Dynamics of two externally driven coupled quantum oscillators interacting with separate baths based on path integrals
|
|
- Leonard Robinson
- 5 years ago
- Views:
Transcription
1 Dynamcs of wo exernally drven coupled quanum oscllaors neracng wh separae bahs based on pah negrals Illaron Dorofeyev * Insue for Physcs of Mcrosrucures, Russan Academy of Scences, 6395, GSP-5 Nzhny Novgorod, Russa Absrac The paper deals wh he problem of dynamcs of exernally drven open quanum sysems. Usng he pah negral mehods we found an analycal expresson for me-dependen densy marx of wo exernally drven coupled quanum oscllaors neracng wh dfferen bahs of oscllaors. I s shown ha a he zerong of exernal forces he densy marx becomes dencal o he prevously obaned one for freely developng coupled oscllaors. Mean values of observables are compued by usng he Herman par of he marx. All elemens of he covarance marx composed by coordnaes and momena of wo drven coupled oscllaors are calculaed. The me-dependen mean values, dspersons and covarances of coordnaes of coupled oscllaors a gven exernal forces are numercally suded. I s shown ha he larger he couplng consan he larger s he dsurbances of he second oscllaor due o exernal acon on he frs oscllaor. Coupled dynamcs of forced oscllaors a relavely large couplng consan s demonsraed a dfferen hermodynamc condons. PACS : 5..Jc;.5.Lc; 5..Gg;
2 I. Inroducon The physcs of open sysems covers varous processes rangng from elemenary-parcle level o asrophyscal scales. Also, such sysems exce a grea neres n echnology and socal scences. An ofen-used model of open quanum sysems consss of a quanum oscllaor (se of oscllaors) coupled o a hea reservor (se of shared or separae reservors) of harmonc oscllaors. Ths mechancal hamlonan sysem allows nvesgang of dsspaon, decoherence, correlaon, connuous quanum measuremen, quanum-o-classcal ranson and oher mporan phenomena n naure. I s well-known ha he model has been successful n descrbng he Brownan dynamcs of seleced parcles coupled o a bah, see, for example, [- 9]. Sudy of he pure Hamlonan compose sysem yelds a reason of rreversbly n he dynamcs of a seleced quanum sysem neracng wh surroundngs afer reducon wh respec o reservors varables. I always deserves consderable aenon because of ranson from pure mechancal dynamcs o hermodynamcal laws due o nevable effecs of he envronmen on objecs under sudy. Thus, he dealed descrpon of relaxaon processes of open sysems o saonary or o quas-saonary saes, and o equlbrum or o quasequlbrum hermodynamc saes s obvously very mporan. For example, n he case of a harmonc oscllaor wh arbrary dampng and a arbrary emperaure an explc expresson for he me evoluon of he densy marx when he sysem sars n a parcular knd of pure sae was derved and nvesgaed n a semnal work [] based on he pah negral echnque. I was shown ha he spaal dsperson n he nfne me lm agrees wh he flucuaon-dsspaon heorem (FDT). To sudy he approach o equlbrum or o some ransen saonary sae of he sysem, a problem for coupled oscllaors neracng wh hea bahs characerzed by s own emperaures was consdered n [-6]. I was concluded ha an arbrary nal sae of a harmonc oscllaor sae decayes owards a saonary sae. A sudy of a harmonc chan o whose ends ndependen hea bahs are aached whch kep a dfferen emperaures was performed n [7]. I was found he chan approaches a saonary sae regme. An analyze of he nonequlbrum seady saes of a one-dmensonal harmonc chan of aoms wh alernang masses conneced o hea reservors a unequal emperaures and a hea ransfer across an arbrary classcal harmonc nework conneced o wo hea bahs a dfferen emperaures were done n [8, 9]. The evoluon of quanum saes of neworks of quanum oscllaors coupled wh arbrary exernal envronmens was analyzed n [3]. The
3 emergence of hermodynamcal laws n he long me regme and some consrans on he low frequency behavor of he envronmenal specral denses were demonsraed. Much aenon has been focused on he bpare connuous varable sysems composed of wo neracng oscllaors. Based on he non-markovan maser equaons, he enanglemen evoluon of wo harmonc oscllaors under he nfluence of non-markovan hermal envronmens was suded n [3]. I was demonsraed ha he dynamcs of he quanum enanglemen s depended on he nal saes, he couplng beween oscllaors and he couplng o shared bahs or o separaed bahs. A sudy of he me-dependen enanglemen and quanum dscord beween wo oscllaors coupled o a common envronmen was provded n papers [3-3]. Dfferen sages of evoluon ncludng sudden dsappearance and appearance of he enanglemen were descrbed provdng a characerzaon of hs process for dfferen reservors ncludng Ohmc, sub-ohmc, and super- Ohmc models. Two coupled oscllaors n a common envronmen a arbrary emperaure and he quanum decoherence of her saes were nvesgaed n [35]. I was shown ha he problem can be mapped no ha of a sngle harmonc oscllaor n a general envronmen plus a free harmonc oscllaor. Besdes, smples cases of he enanglemen dynamcs were consdered analycally and an analycal creron for he fne-me dsenanglemen was derved a he Markovan approxmaon. The me-dependen enanglemen beween wo coupled dfferen oscllaors whn a common bah and whn wo separae bahs was suded n [36] based on a maser equaon. I was found ha n he case of separae bahs a no very low emperaures he nal wo-mode squeezed sae becomes separable accompanyng wh a seres of feaures. For nsance, f he wo oscllaors share a common bah, he observaon of asympoc enanglemen a relevan emperaures becomes possble. The evoluon of quanum correlaons of enangled wo-mode saes n a sngle-reservor and n a wo-reservor model was suded n [37]. I was shown ha n he wo-reservor model he nal enanglemen s compleely los, and boh modes are fnally uncorrelaed, bu n a common reservor boh modes nerac ndrecly va he same bah. In [38] a sysem of wo coupled oscllaors whn separae reservors was nvesgaed. I was shown ha f he bahs are a dfferen emperaures, hen he neracon beween he parcles mus be srong enough n order o reach a seady sae enanglemen. No hermal enanglemen beween wo coupled oscllaors s found n he hgh-emperaure regme and weak couplng lms n [39]. The exsence of a nonequlbrum sae for wo coupled, paramercally drven, dsspave harmonc oscllaors whch has saonary enanglemen a hgh emperaures was repored n []. Based on exac resuls for he non-markovan dynamcs of wo paramercally coupled oscllaors n conac o ndependen hermal bahs, he ou-ofequlbrum quanum lm derved n [] s generalzed o he non-markovan regme n []. I 3
4 s shown ha non-markovan dynamcs allows for he survval of saonary enanglemen a hgher emperaures. A saonary regme of wo coupled oscllaors connecng wh ndependen reservors of harmonc oscllaors was suded n [], and analycal formulas for he mean energy of neracon of he seleced oscllaors and her mean energes n hs case were derved. Tme-dependen behavor of varances and covarances of wo coupled oscllaors whn separae bahs n he weak-couplng lm was nvesgaed n [3]. I was demonsraed ha hese characerscs of wo weakly coupled oscllaors n he nfne me lm agrees wh he FDT despe of nal varances. The case of arbrary couplng of dencal oscllaors was consdered n [], and was shown ha he larger a dfference n emperaures of hermal bahs, he larger s a dfference of he saonary values of varances of coupled dencal oscllaors as compared o values gven by he FDT. The general case of wo arbrary coupled oscllaors of arbrary properes neracng wh separae reservors s suded n [5]. As well as n prevous cases he emporal dynamcs of spaal varances and covarances of oscllaors from any gven me up o quas-equlbrum seady saes s suded based on pah negraon. I s shown for arbrary oscllaors ha he spaal varances and covarances acheve saonary values n he long-me lm. I s demonsraed ha he larger he dfference n masses and egenfrequences of coupled oscllaors, he smaller are he devaons of saonary characerscs from hose gven by he FDT a fxed couplng srengh and fxed dfference n emperaures beween hermal bahs. The man goal of hs paper s o derve an analycal expresson for a emporary dependen densy marx of wo seleced oscllaors subjeced by wo ndependen exernal forces a any arbrary mes. The reduced densy marces allow calculang whole se of elemens of a covarance marx. Temporal behavor of some mean values of observables s provded. The paper s organzed as follows. In Sec.II we descrbe a heorecal bass usng a pah negraon mehod o calculae he reduced densy marx of wo neracng quanum oscllaors n dfferen reservors of harmonc oscllaors. Temporal dynamcs and saonary saes of mean values of coordnaes are gven n Sec.III. Our conclusons are gven n Sec.IV. II. Problem saemen and soluon We consder wo blnear coupled oscllaors. In s urn, each of hese oscllaors s blnear coupled wh separae reservors of oscllaors and subjeced by exernal forces. Correspondng me-dependen Hamlonan s wren as follows
5 H ( ) p / M M x / p / M M x / x x x f ( ) x f ( ) N N p j m j m jj q j x pk mk mkk qk x j k / ( ) / / ( ) /, () where x,, p,, M,,, are he coordnaes, momena, masses and egenfrequences of he seleced oscllaors, s he couplng consan, q j, p,, m and j j j q k, p,, m are he coordnaes, momena, egenfrequences and masses of bah s oscllaors. Furher we use he vecors R { q j} { q,..., qn } and R { qk} { q,..., qn } for brevy. k k k We suppose ha, n he me all neracons among oscllaors are swched on and mananed durng arbrary me nerval up o nfny. Then, he arbrary exernal forces begn acng a arbrary me momens,. The problem s o fnd a me-dependen densy marx of wo drven coupled oscllaors n any momen of me followed by calculang all elemens of a covarance marx n hs case. Fgure llusraes he above descrbed scenaro. 5
6 I s well known [6-5] ha he evoluon of he oal Hamlonan sysem seleced wo neracng oscllaors plus wo reservors plus exernal forces s descrbed by he equaon for he densy marx W() of he oal sysem W ( ) W ˆexp ( / ) ( ) () ˆ T H s dsw T exp ( / ) H( s) ds, () where W() W s he nally prepared densy marx of he oal sysem, and we ake no accoun he me dependence of he oal Hamlonan n Eq.() due o exernal forces, ˆ T s he me-orderng operaor. Furher, we use he desgnaons x { x, x} and R { R, R} for shoren noaon. Usng hese desgnaons we wre he compleeness propery of he poson egenfuncons n he coordnae represenaon as usual dxdxdr dr xx RR xx RR dxdr xr xr, (3) where he lms of he mulple negraon exended from mnus o plus nfny. Usng Eq.(3), he Eq. () can be wren n he marx form as follows xr W ˆ(,) ˆ yq dxdrdydq xr U xr xr W yq yq U (,) yq where he unary operaor of evoluon, () Uˆ(,) Tˆexp ( / ) H ( s) ds, (5) The ranson ampludes n Eq.() are expressed va he pah negrals [6-5] n dfferen ways, for example, n he coordnae form xr Uˆ (,) xr K ( x, R, ; x, R,), (6) D x D x D R D R exp{( / ) S[ x ( ), x( ), R ( ), R ( )]} where he negraon along all pahs s carred ou from x() x o x() x, from x() x o x() x, and from R () R o R() R, from R() R o R() R. For convenence, we desgnae he negraon varables by sragh lnes beneah and over he leers for he bah s and oscllaor s coordnaes, correspondngly. The backward amplude n Eq. () s * yq Uˆ (,) yq K ( y, Q, ; y, Q,), (7) D y D y D Q D Q exp{( / ) S[ y( ), y( ), Q ( ), Q ( )]} 6
7 where he negraon along all pahs s carred ou from y() y o y() y, from y() y o y() y, and from Q () Q o Q() Q, from Q() Q o Q() Q. The pah negrals are expressed va he mulple Rehmann negrals n he coordnae space as usual [6-5]. The acon S[ x, x, R, R ] n Eq.(6) s expressed va he Lagrangan correspondng o he Hamlonan n Eq.(). Ths acon n Eqs.(6) and (7) s srucured n accordng wh Eq.() where S S S S S S S S S S. (8) () () ( ) A( ) B( ) I( ) A( ) B( ) I ( ) ( ) ex ( ) ex ( ) A S d M x ( ) / M x ( ) /, (, ), S d [ x ( ) x ( )], N N B j j j j B k k k k j k S d ( m / )[ q ( ) q ( )], S d ( m / )[ q ( ) q ( )], N I j j j j j j S d [ c q ( ) x ( ) ( c / m ) x ( )], N I k k k k k k S d [ c q ( ) x ( ) ( c / m ) x ( )], () ex S d [ x ( ) f ( )], (, ) Pung n hs equaon Hamlonan n Eq. (). c m, c m we oban a sysem exacly correspondng o j j j k k k The reduced densy marx comprsng only varables of seleced oscllaors s obaned by racng he whole densy marx n Eq.() over he varables of he wo bahs ( x, x, y, y, ) dr lm xr W yq QR dxdrdydq dr K x R x R xr W yq K y R y Q * (,, ;,,) (,, ;,,). (9), () where ranson ampludes K and x, R W y, Q W ( x, y; R, Q,) * K from Eq.(6), (7), and s he densy marx of he global sysem a he nal me. III. Resuls and dscusson A. Propagaor for drven coupled oscllaors We choose he nal whole densy marx as follows W ( x, x, y, y; R, R, Q, Q,) ( x, y,) ( x, y,) ( R, Q,) ( R, Q,), () () () () () A A B B 7
8 where ( x, y,), ( x, y,) are nally prepared densy marces of he wo seleced () () A A oscllaors, ( R, Q,), ( R, Q,) are nal densy marces of he separae reservors. () () B B In hs case he reduced densy marx looks lke () () ( x, x, y, y, ) dx dx dy dy J ( x, x, y, y, ; x, x, y, y,) A ( x, y,) A ( x, y,), () where he propagaor J ( x, x, y, y, ; x, x, y, y,) D x D x D y D y exp ( / ) S A[ x ] S A[ y] S [ x ] S [ y ] S [ x, x ] S [ y, y ] S [ x ] S [ y ] () () A A ex ex S x S y S x x S y y S x S y x,,, ] () () A[ ] A[ ] [, ] [, ] ex [ ] ex [ ] FFV [ x y y, (3) where all acons are defned by Eq.(9) and he negraon along all pahs s carred ou from x() x o x() x, from x() x o x() x, and from y () y o y() y, from y() y o y() y, correspondngly. The Feynman-Vernon nfluence funconal FFV n Eq.(3) s he same as n [3]. In our case we have where F [ x, x, y, y ] exp [ x, y ] [ x, y ], () () () FV EV EV () () * EV EV [ x, y ] [ x, y ] d d x ( ) y ( ) ( ) x ( ) ( ) y ( ) ( / ) d[ x ( ) y ( )] ( / ) d [ x ( ) y ( )] where ( ) ( ) ( ) ( ) ( ) ( ) * d d x y x y c ( ) ( ),, N N j J c k J d d j mj j k mk k where J ( ), are he specral denses of nose of wo bahs., (5) (6) The funcons, can be represened n he followng convenen form, ( ), ( ), ( ) d J, ( )[coh(, / )cos( ) sn( )], (7) see, for example [5]. We use he Ohmc case when J, ( ),, whch gves, ( ), ( ) /, where () s he max dela-funcon, /, where max s he maxmal frequency of excaons whn,,,, 8
9 bahs. Takng no accoun Eq. (7) he Eq. (3) for propagaor can be rewren as follows J ( x, x, y, y, ; x, x, y, y,) Dx Dy exp S [ x ] S [ y ] S [ x ] S [ y ] () () A A ex ex d d{ x ( ) y ( )} ( ){ x ( ) y ( )} exp d d{ x ( ) y( )} ( ){ x( ) y( )}exp [ ( ) ( )] d x y. (8) Dx Dy exp S [ x ] S [ y ] S [ x ] S [ y ] S [ x, x ] S [ y, y ] () () A A ex ex d d{ x ( ) y ( )} ( ){ x ( ) y ( )} exp d d{ x( ) y( )} ( ){ x( ) y( )}exp d [ x ( ) y ( )] The expresson n Eq. (8) can be ransformed n o J ( x, x, y, y, ; x, x, y, y,) D x D y D x D y exp S A[ x ] S A[ y] () () () () S A[ x] S A[ y] S[ x, x] S[ y, y] Sex[ x ] Sex[ y] Sex [ x] Sex [ y], (9) M d[ x ( ) x ( ) y ( ) y ( ) x ( ) y ( ) y ( ) x ( )] M d[ x ( ) x ( ) y ( ) y ( ) x ( ) y ( ) y ( ) x ( )] exp[ ( )] where we desgaed,, /M,, and [ x, y] are equal max M d Coh d d { x ( ) y ( )}cos[ ( )]{ x ( ) y ( )} kt B where,., () The Eq. (9) for propagaor can be rewren n he compac form as follows where J ( x, x, y, y, ; x, x, y, y,) D x D y D x D y exp S[ x, x, y, y]exp[ ( )], () S[ x, x, y, y ] dl ( x, x, x, x, y, y, y, y ). () Then, we wre he Lagrangan n Eq. () omng he sragh lnes over he leers for brevy The Lagrange equaons of moon L M x / M y / M x / M y / Mx / M y / M x / M y /. (3) M [ x x y y x y y x ] M [ x x y y x y y x ] x x y y x f ( ) y f ( ) x f ( ) y f ( ) d L L d L L,, (,), () d x x d y y 9
10 as appled o he Lagrangan n Eq. (3) gve he followng sysem of coupled equaons for drven oscllaors x y x ( / M) x f( ) / M x y x ( / M ) x f ( ) / M y x y ( / M) y f( ) / M y x y ( / M ) y f ( ) / M. (5) Soluon of he sysem s done n Appendx A. The classcal soluon s obaned n new varables X x y, x y. In hese new varables he Lagrangan n Eq. (3) reads,,,,,, L M X / M X / M X M X / M X / M X. (6) ( / )( X X ) f ( ) f ( ) Now, we represen he pahs expressed n new varables as he sums X X X,, explcly selecng classcal pahs n Eqs.(A5, A6)-(A8,,,,,,, A9) and flucuang pars X,,, wh boundary condons X, () X, ( ), () ( ). The Lagrangan n Eq.(6) becomes,, L L + L M X / M X / M X M X / M X / M X ( / )( X X ) f ( ) f ( ) M X / M X / M X M X / M X / M X ( / )( X X ) f ( ) f ( ). (7) Wh he above descrbed assumpons and akng no accoun Eq.(7) he acon n Eq.() calculaed n new varables S Scl S s expressed as follows where () () () () () cl L ( ), cl cl cl ex ex S d S S S S S S L ( ) d S S S S S () () ex ex, (8) S S S S D ( X ) [ D D]( X ) [ D D]( X ) () () () () cl cl ex ex f f 5 5 f f 6 6 f f D( X ) D ( X ) D ( X ) D ( X ) D( X ) D( X ) f f f 3 f f 3 f ]( ) D ( X ) [ D7 D7 ]( X f ) [ D8 D8 ]( X f ) [ D9 D 9 X f [ D D ]( X ) [ D D ]( X ) [ D D ]( X ) f d ( ) f ( ) d ( ) f ( ). (9)
11 Then, we subsue no he nhomogeneous par he oal classcal rajecores for, and separae consans and varables of negraon where () d ( ) f ( ) d ( ) f ( ), (3) d ( ) f ( ) d ( ) f ( ) ( ) ( ) ( ) p p, (), () are wren n Appendx C. Then we have aken no accoun he neracons n () Scl beween wo oscllaors S ( X ) ( X ) ( X ) ( X ) () cl f f f f 3 f f f f 5( X f ) 6( X f ) 7( X f ) 8( X f ), (3) ( X ) ( X ) ( X ) ( X ) 9 f f f f ( X ) ( X ) ( X ) ( X ) wh emporal funcons k k(), k,...,6 from [5]. Fnally, we have for he classcal acons n Eq.(8) S S S S S [ D ]( X ) [ D D ]( X ) () () () () () cl cl cl ex ex f f f f [ D D ]( X ) [ D ]( X ) {( D ) 6 6 f f f f 9 f ( D D ) U ( )} X {( D ) ( D D ) U ( )} X 7 7 f f 8 8 f {( D3 5 ) X f ( D D 7 ) X f ( )} {( D 3 8 ) X f ( D D ) X ( )} [ D ]( X ) [ D D ]( X ) f 3 [ D D ]( X ) [ D ]( X ) d ( ) f ( ) d ( ) f ( ) 5 6 p p ( ) U ( ) where he erms U( ), U( ), U( ), ake no accoun nhomogeneous addonal erms n acons (3) () () () cl cl cl paral p p p [ S ( ) S ( ) S ( )] d { M X / M X / M X M X / M X / M X ( / )[ X X ]} p p p p p U ( ) U ( ) X U ( ) X. (33) Then we should calculae of he funcons, n Eq.() akng no acooun he form of he classcal soluon wh exernal forces max M d Coh d d { x ( ) y ( )}cos[ ( )]{ x ( ) y ( )} kt B M M max d Coh d d{ ( )}cos[ ( )]{ ( )} kt B dcoh kt B max where,. d d{ ( )}cos[ ( )]{ ( )} p p, (3)
12 The exernal forces are no lead o new resuls n Eq.(3) compare wh prevous calculaons n [3-5], because relaed addonal erm n Eq.(3) has no varables for furher negraon. Calculaons of a classcal acon and funcons, n Eq.() yeld he fnal expresson for he propagaor n case of wo drven coupled oscllaors J X X X X C S S S S S () () () () () ( f, f, f, f, ;,,,,) ( )exp { cl cl cl ex ex } exp { A ( ) B ( ) C ( ) }exp { A ( ) B ( ) C ( ) } f f f f exp { E ( ) E( ) f E3 f E f f ( ) ( ) }, (35) G( X, X,,, ; X, X,,,) f f f f where all me dependen funcons A (), B (), C (), E (),,,,,3, are wren n [5]. The funcon C () consss all rrelevan erms, whch have no varables for furher negraon. The flucuaonal negral n Eq.(35) s G( X f, X f, f, f, ; X, X,,,) exp { } D X D X D D S S S S ex, (36) exp { [, ] [, ]}exp { [, ] [, ]} T T T T where he negraon s carred ou along all closed pahs because X, () X, ( ) and, (), ( ), and funcons T, T can be found n [3]. The flucuaonal negral n Eq.(36) whou of he addonal erm relaed o exernal forces s calculaed n [3], and he addonal erm S ex s no change our fnal resul. B. Reduced densy marx of drven coupled oscllaors Thus, afer calculang of he flucuaonal negral he fnal form of he propagang funcon n Eq.(35) reads J ( X, X,,, ; X, X,,,) C( )exp S () f f f f cl exp S exp { A ( ) B ( ) C ( ) } () cl f f exp S exp { A ( ) B ( ) C ( ) } () cl f f. (37) exp { E ( ) E( ) f E3( ) f E f f ( ) }
13 In order o calculae he reduced densy marx ( x, x, y, y, ) n Eq.() we ough o assgn () he nal densy marxes ( x, y,) and A () A ( x, y,) for wo seleced oscllaors. In new varables we have nsead of Eq.() he followng expresson for he reduced densy marx ( X f, X f, f, f, ) dx dx dd J( X f, X f, f, f, ; X, X,,,), (38) () () ( X,,) ( X,,) A A where we choose he same nal saes of oscllaors as n [3-5] ( k ) / A ( X k, k,) ( ) exp k ( X k k ) / 8 k, ( k, ) (39) where, (,) k k are he nal spaal varances of wo oscllaors. Usng he propagaor from Eq.(37) and Eq.(39) an negraon n Eq.(38) s sraghforward and leads o an explc expresson for he reduced densy marx of wo drven coupled oscllaors, whch s vald for any me, ncludng a seady sae regme. In case of exernal forces he oal non-herman, n general, densy marx s as follows ( X, X, ;,,) C( )exp g ( ) X g ( ) X X g ( ) X f f f f f f f f exp g ( ) f g ( ) f f g ( ) f exp g ( ) X g ( ) X g ( ) X g ( ) X f f f f f f f f Aex X f Bex ( ) X f exp Aex ( ) f Bex ( ) f exp ( ) aex X f bex X f aex f bex f exp ( ) ( ) exp ( ) ( ), where C () s he normalzaon consan, g( ), g( ), g ( ), A ( ), B ( ), a ( ), b ( ) are ex ex ex ex pure real funcons. The non-hermcy of he n Eq.() can be easly proved recallng ha X f x f y f, f xf yf and akng no accoun he realy properes of he jus above menoned funcons. The Herman par of he of he n Eq.() can be easly exraced represenng as usual as a sum of he Herman and an-herman pars. Bu, s occure n hs problem ha A A, B B and a a, b b. Tha s why we can pu A X B X A B A x A y B x B y ex f ex f ex f ex f ex f ex f ex f ex f a X b X a b a x a y b x b y ex f ex f ex f ex f ex f ex f ex f ex f (),, () The Herman densy marx n hs case s as follows ( X, X,,, ) C( )exp g ( ) X g ( ) X X g ( ) X f f f f f f f f exp g ( ) f g ( ) f f g ( ) f exp g ( ) X g ( ) X g ( ) X g ( ) X f f f f f f f f aex X f bex ) X f exp Aex ( ) f Bex ( ) f exp ( ) (, () 3
14 where g( ), g( ), g ( ) and a ( ), b ( ) ex ex, A ( ), B ( ) are wren down n Appendx B. ex ex The Hermcy ( x, x, y, y, ) ( y, y, x, x, ) * f f f f f f f f of he marx n Eq.() s clear now and all mean values of observables are real, see he Appendx C. Also, we can o represen he non-herman marx n Eq.() as follows ( X, X, ;,,) C( ) ( ) ( ), (3) f f f f H N where he Herman par () s he marx from Eq.() and he non-herman par H ( ) exp A ( ) X B ( ) X exp a ( ) b ( ). () N ex f ex f ex f ex f Then, represenng he oal marx as a sum of he Herman and an-herman pars we can o oban C[ ( ) / ( ) / ] C, (5) H N N H N N H whch can be fullflled under resrcons A A, B B and ex ex ex ex a a, b b. These relaons are n agreemen wh approxmaons acceped n ex ex ex ex Eq.(). C. Temporal dynamcs of mean values All elemens of a covarance marx for he drven coupled oscllaors are obaned n Appendx C usng he Herman densy marx from Eq.(). I should be noed ha all dspersons of coordnaes and momena n hs problem are dencal o he problem of coupled quanum oscllaors whou exernal forces. Bu, he mean quadrac values of coordnaes and momena are esseally dfferen n hese problems. Besdes, mean values of coordnaes and momena are no equal o zero n he problem under our sudy, conrary o he problem whou of exernal forces, where he mean values of coordnaes and momena are equal zero. We nvesgaed dspersons n our prevous papers n [3-5] ha s why we pu our man aenon o sudy he emporal dynamcs of mean values of coordnaes of coupled oscllaors under he acon of exernal forces. For our sudy we chose he exponenal-lke exernal forces f ( ) f ( ) Exp( ), (,), (6) whch are swched on a dfferen mes, (,) n general, where f s he force amplude, s he un sep funcon, s he decayng facor. To chose he approprae ampludes of he forces we consder ha he oal ncrease of momena of an oscllaor durng a me nerval from o s as follows p p d f ( ) f exp( ). (7)
15 Then, we use he vral heorem o oban f x exp( ), where x, for example, can be of he dsperson x /M. For numercal calculaons we have chosen he followng parameers of oscllaors: 3 M 3 g, M 5M, rad / s, 3,., relang o sold maerals, and,, s, 3 sfor he exernal forces. Fg. exemplfes he normalzed mean values of he coordnaes x ( ) /, (,) of he frs a) and second b) oscllaors versus a me, where / M, (,) usng Eq.(C, C8). These fgures correspond o he case of no couplng, and o he case of he oal equlbrum, when T T 3K. The profles of exernal forces f (), of un amplude and of dfferen sgns n accordance wh Eq.(6) s shown beween of hese graphs, as well as n fgures 3,. I s clearly seen ha he mean values ends o zero, when boh of he forces f,. Also, we can see absoluely ndependen and dfferen dynamcs of seleced oscllaors, as mus be a and a dfferen parameers of oscllaors and forces. Fg.3 shows he normalzed mean values of he coordnaes x ( ) /, (,) of he frs a) and second b) oscllaors versus a me usng Eq.(C, C8) a relavely srong couplng 5
16 / MM.3beween of oscllaors. These fgures also correspond o he case of he oal equlbrum, whent T 3K. As well as n he prevous fgure s clearly seen ha he mean values ends o zero, when boh of he forces f,. Bu, n hs case we can see ha he frs exernal force also acs on he second oscllaor due o couplng a when f. Ths value of he couplng consan has been chosen because of he model of blnear couplng breaks down a sronger couplngs, see, for nsance, [, 5]. The normalzed mean values of he coordnaes x ( ) /, (,) of he frs a) and second b) oscllaors versus a me usng Eq.(C, C8) a.3 beween of oscllaors are shown n Fg. n he case ou of oal equlbrum n he sysem, when T 3K and T 9K. A comparson of fgures 3 and shows ha he dfference n emperaures yelds n a dfferen dynamcs of coupled oscllaors. I should be noed ha despe of parameers and hermodynamcal condons n he problem under sudy, he mean values of coordnaes ends o zero a he force zerong. Ths corresponds o A ( ), B ( ), a ( ), b ( ) of ex ex ex ex he densy marx n Eq.(). The funcons A ( ), B ( ), a ( ), b ( ) n Eq.() are no zero ex ex ex ex 6
17 only n he case when he exernal forces are no zero, see correspondng formulas n Appendx B. I should be noed ha n calculaons of mean values we can use arbrary forms of exernal forces ncludng sngle mpulses, whch are fne n me, or mpulse sequences wh gven onoff me rao, seady sae forces alernang n me, consan n me and so on, whch can be appled a any me o any of wo coupled oscllaors. Besdes, he seleced oscllaors can be characerzed by arbrary properes a dfferen emperaures of separaed bahs, n general. IV. Concluson Our paper s devoed o sudy of he relaxaon problem of open quanum sysems drven by exernal forces. We consdered wo blnear coupled oscllaors and, n s urn, each of hese oscllaors s coupled wh separae reservors of harmonc oscllaors and subjeced by exernal forces. Correspondng Hamlonan s provded. In he nal me all neracons among oscllaors are swched on and mananed durng arbrary me nerval. Then, he arbrary exernal forces begn acng a arbrary me momens. Usng he pah negral mehods we found and analyzed an analycal expresson for me-dependen densy marx of wo forced coupled quanum oscllaors neracng wh dfferen reservors of oscllaors. We calculaed correspondng propagaor n hs case. All elemens of he covarance marx are calculaed usng 7
18 he known reducon procedure. I s shown ha he mean values of coordnaes and momena of coupled oscllaors are no zero n case of exernally drven oscllaors. Tme-dependen behavor of he mean values a dfferen condons s graphcally llusraed. Coupled dynamcs of seleced oscllaors a relavely large couplng consans s demonsraed a dfferen hermodynamc condons. I s neresng o noe ha he mean quadrac characerscs of oscllaors are dfferen for he case of freely developng par of oscllaors and for he drven par of oscllaors, bu her dspersons are dencally equal. Acknowledgemen References [] V.B. Magalnsk, Zh. Eksp. Teor. Fz, 36, 9 (959) [Sov. Phys. JETP 9, 38 (959)] [] I.R. Senzky, Phys.Rev. 9, 67 (96). [3] G.W. Ford, M. Kac and P. Mazur, J. Mah. Phys. 6, 5 (965). [] P. Ullersma, Physca 3, 7, 56, 7, 9 (966). [5] A.O. Caldera and A. J. Legge, Phys. Rev. Le. 6, (98). [6] V. Hakm and V. Ambegaokar, Phys. Rev. A 3, 3 (985). [7] P.S. Rseborough, P. Hängg, U.Wess, Phys. Rev. A 3, 7 (985). [8] A. J. Legge e al., Rev. Mod. Phys. 59, (987). [9] G.W. Ford, J.T. Lews and R.F. O Connell, Phys. Rev. A 37, 9 (988). [] G.W. Ford, J.T. Lews and R.F. O Connell, Ann. Phys. (N.Y.) 85, 7 (988). [] G.W. Ford, J.T. Lews and R.F. O Connell, J. Sa. Phys. 53, 39 (988). [] X.L. L, G.W. Ford and R.F. O Connell, Am. J. Phys. 6, 9 (993). [3] M.B. Mensky, Connuous Quanum Measuremens and Pah Inegrals, (IOP Publshng Ld, Brsol and Phladelpha, 993) [] T. Drch, P. Hangg, G.-L. Ingold, B. Kramer, G. Schon, W. Zwerger, Quanum Transpor and Dsspaon, (Wley-VCH, Wenhem, 998) [5] U. Wess, Quanum Dsspave sysems, (World Scenfc, Sngapore, 999) [6] M.B. Mensky, Phys. Usp (3). [7] P. Hängg and G-L. Ingold, Chaos 5, 65 (5). [8] G.W. Ford and R.F. O Connell, Phys. Rev. B 75, 33 (7). [9] P. Hängg, G-L Ingold and P. Talkner, New J. Phys., 58 (8). [] A. O. Caldera and A. J. Legge, Physca A, 587 (983). [] J. Rau, Phys. Rev. 9, 88 (963). [] M. Bolserl, M. Rch and W.M. Vsscher, Phys. Rev. A, 86 (969). 8
19 [3] M. Rch and W.M. Vsscher, Phys. Rev. B, 6 (975). [] R. Glauber and V.I. Man ko, Zh. Eksp. Teor. Fz. 87, 79 (98) [Sov. Phys. JETP 6, 5 (98)]. [5] U. Zürcher and P. Talkner, Phys.Rev. A, 378 (99). [6] A. Chmondou and E.C.G. Sudarshan, Phys. Rev. A 77, 3 (8). [7] R. J. Rubn and W. L. Greer, J. Mah.Phys. 97, 686. [8] Venkaeshan Kannan, Abhshek Dhar, and J. L. Lebowz Phys. Rev. E 85, 8. [9] Kej Sao and Abhshek Dhar, Phys. Rev. E 83,. [3] Eseban A. Marnez and Juan Pablo Paz, Phys. Rev. Le., 36 (3). [3]Kuan-Lang Lu and Hs-Sheng Goan, Phys. Rev. A 76, 3 (7). [3]Juan Pablo Paz and Auguso I. Roncagla, Phys. Rev. Le., (8). [33]Juan Pablo Paz and Auguso I. Roncagla, Phys. Rev. A 79, 3 (9). [3]Jose Nahuel Freas and Juan Pablo Paz, Phys. Rev. A 85, 38 (). [35]Chung-Hsen Chou, Tng Yu and B.L. Hu, Phys. Rev. E 77 (8). [36]F. Galve, G.L. Gorgu, and R. Zambrn, Phys. Rev. A 8 () 67. [37]C. Hörhammer and H. Büner, Phys. Rev. A 77 (8) 35. [38]A.Ghesquere, I.Snaysky, F.Peruccone, Phys. Scrpa, 5 () 7. [39]A.Ghesquere, I.Snaysky, F.Peruccone, Phys. Le. A 377 (3) [] Fernando Galve, Leonardo A. Pacho n, and Davd Zueco, Phys. Rev. Le. 5, 85 () [] Andres F. Esrada, Leonardo A. Pachon, [hp://arxv.org/abs/.338]. [] I. A. Dorofeyev, Can. J. Phys. 9, 537 (3). [3] I. A. Dorofeyev, Can. J. Phys., 9(), 8- (). [] I. A. Dorofeyev, Can. J. Phys., (5). arxv:7.9v [quan-ph] [5] I. A. Dorofeyev, arxv:.5 (). [6] R. P. Feynman and A. R. Hbbs, Quanum mechancs and pah negrals (McGraw-Hll Book company, New-York, 965). [7] L. S. Shulmann, Technques and applcaons of pah negraon, (John Wley& Sons Inc., New-York, 98). [5] R. P. Feynman and F. L. Vernon, Annals of Phys. 8, 57 (). [5] H. Klener, Pah Inegrals n Quanum Mechancs, Sascs, Polymer Physcs, and Fnancal Markes (World Scenfc, Sngapore, 99). [5] G-L. Ingold, Coheren Evoluon n Nosy Envronmens Lecure Noes n Physcs 6, (). 9
20 [53] L. I. Mandelsam, A Complee Collecon of Works, Ed. by M.A. Leonovch, Vol. (AN SSSR, Moscow, 955). [5] S. P. Srelkov, Inroducon o he Theory of Oscllaons (Nauka, Moscow, 96). [55] D. I. Trubeskov, A. G. Rozhnev, Lnear Oscllaons and Waves (Fzmal, Moscow, ). [56] M. F. Sarry, Sov. Phys. Usp. 3 () 958 (99). Appendx A. Soluon o he sysem n Eq.(5) for classcal pahs wh exernal forces. The oal analyss of he coupled moon has been done on he bass of he exbooks [53-55]. In new varables we obaned from Eq.(5) wo pars of coupled equaons for classcal pahs X X X ( / M) X, (A) X X X ( / M ) X ( / M) f( ) / M ( / M ) f( ) / M. A general soluon of he frs par of homogeneous equaons can be found n [3]. In s urn, he second par of equaons n (A) for he classcal pahs ( ), of backward ampludes mus (A) be solved akng no accoun paral soluons () p and () p of nhomogeneous equaons ( ) B sn( )exp( ) r B sn( )exp( ) ( ), p ( ) r B sn( )exp( ) B sn( )exp( ) ( ), p (A3) where ( ) r ( ) ( ) r( ) B sn, sn, p p p p B ( rr ) ( rr ) ( ) r ( ) ( ) r ( ) B cos exp( ) co( ), f p f p p p ( r r )sn( ) ( r r ) ( ) r ( ) ( ) r( ) B cos exp( ) co( ), f p f p p p ( r r )sn( ) ( r r ) (A) (A5) where we use he bref noaons ( ) and ( ), ( k,) for he paral pk pk pk pk soluons. I should be noed ha he paral soluon can be chosen ha,. Correspondng way o oban such a soluon s descrbed jus below. p p p p
21 Le s desgnae n (A) F ( ) f( )/ M, F ( ) f( ) / M and represen he rgh par n (A) as follows Fk( ) Re{ Fk( )exp( ) d / }, ( k, ) (A6) We seek for he paral soluon of he sysem (A) n he same form pk ( ) Re{ gk ( )exp( ) d / }, ( k, ) (A7) Subsuon (A6),(A7) no he sysem n (A) yelds n ( / M ) f ( ) D ( ) f ( ) g ( ) A ( ) D( ), D ( ) D ( ) / MM ( / M ) f ( ) D ( ) f ( ) g ( ) A ( ) D( ), D ( ) D ( ) / MM (A8) (A9) where D( ) D ( ) D ( ) / M M, D ( ) ( ), ( k,), [ D] s he k k k Drac dela funcon, A ( ), are unknown funcons, whch properes can be found from he analycy of g ( ) and from boundary condons for, (), a,. The delafunconal erms n (A8),(A9) appear n he soluons due o reasonng descrbed, for nsance n [56]. From Eqs.(A8),(A9) we can see ha he vbraons of coupled oscllaors are deermned by boh of exernal forces va her couplng consan. The deermnan equaon D( ) D ( ) D ( ) / M M has dfferen n general smple p p poles as he roos of he equaon 3 a b c d where a, b, c, d are pure real numbers a ( ), b ( ), c ( ), d / M M. (A) The above equaon of he fourh order has four dfferen complex roos, and,3. Furher, we no need he cumbersome explc expressons for,. Takng no accoun (A7)-(A9) and properes of he Kronecker dela-funcon we oban j d A, ( )e j p, p( ) Re C,( )e Re, (A) j D( j ) where D ( j ) s he frs dervaon of he deermnan funcon a he roos j, ( j,...,), and ( / ) ( ) ( ) ( ) ( / ) ( ) ( ) ( ) C ( ) M F D F, C ( ) M F D F. D ( ) D ( ) / MM D ( ) D ( ) / MM (A)
22 I s clear from he second pars n (A) ha he sums mus be pure real. Ths allows pung some useful resrcons on he unknown complex funcons A, ( ). Takng no accoun ha D( ) D( ) and D( ) D( 3) because, and,3, and represenng he unknown funcons as A, A, A, we have where and j A, ( j )e e A, A, j D( j ) D( ) Re Re ( )e ( )e e Re A, ( )e A, ( 3)e, D( ) Re{ A ( )e A ( )e } Im{ A ( )e A ( )e },,,, [ A ( ) A ( )]cos [ A ( ) A ( )]sn,,,, {[ A ( ) A ( )]cos [ A ( ) A ( )]sn },,,, Re{ A ( )e A ( )e } Im{ A ( )e A ( )e },,,, [ A ( ) A ( )]cos [ A ( ) A ( )]sn,, 3,, 3 {[ A ( ) A ( )]cos [ A ( ) A ( )]sn },,, 3, 3, (A3) (A) (A5) Because n Eq.(A),(A5) we need only he pure real pars, he pure magnary pars n hese equaons can be subjeced by some convenen relaons beween he real and magnary pars of he funcons A, A ( ) A ( ), A ( ) A ( ),,,,, A ( ) A ( ), A ( ) A ( ).,, 3,, 3 (A6) Ths perms o rewre he sums n (A3) as follows j A, ( j )e e Re A, ( )cos A, ( )cos D( ) D( ) j j e A, ( )cos A, ( 3)cos, D( ) Then, we can pu addonal resrcons A ( ) A ( ), A ( ) A ( ), and (A7) A ( ) A( ), A ( ) A ( ), whch follow from smlar groundngs. Oher choce of 3 3 relaons leads o rval denes. Usng he obaned relaons we have he rajecores n he followng forms d e e p C D( ) D( ) ( ) Re ( )e ( ) ( ), (A8)
23 where d e e p C D( ) D( ) ( ) Re ( )e ( ) ( ), (A9) ( ) A( )cos A ( )sn, ( ) A( )cos A ( )sn 3 (A) Then, sasfyng he condons () and ( ) we fnd he unknown funcons,, A ( ), A ( ), A ( 3), A ( ) and oban he seekng for paral soluons d e sn( ) sn( ) p( ) Re C( ) e C ( ) C ( ) sn( ) sn( ) e cos( ) e cos( ) cos( ) sn( ) C () cos( ) sn( ) C () sn( ) sn( ) d e sn( ) sn( ) p( ) Re C( ) e C ( ) C ( ) sn( ) sn( ) e cos( ) e cos( ) cos( ) sn( ) C () cos( ) sn( ) C () sn( ) sn( ) where (A) (A3) d d C () Re C ( ) Re C ( ), d d C ( ) Re C ( ) e Re C ( ) e. (A) Fnally, we wre a general soluon of he homogeneous sysem of equaons (A) sasfyng boundary condons X ( ) w ( )sn( )exp( ) w cos( )exp( ) w ( ) r sn( )exp( ) w r cos( )exp( ), 3 (A5) X ( ) w ( ) r sn( )exp( ) w r cos( )exp( ) w ( )sn( )exp( ) w cos( )exp( ), 3 where X f r X f X r X X r X w ( ) exp( ) co( ), w, ( r r )sn( ) ( r r ) ( r r ) X f r X f X r X X r X w3 ( ) exp( ) co( ), w. ( r r )sn( ) ( r r ) ( r r ) A general soluon of he nhomogeneous sysem of equaon (A) sasfyng he condons (A6) (A7), (), and, () f, s as follows 3
24 ( ) v ( )sn( )exp( ) v cos( )exp( ) v ( ) r sn( )exp( ) v r cos( )exp( ) ( ), 3 p ( ) v ( ) r sn( )exp( ) v r cos( )exp( ) v ( )sn( )exp( ) v cos( )exp( ) ( ), 3 p (A8) (A9) where v r r v r f f ( ) exp( ) co( ), ( r r )sn( ) ( r r ) ( r r ) f r f r r v3( ) exp( ) co( ), v, ( r r )sn( ) ( r r ) ( r r ) and paral soluons (), are from (A),(A3). p p (A3) Appendx B. Temporal funcons relaed o Eq.() Some of he emporal funcons n Eq.() can be found n [5]. Here we repersen oher funcons whch are necessary n calculang of a covarance marx relaed o he case of drven coupled oscllaors. Below we keep n mnd ha g( ) g(,, T, T ), g ( ) g (,, T, T), a ( ) a (,, T, T ), bex ( ) bex (,, T, T), Aex ( ) Aex (,, T, T), Bex ( ) Bex (,, T, T) ex ex and, all he funcons n Eq.() are pure real ( D D ) e ( C / a ) Z Y g ( ), g ( C a) a( C a) ( D 6) Z Y ( D )( D D ) e e ( C / a ) Z Z Y Y ( ), ( C a) a( C a) ( D 6) Z Y ( D 3 8) e5 ( C / a) Z3 Y g(), ( C a ) a ( C a ) ( D ) Z Y 6 A E e ( C / a ) Z Y g ( ), 3 ( C a) a( C a) ( D 6) Z Y E B E e e ( C / a ) Z Z Y Y g ( ), ( C a) a( C a) ( D 6) Z Y A B e ( C / a) Z5 Y3 g (), ( C a ) a ( C a ) ( D ) Z Y 6 (B) (B)
25 ( D ) E ( D D ) e e ( C / a ) Z Z Y Y g ( ), ( C a) a( C a) ( D 6) Z Y ( D D ) E ( D ) e e ( C / a ) Z Z YY g () ( C a) a( C a) ( D 6) Z Y ( D D ) B ( D D ) e e ( C / a ) g () ( C a) a( C a) ( D 6) Z Z Y Y Z Y 5 3 5, ( D ) B ( D ) e e ( C / a ) Z Z YY 3 g (). Y ( C a) a( C a) ( D 6) Z The funcon whch ake no accoun of exernal forces are a b ex ex ( D D ) ( e ( D )) () ( C a) [ a( C a) ( D 6) ] Z ( [ On]) ( y [ Ro]) ( y Z ), Z Y Y Z ( D 3 8) ( e5 ( D 6)) () ( C a ) [ a ( C a ) ( D ) ] 6 Z ( [ On]) ( y [ Ro]) ( y Z ), Z Y Y Z M( ) r M ( ) r r M ( ) r M ( ) ( E3) Aex () ( r r )sn( ) exp( ) ( r r )sn( ) exp( ) ( C a) z ( [ On] ) ( e )( D ) ( Y ) Z ( [ Ro ] 6 ), Z 6 Z [ a( C a) ( D 6) ] Y r M ( ) M ( ) r r M ( ) r M( ) ( B ) Bex () ( r r )sn( ) exp( ) ( r r )sn( ) exp( ) ( C a) z ( [ On] ) ( e )( D ) ( Y ) Z ( [ 6 Ro] ), Z Z [ a( C a) ( D 6) ] Y E e3 ( D 6) where On ( C a ) a ( C a ) ( D ) 6, and ( D D ) e ( D ) Z Ro [ On]. 6 6 ( C a) a( C a) ( D 6) Z ( f r f )[ M( ) r M ( )] ( f r f )[ M ( ) r M ( )] ( ), ( r r )sn( )exp( ) ( r r )sn( )exp( ), (B3) (B) (B5) (B6) 5
26 ( ) co( ) M ( ) N ( ) r r co( ) M ( ) r r N ( ) ( rr ) r co( ) M ( ) r N( ) r co( ) M ( ) r N ( ), ( ) r co( ) M ( ) r N ( ) r co( ) M ( ) r N ( ) ( rr ) r r co( ) M ( ) r r N( ) co( ) M ( ) N( ), (B7) where M ( ) d f ( )sn( ) exp( ), k k k N ( ) d f ( )cos( ) exp( ), ( k, ) k k k M ( ) d f ( )sn( ) exp( ), k k k N ( ) d f ( )cos( ) exp( ), ( k, ) k k k (B8) Below he funcons whch are no nvolved n our numercal calculaons, bu hey deermne he non-herman marx n Eq. (). a ex () e V ( C a ) ( z V ) e ( D ) [ a ( C a ) ( D ) ] Z a ( C a ) ( D ) Y ( e e Z / Z )( C a ) [ V V ], ( ) ( ) b ex 3 6 Y a C a D 6 () ev ( C a ) [ a ( C a ) ( D ) ] Z a( C a) ( D 6) Y ( e e Z / Z )( C a ) [ V V ], ( ) ( ) A ex Y a C a D 6 () ( z V ) e ( D ) ( e V ( C a )) ( ZV) e ( D ) [ a ( C a ) ( D ) ] Z a ( C a ) ( D ) ( y ) ( e e Z / Z )( C a ) [ V V ]; ( ) ( ) B ex Y a C a D 6 () ( e5v ( C a)) ( Z3V ) e3 ( D 6) [ a ( C a ) ( D ) ] Z a ( C a ) ( D ) ( y ) ( e e Z / Z )( C a ) [ V V ]; ( ) ( ) 3 6 Y a C a D (B9) (B) Juxaposon of a (), b (), A (), B () wh a (), b (), A (), B () shows ha n ex ex ex ex mos cases we mus evenually compare he funconsv, wh,. Our verfcaon shows ha ex ex ex ex V,,, and we dd no wre ou hem here, because her rrelevance. 6
27 Appendx C. Mean values, varances and covarances of coordnaes and momena of drven coupled oscllaors For furher convenence we nroduce desgnaons 8 g( ), g ( ), 8 g( ), and A () A, B () B, a () a, b () b for brevy. ex ex ex Then he oal Herman densy marx wh exernal forces s ex ( X f, X f, ; f, f,) C( )exp ( ) X f / 8 ( ) X f X f / ( ) X f / 8 exp g ( ) f g ( ) f f g ( ) f exp g ( ) X f f g ( ) X f f g ( ) X f f g ( ) X f f exp Aex ( ) f B ex ( ) f exp a ex ( ) X f b ex ( ) X f, (C) where X f x f y f and f xf yf, (, ). I s known ha n order o oban mean values of observables of one oscllaor we should o reduce he oal densy marx wh respec o he observables of oher oscllaor. For example or wh use of he oher varables ( x, ; y,) lm { ( x, x, ; y, y,)} dx, (C) f f y f f f f f f xf ( X, ;,) lm { ( X, X, ;,,)} dx, (C3) f f f f f f f f and a smlar formulae for he second oscllaor. The reduced densy marxes are as follows 8 ( X, ;,) C exp[ ax ( / 8) X A g X f f f f f f f (b X g ) / 8 g ], f f f 8 ( X, ;,) C exp[ ax ( / 8) X B g X f f f f f f f (a X g ) / 8 g ]. f f f, (C) (C5) The normalsaon consan C () can be found, for nsance from Eq.(C) or Eq.(C5) lm { ( X, ;,)} dx lm { ( X, ;,)} dx f f f f f f f f. (C6) For cross-correlaed values we need anoher normalsaon condon as follows lm { ( X, X, ;,,)} dx dx, (C7) f f For any case he normalsaon consan s f f f f f f 7
28 ( b ab a ) C ( ) exp. (C8) Afer hs we have everyhng o calculae all he mean values, varances and covarances as usual L lm { Lˆ ( x, ; y,)} dx, f f f yf xf L lm { Lˆ ( x, ; y,)} dx, f f f yf xf L lm { Lˆ ( x, x, ; y, y,)} dx dx, ( m, n, ) mn yf xf mn f f f f f f yf xf, (C9) where Lˆ xˆ pˆ xˆ pˆ,(, ), and L ˆ { xˆ xˆ, pˆ pˆ, xˆ pˆ, pˆ xˆ }, ( m, n,), {,,( ),( ) } mn m n m n m n m n where pˆ / x. m m Usng above wren formulas we fnd all he characerscs. For he frs oscllaor he mean value of he coordnae ( b a ) x (), (C) for he mean value of he coordnae n square for he dsperson of he coordnae for he mean value of he momenum b (8 ab ) ( a ) () ( ) x x ( ) x ( ) ( ) ( ) ( ) a g p g b g g for he mean value of he momenum n square, (C), (C) A, (C3) p ( ) ( ) {6 b ( g g ) 6 a ( g g ) 8 aa( g g )( ) 8 b( g g ) [ a( g g ) A( )] ( )[8gg g g A ( )] ( ) g} for he dsperson of he momenum, (C) ( g g g g ) p ( ) p ( ) g, (C5) for he smmersed mean value of he cross covarance for he frs oscllaor 8
29 [ x p ( ) p x ( )]/ ( ) { b ( g g ) a ( g g ) ( g g )( ) ba( ) 3 b[ A ( ) a( g g g )]} for he commuaor of he frs oscllaor, (C6) x p ( ) p x ( ). (C7) For he second oscllaor he mean value of he coordnae ( a b ) x (), (C8) for he mean value of he coordnae n square for he dsperson of he coordnae for he mean value of he momenum x a (8 ab ) ( b ) () ( ) x ( ) x ( ) ( ) ( ) ( ) a g p g b g g for he mean value of he momenum n square, (C9), (C) B, (C) p ( ) ( ) {6 b ( g g ) 6 a ( g g ) 8 ab( g g )( ) 8 b( g g ) [ a( g g ) B( )] ( )[8g g g g B ( )] ( ) g} for he dsperson of he momenum, (C) ( g g g g ) p ( ) p ( ) g, (C3) for he smmersed mean value of he cross covarance for he second oscllaor [ x p ( ) p x ( )]/ ( ) { b ( g g ) a ( g g ) ( g g )( ) ab( ) 3 b[ B ( ) a( g g g )]} for he commuaor of he second oscllaor, (C) x p ( ) p x ( ), (C5) for he coordnae covarance of boh oscllaors 9
30 ab( ) ( a ) b 3 () ( ) x x for he momenum covarance of boh oscllaors, (C6) for he oher covarances of boh oscllaors p p ( ) p p ( ), (C7) x p ( ) p x ( ) x p ( ) p x ( ). (C8) I s easy o oban from above wren formulas all elemens of he covarance marx for he case of zero exernal forces by pung A B a b. In hs case all he mean values are equal zero x ( ) x ( ) p ( ) p ( ). Tha s why he formulas have a smpler vew. Namely, for he dsperson of he coordnae of he frs oscllaor x () for he dsperson of he momenum of he frs oscllaor, (C9) ( g g g g ) p( ) g, (C3) for he smmersed mean value of he cross covarance for he frs oscllaor for he commuaor of he frs oscllaor [ x p ( ) p x ( )]/ for he dsperson of he coordnae of he second oscllaor ( g g ), (C3) x p ( ) p x ( ), (C3) x () for he dsperson of he momenum of he second oscllaor, (C33) ( g g g g ) p( ) g, (C3) for he smmersed mean value of he cross covarance for he second oscllaor [ x p ( ) p x ( )]/ for he coordnae covarance of boh oscllaors x x () for he commuaor of he second oscllaor ( g g ), (C33), (C35) 3
31 x p ( ) p x ( ), (C36) and oher covarances of boh oscllaors are equal zero. Fnally, we have oal se of 6 marx elemens for he covarance marx boh n cases wh and whou exernal forces and mean values of observables. Fgure capons: Fgure. A skech of he problem suded: a) - wo ndependen reservors,, and wo uncoupled seleced oscllaors; b) - he couplngs among all oscllaors are swched on a ; c) he frs exernal force s appled o he frs coupled oscllaor a ; d) he second exernal force s appled o he second coupled oscllaor a. Fgure. Normalzed mean values of he coordnaes x ( ) /, (,) of he frs a) and second b) oscllaors versus a me, where / M, (,) usng Eq.(C, C8). Ths fgures correspond o he case of no couplng, and oal equlbrum, when T T 3K. The emporal dynamcs of exernal forces f (), n accordance wh Eq.(6) s shown beween of hese graphs. Fgure 3. Normalzed mean values of he coordnaes x ( ) /, (,) of he frs a) and second b) oscllaors versus a me usng Eq.(C, C8) a relavely srong couplng / MM.3beween of oscllaors. These fgures also correspond o he case of he oal equlbrum, whent T 3K. Fgure. Normalzed mean values of he coordnaes x ( ) /, (,) of he frs a) and second b) oscllaors versus a me usng Eq.(C, C8) a.3 beween of oscllaors n he case ou of oal equlbrum n he sysem, when T 3K and T 9K. 3
( ) () 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 informationLet 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 informationHEAT 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 informationSolution 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 informationNATIONAL 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 informationDensity 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 informationApproximate 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 informationLinear 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 informationOn 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 informationNotes 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 informationMechanics 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 informationMechanics 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 informationMechanics 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 informationDensity 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 informationExistence 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 informationPart 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 informationQUANTUM TO CLASSICAL TRANSITION IN THE THEORY OF OPEN SYSTEMS
QUANTUM THEORY QUANTUM TO CLASSICAL TRANSITION IN THE THEORY OF OPEN SYSTEMS A ISAR Deparmen of Theorecal Physcs, Insue of Physcs and Nuclear Engneerng, Buchares-Magurele, Romana e-mal address: sar@heorynpnero
More informationMotion 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 informationLecture 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 informationBorn Oppenheimer Approximation and Beyond
L Born Oppenhemer Approxmaon and Beyond aro Barba A*dex Char Professor maro.barba@unv amu.fr Ax arselle Unversé, nsu de Chme Radcalare LGHT AD Adabac x dabac x nonadabac LGHT AD From Gree dabaos: o be
More informationCS286.2 Lecture 14: Quantum de Finetti Theorems II
CS286.2 Lecure 14: Quanum de Fne Theorems II Scrbe: Mara Okounkova 1 Saemen of he heorem Recall he las saemen of he quanum de Fne heorem from he prevous lecure. Theorem 1 Quanum de Fne). Le ρ Dens C 2
More informationJohn 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 informationCS434a/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 informationV.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 informationSampling Procedure of the Sum of two Binary Markov Process Realizations
Samplng Procedure of he Sum of wo Bnary Markov Process Realzaons YURY GORITSKIY Dep. of Mahemacal Modelng of Moscow Power Insue (Techncal Unversy), Moscow, RUSSIA, E-mal: gorsky@yandex.ru VLADIMIR KAZAKOV
More informationJ 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 informationThe 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 information2.1 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 informationP R = P 0. The system is shown on the next figure:
TPG460 Reservor Smulaon 08 page of INTRODUCTION TO RESERVOIR SIMULATION Analycal and numercal soluons of smple one-dmensonal, one-phase flow equaons As an nroducon o reservor smulaon, we wll revew he smples
More informationChapter 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 informationA 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( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model
BGC1: Survval and even hsory analyss Oslo, March-May 212 Monday May 7h and Tuesday May 8h The addve regresson model Ørnulf Borgan Deparmen of Mahemacs Unversy of Oslo Oulne of program: Recapulaon Counng
More informationM. 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 informationRelative controllability of nonlinear systems with delays in control
Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.
More informationFirst-order piecewise-linear dynamic circuits
Frs-order pecewse-lnear dynamc crcus. Fndng he soluon We wll sudy rs-order dynamc crcus composed o a nonlnear resse one-por, ermnaed eher by a lnear capacor or a lnear nducor (see Fg.. Nonlnear resse one-por
More informationTHE 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 informationQUANTUM TO CLASSICAL TRANSITION IN THE LINDBLAD THEORY OF OPEN QUANTUM SYSTEMS
Romanan Repors n Physcs, Vol. 57, No., P. 573 583, 005 QUANTUM TO CLASSICAL TRANSITION IN THE LINDBLAD THEORY OF OPEN QUANTUM SYSTEMS A. ISAR Deparmen of Theorecal Physcs, Insue of Physcs and Nuclear Engneerng,
More informationFI 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 informationScattering 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. 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. 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 informationCH.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 informationRobustness 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[ ] 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 informationOrdinary 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 informationChapter 2 Linear dynamic analysis of a structural system
Chaper Lnear dynamc analyss of a srucural sysem. Dynamc equlbrum he dynamc equlbrum analyss of a srucure s he mos general case ha can be suded as akes no accoun all he forces acng on. When he exernal loads
More informationIn 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 informationFTCS 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 informationResponse of MDOF systems
Response of MDOF syses Degree of freedo DOF: he nu nuber of ndependen coordnaes requred o deerne copleely he posons of all pars of a syse a any nsan of e. wo DOF syses hree DOF syses he noral ode analyss
More information( ) [ ] MAP Decision Rule
Announcemens Bayes Decson Theory wh Normal Dsrbuons HW0 due oday HW o be assgned soon Proec descrpon posed Bomercs CSE 90 Lecure 4 CSE90, Sprng 04 CSE90, Sprng 04 Key Probables 4 ω class label X feaure
More informationDynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005
Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc
More informationLecture 2 M/G/1 queues. M/G/1-queue
Lecure M/G/ queues M/G/-queue Posson arrval process Arbrary servce me dsrbuon Sngle server To deermne he sae of he sysem a me, we mus now The number of cusomers n he sysems N() Tme ha he cusomer currenly
More informationESTIMATIONS OF RESIDUAL LIFETIME OF ALTERNATING PROCESS. COMMON APPROACH TO ESTIMATIONS OF RESIDUAL LIFETIME
Srucural relably. The heory and pracce Chumakov I.A., Chepurko V.A., Anonov A.V. ESTIMATIONS OF RESIDUAL LIFETIME OF ALTERNATING PROCESS. COMMON APPROACH TO ESTIMATIONS OF RESIDUAL LIFETIME The paper descrbes
More informationMotion 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 informationDEEP 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 informationGENERATING 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 informationPerformance Analysis for a Network having Standby Redundant Unit with Waiting in Repair
TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen
More informationHow 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 informationLecture 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 informationPolymerization 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 informationOutline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model
Probablsc Model for Tme-seres Daa: Hdden Markov Model Hrosh Mamsuka Bonformacs Cener Kyoo Unversy Oulne Three Problems for probablsc models n machne learnng. Compung lkelhood 2. Learnng 3. Parsng (predcon
More information2/20/2013. 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 informationSupplementary Material to: IMU Preintegration on Manifold for E cient Visual-Inertial Maximum-a-Posteriori Estimation
Supplemenary Maeral o: IMU Prenegraon on Manfold for E cen Vsual-Ineral Maxmum-a-Poseror Esmaon echncal Repor G-IRIM-CP&R-05-00 Chrsan Forser, Luca Carlone, Fran Dellaer, and Davde Scaramuzza May 0, 05
More informationUNIVERSITAT 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 information3. 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 informationTSS = 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 informationQuantum Mechanical Foundations of Causal Entropic Forces
Quanum Mechancal Foundaons of ausal Enropc Forces wapnl hah Deparmen of Elecrcal and ompuer Engneerng Norh arolna ae Unversy, U s he number of expers ncrease, each specaly becomes all he more self-susanng
More informationGraduate 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 informatione-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 informationMEEN Handout 4a ELEMENTS OF ANALYTICAL MECHANICS
MEEN 67 - Handou 4a ELEMENTS OF ANALYTICAL MECHANICS Newon's laws (Euler's fundamenal prncples of moon) are formulaed for a sngle parcle and easly exended o sysems of parcles and rgd bodes. In descrbng
More informationReal time processing with low cost uncooled plane array IR camera-application to flash nondestructive
hp://dx.do.org/0.6/qr.000.04 Real me processng wh low cos uncooled plane array IR camera-applcaon o flash nondesrucve evaluaon By Davd MOURAND, Jean-Chrsophe BATSALE L.E.P.T.-ENSAM, UMR 8508 CNRS, Esplanade
More informationFall 2010 Graduate Course on Dynamic Learning
Fall 200 Graduae Course on Dynamc Learnng Chaper 4: Parcle Flers Sepember 27, 200 Byoung-Tak Zhang School of Compuer Scence and Engneerng & Cognve Scence and Bran Scence Programs Seoul aonal Unversy hp://b.snu.ac.kr/~bzhang/
More informationDual Approximate Dynamic Programming for Large Scale Hydro Valleys
Dual Approxmae Dynamc Programmng for Large Scale Hydro Valleys Perre Carpener and Jean-Phlppe Chanceler 1 ENSTA ParsTech and ENPC ParsTech CMM Workshop, January 2016 1 Jon work wh J.-C. Alas, suppored
More informationVariants 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 informationRobust 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 informationAdvanced Machine Learning & Perception
Advanced Machne Learnng & Percepon Insrucor: Tony Jebara SVM Feaure & Kernel Selecon SVM Eensons Feaure Selecon (Flerng and Wrappng) SVM Feaure Selecon SVM Kernel Selecon SVM Eensons Classfcaon Feaure/Kernel
More informationCubic Bezier Homotopy Function for Solving Exponential Equations
Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.
More informationAppendix 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 informationChapters 2 Kinematics. Position, Distance, Displacement
Chapers Knemacs Poson, Dsance, Dsplacemen Mechancs: Knemacs and Dynamcs. Knemacs deals wh moon, bu s no concerned wh he cause o moon. Dynamcs deals wh he relaonshp beween orce and moon. The word dsplacemen
More informationA HIERARCHICAL KALMAN FILTER
A HIERARCHICAL KALMAN FILER Greg aylor aylor Fry Consulng Acuares Level 8, 3 Clarence Sree Sydney NSW Ausrala Professoral Assocae, Cenre for Acuaral Sudes Faculy of Economcs and Commerce Unversy of Melbourne
More informationIncluding the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.
Soluons o Ordnary Derenal Equaons An ordnary derenal equaon has only one ndependen varable. A sysem o ordnary derenal equaons consss o several derenal equaons each wh he same ndependen varable. An eample
More informationEEL 6266 Power System Operation and Control. Chapter 5 Unit Commitment
EEL 6266 Power Sysem Operaon and Conrol Chaper 5 Un Commmen Dynamc programmng chef advanage over enumeraon schemes s he reducon n he dmensonaly of he problem n a src prory order scheme, here are only N
More informationMath 128b Project. Jude Yuen
Mah 8b Proec Jude Yuen . Inroducon Le { Z } be a sequence of observed ndependen vecor varables. If he elemens of Z have a on normal dsrbuon hen { Z } has a mean vecor Z and a varancecovarance marx z. Geomercally
More informationH = 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 informationCHAPTER 5: MULTIVARIATE METHODS
CHAPER 5: MULIVARIAE MEHODS Mulvarae Daa 3 Mulple measuremens (sensors) npus/feaures/arbues: -varae N nsances/observaons/eamples Each row s an eample Each column represens a feaure X a b correspons o he
More informationEP2200 Queuing theory and teletraffic systems. 3rd lecture Markov chains Birth-death process - Poisson process. Viktoria Fodor KTH EES
EP Queung heory and eleraffc sysems 3rd lecure Marov chans Brh-deah rocess - Posson rocess Vora Fodor KTH EES Oulne for oday Marov rocesses Connuous-me Marov-chans Grah and marx reresenaon Transen and
More informationAnalysis And Evaluation of Econometric Time Series Models: Dynamic Transfer Function Approach
1 Appeared n Proceedng of he 62 h Annual Sesson of he SLAAS (2006) pp 96. Analyss And Evaluaon of Economerc Tme Seres Models: Dynamc Transfer Funcon Approach T.M.J.A.COORAY Deparmen of Mahemacs Unversy
More informationChapter 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 informationMethod of upper lower solutions for nonlinear system of fractional differential equations and applications
Malaya Journal of Maemak, Vol. 6, No. 3, 467-472, 218 hps://do.org/1.26637/mjm63/1 Mehod of upper lower soluons for nonlnear sysem of fraconal dfferenal equaons and applcaons D.B. Dhagude1 *, N.B. Jadhav2
More informationPendulum Dynamics. = Ft tangential direction (2) radial direction (1)
Pendulum Dynams Consder a smple pendulum wh a massless arm of lengh L and a pon mass, m, a he end of he arm. Assumng ha he fron n he sysem s proporonal o he negave of he angenal veloy, Newon s seond law
More informationComb Filters. Comb Filters
The smple flers dscussed so far are characered eher by a sngle passband and/or a sngle sopband There are applcaons where flers wh mulple passbands and sopbands are requred Thecomb fler s an example of
More informationChapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are
Chaper 6 DEECIO AD EIMAIO: Fundamenal ssues n dgal communcaons are. Deecon and. Esmaon Deecon heory: I deals wh he desgn and evaluaon of decson makng processor ha observes he receved sgnal and guesses
More informationTransient Response in Electric Circuits
Transen esponse n Elecrc rcus The elemen equaon for he branch of he fgure when he source s gven by a generc funcon of me, s v () r d r ds = r Mrs d d r (')d' () V The crcu s descrbed by he opology equaons
More informationAdvanced Macroeconomics II: Exchange economy
Advanced Macroeconomcs II: Exchange economy Krzyszof Makarsk 1 Smple deermnsc dynamc model. 1.1 Inroducon Inroducon Smple deermnsc dynamc model. Defnons of equlbrum: Arrow-Debreu Sequenal Recursve Equvalence
More informationNormal Random Variable and its discriminant functions
Noral Rando Varable and s dscrnan funcons Oulne Noral Rando Varable Properes Dscrnan funcons Why Noral Rando Varables? Analycally racable Works well when observaon coes for a corruped snle prooype 3 The
More information10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :
. A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one
More informationPolitical Economy of Institutions and Development: Problem Set 2 Due Date: Thursday, March 15, 2019.
Polcal Economy of Insuons and Developmen: 14.773 Problem Se 2 Due Dae: Thursday, March 15, 2019. Please answer Quesons 1, 2 and 3. Queson 1 Consder an nfne-horzon dynamc game beween wo groups, an ele and
More informationOnline 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 informationVolatility Interpolation
Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local
More informationTHERMODYNAMICS 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