A Family of Multivariate Abel Series Distributions. of Order k
|
|
- Barnard Waters
- 5 years ago
- Views:
Transcription
1 Appled Mthemtcl Scences, Vol. 2, 2008, no. 45, A Fmly of Multvrte Abel Seres Dstrbutons of Order k Rupk Gupt & Kshore K. Ds 2 Fculty of Scence & Technology, The Icf Unversty, Agrtl, Trpur, Ind e-ml: rupk_cftech@yhoo.co.uk & 2 Deprtment of Sttstcs, Guht Unversty, Guwht, Assm, Ind e-ml: dskkshore@gml.com Abstrct In ths pper n ttempt s mde to defne the multvrte bel seres dstrbutons (MASDs) of order k. From MASD of order k, new dstrbuton clled the qus multvrte logrthmc seres dstrbuton (QMLSD) of order k s derved. Some well known dstrbutons re lso obtned by new method of dervton. Lmtng dstrbuton of QNMD of order k re studed. Mthemtcs Subect Clssfcton: 62E5; 62E7 Keywords: Multvrte Abel seres dstrbutons of order k, qus multvrte logrthmc seres dstrbuton of order k, qus multnoml dstrbuton of order k, qus negtve multnoml dstrbuton of order k. Introducton In ths study, consderng the multvrte Abel seres dstrbuton of order k, we hve defned multvrte Abel seres dstrbutons of order k. From the MASDs of order k, new dstrbuton clled Qus Multvrte logrthmc seres dstrbuton of order k s obtned. Also vrnt of qus negtve multnoml dstrbuton of order k s studed. Moreover, on usng new method of dervton some well known dstrbutons, vz. qus multnoml dstrbuton of type-i of order k (QMD-I (k)), qus multnoml dstrbuton of type-ii of order k (QMD-II (k)), multple generlzed posson dstrbuton of order k (MGPD (k)) etc. re obtned. A property,.e. the lmtng dstrbuton of the QNMD of order k hs been found out.
2 2240 R. Gupt nd K. K. Ds 2. Multvrte Abel seres dstrbuton of order k nd ts specl cses Let us consder fnte nd postve functon f ( ) of ( ) =,..., mk, where ech ( = () m), = () k s non-negtve nteger. For ny rel z, we hve the multnoml bel seres expnson of order k s, x ( k ) ( ) (, ) = ( ) /! ( ) = xz x = x = =.. () m k f f z x z x d f where the summton s over x, x 2, x 3,..., x k such tht x = x nd ech x ( = () m) ( k ) beng non-negtve nteger nd the fctor d f ( ) = xz / x! s denoted by β ( x, z) s ndependent of, whch s lwys greter thn zero. The domn of = (,..., mk ) s subspce of n mk-dmensonl prmeter spce subect to restrctons 0, f z 0 nd ( xz) 0, f z 0, z belongng to sutble subect of rel numbers. Thus, (2.) cn be wrtten, x ( ) (, ) = β (, ) ( ).. (2) x = x f f z x z x z usng the forml seres expnson (2.), we suggest the followng defnton for the multvrte bel seres dstrbuton of order k (MASD (k)) Defnton A multvrte dscrete dstrbuton of order k, pk ( x) s sd to be MASD (k) fmly, f t hs the followng probblty functon (p.f.), x ( k ) pk ( x) pk ( x;, z) = ( xz) /( k )! d f ( ) / f( ) = xz x = x... (3) where x = x, ech x beng non-negtve nteger, the ( = () m; = () k) nd z re prmeters nd f() re stted n (2.). For z = 0, the probblty functon (2.3) becomes multvrte power seres dstrbuton of order k.
3 Multvrte Abel seres dstrbutons 224 For z = 0 nd k =, the probblty functon (2.3) becomes multvrte Abel seres dstrbuton (Nnd nd Ds, 996) nd the z = 0, t becomes usul multvrte power seres dstrbuton (Ptl, 965). Dervton of some dstrbutons I. Here we derve new dstrbuton from MASD (k), clled the multvrte logrthmc seres dstrbuton of order k. Let us consder Abel seres expnson of order k of the logrthmc seres functon f() gven by, x! x log = x ( ) ;..... (4)! = x x ; x = 0,,...; for m, x > 0,0 < < ( for m& k); < Thus the ssocted MASD-fmly of order k hs the followng probblty functon, x! x pk ( x) = x ( ) ;......(5)! = x x log ; x = 0,,...; for m, x > 0,0 < < ( for m& k); < ~ MLSDk(,..., mk) (Ak, Kubok nd Hrno (984)) For k =, the probblty functon (2.5) becomes usul MLSD wth prmeters, 2, 3,..., m,.e., m x! p x x x x m m = x (,..., m) = ; 0; 0 m m = = x! log = =..... (6) For m =, the p.f. (2.5) becomes the multprmeter logrthmc seres dstrbuton of order k (Phlppou, 988). II. Here we derve new dstrbuton from MASD (k), clled the qusmultvrte logrthmc seres dstrbuton of order k (QMLSD (k)) s follows.
4 2242 R. Gupt nd K. K. Ds Consder the logrthmc seres functon f ( ) log ( ) = mk nd (,..., mk ) expnson of log ( ) of order k s, =, where =. Then the multvrte Abel seres x! x log ( ) = ( x z) x z x! = x where ( x ) x = x s defned n (2.) nd 0 < = mk <. Thus the ssocted MASD fmly of order k hs the followng p. f. x! ( x )! [ log( ) ] x k( ) = x = x x.(7) p x ( xz) xz ; () () x 0, = m, = k& 0 < < x.(8) The p.f. (2.8) s clled the QMLSD (k). If z 0, then the p. f. (2.8) becomes the multnoml logrthmc seres dstrbuton of order k. For k =, the p.f. (2.8) becomes QMLSD (Nnd & Ds, 996) nd then s z 0, t becomes the common multnoml logrthmc seres dstrbuton (Johnson & Kotz, 969, p.303). III. (k)). Next we obtn qus multnoml dstrbuton of type-i of order k (QMD-I Let us consder the smple seres functon f ( ) = ( + b) n, where ( ) = + +. Then the multvrte Abel seres =,..., mk nd... mk expnson of ( + b) n of order k s, n x ( + b) = ( xz) ( b+ xz) x = x x n Hence the correspondng MASD fmly fnds the p.f. of QMD-I (k), n x n x n pk( x) = ( xz) ( b+ xz) /( + b)... (9) x n x
5 Multvrte Abel seres dstrbutons 2243 where, 0 x = x n Suppose, n = x n! n x! x! ( ) ( + b), ech x beng non- negtve nteger nd p = ; = () m& = () k; p 0 = ( + b) ndφ = Usng (2.0) n (2.9), we get z ( + b) n p x p x p p x m k n x ( 0 φ) ( φ).(0) x k( ) = +..() x = = m k where, 0 x n, p = nd = = For k =, we get the p.f. (2.9) s QMD-I (Jnrdn, 975). IV. Now, we derve the multple generlzed posson dstrbuton of order k. Let us consder the exponentl seres functon f ( ) = e, where (,..., mk ) expnson of ( ) = nd = mk. Then the multvrte Abel seres f = e s, x xz e = ( x z) /( x )! e...(2) x = x where x = x s stted n (2.) Thus the correspondng p.f. of the MASD fmly of order k s, m k ( ) ( ) x ( x z) pk( x) = [ xz e / x!]..... (3) = = where x = x nd ech x beng non-negtve nteger. The p.f. (2.3) s known s the MGPD of order k nd for k =, the p.f. (2.3) reduces to MGPD (Jnrdn, 975). V. Fnlly, we derve the qus negtve multnoml dstrbuton of order k. Let us consder the seres functon, f ( ) = ( b ) n, where ( ) = + +. Then the multvrte Abel seres =,..., mk nd... mk expnson of ( b ) n of order k s,
6 2244 R. Gupt nd K. K. Ds Γ n+ x n x n x ( b ) = ( xz) b xz x = x x! Γ( n ) where re gven n (2.). x = x Then the ssocted fmly of the MASD of order k hs the p.f. Γ n+ x n x x n pk( x) = ( xz) b xz ( b ) x! ( n Γ )... (4) ; x 0; = () m nd = () k. Suppose, p = ; = () m& = () k; ( b ) b z Q = ndφ =...(5) ( b ) ( b ) Applyng (2.5) to the p.f. (2.4), we get Γ n+ x n x x pk( x) = P( P xφ) Q xφ..(6) x! ( n Γ ) where P x φ 0 nd Q P = The probblty functons (2.4) nd (2.6) re clled QNMD of order k. If z = 0, then (2.4) nd (2.6) reduces to negtve multnoml dstrbuton of order k. If k =, then (2.4) nd (2.6) reduces to QNMD nd then for z = 0, t reduces to common negtve multnoml dstrbuton (Johnson nd Kotz, 969, p. 292). 3. Propertes of QNMD of order k Lmtng dstrbutons The QNMD of order k, (2.6) wth P ( = () m, = () k), Q, φ nd n tends to multple generlzed posson dstrbuton wth prmeters λ ( = () m, =
7 Multvrte Abel seres dstrbutons 2245 () k) nd ϕ, s n, P 0 nd φ 0, such tht np = λ nd nφ = ϕ. The probblty functon of ths lmtng dstrbuton s gven n (2.3). Acknowledgements One of the uthors, Rupk Gupt s grteful to Dr. R. K. Ptnk, Pro Vce-Chncellor of The Icf Unversty, Trpur, Ind nd Prof. J. J. Kwle, Drector, INEUC for ther constnt encourgements nd motvtons to pursue reserch works. The uthor cknowledges the fnncl support receved from the Icf Unversty, Trpur. Also, the uthors thnks the referees for ther helpful suggestons nd comments. References [] Ak, S. nd Hrno, K. (988). Some chrcterstcs of the bnoml dstrbuton of order k nd relted dstrbutons, Sttstcl Theory nd Dt Anlyss II, (ed. K. Mtust), -222, North Holnd. [2] Ak, S., Kubok, H nd Hrno, K. (984). On dscrete dstrbutons of order k, Ann. Inst.Sttst. Mth., 36, [3] Ak, S. nd Hrno, K. (994). Dstrbutons of numbers of flures nd successes untl the consecutve k successes, Ann. Inst. Sttst. Mth., 46, [4] Chrlmbdes, Ch. A. (986). On dscrete dstrbutons of order k, Ann. Inst. Sttst. Mth., 38, [5] Comtet. L. (974). Advnced Combntorcs, D. Redl Publshng Compny, Inc., Boston, U.S.A [6] Consul, P. C. (974). A smple urn model dependent on predetermned strtegy, Snkhy, B.36, [7] Consul, P.C.nd Jn, G.C.(973).A generlzton of the Posson dstrbuton, Technometrcs, 5(4), [8] Ds, K. K.(Mrch, 993). Some spects of clss of qus bnoml dstrbutons, Assm Sttstcl Revew, 7, [9] Jnrdn, K. G. (975). Mrkov-Poly urn models wth predetermned strteges I, Gurt Sttst. Revew, 2, 7-32.
8 2246 R. Gupt nd K. K. Ds [0] Johnson, N. L. nd Kotz, S. (969). Dscrete Dstrbutons, John Wley nd Sons, Inc., New York. [] Hrno, K. (986). Some propertes of the dstrbutons of order k, Fboncc Numbers nd Ther Applctons (eds.a. N. Phlppou, G. E. Bergum nd A. F. Hordm), 43-53, Redel, Dordrecht. [2] Lng, K. D. (988). On Bnoml dstrbutons of order k, Sttst. Probb. Lett., 6, [3] Nnd, S. B. nd Ds, K. K. A Fmly of the Abel Seres Dstrbutons, Snkhy: The Indn Journl of Sttstcs, 994, Volume 56, Seres B, Pt. 2, pp [4] Nnd, S. B. nd Ds, K. K. A Fmly of the Multvrte Abel Seres Dstrbutons, Snkhy: The Indn Journl of Sttstcs, 996, Volume 58, Seres A, Pt. 2, pp [5] Phlppou, A. N., Georghou, C. nd Phlppou, G. N. (983). A generlzed geometrc dstrbuton nd some of ts propertes, Sttst. Probb. Lett.,,7-75. Receved: Februry 7, 2008
CHOVER-TYPE LAWS OF THE ITERATED LOGARITHM FOR WEIGHTED SUMS OF ρ -MIXING SEQUENCES
CHOVER-TYPE LAWS OF THE ITERATED LOGARITHM FOR WEIGHTED SUMS OF ρ -MIXING SEQUENCES GUANG-HUI CAI Receved 24 September 2004; Revsed 3 My 2005; Accepted 3 My 2005 To derve Bum-Ktz-type result, we estblsh
More informationTwo Coefficients of the Dyson Product
Two Coeffcents of the Dyson Product rxv:07.460v mth.co 7 Nov 007 Lun Lv, Guoce Xn, nd Yue Zhou 3,,3 Center for Combntorcs, LPMC TJKLC Nnk Unversty, Tnjn 30007, P.R. Chn lvlun@cfc.nnk.edu.cn gn@nnk.edu.cn
More informationCHI-SQUARE DIVERGENCE AND MINIMIZATION PROBLEM
CHI-SQUARE DIVERGENCE AND MINIMIZATION PROBLEM PRANESH KUMAR AND INDER JEET TANEJA Abstrct The mnmum dcrmnton nformton prncple for the Kullbck-Lebler cross-entropy well known n the lterture In th pper
More informationPrinciple Component Analysis
Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors
More informationThe Number of Rows which Equal Certain Row
Interntonl Journl of Algebr, Vol 5, 011, no 30, 1481-1488 he Number of Rows whch Equl Certn Row Ahmd Hbl Deprtment of mthemtcs Fcult of Scences Dmscus unverst Dmscus, Sr hblhmd1@gmlcom Abstrct Let be X
More informationApplied Statistics Qualifier Examination
Appled Sttstcs Qulfer Exmnton Qul_june_8 Fll 8 Instructons: () The exmnton contns 4 Questons. You re to nswer 3 out of 4 of them. () You my use ny books nd clss notes tht you mght fnd helpful n solvng
More informationResearch Article On the Upper Bounds of Eigenvalues for a Class of Systems of Ordinary Differential Equations with Higher Order
Hndw Publshng Corporton Interntonl Journl of Dfferentl Equtons Volume 0, Artcle ID 7703, pges do:055/0/7703 Reserch Artcle On the Upper Bounds of Egenvlues for Clss of Systems of Ordnry Dfferentl Equtons
More informationTHE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR
REVUE D ANALYSE NUMÉRIQUE ET DE THÉORIE DE L APPROXIMATION Tome 32, N o 1, 2003, pp 11 20 THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR TEODORA CĂTINAŞ Abstrct We extend the Sheprd opertor by
More information90 S.S. Drgomr nd (t b)du(t) =u()(b ) u(t)dt: If we dd the bove two equltes, we get (.) u()(b ) u(t)dt = p(; t)du(t) where p(; t) := for ll ; t [; b]:
RGMIA Reserch Report Collecton, Vol., No. 1, 1999 http://sc.vu.edu.u/οrgm ON THE OSTROWSKI INTEGRAL INEQUALITY FOR LIPSCHITZIAN MAPPINGS AND APPLICATIONS S.S. Drgomr Abstrct. A generlzton of Ostrowsk's
More informationLOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN FRACTAL HEAT TRANSFER
Yn, S.-P.: Locl Frctonl Lplce Seres Expnson Method for Dffuson THERMAL SCIENCE, Yer 25, Vol. 9, Suppl., pp. S3-S35 S3 LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN
More informationON SIMPSON S INEQUALITY AND APPLICATIONS. 1. Introduction The following inequality is well known in the literature as Simpson s inequality : 2 1 f (4)
ON SIMPSON S INEQUALITY AND APPLICATIONS SS DRAGOMIR, RP AGARWAL, AND P CERONE Abstrct New neultes of Smpson type nd ther pplcton to udrture formule n Numercl Anlyss re gven Introducton The followng neulty
More informationINTRODUCTION TO COMPLEX NUMBERS
INTRODUCTION TO COMPLEX NUMBERS The numers -4, -3, -, -1, 0, 1,, 3, 4 represent the negtve nd postve rel numers termed ntegers. As one frst lerns n mddle school they cn e thought of s unt dstnce spced
More informationInternational Journal of Pure and Applied Sciences and Technology
Int. J. Pure Appl. Sc. Technol., () (), pp. 44-49 Interntonl Journl of Pure nd Appled Scences nd Technolog ISSN 9-67 Avlle onlne t www.jopst.n Reserch Pper Numercl Soluton for Non-Lner Fredholm Integrl
More informationStatistics and Probability Letters
Sttstcs nd Probblty Letters 79 (2009) 105 111 Contents lsts vlble t ScenceDrect Sttstcs nd Probblty Letters journl homepge: www.elsever.com/locte/stpro Lmtng behvour of movng verge processes under ϕ-mxng
More informationReview of linear algebra. Nuno Vasconcelos UCSD
Revew of lner lgebr Nuno Vsconcelos UCSD Vector spces Defnton: vector spce s set H where ddton nd sclr multplcton re defned nd stsf: ) +( + ) (+ )+ 5) λ H 2) + + H 6) 3) H, + 7) λ(λ ) (λλ ) 4) H, - + 8)
More information523 P a g e. is measured through p. should be slower for lesser values of p and faster for greater values of p. If we set p*
R. Smpth Kumr, R. Kruthk, R. Rdhkrshnn / Interntonl Journl of Engneerng Reserch nd Applctons (IJERA) ISSN: 48-96 www.jer.com Vol., Issue 4, July-August 0, pp.5-58 Constructon Of Mxed Smplng Plns Indexed
More informationSequences of Intuitionistic Fuzzy Soft G-Modules
Interntonl Mthemtcl Forum, Vol 13, 2018, no 12, 537-546 HIKARI Ltd, wwwm-hkrcom https://doorg/1012988/mf201881058 Sequences of Intutonstc Fuzzy Soft G-Modules Velyev Kemle nd Huseynov Afq Bku Stte Unversty,
More informationNumbers Related to Bernoulli-Goss Numbers
ursh Journl of Anlyss n Nuber heory, 4, Vol., No., -8 Avlble onlne t htt://ubs.sceub.co/tnt///4 Scence n Eucton Publshng OI:.69/tnt---4 Nubers Relte to Bernoull-Goss Nubers Mohe Oul ouh Benough * érteent
More informationKatholieke Universiteit Leuven Department of Computer Science
Updte Rules for Weghted Non-negtve FH*G Fctorzton Peter Peers Phlp Dutré Report CW 440, Aprl 006 Ktholeke Unverstet Leuven Deprtment of Computer Scence Celestjnenln 00A B-3001 Heverlee (Belgum) Updte Rules
More informationUNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II
Mcroeconomc Theory I UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS MSc n Economcs MICROECONOMIC THEORY I Techng: A Lptns (Note: The number of ndctes exercse s dffculty level) ()True or flse? If V( y )
More informationJens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers
Jens Sebel (Unversty of Appled Scences Kserslutern) An Interctve Introducton to Complex Numbers 1. Introducton We know tht some polynoml equtons do not hve ny solutons on R/. Exmple 1.1: Solve x + 1= for
More informationImproved Approximation Methods to the Stopped Sum Distribution
Internatonal Journal of Mathematcal Analyss and Applcatons 2017; 4(6): 42-46 http://www.aasct.org/journal/jmaa ISSN: 2375-3927 Improved Approxmaton Methods to the Stopped Sum Dstrbuton Aman Al Rashd *,
More informationNOTE AN INEQUALITY FOR KRUSKAL-MACAULAY FUNCTIONS
NOTE AN INEQUALITY FOR KRUSKAL-MACAULAY FUNCTIONS BERNARDO M. ÁBREGO, SILVIA FERNÁNDEZ-MERCHANT, AND BERNARDO LLANO Abstrct. Gven ntegers nd n, there s unque wy of wrtng n s n = n n... n so tht n <
More informationLeast squares. Václav Hlaváč. Czech Technical University in Prague
Lest squres Václv Hlváč Czech echncl Unversty n Prgue hlvc@fel.cvut.cz http://cmp.felk.cvut.cz/~hlvc Courtesy: Fred Pghn nd J.P. Lews, SIGGRAPH 2007 Course; Outlne 2 Lner regresson Geometry of lest-squres
More informationExpected Value and Variance
MATH 38 Expected Value and Varance Dr. Neal, WKU We now shall dscuss how to fnd the average and standard devaton of a random varable X. Expected Value Defnton. The expected value (or average value, or
More informationContinuous Time Markov Chain
Contnuous Tme Markov Chan Hu Jn Department of Electroncs and Communcaton Engneerng Hanyang Unversty ERICA Campus Contents Contnuous tme Markov Chan (CTMC) Propertes of sojourn tme Relatons Transton probablty
More informationFINITE NEUTROSOPHIC COMPLEX NUMBERS. W. B. Vasantha Kandasamy Florentin Smarandache
INITE NEUTROSOPHIC COMPLEX NUMBERS W. B. Vsnth Kndsmy lorentn Smrndche ZIP PUBLISHING Oho 11 Ths book cn be ordered from: Zp Publshng 1313 Chespeke Ave. Columbus, Oho 31, USA Toll ree: (61) 85-71 E-ml:
More informationRandić 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 informationRank One Update And the Google Matrix by Al Bernstein Signal Science, LLC
Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses
More informationChapter 2 Introduction to Algebra. Dr. Chih-Peng Li ( 李 )
Chpter Introducton to Algebr Dr. Chh-Peng L 李 Outlne Groups Felds Bnry Feld Arthetc Constructon of Glos Feld Bsc Propertes of Glos Feld Coputtons Usng Glos Feld Arthetc Vector Spces Groups 3 Let G be set
More informationOn the average number of divisors of the sum of digits of squares
Notes on Number heory and Dscrete Mathematcs Prnt ISSN 30 532, Onlne ISSN 2367 8275 Vol. 24, 208, No. 2, 40 46 DOI: 0.7546/nntdm.208.24.2.40-46 On the average number of dvsors of the sum of dgts of squares
More informationThe Schur-Cohn Algorithm
Modelng, Estmton nd Otml Flterng n Sgnl Processng Mohmed Njm Coyrght 8, ISTE Ltd. Aendx F The Schur-Cohn Algorthm In ths endx, our m s to resent the Schur-Cohn lgorthm [] whch s often used s crteron for
More informationVARIATION OF CONSTANT SUM CONSTRAINT FOR INTEGER MODEL WITH NON UNIFORM VARIABLES
VARIATION OF CONSTANT SUM CONSTRAINT FOR INTEGER MODEL WITH NON UNIFORM VARIABLES BÂRZĂ, Slvu Faculty of Mathematcs-Informatcs Spru Haret Unversty barza_slvu@yahoo.com Abstract Ths paper wants to contnue
More informationInner Product. Euclidean Space. Orthonormal Basis. Orthogonal
Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,
More informationExistence of Two Conjugate Classes of A 5 within S 6. by Use of Character Table of S 6
Internatonal Mathematcal Forum, Vol. 8, 2013, no. 32, 1591-159 HIKARI Ltd, www.m-hkar.com http://dx.do.org/10.12988/mf.2013.3359 Exstence of Two Conjugate Classes of A 5 wthn S by Use of Character Table
More informationLAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION IN A TWO-LAYERED SLAB
Journl of Appled Mthemtcs nd Computtonl Mechncs 5, 4(4), 5-3 www.mcm.pcz.pl p-issn 99-9965 DOI:.75/jmcm.5.4. e-issn 353-588 LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION
More informationSL n (F ) Equals its Own Derived Group
Internatonal Journal of Algebra, Vol. 2, 2008, no. 12, 585-594 SL n (F ) Equals ts Own Derved Group Jorge Macel BMCC-The Cty Unversty of New York, CUNY 199 Chambers street, New York, NY 10007, USA macel@cms.nyu.edu
More informationRemember: Project Proposals are due April 11.
Bonformtcs ecture Notes Announcements Remember: Project Proposls re due Aprl. Clss 22 Aprl 4, 2002 A. Hdden Mrov Models. Defntons Emple - Consder the emple we tled bout n clss lst tme wth the cons. However,
More informationChapter Newton-Raphson Method of Solving a Nonlinear Equation
Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson
More informationThe 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 informationOn 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 informationESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus
ESI 34 tmospherc Dnmcs I Lesson 1 Vectors nd Vector lculus Reference: Schum s Outlne Seres: Mthemtcl Hndbook of Formuls nd Tbles Suggested Redng: Mrtn Secton 1 OORDINTE SYSTEMS n orthonorml coordnte sstem
More informationA combinatorial proof of multiple angle formulas involving Fibonacci and Lucas numbers
Notes on Number Theory and Dscrete Mathematcs ISSN 1310 5132 Vol. 20, 2014, No. 5, 35 39 A combnatoral proof of multple angle formulas nvolvng Fbonacc and Lucas numbers Fernando Córes 1 and Dego Marques
More informationLecture 4: Piecewise Cubic Interpolation
Lecture notes on Vrtonl nd Approxmte Methods n Appled Mthemtcs - A Perce UBC Lecture 4: Pecewse Cubc Interpolton Compled 6 August 7 In ths lecture we consder pecewse cubc nterpolton n whch cubc polynoml
More informationH-matrix theory and applications
MtTrd 205, Combr H-mtrx theory nd pplctons Mj Nedovć Unversty of Nov d, erb jont work wth Ljljn Cvetkovć Contents! H-mtrces nd DD-property Benefts from H-subclsses! Brekng the DD Addtve nd multplctve condtons
More informationA FORMULA FOR COMPUTING INTEGER POWERS FOR ONE TYPE OF TRIDIAGONAL MATRIX
Hacettepe Journal of Mathematcs and Statstcs Volume 393 0 35 33 FORMUL FOR COMPUTING INTEGER POWERS FOR ONE TYPE OF TRIDIGONL MTRIX H Kıyak I Gürses F Yılmaz and D Bozkurt Receved :08 :009 : ccepted 5
More informationA General Dynamic Inequality of Opial Type
Appl Mth Inf Sci No 3-5 (26) Applied Mthemtics & Informtion Sciences An Interntionl Journl http://dxdoiorg/2785/mis/bos7-mis A Generl Dynmic Inequlity of Opil Type Rvi Agrwl Mrtin Bohner 2 Donl O Regn
More informationA 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 informationVol. 5, No. 5 May 2014 ISSN Journal of Emerging Trends in Computing and Information Sciences CIS Journal. All rights reserved.
Vol. 5, No. 5 y 04 ISSN 079-8407 Jornl of Emergng Trends n Comptng nd Informton Scences 009-04 CIS Jornl. ll rghts reserved. http://www.csornl.org Notes on lt Soft trces D.Sngh, Onyeozl, I.., 3 lkl..j.,
More informationThe Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction
ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also
More informationFoundations 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 informationSystem 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 informationContinuous Time Markov Chains
Contnuous Tme Markov Chans Brth and Death Processes,Transton Probablty Functon, Kolmogorov Equatons, Lmtng Probabltes, Unformzaton Chapter 6 1 Markovan Processes State Space Parameter Space (Tme) Dscrete
More informationBinomial transforms of the modified k-fibonacci-like sequence
Internatonal Journal of Mathematcs and Computer Scence, 14(2019, no. 1, 47 59 M CS Bnomal transforms of the modfed k-fbonacc-lke sequence Youngwoo Kwon Department of mathematcs Korea Unversty Seoul, Republc
More informationBernoulli 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 informationQuantum Codes from Generalized Reed-Solomon Codes and Matrix-Product Codes
1 Quntum Codes from Generlzed Reed-Solomon Codes nd Mtrx-Product Codes To Zhng nd Gennn Ge Abstrct rxv:1508.00978v1 [cs.it] 5 Aug 015 One of the centrl tsks n quntum error-correcton s to construct quntum
More information4. Eccentric axial loading, cross-section core
. Eccentrc xl lodng, cross-secton core Introducton We re strtng to consder more generl cse when the xl force nd bxl bendng ct smultneousl n the cross-secton of the br. B vrtue of Snt-Vennt s prncple we
More informationGoogle PageRank with Stochastic Matrix
Google PageRank wth Stochastc Matrx Md. Sharq, Puranjt Sanyal, Samk Mtra (M.Sc. Applcatons of Mathematcs) Dscrete Tme Markov Chan Let S be a countable set (usually S s a subset of Z or Z d or R or R d
More informationA New Method for Solving Fuzzy Volterra Integro-Differential Equations
Astrln Jornl of Bsc n Apple Scences, 5(4: 54-64, 2 ISS 99-878 A ew Metho for Solvng Fzzy Volterr Integro-Dfferentl Eqtons T. Allhvrnloo, 2 A. Amrtemoor, M. Khezerloo, S. Khezerloo Deprtment of Mthemtcs,
More informationSUM PROPERTIES FOR THE K-LUCAS NUMBERS WITH ARITHMETIC INDEXES
Avlble ole t http://sc.org J. Mth. Comput. Sc. 4 (04) No. 05-7 ISSN: 97-507 SUM PROPERTIES OR THE K-UCAS NUMBERS WITH ARITHMETIC INDEXES BIJENDRA SINGH POOJA BHADOURIA AND OMPRAKASH SIKHWA * School of
More informationStochastic integral representations of quantum martingales on multiple Fock space
Proc. Indn Acd. Sc. (Mth. Sc.) Vol. 116, No. 4, November 26, pp. 489 55. Prnted n Ind Stochstc ntegrl representtons of quntum mrtngles on multple Fock spce UN CIG JI Deprtment of Mthemtcs, Reserch Insttute
More informationLecture 36. Finite Element Methods
CE 60: Numercl Methods Lecture 36 Fnte Element Methods Course Coordntor: Dr. Suresh A. Krth, Assocte Professor, Deprtment of Cvl Engneerng, IIT Guwht. In the lst clss, we dscussed on the ppromte methods
More informationComparison 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 informationCHAPTER-5 INFORMATION MEASURE OF FUZZY MATRIX AND FUZZY BINARY RELATION
CAPTER- INFORMATION MEASURE OF FUZZY MATRI AN FUZZY BINARY RELATION Introducton The basc concept of the fuzz matr theor s ver smple and can be appled to socal and natural stuatons A branch of fuzz matr
More informationarxiv: v1 [math.co] 12 Sep 2014
arxv:1409.3707v1 [math.co] 12 Sep 2014 On the bnomal sums of Horadam sequence Nazmye Ylmaz and Necat Taskara Department of Mathematcs, Scence Faculty, Selcuk Unversty, 42075, Campus, Konya, Turkey March
More informationOn the spectral norm of r-circulant matrices with the Pell and Pell-Lucas numbers
Türkmen and Gökbaş Journal of Inequaltes and Applcatons (06) 06:65 DOI 086/s3660-06-0997-0 R E S E A R C H Open Access On the spectral norm of r-crculant matrces wth the Pell and Pell-Lucas numbers Ramazan
More informationψ ij has the eigenvalue
Moller Plesset Perturbton Theory In Moller-Plesset (MP) perturbton theory one tes the unperturbed Hmltonn for n tom or molecule s the sum of the one prtcle Foc opertors H F() where the egenfunctons of
More informationCOMPLEX NUMBER & QUADRATIC EQUATION
MCQ COMPLEX NUMBER & QUADRATIC EQUATION Syllus : Comple numers s ordered prs of rels, Representton of comple numers n the form + nd ther representton n plne, Argnd dgrm, lger of comple numers, modulus
More informationSELECTED PROOFS. DeMorgan s formulas: The first one is clear from Venn diagram, or the following truth table:
SELECTED PROOFS DeMorgan s formulas: The frst one s clear from Venn dagram, or the followng truth table: A B A B A B Ā B Ā B T T T F F F F T F T F F T F F T T F T F F F F F T T T T The second one can be
More informationRestricted divisor sums
ACTA ARITHMETICA 02 2002) Restrcted dvsor sums by Kevn A Broughan Hamlton) Introducton There s a body of work n the lterature on varous restrcted sums of the number of dvsors of an nteger functon ncludng
More informationStudy of Trapezoidal Fuzzy Linear System of Equations S. M. Bargir 1, *, M. S. Bapat 2, J. D. Yadav 3 1
mercn Interntonl Journl of Reserch n cence Technology Engneerng & Mthemtcs vlble onlne t http://wwwsrnet IN (Prnt: 38-349 IN (Onlne: 38-3580 IN (CD-ROM: 38-369 IJRTEM s refereed ndexed peer-revewed multdscplnry
More informationMATH 829: Introduction to Data Mining and Analysis The EM algorithm (part 2)
1/16 MATH 829: Introducton to Data Mnng and Analyss The EM algorthm (part 2) Domnque Gullot Departments of Mathematcal Scences Unversty of Delaware Aprl 20, 2016 Recall 2/16 We are gven ndependent observatons
More informationExercises of Chapter 2
Exercses of Chapter Chuang-Cheh Ln Department of Computer Scence and Informaton Engneerng, Natonal Chung Cheng Unversty, Mng-Hsung, Chay 61, Tawan. Exercse.6. Suppose that we ndependently roll two standard
More informationThe 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 information6. Stochastic processes (2)
Contents Markov processes Brth-death processes Lect6.ppt S-38.45 - Introducton to Teletraffc Theory Sprng 5 Markov process Consder a contnuous-tme and dscrete-state stochastc process X(t) wth state space
More informationPLEASE SCROLL DOWN FOR ARTICLE
Ths rtcle ws downloded by:ntonl Cheng Kung Unversty] On: 1 September 7 Access Detls: subscrpton number 7765748] Publsher: Tylor & Frncs Inform Ltd Regstered n Englnd nd Wles Regstered Number: 17954 Regstered
More informationNP-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 information6. Stochastic processes (2)
6. Stochastc processes () Lect6.ppt S-38.45 - Introducton to Teletraffc Theory Sprng 5 6. Stochastc processes () Contents Markov processes Brth-death processes 6. Stochastc processes () Markov process
More informationOnline Appendix to. Mandating Behavioral Conformity in Social Groups with Conformist Members
Onlne Appendx to Mndtng Behvorl Conformty n Socl Groups wth Conformst Members Peter Grzl Andrze Bnk (Correspondng uthor) Deprtment of Economcs, The Wllms School, Wshngton nd Lee Unversty, Lexngton, 4450
More informationSelf-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 informationThe 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 informationMachine Learning Support Vector Machines SVM
Mchne Lernng Support Vector Mchnes SVM Lesson 6 Dt Clssfcton problem rnng set:, D,,, : nput dt smple {,, K}: clss or lbel of nput rget: Construct functon f : X Y f, D Predcton of clss for n unknon nput
More informationLecture 3: Probability Distributions
Lecture 3: Probablty Dstrbutons Random Varables Let us begn by defnng a sample space as a set of outcomes from an experment. We denote ths by S. A random varable s a functon whch maps outcomes nto the
More informationValuated Binary Tree: A New Approach in Study of Integers
Internatonal Journal of Scentfc Innovatve Mathematcal Research (IJSIMR) Volume 4, Issue 3, March 6, PP 63-67 ISS 347-37X (Prnt) & ISS 347-34 (Onlne) wwwarcournalsorg Valuated Bnary Tree: A ew Approach
More informationCS-433: Simulation and Modeling Modeling and Probability Review
CS-433: Smulaton and Modelng Modelng and Probablty Revew Exercse 1. (Probablty of Smple Events) Exercse 1.1 The owner of a camera shop receves a shpment of fve cameras from a camera manufacturer. Unknown
More informationLecture notes. Fundamental inequalities: techniques and applications
Lecture notes Fundmentl nequltes: technques nd pplctons Mnh Hong Duong Mthemtcs Insttute, Unversty of Wrwck Eml: m.h.duong@wrwck.c.uk Jnury 4, 07 Abstrct Inequltes re ubqutous n Mthemtcs (nd n rel lfe.
More informationVolume 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 informationResearch Article On Existence and Uniqueness of Solutions of a Nonlinear Integral Equation
Journl of Applied Mthemtics Volume 2011, Article ID 743923, 7 pges doi:10.1155/2011/743923 Reserch Article On Existence nd Uniqueness of Solutions of Nonliner Integrl Eqution M. Eshghi Gordji, 1 H. Bghni,
More informationJean Fernand Nguema LAMETA UFR Sciences Economiques Montpellier. Abstract
Stochstc domnnce on optml portfolo wth one rsk less nd two rsky ssets Jen Fernnd Nguem LAMETA UFR Scences Economques Montpeller Abstrct The pper provdes restrctons on the nvestor's utlty functon whch re
More informationBeyond Zudilin s Conjectured q-analog of Schmidt s problem
Beyond Zudln s Conectured q-analog of Schmdt s problem Thotsaporn Ae Thanatpanonda thotsaporn@gmalcom Mathematcs Subect Classfcaton: 11B65 33B99 Abstract Usng the methodology of (rgorous expermental mathematcs
More information6.6 The Marquardt Algorithm
6.6 The Mqudt Algothm lmttons of the gdent nd Tylo expnson methods ecstng the Tylo expnson n tems of ch-sque devtves ecstng the gdent sech nto n tetve mtx fomlsm Mqudt's lgothm utomtclly combnes the gdent
More informationNeutrosophic Bi-LA-Semigroup and Neutrosophic N-LA- Semigroup
Neutrosophc Sets Systems, Vol. 4, 04 9 Neutrosophc B-LA-Semgroup Neutrosophc N-LA- Semgroup Mumtaz Al *, Florentn Smarache, Muhammad Shabr 3 Munazza Naz 4,3 Department of Mathematcs, Quad--Azam Unversty,
More informationANSWERS. 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 informationMeenu Gupta, Man Singh & Deepak Gupta
IJS, Vol., o. 3-4, (July-December 0, pp. 489-497 Serals Publcatons ISS: 097-754X THE STEADY-STATE SOLUTIOS OF ULTIPLE PARALLEL CHAELS I SERIES AD O-SERIAL ULTIPLE PARALLEL CHAELS BOTH WITH BALKIG & REEGIG
More informationOn the Multicriteria Integer Network Flow Problem
BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 5, No 2 Sofa 2005 On the Multcrtera Integer Network Flow Problem Vassl Vasslev, Marana Nkolova, Maryana Vassleva Insttute of
More informationResearch Article Relative Smooth Topological Spaces
Advances n Fuzzy Systems Volume 2009, Artcle ID 172917, 5 pages do:10.1155/2009/172917 Research Artcle Relatve Smooth Topologcal Spaces B. Ghazanfar Department of Mathematcs, Faculty of Scence, Lorestan
More informationLOW BIAS INTEGRATED PATH ESTIMATORS. James M. Calvin
Proceedngs of the 007 Wnter Smulaton Conference S G Henderson, B Bller, M-H Hseh, J Shortle, J D Tew, and R R Barton, eds LOW BIAS INTEGRATED PATH ESTIMATORS James M Calvn Department of Computer Scence
More informationChapter Newton-Raphson Method of Solving a Nonlinear Equation
Chpter 0.04 Newton-Rphson Method o Solvng Nonlner Equton Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson
More informationRealistic Method for Solving Fully Intuitionistic Fuzzy. Transportation Problems
Applied Mthemticl Sciences, Vol 8, 201, no 11, 6-69 HKAR Ltd, wwwm-hikricom http://dxdoiorg/10988/ms20176 Relistic Method for Solving Fully ntuitionistic Fuzzy Trnsporttion Problems P Pndin Deprtment of
More information