VASANTI N BHAT-NAYAK and UJWALA N DESHMUKH*

Size: px
Start display at page:

Download "VASANTI N BHAT-NAYAK and UJWALA N DESHMUKH*"

Transcription

1 Proc. ndan Acad. Sc. (Math. Sc.), Vol. 106, No. 2, May 1996, pp Prnted n nda New famles of graceful banana trees VASAN N BHA-NAYAK and UJWALA N DESHMUKH* Department of Mathematcs, Unversty of Bombay, Vdyanagar, Bombay , nda * Mthba College of Arts and Scence, Vle Parle, Bombay , nda MS receved 31 January 1994; revsed 24 July 1995 Abstract. Consder a famly of stars. ake a new vertex. Jon one end-vertex of each star to ths new vertex. he tree so obtaned s known as a banana tree. t s proved that the banana trees correspondng to the famly of stars ) (KL1,K1, 2... Kla_l,(otl)KLt, Kl,~ 1... KL.), o~>~0, ) (2KL,2KL2... 2K,t_,(~2)KLt, 2KL,... 2KL,), 0~<~<tand ) (3KL,3KL2... 3K1,.) are graceful. Keywords. rees; graceful. 1. ntroducton A graph G wth p vertces and q edges s graceful f there s an njectve map q~ from the vertex set V of G nto (0, 1... q) such that the nduced map ~from edge set E of G nto (1, 2... q) defned by ~(e) = kb(u) - ~b(v)[ where e = uv, s surjectve. Such a ~b s known as a graceful labelng of G, ~(e) s known as weght of e nduced by c~. A tree s a connected acyclc graph. For a tree q = p - 1. A well-known conjecture due to Rngel and Kotzg [3, 2] s that all trees are graceful. hs conjecture s stll unsettled. A banana tree [1] s one obtaned from a famly of stars by jonng one end-vertex of each star to a new vertex. We prove that a banana tree correspondng to the famly of stars (K~,, K1, 2... Kl,t- 1, (0c 1) Kl,t, K 1,t 1... K,,), 0 <~ ~ s graceful when ~ < t. Usng ths result we show that a banana tree obtaned from the famly of stars (2Kl,1,2K1, z... 2Kl,t- 1, (~ 2) Kn, 2Kl,t K1.,) s graceful when 0 ~< ~ < t. Chen, L and Yeh [-1] have proved that a banana tree obtaned from the famly of stars (2Kl,l,2K1, K1,.) s graceful. We gve a dfferent graceful labelng for ths banana tree and use t to establsh that a banana tree obtaned from the famly of stars (3K1,1,3K1,2...,3K1,.) s graceful. he banana tree obtaned from the famly of stars (K1,1, KL2,... K,.) s known as a standard banana tree [1] and we denote t by SB". We also establsh that a banana tree correspondng to the famly of stars (K,,K1, 2... Kl,t_l,(ot "4-1)Kt,t, Ka,t a... KL. ), ~>~ t, s graceful. However, our graceful labelng here s not amenable to combnng ths banana tree wth the standard banana tree SB" to get a gracefully labeled banana tree whch has (2K1,1,2K1, Kl,t_ 1,(ct 2)Km,2Km K1,.) as the famly of stars when ~/> t unlke the case when 0t < t. We use the followng termnology. Consder a banana tree obtaned from the famly of stars (K 1... K , Kl,x.). he new vertex to whch these stars are attached s called the apex. he end-vertces of these stars whch are joned to the apex are called 201

2 202 l/asant N Bhat-Nayak and Ujwala N Deshmukh *.o ~ * u247 ~~ ~ u,.q!! u u E --F B -F o 8 uq ~ ~ 4- ~ ~ ~ 247 d- : H V -F d--k ~ H 247 bo t"xl ~ -F o-t ~g.q Jr Jr.=_ b5 0 Z

3 New famles of graceful banana trees 203 lnk vertces. he vertex of Kl,x, of degree x s called ts central vertex. Note that all vertces of K.~, other than the central vertex and the lnk vertex are end-vertces of the banana tree. 2. Graceful labelng of SB"(t, ~e), ~ < t he banana tree obtaned from the famly of stars (K 1.1' K K la- 1, (~ 1) K.,, K1,,1... K t,,) s denoted by SB"(t, ~), where ~ < t. Clearly, SB"(t, ~) s a tree wth q = (n(n 1)/2) n 0ct 0~ edges. he star K1., s repreated ~ 1 tmes n the famly. We denote them by K 1 r,'*~ ~*-, ~c*,, t' ~1, t~ "~1, t'" " "' ~ 1,," able 1 ndcates the labelng of SB"(t, ~), 9 < t and also the nduced weghts of the q edges and clearly ponts out that ths labelng s graceful. Label 0 s gven to the apex. Fgure 1 shows a graceful labelng of 8B7(5, 3) gven as per table 1. For convenence, the apex and the lnk edges are not drawn. he topmost vertex of each star s ts lnk vertex. 3. Graceful labelng of 2 - SB'(t, a~), a~ < t he banana tree correspondng to the famly of stars (2K1.1,2K1, K1, t-1, (~ 2)Kl.,,2K1., x... 2K1.,) s denoted by 2-SB"(t, ct) where ~ < t. he banana tree 2 - SB"(t, ~) can be thought of as the one obtaned from the standard banana tree SB" and the banana tree SB"(t, ~), ~ < t, by dentfyng ther apex vertces. Chen, L and Yeh [ 1] have gven a graceful (n fact nterlaced) labelng of S B" whch s gven n table 2. Fgure 2 gves a graceful labelng of SB 7. Now we gve an algorthm for obtanng a graceful labelng of 2- SB"(t, ~), ~ < t, us~ng tle graceful labelngs of SB"(t, ~) and SB" as gven n tables 1 and 2. t } ~, t. 1 t.o Fgure 1. Graceful labelng of SB 7(5, 3) : Fgure 2. Graceful labelng of SB 7.

4 204 l/asant N Bhat-Nayak and Ujwala N Deshmukh -- o H, ~ q-!!!! 1 fl ~o"s ~ ~ o ~ -F Jr.t=.2.B ~ 0 --g.-g 4-.=_..3,.r 0 Z

5 SB" Algorthm New famles of graceful banana trees 205 Step 1. dentfy the apex vertces of SB" and SB" (t, e), e < t. Gve label n to the apex of 2 - SB"(t, e) thus obtaned. Step 2. Add n to each label of SB"(t,e) except to the apex whch s now the apex of 2 - SB"(t, e) and s covered by step 1. Step 3. For all the central vertces of SB ~ change label x to n - x. Step 4. For all other vertces of SB" change label x to n z 4n e(t 1) 1 - x. Remark. Note that q(2 - SB"(t, e)) = n 2 3n e(t 1). Also note that x >~ n 1. able 3 gves the edge weghts of 2 - SB"(t, ~), ~ < t, when ths algorthm s executed. able 3 does not nclude the edge weghts of edges from SB"(t, e) part of 2 - SB"(t, e) snce they are exactly the same as those of SB"(t, ~) and these are already lsted n table 1. hese account for weghts 1 to ((n 2 3n)/2) e(t 1) = q(sb"(t, e)). Let f12 = (( n2 3n)/2) ~(t 1) = q(sb"(t,~)). he edge weghts (f12 1) to (q(2 - SB"(t, e) = fl2((n 2 3n)/2) are covered by the edges of SB * part of 2 - SB"(t, ~), Fgure3 gves a graceful labelng of 2-SB7(5,3) obtaned by our technque. Fgure 3 s to be read wth fgures 1 and 2. As before, the apex and lnk edges are not shown. he apex gets label Graceful labelng of 3 - he banana tree correspondng to the famly of stars (3K1, r,3k1, K1,,) s denoted by 3 - SB". he banana tree 3 - SB" dan be thought of as the one obtaned from SB ~ and 2- SB ~ by dentfyng ther apex vertces. Here 2- SB ~ denotes the banana tree correspondng to the famly of stars (2K1, 1,2K~, 2...,2K1.,). Chen, L and Yeh [1] have gven a graceful (n fact nterlaced) labelng of 2 - SB ". nterlaced labelng s a specalzed graceful labelng. However, ther graceful labelng of 2 - SB" and ther technque of combnng nterlaced banana trees to get a larger nterlaced, and hence graceful, banana tree does not gve a graceful labelng of 3 - SB ". he reason s, n ther nterlaced labelng of 2 - SB ~, the apex receves the label n (and not 0) /..6 &O g 5/, /-,8 47 t, 5 4,:, 1,3,'.~ /,1 35 3/, '5 2/, lg , 6"~ /* B g Fgure 3. Graceful labelng of 2 - SB7(5, 3). he apex gets label 7.

6 ,~06 Vasant N Bhat-Nayak and Ujwala N Deshmukh o E 2~2g E o j ~ 4-! -~ ~..~. ] ~! ~' 1 ol?.l ol 1% f f '2. E o e-, e~ ~ ~Y ~E ~R ~ r {D,4??-~7? e~ ~2.E Q Z Z

7 New famles of graceful banana trees E ~! ~ ~ l ~'o ~".2 ~'o ~" t- t'q f ~ ~ o ~ M m o Z

8 208 Vasant N Bhat-Nayak and Ujwala N Deshmukh? 1 eb!! ~ 8, 1 ~ ~ o 9. -t- o k "2. r- {,? : {} Z

9 New famles of graceful banana trees 209 ~'~ ~ ~- x. ~,,.~o~,,.~ 1 o t -- :! -- "~ -- -t- -- ='- / -t- ~,o = ~ ~ _~ -t- ~ ~.m r~ Z._~

10 210 Vasant N Bhat-Nayak and Ujwala N Deshmukh 7~ 7 ~ 7!!? L ~ r ~o~ ~ Q!! 7 tr ~ ~ 7 7 r,~,~ '~ Lu ~ ~o ~ ~ 7~ ~7 r.) o z

11 New famles of graceful banana trees 211 Here we gve a dfferent graceful (but not nterlaced) labelng of 2 - SB n n whch the apex gets the label 0. hs new labelng depends on the party of n. We consder 2 - SB" as two copes of SB" wth the same apex. able 4.1 gves a labelng of one copy of SB", table 4.2 gves the other copy of SB * when n s even and table 4.3 the other copy of SB ~ when n s odd. able 4.2 has, n fact, two parts. We have called them table 4.2 (even) and table 4.2 (odd). able 4.2 (even) ndcates the labelng for even szed stars nvolved n SB n, that s, for K 1,2, K 1, 4... able 4.2 (odd) ndcates the labelng for odd szed stars nvolved n SB ", that s, for K,,KLa... Smlarly we have table 4.3 (even) and table 4.3 (odd). Fgure 4.1 shows a graceful labelng of 2 - SB s whle fgure 4.2 shows a gracefullabelng of 2 - SB 7. We have ncluded a graceful labelng of SB s to be used for that of 2 - SB s. Now we gve an algorthm to gracefully label 3 - SB" where 3 - SB ~ s obtaned from SB" and 2 - SB ~ by dentfyng ther apex vertces. Algorthm Step 1. Do the graceful labelng of SB" part of 3 - SB" as per table 2. Step 2. Do the graceful labelng of 2 - SB" part of 3 - SB" as per tables 4.1, 4.2 and 4.3. Step 3. dentfy the apex of SB n wth that of 2 - SB" and gve label n to t. Step 4. Add n to each label of 2 - SB n (except to the apex whch s covered by step 3). 4/-, Fgure 4.1. Graceful labelng of SB s " BO / ~9 18 1~" ~2 11 ~ /.3 Fgure 4.1. (contnued). Graceful labelng of 2 - SB s.

12 212 Vasant N Bhat-Nayak and Ujwala N Deshmukh t 222L , L9 48 /-,7 1, l* ~ /, Fgure 4.2. Graceful labelng of 2 - SB'. Step 5. Change label x of SB" to n - x for all the central vertces of SB". Step 6. For all other vertces of SB" change label x to 3 ((n 2 3n)/2) n 1 - x. Remarks 1. Note that 3((n 2 3n)/2) = q(sb") q(2 - SB"). Also note that x >/n Steps 3, 4, 5 and 6 of Algorthm are same as steps 1, 2, 3 and 4 of Algorthm wth q(sb"(t, ~)) replaced by q(2- SB"). n other words, technques of the algorthms are same. able 5 gves the edge weghts of 3 - SB" when ths algorthm s executed. hs table does not nclude the edge weghts of 2 - SB" part of 3 - SB ~ snce they are exactly the same as those of 2 - SB" and are already lsted n tables 4.1 and 4.2. Fgures 5(even) and 5(odd) gve graceful labelngs of 3 - SB 8 and 3 - SB 7 respectvely. hese fgures are to be read along wth fgures 4.1, 2 and 4.2 respectvely. As before, for convenence, the apex and the lnk edges are not drawn and the top-most vertex of each star s ts lnk vertex. 5. Graceful labelng of SW(t, ~) wth arbtrary t and ~e n w 2 we gave a graceful labelng of SB"(t, c 0 when c~ < t. Here we gve a graceful labelng of SB"(t, ~) wthout any restrcton on c~ and t. Let B(eK1, t) denote the banana tree whose famly of stars conssts of~ copes of K1. r One of the results ofchen, L and Yeh [1] gves a graceful labelng of B(~, K L t) when e ~< t. We gve here a graceful labelng of B(~K1.,) wth no restrcton on c~ and t. Our graceful labelng gves label 0 to the apex and hence t s possble to combne B(~K1, t) wth SB" to get a graceful labelng of SB"(t, ~) wthout any restrctons on t and ~. Our graceful labelng of B(eK L,) wth no restrcton on ~ and t s gven n table 6. Apex s labeled 0. n fact, after gvng the table 6 we have also ndcated the labelng functon q~ n a compact form.

13 New famles of graceful banana trees 213 l ~ ~o~ -- ~ ~ t f r o 7 o.j.j l ~ ~ o~ ~ o ' ~ txl,, ~9 e~ o = " g~,j ~ o,~ ~'~ ~o~, e-. U~ u~ ~ t o l 0 Z 0 Z

14 214 Vasant N Bhat-Nayak and Ujwala N Deshmukh 96 9Z, " 't /, 63 S & 4.Z /' L & Z, 105 "f ~3 11Z, ~26 ~ Fgure 5 (even). Graceful labelng of 3 - SB 8. he apex gets label L e, Z-, L /, lo& Fgure 5 (odd). Graceful labelng of 3 - SB 7. he apex gets label 7. Refer to table 2 for the graceful labelng of SB" as gven by Chen, L/ and Yeh [1]. We have recast ths graceful labelng n the form of a labelng functon qj after the descrpton of the functon ~b. We now gve an algorthm to get a graceful labelng of SB"(t, 7) where there are no restrctons on t and ~.

15 New.famles of grace[ul banana trees )t21 ~ , / ~ Graceful [abeltlng ot B (5K1,3) Gracefu( [abelt[ng of $ /.t & ' /./. 45 /.6 Fgure 6. Graceful labelng of SB6(3, 5). Algorthm Step 1. dentfy the apex vertces of SB" and B(c~K1. t) to get SB"(t, :0. Gve label n to the apex of SB"(t, :0 thus obtaned. Step 2. Add n to each label of B(~(K1, t) part of SB"(t, :0 except to the apex whch s covered by step 1. Step 3. For all the central vertces of SB" change label x to n - x. Step 4. For all other vertces of SB" change label x to ((n 2 3n)/2) ~(t 1) (n 1) - x. Remark. We do not nclude a table for ths case. he reason s, the edge weghts of the edges of the B(~K1. t) part of SB"(t, :0 reman the same and they are already ndcated n table 6. hough the edge weghts of the SB" part of SB"(t, ~) change, one can refer to table 3 wth f12 = c((t 1) nstead of((n 2 3n)/2) c((t 1). Fgure 6 gves a graceful labelng of SB6(3, 5) obtaned as per Algorthm. he functons c~ and ~O Let v and uj be the lnk vertex and central vertex respectvely of the star K*,, of the banana tree B(~K 1,,), 1 ~<j <~ ~. Let w~ be the end vertex of the star K*'., of ths banana tree for 1 ~<j~< t- 1,1 ~< r ~<cx. he compact form of the labelng functon 4~ s as follows. r forj= 2-1 =t forj = 2 ~b(uj) = ( ~ ) t (~----~) 1 forj=2-1 =q-(t(-1)) forj = 2

16 216 Vasant N Bhat-Nayak and Ujwala N Deshmukh ~p(w~):q--(~)t--(~) to for 1 ~j<<.t- 1 andr=2- l =(-- 1)t ( 1) = t ( - 1). to forl~<j~<t-1 and r=2 Let vj and uj be the lnk vertex and central vertex of the star K1, j nvolved n SB n for 1 ~<j ~< n. Let w~ be the end vertex of the star K1. r of the banana tree SB n, 1 ~<j ~< r - 1, l <~ r <~ n. References (- 1) t~(vj) = (n 1) n ~%)=j (- 1) ~b(w~.) = (n 1) n for j= n -- to fort=n--, l<.j<.n--, l~<.n--. (- l) =(n l)n---- n--( 1) 2 [1] Chen W C, L H and Yeh Y N, Opemfom of nterlaced trees and graceful trees (1990) (R.O.C: ape. awan) preprnt [2] Kotzg A, Recent results and open problems n graceful graphs, Proc. 15th Southeast. Co~.. on Combnatorcs, Graph heory and Computncj (1984) (Baton Rouge, La}: Concjr. Numer [3] Rngel G, Problem 25. heory of graphs and ts applcatons. Proc. Syrup. Smolence (Prague Publ. House of Czechoslovak Academy of Scence) (1964) 162

PAijpam.eu SOME NEW SUM PERFECT SQUARE GRAPHS S.G. Sonchhatra 1, G.V. Ghodasara 2

PAijpam.eu SOME NEW SUM PERFECT SQUARE GRAPHS S.G. Sonchhatra 1, G.V. Ghodasara 2 Internatonal Journal of Pure and Appled Mathematcs Volume 113 No. 3 2017, 489-499 ISSN: 1311-8080 (prnted verson); ISSN: 1314-3395 (on-lne verson) url: http://www.jpam.eu do: 10.12732/jpam.v1133.11 PAjpam.eu

More information

Modulo Magic Labeling in Digraphs

Modulo Magic Labeling in Digraphs Gen. Math. Notes, Vol. 7, No., August, 03, pp. 5- ISSN 9-784; Copyrght ICSRS Publcaton, 03 www.-csrs.org Avalable free onlne at http://www.geman.n Modulo Magc Labelng n Dgraphs L. Shobana and J. Baskar

More information

Z 4p - Magic labeling for some special graphs

Z 4p - Magic labeling for some special graphs Internatonal Journal of Mathematcs and Soft Computng Vol., No. (0, 6-70. ISSN Prnt : 49-8 Z 4p - Magc labelng for some specal graphs ISSN Onlne: 9-55 V.L. Stella Arputha Mary Department of Mathematcs,

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

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

The L(2, 1)-Labeling on -Product of Graphs

The L(2, 1)-Labeling on -Product of Graphs Annals of Pure and Appled Mathematcs Vol 0, No, 05, 9-39 ISSN: 79-087X (P, 79-0888(onlne Publshed on 7 Aprl 05 wwwresearchmathscorg Annals of The L(, -Labelng on -Product of Graphs P Pradhan and Kamesh

More information

Calculation of time complexity (3%)

Calculation of time complexity (3%) Problem 1. (30%) Calculaton of tme complexty (3%) Gven n ctes, usng exhaust search to see every result takes O(n!). Calculaton of tme needed to solve the problem (2%) 40 ctes:40! dfferent tours 40 add

More information

Every planar graph is 4-colourable a proof without computer

Every planar graph is 4-colourable a proof without computer Peter Dörre Department of Informatcs and Natural Scences Fachhochschule Südwestfalen (Unversty of Appled Scences) Frauenstuhlweg 31, D-58644 Iserlohn, Germany Emal: doerre(at)fh-swf.de Mathematcs Subject

More information

Vertex Graceful Labeling-Some Path Related Graphs

Vertex Graceful Labeling-Some Path Related Graphs Internatonal J.Math. Combn. Vol.3013), 44-49 Vertex Graceful Labelng-Some Path Related Graphs P.Selvaraju 1, P.Balaganesan and J.Renuka 3 1 Department of Mathematcs, Vel Tech Engneerng College, Avad, Chenna-

More information

CCO Commun. Comb. Optim.

CCO Commun. Comb. Optim. Communcatons n Combnatorcs and Optmzaton Vol. 2 No. 2, 2017 pp.87-98 DOI: 10.22049/CCO.2017.13630 CCO Commun. Comb. Optm. Reformulated F-ndex of graph operatons Hamdeh Aram 1 and Nasrn Dehgard 2 1 Department

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

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

Spectral graph theory: Applications of Courant-Fischer

Spectral graph theory: Applications of Courant-Fischer Spectral graph theory: Applcatons of Courant-Fscher Steve Butler September 2006 Abstract In ths second talk we wll ntroduce the Raylegh quotent and the Courant- Fscher Theorem and gve some applcatons for

More information

K-Total Product Cordial Labelling of Graphs

K-Total Product Cordial Labelling of Graphs Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 93-9466 Vol. 7, Issue (December ), pp. 78-76 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) K-Total Product Cordal Labellng o Graphs

More information

Volume 18 Figure 1. Notation 1. Notation 2. Observation 1. Remark 1. Remark 2. Remark 3. Remark 4. Remark 5. Remark 6. Theorem A [2]. Theorem B [2].

Volume 18 Figure 1. Notation 1. Notation 2. Observation 1. Remark 1. Remark 2. Remark 3. Remark 4. Remark 5. Remark 6. Theorem A [2]. Theorem B [2]. Bulletn of Mathematcal Scences and Applcatons Submtted: 016-04-07 ISSN: 78-9634, Vol. 18, pp 1-10 Revsed: 016-09-08 do:10.1805/www.scpress.com/bmsa.18.1 Accepted: 016-10-13 017 ScPress Ltd., Swtzerland

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

Statistical Mechanics and Combinatorics : Lecture III

Statistical Mechanics and Combinatorics : Lecture III Statstcal Mechancs and Combnatorcs : Lecture III Dmer Model Dmer defntons Defnton A dmer coverng (perfect matchng) of a fnte graph s a set of edges whch covers every vertex exactly once, e every vertex

More information

find (x): given element x, return the canonical element of the set containing x;

find (x): given element x, return the canonical element of the set containing x; COS 43 Sprng, 009 Dsjont Set Unon Problem: Mantan a collecton of dsjont sets. Two operatons: fnd the set contanng a gven element; unte two sets nto one (destructvely). Approach: Canoncal element method:

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

Double Layered Fuzzy Planar Graph

Double Layered Fuzzy Planar Graph Global Journal of Pure and Appled Mathematcs. ISSN 0973-768 Volume 3, Number 0 07), pp. 7365-7376 Research Inda Publcatons http://www.rpublcaton.com Double Layered Fuzzy Planar Graph J. Jon Arockaraj Assstant

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

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

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

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

Sampling Theory MODULE VII LECTURE - 23 VARYING PROBABILITY SAMPLING

Sampling Theory MODULE VII LECTURE - 23 VARYING PROBABILITY SAMPLING Samplng heory MODULE VII LECURE - 3 VARYIG PROBABILIY SAMPLIG DR. SHALABH DEPARME OF MAHEMAICS AD SAISICS IDIA ISIUE OF ECHOLOGY KAPUR he smple random samplng scheme provdes a random sample where every

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

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

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

THE CHVÁTAL-ERDŐS CONDITION AND 2-FACTORS WITH A SPECIFIED NUMBER OF COMPONENTS

THE CHVÁTAL-ERDŐS CONDITION AND 2-FACTORS WITH A SPECIFIED NUMBER OF COMPONENTS Dscussones Mathematcae Graph Theory 27 (2007) 401 407 THE CHVÁTAL-ERDŐS CONDITION AND 2-FACTORS WITH A SPECIFIED NUMBER OF COMPONENTS Guantao Chen Department of Mathematcs and Statstcs Georga State Unversty,

More information

A Robust Method for Calculating the Correlation Coefficient

A Robust Method for Calculating the Correlation Coefficient A Robust Method for Calculatng the Correlaton Coeffcent E.B. Nven and C. V. Deutsch Relatonshps between prmary and secondary data are frequently quantfed usng the correlaton coeffcent; however, the tradtonal

More information

Comparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method

Comparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method Appled Mathematcal Scences, Vol. 7, 0, no. 47, 07-0 HIARI Ltd, www.m-hkar.com Comparson of the Populaton Varance Estmators of -Parameter Exponental Dstrbuton Based on Multple Crtera Decson Makng Method

More information

Discrete Mathematics

Discrete Mathematics Dscrete Mathematcs 30 (00) 48 488 Contents lsts avalable at ScenceDrect Dscrete Mathematcs journal homepage: www.elsever.com/locate/dsc The number of C 3 -free vertces on 3-partte tournaments Ana Paulna

More information

Perron Vectors of an Irreducible Nonnegative Interval Matrix

Perron Vectors of an Irreducible Nonnegative Interval Matrix Perron Vectors of an Irreducble Nonnegatve Interval Matrx Jr Rohn August 4 2005 Abstract As s well known an rreducble nonnegatve matrx possesses a unquely determned Perron vector. As the man result of

More information

One-sided finite-difference approximations suitable for use with Richardson extrapolation

One-sided finite-difference approximations suitable for use with Richardson extrapolation Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,

More information

The Minimum Universal Cost Flow in an Infeasible Flow Network

The Minimum Universal Cost Flow in an Infeasible Flow Network Journal of Scences, Islamc Republc of Iran 17(2): 175-180 (2006) Unversty of Tehran, ISSN 1016-1104 http://jscencesutacr The Mnmum Unversal Cost Flow n an Infeasble Flow Network H Saleh Fathabad * M Bagheran

More information

Discrete Mathematics. Laplacian spectral characterization of some graphs obtained by product operation

Discrete Mathematics. Laplacian spectral characterization of some graphs obtained by product operation Dscrete Mathematcs 31 (01) 1591 1595 Contents lsts avalable at ScVerse ScenceDrect Dscrete Mathematcs journal homepage: www.elsever.com/locate/dsc Laplacan spectral characterzaton of some graphs obtaned

More information

Prof. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model

Prof. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model EXACT OE-DIMESIOAL ISIG MODEL The one-dmensonal Isng model conssts of a chan of spns, each spn nteractng only wth ts two nearest neghbors. The smple Isng problem n one dmenson can be solved drectly n several

More information

A MODIFIED METHOD FOR SOLVING SYSTEM OF NONLINEAR EQUATIONS

A MODIFIED METHOD FOR SOLVING SYSTEM OF NONLINEAR EQUATIONS Journal of Mathematcs and Statstcs 9 (1): 4-8, 1 ISSN 1549-644 1 Scence Publcatons do:1.844/jmssp.1.4.8 Publshed Onlne 9 (1) 1 (http://www.thescpub.com/jmss.toc) A MODIFIED METHOD FOR SOLVING SYSTEM OF

More information

On the Interval Zoro Symmetric Single-step Procedure for Simultaneous Finding of Polynomial Zeros

On the Interval Zoro Symmetric Single-step Procedure for Simultaneous Finding of Polynomial Zeros Appled Mathematcal Scences, Vol. 5, 2011, no. 75, 3693-3706 On the Interval Zoro Symmetrc Sngle-step Procedure for Smultaneous Fndng of Polynomal Zeros S. F. M. Rusl, M. Mons, M. A. Hassan and W. J. Leong

More information

On the correction of the h-index for career length

On the correction of the h-index for career length 1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat

More information

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION THE WEIGHTED WEAK TYPE INEQUALITY FO THE STONG MAXIMAL FUNCTION THEMIS MITSIS Abstract. We prove the natural Fefferman-Sten weak type nequalty for the strong maxmal functon n the plane, under the assumpton

More information

The lower and upper bounds on Perron root of nonnegative irreducible matrices

The lower and upper bounds on Perron root of nonnegative irreducible matrices Journal of Computatonal Appled Mathematcs 217 (2008) 259 267 wwwelsevercom/locate/cam The lower upper bounds on Perron root of nonnegatve rreducble matrces Guang-Xn Huang a,, Feng Yn b,keguo a a College

More information

), it produces a response (output function g (x)

), it produces a response (output function g (x) Lnear Systems Revew Notes adapted from notes by Mchael Braun Typcally n electrcal engneerng, one s concerned wth functons of tme, such as a voltage waveform System descrpton s therefore defned n the domans

More information

HnUf> xk) = S0Jf(xk) (k = 1,..., «; j = 0,..., m - 1).

HnUf> xk) = S0Jf(xk) (k = 1,..., «; j = 0,..., m - 1). PROCEEDINGS of the AMERICAN MATHEMATICAL SOCIETY Volume 09, Number 4, August 990 ON (0,,2) INTERPOLATION IN UNIFORM METRIC J. SZABADOS AND A. K. VARMA (Communcated by R. Danel Mauldn) Abstract. From the

More information

arxiv: v3 [cs.dm] 7 Jul 2012

arxiv: v3 [cs.dm] 7 Jul 2012 Perfect matchng n -unform hypergraphs wth large vertex degree arxv:1101.580v [cs.dm] 7 Jul 01 Imdadullah Khan Department of Computer Scence College of Computng and Informaton Systems Umm Al-Qura Unversty

More information

The internal structure of natural numbers and one method for the definition of large prime numbers

The internal structure of natural numbers and one method for the definition of large prime numbers The nternal structure of natural numbers and one method for the defnton of large prme numbers Emmanul Manousos APM Insttute for the Advancement of Physcs and Mathematcs 3 Poulou str. 53 Athens Greece Abstract

More information

A Hybrid Variational Iteration Method for Blasius Equation

A Hybrid Variational Iteration Method for Blasius Equation Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method

More information

Neryškioji dichotominių testo klausimų ir socialinių rodiklių diferencijavimo savybių klasifikacija

Neryškioji dichotominių testo klausimų ir socialinių rodiklių diferencijavimo savybių klasifikacija Neryškoj dchotomnų testo klausmų r socalnų rodklų dferencjavmo savybų klasfkacja Aleksandras KRYLOVAS, Natalja KOSAREVA, Julja KARALIŪNAITĖ Technologcal and Economc Development of Economy Receved 9 May

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

Statistical analysis using matlab. HY 439 Presented by: George Fortetsanakis

Statistical analysis using matlab. HY 439 Presented by: George Fortetsanakis Statstcal analyss usng matlab HY 439 Presented by: George Fortetsanaks Roadmap Probablty dstrbutons Statstcal estmaton Fttng data to probablty dstrbutons Contnuous dstrbutons Contnuous random varable X

More information

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown

More information

Resource Allocation with a Budget Constraint for Computing Independent Tasks in the Cloud

Resource Allocation with a Budget Constraint for Computing Independent Tasks in the Cloud Resource Allocaton wth a Budget Constrant for Computng Independent Tasks n the Cloud Wemng Sh and Bo Hong School of Electrcal and Computer Engneerng Georga Insttute of Technology, USA 2nd IEEE Internatonal

More information

Complement of Type-2 Fuzzy Shortest Path Using Possibility Measure

Complement of Type-2 Fuzzy Shortest Path Using Possibility Measure Intern. J. Fuzzy Mathematcal rchve Vol. 5, No., 04, 9-7 ISSN: 30 34 (P, 30 350 (onlne Publshed on 5 November 04 www.researchmathsc.org Internatonal Journal of Complement of Type- Fuzzy Shortest Path Usng

More information

EXPANSIVE MAPPINGS. by W. R. Utz

EXPANSIVE MAPPINGS. by W. R. Utz Volume 3, 978 Pages 6 http://topology.auburn.edu/tp/ EXPANSIVE MAPPINGS by W. R. Utz Topology Proceedngs Web: http://topology.auburn.edu/tp/ Mal: Topology Proceedngs Department of Mathematcs & Statstcs

More information

Differential Polynomials

Differential Polynomials JASS 07 - Polynomals: Ther Power and How to Use Them Dfferental Polynomals Stephan Rtscher March 18, 2007 Abstract Ths artcle gves an bref ntroducton nto dfferental polynomals, deals and manfolds and ther

More information

MODELING TRAFFIC LIGHTS IN INTERSECTION USING PETRI NETS

MODELING TRAFFIC LIGHTS IN INTERSECTION USING PETRI NETS The 3 rd Internatonal Conference on Mathematcs and Statstcs (ICoMS-3) Insttut Pertanan Bogor, Indonesa, 5-6 August 28 MODELING TRAFFIC LIGHTS IN INTERSECTION USING PETRI NETS 1 Deky Adzkya and 2 Subono

More information

Lecture 10: May 6, 2013

Lecture 10: May 6, 2013 TTIC/CMSC 31150 Mathematcal Toolkt Sprng 013 Madhur Tulsan Lecture 10: May 6, 013 Scrbe: Wenje Luo In today s lecture, we manly talked about random walk on graphs and ntroduce the concept of graph expander,

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

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family IOSR Journal of Mathematcs IOSR-JM) ISSN: 2278-5728. Volume 3, Issue 3 Sep-Oct. 202), PP 44-48 www.osrjournals.org Usng T.O.M to Estmate Parameter of dstrbutons that have not Sngle Exponental Famly Jubran

More information

Yong Joon Ryang. 1. Introduction Consider the multicommodity transportation problem with convex quadratic cost function. 1 2 (x x0 ) T Q(x x 0 )

Yong Joon Ryang. 1. Introduction Consider the multicommodity transportation problem with convex quadratic cost function. 1 2 (x x0 ) T Q(x x 0 ) Kangweon-Kyungk Math. Jour. 4 1996), No. 1, pp. 7 16 AN ITERATIVE ROW-ACTION METHOD FOR MULTICOMMODITY TRANSPORTATION PROBLEMS Yong Joon Ryang Abstract. The optmzaton problems wth quadratc constrants often

More information

Radio Geometric Mean Number of Splitting Of Star and Bistar

Radio Geometric Mean Number of Splitting Of Star and Bistar Rado Geometrc Mean Number of Splttng Of Star and Bstar V. Hemalatha 1 Dr. V. Mohanasel 2 and Dr. K. Amuthaall 3 1 Department of Mathematcs Vekanandha College of Technology for Women Truchengode Namakkal.

More information

Chapter 8 Indicator Variables

Chapter 8 Indicator Variables Chapter 8 Indcator Varables In general, e explanatory varables n any regresson analyss are assumed to be quanttatve n nature. For example, e varables lke temperature, dstance, age etc. are quanttatve n

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

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

The Synchronous 8th-Order Differential Attack on 12 Rounds of the Block Cipher HyRAL

The Synchronous 8th-Order Differential Attack on 12 Rounds of the Block Cipher HyRAL The Synchronous 8th-Order Dfferental Attack on 12 Rounds of the Block Cpher HyRAL Yasutaka Igarash, Sej Fukushma, and Tomohro Hachno Kagoshma Unversty, Kagoshma, Japan Emal: {garash, fukushma, hachno}@eee.kagoshma-u.ac.jp

More information

CHALMERS, GÖTEBORGS UNIVERSITET. SOLUTIONS to RE-EXAM for ARTIFICIAL NEURAL NETWORKS. COURSE CODES: FFR 135, FIM 720 GU, PhD

CHALMERS, GÖTEBORGS UNIVERSITET. SOLUTIONS to RE-EXAM for ARTIFICIAL NEURAL NETWORKS. COURSE CODES: FFR 135, FIM 720 GU, PhD CHALMERS, GÖTEBORGS UNIVERSITET SOLUTIONS to RE-EXAM for ARTIFICIAL NEURAL NETWORKS COURSE CODES: FFR 35, FIM 72 GU, PhD Tme: Place: Teachers: Allowed materal: Not allowed: January 2, 28, at 8 3 2 3 SB

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

Singular Value Decomposition: Theory and Applications

Singular Value Decomposition: Theory and Applications Sngular Value Decomposton: Theory and Applcatons Danel Khashab Sprng 2015 Last Update: March 2, 2015 1 Introducton A = UDV where columns of U and V are orthonormal and matrx D s dagonal wth postve real

More information

On Tiling for Some Types of Manifolds. and their Folding

On Tiling for Some Types of Manifolds. and their Folding Appled Mathematcal Scences, Vol. 3, 009, no. 6, 75-84 On Tlng for Some Types of Manfolds and ther Foldng H. Rafat Mathematcs Department, Faculty of Scence Tanta Unversty, Tanta Egypt hshamrafat005@yahoo.com

More information

MATH 5707 HOMEWORK 4 SOLUTIONS 2. 2 i 2p i E(X i ) + E(Xi 2 ) ä i=1. i=1

MATH 5707 HOMEWORK 4 SOLUTIONS 2. 2 i 2p i E(X i ) + E(Xi 2 ) ä i=1. i=1 MATH 5707 HOMEWORK 4 SOLUTIONS CİHAN BAHRAN 1. Let v 1,..., v n R m, all lengths v are not larger than 1. Let p 1,..., p n [0, 1] be arbtrary and set w = p 1 v 1 + + p n v n. Then there exst ε 1,..., ε

More information

arxiv:quant-ph/ Jul 2002

arxiv:quant-ph/ Jul 2002 Lnear optcs mplementaton of general two-photon proectve measurement Andrze Grudka* and Anton Wóck** Faculty of Physcs, Adam Mckewcz Unversty, arxv:quant-ph/ 9 Jul PXOWRZVNDR]QDRODQG Abstract We wll present

More information

A Simple Research of Divisor Graphs

A Simple Research of Divisor Graphs The 29th Workshop on Combnatoral Mathematcs and Computaton Theory A Smple Research o Dvsor Graphs Yu-png Tsao General Educaton Center Chna Unversty o Technology Tape Tawan yp-tsao@cuteedutw Tape Tawan

More information

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 30 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 2 Remedes for multcollnearty Varous technques have

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

CALCULUS CLASSROOM CAPSULES

CALCULUS CLASSROOM CAPSULES CALCULUS CLASSROOM CAPSULES SESSION S86 Dr. Sham Alfred Rartan Valley Communty College salfred@rartanval.edu 38th AMATYC Annual Conference Jacksonvlle, Florda November 8-, 202 2 Calculus Classroom Capsules

More information

System in Weibull Distribution

System in Weibull Distribution Internatonal Matheatcal Foru 4 9 no. 9 94-95 Relablty Equvalence Factors of a Seres-Parallel Syste n Webull Dstrbuton M. A. El-Dacese Matheatcs Departent Faculty of Scence Tanta Unversty Tanta Egypt eldacese@yahoo.co

More information

Learning Theory: Lecture Notes

Learning Theory: Lecture Notes Learnng Theory: Lecture Notes Lecturer: Kamalka Chaudhur Scrbe: Qush Wang October 27, 2012 1 The Agnostc PAC Model Recall that one of the constrants of the PAC model s that the data dstrbuton has to be

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

Appendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis

Appendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis A Appendx for Causal Interacton n Factoral Experments: Applcaton to Conjont Analyss Mathematcal Appendx: Proofs of Theorems A. Lemmas Below, we descrbe all the lemmas, whch are used to prove the man theorems

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

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur Analyss of Varance and Desgn of Exerments-I MODULE III LECTURE - 2 EXPERIMENTAL DESIGN MODELS Dr. Shalabh Deartment of Mathematcs and Statstcs Indan Insttute of Technology Kanur 2 We consder the models

More information

Online Classification: Perceptron and Winnow

Online Classification: Perceptron and Winnow E0 370 Statstcal Learnng Theory Lecture 18 Nov 8, 011 Onlne Classfcaton: Perceptron and Wnnow Lecturer: Shvan Agarwal Scrbe: Shvan Agarwal 1 Introducton In ths lecture we wll start to study the onlne learnng

More information

DONALD M. DAVIS. 1. Main result

DONALD M. DAVIS. 1. Main result v 1 -PERIODIC 2-EXPONENTS OF SU(2 e ) AND SU(2 e + 1) DONALD M. DAVIS Abstract. We determne precsely the largest v 1 -perodc homotopy groups of SU(2 e ) and SU(2 e +1). Ths gves new results about the largest

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

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

Min Cut, Fast Cut, Polynomial Identities

Min Cut, Fast Cut, Polynomial Identities Randomzed Algorthms, Summer 016 Mn Cut, Fast Cut, Polynomal Identtes Instructor: Thomas Kesselhem and Kurt Mehlhorn 1 Mn Cuts n Graphs Lecture (5 pages) Throughout ths secton, G = (V, E) s a mult-graph.

More information

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U) Econ 413 Exam 13 H ANSWERS Settet er nndelt 9 deloppgaver, A,B,C, som alle anbefales å telle lkt for å gøre det ltt lettere å stå. Svar er gtt . Unfortunately, there s a prntng error n the hnt of

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

AS-Level Maths: Statistics 1 for Edexcel

AS-Level Maths: Statistics 1 for Edexcel 1 of 6 AS-Level Maths: Statstcs 1 for Edecel S1. Calculatng means and standard devatons Ths con ndcates the slde contans actvtes created n Flash. These actvtes are not edtable. For more detaled nstructons,

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

A Note on Bound for Jensen-Shannon Divergence by Jeffreys

A Note on Bound for Jensen-Shannon Divergence by Jeffreys OPEN ACCESS Conference Proceedngs Paper Entropy www.scforum.net/conference/ecea- A Note on Bound for Jensen-Shannon Dvergence by Jeffreys Takuya Yamano, * Department of Mathematcs and Physcs, Faculty of

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

Chapter Newton s Method

Chapter Newton s Method Chapter 9. Newton s Method After readng ths chapter, you should be able to:. Understand how Newton s method s dfferent from the Golden Secton Search method. Understand how Newton s method works 3. Solve

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

4 Analysis of Variance (ANOVA) 5 ANOVA. 5.1 Introduction. 5.2 Fixed Effects ANOVA

4 Analysis of Variance (ANOVA) 5 ANOVA. 5.1 Introduction. 5.2 Fixed Effects ANOVA 4 Analyss of Varance (ANOVA) 5 ANOVA 51 Introducton ANOVA ANOVA s a way to estmate and test the means of multple populatons We wll start wth one-way ANOVA If the populatons ncluded n the study are selected

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

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

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

Modelli Clamfim Equazione del Calore Lezione ottobre 2014

Modelli Clamfim Equazione del Calore Lezione ottobre 2014 CLAMFIM Bologna Modell 1 @ Clamfm Equazone del Calore Lezone 17 15 ottobre 2014 professor Danele Rtell danele.rtell@unbo.t 1/24? Convoluton The convoluton of two functons g(t) and f(t) s the functon (g

More information