How to explore replicator equations? G.P. Karev
|
|
- Annabel Carter
- 5 years ago
- Views:
Transcription
1 How o explore replcor equos? GP Krev Locheed r SD Nol Isue of Helh Bldg 38 R 5N5N 86 Rocvlle Pe Behes D 2894 US E-l: rev@clhgov src Replcor equos RE) re og he sc ools hecl heory of seleco d evoluo We develop ehod for reducg wde clss of he RE whch geerl re syses of dfferel equos Bch spce o escor syses of ODEs h y cses c e explored lyclly The ehod hs poel for dffere pplcos soe exples re gve Iroduco Cosder syse fored y vrees ech of whch s chrcerzed y he specfc vlue of he vecor-preer ) I geerl vecor c e cosdered s crose of he syse he preers y hve dffere org Le l e he desy of dvduls v he se he oe so h l s he uer of dvduls wh vlues of he phse volue v d N) l s he ol populo sze oe The dycs of he syse s defed y he followg equos dl / d l F ) P ) l / N ) The reproduco re fess ) F s supposed o e sooh fuco of d esurle fuco of y deped o soe exesve vrles whch re soe verges over P The l dsruo P ) d he l populo sze N) re supposed o e gve I s ow h N ) ssfes he equo dn / d NE [ F] here d elow we use he oo E [ ϕ ] ϕ ) P I s lso ow [] h solves he replcor equo dp / d P F E [ F )]) d h he soluo of RE gve l dsruo P ) s uque f exss) I he ls decdes ws dscovered h replcor equos pper o oly populo geecs d seleco heory [2] u lso very dffere res such s heorecl ecology [9] dycl ge heory [4] d eve soe physcl proles see he survey [3] os of hese pplcos ssue h he fess depeds lerly o he frequeces Here we show h wde clss of replcor equos cludg hose wh he ler fess c e solved P 2)
2 explcly d he soluo hs for of e-depede Bolz dsruo The oed resuls re ppled o soe prculr seleco syses d correspodg replcor equos 2 The ehod If he reproduco re F s ow explcly s fuco of he he RE c e esly solved: P exp ) Φ P ) Z ) where Φ ) F u du d Z ) E [exp Φ )] Geerlly he reproduco re F s o gve s explc fuco d should e copued depedg o he curre populo chrcerscs For exple wdely used logsc odels hve he reproduco re of he for F ϕ N ) / B) where B s he upper oury of he populo sze So we should explore he seleco syses wh he reproduco re h c deped o soe egrl chrcerscs of he syse We ccou for exesve chrcerscs he for G ) g l N ) E [ g ] 2) whch deped o he ol syse sze d populo deses d esve chrcerscs he for H ) h P E [ h ] 22) whch do o deped o he syse sze u oly o he populo frequeces We wll refer o oh of he s o regulors for revy Flly we hve he followg geerl verso of he ser odel: dl / d l F 23) F u G ) ϕ + v H ) ψ P ) l / N ) where u v re ppropre fucos The l pdf P d he populo sze N) eed e gve The syse dsruo P solves he replcor equo dp ) / d P F E [ F )]) 24) where ow E [ F )] u G ) E [ ϕ ] + v H ) E [ ψ ] d ll regulors G ogeher wh E [ ϕ ] E [ ψ ] re o gve fucos of e d should e deered odel 23) ws suded [8] see lso [7] for dscree e verso) The developed heory yelds effecve lgorh for vesgo of seleco syses wh frewors of odel 23) d for solvg of replcor equo 24) Le us descre he seps of he lgorh Cosder he proly spce { P } d defe he fucol H
3 r exp λϕ + r λ δ) δ ψ ) P for esurle fucos r o he spce supposed o e esurle o hs spce Defe he uxlry vrles q s 25) { P } ll he fucosϕ ψ re lso y he escor syse of ODE dq / d u G * )) q ) 26) ds / d v H * )) s ) where we deoe G * ) N) g q ) s )) H * ) h q ) s )) / q ) s )) Le K exp q ) ϕ + s ) ψ ) he he soluo o syse 23) l l K G ) G * ) H ) H * ) N ) N ) q ) s )) P ) P K / E [ K ] 27) Forul 27) whch gves he soluo of replcor equo 24) s he cerl resul of he heory The geerl ehod s splfed por cse of he reproduco re F f ) φ wh he regulors S of he fors N ) E φ ] N ) E [ φ ] oly I hs cse we c use he oe geerg fuco of he jo l dsruo of he vrles S [ { φ } oly λ) E [exp λ φ )] sed of geerl fucol 25) The escor syse reds dq / d f S )) q ) where S ) re defed wh he help of foruls N ) N) q )) E [ ϕ ] l q )) Here we deoed δ ) δ) / δ for revy The soluo of correspodg replcor equo P ) P K / E [ K ] E [ K ] q )) The followg exples deosre he lgorh wor 3 pplcos d exples Ihoogeeous lhus odel d he odel of erly evoluo The sples replcor equo wh sgle couous preer reds dp / d P E [ ]) The correspodg seleco syse s he hoogeeous lhus odel dl / d l
4 Le λ) exp λ P The he soluo of he odel l exp l N ) N ) d he soluo o he replcor equo P P exp ) / ) Soluos of hoogeeous lhus d logsc odels d her pplcos were suded [5 6 8] I ws show h eve hese sples cses he replcor equos possess vrey of soluos depedg o he l dsruo whch y hve y eresg d eve coueruve peculres Le us deosre soe of he o he followg hoogeeous lhus odel wh lg fcors odel of erly ologcl evoluo ws suggesed [2] Ech orgs s chrcerzed y he vecor where he copoe s he herodyc proly h proe s s ve coforo I order o sudy he coeco ewee oleculr evoluo d populo he uhors supposed h orgs deh re d depeds o he sly of s proes s d d ) d cos Hece eglecg possle uos ccoued for y he uhors her sulos) he odel c e forlzed s he syse dl ) / d l B )) 3) [ ] B / where ) s he rh re s he ve se proly of proe I wh follows we pu re depede of ech oher we c cosder B for splcy Followg [2] suppose h he vlues s he -h relzo of rdo vrle wh coo pdf f The s well ow h he pdf of [ ] where re depede declly dsrued rdo vrles s g ) G )) f ) where G ) f s he cuulve dsruo fuco The equo dl ) / d l ) ) s verso of hoogeeous lhus equo d c e solved explcly I prculr f f exp / T ) / Z Z exp / T ) 32) s he Bolz dsruo wh > he g G ) f exp x / T )) x> )exp / T ) / x exp x / T )) 33) For dsruo 32) wh couous rge of vlues of ) Z T G ) exp / T ) d g ) exp ) / T )exp / T ) / T / T exp / T ) 34) exp E ) / T ) If E) he Z T exp E / T )) G ) d exp E / T ) exp / T ) exp E ) / T ) g ) [ ] T exp E / T )) exp E / T ) 35) Le λ ) E [exp λ)] For l dsruo 34) λ) λt / l ) )exp ) ) N ) N) exp ) T / P P T / ) exp )
5 he oe / T he populo lows up : N ) d l x ed o fy x Le us deoe p P { : }) The < x p / T exp / T + ) T / ) / T ) exp / T )) The proly P { : < }) eds o for y fe x Loosely speg he ol proly ss goes o fy fer fe e ervl So we should coclude h odel 3) 32) whch llows rrry lrge vlues of he preer wh ozero proly hs o physcl sese Ths prole c e eled y g he l dsruo 35) whch llows oly ouded vlues of he preer For pdf 35) he egrl λ) exp λx) g x dx s well defed for y λ u o expressed qudrures Neverheless we c o uch foro ou he syse dsruo d s dycs The curre pdf exp p exp E / T )exp E / T ) ) T exp E / T ) ) ) E ) where ) s fe for ll So he pdf s well deered y e oe cors o he prevous cse The ol dsruo coceres wh e he po E whch provdes he xl reproduco re 2 The Fsher-Hle-Wrgh equo I sees h oe of he frs replcor equos ws roduced y R Fsher 93 [] for geoype evoluo: dp p W W ) 36) d where W W p W pw p Here p s he frequecy of he gee W s he solue fess of he zygoe I hecl geecs hs equo s ow s he Fsher- Hle-Wrgh equo FHWe) d soees s referred o s he equo of hecl geecs see []) The rx { W } s syerc d hece hs he specrl represeo W ω h h ) where ω re o-zero egevlues d h re correspodg orhoorl egevecors of W s he r of W } The { W ) W p ) ω h h ) p ) ω E [ h ] h The FHW-equo ow reds dp 2 p ω h E [ h ] E [ h ]) ) d Cosder he ssoced seleco syse: 37)
6 dl / d l ω h E [ h ] 38) The rge of vlues of he preer s ow fe se ule he prevous exples Defe he gf of he l dsruo of he preer : δ ) exp δ h ) P E [exp δ h ))] Copose d solve he escor syse of ODE ds / d ω E [ h ) exp s h ))]/ E [exp s h ))] These equos c e wre ore copc for ds / d ω l s ) / s The he soluo o he seleco syse 38) l l K where K exp s ) h ) he populo sze N ) N) s )) he vlues of regulors oe H ) E [ h ] l s )) / s d he curre syse dsruo P P K / E [ K )] wh E [ K )] s )) The ls forul gves he soluo of FHW-equo 36) Techclly he descred pproch s useful oly f he r of he fess rx W s sgfcly sller he s deso < The pproch s especlly useful for fely desol syse 36) Le us rer h geerl he fess rx c o e ow excly u s elees c e well pproxed y expresso 37) wh sll For exple f W ww for ll he he l y-deso or eve fe-deso) syse 36) s reduced o sgle ODE Ths cse correspods o well-ow exple of populo he Hrdy-Weerg equlru 4 Dscusso I hs pper we forule d pply ehod h llows us o effecvely solve wde clss of replcor equos d correspodg odels of seleco syses os of hese odels hve for of y or fely) -desol syses of dfferel equos Soe heores of exsece d uqueess d sypoc ehvor of soluos o prculr clsses of such equos were eslshed erler d y prculr odels were suded however o he es of our owledge o geerl ehods for solvg he RE lyclly excep for ler cses) were ow The suggesed lgorh s sed o recely developed heory of hoogeeous populo odels d seleco syses wh dsrued preers [8] The odel ehvor y e dffere d eve couer uve depedg o he l dsruo eve for sples lhus d logsc odels We hve ppled he ehod o soe replcor equos ow fro lerure such s fuel Fsher-Hle-Wrgh geec equo We hope h hs pper y e useful for
7 udersdg dyc peculres of soluos of replcor equos d he crucl role of he l dsruos we lso hope h he geerl ehod d prculr exples preseed here c help sudy replcor equos whch pper dffere res of hecl ology Refereces [] R Fsher The Geecl Theory of Nurl Seleco: Coplee Vroru Edo Oxford Uv Press Oxford 999 [2] N Gor RG Khleopros Deo of Drw: Ide of oply d url seleco Nu FzGz) oscow 988 Russ) [3] N Gor Seleco Theore for Syses wh Iherce h odel N Pheo 2 4) 27) -45 [4] J Hofuer K Sgud Evoluory Ges d Populo Dycs Crdge Uversy Press 998 [5] GP Krev Ihoogeeous odels of ree sd self-hg Ecol odel 6 23) [6] GP Krev Dyc heory of o-ufor populo d glol deogrphy odels J of Bologcl Syses 3 25) 83-4 [7] GP Krev Ihoogeeous ps d hecl heory of seleco JDE 4 28) 3-58 [8] GP Krev O hecl heory of seleco: Couous-e populo dycs JB 28) sued) [9] FN Seevsy S Seeov hecl odelg of ecologcl processes Gdroeeoz Legrd 982) Russ) [] P Schuser K Sgud Replcor dycs J Theor Bology 983) [] Svrezhev Y Psseov VP Fuels of hecl Evoluory Geecs Dordrech: Kluwer cd Pul 99 [2] KB Zeldovch P Che BE Shhovch EI Shhovch Frs-Prcples odel of Erly Evoluo: Eergece of Gee Fles Speces d Preferred Proe Folds PLoS Copu Bol 3 7) 27)
Integral Equations and their Relationship to Differential Equations with Initial Conditions
Scece Refleco SR Vol 6 wwwscecereflecocom Geerl Leers Mhemcs GLM 6 3-3 Geerl Leers Mhemcs GLM Wese: hp://wwwscecereflecocom/geerl-leers--mhemcs/ Geerl Leers Mhemcs Scece Refleco Iegrl Equos d her Reloshp
More informationLaplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.
Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o
More informationStat 6863-Handout 5 Fundamentals of Interest July 2010, Maurice A. Geraghty
S 6863-Hou 5 Fuels of Ieres July 00, Murce A. Gerghy The pror hous resse beef cl occurreces, ous, ol cls e-ulero s ro rbles. The fl copoe of he curl oel oles he ecooc ssupos such s re of reur o sses flo.
More informationAsymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse
P a g e Vol Issue7Ver,oveber Global Joural of Scece Froer Research Asypoc Behavor of Soluos of olear Delay Dffereal Equaos Wh Ipulse Zhag xog GJSFR Classfcao - F FOR 3 Absrac Ths paper sudes he asypoc
More informationSTOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION
The Bk of Thld Fcl Isuos Polcy Group Que Models & Fcl Egeerg Tem Fcl Mhemcs Foudo Noe 8 STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION. ก Through he use of ordry d/or prl deres, ODE/PDE c rele
More informationThe Existence and Uniqueness of Random Solution to Itô Stochastic Integral Equation
Appled Mhemcs,, 3, 8-84 hp://dx.do.org/.436/m..379 Pulshed Ole July (hp://www.scrp.org/jourl/m) The Exsece d Uqueess of Rdom Soluo o Iô Sochsc Iegrl Equo Hmd Ahmed Alff, Csh Wg School of Mhemcs d Iformo
More informationThe Properties of Probability of Normal Chain
I. J. Coep. Mah. Sceces Vol. 8 23 o. 9 433-439 HIKARI Ld www.-hkar.co The Properes of Proaly of Noral Cha L Che School of Maheacs ad Sascs Zheghou Noral Uversy Zheghou Cy Hea Provce 4544 Cha cluu6697@sa.co
More information4. Runge-Kutta Formula For Differential Equations
NCTU Deprme o Elecrcl d Compuer Egeerg 5 Sprg Course by Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos To solve e derel equos umerclly e mos useul ormul s clled Ruge-Ku ormul
More information4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula
NCTU Deprme o Elecrcl d Compuer Egeerg Seor Course By Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos A. Euler Formul B. Ruge-Ku Formul C. A Emple or Four-Order Ruge-Ku Formul
More informationInterval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X
ECON 37: Ecoomercs Hypohess Tesg Iervl Esmo Wh we hve doe so fr s o udersd how we c ob esmors of ecoomcs reloshp we wsh o sudy. The queso s how comforble re we wh our esmors? We frs exme how o produce
More informationSolution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations
Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare
More informationASYMPTOTIC BEHAVIOR OF SOLUTIONS OF DISCRETE EQUATIONS ON DISCRETE REAL TIME SCALES
ASYPTOTI BEHAVIOR OF SOLUTIONS OF DISRETE EQUATIONS ON DISRETE REAL TIE SALES J. Dlí B. Válvíová 2 Bro Uversy of Tehology Bro zeh Repul 2 Deprme of heml Alyss d Appled hems Fuly of See Uversy of Zl Žl
More informationModified Taylor's Method and Nonlinear Mixed Integral Equation
Uversl Jourl of Iegrl quos 4 (6), 9 wwwpperscecescom Modfed Tylor's Mehod d oler Mxed Iegrl quo R T Moog Fculy of Appled Scece, Umm Al Qurh Uversy Mkh, Kgdom of Sud Ar rmoog_777@yhoocom Asrc I hs pper,
More informationHeart pacemaker wear life model based on frequent properties and life distribution*
J. Boedcl Scece d Egeerg,, 3, 375-379 JBSE do:.436/jse..345 Pulshed Ole Aprl (hp://www.scrp.org/jourl/jse/). Her pceer wer lfe odel sed o freque properes d lfe dsruo* Qo-Lg Tog, Xue-Cheg Zou, J Tg, Heg-Qg
More informationThrough the fractional Riemann Liouville integral x
Volue 7 Issue 5 M 7 ISSN: 77 8X Ierol ourl o Advced Reserch Copuer Scece d Sowre geerg Reserch Pper Avlle ole : wwwjrcsseco se he Soluo o Frcol erel quos wh Trscedel Fucos Mukesh Grover r Aru Kur Toer
More informationExplicit Representation of Green s Function for Linear Fractional. Differential Operator with Variable Coefficients
KSU-MH--E-R-: Verso 3 Epc Represeo of Gree s uco for er rco ffere Operor w Vrbe Coeffces Mog-H K d Hog-Co O cu of Mecs K Sug Uvers Pogg P R Kore Correspodg uor e-: oogco@ooco bsrc We provde epc represeos
More informationChapter Simpson s 1/3 Rule of Integration. ( x)
Cper 7. Smpso s / Rule o Iegro Aer redg s per, you sould e le o. derve e ormul or Smpso s / rule o egro,. use Smpso s / rule o solve egrls,. develop e ormul or mulple-segme Smpso s / rule o egro,. use
More informationP-Convexity Property in Musielak-Orlicz Function Space of Bohner Type
J N Sce & Mh Res Vol 3 No (7) -7 Alble ole h://orlwlsogocd/deh/sr P-Coey Proery Msel-Orlcz Fco Sce o Boher ye Yl Rodsr Mhecs Edco Deree Fcly o Ss d echology Uerss sl Neger Wlsogo Cerl Jdoes Absrcs Corresodg
More informationSupporting information How to concatenate the local attractors of subnetworks in the HPFP
n Effcen lgorh for Idenfyng Prry Phenoype rcors of Lrge-Scle Boolen Newor Sng-Mo Choo nd Kwng-Hyun Cho Depren of Mhecs Unversy of Ulsn Ulsn 446 Republc of Kore Depren of Bo nd Brn Engneerng Kore dvnced
More information14. Poisson Processes
4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur
More informationThe Poisson Process Properties of the Poisson Process
Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad
More informationModeling and Predicting Sequences: HMM and (may be) CRF. Amr Ahmed Feb 25
Modelg d redcg Sequeces: HMM d m be CRF Amr Ahmed 070 Feb 25 Bg cure redcg Sgle Lbel Ipu : A se of feures: - Bg of words docume - Oupu : Clss lbel - Topc of he docume - redcg Sequece of Lbels Noo Noe:
More informationThe Products of Regularly Solvable Operators with Their Spectra in Direct Sum Spaces
Advces Pure Mhemcs 3 3 45-49 h://dxdoorg/436/m3346 Pulshed Ole July 3 (h://wwwscrorg/ourl/m) he Producs of Regulrly Solvle Oerors wh her Secr Drec Sum Sces Sohy El-Syed Irhm Derme of Mhemcs Fculy of Scece
More informationLecture 3 summary. C4 Lecture 3 - Jim Libby 1
Lecue su Fes of efeece Ivce ude sfoos oo of H wve fuco: d-fucos Eple: e e - µ µ - Agul oeu s oo geeo Eule gles Geec slos cosevo lws d Noehe s heoe C4 Lecue - Lbb Fes of efeece Cosde fe of efeece O whch
More informationIsotropic Non-Heisenberg Magnet for Spin S=1
Ierol Jourl of Physcs d Applcos. IN 974- Volume, Number (, pp. 7-4 Ierol Reserch Publco House hp://www.rphouse.com Isoropc No-Heseberg Mge for p = Y. Yousef d Kh. Kh. Mumov.U. Umrov Physcl-Techcl Isue
More informationWe are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors
We re IechOpe he world s ledg pulsher of Ope Access oos Bul y scess for scess 4 6 M Ope ccess oos vlle Ierol uhors d edors Dowlods Our uhors re og he 54 Coures delvered o OP % os ced scess % Coruors fro
More informationContinuous Indexed Variable Systems
Ieraoal Joural o Compuaoal cece ad Mahemacs. IN 0974-389 Volume 3, Number 4 (20), pp. 40-409 Ieraoal Research Publcao House hp://www.rphouse.com Couous Idexed Varable ysems. Pouhassa ad F. Mohammad ghjeh
More informationDecompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files)
. Iroduco Probblsc oe-moh forecs gudce s mde b 50 esemble members mproved b Model Oupu scs (MO). scl equo s mde b usg hdcs d d observo d. We selec some prmeers for modfg forecs o use mulple regresso formul.
More information6.6 Moments and Centers of Mass
th 8 www.tetodre.co 6.6 oets d Ceters of ss Our ojectve here s to fd the pot P o whch th plte of gve shpe lces horzotll. Ths pot s clled the ceter of ss ( or ceter of grvt ) of the plte.. We frst cosder
More informationTEACHERS ASSESS STUDENT S MATHEMATICAL CREATIVITY COMPETENCE IN HIGH SCHOOL
Jourl o See d rs Yer 5, No., pp. 5-, 5 ORIGINL PPER TECHERS SSESS STUDENT S MTHEMTICL CRETIVITY COMPETENCE IN HIGH SCHOOL TRN TRUNG TINH Musrp reeved: 9..5; eped pper:..5; Pulsed ole:..5. sr. ssessme s
More informationAn improved Bennett s inequality
COMMUNICATIONS IN STATISTICS THEORY AND METHODS 017,VOL.0,NO.0,1 8 hps://do.org/10.1080/0361096.017.1367818 A mproved Bee s equly Sogfeg Zheg Deprme of Mhemcs, Mssour Se Uversy, Sprgfeld, MO, USA ABSTRACT
More informationChapter Trapezoidal Rule of Integration
Cper 7 Trpezodl Rule o Iegro Aer redg s per, you sould e le o: derve e rpezodl rule o egro, use e rpezodl rule o egro o solve prolems, derve e mulple-segme rpezodl rule o egro, 4 use e mulple-segme rpezodl
More informationThe Linear Regression Of Weighted Segments
The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed
More informationAPPLICATION REGRESSION METHOD IN THE CALCULATION OF INDICATORS ECONOMIC RISK
APPLICATIO REGRESSIO METHOD I THE CALCULATIO OF IDICATORS ECOOMIC RISK Ec. PhD Flor ROMA STA Asrc The ojecve of hs Arcle s o show h ecoomc rsk s flueced mulple fcors, d regresso mehod c eslsh he ee of
More informationFibonacci and Lucas Numbers as Tridiagonal Matrix Determinants
Rochester Isttute of echology RI Scholr Wors Artcles 8-00 bocc d ucs Nubers s rdgol trx Deterts Nth D. Chll Est Kod Copy Drre Nry Rochester Isttute of echology ollow ths d ddtol wors t: http://scholrwors.rt.edu/rtcle
More informationNONLINEAR SYSTEM OF SINGULAR PARTIAL DIFFERENTIAL EQUATIONS
Jourl of Mhemcl Sceces: dvces d pplcos Volume 43, 27, Pges 3-53 vlble hp://scefcdvces.co. DOI: hp://d.do.org/.8642/ms_72748 OLIER SYSTEM OF SIGULR PRTIL DIFFERETIL EQUTIOS PTRICE POGÉRRD Mhemcs Lborory
More informationINTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY
[Mjuh, : Jury, 0] ISSN: -96 Scefc Jourl Impc Fcr: 9 ISRA, Impc Fcr: IJESRT INTERNATIONAL JOURNAL OF ENINEERIN SCIENCES & RESEARCH TECHNOLOY HAMILTONIAN LACEABILITY IN MIDDLE RAPHS Mjuh*, MurlR, B Shmukh
More information4.1 Schrödinger Equation in Spherical Coordinates
Phs 34 Quu Mehs D 9 9 Mo./ Wed./ Thus /3 F./4 Mo., /7 Tues. / Wed., /9 F., /3 4.. -. Shodge Sphe: Sepo & gu (Q9.) 4..-.3 Shodge Sphe: gu & d(q9.) Copuo: Sphe Shodge s 4. Hdoge o (Q9.) 4.3 gu Moeu 4.4.-.
More informationThe Mean Residual Lifetime of (n k + 1)-out-of-n Systems in Discrete Setting
Appled Mahemacs 4 5 466-477 Publshed Ole February 4 (hp//wwwscrporg/oural/am hp//dxdoorg/436/am45346 The Mea Resdual Lfeme of ( + -ou-of- Sysems Dscree Seg Maryam Torab Sahboom Deparme of Sascs Scece ad
More informationInternational Journal of Scientific & Engineering Research, Volume 3, Issue 10, October ISSN
Ieraoal Joural of cefc & Egeerg Research, Volue, Issue 0, Ocober-0 The eady-ae oluo Of eral hael Wh Feedback Ad Reegg oeced Wh o-eral Queug Processes Wh Reegg Ad Balkg ayabr gh* ad Dr a gh** *Assoc Prof
More informationScience & Technologies GENERAL BIRTH-DEATH PROCESS AND SOME OF THEIR EM (EXPETATION- MAXIMATION) ALGORITHM
GEERAL BIRH-EAH ROCESS A SOME OF HEIR EM EXEAIO- MAXIMAIO) ALGORIHM Il Hl, Lz Ker, Ylldr Seer Se ery o eoo,, eoo Mcedo l.hl@e.ed.; lz.er@e.ed.; ylldr_@hol.co ABSRAC Brh d deh roce coo-e Mrco ch, h odel
More informationA NEW FIVE-POINT BINARY SUBDIVISION SCHEME WITH A PARAMETER
Jourl of ure d Appled Mhemcs: Advces d Applcos Volume 9 Numer ges -9 Avlle hp://scefcdvcesco DOI: hp://dxdoorg/6/ms_9 A NEW FIVE-OINT BINARY UBDIVIION CHEME WITH A ARAMETER YAN WANG * d HIMING LI chool
More informationCalculation of Effective Resonance Integrals
Clculo of ffecve Resoce egrls S.B. Borzkov FLNP JNR Du Russ Clculo of e effecve oce egrl wc cludes e rel eerg deedece of euro flux des d correco o e euro cure e smle s eeded for ccure flux deermo d euro
More information8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall
8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model
More informationFORCED VIBRATION of MDOF SYSTEMS
FORCED VIBRAION of DOF SSES he respose of a N DOF sysem s govered by he marx equao of moo: ] u C] u K] u 1 h al codos u u0 ad u u 0. hs marx equao of moo represes a sysem of N smulaeous equaos u ad s me
More informationDetermination of Antoine Equation Parameters. December 4, 2012 PreFEED Corporation Yoshio Kumagae. Introduction
refeed Soluos for R&D o Desg Deermao of oe Equao arameers Soluos for R&D o Desg December 4, 0 refeed orporao Yosho Kumagae refeed Iroduco hyscal propery daa s exremely mpora for performg process desg ad
More informationSolution. The straightforward approach is surprisingly difficult because one has to be careful about the limits.
ose ad Varably Homewor # (8), aswers Q: Power spera of some smple oses A Posso ose A Posso ose () s a sequee of dela-fuo pulses, eah ourrg depedely, a some rae r (More formally, s a sum of pulses of wdh
More informationθ = θ Π Π Parametric counting process models θ θ θ Log-likelihood: Consider counting processes: Score functions:
Paramerc coug process models Cosder coug processes: N,,..., ha cou he occurreces of a eve of eres for dvduals Iesy processes: Lelhood λ ( ;,,..., N { } λ < Log-lelhood: l( log L( Score fucos: U ( l( log
More informationOn Absolute Indexed Riesz Summability of Orthogonal Series
Ieriol Jourl of Couiol d Alied Mheics. ISSN 89-4966 Volue 3 Nuer (8). 55-6 eserch Idi Pulicios h:www.riulicio.co O Asolue Ideed iesz Suiliy of Orhogol Series L. D. Je S. K. Piry *. K. Ji 3 d. Sl 4 eserch
More informationExtension of Hardy Inequality on Weighted Sequence Spaces
Jourl of Scieces Islic Reublic of Ir 20(2): 59-66 (2009) Uiversiy of ehr ISS 06-04 h://sciecesucir Eesio of Hrdy Iequliy o Weighed Sequece Sces R Lshriour d D Foroui 2 Dere of Mheics Fculy of Mheics Uiversiy
More informationRandom Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings Hongxia Dai
Ro Geeralzed B-lear Mxed Varaoal-lke Iequaly for Ro Fuzzy Mappgs Hogxa Da Depare of Ecooc Maheacs Souhweser Uversy of Face Ecoocs Chegdu 674 P.R.Cha Absrac I h paper we roduce sudy a ew class of ro geeralzed
More informationThe algebraic immunity of a class of correlation immune H Boolean functions
Ieraoal Coferece o Advaced Elecroc Scece ad Techology (AEST 06) The algebrac mmuy of a class of correlao mmue H Boolea fucos a Jgla Huag ad Zhuo Wag School of Elecrcal Egeerg Norhwes Uversy for Naoales
More informationUnscented Transformation Unscented Kalman Filter
Usceed rsformo Usceed Klm Fler Usceed rcle Fler Flerg roblem Geerl roblem Seme where s he se d s he observo Flerg s he problem of sequell esmg he ses (prmeers or hdde vrbles) of ssem s se of observos become
More informationMTH 146 Class 7 Notes
7.7- Approxmte Itegrto Motvto: MTH 46 Clss 7 Notes I secto 7.5 we lered tht some defte tegrls, lke x e dx, cot e wrtte terms of elemetry fuctos. So, good questo to sk would e: How c oe clculte somethg
More informationProbability Bracket Notation and Probability Modeling. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA 94087, USA. Abstract
Probably Bracke Noao ad Probably Modelg Xg M. Wag Sherma Vsual Lab, Suyvale, CA 94087, USA Absrac Ispred by he Drac oao, a ew se of symbols, he Probably Bracke Noao (PBN) s proposed for probably modelg.
More information2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission
/0/0 Topcs Power Flow Part Text: 0-0. Power Trassso Revsted Power Flow Equatos Power Flow Proble Stateet ECEGR 45 Power Systes Power Trassso Power Trassso Recall that for a short trassso le, the power
More informationA NEW ALGORITHM FOR SOLVING FULLY FUZZY BI-LEVEL QUADRATIC PROGRAMMING PROBLEMS
Operos Reserh d Applos : A Ierol Jorl ORAJ Vol5 No M 8 A NEW AORITHM OR SOVIN UY UZZY BI-EVE QUADRATIC PRORAMMIN PROBEMS ABSTRACT A H Aer Depre of Mhes l of See Helw Uvers Cro Egp Ths pper s oered wh ew
More informationAnalysis of a Stochastic Lotka-Volterra Competitive System with Distributed Delays
Ieraoal Coferece o Appled Maheac Sulao ad Modellg (AMSM 6) Aaly of a Sochac Loa-Volerra Copeve Sye wh Drbued Delay Xagu Da ad Xaou L School of Maheacal Scece of Togre Uvery Togre 5543 PR Cha Correpodg
More informationContinuous Time Markov Chains
Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,
More informationCyclone. Anti-cyclone
Adveco Cycloe A-cycloe Lorez (963) Low dmesoal aracors. Uclear f hey are a good aalogy o he rue clmae sysem, bu hey have some appealg characerscs. Dscusso Is he al codo balaced? Is here a al adjusme
More informationForms of Energy. Mass = Energy. Page 1. SPH4U: Introduction to Work. Work & Energy. Particle Physics:
SPH4U: Inroducion o ork ork & Energy ork & Energy Discussion Definiion Do Produc ork of consn force ork/kineic energy heore ork of uliple consn forces Coens One of he os iporn conceps in physics Alernive
More informationDelay-Dependent Robust Asymptotically Stable for Linear Time Variant Systems
Delay-Depede Robus Asypocally Sable for Lear e Vara Syses D. Behard, Y. Ordoha, S. Sedagha ABSRAC I hs paper, he proble of delay depede robus asypocally sable for ucera lear e-vara syse wh ulple delays
More informationAdaptive Deconvolution and Cross Equalization
Adpve Decovoluo Dr. M. urh ury er Roc Sold ges Adpve Decovoluo d Cross Equlzo By: Dr. M. urh ury er.er@rocsoldges.co roduco: Augus 998 Adpve lerg hve bee roduced by Wdro, hch ler led o he develope o eurl
More informationStudy of Real time Dynamic Preventive Maintenance Policy for Deteriorating Production Systems
Sudy of Rel e Dyc reveve Mece olcy for Deeror roduco Syses Sudy of Rel e Dyc reveve Mece olcy for Deeror roduco Syses Ch-T Che M-H Ch- 3 d Joh Yu 4 Assoce professor Depre of Idusrl Eeer d Mee T-H Isue
More informationNumerical Methods using the Successive Approximations for the Solution of a Fredholm Integral Equation
ece Advce Appled d eorecl ec uercl eod u e Succeve Approo or e Soluo o Fredol Ierl Equo AIA OBIŢOIU epre o ec d opuer Scece Uvery o Peroş Uvery Sree 6 Peroş OAIA rdorou@yoo.co Arc: pper pree wo eod or
More informationThe ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.
C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)
More informationI I M O I S K J H G. b gb g. Chapter 8. Problem Solutions. Semiconductor Physics and Devices: Basic Principles, 3 rd edition Chapter 8
emcouc hyscs evces: Bsc rcles, r eo Cher 8 oluos ul rolem oluos Cher 8 rolem oluos 8. he fwr s e ex f The e ex f e e f ex () () f f f f l G e f f ex f 59.9 m 60 m 0 9. m m 8. e ex we c wre hs s e ex h
More informationA Second Kind Chebyshev Polynomial Approach for the Wave Equation Subject to an Integral Conservation Condition
SSN 76-7659 Eglad K Joural of forao ad Copug Scece Vol 7 No 3 pp 63-7 A Secod Kd Chebyshev olyoal Approach for he Wave Equao Subec o a egral Coservao Codo Soayeh Nea ad Yadollah rdokha Depare of aheacs
More informationII The Z Transform. Topics to be covered. 1. Introduction. 2. The Z transform. 3. Z transforms of elementary functions
II The Z Trnsfor Tocs o e covered. Inroducon. The Z rnsfor 3. Z rnsfors of eleenry funcons 4. Proeres nd Theory of rnsfor 5. The nverse rnsfor 6. Z rnsfor for solvng dfference equons II. Inroducon The
More informationChapter 1 - Free Vibration of Multi-Degree-of-Freedom Systems - I
CEE49b Chaper - Free Vbrao of M-Degree-of-Freedo Syses - I Free Udaped Vbrao The basc ype of respose of -degree-of-freedo syses s free daped vbrao Aaogos o sge degree of freedo syses he aayss of free vbrao
More informationApplication of Multiple Exp-Function Method to Obtain Multi-Soliton Solutions of (2 + 1)- and (3 + 1)-Dimensional Breaking Soliton Equations
Amerc Jourl of Compuol Appled Mhemcs: ; (: 4-47 DOI:.593/j.jcm..8 Applco of Mulple Exp-Fuco Mehod o Ob Mul-Solo Soluos of ( + - (3 + -Dmesol Breg Solo Equos M. T. Drvsh,*, Mlheh Njf, Mohmmd Njf Deprme
More informationWeek 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead)
Week 8 Lecure 3: Problems 49, 5 Fourier lysis Coursewre pp 6-7 (do look Frech very cofusig look i he Coursewre ised) Fourier lysis ivolves ddig wves d heir hrmoics, so i would hve urlly followed fer he
More informationOptimal Control and Hamiltonian System
Pure ad Appled Maheacs Joural 206; 5(3: 77-8 hp://www.scecepublshggroup.co//pa do: 0.648/.pa.2060503.3 ISSN: 2326-9790 (Pr; ISSN: 2326-982 (Ole Opal Corol ad Haloa Syse Esoh Shedrack Massawe Depare of
More informationThe Infinite NHPP Software Reliability Model based on Monotonic Intensity Function
Id Jourl of Scece d Techology, Vol 8(4), DOI:.7485/js/25/v84/68342, July 25 ISSN (Pr) : 974-6846 ISSN (Ole) : 974-5645 The Ife Sofwre Relly Model sed o Moooc Iesy Fuco Te-Hyu Yoo * Deprme of Scece To,
More informationIntroduction to Neural Networks Computing. CMSC491N/691N, Spring 2001
Iroduco o Neurl Neorks Compug CMSC49N/69N, Sprg 00 us: cvo/oupu: f eghs: X, Y j X Noos, j s pu u, for oher us, j pu sgl here f. s he cvo fuco for j from u o u j oher books use Y f _ j j j Y j X j Y j bs:
More informationX-Ray Notes, Part III
oll 6 X-y oe 3: Pe X-Ry oe, P III oe Deeo Coe oupu o x-y ye h look lke h: We efe ue of que lhly ffee efo h ue y ovk: Co: C ΔS S Sl o oe Ro: SR S Co o oe Ro: CR ΔS C SR Pevouly, we ee he SR fo ye hv pxel
More informationANALYSIS OF FLUID-SATURATED POROUS MEDIA IN TWO DIMENSIONS UNDER EARTHQUAKE LOAD
ANALYI O LI-ATATE POO MEIA IN TWO IMENION NE EATHQAKE LOA Xoj QIN hol CHEN Ad Xh ZEN 3 MMAY The lss of d rse pheoe fld-sred poros ed s of gre eres geoehl egeerg d egeerg sesolog. I he prese pper he respose
More informationA note on Turán number Tk ( 1, kn, )
A oe o Turá umber T (,, ) L A-Pg Beg 00085, P.R. Cha apl000@sa.com Absrac: Turá umber s oe of prmary opcs he combaorcs of fe ses, hs paper, we wll prese a ew upper boud for Turá umber T (,, ). . Iroduco
More informationONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin
Iero Jor "Iforo Theore & co" Vo 463 ONE PPROH FOR THE OPTIIZTION OF ETITE UTING GORITH Do rc: I h rce he ew roch for ozo of eo ccg gorh ggeed I c e ed for fdg he correc gorh of coexy he coex of gerc roch
More informationAn Adaptation of the Scheifele Method to Stiff Systems of Differential Equations
86 he Ope Appled Mhecs Jourl 8 86-94 Ope Access A Adpo of he Schefele Mehod o Sff Syses of Dfferel Equos J.A. Reyes F. Grcí-Aloso d Y. Vllcp* Depre of Appled Mhecs. Hgher Polyechc School (EPS). Uversy
More informationTechnical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.
Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so
More informationOptimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek
Optmlt of Strteges for Collpsg Expe Rom Vrles Smple Rom Smple E Stek troucto We revew the propertes of prectors of ler comtos of rom vrles se o rom vrles su-spce of the orgl rom vrles prtculr, we ttempt
More informationStrong Convergence Rates of Wavelet Estimators in Semiparametric Regression Models with Censored Data*
8 The Ope ppled Maheacs Joural 008 8-3 Srog Covergece Raes of Wavele Esaors Separaerc Regresso Models wh Cesored Daa Hogchag Hu School of Maheacs ad Sascs Hube Noral Uversy Huagsh 43500 Cha bsrac: The
More informationAnalysis of the Preference Shift of. Customer Brand Selection. and Its Matrix Structure. -Expansion to the second order lag
Jourl of Compuo & Modellg vol. o. 6-9 ISS: 79-76 (pr) 79-88 (ole) Scepre Ld l of he Preferece Shf of Cuomer Brd Seleco d I Mr Srucure -Epo o he ecod order lg Kuhro Teu rc I ofe oerved h coumer elec he
More informationPhysics 232 Exam I Feb. 13, 2006
Phsics I Fe. 6 oc. ec # Ne..5 g ss is ched o hoizol spig d is eecuig siple hoic oio. The oio hs peiod o.59 secods. iiil ie i is oud o e 8.66 c o he igh o he equiliiu posiio d oig o he le wih eloci o sec.
More informationFALL HOMEWORK NO. 6 - SOLUTION Problem 1.: Use the Storage-Indication Method to route the Input hydrograph tabulated below.
Jorge A. Ramírez HOMEWORK NO. 6 - SOLUTION Problem 1.: Use he Sorage-Idcao Mehod o roue he Ipu hydrograph abulaed below. Tme (h) Ipu Hydrograph (m 3 /s) Tme (h) Ipu Hydrograph (m 3 /s) 0 0 90 450 6 50
More informationLeast squares and motion. Nuno Vasconcelos ECE Department, UCSD
Leas squares ad moo uo Vascocelos ECE Deparme UCSD Pla for oda oda we wll dscuss moo esmao hs s eresg wo was moo s ver useful as a cue for recogo segmeao compresso ec. s a grea eample of leas squares problem
More informationNovel Bose-Einstein Interference in the Passage of a Jet in a Dense Medium. Oak Ridge National Laboratory
Rdge Worksho, INT, My 7-, 0 Novel Bose-Ese Ierferece he Pssge of Je Dese Medu Cheuk-Y Wog Ok Rdge Nol Lborory Our focus: recols of edu ros fer je collso Poel odel versus Fey lude roch Bose-Ese erferece
More informationUnion, Intersection, Product and Direct Product of Prime Ideals
Globl Jourl of Pure d Appled Mthemtcs. ISSN 0973-1768 Volume 11, Number 3 (2015), pp. 1663-1667 Reserch Id Publctos http://www.rpublcto.com Uo, Itersecto, Product d Drect Product of Prme Idels Bdu.P (1),
More informationMoments of Order Statistics from Nonidentically Distributed Three Parameters Beta typei and Erlang Truncated Exponential Variables
Joural of Mahemacs ad Sascs 6 (4): 442-448, 200 SSN 549-3644 200 Scece Publcaos Momes of Order Sascs from Nodecally Dsrbued Three Parameers Bea ype ad Erlag Trucaed Expoeal Varables A.A. Jamoom ad Z.A.
More informationLinear Regression Linear Regression with Shrinkage
Lear Regresso Lear Regresso h Shrkage Iroduco Regresso meas predcg a couous (usuall scalar oupu from a vecor of couous pus (feaures x. Example: Predcg vehcle fuel effcec (mpg from 8 arbues: Lear Regresso
More informationAnt Colony Algorithm Based on Information Entropy Theory to Fuzzy Vehicle Routing Problem
A Coloy Algorh Bsed o Iforo Eropy Theory o Fuzzy Vehcle Roug Proble Lsheg Tg Weg Cheg Zeqg Zhg B Zhog Reserch Isue of Mechcl Egeerg, Souhes Joog Uversy, Chegdu 6003, P. R. Ch Absrc To dp he chgg of rke
More informationConquering kings their titles take ANTHEM FOR CONGREGATION AND CHOIR
Coquerg gs her es e NTHEM FOR CONGREGTION ND CHOIR I oucg hs hm-hem, whch m be cuded Servce eher s Hm or s hem, he Cogrego m be referred o he No. of he Hm whch he words pper, d ved o o sgg he 1 s, 4 h,
More informationAn Improvement on Disc Separation of the Schur Complement and Bounds for Determinants of Diagonally Dominant Matrices
ISSN 746-7659, Egd, UK Jor of Iformo d Compg See Vo. 5, No. 3, 2, pp. 224-232 A Improveme o Ds Sepro of he Shr Compeme d Bods for Deerms of Dgoy Dom Mres Zhohog Hg, Tgzh Hg Shoo of Mhem Sees, Uversy of
More informationFundamentals of Speech Recognition Suggested Project The Hidden Markov Model
. Projec Iroduco Fudameals of Speech Recogo Suggesed Projec The Hdde Markov Model For hs projec, s proposed ha you desg ad mpleme a hdde Markov model (HMM) ha opmally maches he behavor of a se of rag sequeces
More informationReal-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF
EDA/DIT6 Real-Tme Sysems, Chalmers/GU, 0/0 ecure # Updaed February, 0 Real-Tme Sysems Specfcao Problem: Assume a sysem wh asks accordg o he fgure below The mg properes of he asks are gve he able Ivesgae
More information-distributed random variables consisting of n samples each. Determine the asymptotic confidence intervals for
Assgme Sepha Brumme Ocober 8h, 003 9 h semeser, 70544 PREFACE I 004, I ed o sped wo semesers o a sudy abroad as a posgraduae exchage sude a he Uversy of Techology Sydey, Ausrala. Each opporuy o ehace my
More informationSolution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs
Aalable a hp://paed/aa Appl Appl Mah ISS: 9-9466 Vol 0 Isse (Deceber 0) pp 04- Applcaos ad Appled Maheacs: A Ieraoal Joral (AAM) Solo o Soe Ope Probles o E-sper Verex Magc Toal Labelg o Graphs G Marh MS
More informationArea and the Definite Integral. Area under Curve. The Partition. y f (x) We want to find the area under f (x) on [ a, b ]
Are d the Defte Itegrl 1 Are uder Curve We wt to fd the re uder f (x) o [, ] y f (x) x The Prtto We eg y prttog the tervl [, ] to smller su-tervls x 0 x 1 x x - x -1 x 1 The Bsc Ide We the crete rectgles
More informationKey words: Fractional difference equation, oscillatory solutions,
OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg
More information