Folding of Trefoil Knot and its Graph
|
|
- Anis Horn
- 5 years ago
- Views:
Transcription
1 Joural of Mathematcs ad Statstcs 2 (2): , 2006 ISSN Scece Publcatos Foldg of Trefol Kot ad ts Graph 1 M.El-Ghoul, 2 A.I.Elrokh ad 3 M.M. Al-Shamr 1 Mathematcal Departmet, Faculty of Scece, Tata Uversty, Tata, Egypt 2,3 Mathematcal Departmet, Faculty of Scece, Meoufa Uversty, Meoufa, Egypt Abstract: I ths study, we troduce the effect of the foldg, codtoal foldg, retracto ad codtoal retracto o trefol kot ad ts graph. We troduce the sheeted trefol kot ad the foldg ad retracto of ths type ad preset the lmt of foldgs. We study how to obta the types of lk graph by adjacecy matrx for ay umber of vertces ad how to calculate Joes polyomal for ths by ts coecto wth Tutte polyomal. The lk graph whch represets a trefol kot appled as a example. Key words: Foldg, retracto, kot, lk graph, trefol kot Correspodg Author: INTRODUCTION It s dffcult to say who frst showed a mathematcal terest what we ow call kot theory ad whe. However, moder tmes t s kow that the famous C.F. Gauss ( ) had some terest ths feld, the Amerca mathematca J.W. Alexader ( ) was the frst to show that kot theory s extremely mportat the study of 3- dmesoal topology. the Germa mathematca H. Sefert from the late 1920s to the 1930s. I the 1970s kot theory was show, amog other thgs, to be coected to algebrac umber theory, by vrtue of the soluto of Smth's cojecture cocerg perodc mappgs. At the begg of the 1980s, due to the dscovery by V.F.R. Joes of hs epochal kot varat, kot theory moved from the realm of topology to mathematcal physcs. Ths was further uderled whe t was show that kot theory s closely related to the solvable models of statstcal mechacs. As kot theory grows ad develops, ts boudares cotue to shft [1]. A kot s a subset of 3 - space that s homeomrphc to the crcle, a lk s a set of ftely may dsjot kots that are called ts compoets, a sgular kot s a kot wth self-tersectos. If K s a kot (or lk), we shall say that ˆP ( K ) = ˆK s the projecto of K. ˆP The map that projects the pot P ˆ( x, y, z) E 3 oto the pot ˆP ( x. y,0) the xy - plae. However ˆK s ot a smple closed curve lyg o the plae, sce ˆK possesses several pots of tersecto. I fact ˆK s a graph represets K ad has some propertes:- 1. ˆK has at most a fte umber of pots of tersecto. 2. If Q s a pot of tersecto of ˆK the P 1 ( Q) K K has exactly two pots, whch make a cross K [1]. I geeral a graph ot ecessary represets a kot E 3 by embeddg. Now we ca mpose some codto o a graph to represet a kot (or a lk ) we call t a lk graph. G s a lk graph f 1. G s fte coected graph. 2. G s plaer. 3. G has the homogeeous vertex degree 4 [2]. For ths every lk graph G wth vertces has 2 edges ad + 2 coutres. et f be a polygoal embeddg of a lk graph G to E 3. We call the mage f(g) a represetato of G whch s a kot ( geeral a lk ). To obta the types of lk graphs we look for the adjacecy matrx. The adjacecy matrx of the lk graph s square matrx of sze x whch s symmetrc has teger values ad for every row ad every colum the sum s 4 ad the ma dagoal are zeros. For =2 we have oly oe adjacecy matrx also for =3we have oly oe adjacecy matrx. For ay we get all possble adjacecy matrces ad draw the lk graph for all of them ad calculate Joes polyomal Vl ( t ) to kow whch kot ( or lk ) the lk graph s represeted t [2]. Deftos ad backgroud: I ths secto we wll summarze some deftos ad theorems whch we wll be used the ma results. 1. A oreted kot s oe wth a chose drecto alog the strg [3,4]. 2. et K be a oreted kot (or lk) dagram defe the wrthe of K, (K), by the equato ω( K) = ε( P) where P rus over all crossgs M.El-Ghoul, Mathematcal Departmet, Faculty of Scece, Tata Uversty, Tata, Egypt 378 P K ad ε ( P) s the sg of the crossg [1,3,4]. Fg. 1
2 3. Kauffma's braket polyomal: et, ˆ ad ˆ 0 be the ske dagrams gve below Fg. 2 The the followg equalty holds: P 1 ( a) = ap ˆ ( a) + a Pˆ ( a). 0 f s a trval dagram O of a trval kot, tha P 0 ( a ) = 1 f P ( a) s the Kauffma bracket polyomal of the " uoreted " dagram ad ω ( ) s the wrthe of the defe 3 ω ( ) Pˆ ( a ) = ( a ) p ( a ). The Pˆ ( a ) s a varat of a oreted kot (or lk ) deoted by P ˆ K ( a ) [1,3,4]. 4. Joes polyomal: Suppose s a oreted lk, the the Joes polyomal V ( t ) ca be defed (uquely) from the followg two axoms. Axom (1): If s the trval kot,the V ( t) = 1. Axom (2): Suppose +,, 0 are ske dagram gve bellow: 5. f G has at least two edges ad e s a brdge (resp., loop) of G, T ( G; x, y ) = xt ( G / e; x, y ) (resp. T ( G; x, y ) = yt ( G \ e; x, y ). Not that propertes (1),,(5) allow the computato of T ( G; x, y ) for ay graph G [4,2,8]. 6. Kot graph: Every plaar graph gves a decomposto of the plae coected regos the so called coutres. By colorg these coutres chessboard lke maer wth the two colors black ad whte such that the ubouded coutry s whte. From the black coutres (resp. whte coutres ) oe gets the correspodg graph of these black coutres (resp. whte coutres),whch called kot graph [2,8]. Example: Fg. 4 k graph ad graph of black coutres (kot graph). 7. Foldg: et ( X, τ ) be a topologcal space.a map f : ( X, τ ) ( X, τ ) s sad to be foldg of a topologcal space to tself f f ( X ). G τ, F( G) = U G, U τ. X,ad ether or. G τ, f ( G) = U τ [9]. May types of foldgs are dscussed [10-13]. 8. Retracto: et A be a subset of a topologcal space X.A cotuous map r : X A s a retracto f r( a) = a for all a A [14]. Fg. 3 The the followg ske relato holds, 1 1 V ( t) tv ( t) = ( t ) V +. 0 t t The polyomal tself s a auret polyomal t may have terms whch expoet [1,5-7]. t.e t has a egatve 5. Tutte polyomal: let G = ( V, E) be a gve graph ad e ay arbtrary oe of ts edges. The Tutte polyomal of G s a polyomal two varables T ( G; x, y) whch satsfes the followg propertes: 1. T ( G; x, y) = 1 for G = ( V, E) wth E = φ. 2. T ( G; x, y) 3. T ( G; x, y) = x f e s a brdge. = y f e s a loop. 4. T ( G; x, y ) = T ( G \ e; x, y) + T ( G / e; x, y) where G \ e 3. Relato betwee polyomals Theorem (1-3): The Kuafma bracket polyomal ca be computed from Tutte polyomal by V C 4 4 P ( a) = a T ( a, a ), where V s the umber of vertces ad C s the umber of coutres of the kot graph [2,5,7]. Corollary(1-3): The Kaufma bracket polyomal of oreted lk dagram s computg by: ˆ ( ) ( 3 ) ω ( ) P a = a P ( a ) [2,3]. (respectvely G / e ) deotes the graph obtaed V ( t) = t from G by deletg (resp.,cotractg) e. 4 1 T ( t, t ). 379 Theorem (2-3): The Joes polyomal s computed from kaufma brackt polyomal by: 1 4 V ( t) = Pˆ ( t ) [5,7]. Theorem (3-3): The Joes polyomal s computed from Tutte polyomal of kot graph by: c v+ 3 ω ( )
3 Applg to =3, the oly oe adjacecy matrx s: The lk graph correspodg of ths adjacecy matrx s: Theorem (1-1-4): The foldg of a kot s ot ecessary a kot. 2. Crossg foldg: A foldg whch folds a pot of upper arc crossg o a pot of lower crossg s sad to be crossg foldg. I ths case we have: a) Fg. 5 The correspodg graph of black coutres (kot graph) s: Fg. 9 f ( c) = c. b) Fg. 6 Ad ts Tutte polyomal s T ( G; x, y ) = x 2 + x + y. By represet the lk graph G 3 E ad take oretato. Fg. 10 c) f ( b) = b, f ( c) = c Fg. 11 f ( a) = a, f ( b) = b, f ( c) = c. Fg. 7 Hece ω ( ) = 3. c v+ 3 ω ( ) 4 1 V ( t) = t T ( t, t ) = t 4 T ( t, t ) 3 4 V ( t ) = t + t t whch s the Joes polyomal of trefol kot. RESUTS Foldg of trefol kot ad ts graph 1-4. Foldg of trefol kot: et K be a trefol kot ad f be a foldg from K to tself. the we have some types of foldg : (1) f ( a) = f ( b) = c Theorem (2-1-4): Every crossg foldg of a kot to tself gves a sgular kot. Proof: et K be a kot ad f be a crossg foldg from K to tself, the f(k) s ot a smple closed curve 3 E (Fg. 9-11)),sce f(k) possesses at lest oe pot of tersecto..e. f(k) s a sgular kot Theorem (3-1-4): A foldg of a sgular kot ot ecessary a sgular kot. The followg examples show that: 1) Fg. 12 f (2) = f (3) = 1. 2) Fg. 8 Fg
4 f ( c ) = b. 3) Fg. 14 f (1) = 2. 4) Fg Topologcal foldg: Applg topologcal foldg a successve steps (Fg. 16) o a trefol kot gettg a equvalet kots utl reachg the ull kot whch dfferet of the successve kots,t represets a lmt foldg. Fg. 16 Theorem (4-1-4): The lmt of a topologcal foldgs of ay kot to tself s a pot. Proof f1 : K K, f2 : f1( K) f1( K),... f : et f ( f...( K)) f ( f...( K)) We see that lm f ( f 1( f 2 (...( K)...)) = p s a pot. 4. Specal cotracto foldg Defto: The foldg whch cotracts the dstace betwee the crossg s called cotractg foldg. I ths type we fx oe arc ad cotract the other arcs,by successve steps (Fg. 17) gettg a equvalet kots. The lmt of ths process the ull kot,whch s exactly the lmt of foldgs. Fg. 17 Theorem (5-1-4): A lmt of specal cotracto foldgs of ay kot s a loop. Proof: et K be a kot of m- crossgs, the K has m arcs a1, a2,..., a m,ad let be the dstace betwee crossgs,f we are fxed a arc a1 ad cotracted aother by sequece of foldgs f, = 1,2,..., wheever the zero.e. The arc a1 s a loop whch exactly a lmt of the specal cotracto foldgs. See Fg. 17 as specal case. Corollary (1-1-4): If we fx two arcs of a kot, the the lmt of specal cotracto foldg of a kot s two loops commo a vertex. Proof: The proof comes drectly from theorem (5-1-4). Theorem (6-1-4): The retracto of ay kot by removg a pot s a pot. Proof: et r : K p K p be a retracto, f dm r( k p ) = dm K, the t s ot the mmum retracto. ad r( K p ) some topologcal foldg f r, but f dm r( K p ) dm K f r.the mmum retracto Theorem (7-1- 4): The lmt of topologcal foldgs of a kot s equvalet to the retracto of a kot by removg a pot. Proof: et f : K K be a sequece of topologcal foldg of the kot to tself the lm f ( K) = p theorem (4-1-4). Assume r : K q K q a retracto by removg a pot, r( K q) = p theorem (6-1-7)..e. r( K q) = lm f ( K) Foldg of a lk graph: et be a lk graph whch represet a trefol kot (Fg. 5) ad let fa foldg from to tself,the we have some types of foldg: (1) Fg. 18 f ( d) = a, f ( e) = b, f ( g) = c. Ths foldg gves a complete graph K 3, whch s a kot graph of a trefol kot,but ot represet a kot. Theorem (1-2-4): A foldg of a lk graph s ot ecessary a lk graph. (2) (a) Fg
5 f ( g) = c, f (1) = 3 (b) Fg. 20 f (1) = Topologcal foldg: Applg topologcal foldg a successve steps (Fg. 21) of a lk graph, represet a trefol kot gettg a equvalet lk graph utl reachg the ull lk graph whch dfferet of the successve lk graph,t represets the lmt of foldgs. r : K {1} K. Corollary (1-2-4): Every retracto of a lk graph decreases the degree of y Tutte polyomals. Theorem (4-2-4): For ay foldgs of lk graph whch decrease the degree of y Tutte polyomals there exst a retracto s equvalet to t. Proof: et be a lk graph ad f be a foldg from to tself s.t. f decreases the degree of y Tutte polyomals, ths meas oe edge or more was folded to aother ths equvalet to remove ths edge hece there s a retracto r equvalet to f. Fg. 21 Theorem (2-2-4): The lmt of topologcal foldgs for ay lk graph of vertces s a graph wth oly oe vertex havg loops. Fg. 24 Now we see the foldgs ad retracto wth Tutte polyomals: Proof: The proof s clear from the above dscusso. Theorem (3-2-4): There are some types of foldgs of a lk graph decrease the degree of Y Tutte polyomals ad there s aother types crease the degree of Y Tutte polyomals. Proof: et be a lk graph Fg. 20 The Tutte polyomal of s T ( ; x, y) = y + 2y + 3 y + (1 + 3 x) y + x + x The degree of Y s 4 ad the Tutte polyomal of f ( ) s T ( f ( ); x, y) = y + y + y + xy The degree of Y s 5,.e. degree of y was creased. ook Fg. 18 The Tutte polyomal of f ( ) s 2 T ( f ( ); x, y) = y + x + x the degree of Y s 1,.e. degree of y was decreased. We have two types of retractos of a lk graph: The frst types: Fg. 25 From the ch of foldgs ad retractos we get r f = f r ad + 1 T ( K; x, y) = T ( K ; x, y) + T ( K ; x, y) 1 1 T ( K ; x, y) = T ( K ; x, y) + T ( K ; x, y) 1; 2 2 T ( K ; x, y) = T ( K ; x, y) + T ( K ; x, y) T ( K4; x, y) = T ( K4; x, y) + T ( K4; x, y) ths meas T ( K; x, y) = T ( K ; x, y) + T ( K ; x, y) T ( K ; x, y) + T ( K ; x, y) + T ( K ; x, y) Foldg of sheeted trefol kot: Suppose R be a sheeted E 3, Fg. 25, so that we form a trefol kot V ( R ) Fg. 22 r : K { v} K, v g, v 1, v 3 the secod types: Fg. 25 Fg. 26 Fg by t, Fg. 26, called the sheeted trefol kot,hece V ( R ) takes four cases:
6 Case 1: V ( R ) wth two boudares V ( R ) ={,M}, whch s exactly a sheeted boud kots ormal case f : K K, f : f ( K ) f ( K ), f : f ( f ( K )) f ( f ( K )),..., f ( f ( f (...( f ( K ))...) f ( f ( f (...( f ( K ))...) such that f ( ) = ad lm f kot of oe dmeso. = M whch s a trefol Fg. 27 Case 2: V ( R ) wth o boudares V ( R ) =0,we call a sheeted strpe trefol kot. Fg. 28 Case 3: V ( R) wth exteral boudary V ( R ) =.. Fg. 31 b. et K 2 be a sheeted trefol kot wth boudares K 2 ={,M} ad f be a foldg from K 2 to tself such that f twsts M o tself a successve steps utl reachg a boudary so that we gettg a trefol kot whch s the lmt of foldg. Fg. 32,.e. f : K K, f : f ( K ) f ( K ), f : f ( f ( K )) f ( f ( K )),..., f ( f ( f (...( f ( K ))...) f ( f ( f (...( f ( K ))...) such that f ( M ) trefol kot of oe dmeso. = M ad lm f = whch s a Fg. 29 Case 4: V ( R ) wth teral boudary V ( R ) =M. Fg. 30 Now we troduce some types of foldgs for all above cases: Fg. 32 c. et K 3 be a sheeted trefol kot wth boudares K 3 ={,M} ad f be a foldg from K 3 to tself such that f ()= M we gettg a tubular trefol kot, whch fact s a hollow torus. Fg. 33, f : K3 K3, s. t. f ( ) = M ad ay geerator, f ( ) = ad homeomorphc or dffeomorphc to. Ay sequece of foldgs f, f, f,..., f lm f = torus. Also the ufoldgs uf, uf, uf,... uf lm uf = torus For case 1 a. et K 1 be a sheeted trefol kot wth boudares K 1 ={,M} ad f be a foldg from K 1 to tself such that f twsts o tself a successve steps utl reachg a boudary M so that we get a trefol kot whch s the lmt of foldg. Fg. 31,.e. 383 Fg. 33
7 For case 2: et V be a sheeted trefol kot wth out boudares V =0 ad b s a rm le, Fg. 34 ad f be a foldg from V to tself such that f twsts a sheeted aroud the rm le, so we gettg a trefol kot whch exactly the lmt of foldgs (Fg. 35) f : V V, f : f ( V ) f ( V ), f : f ( f ( V )) f ( f ( V )),..., f ( f ( f (...( f ( V ))...) f ( f ( f (...( f ( V ))...) f (rm) = rm, lm f = rm whch s a trefol kot of oe dmeso, Theorem ( ): The lmt of foldgs of a sheeted trefol kot whch twst a boudary o tself s a trefol kot. Proof: The proof s clear. For all cases, f we apply the foldg f from V ( R) to tself such that f (1)= f (2)= 3 we gettg a sheeted ukot heredtary case of boudary, (Fg. 38) Fg. 38 Fg. 34 Fg. 35 For case 3: et V(R) be a sheeted trefol kot wth boudares V(R) = ad f be a foldg from V(R) to tself such that f twsts o tself a successve steps, so that we gettg a trefol kot whch s the lmt of foldgs (Fg. 35). I ths case the lmt of ths codtoal foldg equvalet to the retracto of V(R) to. Theorem (2-3-4): The lmt of foldgs of a sheeted kot V ( R) s equvalet to the retracto f V ( R) s ope. Proof: If f : V ( R) V ( R), f : f (( V ( R) ) f ( V ( R) ), f : f ( f ( V ( R) )) f ( f ( V ( R) )) ,..., f ( f ( f (...( f ( V ( R) ))...) f ( f ( f (...( f ( V ( R) ))...) lm f = rm le Fg. 34 ad by take a retracto r : V ( R) rm le s.t. r(v(r)) = rm le Fg. 36 For case 4: et V(R) be a sheeted trefol kot wth boudares V ( R ) = M ad f be a foldg from V(R) to tself such that f twsts M o tself a successve steps, so that we gettg a trefol kot whch s the lmt of foldgs. Fg. 36. I ths case the lmt of ths codtoal foldg equvalet to the retracto of V(R) to M. Fg Fg. 39 hece we get lm f = rm le = r( V ( R )) REFERENCES 1. Murasug, K., Kot Theory ad ts Applcatos. Brkhaser, Bosto, MA. 2. Elrokh, A.I., Graphs, Kots ad ks. Ph. D. Thess. Uv. Erst-Mortz-Ardt Grefswad. 3. Kauffma,.K., Kot ad Physcs. Sgapore [u.a]:world Scetfc. 4. Seke, K., Algorthm for computg the Tutte polyomal ad ts applcatos. Ph. D. Thess. Uversty of Toky. 5. Chag, S.-C. ad R. Shork, Zero of Joes polyomals for famles of Kots ad lks. Physca, A301:
8 6. Rya, A.., The Joes polyomal of Pretzel Kot ad lks. Topology ad ts Applcatos, 83: Xa ad F. Zhag, Zero of the Joes polyomals for famles of Pretzel lks. Physca A, 328: Chyzak, F., Tutte polyomals square grds. INRIA, pp: El-Ghoul, M. ad H.I. Attya, The dyamcal fuzzy topologcal space ad ts foldg. J. Fuzzy Math., 12: El-Ghoul, M., The deformato retracto ad topologcal foldg of mafold. Comm. Fac. Sc. Uv. Akara Seres Av.37: El-Ghoul, M., The deformato retracts of complex projectve space ad ts topologcal foldg. J. Materal Sc., 30: El-Ghoul, M., Foldg of mafolds. Ph. D. Thess. Uv., Tata, Egypt. 13. El-Goul, M., Fractol foldg of mafold. Chaos, Solto Fract., Eglad, 12: Massay, W.S., Algebrac Topology, A Itroducto. Harcout,Brace ad World, New York. 385
Lebesgue Measure of Generalized Cantor Set
Aals of Pure ad Appled Mathematcs Vol., No.,, -8 ISSN: -8X P), -888ole) Publshed o 8 May www.researchmathsc.org Aals of Lebesgue Measure of Geeralzed ator Set Md. Jahurul Islam ad Md. Shahdul Islam Departmet
More informationChapter 9 Jordan Block Matrices
Chapter 9 Jorda Block atrces I ths chapter we wll solve the followg problem. Gve a lear operator T fd a bass R of F such that the matrx R (T) s as smple as possble. f course smple s a matter of taste.
More informationPROJECTION PROBLEM FOR REGULAR POLYGONS
Joural of Mathematcal Sceces: Advaces ad Applcatos Volume, Number, 008, Pages 95-50 PROJECTION PROBLEM FOR REGULAR POLYGONS College of Scece Bejg Forestry Uversty Bejg 0008 P. R. Cha e-mal: sl@bjfu.edu.c
More informationCubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem
Joural of Amerca Scece ;6( Cubc Nopolyomal Sple Approach to the Soluto of a Secod Order Two-Pot Boudary Value Problem W.K. Zahra, F.A. Abd El-Salam, A.A. El-Sabbagh ad Z.A. ZAk * Departmet of Egeerg athematcs
More informationBounds for the Connective Eccentric Index
It. J. Cotemp. Math. Sceces, Vol. 7, 0, o. 44, 6-66 Bouds for the Coectve Eccetrc Idex Nlaja De Departmet of Basc Scece, Humates ad Socal Scece (Mathematcs Calcutta Isttute of Egeerg ad Maagemet Kolkata,
More informationOn Submanifolds of an Almost r-paracontact Riemannian Manifold Endowed with a Quarter Symmetric Metric Connection
Theoretcal Mathematcs & Applcatos vol. 4 o. 4 04-7 ISS: 79-9687 prt 79-9709 ole Scepress Ltd 04 O Submafolds of a Almost r-paracotact emaa Mafold Edowed wth a Quarter Symmetrc Metrc Coecto Mob Ahmad Abdullah.
More informationSpecial Instructions / Useful Data
JAM 6 Set of all real umbers P A..d. B, p Posso Specal Istructos / Useful Data x,, :,,, x x Probablty of a evet A Idepedetly ad detcally dstrbuted Bomal dstrbuto wth parameters ad p Posso dstrbuto wth
More informationEntropy ISSN by MDPI
Etropy 2003, 5, 233-238 Etropy ISSN 1099-4300 2003 by MDPI www.mdp.org/etropy O the Measure Etropy of Addtve Cellular Automata Hasa Aı Arts ad Sceces Faculty, Departmet of Mathematcs, Harra Uversty; 63100,
More informationA Study on Generalized Generalized Quasi hyperbolic Kac Moody algebra QHGGH of rank 10
Global Joural of Mathematcal Sceces: Theory ad Practcal. ISSN 974-3 Volume 9, Number 3 (7), pp. 43-4 Iteratoal Research Publcato House http://www.rphouse.com A Study o Geeralzed Geeralzed Quas (9) hyperbolc
More informationThe Mathematical Appendix
The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.
More informationMaps on Triangular Matrix Algebras
Maps o ragular Matrx lgebras HMED RMZI SOUROUR Departmet of Mathematcs ad Statstcs Uversty of Vctora Vctora, BC V8W 3P4 CND sourour@mathuvcca bstract We surveys results about somorphsms, Jorda somorphsms,
More informationMATH 247/Winter Notes on the adjoint and on normal operators.
MATH 47/Wter 00 Notes o the adjot ad o ormal operators I these otes, V s a fte dmesoal er product space over, wth gve er * product uv, T, S, T, are lear operators o V U, W are subspaces of V Whe we say
More informationIntroduction to local (nonparametric) density estimation. methods
Itroducto to local (oparametrc) desty estmato methods A slecture by Yu Lu for ECE 66 Sprg 014 1. Itroducto Ths slecture troduces two local desty estmato methods whch are Parze desty estmato ad k-earest
More informationLecture 07: Poles and Zeros
Lecture 07: Poles ad Zeros Defto of poles ad zeros The trasfer fucto provdes a bass for determg mportat system respose characterstcs wthout solvg the complete dfferetal equato. As defed, the trasfer fucto
More informationInternational Journal of Mathematical Archive-5(8), 2014, Available online through ISSN
Iteratoal Joural of Mathematcal Archve-5(8) 204 25-29 Avalable ole through www.jma.fo ISSN 2229 5046 COMMON FIXED POINT OF GENERALIZED CONTRACTION MAPPING IN FUZZY METRIC SPACES Hamd Mottagh Golsha* ad
More informationChapter 5 Properties of a Random Sample
Lecture 6 o BST 63: Statstcal Theory I Ku Zhag, /0/008 Revew for the prevous lecture Cocepts: t-dstrbuto, F-dstrbuto Theorems: Dstrbutos of sample mea ad sample varace, relatoshp betwee sample mea ad sample
More informationCHAPTER 4 RADICAL EXPRESSIONS
6 CHAPTER RADICAL EXPRESSIONS. The th Root of a Real Number A real umber a s called the th root of a real umber b f Thus, for example: s a square root of sce. s also a square root of sce ( ). s a cube
More informationL5 Polynomial / Spline Curves
L5 Polyomal / Sple Curves Cotets Coc sectos Polyomal Curves Hermte Curves Bezer Curves B-Sples No-Uform Ratoal B-Sples (NURBS) Mapulato ad Represetato of Curves Types of Curve Equatos Implct: Descrbe a
More informationStrong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity
BULLETIN of the MALAYSIAN MATHEMATICAL SCIENCES SOCIETY Bull. Malays. Math. Sc. Soc. () 7 (004), 5 35 Strog Covergece of Weghted Averaged Appromats of Asymptotcally Noepasve Mappgs Baach Spaces wthout
More informationNon-uniform Turán-type problems
Joural of Combatoral Theory, Seres A 111 2005 106 110 wwwelsevercomlocatecta No-uform Turá-type problems DhruvMubay 1, Y Zhao 2 Departmet of Mathematcs, Statstcs, ad Computer Scece, Uversty of Illos at
More informationDouble Dominating Energy of Some Graphs
Iter. J. Fuzzy Mathematcal Archve Vol. 4, No., 04, -7 ISSN: 30 34 (P), 30 350 (ole) Publshed o 5 March 04 www.researchmathsc.org Iteratoal Joural of V.Kaladev ad G.Sharmla Dev P.G & Research Departmet
More informationSummary of the lecture in Biostatistics
Summary of the lecture Bostatstcs Probablty Desty Fucto For a cotuos radom varable, a probablty desty fucto s a fucto such that: 0 dx a b) b a dx A probablty desty fucto provdes a smple descrpto of the
More informationAN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET
AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET Abstract. The Permaet versus Determat problem s the followg: Gve a matrx X of determates over a feld of characterstc dfferet from
More informationCS5620 Intro to Computer Graphics
CS56 Itro to Computer Graphcs Geometrc Modelg art II Geometrc Modelg II hyscal Sples Curve desg pre-computers Cubc Sples Stadard sple put set of pots { } =, No dervatves specfed as put Iterpolate by cubc
More informationX ε ) = 0, or equivalently, lim
Revew for the prevous lecture Cocepts: order statstcs Theorems: Dstrbutos of order statstcs Examples: How to get the dstrbuto of order statstcs Chapter 5 Propertes of a Radom Sample Secto 55 Covergece
More informationC-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory
ROAD MAP... AE301 Aerodyamcs I UNIT C: 2-D Arfols C-1: Aerodyamcs of Arfols 1 C-2: Aerodyamcs of Arfols 2 C-3: Pael Methods C-4: Th Arfol Theory AE301 Aerodyamcs I Ut C-3: Lst of Subects Problem Solutos?
More informationResearch Article A New Iterative Method for Common Fixed Points of a Finite Family of Nonexpansive Mappings
Hdaw Publshg Corporato Iteratoal Joural of Mathematcs ad Mathematcal Sceces Volume 009, Artcle ID 391839, 9 pages do:10.1155/009/391839 Research Artcle A New Iteratve Method for Commo Fxed Pots of a Fte
More informationTHE PROBABILISTIC STABILITY FOR THE GAMMA FUNCTIONAL EQUATION
Joural of Scece ad Arts Year 12, No. 3(2), pp. 297-32, 212 ORIGINAL AER THE ROBABILISTIC STABILITY FOR THE GAMMA FUNCTIONAL EQUATION DOREL MIHET 1, CLAUDIA ZAHARIA 1 Mauscrpt receved: 3.6.212; Accepted
More informationExtend the Borel-Cantelli Lemma to Sequences of. Non-Independent Random Variables
ppled Mathematcal Sceces, Vol 4, 00, o 3, 637-64 xted the Borel-Catell Lemma to Sequeces of No-Idepedet Radom Varables olah Der Departmet of Statstc, Scece ad Research Campus zad Uversty of Tehra-Ira der53@gmalcom
More informationOn Face Bimagic Labeling of Graphs
IOSR Joural of Mathematcs (IOSR-JM) e-issn: 78-578, p-issn: 319-765X Volume 1, Issue 6 Ver VI (Nov - Dec016), PP 01-07 wwwosrouralsor O Face Bmac Label of Graphs Mohammed Al Ahmed 1,, J Baskar Babuee 1
More informationQ-analogue of a Linear Transformation Preserving Log-concavity
Iteratoal Joural of Algebra, Vol. 1, 2007, o. 2, 87-94 Q-aalogue of a Lear Trasformato Preservg Log-cocavty Daozhog Luo Departmet of Mathematcs, Huaqao Uversty Quazhou, Fua 362021, P. R. Cha ldzblue@163.com
More informationPacking of graphs with small product of sizes
Joural of Combatoral Theory, Seres B 98 (008) 4 45 www.elsever.com/locate/jctb Note Packg of graphs wth small product of szes Alexadr V. Kostochka a,b,,gexyu c, a Departmet of Mathematcs, Uversty of Illos,
More informationIdeal multigrades with trigonometric coefficients
Ideal multgrades wth trgoometrc coeffcets Zarathustra Brady December 13, 010 1 The problem A (, k) multgrade s defed as a par of dstct sets of tegers such that (a 1,..., a ; b 1,..., b ) a j = =1 for all
More informationOn L- Fuzzy Sets. T. Rama Rao, Ch. Prabhakara Rao, Dawit Solomon And Derso Abeje.
Iteratoal Joural of Fuzzy Mathematcs ad Systems. ISSN 2248-9940 Volume 3, Number 5 (2013), pp. 375-379 Research Ida Publcatos http://www.rpublcato.com O L- Fuzzy Sets T. Rama Rao, Ch. Prabhakara Rao, Dawt
More informationInvestigating Cellular Automata
Researcher: Taylor Dupuy Advsor: Aaro Wootto Semester: Fall 4 Ivestgatg Cellular Automata A Overvew of Cellular Automata: Cellular Automata are smple computer programs that geerate rows of black ad whte
More informationDIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS
DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS Course Project: Classcal Mechacs (PHY 40) Suja Dabholkar (Y430) Sul Yeshwath (Y444). Itroducto Hamltoa mechacs s geometry phase space. It deals
More informationTHE COMPLETE ENUMERATION OF FINITE GROUPS OF THE FORM R 2 i ={R i R j ) k -i=i
ENUMERATON OF FNTE GROUPS OF THE FORM R ( 2 = (RfR^'u =1. 21 THE COMPLETE ENUMERATON OF FNTE GROUPS OF THE FORM R 2 ={R R j ) k -= H. S. M. COXETER*. ths paper, we vestgate the abstract group defed by
More informationHypersurfaces with Constant Scalar Curvature in a Hyperbolic Space Form
Hypersurfaces wth Costat Scalar Curvature a Hyperbolc Space Form Lu Xm ad Su Wehog Abstract Let M be a complete hypersurface wth costat ormalzed scalar curvature R a hyperbolc space form H +1. We prove
More informationE be a set of parameters. A pair FE, is called a soft. A and GB, over X is the soft set HC,, and GB, over X is the soft set HC,, where.
The Exteso of Sgular Homology o the Category of Soft Topologcal Spaces Sad Bayramov Leoard Mdzarshvl Cgdem Guduz (Aras) Departmet of Mathematcs Kafkas Uversty Kars 3600-Turkey Departmet of Mathematcs Georga
More information{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution:
Chapter 4 Exercses Samplg Theory Exercse (Smple radom samplg: Let there be two correlated radom varables X ad A sample of sze s draw from a populato by smple radom samplg wthout replacemet The observed
More informationUNIT 2 SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS
Numercal Computg -I UNIT SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS Structure Page Nos..0 Itroducto 6. Objectves 7. Ital Approxmato to a Root 7. Bsecto Method 8.. Error Aalyss 9.4 Regula Fals Method
More informationNumerical Analysis Formulae Booklet
Numercal Aalyss Formulae Booklet. Iteratve Scemes for Systems of Lear Algebrac Equatos:.... Taylor Seres... 3. Fte Dfferece Approxmatos... 3 4. Egevalues ad Egevectors of Matrces.... 3 5. Vector ad Matrx
More informationEstimation of Stress- Strength Reliability model using finite mixture of exponential distributions
Iteratoal Joural of Computatoal Egeerg Research Vol, 0 Issue, Estmato of Stress- Stregth Relablty model usg fte mxture of expoetal dstrbutos K.Sadhya, T.S.Umamaheswar Departmet of Mathematcs, Lal Bhadur
More informationGENERALIZATIONS OF CEVA S THEOREM AND APPLICATIONS
GENERLIZTIONS OF CEV S THEOREM ND PPLICTIONS Floret Smaradache Uversty of New Mexco 200 College Road Gallup, NM 87301, US E-mal: smarad@um.edu I these paragraphs oe presets three geeralzatos of the famous
More informationLecture 3 Probability review (cont d)
STATS 00: Itroducto to Statstcal Iferece Autum 06 Lecture 3 Probablty revew (cot d) 3. Jot dstrbutos If radom varables X,..., X k are depedet, the ther dstrbuto may be specfed by specfyg the dvdual dstrbuto
More informationTESTS BASED ON MAXIMUM LIKELIHOOD
ESE 5 Toy E. Smth. The Basc Example. TESTS BASED ON MAXIMUM LIKELIHOOD To llustrate the propertes of maxmum lkelhood estmates ad tests, we cosder the smplest possble case of estmatg the mea of the ormal
More informationFunctions of Random Variables
Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,
More informationLattices. Mathematical background
Lattces Mathematcal backgroud Lattces : -dmesoal Eucldea space. That s, { T x } x x = (,, ) :,. T T If x= ( x,, x), y = ( y,, y), the xy, = xy (er product of xad y) x = /2 xx, (Eucldea legth or orm of
More informationLecture 3. Sampling, sampling distributions, and parameter estimation
Lecture 3 Samplg, samplg dstrbutos, ad parameter estmato Samplg Defto Populato s defed as the collecto of all the possble observatos of terest. The collecto of observatos we take from the populato s called
More information1 Onto functions and bijections Applications to Counting
1 Oto fuctos ad bectos Applcatos to Coutg Now we move o to a ew topc. Defto 1.1 (Surecto. A fucto f : A B s sad to be surectve or oto f for each b B there s some a A so that f(a B. What are examples of
More informationCS286.2 Lecture 4: Dinur s Proof of the PCP Theorem
CS86. Lecture 4: Dur s Proof of the PCP Theorem Scrbe: Thom Bohdaowcz Prevously, we have prove a weak verso of the PCP theorem: NP PCP 1,1/ (r = poly, q = O(1)). Wth ths result we have the desred costat
More informationA Remark on the Uniform Convergence of Some Sequences of Functions
Advaces Pure Mathematcs 05 5 57-533 Publshed Ole July 05 ScRes. http://www.scrp.org/joural/apm http://dx.do.org/0.436/apm.05.59048 A Remark o the Uform Covergece of Some Sequeces of Fuctos Guy Degla Isttut
More informationApplication of Legendre Bernstein basis transformations to degree elevation and degree reduction
Computer Aded Geometrc Desg 9 79 78 www.elsever.com/locate/cagd Applcato of Legedre Berste bass trasformatos to degree elevato ad degree reducto Byug-Gook Lee a Yubeom Park b Jaechl Yoo c a Dvso of Iteret
More informationIntroduction to Probability
Itroducto to Probablty Nader H Bshouty Departmet of Computer Scece Techo 32000 Israel e-mal: bshouty@cstechoacl 1 Combatorcs 11 Smple Rules I Combatorcs The rule of sum says that the umber of ways to choose
More informationGalois and Post Algebras of Compositions (Superpositions)
Pure ad Appled Mathematcs Joural 07; 6(): -9 http://www.scecepublshggroup.com/j/pamj do: 0.68/j.pamj.07060. IN: 6-9790 (Prt); IN: 6-98 (Ole) Galos ad Post Algebras of Compostos (uperpostos) Maydm Malkov
More informationSTK4011 and STK9011 Autumn 2016
STK4 ad STK9 Autum 6 Pot estmato Covers (most of the followg materal from chapter 7: Secto 7.: pages 3-3 Secto 7..: pages 3-33 Secto 7..: pages 35-3 Secto 7..3: pages 34-35 Secto 7.3.: pages 33-33 Secto
More informationTransforms that are commonly used are separable
Trasforms s Trasforms that are commoly used are separable Eamples: Two-dmesoal DFT DCT DST adamard We ca the use -D trasforms computg the D separable trasforms: Take -D trasform of the rows > rows ( )
More informationρ < 1 be five real numbers. The
Lecture o BST 63: Statstcal Theory I Ku Zhag, /0/006 Revew for the prevous lecture Deftos: covarace, correlato Examples: How to calculate covarace ad correlato Theorems: propertes of correlato ad covarace
More informationAnalysis of Lagrange Interpolation Formula
P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue, December 4. www.jset.com ISS 348 7968 Aalyss of Lagrage Iterpolato Formula Vjay Dahya PDepartmet of MathematcsMaharaja Surajmal
More informationHarley Flanders Differential Forms with Applications to the Physical Sciences. Dover, 1989 (1962) Contents FOREWORD
Harley Fladers Dfferetal Forms wth Applcatos to the Physcal Sceces FORWORD Dover, 989 (962) Cotets PRFAC TO TH DOVR DITION PRFAC TO TH FIRST DITION.. xteror Dfferetal Forms.2. Comparso wth Tesors 2.. The
More information3D Geometry for Computer Graphics. Lesson 2: PCA & SVD
3D Geometry for Computer Graphcs Lesso 2: PCA & SVD Last week - egedecomposto We wat to lear how the matrx A works: A 2 Last week - egedecomposto If we look at arbtrary vectors, t does t tell us much.
More informationNP!= P. By Liu Ran. Table of Contents. The P versus NP problem is a major unsolved problem in computer
NP!= P By Lu Ra Table of Cotets. Itroduce 2. Prelmary theorem 3. Proof 4. Expla 5. Cocluso. Itroduce The P versus NP problem s a major usolved problem computer scece. Iformally, t asks whether a computer
More informationA NEW LOG-NORMAL DISTRIBUTION
Joural of Statstcs: Advaces Theory ad Applcatos Volume 6, Number, 06, Pages 93-04 Avalable at http://scetfcadvaces.co. DOI: http://dx.do.org/0.864/jsata_700705 A NEW LOG-NORMAL DISTRIBUTION Departmet of
More informationDerivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations
Dervato of -Pot Block Method Formula for Solvg Frst Order Stff Ordary Dfferetal Equatos Kharul Hamd Kharul Auar, Kharl Iskadar Othma, Zara Bb Ibrahm Abstract Dervato of pot block method formula wth costat
More informationChapter 4 Multiple Random Variables
Revew for the prevous lecture: Theorems ad Examples: How to obta the pmf (pdf) of U = g (, Y) ad V = g (, Y) Chapter 4 Multple Radom Varables Chapter 44 Herarchcal Models ad Mxture Dstrbutos Examples:
More information. The set of these sums. be a partition of [ ab, ]. Consider the sum f( x) f( x 1)
Chapter 7 Fuctos o Bouded Varato. Subject: Real Aalyss Level: M.Sc. Source: Syed Gul Shah (Charma, Departmet o Mathematcs, US Sargodha Collected & Composed by: Atq ur Rehma (atq@mathcty.org, http://www.mathcty.org
More information2. Independence and Bernoulli Trials
. Ideedece ad Beroull Trals Ideedece: Evets ad B are deedet f B B. - It s easy to show that, B deedet mles, B;, B are all deedet ars. For examle, ad so that B or B B B B B φ,.e., ad B are deedet evets.,
More informationProbabilistic Meanings of Numerical Characteristics for Single Birth Processes
A^VÇÚO 32 ò 5 Ï 206 c 0 Chese Joural of Appled Probablty ad Statstcs Oct 206 Vol 32 No 5 pp 452-462 do: 03969/jss00-426820605002 Probablstc Meags of Numercal Characterstcs for Sgle Brth Processes LIAO
More informationANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK
Far East Joural of Appled Mathematcs Volume, Number, 2008, Pages Ths paper s avalable ole at http://www.pphm.com 2008 Pushpa Publshg House ANALYSIS ON THE NATURE OF THE ASI EQUATIONS IN SYNERGETI INTER-REPRESENTATION
More informationMaximum Walk Entropy Implies Walk Regularity
Maxmum Walk Etropy Imples Walk Regularty Eresto Estraa, a José. e la Peña Departmet of Mathematcs a Statstcs, Uversty of Strathclye, Glasgow G XH, U.K., CIMT, Guaajuato, Mexco BSTRCT: The oto of walk etropy
More informationThe Role of Root System in Classification of Symmetric Spaces
Amerca Joural of Mathematcs ad Statstcs 2016, 6(5: 197-202 DOI: 10.5923/j.ajms.20160605.01 The Role of Root System Classfcato of Symmetrc Spaces M-Alam A. H. Ahmed 1,2 1 Departmet of Mathematcs, Faculty
More informationParameter, Statistic and Random Samples
Parameter, Statstc ad Radom Samples A parameter s a umber that descrbes the populato. It s a fxed umber, but practce we do ot kow ts value. A statstc s a fucto of the sample data,.e., t s a quatty whose
More informationAssignment 5/MATH 247/Winter Due: Friday, February 19 in class (!) (answers will be posted right after class)
Assgmet 5/MATH 7/Wter 00 Due: Frday, February 9 class (!) (aswers wll be posted rght after class) As usual, there are peces of text, before the questos [], [], themselves. Recall: For the quadratc form
More informationPTAS for Bin-Packing
CS 663: Patter Matchg Algorthms Scrbe: Che Jag /9/00. Itroducto PTAS for B-Packg The B-Packg problem s NP-hard. If we use approxmato algorthms, the B-Packg problem could be solved polyomal tme. For example,
More informationα1 α2 Simplex and Rectangle Elements Multi-index Notation of polynomials of degree Definition: The set P k will be the set of all functions:
Smplex ad Rectagle Elemets Mult-dex Notato = (,..., ), o-egatve tegers = = β = ( β,..., β ) the + β = ( + β,..., + β ) + x = x x x x = x x β β + D = D = D D x x x β β Defto: The set P of polyomals of degree
More information18.413: Error Correcting Codes Lab March 2, Lecture 8
18.413: Error Correctg Codes Lab March 2, 2004 Lecturer: Dael A. Spelma Lecture 8 8.1 Vector Spaces A set C {0, 1} s a vector space f for x all C ad y C, x + y C, where we take addto to be compoet wse
More informationAssignment 7/MATH 247/Winter, 2010 Due: Friday, March 19. Powers of a square matrix
Assgmet 7/MATH 47/Wter, 00 Due: Frday, March 9 Powers o a square matrx Gve a square matrx A, ts powers A or large, or eve arbtrary, teger expoets ca be calculated by dagoalzg A -- that s possble (!) Namely,
More informationIntroduction to Matrices and Matrix Approach to Simple Linear Regression
Itroducto to Matrces ad Matrx Approach to Smple Lear Regresso Matrces Defto: A matrx s a rectagular array of umbers or symbolc elemets I may applcatos, the rows of a matrx wll represet dvduals cases (people,
More informationOn Eccentricity Sum Eigenvalue and Eccentricity Sum Energy of a Graph
Aals of Pure ad Appled Mathematcs Vol. 3, No., 7, -3 ISSN: 79-87X (P, 79-888(ole Publshed o 3 March 7 www.researchmathsc.org DOI: http://dx.do.org/.7/apam.3a Aals of O Eccetrcty Sum Egealue ad Eccetrcty
More informationON THE LOGARITHMIC INTEGRAL
Hacettepe Joural of Mathematcs ad Statstcs Volume 39(3) (21), 393 41 ON THE LOGARITHMIC INTEGRAL Bra Fsher ad Bljaa Jolevska-Tueska Receved 29:9 :29 : Accepted 2 :3 :21 Abstract The logarthmc tegral l(x)
More informationDiscrete Mathematics and Probability Theory Fall 2016 Seshia and Walrand DIS 10b
CS 70 Dscrete Mathematcs ad Probablty Theory Fall 206 Sesha ad Walrad DIS 0b. Wll I Get My Package? Seaky delvery guy of some compay s out delverg packages to customers. Not oly does he had a radom package
More informationSolving Constrained Flow-Shop Scheduling. Problems with Three Machines
It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632
More informationNP!= P. By Liu Ran. Table of Contents. The P vs. NP problem is a major unsolved problem in computer
NP!= P By Lu Ra Table of Cotets. Itroduce 2. Strategy 3. Prelmary theorem 4. Proof 5. Expla 6. Cocluso. Itroduce The P vs. NP problem s a major usolved problem computer scece. Iformally, t asks whether
More informationLower Bounds of the Kirchhoff and Degree Kirchhoff Indices
SCIENTIFIC PUBLICATIONS OF THE STATE UNIVERSITY OF NOVI PAZAR SER. A: APPL. MATH. INFORM. AND MECH. vol. 7, (205), 25-3. Lower Bouds of the Krchhoff ad Degree Krchhoff Idces I. Ž. Mlovaovć, E. I. Mlovaovć,
More informationPoint Estimation: definition of estimators
Pot Estmato: defto of estmators Pot estmator: ay fucto W (X,..., X ) of a data sample. The exercse of pot estmato s to use partcular fuctos of the data order to estmate certa ukow populato parameters.
More informationTopological Indices of Hypercubes
202, TextRoad Publcato ISSN 2090-4304 Joural of Basc ad Appled Scetfc Research wwwtextroadcom Topologcal Idces of Hypercubes Sahad Daeshvar, okha Izbrak 2, Mozhga Masour Kalebar 3,2 Departmet of Idustral
More informationBivariate Vieta-Fibonacci and Bivariate Vieta-Lucas Polynomials
IOSR Joural of Mathematcs (IOSR-JM) e-issn: 78-78, p-issn: 19-76X. Volume 1, Issue Ver. II (Jul. - Aug.016), PP -0 www.osrjourals.org Bvarate Veta-Fboacc ad Bvarate Veta-Lucas Polomals E. Gokce KOCER 1
More informationOn the construction of symmetric nonnegative matrix with prescribed Ritz values
Joural of Lear ad Topologcal Algebra Vol. 3, No., 14, 61-66 O the costructo of symmetrc oegatve matrx wth prescrbed Rtz values A. M. Nazar a, E. Afshar b a Departmet of Mathematcs, Arak Uversty, P.O. Box
More informationDesign maintenanceand reliability of engineering systems: a probability based approach
Desg mateaead relablty of egeerg systems: a probablty based approah CHPTER 2. BSIC SET THEORY 2.1 Bas deftos Sets are the bass o whh moder probablty theory s defed. set s a well-defed olleto of objets.
More informationAbout k-perfect numbers
DOI: 0.47/auom-04-0005 A. Şt. Uv. Ovdus Costaţa Vol.,04, 45 50 About k-perfect umbers Mhály Becze Abstract ABSTRACT. I ths paper we preset some results about k-perfect umbers, ad geeralze two equaltes
More informationOn Complementary Edge Magic Labeling of Certain Graphs
Amerca Joural of Mathematcs ad Statstcs 0, (3: -6 DOI: 0.593/j.ajms.0003.0 O Complemetary Edge Magc Labelg of Certa Graphs Sajay Roy,*, D.G. Akka Research Scholar, Ida Academc Dea, HMS sttute of Techology,
More informationCan we take the Mysticism Out of the Pearson Coefficient of Linear Correlation?
Ca we tae the Mstcsm Out of the Pearso Coeffcet of Lear Correlato? Itroducto As the ttle of ths tutoral dcates, our purpose s to egeder a clear uderstadg of the Pearso coeffcet of lear correlato studets
More informationComplete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables
Joural of Sceces, Islamc Republc of Ira 8(4): -6 (007) Uversty of Tehra, ISSN 06-04 http://sceces.ut.ac.r Complete Covergece ad Some Maxmal Iequaltes for Weghted Sums of Radom Varables M. Am,,* H.R. Nl
More informationComparing Different Estimators of three Parameters for Transmuted Weibull Distribution
Global Joural of Pure ad Appled Mathematcs. ISSN 0973-768 Volume 3, Number 9 (207), pp. 55-528 Research Ida Publcatos http://www.rpublcato.com Comparg Dfferet Estmators of three Parameters for Trasmuted
More information1 Lyapunov Stability Theory
Lyapuov Stablty heory I ths secto we cosder proofs of stablty of equlbra of autoomous systems. hs s stadard theory for olear systems, ad oe of the most mportat tools the aalyss of olear systems. It may
More informationReview Exam II Complex Analysis
Revew Exam II Complex Aalyss Uderled Propostos or Theorems: Proofs May Be Asked for o Exam Chapter 3. Ifte Seres Defto: Covergece Defto: Absolute Covergece Proposto. Absolute Covergece mples Covergece
More informationThird handout: On the Gini Index
Thrd hadout: O the dex Corrado, a tala statstca, proposed (, 9, 96) to measure absolute equalt va the mea dfferece whch s defed as ( / ) where refers to the total umber of dvduals socet. Assume that. The
More informationChapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II
CEE49b Chapter - Free Vbrato of Mult-Degree-of-Freedom Systems - II We ca obta a approxmate soluto to the fudametal atural frequecy through a approxmate formula developed usg eergy prcples by Lord Raylegh
More informationarxiv:math/ v1 [math.gm] 8 Dec 2005
arxv:math/05272v [math.gm] 8 Dec 2005 A GENERALIZATION OF AN INEQUALITY FROM IMO 2005 NIKOLAI NIKOLOV The preset paper was spred by the thrd problem from the IMO 2005. A specal award was gve to Yure Boreko
More informationApplication of Generating Functions to the Theory of Success Runs
Aled Mathematcal Sceces, Vol. 10, 2016, o. 50, 2491-2495 HIKARI Ltd, www.m-hkar.com htt://dx.do.org/10.12988/ams.2016.66197 Alcato of Geeratg Fuctos to the Theory of Success Rus B.M. Bekker, O.A. Ivaov
More information