PRINCIPAL STATISTICAL RATIOS APPLIED TO THE SEPARATION PROCESS IN A VERTICAL TURBULENT FLOW

Size: px
Start display at page:

Download "PRINCIPAL STATISTICAL RATIOS APPLIED TO THE SEPARATION PROCESS IN A VERTICAL TURBULENT FLOW"

Transcription

1 PRINCIPAL STATISTICAL RATIOS APPLID TO TH SPARATION PROCSS IN A VRTICAL TURBULNT FLOW ugn Barsky Jrusalm Acadmc Collg of ngnrng ABSTRACT In th framwork of a statstcal approach to two-phas flows n th sparaton mod, th noton of flow moblty has bn formulatd. Prncpal rgularts of mass transfr n zon/apparatus systm ar analyzd. Prncpal das of a cllular modl of th procss ar formulatd, and man rlatonshps for ts dscrpton ar drvd. Procdng from th cllular modl, a dpndnc dscrbng th dgr of fractonal sparaton of a narrow sz grad s found. Th analyss of ths dpndnc maks t possbl to rval th crucal rol of th Froud crtron for gravtatonal sparaton procsss. It s found mprcally that ths paramtr s a bass for th affnzaton of sparaton curvs. INTRODUCTION Procsss of pourabl matrals sparaton ar rathr wdsprad n modrn ndustrs. In th ovrwhlmng majorty of cass, pourabl matrals ar sparatd n movng flows. Thortcal prncpls of such procsss practcally hav not bn dvlopd yt. To th prsnt day, thy ar basd on th bhavor of sngl partcls n a flow, whch s not gnralzd to a mass procss. Ths prvnts th dvlopmnt of unvrsal computaton mthods, whch srously mpds th dvlopmnt of sparaton mthods. Mass thory of th procss s basd on th gravtatonal sparaton of polyfractonal powdrs by thr gran sz. Th smplst gravtatonal sparator can b rprsntd as a vrtcal pp wth a gas or flud flow fd from blow and a polyfractonal mxtur fd from abov. Dpndng on th flow vlocty, fn partcls ar carrd out upwards, whras coars ons fall down n a countr-flow. Prncpal rlatonshps of gravtatonal sparaton can b radly xtndd to cntrfugal sparaton and smlar sparaton procsss wth countr-drctd moton of partcls. Basc das of a statstcal approach to th gravtatonal classfcaton procss wr lad n Rfs. [] and []. W procd wth dscussng ths ssu usng th systm of symbols accptd n ths paprs. W analyz a stady-stat flow (a flow wth th numbr of partcls n th systm rmanng constant n tm) n a systm rprsntd n Fg.. A charactrstc fatur of ths systm s a longtudnal partton along th flow. Ths partton sparats th systm comprsng, say, partcls of th sam sz grad nto two solatd flows. Lt th frst flow b charactrzd by th paramtrs N ; J, and th scond by N ; J. Not that th dynamc condtons of th flow ar not ncssarly th sam for both parts,.., χ χ (w w ). On can asly show that for such a stady-stat statstcal systm th followng rlatonshps ar vald:

2 N N N const J J J const () If w now rmov th partton, w obtan an ntgratd systm wth a possbl ntrchang of partcls. As shown n [], th most probabl confguraton of th ntgratd systm s that wth th maxmal numbr of admssbl stats at th sam chaotzng factor of both systms. Ths maxmal numbr can b dtrmnd by th analyss of th product of th numbrs of admssbl stats for sparat systms wth rspct to ndpndnt varabls charactrzng both systms. From th rlaton th xtrmum condton can b wrttn as ( N ; J ) ( N N ; J J ) d ( ) N dn J dj N dn J dj 0 () Takng () nto account, w can wrt: Hnc, ; N N dn dn dj dj J J Dvdng both sds of () by th product φ φ and takng nto account th drvd rlatons, w obtan: 0 N N dn dj J J Ths xprsson rflcts th condton of mutual lvlng of both systms. Ths dpndnc can b somwhat smplfd: ln ln ln ln 0 N N dn dj J (3) J Apparntly, th condtons of qualzng th two systms wll b satsfd whn th xprssons n brackts acqur zro valus, snc undr qulbrum condtons th scond brackt s zro, as stablshd prvously. Thus, w obtan from (3) that H N H and N H J H J

3 Th scond condton s known, - t s rducd to χ = χ,.. th valus of chaotzng factors n both parts of th systm ar qualzd. Th frst condton s nw. W ntroduc a notaton: H ( ) (4) N J whr τ s a paramtr sgnfyng a moblty factor corrspondng to th flow rat squard n a spcfd pont of th apparatus cross-scton. (5).., two systms that can xchang partcls gt qulbratd whn th rato of thr moblty factors to th chaotzng factor bcom qual. W hav assumd that th chaotzng factor s th man flow rat squard,.. χ = w. Th moblty factor charactrzs partcls and apparatus dsgn, but ts dmnson should b that of vlocty squard. Such a unqu charactrstc of a partcl s a magntud multpld by th sparaton factor, whch compltly dtrmns all th aspcts of a partcl bhavor wth rspct to a spcfc flow. Apparntly, ths paramtr s proportonal or qual to th flow rat of partcl n concrt pont w. Takng ths nto account, w pass to th analyss of a systm that comprss a constant numbr of partcls N α n a statc stat. At a dfnt flow rat, lftng factor of ths systm s charactrzd by th magntud J α. W convntonally dvd ths systm nto two parts and call th largr part an apparatus and th smallr part a zon. Th zon mpls a part of th vrtcal channl volum havng a modrat hght and covrng th ntr cross-scton of th channl. Th zon hght s accptd to b small, suffcnt for holdng a larg numbr of partcls, but nsuffcnt for apprcabl changs n th composton, concntraton and othr paramtrs of th flow. For th sak of convnnc, w locat th slctd zon on th uppr bordr of th systm, although n prncpl, t can b sngld out n any part of th apparatus, whch wll not affct th valdty of our drvatons. W ntroduc anothr lmtaton of th zon hght. It s chosn so small that all th partcls movng upward lav th lmts of th systm undr study,.. ar rmovd out of th apparatus. At th sam tm, th zon and th apparatus ar xamnd n a statonary stat wth a constant numbr of partcls n thm. W xamn statstcal proprts of such a zon takng nto account ts contact wth th apparatus. Th lattr mans that th flow rats thrn ar qual or, at last, rgdly connctd, whch s stpulatd only by th rato of corrspondng opn flow aras. Bsds, on should accpt th qualty of chaotzng factor and moblty factor. Th apparatus xchangs partcls wth th zon. If th numbr of partcls n th zon quals N (N << N α ), thr numbr n th apparatus quals (N α - N). If a systm posssss a lftng factor, thn th apparatus wll possss ths paramtr (J α ). Usng th rsult of [], w dtrmn th probablty for th zon to b found n th -th stat wth th lftng factor and to comprs N partcls at a gvn obsrvaton. -3

4 Th probablty P( ; N) s proportonal to th numbr of admssbl stats of th apparatus, and not of th zon, snc f th zon stat s fxd, th numbr of admssbl stats of th ntr systm s proportonal to th numbr of admssbl stats of th apparatus,.. P(N; ) s proportonal to ( N N);( J ). In ths rlatonshp th proportonalty coffcnt s unknown. W apply a mthod usually usd by th rsarchrs for ovrcomng ths dffculty dtrmn th rato of th probablts for th zon to b n two stats: P( N; ) P( N ; ) ( N N; J0 ) ( N N ; J ) 0 (6) From th dfnton of ntropy for th ntr apparatus, w can wrt: ( N ; J ) H N J ( ; ) Takng th lattr nto account, th xprsson (6) can b wrttn as P N P N ; ; H H( N N)( J ) H ( N N )( J ) (7) Ths xprsson can b xpandd nto Taylor s srs: H H H( N N; J ) H( N ; J ) N... N J W can wrt th ntropy dffrnc to wthn th frst ordr as follows: J N ( ) ( ) ( J ) ( J ) H N N N N H N J H J N H H ( N N ) ( ) N J (8) Usng th dfnton of th nwly ntroducd factors H J ; N H N J W rwrt th xprsson (8) as H ( N N ) ( ) (9)

5 It s notworthy that ΔH rfrs to th apparatus, whras N ; N ; ; to th zon. Thus, th changs takng plac n th zon prdtrmn th ntropy chang of th ntr apparatus. Ths s ntutvly clar, snc vrythng that lavs th zon and only that prdtrmns th magntud of fractonal sparaton dgr that w ar skng. Takng ths nto account, th dpndnc (9) gvs an xtrmly mportant rato from th standpont of a statstcal approach to th problm: P N P N ; ; N xp( ) N xp( ) (0) Th structur of ths dpndnc s smlar to th rato obtand by Gbbs whn studyng th thrmodynamcs of lmntary partcls of an dal gas. Although t comprss absolutly dffrnt paramtrs dtrmnng th procss undr study, w wll call t Gbbs factor for a two-phas flow. Anothr wll-known rato n thrmodynamcs s calld Boltzmann s factor. It can b obtand from Gbbs factor at a fxd numbr of partcls,.. undr th condton N = N. In ths cas, an xprsson smlar to Boltzmann s factor s wrttn as P ( J) P ( J ) () Th obtand rsults allow us to mak furthr stps n drawng an analogy btwn th procss undr consdraton and thrmodynamcs. W consdr som mor paramtrs whos manng s xcptonally mportant. If w summarz th dpndnc charactrzng Gbbs factor ovr all th stats of th zon and ovr all partcls, w drv an xprsson calld a larg statstcal sum: M ( ; ) N () N Such a sum s a normalzaton factor transformng rlatv probablts nto absolut ons,.., t plays th part of th prvously unknown proportonalty coffcnt. In chmcal kntcs, a larg statstcal sum s oftn xprssd usng so calld absolut actvty paramtr. In our cas, t s wrttn as: and w call t, by analogy, absolut moblty of th systm, and th larg sum n ths cas s

6 M N N (3) Usng ths das, w can stablsh that th probablty for th zon to b n th -th stat s dtrmnd as ( Lt Z N / ) (, ). N P( N ; J ) M Thn at a fxd numbr of partcls, th avrag valu of th lftng factor n th zon amounts to J Z Z ln Z Z (4) Avragng s accomplshd hr ovr th nsmbl of stats of th zon that s n contact wth th apparatus, but comprss a constant numbr of partcls n a statonary procss. To undrstand mass xchang wth th cll, w xamn a lmtng cas, whr only on partcl of a crtan fxd sz grad s constantly locatd n th zon. Thn w pass to th xamnaton of N ndpndnt dntcal partcls of th sam class. Lt us dtrmn a statstcal sum for on partcl. vdntly, on partcl has only two possbl stats wth th vlocty orntd upward or not. In th cas of non-orntaton upward, lftng factor s zro. For ths two possbl stats J Z (5) Th avrag lftng factor valu for on partcl s: 0 Z (6) Ths rlatons lad us to th ncssty of ntroducng anothr lmnt of th modl undr study ts cll. Howvr, ths wll b don somwhat latr, and now w wll try to dtrmn ntropy from ths vwpont. Lt us fnd th logarthm of th xprsson P( ) xp( / ) / Z Hnc, ln P( ) ln Z

7 (ln P ln Z) (7) Ths s vald for systms stablzd n tm. Th lftng factor xpctaton amounts to J P whr P s th probablty of a systm to b n th -th stat. Th magntud of P s dtrmnd by Boltzmann s factor. Takng nto account th fact that and (7), w can wrt dj dp Pd dh dp (ln P ) P ln Z dp Howvr, th probablts ar normalzd to a unty,.. P ; thrfor, dp 0. Hnc, w can obtan It can b shown that dh (ln P ) dp d ( P ln P) (ln P) dp dp ln( P) dp Takng ths nto account, w can wrt dh dp d( P ln P ) W obtan th followng xprsson for th chang n ntropy: and ntropy dh d P ln P (8) H P ln P (9) For a partcl orntd upward P =, othrws P = 0. Thrfor, H = - ln. Hnc, t s clar that no addtonal constants appar at th transton from (8) to (9). Not that (9) s calld ntropy dfnton accordng to Boltzmann. If a zon posssss φ quprobabl admssbl stats, thn s vald for ach of thm, and P Hnc, P ln P ln (ln ln ) ln H ln ln

8 whch totally concds wth th orgnal dfnton of ntropy []. Lt us rvrt to th cllular modl. W assum that th ntr volum of th apparatus s subdvdd nto rctangular clls n such a way that th volum of ach cll allows t to hold no mor than on partcl. If th sz grad undr consdraton comprss N partcls, w can assum that N clls n th apparatus ar occupd, and all th rst ar fr. Thus, t s assumd that th numbr of clls gratly xcds th numbr of partcls. Lt us xamn a systm consstng of on cll. It s mpld n ths cas that th apparatus rprsnts all rmanng clls occupd by (N -) partcls. It follows from th dfnton of a larg sum for on call that M (0) Th frst summand corrsponds to th cas of a non-occupd cll wth a zro lftng factor. Th scond summand corrsponds to an occupd cll whr M= and J =. Avrag occupancy of a cll amounts to n( ) x () Ths notaton gvs th avrag numbr of partcls of th class undr study pr on cll. Its magntud always vars from zro to a unty. It s notworthy that for coars partcls th paramtr of avrag occupancy of a cll concds wth th probablty, snc a cll can b thr occupd or fr. W dfnd th absolut moblty paramtr as. Substtutng ths xprsson nto (), w obtan n( ) () W dnot ths rlaton for th avrag occupancy of a cll by f ( ) n( ) (3) Ths functon shows th avrag numbr of partcls wth th paramtr orntd upward pr on cll. Th valu of f() always vars from zro to a unty. For th avrag occupancy of a cll, th dpndnc (3) s obtand. Takng nto account th fact that, by dfnton, for an solatd partcl w can show that gd

9 w 0. 5 whr w 0 s th partcl hovrng vlocty, and hovrng vlocty s proportonal to.5 th partcl sz,.. w0.5 gd. Avrag cll occupancy n th zon charactrzs th fractonal sparaton dgr: f ( ) (4) w 0. 5 w w Takng ths nto account, w analyz th dpndnc of th typ f ( ) f ( d) Fgur shows an approxmat flow structur pattrn. In dffrnt ponts of th crossscton w s dffrnt. If w consdr th pont whr w = w 0.5, n ths pont f ( d), whch corrsponds to th physcal manng of th sparaton procss, bcaus t shows th condtons of optmal sparaton. In th ponts whr w > w 0.5,.. for coarsr partcls, th xprsson w w s vald,.. n th xprsson x 0.5 magntud of x < 0, and th dpndnc f(d) > ½. In th ponts whr w < w 0.5,.. for fnr partcls, n th xprsson x th magntud of x > 0, and th dpndnc f(d) < ½. On th othr hand, th rato w 0.5 gd s proportonal to th dpndnc Fr w w. It was mprcally found that th Froud crtron s a dtrmnng paramtr for th class of procsss undr study. W hav managd for th frst tm to dmonstrat th ffct of ths factor from th vwpont of a statstcal approach. All ths furnshs a clu to furthr dvlopmnt of th procss thory. Lt us rvrt to th dpndnc (4). It can b wrttn as follows: th f ( ) w w w0. 5 w Th frst multplr n th dnomnator dtrmns th flow structur,.. gomtrcal paramtrs of th apparatus constructon. Ths shows that ths rato n a statonary procss n dtrmnd only by structural paramtrs.

10 Th scond multplr n th dnomnator dtrmns th st of flow paramtrs. In fact, w 4gd( ) c gd w 3 w w 0 cfr, whr c s a st of constant paramtrs. Th aformntond has a rlabl xprmntal confrmaton. RFRNCS [] Barsky., Barsky M., Statstcal prncpls of gravtatonal sparaton n a two-phas vrtcal flow.(manuscrpt) [] Barsky., Barsky M., ntropy of vrtcal two-phas flow n th sparaton mod.(manuscrpt) [3] Barsky, M. Fractonatng of Powdrs, Ndra, Moscow, 980. [4] Boltzmann, L. Lcturs on th Thory of Gass, Gostkhzdat, Moscow, 946. [5] Brlloun, L. Scnc and Informaton Thory, Acadmc Prss Inc., Nw- York, 956. [6] Chambadal, P.P. voluton t applcatons du concpt d ntrop, Dunov, Pars, 963. [7] Kttl, C. Thrmal Physcs, John Wly and Sons, Nw York, 977. Fg.

Grand Canonical Ensemble

Grand Canonical Ensemble Th nsmbl of systms mmrsd n a partcl-hat rsrvor at constant tmpratur T, prssur P, and chmcal potntal. Consdr an nsmbl of M dntcal systms (M =,, 3,...M).. Thy ar mutually sharng th total numbr of partcls

More information

The Hyperelastic material is examined in this section.

The Hyperelastic material is examined in this section. 4. Hyprlastcty h Hyprlastc matral s xad n ths scton. 4..1 Consttutv Equatons h rat of chang of ntrnal nrgy W pr unt rfrnc volum s gvn by th strss powr, whch can b xprssd n a numbr of dffrnt ways (s 3.7.6):

More information

Economics 600: August, 2007 Dynamic Part: Problem Set 5. Problems on Differential Equations and Continuous Time Optimization

Economics 600: August, 2007 Dynamic Part: Problem Set 5. Problems on Differential Equations and Continuous Time Optimization THE UNIVERSITY OF MARYLAND COLLEGE PARK, MARYLAND Economcs 600: August, 007 Dynamc Part: Problm St 5 Problms on Dffrntal Equatons and Contnuous Tm Optmzaton Quston Solv th followng two dffrntal quatons.

More information

Relate p and T at equilibrium between two phases. An open system where a new phase may form or a new component can be added

Relate p and T at equilibrium between two phases. An open system where a new phase may form or a new component can be added 4.3, 4.4 Phas Equlbrum Dtrmn th slops of th f lns Rlat p and at qulbrum btwn two phass ts consdr th Gbbs functon dg η + V Appls to a homognous systm An opn systm whr a nw phas may form or a nw componnt

More information

CHAPTER 33: PARTICLE PHYSICS

CHAPTER 33: PARTICLE PHYSICS Collg Physcs Studnt s Manual Chaptr 33 CHAPTER 33: PARTICLE PHYSICS 33. THE FOUR BASIC FORCES 4. (a) Fnd th rato of th strngths of th wak and lctromagntc forcs undr ordnary crcumstancs. (b) What dos that

More information

Optimal Ordering Policy in a Two-Level Supply Chain with Budget Constraint

Optimal Ordering Policy in a Two-Level Supply Chain with Budget Constraint Optmal Ordrng Polcy n a Two-Lvl Supply Chan wth Budgt Constrant Rasoul aj Alrza aj Babak aj ABSTRACT Ths papr consdrs a two- lvl supply chan whch consst of a vndor and svral rtalrs. Unsatsfd dmands n rtalrs

More information

A Note on Estimability in Linear Models

A Note on Estimability in Linear Models Intrnatonal Journal of Statstcs and Applcatons 2014, 4(4): 212-216 DOI: 10.5923/j.statstcs.20140404.06 A Not on Estmablty n Lnar Modls S. O. Adymo 1,*, F. N. Nwob 2 1 Dpartmnt of Mathmatcs and Statstcs,

More information

COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP

COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP ISAHP 00, Bal, Indonsa, August -9, 00 COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP Chkako MIYAKE, Kkch OHSAWA, Masahro KITO, and Masaak SHINOHARA Dpartmnt of Mathmatcal Informaton Engnrng

More information

te Finance (4th Edition), July 2017.

te Finance (4th Edition), July 2017. Appndx Chaptr. Tchncal Background Gnral Mathmatcal and Statstcal Background Fndng a bas: 3 2 = 9 3 = 9 1 /2 x a = b x = b 1/a A powr of 1 / 2 s also quvalnt to th squar root opraton. Fndng an xponnt: 3

More information

ST 524 NCSU - Fall 2008 One way Analysis of variance Variances not homogeneous

ST 524 NCSU - Fall 2008 One way Analysis of variance Variances not homogeneous ST 54 NCSU - Fall 008 On way Analyss of varanc Varancs not homognous On way Analyss of varanc Exampl (Yandll, 997) A plant scntst masurd th concntraton of a partcular vrus n plant sap usng ELISA (nzym-lnkd

More information

Lecture 21. Boltzmann Statistics (Ch. 6)

Lecture 21. Boltzmann Statistics (Ch. 6) Lctur. oltzmann tatstcs (Ch. 6) W hav followd th followng logc:. tatstcal tratmnt of solatd systms: multplcty ntropy th nd Law.. hrmodynamc tratmnt of systms n contact wth th hat rsrvor th mnmum fr nrgy

More information

Jones vector & matrices

Jones vector & matrices Jons vctor & matrcs PY3 Colást na hollscol Corcagh, Ér Unvrst Collg Cork, Irland Dpartmnt of Phscs Matr tratmnt of polarzaton Consdr a lght ra wth an nstantanous -vctor as shown k, t ˆ k, t ˆ k t, o o

More information

Electrochemical Equilibrium Electromotive Force. Relation between chemical and electric driving forces

Electrochemical Equilibrium Electromotive Force. Relation between chemical and electric driving forces C465/865, 26-3, Lctur 7, 2 th Sp., 26 lctrochmcal qulbrum lctromotv Forc Rlaton btwn chmcal and lctrc drvng forcs lctrochmcal systm at constant T and p: consdr G Consdr lctrochmcal racton (nvolvng transfr

More information

Analyzing Frequencies

Analyzing Frequencies Frquncy (# ndvduals) Frquncy (# ndvduals) /3/16 H o : No dffrnc n obsrvd sz frquncs and that prdctd by growth modl How would you analyz ths data? 15 Obsrvd Numbr 15 Expctd Numbr from growth modl 1 1 5

More information

HORIZONTAL IMPEDANCE FUNCTION OF SINGLE PILE IN SOIL LAYER WITH VARIABLE PROPERTIES

HORIZONTAL IMPEDANCE FUNCTION OF SINGLE PILE IN SOIL LAYER WITH VARIABLE PROPERTIES 13 th World Confrnc on Earthquak Engnrng Vancouvr, B.C., Canada August 1-6, 4 Papr No. 485 ORIZONTAL IMPEDANCE FUNCTION OF SINGLE PILE IN SOIL LAYER WIT VARIABLE PROPERTIES Mngln Lou 1 and Wnan Wang Abstract:

More information

ACOUSTIC WAVE EQUATION. Contents INTRODUCTION BULK MODULUS AND LAMÉ S PARAMETERS

ACOUSTIC WAVE EQUATION. Contents INTRODUCTION BULK MODULUS AND LAMÉ S PARAMETERS ACOUSTIC WAE EQUATION Contnts INTRODUCTION BULK MODULUS AND LAMÉ S PARAMETERS INTRODUCTION As w try to vsualz th arth ssmcally w mak crtan physcal smplfcatons that mak t asr to mak and xplan our obsrvatons.

More information

Lecture 14. Relic neutrinos Temperature at neutrino decoupling and today Effective degeneracy factor Neutrino mass limits Saha equation

Lecture 14. Relic neutrinos Temperature at neutrino decoupling and today Effective degeneracy factor Neutrino mass limits Saha equation Lctur Rlc nutrnos mpratur at nutrno dcoupln and today Effctv dnracy factor Nutrno mass lmts Saha quaton Physcal Cosmoloy Lnt 005 Rlc Nutrnos Nutrnos ar wakly ntractn partcls (lptons),,,,,,, typcal ractons

More information

Polytropic Process. A polytropic process is a quasiequilibrium process described by

Polytropic Process. A polytropic process is a quasiequilibrium process described by Polytropc Procss A polytropc procss s a quasqulbrum procss dscrbd by pv n = constant (Eq. 3.5 Th xponnt, n, may tak on any valu from to dpndng on th partcular procss. For any gas (or lqud, whn n = 0, th

More information

Lecture 3: Phasor notation, Transfer Functions. Context

Lecture 3: Phasor notation, Transfer Functions. Context EECS 5 Fall 4, ctur 3 ctur 3: Phasor notaton, Transfr Functons EECS 5 Fall 3, ctur 3 Contxt In th last lctur, w dscussd: how to convrt a lnar crcut nto a st of dffrntal quatons, How to convrt th st of

More information

1- Summary of Kinetic Theory of Gases

1- Summary of Kinetic Theory of Gases Dr. Kasra Etmad Octobr 5, 011 1- Summary of Kntc Thory of Gass - Radaton 3- E4 4- Plasma Proprts f(v f ( v m 4 ( kt 3/ v xp( mv kt V v v m v 1 rms V kt v m ( m 1/ v 8kT m 3kT v rms ( m 1/ E3: Prcntag of

More information

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn.

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn. Modul 10 Addtonal Topcs 10.1 Lctur 1 Prambl: Dtrmnng whthr a gvn ntgr s prm or compost s known as prmalty tstng. Thr ar prmalty tsts whch mrly tll us whthr a gvn ntgr s prm or not, wthout gvng us th factors

More information

Physics 256: Lecture 2. Physics

Physics 256: Lecture 2. Physics Physcs 56: Lctur Intro to Quantum Physcs Agnda for Today Complx Numbrs Intrfrnc of lght Intrfrnc Two slt ntrfrnc Dffracton Sngl slt dffracton Physcs 01: Lctur 1, Pg 1 Constructv Intrfrnc Ths wll occur

More information

Outlier-tolerant parameter estimation

Outlier-tolerant parameter estimation Outlr-tolrant paramtr stmaton Baysan thods n physcs statstcs machn larnng and sgnal procssng (SS 003 Frdrch Fraundorfr fraunfr@cg.tu-graz.ac.at Computr Graphcs and Vson Graz Unvrsty of Tchnology Outln

More information

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline Introucton to Ornar Dffrntal Equatons Sptmbr 7, 7 Introucton to Ornar Dffrntal Equatons Larr artto Mchancal Engnrng AB Smnar n Engnrng Analss Sptmbr 7, 7 Outln Rvw numrcal solutons Bascs of ffrntal quatons

More information

Ch. 24 Molecular Reaction Dynamics 1. Collision Theory

Ch. 24 Molecular Reaction Dynamics 1. Collision Theory Ch. 4 Molcular Raction Dynamics 1. Collision Thory Lctur 16. Diffusion-Controlld Raction 3. Th Matrial Balanc Equation 4. Transition Stat Thory: Th Eyring Equation 5. Transition Stat Thory: Thrmodynamic

More information

Review - Probabilistic Classification

Review - Probabilistic Classification Mmoral Unvrsty of wfoundland Pattrn Rcognton Lctur 8 May 5, 6 http://www.ngr.mun.ca/~charlsr Offc Hours: Tusdays Thursdays 8:3-9:3 PM E- (untl furthr notc) Gvn lablld sampls { ɛc,,,..., } {. Estmat Rvw

More information

CHAPTER 7d. DIFFERENTIATION AND INTEGRATION

CHAPTER 7d. DIFFERENTIATION AND INTEGRATION CHAPTER 7d. DIFFERENTIATION AND INTEGRATION A. J. Clark School o Engnrng Dpartmnt o Cvl and Envronmntal Engnrng by Dr. Ibrahm A. Assakka Sprng ENCE - Computaton Mthods n Cvl Engnrng II Dpartmnt o Cvl and

More information

10/7/14. Mixture Models. Comp 135 Introduction to Machine Learning and Data Mining. Maximum likelihood estimation. Mixture of Normals in 1D

10/7/14. Mixture Models. Comp 135 Introduction to Machine Learning and Data Mining. Maximum likelihood estimation. Mixture of Normals in 1D Comp 35 Introducton to Machn Larnng and Data Mnng Fall 204 rofssor: Ron Khardon Mxtur Modls Motvatd by soft k-mans w dvlopd a gnratv modl for clustrng. Assum thr ar k clustrs Clustrs ar not rqurd to hav

More information

Folding of Regular CW-Complexes

Folding of Regular CW-Complexes Ald Mathmatcal Scncs, Vol. 6,, no. 83, 437-446 Foldng of Rgular CW-Comlxs E. M. El-Kholy and S N. Daoud,3. Dartmnt of Mathmatcs, Faculty of Scnc Tanta Unvrsty,Tanta,Egyt. Dartmnt of Mathmatcs, Faculty

More information

Lecture 23 APPLICATIONS OF FINITE ELEMENT METHOD TO SCALAR TRANSPORT PROBLEMS

Lecture 23 APPLICATIONS OF FINITE ELEMENT METHOD TO SCALAR TRANSPORT PROBLEMS COMPUTTION FUID DYNMICS: FVM: pplcatons to Scalar Transport Prolms ctur 3 PPICTIONS OF FINITE EEMENT METHOD TO SCR TRNSPORT PROBEMS 3. PPICTION OF FEM TO -D DIFFUSION PROBEM Consdr th stady stat dffuson

More information

CLASSICAL STATISTICS OF PARAMAGNETISM

CLASSICAL STATISTICS OF PARAMAGNETISM Prof. Dr. I. assr Phys 530 8-Dc_0 CLASSICAL STATISTICS OF PARAMAGETISM Th most famous typs of Magntc matrals ar: () Paramagntc: A proprty xhbt by substancs whch, whn placd n a magntc fld, ar magntd paralll

More information

A NEW GENERALISATION OF SAM-SOLAI S MULTIVARIATE ADDITIVE GAMMA DISTRIBUTION*

A NEW GENERALISATION OF SAM-SOLAI S MULTIVARIATE ADDITIVE GAMMA DISTRIBUTION* A NEW GENERALISATION OF SAM-SOLAI S MULTIVARIATE ADDITIVE GAMMA DISTRIBUTION* Dr. G.S. Davd Sam Jayakumar, Assstant Profssor, Jamal Insttut of Managmnt, Jamal Mohamd Collg, Truchraall 620 020, South Inda,

More information

8-node quadrilateral element. Numerical integration

8-node quadrilateral element. Numerical integration Fnt Elmnt Mthod lctur nots _nod quadrlatral lmnt Pag of 0 -nod quadrlatral lmnt. Numrcal ntgraton h tchnqu usd for th formulaton of th lnar trangl can b formall tndd to construct quadrlatral lmnts as wll

More information

Group Codes Define Over Dihedral Groups of Small Order

Group Codes Define Over Dihedral Groups of Small Order Malaysan Journal of Mathmatcal Scncs 7(S): 0- (0) Spcal Issu: Th rd Intrnatonal Confrnc on Cryptology & Computr Scurty 0 (CRYPTOLOGY0) MALAYSIA JOURAL OF MATHEMATICAL SCIECES Journal hompag: http://nspm.upm.du.my/ournal

More information

ON THE COMPLEXITY OF K-STEP AND K-HOP DOMINATING SETS IN GRAPHS

ON THE COMPLEXITY OF K-STEP AND K-HOP DOMINATING SETS IN GRAPHS MATEMATICA MONTISNIRI Vol XL (2017) MATEMATICS ON TE COMPLEXITY OF K-STEP AN K-OP OMINATIN SETS IN RAPS M FARAI JALALVAN AN N JAFARI RA partmnt of Mathmatcs Shahrood Unrsty of Tchnology Shahrood Iran Emals:

More information

:2;$-$(01*%<*=,-./-*=0;"%/;"-*

:2;$-$(01*%<*=,-./-*=0;%/;-* !"#$%'()%"*#%*+,-./-*+01.2(.*3+456789*!"#$%"'()'*+,-."/0.%+1'23"45'46'7.89:89'/' ;8-,"$4351415,8:+#9' Dr. Ptr T. Gallaghr Astrphyscs Rsarch Grup Trnty Cllg Dubln :2;$-$(01*%

More information

FEFF and Related Codes

FEFF and Related Codes FEFF and Rlatd Cods Anatoly Frnl Profssor Physcs Dpartmnt, Yshva Unvrsty, w Yor, USA Synchrotron Catalyss Consortum, Broohavn atonal Laboratory, USA www.yu.du/faculty/afrnl Anatoly.Frnl@yu.du FEFF: John

More information

External Equivalent. EE 521 Analysis of Power Systems. Chen-Ching Liu, Boeing Distinguished Professor Washington State University

External Equivalent. EE 521 Analysis of Power Systems. Chen-Ching Liu, Boeing Distinguished Professor Washington State University xtrnal quvalnt 5 Analyss of Powr Systms Chn-Chng Lu, ong Dstngushd Profssor Washngton Stat Unvrsty XTRNAL UALNT ach powr systm (ara) s part of an ntrconnctd systm. Montorng dvcs ar nstalld and data ar

More information

Decision-making with Distance-based Operators in Fuzzy Logic Control

Decision-making with Distance-based Operators in Fuzzy Logic Control Dcson-makng wth Dstanc-basd Oprators n Fuzzy Logc Control Márta Takács Polytchncal Engnrng Collg, Subotca 24000 Subotca, Marka Orškovća 16., Yugoslava marta@vts.su.ac.yu Abstract: Th norms and conorms

More information

Chapter 6 Student Lecture Notes 6-1

Chapter 6 Student Lecture Notes 6-1 Chaptr 6 Studnt Lctur Nots 6-1 Chaptr Goals QM353: Busnss Statstcs Chaptr 6 Goodnss-of-Ft Tsts and Contngncy Analyss Aftr compltng ths chaptr, you should b abl to: Us th ch-squar goodnss-of-ft tst to dtrmn

More information

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches.

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches. Subjct Chmistry Papr No and Titl Modul No and Titl Modul Tag 8/ Physical Spctroscopy / Brakdown of th Born-Oppnhimr approximation. Slction ruls for rotational-vibrational transitions. P, R branchs. CHE_P8_M

More information

GPC From PeakSimple Data Acquisition

GPC From PeakSimple Data Acquisition GPC From PakSmpl Data Acquston Introducton Th follong s an outln of ho PakSmpl data acquston softar/hardar can b usd to acqur and analyz (n conjuncton th an approprat spradsht) gl prmaton chromatography

More information

Reliability of time dependent stress-strength system for various distributions

Reliability of time dependent stress-strength system for various distributions IOS Joural of Mathmatcs (IOS-JM ISSN: 78-578. Volum 3, Issu 6 (Sp-Oct., PP -7 www.osrjourals.org lablty of tm dpdt strss-strgth systm for varous dstrbutos N.Swath, T.S.Uma Mahswar,, Dpartmt of Mathmatcs,

More information

Higher order derivatives

Higher order derivatives Robrto s Nots on Diffrntial Calculus Chaptr 4: Basic diffrntiation ruls Sction 7 Highr ordr drivativs What you nd to know alrady: Basic diffrntiation ruls. What you can larn hr: How to rpat th procss of

More information

Elements of Statistical Thermodynamics

Elements of Statistical Thermodynamics 24 Elmnts of Statistical Thrmodynamics Statistical thrmodynamics is a branch of knowldg that has its own postulats and tchniqus. W do not attmpt to giv hr vn an introduction to th fild. In this chaptr,

More information

Basic Electrical Engineering for Welding [ ] --- Introduction ---

Basic Electrical Engineering for Welding [ ] --- Introduction --- Basc Elctrcal Engnrng for Wldng [] --- Introducton --- akayosh OHJI Profssor Ertus, Osaka Unrsty Dr. of Engnrng VIUAL WELD CO.,LD t-ohj@alc.co.jp OK 15 Ex. Basc A.C. crcut h fgurs n A-group show thr typcal

More information

A Propagating Wave Packet Group Velocity Dispersion

A Propagating Wave Packet Group Velocity Dispersion Lctur 8 Phys 375 A Propagating Wav Packt Group Vlocity Disprsion Ovrviw and Motivation: In th last lctur w lookd at a localizd solution t) to th 1D fr-particl Schrödingr quation (SE) that corrsponds to

More information

UNIT 8 TWO-WAY ANOVA WITH m OBSERVATIONS PER CELL

UNIT 8 TWO-WAY ANOVA WITH m OBSERVATIONS PER CELL UNIT 8 TWO-WAY ANOVA WITH OBSERVATIONS PER CELL Two-Way Anova wth Obsrvatons Pr Cll Structur 81 Introducton Obctvs 8 ANOVA Modl for Two-way Classfd Data wth Obsrvatons r Cll 83 Basc Assutons 84 Estaton

More information

Heating of a solid cylinder immersed in an insulated bath. Thermal diffusivity and heat capacity experimental evaluation.

Heating of a solid cylinder immersed in an insulated bath. Thermal diffusivity and heat capacity experimental evaluation. Hatng of a sold cylndr mmrsd n an nsulatd bath. Thrmal dffusvty and hat capacty xprmntal valuaton. Žtný R., CTU FE Dpartmnt of Procss Engnrng, arch. Introducton Th problm as ntatd by th follong E-mal from

More information

IV. First Law of Thermodynamics. Cooler. IV. First Law of Thermodynamics

IV. First Law of Thermodynamics. Cooler. IV. First Law of Thermodynamics D. Applcatons to stady flow dvcs. Hat xchangrs - xampl: Clkr coolr for cmnt kln Scondary ar 50 C, 57,000 lbm/h Clkr? C, 5 ton/h Coolr Clkr 400 C, 5 ton/h Scondary ar 0 C, 57,000 lbm/h a. Assumptons. changs

More information

Principles of Humidity Dalton s law

Principles of Humidity Dalton s law Principls of Humidity Dalton s law Air is a mixtur of diffrnt gass. Th main gas componnts ar: Gas componnt volum [%] wight [%] Nitrogn N 2 78,03 75,47 Oxygn O 2 20,99 23,20 Argon Ar 0,93 1,28 Carbon dioxid

More information

EEC 686/785 Modeling & Performance Evaluation of Computer Systems. Lecture 12

EEC 686/785 Modeling & Performance Evaluation of Computer Systems. Lecture 12 EEC 686/785 Modlng & Prformanc Evaluaton of Computr Systms Lctur Dpartmnt of Elctrcal and Computr Engnrng Clvland Stat Unvrsty wnbng@.org (basd on Dr. Ra Jan s lctur nots) Outln Rvw of lctur k r Factoral

More information

Abstract Interpretation: concrete and abstract semantics

Abstract Interpretation: concrete and abstract semantics Abstract Intrprtation: concrt and abstract smantics Concrt smantics W considr a vry tiny languag that manags arithmtic oprations on intgrs valus. Th (concrt) smantics of th languags cab b dfind by th funzcion

More information

Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari

Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari snbrg Modl Sad Mohammad Mahd Sadrnhaad Survsor: Prof. bdollah Langar bstract: n ths rsarch w tr to calculat analtcall gnvalus and gnvctors of fnt chan wth ½-sn artcls snbrg modl. W drov gnfuctons for closd

More information

Soft k-means Clustering. Comp 135 Machine Learning Computer Science Tufts University. Mixture Models. Mixture of Normals in 1D

Soft k-means Clustering. Comp 135 Machine Learning Computer Science Tufts University. Mixture Models. Mixture of Normals in 1D Comp 35 Machn Larnng Computr Scnc Tufts Unvrsty Fall 207 Ron Khardon Th EM Algorthm Mxtur Modls Sm-Suprvsd Larnng Soft k-mans Clustrng ck k clustr cntrs : Assocat xampls wth cntrs p,j ~~ smlarty b/w cntr

More information

ANALYSIS: The mass rate balance for the one-inlet, one-exit control volume at steady state is

ANALYSIS: The mass rate balance for the one-inlet, one-exit control volume at steady state is Problm 4.47 Fgur P4.47 provds stady stat opratng data for a pump drawng watr from a rsrvor and dlvrng t at a prssur of 3 bar to a storag tank prchd 5 m abov th rsrvor. Th powr nput to th pump s 0.5 kw.

More information

Introduction to Condensed Matter Physics

Introduction to Condensed Matter Physics Introduction to Condnsd Mattr Physics pcific hat M.P. Vaughan Ovrviw Ovrviw of spcific hat Hat capacity Dulong-Ptit Law Einstin modl Dby modl h Hat Capacity Hat capacity h hat capacity of a systm hld at

More information

Guo, James C.Y. (1998). "Overland Flow on a Pervious Surface," IWRA International J. of Water, Vol 23, No 2, June.

Guo, James C.Y. (1998). Overland Flow on a Pervious Surface, IWRA International J. of Water, Vol 23, No 2, June. Guo, Jams C.Y. (006). Knmatc Wav Unt Hyrograph for Storm Watr Prctons, Vol 3, No. 4, ASCE J. of Irrgaton an Dranag Engnrng, July/August. Guo, Jams C.Y. (998). "Ovrlan Flow on a Prvous Surfac," IWRA Intrnatonal

More information

Ερωτήσεις και ασκησεις Κεφ. 10 (για μόρια) ΠΑΡΑΔΟΣΗ 29/11/2016. (d)

Ερωτήσεις και ασκησεις Κεφ. 10 (για μόρια) ΠΑΡΑΔΟΣΗ 29/11/2016. (d) Ερωτήσεις και ασκησεις Κεφ 0 (για μόρια ΠΑΡΑΔΟΣΗ 9//06 Th coffcnt A of th van r Waals ntracton s: (a A r r / ( r r ( (c a a a a A r r / ( r r ( a a a a A r r / ( r r a a a a A r r / ( r r 4 a a a a 0 Th

More information

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim. MTH rviw part b Lucian Mitroiu Th LOG and EXP functions Th ponntial function p : R, dfind as Proprtis: lim > lim p Eponntial function Y 8 6 - -8-6 - - X Th natural logarithm function ln in US- log: function

More information

Background: We have discussed the PIB, HO, and the energy of the RR model. In this chapter, the H-atom, and atomic orbitals.

Background: We have discussed the PIB, HO, and the energy of the RR model. In this chapter, the H-atom, and atomic orbitals. Chaptr 7 Th Hydrogn Atom Background: W hav discussd th PIB HO and th nrgy of th RR modl. In this chaptr th H-atom and atomic orbitals. * A singl particl moving undr a cntral forc adoptd from Scott Kirby

More information

Quasi-Classical States of the Simple Harmonic Oscillator

Quasi-Classical States of the Simple Harmonic Oscillator Quasi-Classical Stats of th Simpl Harmonic Oscillator (Draft Vrsion) Introduction: Why Look for Eignstats of th Annihilation Oprator? Excpt for th ground stat, th corrspondnc btwn th quantum nrgy ignstats

More information

From Structural Analysis to FEM. Dhiman Basu

From Structural Analysis to FEM. Dhiman Basu From Structural Analyss to FEM Dhman Basu Acknowldgmnt Followng txt books wr consultd whl prparng ths lctur nots: Znkwcz, OC O.C. andtaylor Taylor, R.L. (000). Th FntElmnt Mthod, Vol. : Th Bass, Ffth dton,

More information

An Overview of Markov Random Field and Application to Texture Segmentation

An Overview of Markov Random Field and Application to Texture Segmentation An Ovrvw o Markov Random Fld and Applcaton to Txtur Sgmntaton Song-Wook Joo Octobr 003. What s MRF? MRF s an xtnson o Markov Procss MP (D squnc o r.v. s unlatral (causal: p(x t x,

More information

SCITECH Volume 5, Issue 1 RESEARCH ORGANISATION November 17, 2015

SCITECH Volume 5, Issue 1 RESEARCH ORGANISATION November 17, 2015 Journal of Informaton Scncs and Computng Tchnologs(JISCT) ISSN: 394-966 SCITECH Volum 5, Issu RESEARCH ORGANISATION Novmbr 7, 5 Journal of Informaton Scncs and Computng Tchnologs www.sctcrsarch.com/journals

More information

Consider a system of 2 simultaneous first order linear equations

Consider a system of 2 simultaneous first order linear equations Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm

More information

The Fourier Transform

The Fourier Transform /9/ Th ourr Transform Jan Baptst Josph ourr 768-83 Effcnt Data Rprsntaton Data can b rprsntd n many ways. Advantag usng an approprat rprsntaton. Eampls: osy ponts along a ln Color spac rd/grn/blu v.s.

More information

Collisions between electrons and ions

Collisions between electrons and ions DRAFT 1 Collisions btwn lctrons and ions Flix I. Parra Rudolf Pirls Cntr for Thortical Physics, Unirsity of Oxford, Oxford OX1 NP, UK This rsion is of 8 May 217 1. Introduction Th Fokkr-Planck collision

More information

On determining absolute entropy without quantum theory or the third law of thermodynamics

On determining absolute entropy without quantum theory or the third law of thermodynamics PAPER OPEN ACCESS On dtrmnng absolut ntropy wthout quantum thory or th thrd law of thrmodynamcs To ct ths artcl: Andrw M Stan 2016 Nw J. Phys. 18 043022 Rlatd contnt - Quantum Statstcal Mchancs: Exampls

More information

PARTIAL DISTRIBUTION FUNCTION AND RADIAL STATISTICAL COEFFICIENTS FOR Be-ATOM

PARTIAL DISTRIBUTION FUNCTION AND RADIAL STATISTICAL COEFFICIENTS FOR Be-ATOM Journal of Krbala Unvrsty, Vol. 7 o.4 Scntfc. 009 PARTIAL DISTRIBUTIO FUCTIO AD RADIAL STATISTICAL COEFFICIETS FOR B-ATOM Mohammd Abdulhussan Al-Kaab Dpartmnt of Physcs, collg of Scnc, Krbala Unvrsty ABSTRACT

More information

ph People Grade Level: basic Duration: minutes Setting: classroom or field site

ph People Grade Level: basic Duration: minutes Setting: classroom or field site ph Popl Adaptd from: Whr Ar th Frogs? in Projct WET: Curriculum & Activity Guid. Bozman: Th Watrcours and th Council for Environmntal Education, 1995. ph Grad Lvl: basic Duration: 10 15 minuts Stting:

More information

Fakultät III Wirtschaftswissenschaften Univ.-Prof. Dr. Jan Franke-Viebach

Fakultät III Wirtschaftswissenschaften Univ.-Prof. Dr. Jan Franke-Viebach Unvrstät Sgn Fakultät III Wrtschaftswssnschaftn Unv.-rof. Dr. Jan Frank-Vbach Exam Intrnatonal Fnancal Markts Summr Smstr 206 (2 nd Exam rod) Avalabl tm: 45 mnuts Soluton For your attnton:. las do not

More information

Discrete Shells Simulation

Discrete Shells Simulation Dscrt Shlls Smulaton Xaofng M hs proct s an mplmntaton of Grnspun s dscrt shlls, th modl of whch s govrnd by nonlnar mmbran and flxural nrgs. hs nrgs masur dffrncs btwns th undformd confguraton and th

More information

Physics of Very High Frequency (VHF) Capacitively Coupled Plasma Discharges

Physics of Very High Frequency (VHF) Capacitively Coupled Plasma Discharges Physcs of Vry Hgh Frquncy (VHF) Capactvly Coupld Plasma Dschargs Shahd Rauf, Kallol Bra, Stv Shannon, and Kn Collns Appld Matrals, Inc., Sunnyval, CA AVS 54 th Intrnatonal Symposum Sattl, WA Octobr 15-19,

More information

(Upside-Down o Direct Rotation) β - Numbers

(Upside-Down o Direct Rotation) β - Numbers Amrican Journal of Mathmatics and Statistics 014, 4(): 58-64 DOI: 10593/jajms0140400 (Upsid-Down o Dirct Rotation) β - Numbrs Ammar Sddiq Mahmood 1, Shukriyah Sabir Ali,* 1 Dpartmnt of Mathmatics, Collg

More information

Journal of Theoretical and Applied Information Technology 10 th January Vol. 47 No JATIT & LLS. All rights reserved.

Journal of Theoretical and Applied Information Technology 10 th January Vol. 47 No JATIT & LLS. All rights reserved. Journal o Thortcal and Appld Inormaton Tchnology th January 3. Vol. 47 No. 5-3 JATIT & LLS. All rghts rsrvd. ISSN: 99-8645 www.att.org E-ISSN: 87-395 RESEARCH ON PROPERTIES OF E-PARTIAL DERIVATIVE OF LOGIC

More information

Lecture 37 (Schrödinger Equation) Physics Spring 2018 Douglas Fields

Lecture 37 (Schrödinger Equation) Physics Spring 2018 Douglas Fields Lctur 37 (Schrödingr Equation) Physics 6-01 Spring 018 Douglas Filds Rducd Mass OK, so th Bohr modl of th atom givs nrgy lvls: E n 1 k m n 4 But, this has on problm it was dvlopd assuming th acclration

More information

A NON-LINEAR MODEL FOR STUDYING THE MOTION OF A HUMAN BODY. Piteşti, , Romania 2 Department of Automotive, University of Piteşti

A NON-LINEAR MODEL FOR STUDYING THE MOTION OF A HUMAN BODY. Piteşti, , Romania 2 Department of Automotive, University of Piteşti ICSV Carns ustrala 9- July 7 NON-LINER MOEL FOR STUYING THE MOTION OF HUMN OY Ncola-oru Stănscu Marna Pandra nl Popa Sorn Il Ştfan-Lucan Tabacu partnt of ppld Mchancs Unvrsty of Ptşt Ptşt 7 Roana partnt

More information

EDGE PEDESTAL STRUCTURE AND TRANSPORT INTERPRETATION (In the absence of or in between ELMs)

EDGE PEDESTAL STRUCTURE AND TRANSPORT INTERPRETATION (In the absence of or in between ELMs) I. EDGE PEDESTAL STRUCTURE AND TRANSPORT INTERPRETATION (In th absnc of or n btwn ELMs) Abstract W. M. Stacy (Gorga Tch) and R. J. Grobnr (Gnral Atomcs) A constrant on th on prssur gradnt s mposd by momntum

More information

SPECTRUM ESTIMATION (2)

SPECTRUM ESTIMATION (2) SPECTRUM ESTIMATION () PARAMETRIC METHODS FOR POWER SPECTRUM ESTIMATION Gnral consdraton of aramtrc modl sctrum stmaton: Autorgrssv sctrum stmaton: A. Th autocorrlaton mthod B. Th covaranc mthod C. Modfd

More information

Einstein Equations for Tetrad Fields

Einstein Equations for Tetrad Fields Apiron, Vol 13, No, Octobr 006 6 Einstin Equations for Ttrad Filds Ali Rıza ŞAHİN, R T L Istanbul (Turky) Evry mtric tnsor can b xprssd by th innr product of ttrad filds W prov that Einstin quations for

More information

VISUALIZATION OF DIFFERENTIAL GEOMETRY UDC 514.7(045) : : Eberhard Malkowsky 1, Vesna Veličković 2

VISUALIZATION OF DIFFERENTIAL GEOMETRY UDC 514.7(045) : : Eberhard Malkowsky 1, Vesna Veličković 2 FACTA UNIVERSITATIS Srs: Mchancs, Automatc Control Robotcs Vol.3, N o, 00, pp. 7-33 VISUALIZATION OF DIFFERENTIAL GEOMETRY UDC 54.7(045)54.75.6:59.688:59.673 Ebrhard Malkowsky, Vsna Vlčkovć Dpartmnt of

More information

EXTENDED MULTISCALE FINITE ELEMENT METHOD FOR GEOMETRICALLY NONLINEAR ANALYSIS OF THIN COMPOSITE PLATES ON BENDING PROBLEMS

EXTENDED MULTISCALE FINITE ELEMENT METHOD FOR GEOMETRICALLY NONLINEAR ANALYSIS OF THIN COMPOSITE PLATES ON BENDING PROBLEMS 21 st Intrnatonal Confrnc on Compost Matrals X an, 20-25 th August 2017 XTNDD MULTISCAL FINIT LMNT MTHOD FOR GOMTRICALLY NONLINAR ANALYSIS OF THIN COMPOSIT PLATS ON BNDING PROBLMS Mngfa Rn 1, J Cong 1

More information

Green Functions, the Generating Functional and Propagators in the Canonical Quantization Approach

Green Functions, the Generating Functional and Propagators in the Canonical Quantization Approach Grn Functons, th Gnratng Functonal and Propagators n th Canoncal Quantzaton Approach by Robrt D. Klaubr 15, 16 www.quantumfldthory.nfo Mnor Rv: Spt, 16 Sgnfcant Rv: Fb 3, 16 Orgnal: Fbruary, 15 Th followng

More information

cycle that does not cross any edges (including its own), then it has at least

cycle that does not cross any edges (including its own), then it has at least W prov th following thorm: Thorm If a K n is drawn in th plan in such a way that it has a hamiltonian cycl that dos not cross any dgs (including its own, thn it has at last n ( 4 48 π + O(n crossings Th

More information

Chapter 2 Theoretical Framework of the Electrochemical Model

Chapter 2 Theoretical Framework of the Electrochemical Model Chaptr 2 Thortcal Framwork of th Elctrochmcal Modl Th basc prncpls of th lctrochmcal modl for L on battry s dvlopd from fundamntals of thrmodynamcs and transport phnomna. Th voluton of th lctrochmcal modl

More information

DIFFERENTIAL EQUATION

DIFFERENTIAL EQUATION MD DIFFERENTIAL EQUATION Sllabus : Ordinar diffrntial quations, thir ordr and dgr. Formation of diffrntial quations. Solution of diffrntial quations b th mthod of sparation of variabls, solution of homognous

More information

Representation and Reasoning with Uncertain Temporal Relations

Representation and Reasoning with Uncertain Temporal Relations Rprsntaton and Rasonng wth Uncrtan Tmporal Rlatons Vladmr Ryaov (*) Sppo Puuronn (*) Vagan Trzyan (**) (*) Dpartmnt of Computr Scnc and Informaton Systms Unvrsty of Jyvaskyla P.O.Box 5 SF-4051 Jyvaskyla

More information

Stress-Based Finite Element Methods for Dynamics Analysis of Euler-Bernoulli Beams with Various Boundary Conditions

Stress-Based Finite Element Methods for Dynamics Analysis of Euler-Bernoulli Beams with Various Boundary Conditions 9 Strss-Basd Fnt Elmnt Mthods for Dynamcs Analyss of Eulr-Brnoull Bams wth Varous Boundary Condtons Abstract In ths rsarch, two strss-basd fnt lmnt mthods ncludng th curvatur-basd fnt lmnt mthod (CFE)

More information

MP IN BLOCK QUASI-INCOHERENT DICTIONARIES

MP IN BLOCK QUASI-INCOHERENT DICTIONARIES CHOOL O ENGINEERING - TI IGNAL PROCEING INTITUTE Lornzo Potta and Prr Vandrghynst CH-1015 LAUANNE Tlphon: 4121 6932601 Tlfax: 4121 6937600 -mal: lornzo.potta@pfl.ch ÉCOLE POLYTECHNIQUE ÉDÉRALE DE LAUANNE

More information

CHAPTER 1 PLANAR FLUID INTERFACES

CHAPTER 1 PLANAR FLUID INTERFACES Planar Flud Intrfacs Chaptr n th book: P.A. Kralchvsky and K. Nagayama, Partcls at Flud Intrfacs and Mmbrans (Attachmnt of Collod Partcls and Protns to Intrfacs and Formaton of Two-Dmnsonal Arrays) Elsvr,

More information

ECE507 - Plasma Physics and Applications

ECE507 - Plasma Physics and Applications ECE57 - Plasa Physcs and Applcatons Lctur Prof. Jorg Rocca and Dr. Frnando Toasl Dpartnt of Elctrcal and Coputr Engnrng Introducton: What s a plasa? A quas-nutral collcton of chargd (and nutral) partcls

More information

Hydrogen Atom and One Electron Ions

Hydrogen Atom and One Electron Ions Hydrogn Atom and On Elctron Ions Th Schrödingr quation for this two-body problm starts out th sam as th gnral two-body Schrödingr quation. First w sparat out th motion of th cntr of mass. Th intrnal potntial

More information

What are those βs anyway? Understanding Design Matrix & Odds ratios

What are those βs anyway? Understanding Design Matrix & Odds ratios Ral paramtr stimat WILD 750 - Wildlif Population Analysis of 6 What ar thos βs anyway? Undrsting Dsign Matrix & Odds ratios Rfrncs Hosmr D.W.. Lmshow. 000. Applid logistic rgrssion. John Wily & ons Inc.

More information

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002 3.4 Forc Analysis of Linkas An undrstandin of forc analysis of linkas is rquird to: Dtrmin th raction forcs on pins, tc. as a consqunc of a spcifid motion (don t undrstimat th sinificanc of dynamic or

More information

8. Linear Contracts under Risk Neutrality

8. Linear Contracts under Risk Neutrality 8. Lnr Contrcts undr Rsk Nutrlty Lnr contrcts r th smplst form of contrcts nd thy r vry populr n pplctons. Thy offr smpl ncntv mchnsm. Exmpls of lnr contrcts r mny: contrctul jont vnturs, quty jont vnturs,

More information

CHAPTER 4. The First Law of Thermodynamics for Control Volumes

CHAPTER 4. The First Law of Thermodynamics for Control Volumes CHAPTER 4 T Frst Law of Trodynacs for Control olus CONSERATION OF MASS Consrvaton of ass: Mass, lk nrgy, s a consrvd proprty, and t cannot b cratd or dstroyd durng a procss. Closd systs: T ass of t syst

More information

Construction of asymmetric orthogonal arrays of strength three via a replacement method

Construction of asymmetric orthogonal arrays of strength three via a replacement method isid/ms/26/2 Fbruary, 26 http://www.isid.ac.in/ statmath/indx.php?modul=prprint Construction of asymmtric orthogonal arrays of strngth thr via a rplacmnt mthod Tian-fang Zhang, Qiaoling Dng and Alok Dy

More information

2. Grundlegende Verfahren zur Übertragung digitaler Signale (Zusammenfassung) Informationstechnik Universität Ulm

2. Grundlegende Verfahren zur Übertragung digitaler Signale (Zusammenfassung) Informationstechnik Universität Ulm . Grundlgnd Vrfahrn zur Übrtragung dgtalr Sgnal (Zusammnfassung) wt Dc. 5 Transmsson of Dgtal Sourc Sgnals Sourc COD SC COD MOD MOD CC dg RF s rado transmsson mdum Snk DC SC DC CC DM dg DM RF g physcal

More information

Naresuan University Journal: Science and Technology 2018; (26)1

Naresuan University Journal: Science and Technology 2018; (26)1 Narsuan Unvrsty Journal: Scnc and Tchnology 018; (6)1 Th Dvlopmnt o a Corrcton Mthod or Ensurng a Contnuty Valu o Th Ch-squar Tst wth a Small Expctd Cll Frquncy Kajta Matchma 1 *, Jumlong Vongprasrt and

More information