Contracting Quadratic Operators of Bisexual population
|
|
- Gyles Watts
- 6 years ago
- Views:
Transcription
1 App Math If Sc 9 No ( Apped Mathematcs & Iformato Sceces A Iteratoa Joura Cotractg Quadratc Operators of Bsexua popuato Nasr N Gahodjaev 1 ad Uygu U Jamov 12 1 Departmet of Computatoa ad Theoretca Sceces Facuty of SceceIIUM Kuata Maaysa 2 Isttute of Mathematcs Natoa Uversty of Uzbesta Tashet Uzbesta Receved: 15 Feb 2015 Revsed: 17 May 2015 Accepted: 18 May 2015 Pubshed oe: 1 Sep 2015 Abstract: I ths paper we fd a suffcet codto uder whch the operator of bsexua popuato s cotracto ad show that ths codto s ot ecessary Keywords: Quadratc stochastc operator fxed pottrajectory cotractg operators 1 Itroducto The acto of gees s mafested statstcay suffcety arge commutes of matchg dvduas (beogg to the same speces These commutes are caed popuatos [2] The popuato exsts ot oy space but aso tme e t has ts ow fe cyce The bass for ths pheomeo s reproducto by matg Matg a popuato ca be free or subject to certa restrctos The whoe popuato space ad tme comprses dscrete geeratos F 0 F 1 The geerato F 1 s the set of dvduas whose parets beog to the F geerato A state of a popuato s a dstrbuto of probabtes of the dfferet types of orgasms every geerato Type partto s caed dfferetato The smpest exampe s sex dfferetato I bsexua popuato ay d of dfferetato must agree wth the sex dfferetato e a the orgasms of oe type must beog to the same sex Thus t s possbe to spea of mae ad femae types The evouto (or dyamcs of a popuato comprses a determed chage of state the ext geeratos as a resut of reproductos ad seecto Ths evouto of a popuato ca be studed by a dyamca system (teratos of a quadratc stochastc operator The hstory of the quadratc stochastc operators ca be traced bac to the wor of S Bershte [1] For more tha 80 years ths theory has bee deveoped ad may papers were pubshed (see [1]-[7][10]-[17] Severa probems of physca ad boogca systems ead to ecessty of study the asymptotc behavor of the trajectores of quadratc stochastc operators Let E = {12m} By the (m 1 smpex we mea the set S m 1 ={x=(x 1 x m R m : x 0 m x = 1} Each eemet x S m 1 s a probabty measure o E ad so t may be ooed upo as the state of a boogca (physca ad so o system of m eemets A quadratc stochastc operator V : S m 1 S m 1 has the form V : x m = p j x x j (m (1 where p j coeffcet of heredty ad p j = p j 0 m p j = 1 ( j = 1m For a gve x (0 S m 1 the trajectory {x ( } =012 of x (0 uder the acto of QSO (1 s defed by x (1 = V(x ( where =012 Oe of the ma probems mathematca boogy s to study the asymptotc behavor of the trajectores There are may papers devoted to study of the evouto of the free popuato e to study of dyamca system geerated by quadratc stochastc operator (1 see eg Correspodg author e-ma: jamovu@yadexru Natura Sceces Pubshg Cor
2 2646 N N Gahodjaev U U Jamov: Cotractg Quadratc Operators of [3]-[16] I [15] a survey of theory quadratc stochastc operators s gve I ths paper we fd a codto uder whch the evoutoary operators of bsexua popuato s cotracto 2 Deftos I ths secto foowg [2] we descrbe the evouto operator of a bsexua popuato Assumg that the popuato s bsexua we suppose that the set of femaes ca be parttoed to ftey may dfferet types dexed by{1 2 } ad smary that the mae types are dexed by {12} The umber s caed the dmeso of the popuato The popuato s descrbed by ts state vector (xy S 1 S 1 the product of two ut smpexes R ad R respectvey Vectors x ad y are the probabty dstrbutos of the femaes ad maes over the possbe types: x 0 x = 1; y j 0 y j = 1 Deote S = S 1 S 1 We ca the partto to types heredtary f for each possbe state z = (xy S descrbg the curret geerato the state z = (x y S s uquey defed descrbg the ext geerato Ths meas that the assocato z z defed a map V : S S caed the evouto operator For ay pot z (0 S the sequece z (t = V(z (t 1 t = 12 s caed the trajectory of z (0 Let p ( j ad m j be hertace coeffcets defed as the probabty that a femae offsprg s type ad respectvey that a mae offsprg s type whe the pareta par s j( = 12; ad j = 12 We have p ( j 0 p ( j = 1 m j 0 j = 1 Let z = (x y be the state of the offsprg popuato at the brth stage Ths s obtaed from hertace coeffcets as x = p ( j x y j (1 y = j x y j (1 We see from (2 that for a bsexua popuato the evouto operator s a quadratc mappg of S to tsef But for free popuato the operator s quadratc mappg of the smpex to tsef gve by (1 I [89] a agebra of the bsexua popuato s defed as the foowg: Cosder {e 1 e } the caoca bass o R ad (2 dvde the bass as e ( = e ad e (m = e = 1 Itroduce or a mutpcato defed by e ( e (m j = e (m j e ( = 2( 1 e ( e ( = 0 ; p ( j e( j e(m ; e (m j e (m = 0 j = 1; (3 Thus the coeffcets of bsexua hertace s the structure costats of a agebra e a bear mappg of R R to R The geera formua for the mutpcato s the exteso of (3 by bearty e for zt R z=(xy= t=(uv= usg (3 we obta ( zt= 1 2 ( 1 2 p ( x e ( u e ( y j e (m j v j e (m j j (x v j u y j j (x v j u y j e ( e (m From (4 ad usg (2 the partcuar case that z=t e x=u ad y=v we obta zz=z 2 = ( ( p ( j x y j e ( j x y j e (m = W(z for ay z S Ths agebrac terpretato s very usefu For exampe a bsexua popuato state z = (xy s a equbrum (fxed pot precsey whe z s a dempotet eemet of the set S e z=z 2 The agebra B = B W geerated by the evouto operator W (see (2 s caed the evouto agebra of the bsexua popuato I [8] t was show that f z s a fxed pot the z R 0 R 1 where R η ={z=(xy : x = y j = η} η = 01 For smpex S=S 1 S 1 by taget space we get R 0 ={z=(xy : x = y j = 0} (4 Natura Sceces Pubshg Cor
3 App Math If Sc 9 No (2015 / wwwaturaspubshgcom/jourasasp Cotractg operators I operator theory a bouded operator X Y betwee ormed vector spaces X ad Y s sad to be a cotracto f ts operator orm W 1 A extrema exampe of a quadratc cotracto s the costat operator I ths case the coeffcets p ( j m j do ot deped o ad j Ths suggests that for a suffcety sma scatterg of coeffcet for every fxed the quadratc operator w be a cotracto Ths remar ca be expressed as a precse theorem The Lpschtz costat of a operator R R s L(W=sup z t W(z W(t z t where s some orm R If ths orm ca be chose so that L(W < 1 the W w be a strct cotracto ths orm wth the cosequeces: uque fxed pot covergece of a trajectores to ths pot expoeta rate of covergece Uess otherwse specfed we w use the 1 orm the bass e ( = e = 1 ad e (m = e = 1 defed as z = x y j for z=(xy= x e ( y j e (m j Lemma 31[2] Let be a covex dmesoa compact R F : be a smooth map The (for ay orm L(F max z d zf Lemma 32[2] Let a matrx A=(a j satsfes The a 1 = A R 0 = 1 2 max a 2 == j 1 j 2 a a j1 a j2 where A R 0 s restrcto operator A or 0 For each z B we have ear operator M z : B B defed by M z (t=zt Theorema 33 The foowg equaty hods for the Lpschtz s costat L(W 1 2 j( ( 1 j 2 j 1 j m 2 j j 1 j 2 ( ( j 1 j 2 j 1 m j 2 Proof For the operator W S the dervatve s d z W = 1 2 p ( 1 j1 y j p ( 1 j y j 1 j1 y j p ( j1 y j 1 j y j d z W = 2M z = 2 where M ( = M e ( p ( j y j j1 y j j y j p ( 11 x x M ( 2 ad p ( 1 x 11 x p ( 1 x M (m 1 x p ( x 1 x y M (m = M e (m x are mutpcato maps wth matrxes (p ( j respectvey( j j By Lemma 31 we have L(W=2max M z 2max z S By Lemma 32 M ( 2max the ad M (m M ( = j( ( 1 j 2 j 1 j m 2 j M (m = 1 2 j 1 j 2( ( j 1 j 2 j 1 m j 2 Coroary 34 A evoutoary operator (2 s a strct cotracto f 1 2 j( ( 1 j 2 j 1 j m 2 j j 1 j 2 ( ( j 1 j 2 j 1 m j 2 <1 (5 For evoutoary operators wth postve coeffcets there s a mutpcatve estmate of the dstace from the evoutoary operator to the costat oe Let µ f µ f p ( (W= max 1 2 j 1 j p ( 2 j ad et ζ(w equa to LHS of (5 Lemma 35 µ m µ m (W= max j 1 j 2 ζ(w 4 µ f 1 µ f 1 4 µm 1 µ m 1 j 1 j 2 Natura Sceces Pubshg Cor
4 2648 N N Gahodjaev U U Jamov: Cotractg Quadratc Operators of Proof If αβ > 0 ad µ = max( α β β α the obvousy Hece p ( 1 j ad respectvey α β = µ 1 (α β µ 1 2 j µ f 1 µ f 1 ( 1 j 2 j 1 j m 2 j µm 1 µ m 1 (m 1 j m 2 j p ( j 1 j 2 µ f 1 µ f 1 ( j 1 j 2 j 1 m j 2 µm 1 µ m 1 (m j 1 m j 2 It remas to sum these equates over ad respectvey over eepg md that p ( 1 j = p ( 2 j = j 1 = j 2 = 1 Coroary 36 L(W 4 µ f 1 µ f 1 4 µm 1 µ m 1 Coroary 37 If 7µ f µ m (µ f µ m < 9 the the evoutoary operator (2 s a strct cotracto Coroary 38 Let µ = max(µ f µ m The L(W 8 µ 1 µ 1 ad f µ < 7 9 the the evoutoary operator (2 s a strct cotracto Remar 39 For free ad bsexua popuatos the codtos of cotractty are essetay dfferet Let us gve severa exampes ad chec the codto of Coroary 34 Exampe 310 Cosder the operator x 1 = 3 7 x 1y x 1y x 2y x 2y 2 x 2 = 4 7 x 1y x 1y x 2y x 2y 2 y 1 = 4 7 x 1y x 1y x 2y x 2y 2 y 2 = 3 7 x 1y x 1y x 2y x 2y 2 (6 The coeffcets of the operator (6 are the foowg p ( 111 = 3 7 p ( 112 = = = = = = = = 4 7 m 121 = 1 2 m 211 = 1 2 m 221 = = 3 7 m 122 = 1 2 m 212 = 1 2 m 222 = 4 7 It s easy to chec that codto (5 fufed for (6 Ideed 1 2 j( ( 1 j 2 j 1 j m 2 j j 1 j 2 ( ( j 1 j 2 j 1 m j 2 = 4 7 Cosequety ths operator s a strct cotracto ad t has uque fxed pot ( Moreover ay trajectory of (6 coverges to the fxed pot The foowg exampe shows that the codto of Coroary 34 s ot fufed ad evoutoary operator has perodc trajectory Exampe 311 Cosder the operator x 1 = x 1y 1 x 2 = x 1y 2 x 2 y 1 = x (7 2y 2 y 2 = x 1 x 2 y 1 It easy to chec that operator (7 does ot satsfy the codto of Coroary 34 We rewrte the operator (7 the form x 1 = x 1y 1 y 1 =(1 x (8 1(1 y 1 Deote x = x ( 1 y = y ( 1 the from (8 we have x 1 = x y y 1 =(1 x (1 y Sce 0 x y x from the frst equato of (9 t foows that m x = x = 0 Ideed for z 0 t(s 1 S 1 ={z S 1 S 1 : x > 0y > 02} we get from (9 x 2 x 1 =(1 x ( 1 x 1 x (9 Natura Sceces Pubshg Cor
5 App Math If Sc 9 No (2015 / wwwaturaspubshgcom/jourasasp 2649 x 2 x = x 1 (1 x (x x 1 m x 2x = m x 1 (1 x (x x 1 (x 2 = 0 x = 0 Now cosder the operator x = xy x 2 y xy 2 x 2 y 2 W 2 : y = xy xy x 2 y xy 2 x 2 y 2 Ceary the operator W 2 has fxed pots (0y 0 y 1 The pot(0y s a sadde pot It s easy to chec that the set {(xy S 1 S 1 : x 1 = 0} s a varat subset for (7 Ay pot of the varat subset s perodc pot wth perod two for operator (7 So trajectory of the operator wth a ta pot from varat subset does ot coverge Thus operator (7 has a trajectory whch does o-coverge to the fxed pot( The foowg exampe shows that codto of Coroary 34 s suffcet but s ot ecessary Exampe 312 Cosder the operator wth coeffcets of hertace p ( 111 = = = 1 2 p ( 112 = = = = = = 0 m 121 = 1 2 m 211 = 0 m 221 = = 1 m 122 = 1 2 m 212 = 1 m 222 = 1 2 e the evouto operator has the form x 1 = 2 1x 2 x 2 = x 1 2 1x 2 y 1 = 1 2 y 2 y 2 = y 1 2 1y 2 (10 It easy to chec that operator (10 does ot satsfy the codto of Coroary j( ( 1 j 2 j 1 j m 2 j j 1 j 2 ( ( j 1 j 2 j 1 m j 2 =2>1 But ay trajectory of (10 coverges to ( Ideed from (10 we have x (1 1 = 1 2 (1 x( 1 We cosder foowg oe dmesoa dyamca system f(x= 1 2 (1 x It has uque fxed pot x = 1 3 ad decreasg o [01] Easy to chec that f (x= 1 2 ad f ( 3 1 = 2 1 < 1 therefore the fxed pot x= 1 3 s attractg We cam that ay trajectory of f(x coverges to the fxed pot x= 3 1 Ideed we have ad f (x= ( 1 m f 2 (x= m ( 1 2 ( 1 x x 2 2 = 1 3 ( 1 m f (x= m x 2 21 = 1 3 So for ay ta pot trajectory of (10 coverges to ( Acowedgemet The fa part of ths wor was doe at the Iteratoa Isamc Uversty of Maaysa (IIUM ad the secod author woud e to tha the IIUM for provdg faca support ad a factes The secod author aso thas Dr Masoor Saburov for usefu dscussos Refereces [1] SN Berste Uch Zaps NI Kaf Ur Otd Mat (1924 [2] YuI Lyubch Mathematca structures popuato geetcs Bomathematcs 22 Sprger-Verag Ber 1992 [3] RN Gahodzhaev Sbor: Mathematcs (1993 [4] RN Gahodzhaev Mathematca Notes (1994 [5] RN Gahodzhaev DB Eshmamatova Vadavaz Mat Zh (2006 [6] NN Gahodzhaev Doady Mathematcs (2001 [7] UA Rozov NB Shamsddov Stochastc Aayss ad Appcatos (2009 [8] M Ladra UA Rozov Joura of Agebra (2013 [9] M Ladra BA Omrov UA Rozov Lobachevs Joura of Mathematcs (2014 [10] UA Rozov UU Zhamov Mathematca Notes (2008 [11] UU Zhamov UA Rozov Sbor: Mathematcs (2009 Natura Sceces Pubshg Cor
6 2650 N N Gahodjaev U U Jamov: Cotractg Quadratc Operators of [12] UA Rozov UU Zhamov Uraa Mathematca Joura (2011 [13] UA Rozov A Zada Iteratoa Joura of Bomathematcs (2010 [14] Farruh Shahd O fte-dmesoa dsspatve quadratc stochastc operators Advaces Dfferece Equatos 272 (2013 [15] RN Gahodzhaev FM Muhamedov UA Rozov Ifte Dmesoa Aayss Quatum Probabty ad Reated Topcs (2011 [16] UU Zhamov RT Muhddov Uzbe Math Zh (2010 [17] UU Zhamov Do Acad Nau RUz (2010 Nasr Gahodjaev s Professor at Iteratoa Isamc Uversty Maaysa He has graduated the Tashet State Uversty (1971 He got PhD (1975 degree from the Isttute of Mathematcs Tashet ad Rehabtato Degree Doctor of Sceces Physcs ad Mathematcs (1991 from the Isttute for Low Temperature Physcs ad Egeerg Academy of Sceces of Urae Kharov He s ow for hs pubcatos attce modes of statstca mechacs ad oear dyamca systems Uygu Jamov was bor 1976 Buhara Uzbesta He graduated from Tashet State Uversty 1998 He got PhD degree Physcs ad Mathematcs Natoa Uversty of Uzbesta 2012 Hs research terests cude dyamca systems ad ergodc theory fuctoa aayss He has mportat resuts o o-voterra quadratc stochastc operators He has about 25 papers pubshed the eadg jouras Presety he s a seor scetfc feow the Isttute of Mathematcs at Natoa Uversty of UzbestaTashet Uzbesta Natura Sceces Pubshg Cor
Abstract. 1. Introduction
Joura of Mathematca Sceces: Advaces ad Appcatos Voume 4 umber 2 2 Pages 33-34 COVERGECE OF HE PROJECO YPE SHKAWA ERAO PROCESS WH ERRORS FOR A FE FAMY OF OSEF -ASYMPOCAY QUAS-OEXPASVE MAPPGS HUA QU ad S-SHEG
More informationOptimal Constants in the Rosenthal Inequality for Random Variables with Zero Odd Moments.
Optma Costats the Rosetha Iequaty for Radom Varabes wth Zero Odd Momets. The Harvard commuty has made ths artce opey avaabe. Pease share how ths access beefts you. Your story matters Ctato Ibragmov, Rustam
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 informationA stopping criterion for Richardson s extrapolation scheme. under finite digit arithmetic.
A stoppg crtero for cardso s extrapoato sceme uder fte dgt artmetc MAKOO MUOFUSHI ad HIEKO NAGASAKA epartmet of Lbera Arts ad Sceces Poytecc Uversty 4-1-1 Hasmotoda,Sagamara,Kaagawa 229-1196 JAPAN Abstract:
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 informationQT codes. Some good (optimal or suboptimal) linear codes over F. are obtained from these types of one generator (1 u)-
Mathematca Computato March 03, Voume, Issue, PP-5 Oe Geerator ( u) -Quas-Twsted Codes over F uf Ja Gao #, Qog Kog Cher Isttute of Mathematcs, Naka Uversty, Ta, 30007, Cha Schoo of Scece, Shadog Uversty
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 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 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 informationFinsler Geometry & Cosmological constants
Avaabe oe at www.peaaresearchbrary.com Peaa esearch Lbrary Advaces Apped Scece esearch, 0, (6):44-48 Fser Geometry & Cosmooca costats. K. Mshra ad Aruesh Padey ISSN: 0976-860 CODEN (USA): AASFC Departmet
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 informationCoding Theorems on New Fuzzy Information Theory of Order α and Type β
Progress Noear yamcs ad Chaos Vo 6, No, 28, -9 ISSN: 232 9238 oe Pubshed o 8 February 28 wwwresearchmathscorg OI: http://ddoorg/22457/pdacv6a Progress Codg Theorems o New Fuzzy Iormato Theory o Order ad
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 informationINDEX BOUNDS FOR VALUE SETS OF POLYNOMIALS OVER FINITE FIELDS
INDEX BOUNDS FOR VALUE SETS OF POLYNOMIALS OVER FINITE FIELDS GARY L. MULLEN, DAQING WAN, AND QIANG WANG We dedcate ths paper to the occaso of Harad Nederreter s 70-th brthday. Hs work o permutato poyomas
More informationSolutions for HW4. x k n+1. k! n(n + 1) (n + k 1) =.
Exercse 13 (a Proe Soutos for HW4 (1 + x 1 + x 2 1 + (1 + x 2 + x 2 2 + (1 + x + x 2 + by ducto o M(Sν x S x ν(x Souto: Frst ote that sce the mutsets o {x 1 } are determed by ν(x 1 the set of mutsets o
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 informationPART ONE. Solutions to Exercises
PART ONE Soutos to Exercses Chapter Revew of Probabty Soutos to Exercses 1. (a) Probabty dstrbuto fucto for Outcome (umber of heads) 0 1 probabty 0.5 0.50 0.5 Cumuatve probabty dstrbuto fucto for Outcome
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 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 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 informationUniform asymptotical stability of almost periodic solution of a discrete multispecies Lotka-Volterra competition system
Iteratoal Joural of Egeerg ad Advaced Research Techology (IJEART) ISSN: 2454-9290, Volume-2, Issue-1, Jauary 2016 Uform asymptotcal stablty of almost perodc soluto of a dscrete multspeces Lotka-Volterra
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 informationRational Equiangular Polygons
Apped Mathematcs 03 4 460-465 http://dxdoorg/0436/am034097 Pubshed Oe October 03 (http://wwwscrporg/oura/am) Ratoa Equaguar Poygos Marus Muteau Laura Muteau Departmet of Mathematcs Computer Scece ad Statstcs
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 informationBounds for block sparse tensors
A Bouds for bock sparse tesors Oe of the ma bouds to cotro s the spectra orm of the sparse perturbato tesor S The success of the power teratos ad the mprovemet accuracy of recovery over teratve steps of
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 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 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 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 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 informationUNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS
UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Postpoed exam: ECON430 Statstcs Date of exam: Jauary 0, 0 Tme for exam: 09:00 a.m. :00 oo The problem set covers 5 pages Resources allowed: All wrtte ad prted
More informationArithmetic Mean and Geometric Mean
Acta Mathematca Ntresa Vol, No, p 43 48 ISSN 453-6083 Arthmetc Mea ad Geometrc Mea Mare Varga a * Peter Mchalča b a Departmet of Mathematcs, Faculty of Natural Sceces, Costate the Phlosopher Uversty Ntra,
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 informationLebesgue 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 informationixf (f(x) s(x))dg 0, i 1,2 n. (1.2) MID POINT CUBIC SPLINE INTERPOLATOR
Iterat. J. Math. & Math. Sc. Vol. 10 No..1 (1987)63-67 63 LOCAL BEHAVIOUR OF THE DERIVATIVE OF A MID POINT CUBIC SPLINE INTERPOLATOR H.P. DIKSHIT ad S.S. RANA Departmet of Mathematcs ad Computer Sceces
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 informationOn the Exchange Property for the Mehler-Fock Transform
Avaabe at http://pvamu.edu/aam App. App. Math. SS: 193-9466 Vo. 11, ssue (December 016), pp. 88-839 Appcatos ad Apped Mathematcs: A teratoa oura (AAM) O the Echage Property for the Meher-Foc Trasform Abhshe
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 informationInternet Electronic Journal of Molecular Design
COEN IEJMAT ISSN 538 644 Iteret Eectroc Joura of Moecuar esg ecember 007 Voume 6 Number Pages 375 384 Edtor: Ovdu Ivacuc Further Resuts o the Largest Egevaues of the stace Matrx ad Some stace Based Matrces
More informationCHAPTER VI Statistical Analysis of Experimental Data
Chapter VI Statstcal Aalyss of Expermetal Data CHAPTER VI Statstcal Aalyss of Expermetal Data Measuremets do ot lead to a uque value. Ths s a result of the multtude of errors (maly radom errors) that ca
More informationThe number of observed cases The number of parameters. ith case of the dichotomous dependent variable. the ith case of the jth parameter
LOGISTIC REGRESSION Notato Model Logstc regresso regresses a dchotomous depedet varable o a set of depedet varables. Several methods are mplemeted for selectg the depedet varables. The followg otato s
More informationCONTRIBUTION OF KRAFT S INEQUALITY TO CODING THEORY
Pacfc-Asa Joura of Mathematcs, Voume 5, No, Jauary-Jue 20 CONTRIBUTION OF KRAFT S INEQUALITY TO COING THEORY OM PARKASH & PRIYANKA ABSTRACT: Kraft s equaty whch s ecessary ad suffcet codto for the exstece
More informationSTRONG CONSISTENCY OF LEAST SQUARES ESTIMATE IN MULTIPLE REGRESSION WHEN THE ERROR VARIANCE IS INFINITE
Statstca Sca 9(1999), 289-296 STRONG CONSISTENCY OF LEAST SQUARES ESTIMATE IN MULTIPLE REGRESSION WHEN THE ERROR VARIANCE IS INFINITE J Mgzhog ad Che Xru GuZhou Natoal College ad Graduate School, Chese
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 informationA Clustering Algorithm in Group Decision Making
A Custerg Agorthm Group Decso Mag XU Xua-hua,CHEN Xao-hog, LUO Dg 3 (Schoo of Busess, Cetra South Uversty, Chagsha 40083, Hua, P.R.C,xuxh@pubc.cs.h.c) Abstract The homogeeous requremet of the AHP has stfed
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 informationDimensionality Reduction and Learning
CMSC 35900 (Sprg 009) Large Scale Learg Lecture: 3 Dmesoalty Reducto ad Learg Istructors: Sham Kakade ad Greg Shakharovch L Supervsed Methods ad Dmesoalty Reducto The theme of these two lectures s that
More informationLandé interval rule (assignment!) l examples
36 - Read CTD, pp. 56-78 AT TIME: O H = ar s ζ(,, ) s adé terva rue (assgmet!) ζ(,, ) ζ exampes ζ (oe ζfor each - term) (oe ζfor etre cofgurato) evauate matrx eemets ater determata bass ad may-e M or M
More informationMu Sequences/Series Solutions National Convention 2014
Mu Sequeces/Seres Solutos Natoal Coveto 04 C 6 E A 6C A 6 B B 7 A D 7 D C 7 A B 8 A B 8 A C 8 E 4 B 9 B 4 E 9 B 4 C 9 E C 0 A A 0 D B 0 C C Usg basc propertes of arthmetc sequeces, we fd a ad bm m We eed
More informationOn the convergence of derivatives of Bernstein approximation
O the covergece of dervatves of Berste approxmato Mchael S. Floater Abstract: By dfferetatg a remader formula of Stacu, we derve both a error boud ad a asymptotc formula for the dervatves of Berste approxmato.
More informationNew Bounds using the Solution of the Discrete Lyapunov Matrix Equation
Iteratoa Joura of Cotro, Automato, ad Systems Vo., No. 4, December 2003 459 New Bouds usg the Souto of the Dscrete Lyapuov Matrx Euato Dog-G Lee, Gwag-Hee Heo, ad Jog-Myug Woo Abstract: I ths paper, ew
More informationOn a Semi-symmetric Non-metric Connection Satisfying the Schur`s Theorem on a Riemannian Manifold
O a Sem-symmetrc No-metrc oecto Satsfy te Scur`s Teorem o a emaa Mafod Ho Ta Yu Facuty of Matematcs, Km I Su versty, D.P..K Abstract: 99, Aace ad ae troduced te cocet of a sem-symmetrc o-metrc coecto[].
More informationEconometric Methods. Review of Estimation
Ecoometrc Methods Revew of Estmato Estmatg the populato mea Radom samplg Pot ad terval estmators Lear estmators Ubased estmators Lear Ubased Estmators (LUEs) Effcecy (mmum varace) ad Best Lear Ubased Estmators
More informationGeneralization of the Dissimilarity Measure of Fuzzy Sets
Iteratoal Mathematcal Forum 2 2007 o. 68 3395-3400 Geeralzato of the Dssmlarty Measure of Fuzzy Sets Faramarz Faghh Boformatcs Laboratory Naobotechology Research Ceter vesa Research Isttute CECR Tehra
More informationAitken delta-squared generalized Juncgk-type iterative procedure
Atke delta-squared geeralzed Jucgk-type teratve procedure M. De la Se Isttute of Research ad Developmet of Processes. Uversty of Basque Coutry Campus of Leoa (Bzkaa) PO Box. 644- Blbao, 488- Blbao. SPAIN
More informationA Note on the Almost Sure Central Limit Theorem in the Joint Version for the Maxima and Partial Sums of Certain Stationary Gaussian Sequences *
Appe Matheatcs 0 5 598-608 Pubshe Oe Jue 0 ScRes http://wwwscrporg/joura/a http://xoorg/06/a0505 A Note o the Aost Sure Cetra Lt Theore the Jot Verso for the Maxa a Parta Sus of Certa Statoary Gaussa Sequeces
More informationThe Lie Algebra of Smooth Sections of a T-bundle
IST Iteratoal Joural of Egeerg Scece, Vol 7, No3-4, 6, Page 8-85 The Le Algera of Smooth Sectos of a T-udle Nadafhah ad H R Salm oghaddam Astract: I ths artcle, we geeralze the cocept of the Le algera
More informationLecture 12 APPROXIMATION OF FIRST ORDER DERIVATIVES
FDM: Appromato of Frst Order Dervatves Lecture APPROXIMATION OF FIRST ORDER DERIVATIVES. INTRODUCTION Covectve term coservato equatos volve frst order dervatves. The smplest possble approach for dscretzato
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 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 informationEVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM
EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM Jose Javer Garca Moreta Ph. D research studet at the UPV/EHU (Uversty of Basque coutry) Departmet of Theoretcal
More informationSufficiency in Blackwell s theorem
Mathematcal Socal Sceces 46 (23) 21 25 www.elsever.com/locate/ecobase Suffcecy Blacwell s theorem Agesza Belsa-Kwapsz* Departmet of Agrcultural Ecoomcs ad Ecoomcs, Motaa State Uversty, Bozema, MT 59717,
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 informationECONOMETRIC THEORY. MODULE VIII Lecture - 26 Heteroskedasticity
ECONOMETRIC THEORY MODULE VIII Lecture - 6 Heteroskedastcty Dr. Shalabh Departmet of Mathematcs ad Statstcs Ida Isttute of Techology Kapur . Breusch Paga test Ths test ca be appled whe the replcated data
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 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 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 informationAlmost Sure Convergence of Pair-wise NQD Random Sequence
www.ccseet.org/mas Moder Appled Scece Vol. 4 o. ; December 00 Almost Sure Covergece of Par-wse QD Radom Sequece Yachu Wu College of Scece Gul Uversty of Techology Gul 54004 Cha Tel: 86-37-377-6466 E-mal:
More informationJournal of Mathematical Analysis and Applications
J. Math. Aal. Appl. 365 200) 358 362 Cotets lsts avalable at SceceDrect Joural of Mathematcal Aalyss ad Applcatos www.elsever.com/locate/maa Asymptotc behavor of termedate pots the dfferetal mea value
More informationLikewise, properties of the optimal policy for equipment replacement & maintenance problems can be used to reduce the computation.
Whe solvg a vetory repleshmet problem usg a MDP model, kowg that the optmal polcy s of the form (s,s) ca reduce the computatoal burde. That s, f t s optmal to replesh the vetory whe the vetory level s,
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 informationAnalysis of System Performance IN2072 Chapter 5 Analysis of Non Markov Systems
Char for Network Archtectures ad Servces Prof. Carle Departmet of Computer Scece U Müche Aalyss of System Performace IN2072 Chapter 5 Aalyss of No Markov Systems Dr. Alexader Kle Prof. Dr.-Ig. Georg Carle
More informationTR/87 April 1979 INTERPOLATION TO BOUNDARY ON SIMPLICES J.A. GREGORY
TR/87 Apr 979 ITERPOLATIO TO BOUDARY O SIMPLICES by JA GREGORY w60369 Itroducto The fte dmesoa probem of costructg Lagrage ad Hermte terpoats whch atch fucto ad derate aues at a fte umber of pots o a smpex
More informationA Martingale Proof of Dobrushin s Theorem for Non-Homogeneous Markov Chains 1
E e c t r o c J o u r a o f P r o b a b t y Vo. 10 2005), Paper o. 36, pages 1221-1235. Joura URL http://www.math.washgto.edu/ epecp/ A Martgae Proof of Dobrush s Theorem for No-Homogeeous Marov Chas 1
More informationSUBCLASS OF HARMONIC UNIVALENT FUNCTIONS ASSOCIATED WITH SALAGEAN DERIVATIVE. Sayali S. Joshi
Faculty of Sceces ad Matheatcs, Uversty of Nš, Serba Avalable at: http://wwwpfacyu/float Float 3:3 (009), 303 309 DOI:098/FIL0903303J SUBCLASS OF ARMONIC UNIVALENT FUNCTIONS ASSOCIATED WIT SALAGEAN DERIVATIVE
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 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 informationA Characterization of Refinable Rational Functions
AMERICA JOURAL OF UDERGRADUATE RESEARCH VOL. 5, O. 3 A Characterzato of Refabe Ratoa Fuctos Pau Gustafso Departmet of Mathematcs Texas A&M Uversty Coege Stato, Texas 77843-3368 USA atha Savr Departmet
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 informationA coupon collector s problem with bonuses
Fourth Cooquu o Matheatcs ad Coputer Scece DMTCS proc. AG, 2006, 215 224 A coupo coector s probe wth bouses Tosho Nakata 1 ad Izu Kubo 2 1 Departet of Iforato Educato, Fukuoka Uversty of Educato, Akaa-Bukyoach,
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 information( ) = ( ) ( ) Chapter 13 Asymptotic Theory and Stochastic Regressors. Stochastic regressors model
Chapter 3 Asmptotc Theor ad Stochastc Regressors The ature of eplaator varable s assumed to be o-stochastc or fed repeated samples a regresso aalss Such a assumpto s approprate for those epermets whch
More informationInverse Estimates for Lupas-Baskakov Operators
7 JOURNAL OF COMPUTERS VOL 6 NO DECEMBER Iverse Estmates for Lupas-Basaov Operators Zhaje Sog Departmet of Mathematcs Schoo of SceceTaj Uversty Taj 37 Cha Isttute of TV ad Image Iformato Taj Uversty Taj
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 informationDecomposition of Hadamard Matrices
Chapter 7 Decomposto of Hadamard Matrces We hae see Chapter that Hadamard s orgal costructo of Hadamard matrces states that the Kroecer product of Hadamard matrces of orders m ad s a Hadamard matrx of
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 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 informationPart 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971))
art 4b Asymptotc Results for MRR usg RESS Recall that the RESS statstc s a specal type of cross valdato procedure (see Alle (97)) partcular to the regresso problem ad volves fdg Y $,, the estmate at the
More informationA New Measure of Probabilistic Entropy. and its Properties
Appled Mathematcal Sceces, Vol. 4, 200, o. 28, 387-394 A New Measure of Probablstc Etropy ad ts Propertes Rajeesh Kumar Departmet of Mathematcs Kurukshetra Uversty Kurukshetra, Ida rajeesh_kuk@redffmal.com
More informationBERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler
Mathematcal ad Computatoal Applcatos, Vol. 8, No. 3, pp. 293-300, 203 BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS Aysegul Ayuz Dascoglu ad Nese Isler Departmet of Mathematcs,
More informationThe Arithmetic-Geometric mean inequality in an external formula. Yuki Seo. October 23, 2012
Sc. Math. Japocae Vol. 00, No. 0 0000, 000 000 1 The Arthmetc-Geometrc mea equalty a exteral formula Yuk Seo October 23, 2012 Abstract. The classcal Jese equalty ad ts reverse are dscussed by meas of terally
More informationRademacher Complexity. Examples
Algorthmc Foudatos of Learg Lecture 3 Rademacher Complexty. Examples Lecturer: Patrck Rebesch Verso: October 16th 018 3.1 Itroducto I the last lecture we troduced the oto of Rademacher complexty ad showed
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 informationF. Inequalities. HKAL Pure Mathematics. 進佳數學團隊 Dr. Herbert Lam 林康榮博士. [Solution] Example Basic properties
進佳數學團隊 Dr. Herbert Lam 林康榮博士 HKAL Pure Mathematcs F. Ieualtes. Basc propertes Theorem Let a, b, c be real umbers. () If a b ad b c, the a c. () If a b ad c 0, the ac bc, but f a b ad c 0, the ac bc. Theorem
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 information1 0, x? x x. 1 Root finding. 1.1 Introduction. Solve[x^2-1 0,x] {{x -1},{x 1}} Plot[x^2-1,{x,-2,2}] 3
Adrew Powuk - http://www.powuk.com- Math 49 (Numercal Aalyss) Root fdg. Itroducto f ( ),?,? Solve[^-,] {{-},{}} Plot[^-,{,-,}] Cubc equato https://e.wkpeda.org/wk/cubc_fucto Quartc equato https://e.wkpeda.org/wk/quartc_fucto
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 informationLecture Note to Rice Chapter 8
ECON 430 HG revsed Nov 06 Lecture Note to Rce Chapter 8 Radom matrces Let Y, =,,, m, =,,, be radom varables (r.v. s). The matrx Y Y Y Y Y Y Y Y Y Y = m m m s called a radom matrx ( wth a ot m-dmesoal dstrbuto,
More informationSTRONG CONSISTENCY FOR SIMPLE LINEAR EV MODEL WITH v/ -MIXING
Joural of tatstcs: Advaces Theory ad Alcatos Volume 5, Number, 6, Pages 3- Avalable at htt://scetfcadvaces.co. DOI: htt://d.do.org/.864/jsata_7678 TRONG CONITENCY FOR IMPLE LINEAR EV MODEL WITH v/ -MIXING
More informationLogistic regression (continued)
STAT562 page 138 Logstc regresso (cotued) Suppose we ow cosder more complex models to descrbe the relatoshp betwee a categorcal respose varable (Y) that takes o two (2) possble outcomes ad a set of p explaatory
More information