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Reweighted complex Langevin and its application to two-dimensional QCD Jacques Bloch∗ 7 1 UniversityofRegensburg 0 E-mail: [email protected] 2 n Johannes Meisinger a UniversityofRegensburg J E-mail: [email protected] 5 Sebastian Schmalzbauer ] t GoetheUniversityofFrankfurt a l E-mail: [email protected] - p e h WepresentthereweightedcomplexLangevinmethod,whichenlargestheapplicabilityrangeof [ thecomplexLangevinmethodbyreweightingthecomplextrajectories. Inthisreweightingpro- 1 cedureboththeauxiliaryandtargetensembleshaveacomplexaction. Wevalidatethemethodby v 8 applyingittotwo-dimensionalstrong-couplingQCDatnonzerochemicalpotential,andobserve 9 that it gives access to parameter regions that could otherwise not be reached with the complex 2 1 Langevinmethod. 0 SupportedbytheDeutscheForschungsgemeinschaft(SFB/TRR-55) . 1 0 7 1 : v i X r a 34thannualInternationalSymposiumonLatticeFieldTheory 24-30July2016 UniversityofSouthampton,UK ∗Speaker. (cid:13)c Copyrightownedbytheauthor(s)underthetermsoftheCreativeCommons Attribution-NonCommercial-NoDerivatives4.0InternationalLicense(CCBY-NC-ND4.0). http://pos.sissa.it/ ReweightedcomplexLangevinanditsapplicationtotwo-dimensionalQCD JacquesBloch 1. Introduction A major obstacle to simulate lattice QCD at nonzero chemical potential is formed by the complex valued determinant of the Dirac operator. This sign problem prohibits the use of impor- tance sampling algorithms to generate relevant configurations and most solutions to circumvent this problem have a computational cost that grows exponentially in the volume and are restricted totheregionofthephasediagramwhereµ/T <1,awayfromthecriticalregion. An alternative which became increasingly popular in recent years is the complex Langevin (CL)method. Althoughtheequationsemployedinthismethodarestraightforwardgeneralizations oftherealLangevinequationsfromrealtocomplexactions,thevalidityofthecomplexifiedequa- tions require a number of conditions to be met. It is important to investigate theories and models with complex actions to deepen our understanding when the complex Langevin method can be usedandtrusted. Recentinvestigationsinheavy-denseQCD[1]andfullQCD[2]showedthatthe method breaks down in the transition region. Problems with the CL method were also uncovered in low-dimensional strong-coupling QCD [3], as the method converges to wrong values for small massesatlargecoupling. InthispresentationweintroduceanovelideawherewecombinetheCLmethodandreweight- ing of complex trajectories to form the reweighted complex Langevin (RCL) method [4]. As we willshowintheresultsontwo-dimensionalQCDthismethodallowsustoreachregionsofparam- eterspacethatarenotsimulatedcorrectlybytheCLmethodalone. 2. ComplexLangevinMethod WefirstbrieflyintroducethecomplexLangevinmethod. Assumeapartitionfunction (cid:90) Z= dxe−S(x), (2.1) with real degrees of freedom x and complex action S(x), where x can be assumed to a multidi- mensionalvectorofvariables. WhenapplyingtheLangevinequationsonasystemwithacomplex actiontherealvariablesareautomaticallydrivenintothecomplexplane,suchthatx→z=x+iy. ThesecomplexvariablessatisfytheCLevolutionequation ∂S z˙(t)=− +η(t). (2.2) ∂z This equation can be solved numerically after proper discretization and the standard stochastic EulerdiscretizationyieldsthediscreteLangevintimeevolution √ z(t+1)=z(t)+εK+ εη, (2.3) with drift K = −∂S/∂z, step size ε and independent Gaussian noise η (chosen real for better convergence)withmean0andvariance2. It is important to understand if and when the fixed point solution of the complex Langevin equation reproduces the correct expectation values of the partition function (2.1). It was shown 1 ReweightedcomplexLangevinanditsapplicationtotwo-dimensionalQCD JacquesBloch that if the action S and the observable O are holomorphic in the complexified variables (up to singularities)thecrucialequivalenceidentity 1(cid:90) (cid:90) (cid:104)O(cid:105)≡ dxe−S(x)O(x)= dxdyP(x+iy)O(x+iy) (2.4) Z holdsiftheprobabilitydensityP(z)ofthecomplexifiedvariableszalongtheCLtrajectoriesissup- pressedclosetosingularitiesofdriftandobservableanddecayssufficientlyrapidlyintheimaginary direction of z [5, 6]. If the CL validity conditions are not satisfied for some parameter values the CL method will fail and produce incorrect results. For QCD this depends on the values of the parametersµ,m,β,seeSec.4. 3. ReweightingthecomplexLangevintrajectories Below we introduce the reweighted complex Langevin (RCL) method [4]. The principle of themethodistogenerateaCLtrajectoryforanauxiliaryensemblewheretheCLmethodisvalid and to reweight this complex trajectory to compute observables in a target ensemble. The aim is toextendtheapplicabilityrangeoftheCLmethodtoparameterregionsforwhichtheCLvalidity conditionsmaynotbesatisfied. Consider a target ensemble with parameters ξ and an auxiliary ensemble with parameters ξ . The general reweighting formula to compute expectation values in the target ensemble using 0 configurationsfromtheauxiliaryensembleisgivenby (cid:104)O(cid:105) = (cid:82) dxw(x;ξ)O(x;ξ) = (cid:82) dxw(x;ξ0)(cid:104)ww((xx;;ξξ0))O(x;ξ)(cid:105) = (cid:68)ww((xx;;ξξ0))O(x;ξ)(cid:69)ξ0. (3.1) ξ (cid:82) dxw(x;ξ) (cid:82) dxw(x;ξ )(cid:104)w(x;ξ)(cid:105) (cid:68)w(x;ξ)(cid:69) 0 w(x;ξ0) w(x;ξ0) ξ0 The peculiarity of our reweighting method is that we consider an auxiliary ensemble at nonzero chemical potential such that the auxiliary weights w(x;ξ ) are complex, whereas these are taken 0 realandpositiveinstandardreweightingprocedures. Thereforewecannotuseimportancesampling to generate relevant configurations in the auxiliary ensemble, but will instead use the CL method togenerateanauxiliarytrajectoryofcomplexvaluedconfigurations. IftheCLmethodisvalidfortheparametersξ ,theCLequivalence(2.4)holdsfortheauxiliary 0 ensemble and can be applied to both (cid:104)···(cid:105) in the reweighting formula (3.1), which yields the ξ0 followingRCLequation: (cid:104) (cid:105) (cid:82) dxdyP(z;ξ ) w(z;ξ)O(z;ξ) (cid:104)O(cid:105) = 0 w(z;ξ0) . (3.2) ξ (cid:82) dxdyP(z;ξ )(cid:104)w(z;ξ)(cid:105) 0 w(z;ξ0) The expectation value (cid:104)O(cid:105) in the target ensemble is thus computed as a ratio of averages, both ξ evaluated along the auxiliary CL trajectory. As the CL method is valid in the auxiliary ensemble, both expectation values in this ratio will be evaluated reliably, independently of the fact if the CL method itself is valid or not in the target ensemble. Indeed, as we will see in the next section, the RCLmethodalsoworkswelliftheCLvalidityconditionsareviolatedinthetargetensemble. Asthisreweightingalongcomplextrajectoriesisanovelidea,itisimportanttoputthemethod atatestandverifythatitworksasexpected. Inthenextsectionweshowresultsintwo-dimensional QCD,butthemethodhasalsobeensuccessfullytestedonrandommatrixmodelsforQCD. 2 ReweightedcomplexLangevinanditsapplicationtotwo-dimensionalQCD JacquesBloch 4. ReweightedcomplexLangevinfor1+1dQCD 4.1 ComplexLangevinforQCD LetusconsiderthepartitionfunctionoflatticeQCD, (cid:34) (cid:35) V d−1(cid:90) Z= ∏∏ dU exp[−S (β)]detD(m;µ), (4.1) x,ν g x=1ν=0 with SU(3) matricesU , Wilson gauge action S (β) and staggered Dirac operator D(m;µ) for a x,ν g quark of massmat chemical potential µ. For nonzero µ the Dirac determinant is complex, so we have a complex action and a potential sign problem. In this case, the CL equations will drive the linksfromSU(3)intoSL(3,C). WhenthecomplextrajectorieswanderofftoofarfromSU(3)the CLmethodbecomesinvalid. Thisproblemisresolvedingaugetheoriesbyapplyinggaugecooling [7],whichkeepsthetrajectoriesascloseaspossibletoSU(3)usingSL(3,C)gaugeinvariance. Although gauge cooling can alter the CL trajectory such that the CL validity conditions are satisfied, there is no guarantee that this can be achieved for all parameter values. This was in- vestigated in detail for strong-coupling QCD in 1+1 dimensions [3] where we showed that, even with gauge cooling, the CL results are only valid in a certain (m,µ) range. At small masses the CLtrajectoriesstillpopulatethesingularityatdetD=0andCLirrecoverablygiveswrongresults. ThesearecasesofinteresttoverifyiftheRCLmethodcanbeusedtorecoverthecorrectresults. 4.2 Reweightinginthemass We first test the CL method by computing the chiral condensate and the number density on a 4×4 lattice in the strong-coupling limit β =0 and choose µ =0.3 as the sign problem is most 2.5 1.8 pq-rew 1.6 CL 2 1.4 RCL - m0=0.4 1.2 1.5 1 4x4 S n 0.8 4x4 1 0.6 0.4 0.5 RCL - m0=0.4 0.2 CL pq-rew 0 0 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 m m 2.5 pq-rew 2 CL 2 RCL - m0=0.3 1.5 1.5 6x6 S n 1 6x6 1 0.5 0.5 RCL - m0=0.3 CL pq-rew 0 0 0 0.05 0.1 0.15 0.2 0.25 0.3 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 m m Figure1: Chiralcondensate(left)andnumberdensity(right)versusmassatµ =0.3fora4×4lattice(top row)anda6×6lattice(bottomrow): dataforCL(bluepoints)versusRCL(redpoints). Thegreybandare benchmarkresultscomputedwithstandardphase-quenchedreweighting. 3 ReweightedcomplexLangevinanditsapplicationtotwo-dimensionalQCD JacquesBloch pronounced around this value. Even though the sign problem is still mild on such a small lattice, the results of gauge cooled CL are wrong for small masses (m(cid:46)0.2), as is illustrated by the blue pointsinthetoprowofFig.1,duetothesingulardriftproblem. Thebenchmarkresults(greyband) were computed with phase-quenched reweighting simulations. We apply the RCL equation (3.2) usinganauxiliaryCLtrajectorygeneratedatmassm =0.4forthesame µ andcomputetheRCL 0 resultsfortherangem∈[0,0.4]. Theresultsaregivenbytheredpointsinthefigure. ClearlyRCL inmassworksoverthecompletemassrangeonthislatticesize,eveninthestrongcouplinglimit. NextwetestedtheRCLmethodona6×6latticeatβ =0, againfor µ =0.3wherethesign problem is strongest. The results are shown in the bottom row of Fig. 1. Again, gauge cooled CL (blue points) is wrong for small masses (m(cid:46)0.2). The RCL method uses an auxiliary trajectory generatedatm =0.4and µ =µ tocomputetheresultsform∈[0,0.4]. Onthissomewhatlarger 0 0 latticetheoverlapandsignproblemsbecomevisiblethroughlargererrorbars,butnevertheless,the RCLmethoddoesworkdowntoverysmallmasses. 4.3 Reweightinginthechemicalpotential ClearlywecanusetheRCLmethodtoreweightinanyrelevantparameterandwehereinves- tigate the reweighting in the chemical potential µ. In Fig. 2 we show the strong-coupling (β =0) results for small mass m=0.1 on 4×4 (top) and 6×6 (bottom) lattices as a function of µ. We see that for such small masses the gauge cooled CL method fails to reproduce the correct results. TheRCLresultsarecomputedusinganauxiliaryCLtrajectorygeneratedatµ =0.8forthe4×4 0 latticeandat µ =0.6forthe6×6lattice. InallcasestheRCLresultsagreewiththebenchmark 0 over the complete µ range within the error bars. The increasing errors for the 6×6 lattice in the 2.5 pq-rew 3 CL 2 RCL - m0=0.8 2.5 2 4x4 1.5 S n 1.5 1 4x4 1 0.5 0.5 pq-rew CL 0 0 RCL - m0=0.8 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 m m 2.5 pq-rew 3 CL 2 RCL - m0=0.6 2.5 2 6x6 1.5 S n 1.5 1 6x6 1 0.5 0.5 pq-rew CL 0 0 RCL - m0=0.6 0 0.1 0.2 0.3 0.4 0.5 0.6 0 0.1 0.2 0.3 0.4 0.5 0.6 m m Figure2: Chiralcondensate(left)andquarknumber(right)form=0.1on4×4(top)and6×6(bottom) lattices versus chemical potential µ. Results for CL (blue points) and RCL (red points). The grey band benchmarkiscomputedusingphase-quenchedreweighting. 4 ReweightedcomplexLangevinanditsapplicationtotwo-dimensionalQCD JacquesBloch critical region point to an increasing sign problem. It is however surprising that RCL works well for small µ, i.e., far from the auxiliary value, meaning that there is no serious overlap problem in thiscase. Whenperformingthisreweightinginµ forevensmallermassesthereweightingmethod willstarttobreakdownasthesignproblembecomesstronger. 4.4 Reweightinginthecoupling EventhoughRCLinµ andmcouldjustaswellhavebeenperformedatnonzeroβ,awayfrom thestrongcouplinglimit,wechosetoworkatβ =0asthispushestheCLmethodtoitslimits. AsalasttestweuseRCLtoperformreweightinginβ. ItisknownthattheCLmethodisvalid forlargeβ butbreaksdownforlowervalues. Simulationsatsuchβ valuesarehoweverneededto reach the critical region in current lattice simulations. It would therefore be helpful if RCL could beappliedtovalidCLtrajectoriesgeneratedatlargeβ toreachlowerβ values. Fig.3showstheresultsforµ =0.3andm=0.1ona4×4lattice. TheCLmethodonlyworks correctlyforlargeβ >6,soweinvestigateifRCLallowsustoreachlowerβ values. Unfortunately, therangeofapplicationofRCLinβ seemsquiterestricted: startingfromanauxiliarytrajectoryat β =10RCLworksdowntoβ ≈8.5andfromβ =8itworksdowntoβ ≈6.5. InbothcasesRCL 0 0 doesnotperformbetterthantheoriginalCL.Thisisduetotheextremelysharpprobabilitydensity of the gauge action, where β is a multiplicative factor in the exponential. Even tiny changes in β stronglyaffectthegaugeweightandreweightingisinefficient. 1.8 1.6 m=0.1 1.4 1.2 S 1 0.8 0.6 RRCCLL -- bb00==180 CL pq-rew 0.4 0 2 4 6 8 10 b Figure3:Chiralcondensateversusβ ona4×4latticeforµ=0.3andm=0.1.ResultsforCL(bluepoints) versusRCL(redandpurplepoints). 5. Someadditionalremarks Although RCL works correctly to reweight from one set of parameters to another, it suffers fromtheusualoverlapandsignproblems. Apossibleadvantageoverotherreweightingprocedures (phase-quenched, Glasgow and quenched reweightings) is that the auxiliary ensemble at µ (cid:54)= 0 couldbeclosertothetargetensemble,thusincreasingtheoverlapbetweenthetargetandauxiliary ensembles. InGlasgowreweightingtheauxiliaryensembleistakenatµ =0. Clearly,reweighting 0 fromµ (cid:54)=0usingRCLstartsfromanauxiliaryensemblethatisclosertothetargetensemble. 0 Inphase-quenchedreweightingtheauxiliaryensembleusesthemagnitudeofthefermionde- terminant as sampling weights. The auxiliary and target ensembles are in different phases when µ >m /2 and there is therefore little overlap between the relevant configurations in both ensem- π bles. InRCL,however,theauxiliaryandtargetensemblesarebothtakeninfullQCDandhencethis 5 ReweightedcomplexLangevinanditsapplicationtotwo-dimensionalQCD JacquesBloch problemcouldbealleviated. Moreover,RCLusesasingleCLtrajectorytoreweighttoarangeof target parameter values, whereas phase-quenched reweighting typically constructs a new Markov chainforeachnewparametervalue. 6. Summaryandoutlook For many theories with a complex action the complex Langevin method works correctly for some range of parameters, but fails for other parameter values when the validity conditions are violated. InthistalkwehavepresentedthereweightedcomplexLangevinmethod,whichcombines complex Langevin and reweighting to compute observables in a target ensemble using complex trajectoriesgeneratedforanauxiliaryensembleforwhichtheCLvalidityconditionsaremet. AsaproofofprincipleweappliedRCLonQCDin1+1dimensionusingreweightinginm, µ andβ atµ (cid:54)=0andverifiedthattheRCLprocedureworkscorrectly. WeobservedthatRCLworks best when reweighting in the mass, while reweighting in µ works well as long as the mass is not toosmall. Reweightinginβ hardlyworksasthegaugeprobabilityisnarrowandverysensitiveto β. Clearly,themethodcouldbefurtheroptimizedbymakingamultiparameterRCLinµ,m,β [8]. Asthemethodsuffersfromtheusualoverlapandsignproblems,itsefficacyshouldbeinvestigated further. Asanoutlookforfutureworkwecanpinpointacoupleofavenues. Oneinterestingapplication would be to test RCL on full four-dimensional QCD where it was shown that CL breaks down in thecriticalregion. Asmassreweightingworksbestthestrategycouldbetochooseahighenough m to get a valid CL trajectory for a particular (µ,β) and then reweight in m to get down to the physicalmassregion. Alternativelyonecouldfollowalineinthe(m,µ)-planekeepingβ fixed. Clearly, one still has to learn how to reweight most efficiently with the RCL method. A useful exercise would be to make a validity map of the CL method in the (m,µ,β)-space for two-dimensionalQCDanddevisethebestreweightingpathtocoverallparametervalues. NotethatRCLopensanewavenueasreweightinginthechemicalpotentialcanbeextendedto interpolateratherthenjustextrapolateifweuseauxiliaryensemblesat µ valuesaboveandbelow 0 thecriticalregion,whichcouldimprovethequalityoftheresults. References [1] D.Sexty,Phys.Lett.B729(2014)108[arXiv:1307.7748]. [2] Z.Fodor,S.D.Katz,D.Sexty,andC.Török,Phys.Rev.D92(2015)094516[arXiv:1508.05260]. [3] J.Bloch,J.Mahr,andS.Schmalzbauer,PoSLATTICE2015(2016)158[arXiv:1508.05252]. [4] J.Bloch,arXiv:1701.00986. [5] G.Aarts,F.A.James,E.Seiler,andI.-O.Stamatescu,Eur.Phys.J.C71(2011)1756 [arXiv:1101.3270]. [6] K.Nagata,J.Nishimura,andS.Shimasaki,Phys.Rev.D94(2016)114515[arXiv:1606.07627]. [7] E.Seiler,D.Sexty,andI.-O.Stamatescu,Phys.Lett.B723(2013)213[arXiv:1211.3709]. [8] Z.FodorandS.Katz,Phys.Lett.B534(2002)87[hep-lat/0104001]. 6

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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.