Griffiths-McCoy singularities in the random transverse-field Ising spin chain
|
|
|
- Emma Newman
- 9 years ago
- Views:
Transcription
1 PHYSICAL REVIEW B VOLUME 59, NUMBER 17 1 MAY 1999-I Griffiths-McCoy singularitis in th random transvrs-fild Ising spin chain Frnc Iglói Rsarch Institut for Solid Stat Physics and Optics, P.O. Box 49, H-1525 Budapst, Hungary and Institut for Thortical Physics, Szgd Univrsity, H-6720 Szgd, Hungary Róbrt Juhász Institut for Thortical Physics, Szgd Univrsity, H-6720 Szgd, Hungary and Rsarch Institut for Solid Stat Physics and Optics, P.O. Box 49, H-1525 Budapst, Hungary Hiko Rigr Institut für Thortisch Physik, Univrsität zu Köln, Köln, Grmany and NIC c/o Forschungszntrum Jülich, Jülich, Grmany Rcivd 30 Novmbr 1998 W considr th paramagntic phas of th random transvrs-fild Ising spin chain and study th dynamical proprtis by numrical mthods and scaling considrations. W xtnd our prvious work Phys. Rv. B 57, to nw quantitis, such as th nonlinar suscptibility, highr xcitations, and th nrgydnsity autocorrlation function. W show that in th Griffiths phas all th abov quantitis xhibit powr-law singularitis and th corrsponding critical xponnts, which vary with th distanc from th critical point, can b rlatd to th dynamical xponnt z, th lattr bing th positiv root of (J/h) 1/z av 1. Particularly, whras th avrag spin autocorrlation function in imaginary tim dcays as G av () 1/z, th avrag nrgy-dnsity autocorrlations dcay with anothr xponnt as G av () 21/z. S I. INTRODUCTION Quantum phas transitions occur at zro tmpratur by varying a paramtr of th Hamiltonian,.g., th strngth of a transvrs fild. Qunchd, i.., tim-indpndnt disordr, has gnrally a profound ffct on th proprtis of th quantum systm not only at th critical point, but also in a whol rgion, which xtnds in both sids of th critical point. In this so-calld Griffiths phas th dynamical proprtis of th random quantum systms ar xcptional: for xampl, th imaginary tim-dpndnt avrag spin-spin corrlations dcay algbraically 1 G av 1/z, 1.1 whr th dynamical xponnt z() is a continuous function of th quantum control paramtr. From hr on w us av to dnot avraging ovr qunchd disordr. Th physical origin of this typ of singular bhavior, as was pointd out by Griffiths 2 for classical systms, is th xistnc of clustrs in th random systm, which ar mor strongly coupld than th avrag. Th spins of such clustrs, bing locally in th ordrd phas, bhav cohrntly as a giant spin and th corrsponding rlaxation tim is vry larg. Thus in an infinit systm thr is no finit tim scal and, as a consqunc, th autocorrlations dcay algbraically, as in Eq Svral physical quantitis, which involv an intgral of th autocorrlation function.g., th static suscptibility ar singular not only at th critical point but also in a finit rgion of th paramagntic phas. This phnomnon was first noticd by McCoy in a two-dimnsional classical modl with corrlatd disordr quivalnt to a on-dimnsional random quantum modl 4 thrfor w call th Griffiths singularitis in quantum systms Griffiths-McCoy singularitis. Many of th thortical studis on random quantum systms ar rlatd to random quantum frromagnts 5 and quantum spin glasss, 6 which also hav xprimntal ralizations. 7 In highr (d2 and d3) dimnsions on gnrally studis th distribution of th linar and nonlinar suscptibilitis, th asymptotic bhavior of thos can b rlatd to th dynamical xponnt z() by scaling considrations. According to numrical studis in agrmnt with ths phnomnological thoris z() is found as a continuous function of th quantum control paramtr, which appars to hav a finit limiting valu at th critical point 0 of spin glasss, 6 whras it is divrging for random frromagnts. 5 Many faturs of Griffiths-McCoy singularitis can alrady b sn in on-dimnsional systms, whr many xact and conjcturd rsults xist. In this papr w considr th prototyp of random quantum systms, th random transvrs-fild Ising modl RTIM in on dimnsion, dfind by th Hamiltonian H l J l x x l l1 h l z l. 1.2 l Hr l x, l z ar Pauli matrics at sit l and th J l xchang couplings and th h l transvrs-filds ar random variabls with distributions (J) and (h), rspctivly. Not that in on dimnsion all th couplings and filds can b takn positiv through a gaug transformation. Th modl in Eq. 1.2 is in th frromagntic paramagntic phas if th couplings /99/5917/113087/$15.00 PRB Th Amrican Physical Socity
2 PRB 59 GRIFFITHS-McCOY SINGULARITIES IN THE RANDOM in avrag ar strongr wakr than th transvrs filds. As a convnint quantum control-paramtr on can dfin ln h avln J av varln hvarln J, 1.3 whr varx dnots th varianc and at th critical point 0. Th Hamiltonian in Eq. 1.2 is closly rlatd to th transfr matrix of a classical two-dimnsional layrd Ising modl, which was first introducd and partially solvd by McCoy and Wu. 8 Latr th critical proprtis of th quantum modl was studid by Shankar and Murthy, 9 and in grat dtail by Fishr. 10 Through a rnormalization group RG transformation Fishr has obtaind many nw rsults on static quantitis and qual tim corrlations, which ar claimd to b xact for larg scals, i.., in th vicinity of th critical point. Many of Fishr s rsults hav bn chckd numrically 11 and in addition nw rsults hav bn obtaind about critical dnsity profils, 12 tim-dpndnt critical corrlations, 13 and various probability distributions and scaling functions. 11,14 Latr, using simpl xprssions about th surfac magntization and th nrgy gap svral xact rsults hav bn drivd by making us of a mathmatical analogy with surviving random walks, 14 s also Rf. 15. In th Griffiths phas, whr th RG rsults ar rstrictd to th immdiat vicinity of th critical point, i.., as 0, numrical invstigations both on tmpratur-dpndnt 16 spcific hat, suscptibility and dynamical quantitis spinspin autocorrlations, distribution of th nrgy gap and suscptibility 14,11 hav lad to th conclusion that th bhavior of all ths quantitis is a consqunc of Griffiths- McCoy singularitis and can b charactrizd by a singl varying xponnt z() in Eq Vry rcntly an analytical xprssion for z() has bn drivd 17 by using an xact mapping 18 btwn th Hamiltonian in Eq. 1.2 and th Fokkr-Planck oprator of a random walk in a random nvironmnt. Th dynamical xponnt, which is givn by th positiv root of th quation h J 1/z 1.4 av1, gnrally dpnds both on and on th distributions (J) and (J). Howvr it bcoms univrsal, i.., distribution indpndnt, in th vicinity of th critical point whn z() 1/(2), 1, in accordanc with th RG rsults. 10 Th numrical rsults obtaind about diffrnt singular quantitis in th Griffiths phas ar all in agrmnt with th analytical formula in Eq. 1.4 and th obsrvd small dviations ar attributd to finit-siz corrctions. 16,14 Th singular quantitis studid so far in th Griffiths phas ar all rlatd to th scaling proprtis of th lowstnrgy gap, which xplains th obsrvation that a singl varying xponnt is sufficint to charactriz th singularitis of th diffrnt quantitis. Thr ar, howvr, othr obsrvabls, which ar xpctd to b singular too, but not connctd dirctly to th first gap. For xampl, on could considr th distribution of th scond or som highr gap. For similar rasons as for th first gap ths highr xcitations ar also xpctd to vanish in th thrmodynamic limit and th corrsponding probability distributions ar dscribd by nw xponnts for small valus of th gaps. As anothr xampl w considr th connctd transvrs spin autocorrlation function G l () l z (0) l z (). In th twodimnsional classical vrsion of Eq. 1.2, th McCoy-Wu modl, this function corrsponds to th nrgy-dnsity corrlation function in th dirction whr th disordr is corrlatd. Thrfor w adopt in th following this trminology and call G l () th nrgy-dnsity autocorrlation function. Sinc th invrs tim scal for ths corrlations is, as w shall s, dtrmind by th scond gap, on xpcts that also G av () has an algbraic dcay: G av, 1.5 with an xponnt. Finally on should mntion that th nonlinar suscptibility s distribution is xpctd to b dscribd by a nw varying xponnt. In this papr w xtnd prvious numrical work and study th scaling bhavior of th abovmntiond singular quantitis in th Griffiths phas. W prsnt a phnomnological scaling thory and w confront its prdictions with rsults of numrical calculations, basd on th fr-frmion rprsntation of th Hamiltonian in Eq W show that th physical quantitis w studid ar charactrizd by powr-law singularitis with varying critical xponnts, whos valus ar connctd to th dynamical xponnt through scaling rlations. Throughout th papr w us two typs of random distributions. In th symmtric binary distribution th couplings could tak two valus 1 and 1/ with th sam probability, whil th transvrs-fild is constant: J 1 2 JJ1, hhh At th critical point h 0 1, whras in th Griffiths phas, 1h 0, th dynamical xponnt from Eq. 1.4 is dtrmind by th quation h 0 1/z cosh ln z. 1.7 In th uniform distribution both th couplings and th filds hav rctangular distributions: 1 for 0J1, J 0, othrwis, h h 0 1, for 0hh 0, 0, othrwis. 1.8 Th critical point is also at h 0 1, whras th dynamical xponnt is givn by th solution of th quation z ln1z 2 ln h 0, 1.9 whr th Griffiths phas now xtnds to 1h 0. Th structur of th papr is as follows. In Sc. II w prsnt th fr frmion dscription of various dynamical quantitis. Phnomnological and scaling considrations ar
3 FERENC IGLÓI, RÓBERT JUHÁSZ, AND HEIKO RIEGER PRB 59 givn in Sc. III and th numrical rsults ar prsntd in Sc. IV. Finally, w clos th papr with a discussion. II. FREE FERMION DESCRIPTION OF DYNAMICAL QUANTITIES W considr th random transvrs-fild Ising modl in Eq. 1.2 on a finit chain of lngth L with fr boundary conditions. Th Hamiltonian in Eq. 1.2 is mappd through a Jordan-Wignr transformation and th following canonical transformation 19 into a fr frmion modl: L H q1 q q q in trms of th q ( q ) frmion cration annihilation oprators. Th nrgy of mods q is obtaind through th solution of an ignvalu problm, which ncssitats th diagonalization of a 2L2L tridiagonal matrix with nonvanishing matrix lmnts T 2i1,2i T 2i,2i1 h i, i 1,2,...,L and T 2i,2i1 T 2i1,2i J i, i1,2,...,l1, and dnot th componnts of th ignvctors V q as V q (2i1) q (i) and V q (2i) q (i), i1,2,...,l, i.., 0 h1 h 1 0 J 1 0 J T 1 0 h 2 h 2 0 J L1 J L1 0 h L h L 0, q q 2 V q q1 q L1 L. 2.2 q q W considr only th q 0 part of th spctrum. 20 Th local suscptibility l at sit l is dfind through th local magntization m l as m l l lim, H l H l whr H l is th strngth of th local longitudinal fild, which ntrs th Hamiltonian 1.2 via an additional trm H l l x. l can b xprssd as l 2 i i l x 0 2 E i E 0, 2.4 whr 0 and i dnot th ground stat and th ith xcitd stat of H in Eq. 1.2 with nrgis E 0 and E i, rspctivly. For boundary spins on has th simpl xprssion 1 2 q q 1 2 q. 2.5 Similarly, th local nonlinar suscptibility is dfind by and can b xprssd as nl 3 m l l lim 3 H l 0 H l nl l 24 i, 0 x 1 l i i x j,k E i E l j j x 1 E j E l k k x 0 E k E l 0 0 i i l x 2 0 j E i E 0 x l 0 2 j E j E It should b notd that it is not th first sum on th right-hand sid RHS of Eq. 2.7 that givs th lading contribution, sinc at last on of th thr nrgy diffrncs most involv a highr xcitation (i l x j0 for i j). For surfac spins l1, Eq. 2.7 simplifis to l nl 24 p,q p 1 2 q 1 2 p q p p p1 p 1 p 1 q 2 q 1 2 q q. 2.8 Nxt w considr th nrgy-dnsity corrlation function at sit l, G l, dfind by G l 0 l z l z 000 l z 00 l z 00 i0 0 l z 0 2 xpe i E 0. In th fr-frmion rprsntation it is givn by 2.9 G l l l l l 2 xp, which can b xprssd for surfac spins as G l h l xp Th spin-spin autocorrlation function G l which is dfind as G l in Eq. 2.9 by rplacing l z by l x, is gnrally complicatd and can b xprssd in th form of Pfaffians. 21,14 An xcption is th autocorrlation function for surfac spins, which is simply givn by G 1 q q 1 2 xp q. 2.12
4 PRB 59 GRIFFITHS-McCOY SINGULARITIES IN THE RANDOM III. PHENOMENOLOGICAL AND SCALING CONSIDERATIONS As dscribd in th Introduction th Griffiths-McCoy singularitis in th paramagntic phas ar connctd to th prsnc of strongly coupld clustrs, which ar locally in th ordrd phas and thrfor th corrsponding xcitation nrgy is vry small. For th RTIM th origin of ths clustrs can b xplaind ithr through th analysis of th RG fixd-point distribution, 10 which works only in th vicinity of th critical point, or by using simpl xplicit xprssions for th xcitation nrgy 22,14 and stimat thos through random walk argumnts. 14 Hr w us a simpl phnomnological approach, 1,6,23 whos rsults ar in agrmnt with th abov microscopic mthods. Considr th quantity P L (N) which masurs th probability that in a chain of L sits thr is a clustr of NL strongly coupld spins. Sinc N conscutiv strong bonds can b found with xponntially small probability xp(an), whras th clustr could b placd at L diffrnt sits w hav P L NL xpan. 3.1 Th xcitation nrgy of this sampl corrsponds to th nrgy ndd to flip all spins in th clustr, which is xponntially small in N: 1 xpbn. 3.2 Combining Eq. 3.1 with Eq. 3.2 w hav for th probability distribution of th first gap P L ln 1 L 1 1/z, 3.3 for 1 0 and 1/zA/B. Hr, from th scaling combination in Eq. 3.3: L 1 1/z 1/z, w can idntify z as th dynamical xponnt. Nxt, w considr th scond gap 2 which is connctd to th xistnc of a scond strongly connctd clustr of NN spins, and its valu corrsponds to th nrgy ndd to flip all th spins in th scond clustr simultanously, consquntly, 2 xpbn. 3.4 Th probability with which a clustr of siz N occurs, providd anothr clustr of siz NN xists, is givn by L P L (N)L xp(an) NN P L (N). For NL or in th infinit systm siz limit L ) this can b stimatd as P L NL 2 xp2an. Thus from Eqs. 3.4 and 3.5 w hav with 1/z2A/B, thus P L ln 2 L 2 2 1/z, zz/ Not that th scaling combination on th RHS of Eq. 3.6 is dimnsionlss, as it should b. Rpating th abov argumnt for th third, or gnrally th nth gap th corrsponding distribution is dscribd by an xponnt z (n) z/n, howvr, th finit siz corrctions for ths gaps ar xpctd to incras rapidly with n. Th scaling bhavior of th probability distribution of th suscptibilitis can b obtaind by noticing that both for l and l nl th lading siz dpndnc is connctd with nrgy gaps in th numrators of Eqs. 2.4 and 2.7, rspctivly. Thn for th asymptotic bhavior of th distribution of th local suscptibility w hav lnpln l 1 z ln lconst, 3.8 similar to th invrs gap. For th nonlinar suscptibility th scond trm in th RHS of Eq. 2.7 givs th singular contribution, so that with lnpln nl l 1 z ln nl l nl const, z nl 3z, sinc th asymptotic distribution is th sam as that of th third powr of th invrs gap. W not that th rlation in Eq corrsponds to th phnomnological rsult in Rf. 6. Th scaling bhavior of th avrag spin autocorrlation function is givn by G l av P L 1 M l 2 xp 1 d 1, 3.11 whr th factor with th matrix lmnt is M l 2 1/L, sinc th probability that a low-nrgy clustr is localizd at a givn sit l is invrsly proportional to th lngth of th chain. Thn using Eq. 3.3 on arrivs to th rsult in Eq. 1.1, thus stablishing th rlation btwn th dcay xponnt of th spin autocorrlation function and th dynamical xponnt. For nrgy-dnsity autocorrlations, according to Eqs and 2.11 th charactristic nrgy scal is 2 and th asymptotic bhavior of th avrag nrgy-dnsity autocorrlation function is givn by G l av P L 2 M l 2 xp 2 d Now w tak th xampl of th surfac autocorrlation function in Eq to show that th factor with th matrix lmnt M 1 2 is proportional to 2 2. Th rmaining factor in Eq with th first componnts of th ignvctors is xpctd to scal as 1/L du to similar rasons as for th spin autocorrlations, thus M l 2 L and togthr with Eq. 3.6 on has P L ( 2 )M l 2 L 1/z1 2. Bfor valuating th intgral in Eq w not that for a fixd L th xprssion in Eq stays valid up to L z. Thrfor to obtain th L indpndnt asymptotic bhavior in w should instad vary L, so that according to Eq. 3.6 tak L 1/(2z) 2 and in this way w stay within th bordr of validity of Eq for any. With this modification w
5 FERENC IGLÓI, RÓBERT JUHÁSZ, AND HEIKO RIEGER PRB 59 FIG. 2. Th stimats for 1/z and 1/z as a function of h 0 for th uniform distribution. Ths valus and th corrsponding rror bars hav bn obtaind from our analysis of th probability distribution of ln 1 and ln 2, rspctivly, for two systm sizs as xmplifid in Fig. 1. Th full lin for 1/z corrsponds to th analytical rsult 1.4, th brokn lin corrsponds to 2/z, which w prdict to b idntical to 1/z. FIG. 1. Probability distribution of ln 1 and ln 2 for th uniform distribution at h 0 2 top and th binary distribution (4) at h bottom. Th straight lins ar last squar fits to th data for th largst systm siz, thir slops corrspond to 1/z(h 0 ) and 1/z(h 0 ), rspctivly. Thy follow th prdictd rlation z(h 0 ) z(h 0 )/2. arriv to th rsult in Eq. 1.5 whr th dcay xponnt is rlatd to th dynamical xponnt as 2 1 z, 3.13 whr th rlation in Eq. 3.7 is usd. W xpct that th factor M l 2 has th sam typ of scaling bhavior for any position l, thus th rlation in Eq stays valid both for bulk and surfac spins. W not that th rasoning abov Eq applis also for th spin autocorrlation function, in which cas in Eq. 3.11, howvr, thr is no xplicit L dpndnc. In this way w hav stablishd a phnomnological scaling thory which maks a connction btwn th unconvntional xponnts in Eqs. 3.7, 3.10, and 3.13 and th dynamical xponnt. In th nxt sction w confront ths rlations with numrical rsults. distributions in Fig. 1 w hav stimatd th 1/z and 1/z xponnts for th two largst finit systms L64 and L 128 which ar prsntd in Fig. 2 for diffrnt points of th Griffiths phas for th uniform distribution. As sn in th figur th z xponnt calculatd from th first gap agrs vry wll with th analytical rsults in Eq For th z xponnt, as calculatd from th distribution of th scond gap th scaling rsult in Eq. 3.7 is also wll satisfid, although th rrors of th numrical stimats ar largr than for th first gap. For th third gap, du to th vn strongr finit-siz ffcts, w hav not mad a dtaild invstigation. Extrapolatd rsults at h 0 2 ar found to follow th scaling rsult z (3) z/3. Nxt, w study distribution of th linar and nonlinar local suscptibilitis at th surfac spin. As dmonstratd in Fig. 3 both typs of distributions satisfy th rspctiv asymptotic rlations in Eqs. 3.8 and 3.9, from which th critical xponnts z and z nl ar calculatd. Th stimats ar shown in Fig. 4 at diffrnt points of th Griffiths phas. As sn in th figur th numrical rsults for th dynamical xponnt z ar again in vry good agrmnt with th analytical rsults in Eq. 1.9 and also th xponnt of th nonlinar suscptibility z nl follows th scaling rlation in Eq fairly wll. IV. NUMERICAL RESULTS In th numrical calculations w hav considrd RTIM chains with up to L128 sits and th avrag is prformd ovr svral ralizations, typically w considrd sampls. For som cass, whr th finit-siz corrctions wr strong, w also mad runs with L256, but with somwhat lss ralizations. W start by prsnting rsults on th distribution of th first and scond gaps. As illustratd in Fig. 1, both for th uniform and th binary distributions, th asymptotic scaling rlations for th distribution of th first two gaps in Eqs. 3.3 and 3.6 ar satisfid. From th asymptotic slops of th FIG. 3. Probability distribution of th linar and nonlinar suscptibility ln 1 and ln 1 nl, rspctivly, for th uniform distribution at h 0 3. Th straight lins ar last squar fits to th data for th largst systm siz, thir slops corrspond to 1/z(h 0 ) and 1/z nl (h 0 ), rspctivly. Thy follow th prdictd rlation z nl (h 0 ) 3z(h 0 ).
6 PRB 59 GRIFFITHS-McCOY SINGULARITIES IN THE RANDOM FIG. 4. Th stimats for 1/z and 1/z nl as a function of h 0 for th uniform distribution. Ths valus and th corrsponding rror bars hav bn obtaind from our analysis of th probability distribution of ln 1 and ln 1 nl, rspctivly, for two systm sizs as xmplifid in Fig. 3. Th full lin for 1/z corrsponds to th analytical rsult 1.4, th brokn lin corrsponds to 1/3z, which should b idntical with 1/z nl. Finally, w calculat th avrag nrgy-dnsity autocorrlation function. As sn in Fig. 5, G av () displays a linar rgion in a log-log plot, th siz of which is incrasing with L, but its slop, which is just th dcay xponnt has only a wak L dpndnc. Th slop of th curv and thus th corrsponding dcay xponnt has a variation with th paramtr h 0, as illustratd in Fig. 6. Th stimatd xponnts at th critical point, h 0 1, and in th Griffiths phas ar prsntd in Fig. 7. As sn in this figur th variation of is wll dscribd by th form () (0)1/z(). This functional form corrsponds to th scaling rsult in Eq. 3.13, if th critical point corrlations dcay with Th numrical calculations with L128 giv a slightly highr valu (0) Howvr, th finit-siz stimats show a slowly dcrasing (0) with incrasing systm siz. Rpating th calculation with L256 w obtaind (0) 2.1. Thus w can conclud that th scaling rlation in Eq is probably valid and thn Eq. 4.1 is th xact valu of th dcay xponnt of th avrag critical nrgy-dnsity autocorrlations. 24 FIG. 6. Th bulk nrgy-nrgy autocorrlation function G L/2 av () for th binary distribution (4) at diffrnt valus for h 0 for L128 as a function of ln. On obsrvs th variation of th xponnt (h 0 ) idntical to th slop of th straight lin fits with incrasing h 0. V. DISCUSSION In this papr w hav considrd th random transvrsfild Ising spin chain and studid diffrnt consquncs of th Griffiths-McCoy singularitis in th paramagntic phas. Our main conclusion is that all singular quantitis can b charactrizd by powr-law singularitis and th corrsponding varying critical xponnts can b rlatd to th z() dynamical xponnt and, for nrgy-dnsity autocorrlations, to th (0) critical point xponnt. Sinc th xact valu of z() is known in Eq. 1.4 and w xpct that also th rlation in Eq. 4.1 is valid, w hav a complt analytical dscription of th Griffiths phas of th RTIM in on dimnsion. On intrsting fatur of our rsults concrns th distribution of th highr xcitations and th valu of th corrsponding xponnt z (n) z/n. Sinc th dcay of dynamical corrlations of gnral, mor complx oprators ar rlatd to 1/z (n) n/z, w obtain a hirarchy of dcay xponnts which could b simply xprssd by thos of a fw primary oprators. This fatur is rminiscnt of th towrlik structur of anomalous dimnsions in two-dimnsional conformal modls. 25 Our knowldg about th highr xcitations can also b usd to stimat th corrction to scaling contributions. Much of th rasoning of our phnomnological scaling considrations in Sc. III stays valid for othr random quan- FIG. 5. Th bulk nrgy-nrgy autocorrlation function G L/2 av () for th binary distribution (4) at h for diffrnt systm sizs as a function of ln. Th slop of th straight lin idntifis th xponnt (h 0 ) dscribing th asymptotic dcay of G L/2 av () in th infinit systm siz limit L. Th log-priodic oscillations visibl in th figur ar du to th finit nrgy scal prsnt in th binary distribution. FIG. 7. Th xponnt (h 0 ) for th binary distribution ( 4) as obtaind from th analysis of th asymptotic dcay of th bulk nrgy-nrgy autocorrlation function G L/2 av () in th mannr of Fig. 6. Th full lin is th analytical prdiction (h 0 ) 21/z(h 0 ) with z(h 0 ) givn by th xact formula 1.4 for th binary distribution with 4.
7 FERENC IGLÓI, RÓBERT JUHÁSZ, AND HEIKO RIEGER PRB 59 tum systms. Espcially th scaling bhavior of th highr gaps and th corrsponding rlation in Eq. 3.7 should b valid vn for highr dimnsions and th sam is tru for th distribution of th nonlinar suscptibility and th corrsponding rlation in Eq In on dimnsion th univrsality class of th RTIM involvs svral random systms including, among othrs, th random quantum Potts chain. 26 For ths modls on dos not xpct a univrsality of th z() xponnt in th Griffiths phas, although scaling rlations such as th on in Eq. 3.7 ar vry probably valid. It would b intrsting to prform a numrical study on th random quantum Potts modl to chck th xisting conjcturs. Anothr possibl fild whr th prsnt rsults could b applid is th problm of anomalous diffusion in a random nvironmnt. 17,18,27 Making us of th xact corrspondnc 17,18 btwn th Hamiltonian oprator in Eq. 1.2 and th Fokkr-Planck oprator of th on-dimnsional random walk w can us th rlation in Eq. 3.7 to dscrib th distribution of th ignvalus of th corrsponding Fokkr-Planck oprator. On can also dfin an analogous quantity to th nrgy-dnsity autocorrlation function in Eq by considring connctd prsistnc corrlations, whos asymptotic dcay is rlatd to th distribution of th scond gap, as in Eq Rsarch in this fild is in progrss. ACKNOWLEDGMENTS This study was partially prformd during our visits in Köln and Budapst. F.I. s work was supportd by th Hungarian National Rsarch Fund undr Grant Nos. OTKA TO23642 and OTKA MO28418 and by th Ministry of Education undr Grant No. FKFP 0765/1997. H.R. was supportd by th Dutsch Forschungsgminschaft DFG. 1 S H. Rigr and A.P Young, in Complx Bhavior of Glassy Systms, ditd by M. Rubi and C. Prz-Vicnt, Vol. 492 of Lctur Nots in Physics Springr-Vrlag, Hidlbrg, 1997, p R.B. Griffiths, Phys. Rv. Ltt. 23, In a classical random systm th singularitis in th corrsponding Griffiths-rgion ar wakr,.g., th spin-spin autocorrlation function has an nhancd powr-law dcay i.., xpc(ln t) with 1 in contrast to th powr-law dpndnc obsrvd in quantum systms. 4 B. McCoy, Phys. Rv. Ltt. 23, H. Rigr and N. Kawashima, Europhys. J. B to b publishd; C. Pich, A.P. Young, H. Rigr, and N. Kawashima, Phys. Rv. Ltt. 81, ; T. Ikgami, S. Miyashita, and H. Rigr, J. Phys. Soc. Jpn. 67, H. Rigr and A.P. Young, Phys. Rv. Ltt. 72, ; M. Guo, R.N. Bhatt, and D. Hus, ibid. 72, W. Wu, B. Ellman, T.F. Rosnbaum, G. Appli, and D.H. Rich, Phys. Rv. Ltt. 67, ; W. Wu, D. Bitko, T.F. Rosnbaum, and G. Appli, ibid. 71, B.M. McCoy and T.T. Wu, Phys. Rv. 176, ; 188, ; B.M. McCoy, ibid. 188, R. Shankar and G. Murthy, Phys. Rv. B 36, D.S. Fishr, Phys. Rv. Ltt. 69, ; Phys. Rv. B 51, A.P. Young and H. Rigr, Phys. Rv. B 53, F. Iglói and H. Rigr, Phys. Rv. Ltt. 78, H. Rigr and F. Iglói, Europhys. Ltt. 39, F. Iglói and H. Rigr, Phys. Rv. B 57, D.S. Fishr and A.P. Young, Phys. Rv. B 58, A.P. Young, Phys. Rv. B 56, F. Iglói and H. Rigr, Phys. Rv. E 58, F. Iglói, L. Turban, and H. Rigr, Phys. Rv. E 59, E. Lib, T. Schultz, and D. Mattis, Ann. Phys. N.Y. 16, ; S. Katsura, Phys. Rv. 127, ; P. Pfuty, Ann. Phys. Paris 57, F. Iglói and L. Turban, Phys. Rv. Ltt. 77, J. Stolz, A. Nöpprt, and G. Müllr, Phys. Rv. B 52, F. Iglói, L. Turban, D. Karvski, and F. Szalma, Phys. Rv. B 56, M.J. Thill and D.A. Hus, Physica A 15, Numrical stimats for th dcay xponnt of th avrag nrgy-dnsity autocorrlation function for surfac spins at th critical point ar s 2.5 with L128 Rf. 13, which is somwhat largr than for bulk autocorrlations. Discrpancis btwn stimats for z from surfac and bulk quantitis hav bn obsrvd bfor Rf. 14. Thy can b attributd to corrctions to scaling ffcts which ar diffrnt for diffrnt quantitis, s also Fig. 6 in Rf J.L. Cardy, in Phas Transitions and Critical Phnomna, ditd by C. Domb and J.L. Lbowitz Acadmic, Nw York, 1987, Vol T. Snthil and S. Majumdar, Phys. Rv. Ltt. 76, A. Comtt and D. Dan, J. Phys. A 31, ; D.S. Fishr, P. L Doussal, and C. Monthus, Phys. Rv. Ltt. 80,
Question 3: How do you find the relative extrema of a function?
ustion 3: How do you find th rlativ trma of a function? Th stratgy for tracking th sign of th drivativ is usful for mor than dtrmining whr a function is incrasing or dcrasing. It is also usful for locating
Lecture 3: Diffusion: Fick s first law
Lctur 3: Diffusion: Fick s first law Today s topics What is diffusion? What drivs diffusion to occur? Undrstand why diffusion can surprisingly occur against th concntration gradint? Larn how to dduc th
A Note on Approximating. the Normal Distribution Function
Applid Mathmatical Scincs, Vol, 00, no 9, 45-49 A Not on Approimating th Normal Distribution Function K M Aludaat and M T Alodat Dpartmnt of Statistics Yarmouk Univrsity, Jordan Aludaatkm@hotmailcom and
The example is taken from Sect. 1.2 of Vol. 1 of the CPN book.
Rsourc Allocation Abstract This is a small toy xampl which is wll-suitd as a first introduction to Cnts. Th CN modl is dscribd in grat dtail, xplaining th basic concpts of C-nts. Hnc, it can b rad by popl
(Analytic Formula for the European Normal Black Scholes Formula)
(Analytic Formula for th Europan Normal Black Schols Formula) by Kazuhiro Iwasawa Dcmbr 2, 2001 In this short summary papr, a brif summary of Black Schols typ formula for Normal modl will b givn. Usually
by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia
Studnt Nots Cost Volum Profit Analysis by John Donald, Lcturr, School of Accounting, Economics and Financ, Dakin Univrsity, Australia As mntiond in th last st of Studnt Nots, th ability to catgoris costs
New Basis Functions. Section 8. Complex Fourier Series
Nw Basis Functions Sction 8 Complx Fourir Sris Th complx Fourir sris is prsntd first with priod 2, thn with gnral priod. Th connction with th ral-valud Fourir sris is xplaind and formula ar givn for convrting
Incomplete 2-Port Vector Network Analyzer Calibration Methods
Incomplt -Port Vctor Ntwork nalyzr Calibration Mthods. Hnz, N. Tmpon, G. Monastrios, H. ilva 4 RF Mtrology Laboratory Instituto Nacional d Tcnología Industrial (INTI) Bunos irs, rgntina [email protected]
ME 612 Metal Forming and Theory of Plasticity. 6. Strain
Mtal Forming and Thory of Plasticity -mail: [email protected] Makin Mühndisliği Bölümü Gbz Yüksk Tknoloji Enstitüsü 6.1. Uniaxial Strain Figur 6.1 Dfinition of th uniaxial strain (a) Tnsil and (b) Comprssiv.
Constraint-Based Analysis of Gene Deletion in a Metabolic Network
Constraint-Basd Analysis of Gn Dltion in a Mtabolic Ntwork Abdlhalim Larhlimi and Alxandr Bockmayr DFG-Rsarch Cntr Mathon, FB Mathmatik und Informatik, Fri Univrsität Brlin, Arnimall, 3, 14195 Brlin, Grmany
Traffic Flow Analysis (2)
Traffic Flow Analysis () Statistical Proprtis. Flow rat distributions. Hadway distributions. Spd distributions by Dr. Gang-Ln Chang, Profssor Dirctor of Traffic safty and Oprations Lab. Univrsity of Maryland,
Basis risk. When speaking about forward or futures contracts, basis risk is the market
Basis risk Whn spaking about forward or futurs contracts, basis risk is th markt risk mismatch btwn a position in th spot asst and th corrsponding futurs contract. Mor broadly spaking, basis risk (also
Lecture 20: Emitter Follower and Differential Amplifiers
Whits, EE 3 Lctur 0 Pag of 8 Lctur 0: Emittr Followr and Diffrntial Amplifirs Th nxt two amplifir circuits w will discuss ar ry important to lctrical nginring in gnral, and to th NorCal 40A spcifically.
QUANTITATIVE METHODS CLASSES WEEK SEVEN
QUANTITATIVE METHODS CLASSES WEEK SEVEN Th rgrssion modls studid in prvious classs assum that th rspons variabl is quantitativ. Oftn, howvr, w wish to study social procsss that lad to two diffrnt outcoms.
CPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions
CPS 22 Thory of Computation REGULAR LANGUAGES Rgular xprssions Lik mathmatical xprssion (5+3) * 4. Rgular xprssion ar built using rgular oprations. (By th way, rgular xprssions show up in various languags:
Econ 371: Answer Key for Problem Set 1 (Chapter 12-13)
con 37: Answr Ky for Problm St (Chaptr 2-3) Instructor: Kanda Naknoi Sptmbr 4, 2005. (2 points) Is it possibl for a country to hav a currnt account dficit at th sam tim and has a surplus in its balanc
EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS
25 Vol. 3 () January-March, pp.37-5/tripathi EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS *Shilpa Tripathi Dpartmnt of Chmical Enginring, Indor Institut
Introduction to Finite Element Modeling
Introduction to Finit Elmnt Modling Enginring analysis of mchanical systms hav bn addrssd by driving diffrntial quations rlating th variabls of through basic physical principls such as quilibrium, consrvation
Adverse Selection and Moral Hazard in a Model With 2 States of the World
Advrs Slction and Moral Hazard in a Modl With 2 Stats of th World A modl of a risky situation with two discrt stats of th world has th advantag that it can b natly rprsntd using indiffrnc curv diagrams,
SPREAD OPTION VALUATION AND THE FAST FOURIER TRANSFORM
RESEARCH PAPERS IN MANAGEMENT STUDIES SPREAD OPTION VALUATION AND THE FAST FOURIER TRANSFORM M.A.H. Dmpstr & S.S.G. Hong WP 26/2000 Th Judg Institut of Managmnt Trumpington Strt Cambridg CB2 1AG Ths paprs
Long run: Law of one price Purchasing Power Parity. Short run: Market for foreign exchange Factors affecting the market for foreign exchange
Lctur 6: Th Forign xchang Markt xchang Rats in th long run CON 34 Mony and Banking Profssor Yamin Ahmad xchang Rats in th Short Run Intrst Parity Big Concpts Long run: Law of on pric Purchasing Powr Parity
Fundamentals: NATURE OF HEAT, TEMPERATURE, AND ENERGY
Fundamntals: NATURE OF HEAT, TEMPERATURE, AND ENERGY DEFINITIONS: Quantum Mchanics study of individual intractions within atoms and molculs of particl associatd with occupid quantum stat of a singl particl
AP Calculus AB 2008 Scoring Guidelines
AP Calculus AB 8 Scoring Guidlins Th Collg Board: Conncting Studnts to Collg Succss Th Collg Board is a not-for-profit mmbrship association whos mission is to connct studnts to collg succss and opportunity.
Factorials! Stirling s formula
Author s not: This articl may us idas you havn t larnd yt, and might sm ovrly complicatd. It is not. Undrstanding Stirling s formula is not for th faint of hart, and rquirs concntrating on a sustaind mathmatical
Analyzing the Economic Efficiency of ebaylike Online Reputation Reporting Mechanisms
A rsarch and ducation initiativ at th MIT Sloan School of Managmnt Analyzing th Economic Efficincy of Baylik Onlin Rputation Rporting Mchanisms Papr Chrysanthos Dllarocas July For mor information, plas
5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST:
.4 Eponntial Functions: Diffrntiation an Intgration TOOTLIFTST: Eponntial functions ar of th form f ( ) Ab. W will, in this sction, look at a spcific typ of ponntial function whr th bas, b, is.78.... This
Abstract. Introduction. Statistical Approach for Analyzing Cell Phone Handoff Behavior. Volume 3, Issue 1, 2009
Volum 3, Issu 1, 29 Statistical Approach for Analyzing Cll Phon Handoff Bhavior Shalini Saxna, Florida Atlantic Univrsity, Boca Raton, FL, [email protected] Sad A. Rajput, Farquhar Collg of Arts
Foreign Exchange Markets and Exchange Rates
Microconomics Topic 1: Explain why xchang rats indicat th pric of intrnational currncis and how xchang rats ar dtrmind by supply and dmand for currncis in intrnational markts. Rfrnc: Grgory Mankiw s Principls
Mathematics. Mathematics 3. hsn.uk.net. Higher HSN23000
hsn uknt Highr Mathmatics UNIT Mathmatics HSN000 This documnt was producd spcially for th HSNuknt wbsit, and w rquir that any copis or drivativ works attribut th work to Highr Still Nots For mor dtails
81-1-ISD Economic Considerations of Heat Transfer on Sheet Metal Duct
Air Handling Systms Enginring & chnical Bulltin 81-1-ISD Economic Considrations of Hat ransfr on Sht Mtal Duct Othr bulltins hav dmonstratd th nd to add insulation to cooling/hating ducts in ordr to achiv
Category 7: Employee Commuting
7 Catgory 7: Employ Commuting Catgory dscription This catgory includs missions from th transportation of mploys 4 btwn thir homs and thir worksits. Emissions from mploy commuting may aris from: Automobil
An Adaptive Clustering MAP Algorithm to Filter Speckle in Multilook SAR Images
An Adaptiv Clustring MAP Algorithm to Filtr Spckl in Multilook SAR Imags FÁTIMA N. S. MEDEIROS 1,3 NELSON D. A. MASCARENHAS LUCIANO DA F. COSTA 1 1 Cybrntic Vision Group IFSC -Univrsity of São Paulo Caia
http://www.wwnorton.com/chemistry/tutorials/ch14.htm Repulsive Force
ctivation nrgis http://www.wwnorton.com/chmistry/tutorials/ch14.htm (back to collision thory...) Potntial and Kintic nrgy during a collision + + ngativly chargd lctron cloud Rpulsiv Forc ngativly chargd
Architecture of the proposed standard
Architctur of th proposd standard Introduction Th goal of th nw standardisation projct is th dvlopmnt of a standard dscribing building srvics (.g.hvac) product catalogus basd on th xprincs mad with th
5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power
Prim numbrs W giv spcial nams to numbrs dpnding on how many factors thy hav. A prim numbr has xactly two factors: itslf and 1. A composit numbr has mor than two factors. 1 is a spcial numbr nithr prim
Testing the gravitational properties of the quantum vacuum within the Solar System
Tsting th gravitational proprtis of th quantum vacuum within th Solar Systm Dragan Hajdukovic To cit this vrsion: Dragan Hajdukovic. Tsting th gravitational proprtis of th quantum vacuum within th Solar
Far Field Estimations and Simulation Model Creation from Cable Bundle Scans
Far Fild Estimations and Simulation Modl Cration from Cabl Bundl Scans D. Rinas, S. Nidzwidz, S. Fri Dortmund Univrsity of Tchnology Dortmund, Grmany [email protected] [email protected] Abstract
On the moments of the aggregate discounted claims with dependence introduced by a FGM copula
On th momnts of th aggrgat discountd claims with dpndnc introducd by a FGM copula - Mathiu BARGES Univrsité Lyon, Laboratoir SAF, Univrsité Laval - Hélèn COSSETTE Ecol Actuariat, Univrsité Laval, Québc,
Production Costing (Chapter 8 of W&W)
Production Costing (Chaptr 8 of W&W).0 Introduction Production costs rfr to th oprational costs associatd with producing lctric nrgy. Th most significant componnt of production costs ar th ful costs ncssary
Performance Evaluation
Prformanc Evaluation ( ) Contnts lists availabl at ScincDirct Prformanc Evaluation journal hompag: www.lsvir.com/locat/pva Modling Bay-lik rputation systms: Analysis, charactrization and insuranc mchanism
Essays on Adverse Selection and Moral Hazard in Insurance Market
Gorgia Stat Univrsity ScholarWorks @ Gorgia Stat Univrsity Risk Managmnt and Insuranc Dissrtations Dpartmnt of Risk Managmnt and Insuranc 8--00 Essays on Advrs Slction and Moral Hazard in Insuranc Markt
International Association of Scientific Innovation and Research (IASIR) (An Association Unifying the Sciences, Engineering, and Applied Research)
Intrnational Association of Scintific Innovation and Rsarch (IASIR) (An Association Unifing th Scincs, Enginring, and Applid Rsarch) ISSN (Print): 79-000 ISSN (Onlin): 79-009 Intrnational Journal of Enginring,
The Neolithic transition, a major episode in human history, is
Synthsis btwn dmic and cultural diffusion in th Nolithic transition in Europ Joaquim Fort 1 Complx Systms Laboratory, Dpartmnt of hysics, Univrsity of Girona, ES-1771 Girona, Catalonia, Spain Editd by
Theoretical aspects of investment demand for gold
Victor Sazonov (Russia), Dmitry Nikolav (Russia) Thortical aspcts of invstmnt dmand for gold Abstract Th main objctiv of this articl is construction of a thortical modl of invstmnt in gold. Our modl is
Gold versus stock investment: An econometric analysis
Intrnational Journal of Dvlopmnt and Sustainability Onlin ISSN: 268-8662 www.isdsnt.com/ijds Volum Numbr, Jun 202, Pag -7 ISDS Articl ID: IJDS20300 Gold vrsus stock invstmnt: An conomtric analysis Martin
CALCULATING MARGINAL PROBABILITIES IN PROC PROBIT Guy Pascale, Memorial Health Alliance
CALCULATING MARGINAL PROBABILITIES IN PROC PROBIT Guy Pascal, Mmorial Halth Allianc Introduction Th PROBIT procdur within th SAS systm provids a simpl mthod for stimating discrt choic variabls (i.. dichotomous
Ethanolic Extraction of Soybean Oil: Oil Solubility Equilibria and Kinetic Studies
Ethanolic Extraction of Soyban Oil: Oil Solubility Equilibria and Kintic Studis Christiann E. C. Rodrigus*, Natália M. Longo, Cibl C. Silva, Kila K.. Aracava, Bruna R. Garavazo Sparation Enginring Laboratory
A Theoretical Model of Public Response to the Homeland Security Advisory System
A Thortical Modl of Public Rspons to th Homland Scurity Advisory Systm Amy (Wnxuan) Ding Dpartmnt of Information and Dcision Scincs Univrsity of Illinois Chicago, IL 60607 wxding@uicdu Using a diffrntial
Sharp bounds for Sándor mean in terms of arithmetic, geometric and harmonic means
Qian t al. Journal of Inqualitis and Applications (015) 015:1 DOI 10.1186/s1660-015-0741-1 R E S E A R C H Opn Accss Sharp bounds for Sándor man in trms of arithmtic, gomtric and harmonic mans Wi-Mao Qian
C H A P T E R 1 Writing Reports with SAS
C H A P T E R 1 Writing Rports with SAS Prsnting information in a way that s undrstood by th audinc is fundamntally important to anyon s job. Onc you collct your data and undrstand its structur, you nd
Van der Waals Forces Between Atoms
Van dr Waals Forcs twn tos Michal Fowlr /8/7 Introduction Th prfct gas quation of stat PV = NkT is anifstly incapabl of dscribing actual gass at low tpraturs, sinc thy undrgo a discontinuous chang of volu
Closed-form solutions for Guaranteed Minimum Accumulation Benefits
Closd-form solutions for Guarantd Minimum Accumulation Bnfits Mikhail Krayzlr, Rudi Zagst and Brnhard Brunnr Abstract Guarantd Minimum Accumulation Bnfit GMAB is on of th variabl annuity products, i..
Section 7.4: Exponential Growth and Decay
1 Sction 7.4: Exponntial Growth and Dcay Practic HW from Stwart Txtbook (not to hand in) p. 532 # 1-17 odd In th nxt two ction, w xamin how population growth can b modld uing diffrntial quation. W tart
Upper Bounding the Price of Anarchy in Atomic Splittable Selfish Routing
Uppr Bounding th Pric of Anarchy in Atomic Splittabl Slfish Routing Kamyar Khodamoradi 1, Mhrdad Mahdavi, and Mohammad Ghodsi 3 1 Sharif Univrsity of Tchnology, Thran, Iran, [email protected] Sharif
Version 1.0. General Certificate of Education (A-level) January 2012. Mathematics MPC3. (Specification 6360) Pure Core 3. Final.
Vrsion.0 Gnral Crtificat of Education (A-lvl) January 0 Mathmatics MPC (Spcification 660) Pur Cor Final Mark Schm Mark schms ar prpard by th Principal Eaminr and considrd, togthr with th rlvant qustions,
METHODS FOR HANDLING TIED EVENTS IN THE COX PROPORTIONAL HAZARD MODEL
STUDIA OECONOMICA POSNANIENSIA 204, vol. 2, no. 2 (263 Jadwiga Borucka Warsaw School of Economics, Institut of Statistics and Dmography, Evnt History and Multilvl Analysis Unit [email protected]
Chapter 10 Function of a Matrix
EE448/58 Vrsion. John Stnsby Chatr Function of a atrix t f(z) b a comlx-valud function of a comlx variabl z. t A b an n n comlxvalud matrix. In this chatr, w giv a dfinition for th n n matrix f(a). Also,
1754 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 5, MAY 2007
1754 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 5, MAY 007 On th Fasibility of Distributd Bamforming in Wirlss Ntworks R. Mudumbai, Studnt Mmbr, IEEE, G. Barriac, Mmbr, IEEE, and U. Madhow,
Higher order mode damping considerations for the SPL cavities at CERN
Highr ordr mod damping considrations for th SPL cavitis at CERN W. Wingartn Outlin Th SPL study at CERN HOM damping rquirmnts for SPL study Optimisation of cavity gomtry rlatd to HOM damping Conclusion
Noise Power Ratio (NPR) A 65-Year Old Telephone System Specification Finds New Life in Modern Wireless Applications.
TUTORIL ois Powr Ratio (PR) 65-Yar Old Tlphon Systm Spcification Finds w Lif in Modrn Wirlss pplications ITRODUTIO by Walt Kstr Th concpt of ois Powr Ratio (PR) has bn around sinc th arly days of frquncy
Use a high-level conceptual data model (ER Model). Identify objects of interest (entities) and relationships between these objects
Chaptr 3: Entity Rlationship Modl Databas Dsign Procss Us a high-lvl concptual data modl (ER Modl). Idntify objcts of intrst (ntitis) and rlationships btwn ths objcts Idntify constraints (conditions) End
Policies for Simultaneous Estimation and Optimization
Policis for Simultanous Estimation and Optimization Migul Sousa Lobo Stphn Boyd Abstract Policis for th joint idntification and control of uncrtain systms ar prsntd h discussion focuss on th cas of a multipl
[ ] These are the motor parameters that are needed: Motor voltage constant. J total (lb-in-sec^2)
MEASURING MOOR PARAMEERS Fil: Motor paramtrs hs ar th motor paramtrs that ar ndd: Motor voltag constant (volts-sc/rad Motor torqu constant (lb-in/amp Motor rsistanc R a (ohms Motor inductanc L a (Hnris
New Concepts and Methods in Information Aggregation
Nw Concpts and Mthods in Information Aggrgation János Fodor 1, Imr J. Rudas John von Numann Faculty of Informatics, Budapst Tch Bécsi út 96/B, H-1034 Budapst, Hungary E-mail: {Fodor, Rudas}@bmf.hu Abstract:
SPECIAL VOWEL SOUNDS
SPECIAL VOWEL SOUNDS Plas consult th appropriat supplmnt for th corrsponding computr softwar lsson. Rfr to th 42 Sounds Postr for ach of th Spcial Vowl Sounds. TEACHER INFORMATION: Spcial Vowl Sounds (SVS)
Theoretical approach to algorithm for metrological comparison of two photothermal methods for measuring of the properties of materials
Rvista Invstigación Cintífica, ol. 4, No. 3, Nuva época, sptimbr dicimbr 8, IN 187 8196 Thortical approach to algorithm for mtrological comparison of two photothrmal mthods for masuring of th proprtis
Current and Resistance
Chaptr 6 Currnt and Rsistanc 6.1 Elctric Currnt...6-6.1.1 Currnt Dnsity...6-6. Ohm s Law...6-4 6.3 Elctrical Enrgy and Powr...6-7 6.4 Summary...6-8 6.5 Solvd Problms...6-9 6.5.1 Rsistivity of a Cabl...6-9
STATEMENT OF INSOLVENCY PRACTICE 3.2
STATEMENT OF INSOLVENCY PRACTICE 3.2 COMPANY VOLUNTARY ARRANGEMENTS INTRODUCTION 1 A Company Voluntary Arrangmnt (CVA) is a statutory contract twn a company and its crditors undr which an insolvncy practitionr
Important Information Call Through... 8 Internet Telephony... 6 two PBX systems... 10 Internet Calls... 3 Internet Telephony... 2
Installation and Opration Intrnt Tlphony Adaptr Aurswald Box Indx C I R 884264 03 02/05 Call Duration, maximum...10 Call Through...7 Call Transportation...7 Calls Call Through...7 Intrnt Tlphony...3 two
Online Price Competition within and between Heterogeneous Retailer Groups
Onlin Pric Comptition within and btwn Htrognous Rtailr Groups Cnk Kocas Dpartmnt of Markting and Supply Chain Managmnt, Michigan Stat Univrsity [email protected] Abstract This study prsnts a modl of pric comptition
Planning and Managing Copper Cable Maintenance through Cost- Benefit Modeling
Planning and Managing Coppr Cabl Maintnanc through Cost- Bnfit Modling Jason W. Rup U S WEST Advancd Tchnologis Bouldr Ky Words: Maintnanc, Managmnt Stratgy, Rhabilitation, Cost-bnfit Analysis, Rliability
Developing Software Bug Prediction Models Using Various Software Metrics as the Bug Indicators
Dvloping Softwar Bug Prdiction Modls Using Various Softwar Mtrics as th Bug Indicators Varuna Gupta Rsarch Scholar, Christ Univrsity, Bangalor Dr. N. Ganshan Dirctor, RICM, Bangalor Dr. Tarun K. Singhal
Intermediate Macroeconomic Theory / Macroeconomic Analysis (ECON 3560/5040) Final Exam (Answers)
Intrmdiat Macroconomic Thory / Macroconomic Analysis (ECON 3560/5040) Final Exam (Answrs) Part A (5 points) Stat whthr you think ach of th following qustions is tru (T), fals (F), or uncrtain (U) and brifly
Parallel and Distributed Programming. Performance Metrics
Paralll and Distributd Programming Prformanc! wo main goals to b achivd with th dsign of aralll alications ar:! Prformanc: th caacity to rduc th tim to solv th roblm whn th comuting rsourcs incras;! Scalability:
FACULTY SALARIES FALL 2004. NKU CUPA Data Compared To Published National Data
FACULTY SALARIES FALL 2004 NKU CUPA Data Compard To Publishd National Data May 2005 Fall 2004 NKU Faculty Salaris Compard To Fall 2004 Publishd CUPA Data In th fall 2004 Northrn Kntucky Univrsity was among
Whole Systems Approach to CO 2 Capture, Transport and Storage
Whol Systms Approach to CO 2 Captur, Transport and Storag N. Mac Dowll, A. Alhajaj, N. Elahi, Y. Zhao, N. Samsatli and N. Shah UKCCS Mting, July 14th 2011, Nottingham, UK Ovrviw 1 Introduction 2 3 4 Powr
Expert-Mediated Search
Exprt-Mdiatd Sarch Mnal Chhabra Rnsslar Polytchnic Inst. Dpt. of Computr Scinc Troy, NY, USA [email protected] Sanmay Das Rnsslar Polytchnic Inst. Dpt. of Computr Scinc Troy, NY, USA [email protected] David
Vibrational Spectroscopy
Vibrational Spctroscopy armonic scillator Potntial Enrgy Slction Ruls V( ) = k = R R whr R quilibrium bond lngth Th dipol momnt of a molcul can b pandd as a function of = R R. µ ( ) =µ ( ) + + + + 6 3
Projections - 3D Viewing. Overview Lecture 4. Projection - 3D viewing. Projections. Projections Parallel Perspective
Ovrviw Lctur 4 Projctions - 3D Viwing Projctions Paralll Prspctiv 3D Viw Volum 3D Viwing Transformation Camra Modl - Assignmnt 2 OFF fils 3D mor compl than 2D On mor dimnsion Displa dvic still 2D Analog
Finite Elements from the early beginning to the very end
Finit Elmnts from th arly bginning to th vry nd A(x), E(x) g b(x) h x =. x = L An Introduction to Elasticity and Hat Transfr Applications x Prliminary dition LiU-IEI-S--8/535--SE Bo Torstnflt Contnts
The international Internet site of the geoviticulture MCC system Le site Internet international du système CCM géoviticole
Th intrnational Intrnt sit of th goviticultur MCC systm L sit Intrnt intrnational du systèm CCM géoviticol Flávio BELLO FIALHO 1 and Jorg TONIETTO 1 1 Rsarchr, Embrapa Uva Vinho, Caixa Postal 130, 95700-000
Host Country: Czech Republic Other parties: Denmark Expected ERUs in 2008 2012: ~ 1,250,000 tco 2
Projct CZ1000033: Nitrous Oxid Emission Rductions at Lovochmi Host Country: Czch Rpublic Othr partis: Dnmark Expctd ERUs in 2008 2012: ~ 1,250,000 tco 2 Th projct at Lovochmi in th Czch Rpublic aims to
Lecture notes: 160B revised 9/28/06 Lecture 1: Exchange Rates and the Foreign Exchange Market FT chapter 13
Lctur nots: 160B rvisd 9/28/06 Lctur 1: xchang Rats and th Forign xchang Markt FT chaptr 13 Topics: xchang Rats Forign xchang markt Asst approach to xchang rats Intrst Rat Parity Conditions 1) Dfinitions
An International Journal of the Polish Statistical Association
STATISTICS IN TRANSITION nw sris An Intrnational Journal of th Polish Statistical Association CONTENTS From th Editor... Submission information for authors... 5 Sampling mthods and stimation CIEPIELA P.,
Precise Memory Leak Detection for Java Software Using Container Profiling
Distinguishd Papr Prcis Mmory Lak Dtction for Java Softwar Using Containr Profiling Guoqing Xu Atanas Rountv Dpartmnt of Computr Scinc and Enginring Ohio Stat Univrsity {xug,rountv}@cs.ohio-stat.du ABSTRACT
Meerkats: A Power-Aware, Self-Managing Wireless Camera Network for Wide Area Monitoring
Mrkats: A Powr-Awar, Slf-Managing Wirlss Camra Ntwork for Wid Ara Monitoring C. B. Margi 1, X. Lu 1, G. Zhang 1, G. Stank 2, R. Manduchi 1, K. Obraczka 1 1 Dpartmnt of Computr Enginring, Univrsity of California,
E X C H A N G E R U L E S A N D C L E A R I N G R U L E S O F N A S D A Q O M X D E R I V A T I V E S M A R K E T S
E X C H A N G E R U L E S A N D C L E A R I N G R U L E S O F N A S D A Q O M X D E R I V A T I V E S M A R K E T S Fair Valu 1 Valuation Variabls Tabl 1 blow shows th variabls us in th rspctiv valuation
NUMERICAL COMPUTATION OF THE EFFECTIVENESS-NUMBER OF TRANSFER UNITS FOR SEVERAL CROSS-FLOW HEAT EXCHANGERS WITH DIFFERENT FLOW ARRANGEMENTS
Prodings of COBEM 2009 20th Intrnational Congrss of Mhanial Enginring Novmbr 15-20, 2009, Gramado, RS, Brazil NUMERICAL COMPUTATION OF THE EFFECTIVENESS-NUMBER OF TRANSFER UNITS FOR SEVERAL CROSS-FLOW
Remember you can apply online. It s quick and easy. Go to www.gov.uk/advancedlearningloans. Title. Forename(s) Surname. Sex. Male Date of birth D
24+ Advancd Larning Loan Application form Rmmbr you can apply onlin. It s quick and asy. Go to www.gov.uk/advancdlarningloans About this form Complt this form if: you r studying an ligibl cours at an approvd
Entity-Relationship Model
Entity-Rlationship Modl Kuang-hua Chn Dpartmnt of Library and Information Scinc National Taiwan Univrsity A Company Databas Kps track of a company s mploys, dpartmnts and projcts Aftr th rquirmnts collction
The fitness value of information
Oikos 119: 219230, 2010 doi: 10.1111/j.1600-0706.2009.17781.x, # 2009 Th Authors. Journal compilation # 2009 Oikos Subjct Editor: Knnth Schmidt. Accptd 1 Sptmbr 2009 Th fitnss valu of information Matina
Rural and Remote Broadband Access: Issues and Solutions in Australia
Rural and Rmot Broadband Accss: Issus and Solutions in Australia Dr Tony Warrn Group Managr Rgulatory Stratgy Tlstra Corp Pag 1 Tlstra in confidnc Ovrviw Australia s gographical siz and population dnsity
Efficiency Losses from Overlapping Economic Instruments in European Carbon Emissions Regulation
iscussion Papr No. 06-018 Efficincy Losss from Ovrlapping Economic Instrumnts in Europan Carbon Emissions Rgulation Christoph Böhringr, Hnrik Koschl and Ulf Moslnr iscussion Papr No. 06-018 Efficincy Losss
