Discontinuity, Nonlinearity, and Complexity

Size: px
Start display at page:

Download "Discontinuity, Nonlinearity, and Complexity"

Transcription

1 Dsonnuy Nonneay an Compey hps://hsenfpubshng.om/jounas/dnc-defau.asp Unvesa Pnpes of Pefe Chaos Segey Kamenshhov Physa Depamen Mosow Sae Unvesy of M.V.omonosov Mosow 999 Russa Submsson Info Communae by Reeve Aepe Avaabe onne Keywos Chaos Despon eavy Nonnea speson Aao Uneanes eaon Absa The pupose of hs wo s o noue s ompehensve efnon of pefe haos o fn ou s bas popees n ems of phase ansons an o gve onneons fo uneanes yng n he base of pefe haos onep. The one as noneemns espon was noue base on wo fomaze neessay an suffen onons: fne esouon of phase spae an nsaby of phase spae aeoes. The popees of Komogoov sysem nung phase mng une ou o be onsequenes of hao sae bu no s ompehensve an suffen onons. Despon eavy was efne as a manaoy popey of pefe haos he same aeas of phase spae may show egua o hao popees epenng on espon of spae - me auay. Aso was foun ou ha fo hao sae wh unfom ffuson nonnea speson aw s a manaoy popey. In s un nonnea speson neessay eas o spae me nsaby of pobaby ensy an appeaane of pobaby aves n phase spae so ae phase spae aaos whee paes ensy gows up. The ase of hao sae wh fe bounay an onsan ffuson was onsee n hs pape. I was pove ha Foue eomposon aows evng eaons beween oonae momenum an me - enegy efnon uneanes. The haos ffuson fao s he ony paamee mng pou of oesponng uneanes whh was pove n hs pape. &H Senf Pubshng C. A ghs eseve.. Pefe haos an eavy Sevea senaos of ubuene anson have been popose sne 883 yea when ubuene onep was noue hough epemens of Engsh engnee Osbone Reynos. He has noe ynam phase anson n qu seam haaeze by unsabe voe appeaane an noue wo m saes of moon: amna an ubuen. Sne sevea senaos of ubuene anson have been eveope. Among hem anau Hopf nsaby mehansm [] oenz aao mehansm [] senao of Ponae Feygebaum [3] an senao of Komogoov - Ano Mose [4]. Eah of oune mehansm has s nvua aea of appaon an bas assumpons. Fo hs eason none of hem s unvesa moeove unambguous onneons beween hem ae no sae ye. Sne nouon of ubuene onep s popees wee nvesgae an geneaze. Fo now oneps of ynam m saes hemseves wee geneaze an ansfome no saes of egua Coesponng auho. Ema aess: amphys@gma.om

2 moon an pefe haos sae. Theefoe eemne moon oespons o amna seam whe pefe haos o ubuen moon sae. e us onse seon m sae - he onep of pefe haos. One s efne as uneemne espon n gven phase spae esouon. Unpeaby of moon s onsequene of wo onons eazaon: a fne esouon of geneaze phase spae; b nsaby of phase spae aeoes. Conep of geneaze phase spae may be epane hough sysem moe onssng of M paes whh have nepenen phase aeoes. If moon of eah pae s eemne n N mensona phase spae hen geneaze phase s M N mensona an oesponng veo w be sysem haaes veo n Hbe spae. If onneons ae noue menson of geneaze spae w be equa o P=M N- whee s numbe of onneon equaons. Then esouon fneness n a eas one eon of geneaze phase spae hen eas o uneany n na ynam sysem sae. Fomay hs onon may be epesene n he foowng way: P mn Hee mn s eemen of esbng geneaze phase spae whe s haaes veo poeon oesponng o eon of Hbe phase spae. If we assume ha mnma uneany s soop mn hen eemenay e voume of geneaze phase spae s epesse n he foowng way: P P mn. mn e s onse seon onon of pefe haos sae une suggeson ha fs one s sasfe. If na any wo sysem pas paes have nsabe aeoes vegng n phase spae eemne ynam espon of he moon omes mpossbe an pefe haos sae s eahe. Insaby equemen may be epesse hough sum of posve yapunov faos fo eah menson of geneaze phase spae: K h h Uneemne haaes aeoy s bas popey of pefe haos sysem whh eas o wo onsequenes. Fs one egas auo oeaon funon of ynam vaue f. Hee sysem evouon s efne by haaes geneaze funon - evese mappng s no snge vaue n genea ase. Aong o Eq. an Eq. g = m f an g = m f ae nepenen funons f an f ae abay ynam funons hen auo oeaon haaes funon R f sasfes Eq.3: m R f = 3 Ths eaon efes ae popey of mng aong o emnoogy noue by G.M. Zasavsy [5]. In fa eazaon of Eq.3 eas o eeuon of Susy eon fo ego sysem: T m R f 4 T T Hee s eay me beween sa an he en of sysem evouon obsevaon. Aong o 4 sysem beomes ego fo. Fo physa sysems hs onon an be foowng epesson: mn ns ns 5 h Hee s fne me esouon whe mn ns s nsaby nemen fo ha may be epesse hough negae yapunov fao Eq.. Sasfaon of h haos onon aows eevng foowng equaons fo any ynam funon n fame of ego espon: T f f f f 6 T

3 3 In gven eaon Г an T ae phase spae voume oupe by phase aeoy ung obsevaon me an obsevaon me sef. Fo negae yapunov fao gven popey aows o oune onsequene of Eq.. h h h 7 h Hee h s ynam enopy of Komogoov Sna ha may be epesse hough enopy of sysem n gven phase spae epesenaon [5]: S Г h 8 Г Quany S n Г s Gbbs enopy of hao sysem wh aoun of fne phase spae esouon an onon Eq.5. Sasfaon of haos onons an eas o manaoy gowh of Gbbs enopy even n ase when oesponen eemns espon s onsevave. Consequenes Eq.3 Eq.6 an Eq.7 fo eaons Eq. an Eq. n fa oespon o efnon of Komogoov sysem [6] sae K sysem une onon ha mn ns. Howeve we have o noe ha K sysem equemens ae neessay bu no suffen fo pefe haos sae PCS obsevaon. I may be usefu o sae anohe quaave popey of PCS espon eavy. As was shown PCS s m sae of ynam sysem haaeze by popees oune beow: P 9 mn K h h Sasfaon nequay epens on he espon paamees mn an h. Aong o Eq.9 an Eq. magnue of hese paamees may ea o oppose m saes. They ae pefe haos sae PCS an egua sae RS. e s onse eampe of physa sysem. Then fneness of mn s pove by quanum uneany eaons. In genea ase mn s funon of me esouon: mn = f mn. Fne magnue of mn aows o eave one ono paamee - negae yapunov fao. Theefoe egua sae of sysem w be epesene by goup of Eq. an Eq.: P mn h h K Seon eaon onans me as paamee. In suh a way geneay anson beween wo m saes may ou a any nsan of me. If evouon of physa sysem n gven geneaze phase spae s epesene by onsequene of egua saes an oesponng ansons an be efne as quasegua sae of moon QRS. Tanson beween wo egua aeoes m yes s eaze hough hao saes. Aong o emnoogy of G.M.Zasavsy [7] n phase spae suh ype of moon s epesene by sohas sea wh saby sans. Tme eay of wo onsequen ansons R R an R R aso ae bfuaons n genea s funon of me paamee an mn : mn. 3 e s onse phase aeoy n hee geneaze phase spaes an suh ha 3 mn mn mn. Then he same phase aeoy 3 epesene hough an w have ffeen faons of egua sae saby sans an ansona sae pefe haos. Phenomenon of espon eavy s epane by Fg. a an Fg. b whee wo mensona phase spaes ae suppose o have unfom esouon. Eah sysem ynam sae s epesene as pon nse oesponng e whh ms phase spae uneany. Tansons beween enumeae saes ae symboay esgnae as sagh ne we on ae no aoun phase ways of oesponng bfuaons. In gven fgue he same segmens 3 an 5 of phase aeoes ae efne as hao moon - Fg. a o quasegua moon - Fg. b - wh fne fe me quas egua aeoes symboay shown n Fg. b nse age es. In genea uaon of sysem esene.e. fe me = 8 n any maosop ynam sae s abay. Regua moon appeaane may ea o spae - me

4 4 sabzaon of sysem. If sabzaon ous fo sae hen. In ohe ase uen sabzaon s empoay an quas apue s eaze [7]. In hs ase egua aeoy s sabe ung fne me engh. Afe hs me quas egua ous omes unsabe efoms an may fnay sappea. Fg.. a phase spae epesenaon. Chao phase aeoy ; b phase spae epesenaon. Quas apues n segmens 3 an 5 egua moon aeas wh fne fe me quas egua saby sans. Hoow es upaes sae pons n phase spae epesenaon. Inease of geneaze phase spae esouon may ea o appeaane of new quas egua aeas o ovea spae - me sabzaon of aeoy. In fs ase some poon of paes n es epesenaon of oasene esouon uns ou o ansfom no ouses wh fne o nfne fe me. One s efne by oa me of sysem obsevaon nfne fe me w oespon n hs ase sabe esene of egua aea ung a obsevaon me. As we an see spae me eavy aows eevng quaavey ffeen hao egua popees fo he same pa of gven ynam sysem.. Nonneay as manaoy popey of pefe haos In equaon 3 evng we use popey of nepenene fo abay ynam funons f an f f mn ns. e s assume ha onsee sysem onsss of M subsysems paes haaeze by oesponng pobaby enses M = M. Then f f fo pefe haos sysem we have geneaze Eq.3: m C Hee C s oeaon funon. Eq. may be ae oeaon eay o sysem memoy oss. One of appoahes appe fo haaezaon of ansona popees n gven fame s base on Foe - Pan - Komogoov moe [8]. One aows obanng bas equaon of anspo fom Chapman - Komogoov Eq.3. P Inegaon s mae fo phase voume oupe by sysem phase aeoy. Uppe nees of haaes veo oespon o onsequen me momens 3 : 3. Funon 3 s onona pobaby ensy wh fe na onon. e s ea bas assumpons mae fo evaon of Foe - Pan Komogoov equaon [8]. 3

5 5.. Gven onon means ha pobaby of bfuaon oesn epen on absoue magnue of na me pon: ns mn. Ths maon s sasfe f Eq. Eq. an Eq.5 fo haos ae va. Eq.5 s eaze neessay f we spea abou fome nsaby;. - fna onona pobaby ensy oesn epen on he na oonae veo. In ems of haaes geneaze funon hs onon s va as we fo he easons gven n Pon ; 3.. Fo fne phase spae e an me aoun hs epesson an be eaze fo mn an mn ; 4. Ina sbuon ensy s efne by Da ea funon:.e. na oonae an be efne auaey n fame of phase spae fne esouon Da ea funon oespons o eangua funon; 5. '' ' b a. Hee fo esene of seon evave of Da funon s neessay fo o sasfy foowng onon: mn n fame of ean esouon phase spae. Coeffens a an b ae efne by eaons 4 an 5: a 4 b 5 On bass of eaon 5 seon anspo oeffen an be noue: mn m 6 Gven assumpons aow o fomuae nown no paame fom of Foe Pan Komogoov equaon FPK equaon: 7 I an be shown ha n Eq.6 an Eq.7 me s hen paamee [8]. e s epesen enegy of sysem mass un: mn 8 Aong o Eq.7 seon anspo fao an be epesse n he mofe fom of Eq.9 - supesps ae ome. mn mn mn 9 In Eq.8 ae geneay nepenen agumens fo enegy epesson. Inee beause of phase aeoy mng Eq.3 spef enegy an oonae may no have muua oesponene. Then fo onona pobaby ensy we have mofe equaon: '' ' b a

6 6 A he same me evave of pobaby an be epesene usng Chapman Komogoov Eq. n he foowng way: m In hs equaon s ansona pobaby ensy. Subsuon of Eq. no Eq. gves eene FPK equaon EFPK [8]: Vaaon of suh ha mn aows epesenng equaon 9 n asympo fom fo an eevng abnoma anspo equaon: ' 3 Roo eaon of equaon boh pas eas o aw of abnoma ffuson [9]: D 4 In hs eaon D s anomaous ffuson fao. Taonay abnoma ffuson aw s epane afay noung faa FPK equaon FFPK [9]. e s onse unfom sae fo aveage haaes enegy of hao sysem: f. Eq.9 aows eevng oesponen fom of anspo oeffen: mn f. In hs ase Foue eomposon of one mensona oa EFPK Eq. may be epesene n he foowng way: ep ep P 5 Hee s oesponng mofe anspo oeffen fo menson. Ampues of Foue eomposon ae oune hough Eq.6 an Eq.7: ep 6 T ep 7 Seon Foue eomposon gves eaons Eq.8 an Eq.9 wh equvaen opeao s enes ' : ep ' 8 K K ep ' 9 Inegas ms ae efne aong o Koenov heoem: mn mn K. Subsuon of Eq.8 an Eq.9 no equaon Eq.5 gves wave pae fom: ep ' ep ' 3 Genea abaness of negaon ms fnay aows epesenng aw: 3

7 7 As foows fom oune epesson nonnea speson aw of Eq.3 s manaoy popey of unfom hao sae. Aoaon of ea pa eas o Eq.3: Im Re Im Re Re 3 Re an Posveness of physay measue quanes Re aows eevng foowng popey of ompe wave numbe: Im. Hee posveness of spef enegy an onsequeny anspo oeffen ae aen no aoun. Fs Foue eomposon of pobaby ensy hen an be gven by Eq.33: epim ep Re 33 Hee Im as posve spae nemen shows esene of spae nsaby fo pobaby ensy ampue. e s onse he magnay eaon fo boh pas of Eq.3: Im Im Re 34 Posveness of me nemen shows me nsaby of pobaby ensy: ep Re ep 35 As we see spae me nsaby of pobaby ensy s efne by manaoy nonnea speson aw of Eq.3 of hao sysem. Gven nsaby eas o appeaane of pobaby aves n phase spae - phase spae aaos whee paes ensy gows up. Ths poess onnues up o he momen when spef enegy an anspo fao aheves spae nhomogeney:. Sne ha oa EFPK equaon has o be onsee n genea fom of Eq.. 3. Uneany eaon of phase sae I was menone above ha wo possbe ypes of phase aeoes ae possbe n fame of haaes veo espon: beon an muvaue mappng. Eah ype s haaeze by spef enegy n fom of an oesponngy. Gven vson aows noung quaave popees of ynam sysem basng on anspo paamee mn. We sha esgnae phase saes as beon saes of onsan aveage enegy.e. enegy whou ep me epenene. Then muvaue mappng oespons o ansona moon wh phase aeoy mng. Appeaane of ansona sae s efne by fs eun of haaes veo. Phase ansons ae esbe by EFPK Eq.. In ems of ffuson faos gven ypes of moon ae aso esgnae as noma an abnoma ffuson [9]. e s onse ase of unfom phase sae wh fe bounay: ons ons. Ths phenomenon appeas une onon of phase spae me saby of pobaby avy as was shown n Seon II. Despon of oesponng sysem sae an be eaze n fame of noma ffuson FPK Eq.7 fo fe me of phase sae: f f nea ffuson equaon:. Fo seee menson we an epesen Eq.7 as unfom f f 36 Souon an be seahe n fom of Foue epanson sees Eq.37 Eq.38 whh sasfes bounay onon an na sae:. N sn 37

8 8 sn 38 Subsuon of 37 no 36 gves Eq.39 Eq.4 fo Foue oeffens: sn N 39 4 Coesponng vaues of anspo fao ae epesene by Eq.4: 4 Aong o Eq.4 oeffens sasfes foowng onon: ons.consequeny fo we have: ep. Tang no aoun Eq.9 fo aveage spef enegy we have go foowng epesson fo see enegy speum: mn 4 e s esgnae mn hen fo enegy evave we have Eq.43 gven beow Une onons of fne phase spae an me esouon Eq. Eq.5 fo hao sysem we an mofy gven eaon no fom of Eq.44: 3 44 Fo ynam espon wh pefe auay na pobaby ensy s epesene as Da funon Seon II Iem 4: 45 In vny of poeon of haaes veo s beon. Nomazaon onon fo hen an be epesene n he foowng way: / 46 Da funona s epesene hee hough me agumen. Ine oespons o zeos of funon. In onsee ase we have ony one vaue of agumen oesponng o zeo -. Then Eq.46 an be mofe n he foowng way: / / / m T 47

9 9 As we an see n vny of spae - me beon aows noung pobaby ensy oesponene: sgn / 48 Fne spae - me esouon aows subsuon of Dea funon by s see aenave eangua puse. Whou oosng of geneay we may assume ha : C mn mn Aong o nomazaon onon oeffens C an C an be epesse n he foowng way: C C. mn mn Fo gven veo puse eaon onneng haaes wh of speum an puse wh an be wen n he foowng way: 5 Subsuon of Eq.44 no Eq.5 gves Eq One aows eevng onneon beween enegy an me esouon Eq.5. 5 Hee wh aoane o Eq.37 wave numbe Epesson fo auay funon s epesene beow: Then eaon 5 an be mofe n foowng way: s noue. C 4 mn mn mn Hee s mnma anspo fao fo menson. In fame of ffuson epesenaon Eq.54 an mn be epesene n gven fom owe nees ae ome: 55 Hee D s mnma ffuson fao fo menson of phase sae. e s eeve onneon beween spae an me uneanes. Sasfaon of egoy onon fo hao sae aows gves aby o mofy Eq.9: T T 56 T Uppe unesoe hee means me aveagng. Spae me nepenene of phase sae eas o spae nepenene n. Fo abaness of negaon me hs means ha eaon 56 an be smpfe n he foowng way: 57 D mn

10 Fne ffeena fo enegy hen an be epesse hough momenum: p p. Subsuon of gven eaon n Eq.55 aows eevng ffeena equaon fo momenum: Momenum s epesse n fne fom: p onneon beween p an : p p 4 D 58. Subsuon of hs epesson n Eq.58 gves p 59 4 ess s fom of eaon 59 aows unfom epesenng of Eq.59 an Eq.55 gven beow. D D p 6 6 Eq.6 an Eq.6 show onneons beween uneanes of oonae momenum an me - enegy efnon oesponngy. I may be usefu o noe ha any of gven uneanes may be eemne as oesponng sana evaons: p. REFERENCES p. anau.d an vshs E.M. 7 Hyoynams Fsma Russa: Mosow oenz E. 98 Deemns nonpeo moon Sange aaos: Mosow. 3. Fegenbaum M.J. 979 The unvesa me popees of nonnea ansfomaons Jouna of Sasa Physs Mose J. 96 On nvaan uves of aea pesevng mappngs on an annuus Nah. Aa. Wss. Goengen Mah. Phys Zasavsy G.M. Sageev R.Z. 988 Inouon o nonnea physs: fom he penuum o ubuene an haos Naua: Mosow Zasavsy G.M. Sageev R.Z. 988 Inouon o nonnea physs: fom he penuum o ubuene an haos Naua: Mosow Zasavsy G.M. 7 The physs of haos n Hamonan sysems Impea Coege Pess: onon Kamenshhov S.A. 3 Eene founaons of sohas peon Communaons n nonnea sene an numea smuaon CNSNS-D--496 une evew subme on Aug.. Ogna pape n Av - hp://av.og/abs/ Zasavsy G.M. 7 The physs of haos n Hamonan sysems Impea Coege Pess: onon 5-5. D

Name of the Student:

Name of the Student: Engneeng Mahemacs 05 SUBJEC NAME : Pobably & Random Pocess SUBJEC CODE : MA645 MAERIAL NAME : Fomula Maeal MAERIAL CODE : JM08AM007 REGULAION : R03 UPDAED ON : Febuay 05 (Scan he above QR code fo he dec

More information

2 shear strain / L for small angle

2 shear strain / L for small angle Sac quaons F F M al Sess omal sess foce coss-seconal aea eage Shea Sess shea sess shea foce coss-seconal aea llowable Sess Faco of Safe F. S San falue Shea San falue san change n lengh ognal lengh Hooke

More information

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( ) 5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma

More information

The sound field of moving sources

The sound field of moving sources Nose Engneeng / Aoss -- ong Soes The son el o mong soes ong pon soes The pesse el geneae by pon soe o geneal me an The pess T poson I he soe s onenae a he sngle mong pon, soe may I he soe s I be wen as

More information

Rotations.

Rotations. oons j.lbb@phscs.o.c.uk To s summ Fmes of efeence Invnce une nsfomons oon of wve funcon: -funcons Eule s ngles Emple: e e - - Angul momenum s oon geneo Genec nslons n Noehe s heoem Fmes of efeence Conse

More information

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr.

Modern Energy Functional for Nuclei and Nuclear Matter. By: Alberto Hinojosa, Texas A&M University REU Cyclotron 2008 Mentor: Dr. Moden Enegy Funconal fo Nucle and Nuclea Mae By: lbeo noosa Teas &M Unvesy REU Cycloon 008 Meno: D. Shalom Shlomo Oulne. Inoducon.. The many-body poblem and he aee-fock mehod. 3. Skyme neacon. 4. aee-fock

More information

Nanoparticles. Educts. Nucleus formation. Nucleus. Growth. Primary particle. Agglomeration Deagglomeration. Agglomerate

Nanoparticles. Educts. Nucleus formation. Nucleus. Growth. Primary particle. Agglomeration Deagglomeration. Agglomerate ucs Nucleus Nucleus omaon cal supesauaon Mng o eucs, empeaue, ec. Pmay pacle Gowh Inegaon o uson-lme pacle gowh Nanopacles Agglomeaon eagglomeaon Agglomeae Sablsaon o he nanopacles agans agglomeaon! anspo

More information

Silence is the only homogeneous sound field in unbounded space

Silence is the only homogeneous sound field in unbounded space Cha.5 Soues of Sound Slene s he onl homogeneous sound feld n unbounded sae Sound feld wh no boundaes and no nomng feld 3- d wave equaon whh sasfes he adaon ondon s f / Wh he lose nseon a he on of = he

More information

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay)

Sections 3.1 and 3.4 Exponential Functions (Growth and Decay) Secions 3.1 and 3.4 Eponenial Funcions (Gowh and Decay) Chape 3. Secions 1 and 4 Page 1 of 5 Wha Would You Rahe Have... $1million, o double you money evey day fo 31 days saing wih 1cen? Day Cens Day Cens

More information

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 2

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 2 Joh Rley Novembe ANSWERS O ODD NUMBERED EXERCISES IN CHAPER Seo Eese -: asvy (a) Se y ad y z follows fom asvy ha z Ehe z o z We suppose he lae ad seek a oado he z Se y follows by asvy ha z y Bu hs oads

More information

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard

The shortest path between two truths in the real domain passes through the complex domain. J. Hadamard Complex Analysis R.G. Halbud R.Halbud@ucl.ac.uk Depamen of Mahemaics Univesiy College London 202 The shoes pah beween wo uhs in he eal domain passes hough he complex domain. J. Hadamad Chape The fis fundamenal

More information

1.050 Engineering Mechanics I. Summary of variables/concepts. Lecture 27-37

1.050 Engineering Mechanics I. Summary of variables/concepts. Lecture 27-37 .5 Engneeng Mechancs I Summa of vaabes/concepts Lectue 7-37 Vaabe Defnton Notes & ments f secant f tangent f a b a f b f a Convet of a functon a b W v W F v R Etena wok N N δ δ N Fee eneg an pementa fee

More information

c- : r - C ' ',. A a \ V

c- : r - C ' ',. A a \ V HS PAGE DECLASSFED AW EO 2958 c C \ V A A a HS PAGE DECLASSFED AW EO 2958 HS PAGE DECLASSFED AW EO 2958 = N! [! D!! * J!! [ c 9 c 6 j C v C! ( «! Y y Y ^ L! J ( ) J! J ~ n + ~ L a Y C + J " J 7 = [ " S!

More information

Lecture 17: Kinetics of Phase Growth in a Two-component System:

Lecture 17: Kinetics of Phase Growth in a Two-component System: Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien

More information

Chapter 6 Plane Motion of Rigid Bodies

Chapter 6 Plane Motion of Rigid Bodies Chpe 6 Pne oon of Rd ode 6. Equon of oon fo Rd bod. 6., 6., 6.3 Conde d bod ced upon b ee een foce,, 3,. We cn ume h he bod mde of e numbe n of pce of m Δm (,,, n). Conden f he moon of he m cene of he

More information

s = rθ Chapter 10: Rotation 10.1: What is physics?

s = rθ Chapter 10: Rotation 10.1: What is physics? Chape : oaon Angula poson, velocy, acceleaon Consan angula acceleaon Angula and lnea quanes oaonal knec enegy oaonal nea Toque Newon s nd law o oaon Wok and oaonal knec enegy.: Wha s physcs? In pevous

More information

1 Constant Real Rate C 1

1 Constant Real Rate C 1 Consan Real Rae. Real Rae of Inees Suppose you ae equally happy wh uns of he consumpon good oday o 5 uns of he consumpon good n peod s me. C 5 Tha means you ll be pepaed o gve up uns oday n eun fo 5 uns

More information

New Mexico Tech Hyd 510

New Mexico Tech Hyd 510 New Meo eh Hy 5 Hyrology Program Quanave Mehos n Hyrology Noe ha for he sep hange problem,.5, for >. he sep smears over me an, unlke he ffuson problem, he onenraon a he orgn hanges. I s no a bounary onon.

More information

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1

CptS 570 Machine Learning School of EECS Washington State University. CptS Machine Learning 1 ps 57 Machne Leann School of EES Washnon Sae Unves ps 57 - Machne Leann Assume nsances of classes ae lneal sepaable Esmae paamees of lnea dscmnan If ( - -) > hen + Else - ps 57 - Machne Leann lassfcaon

More information

In accordance with Regulation 21(1), the Agency has notified, and invited submissions &om, certain specified

In accordance with Regulation 21(1), the Agency has notified, and invited submissions &om, certain specified hef xeuve Offe Wesen Regonal Fshees Boad The We odge al s odge Galway 6 June 2009 Re Dea S nvonmenal Poeon Ageny An Ghnwmhomoh un Oloomhnll omhshd Headquaes. PO Box 000 Johnsown asle sae ouny Wexfod, eland

More information

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings.

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings. T H S PA G E D E CLA SSFED AW E O 2958 RS u blc Recod Key fo maon Ma n AR MATEREL COMM ND D cumen Type Call N u b e 03 V 7 Rcvd Rel 98 / 0 ndexe D 38 Eneed Dae RS l umbe 0 0 4 2 3 5 6 C D QC d Dac A cesson

More information

Exponential and Logarithmic Equations and Properties of Logarithms. Properties. Properties. log. Exponential. Logarithmic.

Exponential and Logarithmic Equations and Properties of Logarithms. Properties. Properties. log. Exponential. Logarithmic. Eponenial and Logaihmic Equaions and Popeies of Logaihms Popeies Eponenial a a s = a +s a /a s = a -s (a ) s = a s a b = (ab) Logaihmic log s = log + logs log/s = log - logs log s = s log log a b = loga

More information

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes]

ENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes] ENGI 44 Avance alculus fo Engineeing Faculy of Engineeing an Applie cience Poblem e 9 oluions [Theoems of Gauss an okes]. A fla aea A is boune by he iangle whose veices ae he poins P(,, ), Q(,, ) an R(,,

More information

Several Intensive Steel Quenching Models for Rectangular and Spherical Samples

Several Intensive Steel Quenching Models for Rectangular and Spherical Samples Recen Advances n Fud Mecancs and Hea & Mass ansfe Sevea Inensve See Quencng Modes fo Recangua and Speca Sampes SANDA BLOMKALNA MARGARIA BUIKE ANDRIS BUIKIS Unvesy of Lava Facuy of Pyscs and Maemacs Insue

More information

EE 410/510: Electromechanical Systems Chapter 3

EE 410/510: Electromechanical Systems Chapter 3 EE 4/5: Eleomehnl Syem hpe 3 hpe 3. Inoon o Powe Eleon Moelng n Applon of Op. Amp. Powe Amplfe Powe onvee Powe Amp n Anlog onolle Swhng onvee Boo onvee onvee Flyb n Fow onvee eonn n Swhng onvee 5// All

More information

calculating electromagnetic

calculating electromagnetic Theoeal mehods fo alulang eleomagne felds fom lghnng dshage ajeev Thoapplll oyal Insue of Tehnology KTH Sweden ajeev.thoapplll@ee.kh.se Oulne Despon of he poblem Thee dffeen mehods fo feld alulaons - Dpole

More information

( ) exp i ω b ( ) [ III-1 ] exp( i ω ab. exp( i ω ba

( ) exp i ω b ( ) [ III-1 ] exp( i ω ab. exp( i ω ba THE INTEACTION OF ADIATION AND MATTE: SEMICLASSICAL THEOY PAGE 26 III. EVIEW OF BASIC QUANTUM MECHANICS : TWO -LEVEL QUANTUM SYSTEMS : The lieaue of quanum opics and lase specoscop abounds wih discussions

More information

On Fractional Operational Calculus pertaining to the product of H- functions

On Fractional Operational Calculus pertaining to the product of H- functions nenonl eh ounl of Enneen n ehnolo RE e-ssn: 2395-56 Volume: 2 ue: 3 une-25 wwwene -SSN: 2395-72 On Fonl Oeonl Clulu enn o he ou of - funon D VBL Chu, C A 2 Demen of hem, Unve of Rhn, u-3255, n E-ml : vl@hooom

More information

Chapter 3: Vectors and Two-Dimensional Motion

Chapter 3: Vectors and Two-Dimensional Motion Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon

More information

t the propensity to consume the resource good. Maximizing U t in (9) subject to the budget constraint (8) yields

t the propensity to consume the resource good. Maximizing U t in (9) subject to the budget constraint (8) yields ISB 978-9-84468-8-5 Innaonal Confn on Issus n Busnss onoms Mang an Mamas (IBMM-6) Sngapo 5-6 6 Busnss Cls Capal nvonmn an Rnabl Rsous W-Bn Zang Rsuman Asa Paf Unvs Bppu-s Japan Absa: Ts pap nfs busnss

More information

SAVE THESE INSTRUCTIONS

SAVE THESE INSTRUCTIONS SAVE ESE NSUNS FFEE AE ASSEMY NSUNS SYE #: 53SN2301AS ASSEME N A FA, PEED SUFAE PPS EAD SEWDVE NEEDED F ASSEMY; N NUDED PA S FGUE UANY DESPN AA 1 P P 1 P EF SDE FAME 1 P G SDE FAME D 1 P A PANE E 2 PS

More information

Lecture 5. Plane Wave Reflection and Transmission

Lecture 5. Plane Wave Reflection and Transmission Lecue 5 Plane Wave Reflecon and Tansmsson Incden wave: 1z E ( z) xˆ E (0) e 1 H ( z) yˆ E (0) e 1 Nomal Incdence (Revew) z 1 (,, ) E H S y (,, ) 1 1 1 Refleced wave: 1z E ( z) xˆ E E (0) e S H 1 1z H (

More information

Lightning return stroke current reconstruction or vertical and variable channel shape

Lightning return stroke current reconstruction or vertical and variable channel shape nenaona Confeene on Lgnng oeon (CL) Sanga Cna Lgnng eun soe uen eonsuon o vea and vaabe anne sape Ande Cean Adan oos Dan D. Mu Son Spnean Levene Cumb Depamen of ea ngneeng Depamen of Maemas Tena Unves

More information

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation Lecue 8: Kineics of Phase Gowh in a Two-componen Sysem: geneal kineics analysis based on he dilue-soluion appoximaion Today s opics: In he las Lecues, we leaned hee diffeen ways o descibe he diffusion

More information

ECON 3710/4710 Demography of developing countries STABLE AND STATIONARY POPULATIONS. Lecture note. Nico Keilman

ECON 3710/4710 Demography of developing countries STABLE AND STATIONARY POPULATIONS. Lecture note. Nico Keilman ECON 37/47 Demogaphy of deveoping counies STAE AND STATIONARY POPUATIONS ecue noe Nico Keiman Requied eading: Sabe and saionay modes Chape 9 in D Rowand Demogaphic Mehods and Conceps Ofod Univesiy Pess

More information

Control Volume Derivation

Control Volume Derivation School of eospace Engineeing Conol Volume -1 Copyigh 1 by Jey M. Seizman. ll ighs esee. Conol Volume Deiaion How o cone ou elaionships fo a close sysem (conol mass) o an open sysem (conol olume) Fo mass

More information

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova

I-POLYA PROCESS AND APPLICATIONS Leda D. Minkova The XIII Inenaonal Confeence Appled Sochasc Models and Daa Analyss (ASMDA-009) Jne 30-Jly 3, 009, Vlns, LITHUANIA ISBN 978-9955-8-463-5 L Sakalaskas, C Skadas and E K Zavadskas (Eds): ASMDA-009 Seleced

More information

PRACE NAUKOWE POLITECHNIKI WARSZAWSKIEJ z. 116 Elektryka 2001

PRACE NAUKOWE POLITECHNIKI WARSZAWSKIEJ z. 116 Elektryka 2001 PRACE AUKOWE POLITECHIKI WARZAWKIEJ z. 6 Elekyka Romual Małek Zespół Maemayk Fzyk Woe Ubańsk Insyu Maszyn Elekyzny PROBLEM OF TEMPERATURE FIELD MODULATIO OF IDUCTIO MOTOR COOLED BY THE FIRT ORDER OLID

More information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION HAPER : LINEAR DISRIMINAION Dscmnan-based lassfcaon 3 In classfcaon h K classes ( k ) We defned dsmnan funcon g () = K hen gven an es eample e chose (pedced) s class label as f g () as he mamum among g

More information

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1)

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1) Pendulum Dynams Consder a smple pendulum wh a massless arm of lengh L and a pon mass, m, a he end of he arm. Assumng ha he fron n he sysem s proporonal o he negave of he angenal veloy, Newon s seond law

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical 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 information

8.5 Circles and Lengths of Segments

8.5 Circles and Lengths of Segments LenghofSegmen20052006.nb 1 8.5 Cicle and Lengh of Segmen In hi ecion we will how (and in ome cae pove) ha lengh of chod, ecan, and angen ae elaed in ome nal way. We will look a hee heoem ha ae hee elaionhip

More information

Caputo Equations in the frame of fractional operators with Mittag-Leffler kernels

Caputo Equations in the frame of fractional operators with Mittag-Leffler kernels nvenon Jounl o Reseh Tehnoloy n nneen & Mnemen JRTM SSN: 455-689 wwwjemom Volume ssue 0 ǁ Ooe 08 ǁ PP 9-45 Cuo uons n he me o onl oeos wh M-ele enels on Qn Chenmn Hou* Ynn Unvesy Jln Ynj 00 ASTRACT: n

More information

Physics 201 Lecture 15

Physics 201 Lecture 15 Phscs 0 Lecue 5 l Goals Lecue 5 v Elo consevaon of oenu n D & D v Inouce oenu an Iulse Coens on oenu Consevaon l oe geneal han consevaon of echancal eneg l oenu Consevaon occus n sses wh no ne eenal foces

More information

COMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2

COMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2 COMPUTE SCIENCE 49A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PATS, PAT.. a Dene he erm ll-ondoned problem. b Gve an eample o a polynomal ha has ll-ondoned zeros.. Consder evaluaon o anh, where e e anh. e e

More information

Time-Space Model of Business Fluctuations

Time-Space Model of Business Fluctuations Time-Sace Moel of Business Flucuaions Aleei Kouglov*, Mahemaical Cene 9 Cown Hill Place, Suie 3, Eobicoke, Onaio M8Y 4C5, Canaa Email: Aleei.Kouglov@SiconVieo.com * This aicle eesens he esonal view of

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

Millennium Theory Equations Original Copyright 2002 Joseph A. Rybczyk Updated Copyright 2003 Joseph A. Rybczyk Updated March 16, 2006

Millennium Theory Equations Original Copyright 2002 Joseph A. Rybczyk Updated Copyright 2003 Joseph A. Rybczyk Updated March 16, 2006 Millennim heoy Eqaions Oiginal Copyigh 00 Joseph A. Rybzyk Updaed Copyigh 003 Joseph A. Rybzyk Updaed Mah 6, 006 Following is a omplee lis o he Millennim heoy o Relaiviy eqaions: Fo easy eeene, all eqaions

More information

Modal Analysis of Periodically Time-varying Linear Rotor Systems using Floquet Theory

Modal Analysis of Periodically Time-varying Linear Rotor Systems using Floquet Theory 7h IFoMM-Confeene on Roo Dynams Venna Ausa 25-28 Sepembe 2006 Modal Analyss of Peodally me-vayng Lnea Roo Sysems usng Floque heoy Chong-Won Lee Dong-Ju an Seong-Wook ong Cene fo Nose and Vbaon Conol (NOVIC)

More information

FI 2201 Electromagnetism

FI 2201 Electromagnetism F Eectomagnetism exane. skana, Ph.D. Physics of Magnetism an Photonics Reseach Goup Magnetostatics MGNET VETOR POTENTL, MULTPOLE EXPNSON Vecto Potentia Just as E pemitte us to intouce a scaa potentia V

More information

Some Analytic Results for the Study of Broadband Noise Radiation from Wings, Propellers and Jets in Uniform Motion *

Some Analytic Results for the Study of Broadband Noise Radiation from Wings, Propellers and Jets in Uniform Motion * Some Analy Resuls fo he Suy of Boaban Nose Raaon fom Wngs Poelles an Jes n Unfom oon *. aassa an J. Case NASA Langley Reseah Cene Hamon gna Absa Alan Powell has mae sgnfan onbuons o he unesanng of many

More information

Model of the Feeding Process of Anisotropic Warp Knitted Fabrics

Model of the Feeding Process of Anisotropic Warp Knitted Fabrics Zgnew Mo³ajczy Technca Unvesy of ódÿ Insue of Knng Technoogy and Sucue of Kned oducs u. eomsego 6 90-54 ódÿ oand Mode of he Feedng ocess of Ansooc Wa Kned Facs Asac The mode of he feedng ocess of ansooc

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ

More information

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION

STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION Inenaional Jounal of Science, Technology & Managemen Volume No 04, Special Issue No. 0, Mach 205 ISSN (online): 2394-537 STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE

More information

APPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS

APPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS Joa of Aed Mahema ad Comaoa Meha 4 3( 6-73 APPLCATON OF A Z-TRANSFORMS METHOD FOR NVESTGATON OF MARKOV G-NETWORKS Mha Maay Vo Nameo e of Mahema Ceohowa Uey of Tehoogy Cęohowa Poad Fay of Mahema ad Come

More information

A note on characterization related to distributional properties of random translation, contraction and dilation of generalized order statistics

A note on characterization related to distributional properties of random translation, contraction and dilation of generalized order statistics PobSa Foum, Volume 6, July 213, Pages 35 41 ISSN 974-3235 PobSa Foum is an e-jounal. Fo eails please visi www.pobsa.og.in A noe on chaaceizaion elae o isibuional popeies of anom anslaion, conacion an ilaion

More information

Backcalculation Analysis of Pavement-layer Moduli Using Pattern Search Algorithms

Backcalculation Analysis of Pavement-layer Moduli Using Pattern Search Algorithms Bakallaon Analyss of Pavemen-laye Modl Usng Paen Seah Algohms Poje Repo fo ENCE 74 Feqan Lo May 7 005 Bakallaon Analyss of Pavemen-laye Modl Usng Paen Seah Algohms. Inodon. Ovevew of he Poje 3. Objeve

More information

& Hydrofoil Cavitation Bubble Behavior and Noise

& Hydrofoil Cavitation Bubble Behavior and Noise The 3nd Inenaona Congess and Eoson on Nose Cono Engneeng Jeju Inenaona Convenon Cene Seogwo Koea Augus 5-8 3 [N689] Pedon o Undewae Poee Nose Hydoo Cavaon Bue Behavo and Nose Fs Auho: Hanshn Seo Cene o

More information

COPYRIGHT NOTICE: For COURSE PACK PERMISSIONS, refer to entry on previous menu. For more information, send to

COPYRIGHT NOTICE: For COURSE PACK PERMISSIONS, refer to entry on previous menu. For more information, send  to COPYRT NOTCE: TRBBE: Pnceon ue o Avance Physcs s publshe by Pnceon Unvesy Pess an copyghe, (c) 996, by Pnceon Unvesy Pess. All ghs eseve. Ths ex may be use an shae n accoance wh he fa-use povsons of US

More information

ON VERTICAL ANALYSIS OF RAILWAY TRACK VIBRATIONS

ON VERTICAL ANALYSIS OF RAILWAY TRACK VIBRATIONS THE PUBLISHING HOUSE PROCEEINGS OF THE ROMANIAN ACAEMY See A OF THE ROMANIAN ACAEMY Volume Nume / pp. 56 6 ON VERTICAL ANALYSIS OF RAILWAY TRACK VIBRATIONS Taan MAZILU Măălna UMITRIU Cna TUORACHE Mea SEBEŞAN

More information

Analysis of cable membrane structures using the Dynamic Relaxation Method

Analysis of cable membrane structures using the Dynamic Relaxation Method Poceedngs of e 9 Inenaona Confeence on Sucua Dynamcs, UODYN 4 Poo, Pouga, June - Juy 4 A. Cuna,. Caeano, P. beo, G. üe (eds.) ISSN: -9; ISBN: 978-97-75-65-4 Anayss of cabe membane sucues usng e Dynamc

More information

MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH

MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH Fundamenal Jounal of Mahemaical Phsics Vol 3 Issue 013 Pages 55-6 Published online a hp://wwwfdincom/ MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH Univesias

More information

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9 C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

Homework 1 Solutions CSE 101 Summer 2017

Homework 1 Solutions CSE 101 Summer 2017 Homewok 1 Soutions CSE 101 Summe 2017 1 Waming Up 1.1 Pobem and Pobem Instance Find the smaest numbe in an aay of n integes a 1, a 2,..., a n. What is the input? What is the output? Is this a pobem o a

More information

_ =- 314 TH / 3 RD 60M AR M NT GROUP C L) _. 5 TH AIR F0 RCE ` Pl R?N ]9. ia UNIT, - _ : --.

_ =- 314 TH / 3 RD 60M AR M NT GROUP C L) _. 5 TH AIR F0 RCE ` Pl R?N ]9. ia UNIT, - _ : --. H OR UN UN4 Q NOV 99 O ^ 0 342g = o 3 RD 60M AR M N GROUP ) = 34 H q 5 H AR F0 RE P R?N ]9 9 B UA DA Q N0U 99 n > o > 4 = H PAGE DEAFED AW E0 2958 R2 R g 8 B B F 0 328 p NOV 99 DA 3 9 9 3 ne o B o O o

More information

Computer Propagation Analysis Tools

Computer Propagation Analysis Tools Compue Popagaion Analysis Tools. Compue Popagaion Analysis Tools Inoducion By now you ae pobably geing he idea ha pedicing eceived signal sengh is a eally impoan as in he design of a wieless communicaion

More information

Variance of Time to Recruitment for a Single Grade Manpower System using Order Statistics for Inter-decision Times and Wastages

Variance of Time to Recruitment for a Single Grade Manpower System using Order Statistics for Inter-decision Times and Wastages Vaance o e o Recuen o a Sne Gae Manowe Syse usn Oe Sascs o Ine-ecson es an Wasaes K. Eanovan, B. Ese Caa Asssan Poesso, Deaen o Maeacs, Rajah Seoj Govenen Coee Auonoous, hanjavu - 6 005, a Nau, Ina. Asssan

More information

L4:4. motion from the accelerometer. to recover the simple flutter. Later, we will work out how. readings L4:3

L4:4. motion from the accelerometer. to recover the simple flutter. Later, we will work out how. readings L4:3 elave moon L4:1 To appl Newon's laws we need measuemens made fom a 'fed,' neal efeence fame (unacceleaed, non-oang) n man applcaons, measuemens ae made moe smpl fom movng efeence fames We hen need a wa

More information

EMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions

EMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions EMA5 Lecue 3 Seady Sae & Noseady Sae ffuso - Fck s d Law & Soluos EMA 5 Physcal Popees of Maeals Zhe heg (6) 3 Noseady Sae ff Fck s d Law Seady-Sae ffuso Seady Sae Seady Sae = Equlbum? No! Smlay: Sae fuco

More information

4/3/2017. PHY 712 Electrodynamics 9-9:50 AM MWF Olin 103

4/3/2017. PHY 712 Electrodynamics 9-9:50 AM MWF Olin 103 PHY 7 Eleodnais 9-9:50 AM MWF Olin 0 Plan fo Leue 0: Coninue eading Chap Snhoon adiaion adiaion fo eleon snhoon deies adiaion fo asonoial objes in iula obis 0/05/07 PHY 7 Sping 07 -- Leue 0 0/05/07 PHY

More information

- l ost found upr i ght, dr i f t i n= i - Stand i ng i s boa t, star t i ng eng i nes and

- l ost found upr i ght, dr i f t i n= i - Stand i ng i s boa t, star t i ng eng i nes and . pesena i on of 1975 and 1977 Raoo ed 3oe i n faa l i i es pevenab l e 1 a l l Sw i ch- MARCH 1979 1. UCUCR0m The ques i on of k i l l av i chea, dead man ho l es, and e he asss of sopp i ng unway boa

More information

336 ERIDANI kfk Lp = sup jf(y) ; f () jj j p p whee he supemum is aken ove all open balls = (a ) inr n, jj is he Lebesgue measue of in R n, () =(), f

336 ERIDANI kfk Lp = sup jf(y) ; f () jj j p p whee he supemum is aken ove all open balls = (a ) inr n, jj is he Lebesgue measue of in R n, () =(), f TAMKANG JOURNAL OF MATHEMATIS Volume 33, Numbe 4, Wine 2002 ON THE OUNDEDNESS OF A GENERALIED FRATIONAL INTEGRAL ON GENERALIED MORREY SPAES ERIDANI Absac. In his pape we exend Nakai's esul on he boundedness

More information

Final Exam. Tuesday, December hours, 30 minutes

Final Exam. Tuesday, December hours, 30 minutes an Faniso ae Univesi Mihael Ba ECON 30 Fall 04 Final Exam Tuesda, Deembe 6 hous, 30 minues Name: Insuions. This is losed book, losed noes exam.. No alulaos of an kind ae allowed. 3. how all he alulaions.

More information

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations Today - Lecue 13 Today s lecue coninue wih oaions, oque, Noe ha chapes 11, 1, 13 all inole oaions slide 1 eiew Roaions Chapes 11 & 1 Viewed fom aboe (+z) Roaional, o angula elociy, gies angenial elociy

More information

Field due to a collection of N discrete point charges: r is in the direction from

Field due to a collection of N discrete point charges: r is in the direction from Physcs 46 Fomula Shee Exam Coulomb s Law qq Felec = k ˆ (Fo example, f F s he elecc foce ha q exes on q, hen ˆ s a un veco n he decon fom q o q.) Elecc Feld elaed o he elecc foce by: Felec = qe (elecc

More information

Electromagnetic waves in vacuum.

Electromagnetic waves in vacuum. leromagne waves n vauum. The dsovery of dsplaemen urrens enals a peular lass of soluons of Maxwell equaons: ravellng waves of eler and magne felds n vauum. In he absene of urrens and harges, he equaons

More information

KINGS UNIT- I LAPLACE TRANSFORMS

KINGS UNIT- I LAPLACE TRANSFORMS MA5-MATHEMATICS-II KINGS COLLEGE OF ENGINEERING Punalkulam DEPARTMENT OF MATHEMATICS ACADEMIC YEAR - ( Even Semese ) QUESTION BANK SUBJECT CODE: MA5 SUBJECT NAME: MATHEMATICS - II YEAR / SEM: I / II UNIT-

More information

Chapter 5. Long Waves

Chapter 5. Long Waves ape 5. Lo Waes Wae e s o compaed ae dep: < < L π Fom ea ae eo o s s ; amos ozoa moo z p s ; dosac pesse Dep-aeaed coseao o mass

More information

1 Temperature And Super Conductivity. 1.1 Defining Temperature

1 Temperature And Super Conductivity. 1.1 Defining Temperature 1 Tempeaue And Supe Conduiviy 1.1 Defining Tempeaue In ode o fully undesand his wok on empeaue and he elaed effes i helps o have ead he Quanum Theoy and he Advaned Quanum Theoy piees of he Pi-Spae Theoy

More information

CHAPTER 7: CLUSTERING

CHAPTER 7: CLUSTERING CHAPTER 7: CLUSTERING Semparamerc Densy Esmaon 3 Paramerc: Assume a snge mode for p ( C ) (Chapers 4 and 5) Semparamerc: p ( C ) s a mure of denses Mupe possbe epanaons/prooypes: Dfferen handwrng syes,

More information

An Optimization Model for Empty Container Reposition under Uncertainty

An Optimization Model for Empty Container Reposition under Uncertainty n Omzon Mode o Emy onne Reoson nde neny eodo be n Demen o Mnemen nd enooy QM nd ene de Reee s es nsos Moné nd Mssmo D Fneso Demen o Lnd Enneen nesy o Iy o Zdds Demen o Lnd Enneen nesy o Iy Inodon. onne

More information

156 There are 9 books stacked on a shelf. The thickness of each book is either 1 inch or 2

156 There are 9 books stacked on a shelf. The thickness of each book is either 1 inch or 2 156 Thee ae 9 books sacked on a shelf. The hickness of each book is eihe 1 inch o 2 F inches. The heigh of he sack of 9 books is 14 inches. Which sysem of equaions can be used o deemine x, he numbe of

More information

Lecture 5. Chapter 3. Electromagnetic Theory, Photons, and Light

Lecture 5. Chapter 3. Electromagnetic Theory, Photons, and Light Lecue 5 Chape 3 lecomagneic Theo, Phoons, and Ligh Gauss s Gauss s Faada s Ampèe- Mawell s + Loen foce: S C ds ds S C F dl dl q Mawell equaions d d qv A q A J ds ds In mae fields ae defined hough ineacion

More information

Lecture 22 Electromagnetic Waves

Lecture 22 Electromagnetic Waves Lecue Elecomagneic Waves Pogam: 1. Enegy caied by he wave (Poyning veco).. Maxwell s equaions and Bounday condiions a inefaces. 3. Maeials boundaies: eflecion and efacion. Snell s Law. Quesions you should

More information

The Maxwell equations as a Bäcklund transformation

The Maxwell equations as a Bäcklund transformation ADVANCED ELECTROMAGNETICS, VOL. 4, NO. 1, JULY 15 The Mawell equaons as a Bäklund ransformaon C. J. Papahrsou Deparmen of Physal Senes, Naval Aademy of Greee, Praeus, Greee papahrsou@snd.edu.gr Absra Bäklund

More information

ECON 8105 FALL 2017 ANSWERS TO MIDTERM EXAMINATION

ECON 8105 FALL 2017 ANSWERS TO MIDTERM EXAMINATION MACROECONOMIC THEORY T. J. KEHOE ECON 85 FALL 7 ANSWERS TO MIDTERM EXAMINATION. (a) Wh an Arrow-Debreu markes sruure fuures markes for goods are open n perod. Consumers rade fuures onras among hemselves.

More information

General Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security

General Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security 1 Geneal Non-Abiage Model I. Paial Diffeenial Equaion fo Picing A. aded Undelying Secuiy 1. Dynamics of he Asse Given by: a. ds = µ (S, )d + σ (S, )dz b. he asse can be eihe a sock, o a cuency, an index,

More information

Lecture Notes 4: Consumption 1

Lecture Notes 4: Consumption 1 Leure Noes 4: Consumpon Zhwe Xu (xuzhwe@sju.edu.n) hs noe dsusses households onsumpon hoe. In he nex leure, we wll dsuss rm s nvesmen deson. I s safe o say ha any propagaon mehansm of maroeonom model s

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

4.1 Schrödinger Equation in Spherical Coordinates

4.1 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 information

PHYS 705: Classical Mechanics. Central Force Problems I

PHYS 705: Classical Mechanics. Central Force Problems I 1 PHYS 705: Cassica Mechanics Centa Foce Pobems I Two-Body Centa Foce Pobem Histoica Backgound: Kepe s Laws on ceestia bodies (~1605) - Based his 3 aws on obsevationa data fom Tycho Bahe - Fomuate his

More information

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9 OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at

More information

SCIENCE CHINA Technological Sciences

SCIENCE CHINA Technological Sciences SIENE HINA Technologcal Scences Acle Apl 4 Vol.57 No.4: 84 8 do:.7/s43-3-5448- The andom walkng mehod fo he seady lnea convecondffuson equaon wh axsymmec dsc bounday HEN Ka, SONG MengXuan & ZHANG Xng *

More information

University of California, Davis Date: June xx, PRELIMINARY EXAMINATION FOR THE Ph.D. DEGREE ANSWER KEY

University of California, Davis Date: June xx, PRELIMINARY EXAMINATION FOR THE Ph.D. DEGREE ANSWER KEY Unvesy of Calfona, Davs Dae: June xx, 009 Depamen of Economcs Tme: 5 hous Mcoeconomcs Readng Tme: 0 mnues PRELIMIARY EXAMIATIO FOR THE Ph.D. DEGREE Pa I ASWER KEY Ia) Thee ae goods. Good s lesue, measued

More information

THIS PAGE DECLASSIFIED IAW E

THIS PAGE DECLASSIFIED IAW E THS PAGE DECLASSFED AW E0 2958 BL K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW E0 2958 B L K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW E0 2958 BL K THS PAGE DECLASSFED AW E0 2958

More information

H STO RY OF TH E SA NT

H STO RY OF TH E SA NT O RY OF E N G L R R VER ritten for the entennial of th e Foundin g of t lair oun t y on ay 8 82 Y EEL N E JEN K RP O N! R ENJ F ] jun E 3 1 92! Ph in t ed b y h e t l a i r R ep u b l i c a n O 4 1922

More information

Photographing a time interval

Photographing a time interval Potogaping a time inteval Benad Rotenstein and Ioan Damian Politennia Univesity of imisoaa Depatment of Pysis imisoaa Romania benad_otenstein@yaoo.om ijdamian@yaoo.om Abstat A metod of measuing time intevals

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information