A KINETIC RELAXATION MODEL FOR BIMOLECULAR CHEMICAL REACTIONS

Size: px
Start display at page:

Download "A KINETIC RELAXATION MODEL FOR BIMOLECULAR CHEMICAL REACTIONS"

Transcription

1 Bullen of he Inue of Mahemac Academa Snca (New Sere) Vol. (7), No., pp A KINETIC RELAXATION MODEL FOR BIMOLECULAR CHEMICAL REACTIONS BY M. GROPPI AND G. SPIGA Dedcaed o he memory of Franceco Premuda Abrac A recenly propoed conen BGK ype approach for chemcally reacng ga mxure dcued, whch accoun for he correc rae of ranfer for ma, momenum and energy, and recover he exac conervaon equaon and collon equlbra, ncludng ma acon law. In parcular, he hydrodynamc lm derved by a Chapman Enkog procedure, and compared o exng reul for he reacve and non reacve cae. In addon, numercal reul are preened for non oropc pace homogeneou problem n whch phycal condon allow reducon of he negraon over he hree dmenonal velocy pace o only one dmenon.. Inroducon Knec approache o chemcally reacng ga mxure conue he proper ool of nvegaon n everal crcumance, and allow a rgorou dervaon and jufcaon for he mo common macrocopc decrpon ued n he hydrodynamc regme [, ]. On he oher hand, nonlnear chemcal collon negral of Bolzmann ype are defnely no eay o deal wh Receved December, and n reved form March,. AMS Subjec Clafcaon: 8C, 76P. Key word and phrae: Knec heory, chemcal reacon, BGK model. Th work wa performed n he frame of he acve ponored by MIUR (Projec Mahemacal Problem of Knec Theore ), by INdAM, by GNFM, and by he Unvery of Parma (Ialy), and by he European TMR Nework Hyperbolc and Knec Equaon: Aympoc, Numerc, Analy. 69

2 6 M. GROPPI AND G. SPIGA [June [] and mpler approxmae model would be convenen for praccal applcaon. Followng he experence of ga knec heory, relaxaon me approxmaon of he ype propoed by Bhanagar, Gro, and Krook [] and by Welander [] (uually denoed a BGK model) eem o be he fr canddae n ha drecon. Typcally, he fne rucure of he collon operaor replaced by a blurred mage whch rean only qualave and average propere, and precrbe relaxaon oward a local equlbrum wh a rengh deermned by a uable characerc me. The procedure mu be carefully deved n order o avod well known drawback whch are for a mul pece ga [6, 7], a unavodable when dealng wh a bmolecular chemcal reacon A +A A +A () a we hall do n h work. Some relaxaon model for he chemcal collon operaor have been nroduced que recenly n he leraure [8, 9]. In parcular, he laer paper follow he conen BGK raegy propoed n [7] for ner mxure, whch preerve povy and ndfferenably prncple, and reor o a ngle BGK collon erm for each pece ( =,,, ), decrbng boh mechancal (elac) and chemcal encouner, and drfng he drbuon funcon f oward a uable local Maxwellan M. Indeed, he macrocopc parameer relevan o uch equlbrum are no he acual feld, momen of f (number deny n, drf velocy u, emperaure T ), bu ome oher fcou feld n,u,t, conruced ad hoc n order o recover he exac exchange rae for ma, momenum and energy, a gven by he whole Bolzmann-lke collon operaor. The machnery of coure heaver han for chemcally ner mxure, nce ha o accoun for ranfer of ma and for energe of chemcal lnk, bu made poble by he explc knowledge (for Maxwell ype neracon) of he momen of he chemcal collon negral []. I ha been hown n [9] ha uch relaxaon model of BGK ype a conen approxmaon of he Bolzmann knec decrpon, whch reproduce n parcular he correc macrocopc conervaon equaon and he correc collon equlbra, a Maxwellan a a common ma velocy and emperaure, and wh number dene relaed by he well known ma acon law. The preen paper amed a proceedng furher along he lne propoed n [9] by nvegang ome apec ha were lef here a a fuure work. We hall focu n parcular on wo pon here. The fr he hydrodynamc lm for mall collon me of he preen BGK equaon

3 7] A KINETIC RELAXATION MODEL 6 (va an aympoc Chapman Enkog expanon) n he collon domnaed regme, whenhereacvecollon meareofheameorderahemechancal collon me, and boh hermal and chemcal equlbrum are reached evenually. Th regme ha been already nroduced by Ludwg and Hel [], and nvegaed n parcular by Ern and Govanggl [] for arbrary reacve ga mxure of polyaomc pece ung Enkog expanon and Bolzmann-ype collon erm. The econd pon he exenon of llurave numercal calculaon o non oropc uaon, lke hoe whch are ymmerc around one pace drecon (of nere for nance n he clacal evaporaon condenaon problem). A h ll prelmnary age we conder only a ngle bmolecular reacon beween monoaomc pece and wh Maxwell ype neracon, bu he BGK raegy can be exended o more general uaon, where he advanage relaed o he avalably of explc formula for coeffcen and o he much eaer numercal approach become even more gnfcan. I mgh be noced ha reacon () nclude a a pecal cae hree aom reacon lke AB +C B +AC, () for whch a lghly mpler reamen would be n order []. The arcle organzed a follow. Afer preenng n Secon he man feaure of he condered BGK model, Secon devoed o a dealed aympoc analy of he Chapman Enkog ype leadng o cloed macrocopc equaon a he Naver Soke level, whch are compared o analogou reul obaned boh n he chemcally ner cae from BGK equaon [7] and n he chemcally reacve cae va Grad expanon echnque []. Secon deal nead wh he pecalzaon of he relaxaon model o non-oropc n velocy and one-dmenonal n pace phycal problem, n whch, followng a procedure propoed n [], he compuaonal machnery become lgher hank o he reducon of he hree fold velocy negral o negraon on he real lne. Fnally numercal reul for ome llurave pace-homogeneou e cae are preened and brefly dcued.. BGK Equaon We recall and dcu here he man feaure of he relaxaon me approxmaon nroduced n [9] for he chemcal reacon model worked ou

4 6 M. GROPPI AND G. SPIGA [June n [, ]. Model knec equaon read a f f +v x = ν ( M f ) =,...,, () where M a local Maxwellan wh dpoable calar parameer M (v) = n ( m πkt ) ] exp [ m (v u ) KT =,..., () andν henvereofhehrelaxaon me, poblydependngon macrocopc feld, bu ndependen of v. The above auxlary feld n, u, T are deermned by requrng ha he exchange rae for ma, momenum and oal (knec plu chemcal) energy followng from () concde wh hoe deduced from he correpondng Bolzmann equaon. The laer rae are known analycally for Maxwell molecule [], even n he chemcal frame, and may be expreed n erm of ome phycal parameer lke mae m (wh m +m = m +m = M), reduced mae µ r, energe of chemcal lnk E, and energy dfference beween reacan and produc E = = λ E (wh λ =λ = λ = λ = ), convenonally aumed o be pove. Oher eenal parameer are he mcrocopc collon frequence (conan wh repec o he mpac peed g n our aumpon) and π νk r (g) = νr k (g) = πg σ r (g,χ)( coχ) k nχdχ k =,, () ν (g) = πg π where σ and for dfferenal cro econ, and ν r conran on he exchange rae reul n n = n + λ ν Q m n u = m n u + ν r= n KT = n KT m [n u n (u ) ]+ ν σ (g,χ)nχdχ, (6) νr. The above φ r u r + λ ν m uq (7) ψ r T r r=

5 7] A KINETIC RELAXATION MODEL 6 + ν r= ν r µ r m +m rn n r (m u +m r u r ) (u r u ) [ + λ Q ν m u + M m KT + M KT λ ] M m M E, where Γ an ncomplee gamma funcon [6] and Q = ν ( Γ π, E KT ) [ n n ( m m m m ( E KT Γ ) e E KT (, E KT ) ) e E KT n n ]. (8) In addon, he ymmerc ngular marce Φ and Ψ are defned by φ r = ν r µ r n n r δ r ψ r = Kν r µ r l= m +m rn n r δ r K ν l µ l n n l (9) l= ν l µ l m +m ln n l, () and global macrocopc parameer (ncludng ma deny ρ, vcoy enorpandhea fluxq) are expreedn erm of ngle componen parameer by n = n, ρ = m n, u = m n u, ρ = = = nkt = n KT + ρ (u k u k u ku k ), = = [ ] (u p = p + ρ u ) j u u j δ (u k u k u ku k ), = = q = q + p ( ) u j u j + n KT (u u ) = = = + ρ (u k u k)(u k u k)(u u ). = () Acual conerved quane n he Bolzmann collon proce are n number

6 6 M. GROPPI AND G. SPIGA [June of even, and may be choen a hree combnaon of number dene lke n +n, n +n, n +n, he hree componen of he ma velocy u, and he oal nernal (hermal + chemcal) energy nkt + = E n. Th yeld a e of 7 calar exac non-cloed macrocopc conervaon equaon (n +n r )+ x (n u +n r u r ) = (,r) = (,), (,), (,) (ρu)+ x (ρu u+p) = ( ) [( ρu + nkt + E n + x ρu + nkt+ E n )u = = ] +P u+q+ E n (u u) = () = where P = nkti + p he preure enor. Noce ha he hree ndependen deny combnaon conerved by collon would repreen he aomc dene n he cae of reacon (). The e () of exac conervaon equaon correcly reproduced by he relaxaon model () [9], and anoher ndcaon of he robune of h approxmaon he fac, proved agan n [9], ha collon equlbra alo concde wh he acual one, and are provded by a even parameer famly of Maxwellan M (v) = n ( m πkt ) ] exp [ m KT (v u), =,...,, () wh equlbrum dene relaed by he well known ma acon law of chemry n n n n = ( µ µ ) ( ) E exp. () KT Oher nereng feaure are n order for hee BGK equaon, bu are le crucal for he preen purpoe, and wll no be dcued here; he nereed reader referred o [9] for deal. Anoher pon ha wa lef open n [9] he mo convenen choce of he nvere relaxaon me ν, whch n fac wll be maer of fuure nvegaon. In h paper we wll ck o he opon of reproducng he acual average number of collon (regardle f mechancal or chemcal) akng place for each pece, whch

7 7] A KINETIC RELAXATION MODEL 6 lead o ν = ν = ν = ν = r= r= r= r= ν r n r + ( Γ π, E ) ν KT n ν r nr + ( Γ π, E KT ν r n r + ( Γ π, E KT ν r nr + ( Γ π, E KT ) ν n () )( µ µ )( µ µ ) e E KT ν n ) e E KT ν n.. Hydrodynamc Regme Equaon () may be caled, meaurng all quane n erm of ome ypcal value n order o make hem dmenonle. Ung macrocopc cale for pace and me varable, and meaurng relaxaon me n un of a ypcal mcrocopc value, lead o equaon whch look exacly he ame a (), f he ame ymbol reaned for dmenonle varable, wh only he appearance of he Knuden number ε, rao of he mcrocopc o he macrocopc me cale, downar on he rgh hand de f f +v x = ε ν ( M f ) =,...,. (6) The parameer ε mall n collon domnaed regme, and end o zero n he connuum lm we are nereed n. We hall perform a formal Chapman Enkog aympoc analy wh repec o uch mall parameer, o fr order accuracy, n order o acheve Naver Soke lke hydrodynamc equaon a a cloure of he conervaon equaon (). To h end he drbuon funcon f are expanded a f = f () +εf (), (7) and conequenly mlar expanon hold for n, u, T. However, hydrodynamc varable mu reman unexpanded [7], namely n + n r = n () +n r() (,r) = (,),(,),(,)

8 66 M. GROPPI AND G. SPIGA [June u = ρ m n () u () (8) = nt + E n = nt() + = E n () (wh n = = n() and ρ = = m n () no expanded eher), yeldng he conran = n () = n () = n () = n () = n m n () u () + m n () u () =. = = E T() (9) Noce ha nernal energy, a uual, an hydrodynamc feld, bu, conrary o clacal (non reacve) ga dynamc for monoaomc parcle, no amenable only o he ga emperaure T, o ha he laer mu be alo expanded, a T () +εt (). Thee expanon nduce of coure mlar expanon for all varable, n parcular for he auxlary feld and for he Maxwellan M. Themacrocopc collon frequence ν, dependng on he dene n, mu be expanded a well. Equang fnally equal power of ε n (6) yeld o leadng order (ε ) M () (v) f () (v) =, () and o he nex order (ε ) [ ] ν () M () (v) f() (v) = f () +v f() x () where he fr erm of a formal expanon of he me dervave operaor, o be condered a an unknown of he problem... Zero order oluon Equaon (), () are uneay, hghly nonlnear, negro funconal equaon n he unknown f (), nce her negral momen are needed n he defnon of he parameer deermnng he auxlary Maxwellan M (). However, equaon () yeld, n cacade, n () = n (), u () = u (),

9 7] A KINETIC RELAXATION MODEL 67 T () = T (), hen Q () = ν ( Γ π, E T () ) [ n () n () ( m m m m from whch he zero order ma acon law follow We have furher on n () n () n () n () = ( µ µ ) e E T () n () n () ] =, () ) ( ) E exp T (). () φ r() u r() =, =,..., () = from whch, due o he propere of marx φ r() [], u () = u for all and m n () u () =, () and fnally = ψ r() T r() =, =,..., (6) = mplyng, agan for he propere of marx ψ r() [], T () = T () for all. Noce ha all pece hare, o leadng order, he ame drf velocy, equal o he global ma velocy u, and he ame emperaure, equal o he leadng erm of he global emperaure T, n agreemen wh he fac ha u an hydrodynamc varable, wherea T no, and mu be expreed a T () +εt (). In concluon we have f () (v) = M () (v) = n () ( m πt () ) exp [ m T ()(v u) ], (7) for =,...,, wh even free parameer, nce he n () and T () mu be bound ogeher by (). Equaon (7) yeld mmedaely p () = and q () = for all, from whch alo p () = and q () = for he leadng erm of vcoy enor and hea flux. Before gong on o he nex ep, we can elec a unknown for he

10 68 M. GROPPI AND G. SPIGA [June ough Naver Soke ype equaon he even calar varable n (), =,...,, and u, and expre T (), wherever needed, by mean of (). Conervaon equaon may be rewren a ( n () +n r()) + [ (n x () +n r()) u] +ε x ( n () u () +n r() u r()) = (,r) = (,), (,), (,) (ρu)+ x (ρu u)+ x (nt() )+ε x (nt() )+ε x p() = ( ) ρu + nt() + E n () [( = ] + x ρu + nt() + E n )u () +ε (nt () u ) x = +ε ( p () u ) ( ) +ε x x q() +ε x E n () u () = (8) and her cloure acheved f we are able o deermne, reorng o (), = conuve equaon for he quane u (), T (), p () we have furher nt () = n () T (), p () = = = p (), q () = = q (), and q(), for whch + T() = n () u (). (9).. Fr order correcon Sandard manpulaon allow o evaluae he me and pace dervave of f (), and o expre M () a he dervave of M wh repec o ε a ε = ; n h way we oban a formal oluon of () a { f () = f () n ()n() + m T ()u() (v u)+ [ m T ()T() T ()(v u) ] } { ν () f () n () n () + m u T () (v u)+ T () [ m T () T ()(v u) ] } { ν () f () n () m u n () v+ x T () x :v (v u) } + T () [ m T () x T ()(v u) ] v ()

11 7] A KINETIC RELAXATION MODEL 69 where n () = n () + λ ν () Q () m n () u () = m n () u () + ν () n () T() = n () T() + ν () + λ ν () ( [ E Q () M m T () M T() Γ and Q () = n () Q, wh ( Q = ν Γ π, E ) T () {[ n () +n () + n n () n () φ r() u r() () r= ψ r() T r() r= ) e E T () (, E T () ) λ ] M m M E, ( E ) ]( m m ) e E T () m m T () +n () +n ()}. () A paen algebra allow now o recompue he auxlary feld n (), u (), from he drbuon funcon () and o make h oluon effecve T () by ung () and (). Skppng echncal deal, deny feld provde he compably condon n () + x (n() u) = λ n () Q =,...,. () Velocy feld yeld he compably condon u and he algebrac equaon = u +u x = ρ x (nt() ) () φ r() u r() = x (n() T () ) ρ() ρ x (nt() ), =,...,. () Th e of equaon he ame whch are when he Chapman Enkog algorhm appled o he reacve Grad momen equaon [], and, a he ame me, concde wh he reul obaned n [7] for a chemcally

12 6 M. GROPPI AND G. SPIGA [June ner mxure (apar from he upercrp (), no neceary here). The marx φ r() ngular, bu () unquely olvable when coupled o he conran (). The oluon, mua muand, goe hrough he ame ep of eher [7] or [], and may be ca a u () = r= L r() ρ () ρ r() x (nr() T () ) (6) where L r() a uable marx, dependng on he n (), whch can be proved o be ymmerc [7], reproducng hu he Onager relaon [8]. The expreon gven by (6) alo concde wh clacal expreon for dffuon veloce of ner mxure [9, ], he only dfference beng he preence of n () nead of he acual dene n. Indeed, marx L r() conrbued only by elac caerng and ndependen from he chemcal reacon and from E, and number dene would be hydrodynamc feld n he non reacve cae. Fnally, emperaure feld recompued from () yeld, afer ome algebra, a e of lnear algebrac equaon for he T () wh marx coeffcen ψ r() (no hown here for brevy, nce uele for our purpoe) plu he compably condon T () +u T() x + T() x u = n Q E n (). (7) Now T () can be evaluaed from () and T () he dervave n (), a T () = (T() ) E may be ca n erm of λ n () n (), (8) = whch mple an addonal compably condon beween () and (7), deermnng n () n erm of he choen unknown and of her paal graden. Bearng he fr of (9) n mnd, and reorng o () n order o elmnae unneceary paal graden, he calculaon yeld T () = [+ T(){ Q ( T ()) n ]} E n () u, (9) x and nereng o remark ha concde wh he emperaure correcon found n [] for he ame phycal problem by reorng o he Grad =

13 7] A KINETIC RELAXATION MODEL 6 momen mehod. Of coure h correcon pecfc for he chemcal reacon () and would no appear n any non reacve ga mxure. In parcular, T () would vanh n he lm E... Vcou re and hea flux In prncple, he aympoc problem o fr order for he drbuon funcon olved, nce eay o ee ha he algebrac yem for he T () unquely olvable a well, and ha alo all zero order me dervave can be made explc. However, n order o acheve he dered hydrodynamc equaon from (8), uffce o compue p () and q () by uable negraon of he drbuon funcon. More precely we have P () =m R (v u )(v j u j )f () (v)d v, p () =P () δ rp() () and q () = T() n () u () + R m (v u )(v u) f () d v () o be ued hen n (9). When compung P (), no dffcul o check ha he addend of f () nvolvng he fr order correcon yeld a enor proporonal o he deny, whch conrbue nohng o he devaorc par p (), and he ame occur o he econd addend, nvolvng he operaor. For he hrd addend, nvolvng paal graden, he ame feaure n order for he graden of n () and T (), wherea he rae of ran enor conrbue a erm n() T () ν () [δ ( u x + x u ) ( u +( δ ) + u )] j x j x () where he quare bracke he um of u x j + u j x and of an oropc enor. Gong on and compung p () and p (), one end up wh p () = T () = n () ν () ( u + u j x j x x uδ ). () Th Newonan conuve equaon correpond o a vcoy coeffcen µ = T () = n () ν (), ()

14 6 M. GROPPI AND G. SPIGA [June exacly he ame obaned n [7] from he BGK equaon for a chemcally ner ga mxure. An expreon of he ame ype wa obaned for he reacve cae n [] by he Grad mehod, bu wh a dfferen vcoy coeffcen, ha wa provded here by formal nveron of uable marce. Pang o (), we may pl agan f () n hree dfferen addend and evaluae eparaely he relevan conrbuon. The fr one, wh fr order correcon, leave afer negraon only he erm T() n () u (). In a mlar fahon, from he econd addend we have only T()n() ν () u. More conrbuon come from he paal graden, and hey can be pu ogeher a T () T () m ν () o ha here reul n () q () = n () T () ν () n () T () x T()n() m ν () [ u ν () u u n() T () T () x m ν (), x +u u x + ] ρ () (n () T () ) x T () x + T() n () (u () u() ) () and, upon ung he econd of () for u (), and () and () for he quare bracke, we end up mply wh In concluon, from (9) q () = T() q () = = n() T () T() m ν (). (6) x n () m ν () T () x + T() = a Fourer conducon law wh a hermal conducvy λ = T() = n () m ν () n () u (), (7). (8) Once more, h reul concde wh he correpondng one for he ame BGK raegy appled o a non reacve mxure [7], and reproduce he rucure of hea flux for he reacve cae a obaned n [], where agan conducvy wa gven by he nveron of ceran marce.

15 7] A KINETIC RELAXATION MODEL 6.. Concluon Summarzng our reul, hydrodynamc equaon of Naver Soke ype for he preen relaxaon model of he chemcal reacon () n a ga mxure provded by he e (8) of even paral dfferenal equaon for he even calar unknown n () and u, coupled o he rancendenal algebrac equaon () for T (), and o he conuve equaon (6) for u (), (9) for T (), () for p (), and (7) for q(). All ogeher, hey read a ( n () +n r()) + [ (n () +n r()) u] +ε ( n () u () +n r() u r()) = x x (,r) = (,), (,), (,) (ρu)+ x (ρu u)+ x (nt() )+ε x (nt() )+ε x p() = ( ρu + nt() + E n ()) + [( x ρu + nt() + E n ()) ] u = +ε x (nt () u ) +ε x (p () u ) +ε x q() +ε x n () n () n () n () = u () = r= ( µ µ ) ( ) E exp T () L r() ρ () ρ r() x (nr() T () ) = ( E n () u ()) = = T () = [+ T(){ Q ( T ()) n ]} E n () x u = p () = T () n () ( u + u j ) x j x x uδ = q () = T() ν () = n () m ν () T () x + T() = n () u (). (9) Euler equaon correpond o he lmng cae ε =. Th BGK aympoc lm ha he ame form of he Bolzmann aympoc lm worked ou n [] va a Grad momen expanon, and only he defnon of vcoy coeffcen and hermal conducvy dffer n he wo approache. The preen reul dffer nead ubanally from he BGK aympoc lm ha would be n order f he chemcal reacon were wched off, ha wa

16 6 M. GROPPI AND G. SPIGA [June horoughly derved and dcued n [7]. In uch a cae n fac he kernel of he collon operaor egh dmenonal, and all dene, a well a he emperaure, are hydrodynamc varable, o ha Naver Soke equaon are made up by egh paral dfferenal equaon, ncludng connuy equaon for each pece. In oher word, alo wh Bolzmann model, he lnearzed collon operaor n he preen regme conan erm accounng for reacve collon, a oppoed o he one ha would be obaned f chemcal reacon were aben, or were condered a much lower proce. I remarkable however ha all fr order correcon needed for he cloure (excep, of coure, he emperaure correcon, or addonal reacve calar preure, whch pecular of he chemcal reacon [, ]) are expreed by conuve equaon whch are, mua muand, he ame n he reacve and n he non reacve cae. Th fac reproduce known reul eablhed a he Bolzmann level []. A he BGK level, here are addonally reacve conrbuon n he ranpor coeffcen hrough he facor ν n (), whch are affeced by he reacve collon frequency ν. Thee conrbuon however affec only vcoy and hermal conducvy hrough ν () n () and (8).. Axally Symmerc Problem A aed n he Inroducon, we pecalze now our BGK equaon (), (), (7) o problem wh axal ymmery wh repec o an ax (ay, x x), n he ene ha all ranvere paal graden vanh, and he ga drfng only n he axal drecon. In oher word, drbuon funcon f depend on he full velocy vecor v (molecular rajecore are hree dmenonal) bu dependence on he azmuhal drecon around he ymmery ax uch ha all ranvere componen of he macrocopc veloce u vanh. Th occur, for nance, when he drbuon funcon depend on v only hrough modulu and laudnal angle wh repec o ha ax. A well known n he leraure [], h allow a enble mplfcaon of he calculaonal apparau, and a praccal reducon o a fully one dmenonal problem, hough decrbng ll a hree dmenonal velocy pace. On he oher hand, h knd of problem no only mporan for heorecal nvegaon, bu alo que frequen n praccal applcaon: uffce o recall here he clacal evaporaon condenaon problem []. I mmedaely een ha he prevou aumpon mply u = u =,

17 7] A KINETIC RELAXATION MODEL 6 and hen u = u = and u = u = (for all ). I convenen o nroduce new unknown φ = f dv dv, ψ = (v +v)f dv dv, () (negraon range from o + ), each dependngonly on one pace and one velocy varable. Of coure, φ and ψ provde a reduced decrpon of he velocy drbuon, f compared o f, bu hey uffce for everal purpoe, a hown below. Droppng he ubcrp alo from veloce, he fundamenal macrocopc parameer are n fac deermned by φ and ψ a n = φ dv, u = n vφ dv, Seng KT m = n [ M (v) = n ( m πkt (v u ) φ dv + ] ψ dv. () ) / ] exp[ m (v u ), () KT mulplcaon of () by and (v + v ) and negraon wh repec o (v,v ) R yeld hen he par of BGK equaon φ +v φ x = ν (M φ ) ψ +v ψ x = ν ( KT m M ψ ), () whch are acually coupled, nce parameer n, u, T appearng n () follow from (7) and from (). Collon equlbra are gven by φ = M, ψ = KT m M, where M (v) = n ( m πkt ) / ] exp[ m (v u). () KT I now a fve parameer famly of Maxwellan, wh dene relaed by he ma acon law (). We have proceed numercally equaon () n ome mple pace homogeneou e cae, manly for llurave purpoe, whou havng n mnd a pecfc reacve mxure, all quane beng meaured n u-

18 66 M. GROPPI AND G. SPIGA [June able cale. Momen of he drbuon funcon φ and ψ appearng n () have been numercally evaluaed by mean of he compoe rapezodal quadraure rule on a uffcenly large bounded velocy nerval [ R, R]. A reference problem (Problem A) we have aken an oropcally caerng mxure (hen ν r = νr ) where he mcrocopc par collon frequence ν r are gven by Table. Table. Elac collon frequence ν r. ν r The reacve endohermc chemcal collon frequency nead ν =., namely he ypcal chemcal collon me abou one order of magnude larger han he ypcal caerng collon me. Th done merely n order o pobly eparae n he numercal oupu he effec due o mechancal encouner from hoe due o chemcal reacon, and underood ha we reman n he phycal regme decrbed n he Inroducon [, ]. Mae ake he value m =.7, m =.6, m = 8, m = 7., () choen ju a an llurave example, and he energy dfference n he chemcal bond E =. Inal condon have been eleced a Maxwellan hape characerzed by he parameer n () = 9 n () = n () = n () = u () = u () = u () = u () = 6 T () = T () = T () = T () =. (6) Thee value deermne unquely, va he fve dpoable ndependen fr negral (n +n, n +n, n +n, u, and nt + = E n ) and he ma acon law (), he unque Maxwellan equlbrum, decrbed by (), wh parameer whch urn ou o be n =.688 n =.687 n =. n = 9. u =.96 T =.. (7)

19 7] A KINETIC RELAXATION MODEL 67 Evoluon of all macrocopc parameer can be deduced from () upon negraon of he numercally compued φ and ψ. A dcued n [9], uch evoluon correcly reproduced by he preen BGK equaon, and ndeed our reul concde o compuer accuracy wh he one of []. Typcal rend are hown n Fgure and. Equalzaon of veloce and emperaure due o elac caerng, and acually occur on he hor (mechancal) cale. Relaxaon of dene n and emperaure T (non conerved quane) due nead o chemcal neracon, and ruled n 7 6 u 9.. Fgure. Trend of dene n (lef) and of veloce u (rgh) veru me for problem A... T T Fgure. Tme evoluon of emperaure T on he hor (lef) and on he long (rgh) me cale for Problem A.

20 68 M. GROPPI AND G. SPIGA [June by he longer reacve characerc me. In he condered problem we oberve an overall ranformaon of produc no reacan, and a correpondng emperaure ncreae due o ranformaon of energy from chemcal o hermal. In general, overhoo or underhoo of ome pece emperaure can occur, a ndcaed by Fgure. 8 6 φ - - v 7 Fgure. Funcon φ veru and v for Problem A. Relaxaon of he drbuon funcon φ oward he equlbra () lluraedbyfgure, relevano =, onhe(v,)plane. Aexpeced, he nal hape ge rongly modfed n a fr hor nal me layer, domnaed by mechancal encouner, hen a reored, bu dfferen, Maxwellan evolve moohly, a he chemcal pace, oward he equlbrum M, followng he low me varaon of n and T, and wh a praccally conan u. The approach of φ o he aocaed local Maxwellan ( m M = n ) / ] πkt exp[ m KT (v u ), (8) where n, u, T are he acual me dependen macrocopc parameer, well depced by he devaon φ M veru v and, hown n Fgure for =. The devaon zero nally, becaue of he nal Gauan hape, hen undergoe pove and negave varaon, whch reman confned however boh n amplude (order one enh) and n doman (a neghborhood of

21 7] A KINETIC RELAXATION MODEL 69 he varyng macrocopc velocy). In addon, he devaon vanhe dencally n a very hor me, of he order of he mechancal relaxaon me, and even maller han he velocy or emperaure equalzaon me.. φ M v 7 Fgure. Zoom of he devaon φ M veru and v for Problem A. 6.. u u u.,u u.,u.. u u Fgure. Dfference beween acual and auxlary mean veloce (u and u repecvely) veru me: =, (lef), =, (rgh) for Problem A. Fnally, a meaure of he approach o equlbrum provded alo by he dfference beween he acual and he auxlary macrocopc feld, whch mu relax o zero for ncreang me. We exhb here he rend of he veloce u and u n Fgure. Dfference are agan raher mode, and end quckly o vanh, on he fa mechancal cale. A predced by he

22 6 M. GROPPI AND G. SPIGA [June BGK equaon hemelve, we have u < ( u > ) for u < u (u > u ); n parcular, we can oberve ha crong of he acual and fcou curve may occur only for he pece wh a non monoonc rend for u (.e., =,), and acually occur when u =. φ 8 φ 8 - v 7 - v 6 6 φ φ - - v v Fgure 6. Inal and fnal velocy profle for φ n Problem B. We nexexamne hereponeof ourrelaxaon model o achange of nal hape from a Gauan o a bmodal drbuon, a depced n Fgure 6 (Problem B). Such drbuon are made up by wo dencal ymmercally dplaced Maxwellan, choen n uch a way ha he macrocopc nal condon reman he ame of Problem A, a gven by (6). Th requremen deermne hem unquely, once he peak eparaon u agned. We have aken here u =.8 u = u = u =. (9) Snce equaon (6) are unchanged wh repec o Problem A, evoluon of all macrocopc varable reman he ame, a well a he fnal equlbrum drbuon M, whch are alo gven n Fgure 6. The hree dmenonal

23 7] A KINETIC RELAXATION MODEL 6 plooffgure7howφ veruv and; aferarapdranonoaunmodal hape, evolve eenally n he ame way a for Problem A (ee Fgure ). Fgure 8, o becompared o Fgure, repor on he devaon of φ from he local Maxwellan M for ProblemBon hehormecale. Ican benoced ha relaxaon o local hermodynamcal equlbrum occur eenally on he ame me cale a for Problem A, bu dfference are larger by almo wo order of magnude, due o rong devaon of he nal hape from a Gauan ( almo a double ream drbuon for h pece). 7 6 φ - v 8 Fgure 7. Funcon φ veru and v for Problem B. φ M v 8 Fgure 8. Zoom of he devaon φ M veru and v for Problem B.

24 6 M. GROPPI AND G. SPIGA [June u 7 6 T Fgure 9. Trendofveloce u (lef)andofemperauret (rgh) veru me for problem C. Fnally, we have condered a hrd e cae (Problem C) n order o ee he repone of our model o anoropy of caerng. For h purpoe we change, wh repec o Problem A, only he mcrocopc collon frequence for momenum ranfer ν r, by akng a unform reducon facor,.e. ν r = νr, (,r), whch replace he equaly νr = ν r relevan o oropc caerng. In h way, caerng que forwardly peaked (manly grazng collon), whch mean ha, hough mechancal encouner are ll much more frequen han chemcal reacon, momenum and energy ranfer n elac caerng become much le effecve, and hen all relaxaon phenomena drven by mechancal collon become lower and almo comparable o chemcal relaxaon. Th ndeed wha we acually verfed numercally, and lluraed by Fgure 9, where we plo veloce and emperaure veru me, and realze ha equalzaon me have ncreaed, roughly peakng, by a facor of wh repec o he Problem A (ee Fgure and ). The lower rae of varaon of macrocopc parameer ha hen nereng mplcaon a he knec level. In fac, n agreemen wh a lower magnude of me dervave, we oberve a enble decreae of he dfference beween acual and auxlary macrocopc feld. An example provded by Fgure, where we plo for comparon he emperaure T and T for Problem A and for Problem C (noce agan he dfferen me cale for he wo problem). A a conequence of he much maller devaon of fcou feld from he acual one, he auxlary Maxwellan M oward whch our collon relaxaon model force parcle drbuon are much cloer now o he acual local Maxwellan M han for he reference

25 7] A KINETIC RELAXATION MODEL 6 Problem A Problem A T T T T.. Problem C Problem C T T T T Fgure. Comparon of acual and auxlary emperaure (T and T repecvely) veru me for problem A (above) and Problem C (below).. φ M v 6 8 Fgure. Zoom of he devaon φ M veru and v for Problem C.

26 6 M. GROPPI AND G. SPIGA [June problem. Devaon of drbuon funcon φ from he correpondng localmaxwellanarehenmallerhanforproblema.thhown, for =, n Fgure, where he dfference, nally zero becaue of he Gauan nal hape, end agan o zero (correpondng o local equlbrum) on a hor me cale whch lghly longer han for Problem A, bu undergo flucuaon ha reman a lea one order of magnude maller han n Fgure. Reference. C. Cercgnan, Rarefed Ga Dynamc. From Bac Concep o Acual Calculaon, Cambrdge Unvery Pre, Cambrdge,.. V. Govanggl, Mulcomponen Flow Modelng, Brkhäuer Verlag, Boon, M. Gropp and G. Spga, Knec approach o chemcal reacon and nelac ranon n a rarefed ga, J. Mah. Chem., 6(999), P. L. Bhanagar, E. P. Gro and K. Krook, A model for collon procee n gae, Phy. Rev., 9(9), -.. P. Welander, On he emperaure jump n a rarefed ga, Ark. Fy., 7(9), V. Garzó, A. Sano, J. J. Brey, A knec model for a mulcomponen ga, Phy. Flud A: Flud Dynamc, (989), P. Andre, K. Aok and B. Perhame, A conen BGK-ype model for ga mxure. J. Sa. Phy., 6(), R. Monaco and M. Pandolf Banch, A BGK ype model for a ga mxure wh reverble reacon, In New Trend n Mahemacal Phyc, World Scenfc, Sngapore,, M. Gropp and G. Spga, A Bhanagar Gro Krook ype approach for chemcally reacng ga mxure, Phy. Flud, 6 (), M. B, M. Gropp and G. Spga, Grad drbuon funcon n he knec equaon for a chemcal reacon. Connuum Mech Thermodyn., (), 7-.. G. Ludwg and M. Hel, Boundary layer heory wh docaon and recombnaon. In Advance n Appled Mechanc, vol. 6, Academc Pre, New York, 96, A. Ern and V. Govanggl, The knec chemcal equlbrum regme, Phy. A, 6(998), M. B, M. Gropp and G. Spga, Flud dynamc equaon for reacng ga mxure, Appl. Mah., (), -6.. K. Aok, Y. Sone and T. Yamada, Numercal analy of ga flow condenng on plane condened phae on he ba of knec heory, Phy. Flud A: Flud Dynamc, (99), A. Roan and G. Spga, A noe on he knec heory of chemcally reacng gae, Phy. A, 7(999), 6-7.

27 7] A KINETIC RELAXATION MODEL 6 6. M. Abramowz and I. A. Segun, Ed. Handbook of Mahemacal Funcon, Dover, New York, C. Cercgnan, The Bolzmann Equaon and Applcaon, Sprnger Verlag, New York, S. R. De Groo and P. Mazur, Non-equlbrum Thermodynamc, Norh Holland, Amerdam, S. Chapman and T. G. Cowlng, The Mahemacal Theory of Non unform Gae, Unvery Pre, Cambrdge, 97.. J. H. Ferzger and H. G. Kaper, Mahemacal Theory of Tranpor Procee n Gae, Norh Holland, Amerdam, 97.. I. Samohyl, Comparon of clacal and raonal hermodynamc of reacng flud mxure wh lnear ranpor propere, Collecon Czecholov. Chem. Commun., (97), -.. Y. Sone, Knec Theory and Flud Dynamc, Brkhäuer Verlag, Boon,. Dparmeno d Maemaca, Unverà d Parma, Vale G. P. Uber /A, Parma, Ialy. E-mal: mara.gropp@unpr. Dparmeno d Maemaca, Unverà d Parma, Vale G. P. Uber /A, Parma, Ialy. E-mal: gampero.pga@unpr.

Cooling of a hot metal forging. , dt dt

Cooling of a hot metal forging. , dt dt Tranen Conducon Uneady Analy - Lumped Thermal Capacy Model Performed when; Hea ranfer whn a yem produced a unform emperaure drbuon n he yem (mall emperaure graden). The emperaure change whn he yem condered

More information

Control Systems. Mathematical Modeling of Control Systems.

Control Systems. Mathematical Modeling of Control Systems. Conrol Syem Mahemacal Modelng of Conrol Syem chbum@eoulech.ac.kr Oulne Mahemacal model and model ype. Tranfer funcon model Syem pole and zero Chbum Lee -Seoulech Conrol Syem Mahemacal Model Model are key

More information

H = d d q 1 d d q N d d p 1 d d p N exp

H = d d q 1 d d q N d d p 1 d d p N exp 8333: Sacal Mechanc I roblem Se # 7 Soluon Fall 3 Canoncal Enemble Non-harmonc Ga: The Hamlonan for a ga of N non neracng parcle n a d dmenonal box ha he form H A p a The paron funcon gven by ZN T d d

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function

(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function MACROECONOMIC THEORY T J KEHOE ECON 87 SPRING 5 PROBLEM SET # Conder an overlappng generaon economy le ha n queon 5 on problem e n whch conumer lve for perod The uly funcon of he conumer born n perod,

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure

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

HYDRODYNAMIC LIMIT FOR A GAS WITH CHEMICAL REACTIONS

HYDRODYNAMIC LIMIT FOR A GAS WITH CHEMICAL REACTIONS October 3, 003 8:48 WSPC/Trm Sze: 9n x 6n for Proceedng bp HYDRODYNAMIC LIMIT FOR A GAS WITH CHEMICAL REACTIONS M. BISI Dpartmento d Matematca, Unvertà d Mlano, Va Saldn 50, 0133 Mlano, Italy, E-mal: b@mat.unm.t

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

ELIMINATION OF DOMINATED STRATEGIES AND INESSENTIAL PLAYERS

ELIMINATION OF DOMINATED STRATEGIES AND INESSENTIAL PLAYERS OPERATIONS RESEARCH AND DECISIONS No. 1 215 DOI: 1.5277/ord1513 Mamoru KANEKO 1 Shuge LIU 1 ELIMINATION OF DOMINATED STRATEGIES AND INESSENTIAL PLAYERS We udy he proce, called he IEDI proce, of eraed elmnaon

More information

L N O Q. l q l q. I. A General Case. l q RANDOM LAGRANGE MULTIPLIERS AND TRANSVERSALITY. Econ. 511b Spring 1998 C. Sims

L N O Q. l q l q. I. A General Case. l q RANDOM LAGRANGE MULTIPLIERS AND TRANSVERSALITY. Econ. 511b Spring 1998 C. Sims Econ. 511b Sprng 1998 C. Sm RAD AGRAGE UPERS AD RASVERSAY agrange mulpler mehod are andard fare n elemenary calculu coure, and hey play a cenral role n economc applcaon of calculu becaue hey ofen urn ou

More information

Laplace Transformation of Linear Time-Varying Systems

Laplace Transformation of Linear Time-Varying Systems Laplace Tranformaon of Lnear Tme-Varyng Syem Shervn Erfan Reearch Cenre for Inegraed Mcroelecronc Elecrcal and Compuer Engneerng Deparmen Unvery of Wndor Wndor, Onaro N9B 3P4, Canada Aug. 4, 9 Oulne of

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

SSRG International Journal of Thermal Engineering (SSRG-IJTE) Volume 4 Issue 1 January to April 2018

SSRG International Journal of Thermal Engineering (SSRG-IJTE) Volume 4 Issue 1 January to April 2018 SSRG Inernaonal Journal of Thermal Engneerng (SSRG-IJTE) Volume 4 Iue 1 January o Aprl 18 Opmal Conrol for a Drbued Parameer Syem wh Tme-Delay, Non-Lnear Ung he Numercal Mehod. Applcaon o One- Sded Hea

More information

Fundamentals of PLLs (I)

Fundamentals of PLLs (I) Phae-Locked Loop Fundamenal of PLL (I) Chng-Yuan Yang Naonal Chung-Hng Unvery Deparmen of Elecrcal Engneerng Why phae-lock? - Jer Supreon - Frequency Synhe T T + 1 - Skew Reducon T + 2 T + 3 PLL fou =

More information

A. Inventory model. Why are we interested in it? What do we really study in such cases.

A. Inventory model. Why are we interested in it? What do we really study in such cases. Some general yem model.. Inenory model. Why are we nereed n? Wha do we really udy n uch cae. General raegy of machng wo dmlar procee, ay, machng a fa proce wh a low one. We need an nenory or a buffer or

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as

More information

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours

NATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours NATONAL UNVERSTY OF SNGAPORE PC5 ADVANCED STATSTCAL MECHANCS (Semeser : AY 1-13) Tme Allowed: Hours NSTRUCTONS TO CANDDATES 1. Ths examnaon paper conans 5 quesons and comprses 4 prned pages.. Answer all

More information

Matrix reconstruction with the local max norm

Matrix reconstruction with the local max norm Marx reconrucon wh he local max norm Rna oygel Deparmen of Sac Sanford Unvery rnafb@anfordedu Nahan Srebro Toyoa Technologcal Inue a Chcago na@cedu Rulan Salakhudnov Dep of Sac and Dep of Compuer Scence

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence

More information

2.1 Constitutive Theory

2.1 Constitutive Theory Secon.. Consuve Theory.. Consuve Equaons Governng Equaons The equaons governng he behavour of maerals are (n he spaal form) dρ v & ρ + ρdv v = + ρ = Conservaon of Mass (..a) d x σ j dv dvσ + b = ρ v& +

More information

Lecture 11: Stereo and Surface Estimation

Lecture 11: Stereo and Surface Estimation Lecure : Sereo and Surface Emaon When camera poon have been deermned, ung rucure from moon, we would lke o compue a dene urface model of he cene. In h lecure we wll udy he o called Sereo Problem, where

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class

More information

Let s treat the problem of the response of a system to an applied external force. Again,

Let s treat the problem of the response of a system to an applied external force. Again, Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem

More information

Variants of Pegasos. December 11, 2009

Variants of Pegasos. December 11, 2009 Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on

More information

A Demand System for Input Factors when there are Technological Changes in Production

A Demand System for Input Factors when there are Technological Changes in Production A Demand Syem for Inpu Facor when here are Technologcal Change n Producon Movaon Due o (e.g.) echnologcal change here mgh no be a aonary relaonhp for he co hare of each npu facor. When emang demand yem

More information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

More information

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes. umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal

More information

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!) i+1,q - [(! ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal

More information

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas)

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas) Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on

More information

Graduate Macroeconomics 2 Problem set 5. - Solutions

Graduate Macroeconomics 2 Problem set 5. - Solutions Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K

More information

Gradient Flow Independent Component Analysis

Gradient Flow Independent Component Analysis Graden Fow Independen Componen Anay Mun Sanaćevć and Ger Cauwenbergh Adapve Mcroyem ab John Hopkn Unvery Oune Bnd Sgna Separaon and ocazaon Prncpe of Graden Fow : from deay o empora dervave Equvaen ac

More information

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal

More information

Multiple Regressions and Correlation Analysis

Multiple Regressions and Correlation Analysis Mulple Regreon and Correlaon Analy Chaper 4 McGraw-Hll/Irwn Copyrgh 2 y The McGraw-Hll Compane, Inc. All rgh reerved. GOALS. Decre he relaonhp eween everal ndependen varale and a dependen varale ung mulple

More information

Econ107 Applied Econometrics Topic 5: Specification: Choosing Independent Variables (Studenmund, Chapter 6)

Econ107 Applied Econometrics Topic 5: Specification: Choosing Independent Variables (Studenmund, Chapter 6) Econ7 Appled Economercs Topc 5: Specfcaon: Choosng Independen Varables (Sudenmund, Chaper 6 Specfcaon errors ha we wll deal wh: wrong ndependen varable; wrong funconal form. Ths lecure deals wh wrong ndependen

More information

On computing differential transform of nonlinear non-autonomous functions and its applications

On computing differential transform of nonlinear non-autonomous functions and its applications On compung dfferenal ransform of nonlnear non-auonomous funcons and s applcaons Essam. R. El-Zahar, and Abdelhalm Ebad Deparmen of Mahemacs, Faculy of Scences and Humanes, Prnce Saam Bn Abdulazz Unversy,

More information

How about the more general "linear" scalar functions of scalars (i.e., a 1st degree polynomial of the following form with a constant term )?

How about the more general linear scalar functions of scalars (i.e., a 1st degree polynomial of the following form with a constant term )? lmcd Lnear ransformaon of a vecor he deas presened here are que general hey go beyond he radonal mar-vecor ype seen n lnear algebra Furhermore, hey do no deal wh bass and are equally vald for any se of

More information

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

Rate Constitutive Theories of Orders n and 1 n for Internal Polar Non-Classical Thermofluids without Memory

Rate Constitutive Theories of Orders n and 1 n for Internal Polar Non-Classical Thermofluids without Memory Appled Maheac, 6, 7, 33-77 hp://www.crp.org/ournal/a ISSN Onlne: 5-7393 ISSN Prn: 5-7385 Rae Conuve heore of Order n and n for Inernal Polar Non-Clacal heroflud whou Meory Karan S. Surana, Sephen W. Long,

More information

XMAP: Track-to-Track Association with Metric, Feature, and Target-type Data

XMAP: Track-to-Track Association with Metric, Feature, and Target-type Data XMAP: Track-o-Track Aocaon wh Merc, Feaure, Targe-ype Daa J. Ferry Meron, Inc. Reon, VA, U.S.A. ferry@mec.com Abrac - The Exended Maxmum A Poeror Probably XMAP mehod for rack-o-rack aocaon baed on a formal,

More information

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL Sco Wsdom, John Hershey 2, Jonahan Le Roux 2, and Shnj Waanabe 2 Deparmen o Elecrcal Engneerng, Unversy o Washngon, Seale, WA, USA

More information

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy

More information

Motion of Wavepackets in Non-Hermitian. Quantum Mechanics

Motion of Wavepackets in Non-Hermitian. Quantum Mechanics Moon of Wavepaces n Non-Herman Quanum Mechancs Nmrod Moseyev Deparmen of Chemsry and Mnerva Cener for Non-lnear Physcs of Complex Sysems, Technon-Israel Insue of Technology www.echnon echnon.ac..ac.l\~nmrod

More information

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes on the stability of dynamic systems and the use of Eigen Values. Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon

More information

Gravity Segmentation of Human Lungs from X-ray Images for Sickness Classification

Gravity Segmentation of Human Lungs from X-ray Images for Sickness Classification Gravy Segmenaon of Human Lung from X-ray Image for Sckne Clafcaon Crag Waman and Km Le School of Informaon Scence and Engneerng Unvery of Canberra Unvery Drve, Bruce, ACT-60, Aurala Emal: crag_waman@ece.com,

More information

Randomized Perfect Bipartite Matching

Randomized Perfect Bipartite Matching Inenive Algorihm Lecure 24 Randomized Perfec Biparie Maching Lecurer: Daniel A. Spielman April 9, 208 24. Inroducion We explain a randomized algorihm by Ahih Goel, Michael Kapralov and Sanjeev Khanna for

More information

u(t) Figure 1. Open loop control system

u(t) Figure 1. Open loop control system Open loop conrol v cloed loop feedbac conrol The nex wo figure preen he rucure of open loop and feedbac conrol yem Figure how an open loop conrol yem whoe funcion i o caue he oupu y o follow he reference

More information

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue.

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue. Lnear Algebra Lecure # Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons

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

Multiple Failures. Diverse Routing for Maximizing Survivability. Maximum Survivability Models. Minimum-Color (SRLG) Diverse Routing

Multiple Failures. Diverse Routing for Maximizing Survivability. Maximum Survivability Models. Minimum-Color (SRLG) Diverse Routing Mulple Falure Dvere Roung for Maxmzng Survvably One-falure aumpon n prevou work Mulple falure Hard o provde 100% proecon Maxmum urvvably Maxmum Survvably Model Mnmum-Color (SRLG) Dvere Roung Each lnk ha

More information

Robust and Accurate Cancer Classification with Gene Expression Profiling

Robust and Accurate Cancer Classification with Gene Expression Profiling Robus and Accurae Cancer Classfcaon wh Gene Expresson Proflng (Compuaonal ysems Bology, 2005) Auhor: Hafeng L, Keshu Zhang, ao Jang Oulne Background LDA (lnear dscrmnan analyss) and small sample sze problem

More information

Chapter Lagrangian Interpolation

Chapter Lagrangian Interpolation Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION S19 A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION by Xaojun YANG a,b, Yugu YANG a*, Carlo CATTANI c, and Mngzheng ZHU b a Sae Key Laboraory for Geomechancs and Deep Underground Engneerng, Chna Unversy

More information

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he

More information

Online Appendix for. Strategic safety stocks in supply chains with evolving forecasts

Online Appendix for. Strategic safety stocks in supply chains with evolving forecasts Onlne Appendx for Sraegc safey socs n supply chans wh evolvng forecass Tor Schoenmeyr Sephen C. Graves Opsolar, Inc. 332 Hunwood Avenue Hayward, CA 94544 A. P. Sloan School of Managemen Massachuses Insue

More information

. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue.

. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue. Mah E-b Lecure #0 Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons are

More information

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems Swss Federal Insue of Page 1 The Fne Elemen Mehod for he Analyss of Non-Lnear and Dynamc Sysems Prof. Dr. Mchael Havbro Faber Dr. Nebojsa Mojslovc Swss Federal Insue of ETH Zurch, Swzerland Mehod of Fne

More information

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5 TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres

More information

Motion in Two Dimensions

Motion in Two Dimensions Phys 1 Chaper 4 Moon n Two Dmensons adzyubenko@csub.edu hp://www.csub.edu/~adzyubenko 005, 014 A. Dzyubenko 004 Brooks/Cole 1 Dsplacemen as a Vecor The poson of an objec s descrbed by s poson ecor, r The

More information

FX-IR Hybrids Modeling

FX-IR Hybrids Modeling FX-IR Hybr Moeln Yauum Oajma Mubh UFJ Secure Dervave Reearch Dep. Reearch & Developmen Dvon Senor Manaer oajma-yauum@c.mu.jp Oaka Unvery Workhop December 5 h preenaon repreen he vew o he auhor an oe no

More information

A Nonlinear ILC Schemes for Nonlinear Dynamic Systems To Improve Convergence Speed

A Nonlinear ILC Schemes for Nonlinear Dynamic Systems To Improve Convergence Speed IJCSI Inernaonal Journal of Compuer Scence Iue, Vol. 9, Iue 3, No, ay ISSN (Onlne): 694-84 www.ijcsi.org 8 A Nonlnear ILC Scheme for Nonlnear Dynamc Syem o Improve Convergence Speed Hoen Babaee, Alreza

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary

More information

Chapter 6: AC Circuits

Chapter 6: AC Circuits Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.

More information

Open Chemical Systems and Their Biological Function. Department of Applied Mathematics University of Washington

Open Chemical Systems and Their Biological Function. Department of Applied Mathematics University of Washington Oen Chemcal Syem and Ther Bologcal Funcon Hong Qan Dearmen of Aled Mahemac Unvery of Wahngon Dynamc and Thermodynamc of Sochac Nonlnear Meococ Syem Meococ decron of hycal and chemcal yem: Gbb 1870-1890

More information

with Unmodelled Environment J.K. Tar *, I.J. Rudas *, J.F. Bitó ** Fax: , Abstract

with Unmodelled Environment J.K. Tar *, I.J. Rudas *, J.F. Bitó ** Fax: , Abstract Group Theorecal Approach n Ung Canoncal Tranformaon and Symplecc Geomery n he Conrol of Appromaely Modelled Mechancal Syem Ineracng wh Unmodelled Envronmen J.K. Tar *, I.J. Ruda *, J.F. Bó ** *Deparmen

More information

Robustness Experiments with Two Variance Components

Robustness Experiments with Two Variance Components Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference

More information

ANALYSIS AND MODELING OF HYDROLOGIC TIME SERIES. Wasserhaushalt Time Series Analysis and Stochastic Modelling Spring Semester

ANALYSIS AND MODELING OF HYDROLOGIC TIME SERIES. Wasserhaushalt Time Series Analysis and Stochastic Modelling Spring Semester ANALYSIS AND MODELING OF HYDROLOGIC TIME SERIES Waerhauhal Tme Sere Analy and Sochac Modellng Sprng Semeer 8 ANALYSIS AND MODELING OF HYDROLOGIC TIME SERIES Defnon Wha a me ere? Leraure: Sala, J.D. 99,

More information

Polymerization Technology Laboratory Course

Polymerization Technology Laboratory Course Prakkum Polymer Scence/Polymersaonsechnk Versuch Resdence Tme Dsrbuon Polymerzaon Technology Laboraory Course Resdence Tme Dsrbuon of Chemcal Reacors If molecules or elemens of a flud are akng dfferen

More information

Time-interval analysis of β decay. V. Horvat and J. C. Hardy

Time-interval analysis of β decay. V. Horvat and J. C. Hardy Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae

More information

Part II CONTINUOUS TIME STOCHASTIC PROCESSES

Part II CONTINUOUS TIME STOCHASTIC PROCESSES Par II CONTINUOUS TIME STOCHASTIC PROCESSES 4 Chaper 4 For an advanced analyss of he properes of he Wener process, see: Revus D and Yor M: Connuous marngales and Brownan Moon Karazas I and Shreve S E:

More information

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2) Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum

More information

Thruster Modulation for Unsymmetric Flexible Spacecraft with Consideration of Torque Arm Perturbation

Thruster Modulation for Unsymmetric Flexible Spacecraft with Consideration of Torque Arm Perturbation hruer Modulaon for Unymmerc Flexble Sacecraf wh onderaon of orue rm Perurbaon a Shgemune anwak Shnchro chkawa a Yohak hkam b a Naonal Sace evelomen gency of Jaan 2-- Sengen ukuba-h barak b eo Unvery 3--

More information

Sound decay in a rectangular room with specular and diffuse reflecting surfaces

Sound decay in a rectangular room with specular and diffuse reflecting surfaces Soun ecay n a recangular room wh pecular an ffue reflecng urface Nkolay Kanev Anreyev Acouc Inue, Mocow, Rua Summary Soun ecay n room uually efne by aborpon an caerng propere of urface In ome cae oun ecay

More information

Dissipation rate. Switching rate in an applied external field Spin transfer torque (MRAM) Spin valves

Dissipation rate. Switching rate in an applied external field Spin transfer torque (MRAM) Spin valves 5..03 Arne Braaa Norwegan Unvery of Scence and Technology Dpaon rae dm H eff m G( mm ) d Swchng rae n an appled exernal feld Spn ranfer orque (MRAM) Spn valve curren N F N F N curren : deermne crcal curren

More information

3. OVERVIEW OF NUMERICAL METHODS

3. OVERVIEW OF NUMERICAL METHODS 3 OVERVIEW OF NUMERICAL METHODS 3 Inroducory remarks Ths chaper summarzes hose numercal echnques whose knowledge s ndspensable for he undersandng of he dfferen dscree elemen mehods: he Newon-Raphson-mehod,

More information

Discussion Session 2 Constant Acceleration/Relative Motion Week 03

Discussion Session 2 Constant Acceleration/Relative Motion Week 03 PHYS 100 Dicuion Seion Conan Acceleraion/Relaive Moion Week 03 The Plan Today you will work wih your group explore he idea of reference frame (i.e. relaive moion) and moion wih conan acceleraion. You ll

More information

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria IOSR Journal of Mahemacs (IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume 0, Issue 4 Ver. IV (Jul-Aug. 04, PP 40-44 Mulple SolonSoluons for a (+-dmensonalhroa-sasuma shallow waer wave equaon UsngPanlevé-Bӓclund

More information

6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson

6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson 6.32 Feedback Syem Phae-locked loop are a foundaional building block for analog circui deign, paricularly for communicaion circui. They provide a good example yem for hi cla becaue hey are an excellen

More information

Risky Swaps. Munich Personal RePEc Archive. Gikhman, Ilya Independent Research. 08. February 2008

Risky Swaps. Munich Personal RePEc Archive. Gikhman, Ilya Independent Research. 08. February 2008 MPR Munch Peronal RePEc rchve Ry Swap Ghman Ilya Independen Reearch 8. February 28 Onlne a hp://mpra.ub.un-muenchen.de/779/ MPR Paper o. 779 poed 9. February 28 / 4:45 Ry Swap. Ilya Ghman 677 Ivy Wood

More information

NON-HOMOGENEOUS SEMI-MARKOV REWARD PROCESS FOR THE MANAGEMENT OF HEALTH INSURANCE MODELS.

NON-HOMOGENEOUS SEMI-MARKOV REWARD PROCESS FOR THE MANAGEMENT OF HEALTH INSURANCE MODELS. NON-HOOGENEOU EI-AKO EWA POCE FO THE ANAGEENT OF HEATH INUANCE OE. Jacque Janen CEIAF ld Paul Janon 84 e 9 6 Charlero EGIU Fax: 32735877 E-mal: ceaf@elgacom.ne and amondo anca Unverà a apenza parmeno d

More information

Lecture 9: Dynamic Properties

Lecture 9: Dynamic Properties Shor Course on Molecular Dynamcs Smulaon Lecure 9: Dynamc Properes Professor A. Marn Purdue Unversy Hgh Level Course Oulne 1. MD Bascs. Poenal Energy Funcons 3. Inegraon Algorhms 4. Temperaure Conrol 5.

More information

Appendix H: Rarefaction and extrapolation of Hill numbers for incidence data

Appendix H: Rarefaction and extrapolation of Hill numbers for incidence data Anne Chao Ncholas J Goell C seh lzabeh L ander K Ma Rober K Colwell and Aaron M llson 03 Rarefacon and erapolaon wh ll numbers: a framewor for samplng and esmaon n speces dversy sudes cology Monographs

More information

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he

More information

arxiv: v1 [math.st] 9 Mar 2017

arxiv: v1 [math.st] 9 Mar 2017 Fraconal compound Poon procee wh mulple nernal ae Pengbo Xu and Wehua eng School of Mahemac and Sac, Ganu Key Laboraory of Appled Mahemac and Complex Syem, Lanzhou Unvery, Lanzhou 73, P.R. Chna aed: March,

More information

FI 3103 Quantum Physics

FI 3103 Quantum Physics /9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon

More information

TSS = SST + SSE An orthogonal partition of the total SS

TSS = SST + SSE An orthogonal partition of the total SS ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally

More information

Molecular Dynamics Simulation Study forgtransport Properties of Diatomic Liquids

Molecular Dynamics Simulation Study forgtransport Properties of Diatomic Liquids NpT EMD Smulaons of Daomc Lquds Bull. Korean Chem. Soc. 7, ol. 8, No. 697 Molecular Dynamcs Smulaon Sudy forgtranspor Properes of Daomc Lquds Song H Lee Deparmen of Chemsry, Kyungsung Unversy, Busan 68-736,

More information

Outline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing

Outline. GW approximation. Electrons in solids. The Green Function. Total energy---well solved Single particle excitation---under developing Peenaon fo Theoecal Condened Mae Phyc n TU Beln Geen-Funcon and GW appoxmaon Xnzheng L Theoy Depamen FHI May.8h 2005 Elecon n old Oulne Toal enegy---well olved Sngle pacle excaon---unde developng The Geen

More information

2/20/2013. EE 101 Midterm 2 Review

2/20/2013. EE 101 Midterm 2 Review //3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance

More information

Lecture 6: Learning for Control (Generalised Linear Regression)

Lecture 6: Learning for Control (Generalised Linear Regression) Lecure 6: Learnng for Conrol (Generalsed Lnear Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure 6: RLSC - Prof. Sehu Vjayakumar Lnear Regresson

More information

Physics 240: Worksheet 16 Name

Physics 240: Worksheet 16 Name Phyic 4: Workhee 16 Nae Non-unifor circular oion Each of hee proble involve non-unifor circular oion wih a conan α. (1) Obain each of he equaion of oion for non-unifor circular oion under a conan acceleraion,

More information

2. VECTORS. R Vectors are denoted by bold-face characters such as R, V, etc. The magnitude of a vector, such as R, is denoted as R, R, V

2. VECTORS. R Vectors are denoted by bold-face characters such as R, V, etc. The magnitude of a vector, such as R, is denoted as R, R, V ME 352 VETS 2. VETS Vecor algebra form he mahemaical foundaion for kinemaic and dnamic. Geomer of moion i a he hear of boh he kinemaic and dnamic of mechanical em. Vecor anali i he imehonored ool for decribing

More information

Scattering at an Interface: Oblique Incidence

Scattering at an Interface: Oblique Incidence Course Insrucor Dr. Raymond C. Rumpf Offce: A 337 Phone: (915) 747 6958 E Mal: rcrumpf@uep.edu EE 4347 Appled Elecromagnecs Topc 3g Scaerng a an Inerface: Oblque Incdence Scaerng These Oblque noes may

More information

Problem Set If all directed edges in a network have distinct capacities, then there is a unique maximum flow.

Problem Set If all directed edges in a network have distinct capacities, then there is a unique maximum flow. CSE 202: Deign and Analyi of Algorihm Winer 2013 Problem Se 3 Inrucor: Kamalika Chaudhuri Due on: Tue. Feb 26, 2013 Inrucion For your proof, you may ue any lower bound, algorihm or daa rucure from he ex

More information

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov June 7 e-ournal Relably: Theory& Applcaons No (Vol. CONFIDENCE INTERVALS ASSOCIATED WITH PERFORMANCE ANALYSIS OF SYMMETRIC LARGE CLOSED CLIENT/SERVER COMPUTER NETWORKS Absrac Vyacheslav Abramov School

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae

More information