

arxiv: v1 [math.ho] 18 May 2008 Recurrence Formulas for Fbonacc Sums Adlson J. V. Brandão, João L. Martns 2 arxv:0805.2707v [math.ho] 8 May 2008 Abstract. In ths artcle we present a new recurrence formula for a fnte sum nvolvng the Fbonacc

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

Games of Threats. Elon Kohlberg Abraham Neyman. Working Paper

Games of Threats. Elon Kohlberg Abraham Neyman. Working Paper Games of Threats Elon Kohlberg Abraham Neyman Workng Paper 18-023 Games of Threats Elon Kohlberg Harvard Busness School Abraham Neyman The Hebrew Unversty of Jerusalem Workng Paper 18-023 Copyrght 2017

More information

Polynomials. 1 More properties of polynomials

Polynomials. 1 More properties of polynomials Polynomals 1 More propertes of polynomals Recall that, for R a commutatve rng wth unty (as wth all rngs n ths course unless otherwse noted), we defne R[x] to be the set of expressons n =0 a x, where a

More information

Anti-van der Waerden numbers of 3-term arithmetic progressions.

Anti-van der Waerden numbers of 3-term arithmetic progressions. Ant-van der Waerden numbers of 3-term arthmetc progressons. Zhanar Berkkyzy, Alex Schulte, and Mchael Young Aprl 24, 2016 Abstract The ant-van der Waerden number, denoted by aw([n], k), s the smallest

More information

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

Maximizing the number of nonnegative subsets

Maximizing the number of nonnegative subsets Maxmzng the number of nonnegatve subsets Noga Alon Hao Huang December 1, 213 Abstract Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what s the maxmum

More information

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve

More information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION

More information

1 Generating functions, continued

1 Generating functions, continued Generatng functons, contnued. Exponental generatng functons and set-parttons At ths pont, we ve come up wth good generatng-functon dscussons based on 3 of the 4 rows of our twelvefold way. Wll our nteger-partton

More information

Representation theory and quantum mechanics tutorial Representation theory and quantum conservation laws

Representation theory and quantum mechanics tutorial Representation theory and quantum conservation laws Representaton theory and quantum mechancs tutoral Representaton theory and quantum conservaton laws Justn Campbell August 1, 2017 1 Generaltes on representaton theory 1.1 Let G GL m (R) be a real algebrac

More information

Graph Reconstruction by Permutations

Graph Reconstruction by Permutations Graph Reconstructon by Permutatons Perre Ille and Wllam Kocay* Insttut de Mathémathques de Lumny CNRS UMR 6206 163 avenue de Lumny, Case 907 13288 Marselle Cedex 9, France e-mal: lle@ml.unv-mrs.fr Computer

More information

A summation on Bernoulli numbers

A summation on Bernoulli numbers Journal of Number Theory 111 (005 37 391 www.elsever.com/locate/jnt A summaton on Bernoull numbers Kwang-Wu Chen Department of Mathematcs and Computer Scence Educaton, Tape Muncpal Teachers College, No.

More information

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices Internatonal Mathematcal Forum, Vol 11, 2016, no 11, 513-520 HIKARI Ltd, wwwm-hkarcom http://dxdoorg/1012988/mf20166442 The Jacobsthal and Jacobsthal-Lucas Numbers va Square Roots of Matrces Saadet Arslan

More information

Zhi-Wei Sun (Nanjing)

Zhi-Wei Sun (Nanjing) Acta Arth. 1262007, no. 4, 387 398. COMBINATORIAL CONGRUENCES AND STIRLING NUMBERS Zh-We Sun Nanng Abstract. In ths paper we obtan some sophstcated combnatoral congruences nvolvng bnomal coeffcents and

More information

8.6 The Complex Number System

8.6 The Complex Number System 8.6 The Complex Number System Earler n the chapter, we mentoned that we cannot have a negatve under a square root, snce the square of any postve or negatve number s always postve. In ths secton we want

More information

Binomial transforms of the modified k-fibonacci-like sequence

Binomial transforms of the modified k-fibonacci-like sequence Internatonal Journal of Mathematcs and Computer Scence, 14(2019, no. 1, 47 59 M CS Bnomal transforms of the modfed k-fbonacc-lke sequence Youngwoo Kwon Department of mathematcs Korea Unversty Seoul, Republc

More information

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

COMPLEX NUMBERS AND QUADRATIC EQUATIONS COMPLEX NUMBERS AND QUADRATIC EQUATIONS INTRODUCTION We know that x 0 for all x R e the square of a real number (whether postve, negatve or ero) s non-negatve Hence the equatons x, x, x + 7 0 etc are not

More information

A new construction of 3-separable matrices via an improved decoding of Macula s construction

A new construction of 3-separable matrices via an improved decoding of Macula s construction Dscrete Optmzaton 5 008 700 704 Contents lsts avalable at ScenceDrect Dscrete Optmzaton journal homepage: wwwelsevercom/locate/dsopt A new constructon of 3-separable matrces va an mproved decodng of Macula

More information

Perfect Competition and the Nash Bargaining Solution

Perfect Competition and the Nash Bargaining Solution Perfect Competton and the Nash Barganng Soluton Renhard John Department of Economcs Unversty of Bonn Adenauerallee 24-42 53113 Bonn, Germany emal: rohn@un-bonn.de May 2005 Abstract For a lnear exchange

More information

First day August 1, Problems and Solutions

First day August 1, Problems and Solutions FOURTH INTERNATIONAL COMPETITION FOR UNIVERSITY STUDENTS IN MATHEMATICS July 30 August 4, 997, Plovdv, BULGARIA Frst day August, 997 Problems and Solutons Problem. Let {ε n } n= be a sequence of postve

More information

2.3 Nilpotent endomorphisms

2.3 Nilpotent endomorphisms s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms

More information

The binomial transforms of the generalized (s, t )-Jacobsthal matrix sequence

The binomial transforms of the generalized (s, t )-Jacobsthal matrix sequence Int. J. Adv. Appl. Math. and Mech. 6(3 (2019 14 20 (ISSN: 2347-2529 Journal homepage: www.jaamm.com IJAAMM Internatonal Journal of Advances n Appled Mathematcs and Mechancs The bnomal transforms of the

More information

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009 College of Computer & Informaton Scence Fall 2009 Northeastern Unversty 20 October 2009 CS7880: Algorthmc Power Tools Scrbe: Jan Wen and Laura Poplawsk Lecture Outlne: Prmal-dual schema Network Desgn:

More information

h-analogue of Fibonacci Numbers

h-analogue of Fibonacci Numbers h-analogue of Fbonacc Numbers arxv:090.0038v [math-ph 30 Sep 009 H.B. Benaoum Prnce Mohammad Unversty, Al-Khobar 395, Saud Araba Abstract In ths paper, we ntroduce the h-analogue of Fbonacc numbers for

More information

Random Walks on Digraphs

Random Walks on Digraphs Random Walks on Dgraphs J. J. P. Veerman October 23, 27 Introducton Let V = {, n} be a vertex set and S a non-negatve row-stochastc matrx (.e. rows sum to ). V and S defne a dgraph G = G(V, S) and a drected

More information

arxiv: v1 [math.co] 1 Mar 2014

arxiv: v1 [math.co] 1 Mar 2014 Unon-ntersectng set systems Gyula O.H. Katona and Dánel T. Nagy March 4, 014 arxv:1403.0088v1 [math.co] 1 Mar 014 Abstract Three ntersecton theorems are proved. Frst, we determne the sze of the largest

More information

= z 20 z n. (k 20) + 4 z k = 4

= z 20 z n. (k 20) + 4 z k = 4 Problem Set #7 solutons 7.2.. (a Fnd the coeffcent of z k n (z + z 5 + z 6 + z 7 + 5, k 20. We use the known seres expanson ( n+l ( z l l z n below: (z + z 5 + z 6 + z 7 + 5 (z 5 ( + z + z 2 + z + 5 5

More information

Characterizing the properties of specific binomial coefficients in congruence relations

Characterizing the properties of specific binomial coefficients in congruence relations Eastern Mchgan Unversty DgtalCommons@EMU Master's Theses and Doctoral Dssertatons Master's Theses, and Doctoral Dssertatons, and Graduate Capstone Projects 7-15-2015 Characterzng the propertes of specfc

More information

Bernoulli Numbers and Polynomials

Bernoulli Numbers and Polynomials Bernoull Numbers and Polynomals T. Muthukumar tmk@tk.ac.n 17 Jun 2014 The sum of frst n natural numbers 1, 2, 3,..., n s n n(n + 1 S 1 (n := m = = n2 2 2 + n 2. Ths formula can be derved by notng that

More information

Randić Energy and Randić Estrada Index of a Graph

Randić Energy and Randić Estrada Index of a Graph EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 5, No., 202, 88-96 ISSN 307-5543 www.ejpam.com SPECIAL ISSUE FOR THE INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND ALGEBRA 29 JUNE -02JULY 20, ISTANBUL

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

More information

A new Approach for Solving Linear Ordinary Differential Equations

A new Approach for Solving Linear Ordinary Differential Equations , ISSN 974-57X (Onlne), ISSN 974-5718 (Prnt), Vol. ; Issue No. 1; Year 14, Copyrght 13-14 by CESER PUBLICATIONS A new Approach for Solvng Lnear Ordnary Dfferental Equatons Fawz Abdelwahd Department of

More information

Supplement: Proofs and Technical Details for The Solution Path of the Generalized Lasso

Supplement: Proofs and Technical Details for The Solution Path of the Generalized Lasso Supplement: Proofs and Techncal Detals for The Soluton Path of the Generalzed Lasso Ryan J. Tbshran Jonathan Taylor In ths document we gve supplementary detals to the paper The Soluton Path of the Generalzed

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

On the set of natural numbers

On the set of natural numbers On the set of natural numbers by Jalton C. Ferrera Copyrght 2001 Jalton da Costa Ferrera Introducton The natural numbers have been understood as fnte numbers, ths wor tres to show that the natural numbers

More information

Module 9. Lecture 6. Duality in Assignment Problems

Module 9. Lecture 6. Duality in Assignment Problems Module 9 1 Lecture 6 Dualty n Assgnment Problems In ths lecture we attempt to answer few other mportant questons posed n earler lecture for (AP) and see how some of them can be explaned through the concept

More information

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

More information

Fundamental loop-current method using virtual voltage sources technique for special cases

Fundamental loop-current method using virtual voltage sources technique for special cases Fundamental loop-current method usng vrtual voltage sources technque for specal cases George E. Chatzaraks, 1 Marna D. Tortorel 1 and Anastasos D. Tzolas 1 Electrcal and Electroncs Engneerng Departments,

More information

Formulas for the Determinant

Formulas for the Determinant page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use

More information

Group Theory Worksheet

Group Theory Worksheet Jonathan Loss Group Theory Worsheet Goals: To ntroduce the student to the bascs of group theory. To provde a hstorcal framewor n whch to learn. To understand the usefulness of Cayley tables. To specfcally

More information

12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA. 4. Tensor product

12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA. 4. Tensor product 12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA Here s an outlne of what I dd: (1) categorcal defnton (2) constructon (3) lst of basc propertes (4) dstrbutve property (5) rght exactness (6) localzaton

More information

Ballot Paths Avoiding Depth Zero Patterns

Ballot Paths Avoiding Depth Zero Patterns Ballot Paths Avodng Depth Zero Patterns Henrch Nederhausen and Shaun Sullvan Florda Atlantc Unversty, Boca Raton, Florda nederha@fauedu, ssull21@fauedu 1 Introducton In a paper by Sapounaks, Tasoulas,

More information

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation Nonl. Analyss and Dfferental Equatons, ol., 4, no., 5 - HIKARI Ltd, www.m-har.com http://dx.do.org/.988/nade.4.456 Asymptotcs of the Soluton of a Boundary alue Problem for One-Characterstc Dfferental Equaton

More information

Beyond Zudilin s Conjectured q-analog of Schmidt s problem

Beyond Zudilin s Conjectured q-analog of Schmidt s problem Beyond Zudln s Conectured q-analog of Schmdt s problem Thotsaporn Ae Thanatpanonda thotsaporn@gmalcom Mathematcs Subect Classfcaton: 11B65 33B99 Abstract Usng the methodology of (rgorous expermental mathematcs

More information

n ). This is tight for all admissible values of t, k and n. k t + + n t

n ). This is tight for all admissible values of t, k and n. k t + + n t MAXIMIZING THE NUMBER OF NONNEGATIVE SUBSETS NOGA ALON, HAROUT AYDINIAN, AND HAO HUANG Abstract. Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what

More information

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all

More information

FORMULAS FOR BINOMIAL SUMS INCLUDING POWERS OF FIBONACCI AND LUCAS NUMBERS

FORMULAS FOR BINOMIAL SUMS INCLUDING POWERS OF FIBONACCI AND LUCAS NUMBERS U.P.B. Sc. Bull., Seres A, Vol. 77, Iss. 4, 015 ISSN 13-707 FORMULAS FOR BINOMIAL SUMS INCLUDING POWERS OF FIBONACCI AND LUCAS NUMBERS Erah KILIÇ 1, Iler AKKUS, Neşe ÖMÜR, Yücel Türer ULUTAŞ3 Recently

More information

COMBINATORIAL IDENTITIES DERIVING FROM THE n-th POWER OF A 2 2 MATRIX

COMBINATORIAL IDENTITIES DERIVING FROM THE n-th POWER OF A 2 2 MATRIX COMBINATORIAL IDENTITIES DERIVING FROM THE n-th POWER OF A MATRIX J Mc Laughln 1 Mathematcs Department Trnty College 300 Summt Street, Hartford, CT 06106-3100 amesmclaughln@trncolledu Receved:, Accepted:,

More information

Lecture 5 Decoding Binary BCH Codes

Lecture 5 Decoding Binary BCH Codes Lecture 5 Decodng Bnary BCH Codes In ths class, we wll ntroduce dfferent methods for decodng BCH codes 51 Decodng the [15, 7, 5] 2 -BCH Code Consder the [15, 7, 5] 2 -code C we ntroduced n the last lecture

More information

Kernel Methods and SVMs Extension

Kernel Methods and SVMs Extension Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general

More information

ISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 3, Issue 1, July 2013

ISSN: ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 3, Issue 1, July 2013 ISSN: 2277-375 Constructon of Trend Free Run Orders for Orthogonal rrays Usng Codes bstract: Sometmes when the expermental runs are carred out n a tme order sequence, the response can depend on the run

More information

CHAPTER 17 Amortized Analysis

CHAPTER 17 Amortized Analysis CHAPTER 7 Amortzed Analyss In an amortzed analyss, the tme requred to perform a sequence of data structure operatons s averaged over all the operatons performed. It can be used to show that the average

More information

CHAPTER III Neural Networks as Associative Memory

CHAPTER III Neural Networks as Associative Memory CHAPTER III Neural Networs as Assocatve Memory Introducton One of the prmary functons of the bran s assocatve memory. We assocate the faces wth names, letters wth sounds, or we can recognze the people

More information

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,

More information

1 Generating functions, continued

1 Generating functions, continued Generatng functons, contnued. Generatng functons and parttons We can make use of generatng functons to answer some questons a bt more restrctve than we ve done so far: Queston : Fnd a generatng functon

More information

An Introduction to Morita Theory

An Introduction to Morita Theory An Introducton to Morta Theory Matt Booth October 2015 Nov. 2017: made a few revsons. Thanks to Nng Shan for catchng a typo. My man reference for these notes was Chapter II of Bass s book Algebrac K-Theory

More information

Convexity preserving interpolation by splines of arbitrary degree

Convexity preserving interpolation by splines of arbitrary degree Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete

More information

Edge Isoperimetric Inequalities

Edge Isoperimetric Inequalities November 7, 2005 Ross M. Rchardson Edge Isopermetrc Inequaltes 1 Four Questons Recall that n the last lecture we looked at the problem of sopermetrc nequaltes n the hypercube, Q n. Our noton of boundary

More information

A note on a 2-enumeration of antisymmetric monotone triangles

A note on a 2-enumeration of antisymmetric monotone triangles ...... A note on a -enumeraton of antsymmetrc monotone trangles arxv:1410.811v3 [math.co] 18 Jul 015 Tr La Insttute for Mathematcs and ts Applcatons Unversty of Mnnesota Mnneapols, MN 55455 Emal: tmla@ma.umn.edu

More information

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law: CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and

More information

FINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN

FINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN FINITELY-GENERTED MODULES OVER PRINCIPL IDEL DOMIN EMMNUEL KOWLSKI Throughout ths note, s a prncpal deal doman. We recall the classfcaton theorem: Theorem 1. Let M be a fntely-generated -module. (1) There

More information

Problem Set 9 Solutions

Problem Set 9 Solutions Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem

More information

THERE ARE INFINITELY MANY FIBONACCI COMPOSITES WITH PRIME SUBSCRIPTS

THERE ARE INFINITELY MANY FIBONACCI COMPOSITES WITH PRIME SUBSCRIPTS Research and Communcatons n Mathematcs and Mathematcal Scences Vol 10, Issue 2, 2018, Pages 123-140 ISSN 2319-6939 Publshed Onlne on November 19, 2018 2018 Jyot Academc Press http://jyotacademcpressorg

More information

Appendix B. Criterion of Riemann-Stieltjes Integrability

Appendix B. Criterion of Riemann-Stieltjes Integrability Appendx B. Crteron of Remann-Steltes Integrablty Ths note s complementary to [R, Ch. 6] and [T, Sec. 3.5]. The man result of ths note s Theorem B.3, whch provdes the necessary and suffcent condtons for

More information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 5153 Classical Mechanics. Principle of Virtual Work-1 P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

arxiv:cs.cv/ Jun 2000

arxiv:cs.cv/ Jun 2000 Correlaton over Decomposed Sgnals: A Non-Lnear Approach to Fast and Effectve Sequences Comparson Lucano da Fontoura Costa arxv:cs.cv/0006040 28 Jun 2000 Cybernetc Vson Research Group IFSC Unversty of São

More information

CONJUGACY IN THOMPSON S GROUP F. 1. Introduction

CONJUGACY IN THOMPSON S GROUP F. 1. Introduction CONJUGACY IN THOMPSON S GROUP F NICK GILL AND IAN SHORT Abstract. We complete the program begun by Brn and Squer of charactersng conjugacy n Thompson s group F usng the standard acton of F as a group of

More information

Lecture Note 3. Eshelby s Inclusion II

Lecture Note 3. Eshelby s Inclusion II ME340B Elastcty of Mcroscopc Structures Stanford Unversty Wnter 004 Lecture Note 3. Eshelby s Incluson II Chrs Wenberger and We Ca c All rghts reserved January 6, 004 Contents 1 Incluson energy n an nfnte

More information

Exercise Solutions to Real Analysis

Exercise Solutions to Real Analysis xercse Solutons to Real Analyss Note: References refer to H. L. Royden, Real Analyss xersze 1. Gven any set A any ɛ > 0, there s an open set O such that A O m O m A + ɛ. Soluton 1. If m A =, then there

More information

NP-Completeness : Proofs

NP-Completeness : Proofs NP-Completeness : Proofs Proof Methods A method to show a decson problem Π NP-complete s as follows. (1) Show Π NP. (2) Choose an NP-complete problem Π. (3) Show Π Π. A method to show an optmzaton problem

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

LECTURE 9 CANONICAL CORRELATION ANALYSIS

LECTURE 9 CANONICAL CORRELATION ANALYSIS LECURE 9 CANONICAL CORRELAION ANALYSIS Introducton he concept of canoncal correlaton arses when we want to quantfy the assocatons between two sets of varables. For example, suppose that the frst set of

More information

Some congruences related to harmonic numbers and the terms of the second order sequences

Some congruences related to harmonic numbers and the terms of the second order sequences Mathematca Moravca Vol. 0: 06, 3 37 Some congruences related to harmonc numbers the terms of the second order sequences Neşe Ömür Sbel Koaral Abstract. In ths aer, wth hels of some combnatoral denttes,

More information

12. The Hamilton-Jacobi Equation Michael Fowler

12. The Hamilton-Jacobi Equation Michael Fowler 1. The Hamlton-Jacob Equaton Mchael Fowler Back to Confguraton Space We ve establshed that the acton, regarded as a functon of ts coordnate endponts and tme, satsfes ( ) ( ) S q, t / t+ H qpt,, = 0, and

More information

Short running title: A generating function approach A GENERATING FUNCTION APPROACH TO COUNTING THEOREMS FOR SQUARE-FREE POLYNOMIALS AND MAXIMAL TORI

Short running title: A generating function approach A GENERATING FUNCTION APPROACH TO COUNTING THEOREMS FOR SQUARE-FREE POLYNOMIALS AND MAXIMAL TORI Short runnng ttle: A generatng functon approach A GENERATING FUNCTION APPROACH TO COUNTING THEOREMS FOR SQUARE-FREE POLYNOMIALS AND MAXIMAL TORI JASON FULMAN Abstract. A recent paper of Church, Ellenberg,

More information

On quasiperfect numbers

On quasiperfect numbers Notes on Number Theory and Dscrete Mathematcs Prnt ISSN 1310 5132, Onlne ISSN 2367 8275 Vol. 23, 2017, No. 3, 73 78 On quasperfect numbers V. Sva Rama Prasad 1 and C. Suntha 2 1 Nalla Malla Reddy Engneerng

More information

TAIL BOUNDS FOR SUMS OF GEOMETRIC AND EXPONENTIAL VARIABLES

TAIL BOUNDS FOR SUMS OF GEOMETRIC AND EXPONENTIAL VARIABLES TAIL BOUNDS FOR SUMS OF GEOMETRIC AND EXPONENTIAL VARIABLES SVANTE JANSON Abstract. We gve explct bounds for the tal probabltes for sums of ndependent geometrc or exponental varables, possbly wth dfferent

More information

Hyper-Sums of Powers of Integers and the Akiyama-Tanigawa Matrix

Hyper-Sums of Powers of Integers and the Akiyama-Tanigawa Matrix 6 Journal of Integer Sequences, Vol 8 (00), Artcle 0 Hyper-Sums of Powers of Integers and the Ayama-Tangawa Matrx Yoshnar Inaba Toba Senor Hgh School Nshujo, Mnam-u Kyoto 60-89 Japan nava@yoto-benejp Abstract

More information