DOCSLIB.ORG

Logarithmic Extensions of Local Scale-Invariance

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Logarithmic Extensions of Local Scale-Invariance Logarithmic extensions of local scale-invariance Malte Henkel Groupe de Physique Statistique D´epartement de Physique de la Mati`ereet des de Mat´eriaux Institut Jean Lamour CNRS { Nancy - Universit´e,France J.D. Noh (KIAS & University of S´eoul- Cor´ee) M. Pleimling (Virginia Tech - E.U.A)´ arxiv:1009.4139, arxiv:1109.5022 Atelier: Logarithmic CFT and representation theory, Programme `Advanced conformal field-theory and application', Institut Henri Poincar´e,Paris, octobre 2011 Overview : 1. Critical phenomena 2. Ageing phenomena 3. Critical contact process (dp universality class) 4. Surface growth (kpz universality class) 5. Form of the scaling functions & lsi 6. Logarithmic conformal invariance 7. Logarithmic ageing invariance 8. Numerical experiments (dp and kpz classes in 1D) 9. Conclusions 1. Critical phenomena Equilibrium critical phenomena : scale-invariance For sufficiently local interactions : extend to conformal invariance space-dependent re-scaling (angles conserved) r 7! r=b(r) Bateman & Cunningham 1909/10, Polyakov 70 In two dimensions : 1 many conformal transformations (w 7! f (w) analytic) ) exact predictions for critical exponents, correlators, . BPZ 84 What about time-dependent critical phenomena ? Cardy 85 Characterised by dynamical exponent z : t 7! tb−z , r 7! rb−1 Can one extend to local dynamical scaling, with z 6= 1? If z = 2, the Schr¨odingergroup is an example : Jacobi 1842, Lie 1881 αt + β Dr + vt + a t 7! ; r 7! ; αδ − βγ = 1 γt + δ γt + δ ) study ageing phenomena as paradigmatic example 2. Ageing phenomena known & practically used since prehistoric times (metals, glasses) systematically studied in physics since the 1970s Struik '78 occur in widely different systems (structural glasses, spin glasses, polymers, simple magnets, . ) Three defining properties of ageing : 1 slow relaxation (non-exponential !) 2 no time-translation-invariance (tti) 3 dynamical scaling without fine-tuning of parameters Most existing studies on `magnets' : relaxation towards equilibrium Question : what can be learned about intrisically irreversible systems by studying their ageing behaviour? t = t1 t = t2 > t1 magnet T < Tc −! ordered cluster magnet T = Tc −! correlated cluster critical contact process =) cluster dilution voter model, contact process,. common feature : growing length scale L(t) ∼ t1=z z : dynamical exponent Two-time observables time-dependent order-parameter φ(t; r) two-time correlator C(t; s) := hφ(t; r)φ(s; r)i − hφ(t; r)i hφ(s; r)i δ hφ(t; r)i D E two-time response R(t; s) := = φ(t; r)φe(s; r) δh(s; r) h=0 t : observation time, s : waiting time Scaling regime : t; s τmicro and t − s τmicro t t C(t; s) = s−bf ; R(t; s) = s−1−af C s R s −λ =z −λ =z asymptotics (for y 1) : fC (y) ∼ y C , fR (y) ∼ y R λC : autocorrelation exponent, λR : autoresponse exponent, z : dynamical exponent, a; b : ageing exponents 3. Critical contact process (directed percolation) p 1 (a) contact process : A −! 2A, A −! ; + diffusion Harris 74 (b) percolation problem with preferred( k) direction Broadbent & Hammersley 57 (c) Reggeon field theory Cardy & Sugar 80 absorbing (= non-equilibrium) stationary state β −β/ν particle density: stat. a1 = hAi ∼ (p − pc) ; critical a(t) ∼ t k −νk −ν? relaxation time τ = ξk ∼ jp − pcj ; correlation length ξ? ∼ jp − pcj dynamical exponent z = νk/ν? Effective action at criticality Janssen, de Dominicis 70s-80s Z h 2 i J [φ,e φ] = dtdr φe D@t φ − r φ − κφe φe − φ φ rapidity-reversal symmetry : J is invariant under Grassberger 79, Janssen 81 t 7! −t ; φ(t; r) 7! −φe(−t; r) ; φe(t; r) 7! −φ(−t; r) active (ordered) phase : limt!1 a(t) = ρ1 > 0 absorbing (disordered) phase : limt!1 a(t) = 0 long-time behaviour in the active phase of the 1D contact process 8 9 < fast relaxation = contrast to magnets : no scaling in active phase : time-translation-inv. ; reason : single non-critical stationary state Enss, mh, Picone, Schollwock¨ 04 ageing and scaling for C(t; s): critical contact process main figures : 1D, insets : 2D Ramasco, mh, Santos, da Silva Santos 04 ; Enss et al. 04 8 < slow dynamics observe all 3 properties of ageing : no tti : dynamical scaling contrast to critical magnets : a 6= b =) no finite FDR ! autocorrelation exponent : λC = d + z + β/ν? Calabrese, Gambassi, Krzakala 06/07, Baumann & Gambassi 07 numerical values of some non-equilibrium exponents contact process (cp) A ! 2A; A !;, parity-conserved model (pc) A $ 3A; 2A !;, diffusion-coagulation (dc)2 A ! A d a b λC =z λR =z cp 1 −0:68(5) 0:32(5) 1:85(10) 1:85(10) tmrg [1] −0:57(10) 0:3189 1:9(1) 1:9(1) mc [2] −0:6810 1:76(5) mc [3] −0:6810 0:3189 1:7921 1:7921 scal [5] 2 0.3(1) 0:901(2) 2:8(3) 2:75(10) mc [2] −0:198(2) 0:901(2) 2:58(2) 2:58(2) scal [5] 0:9(1) 2:5(1) exp [6] > 4 d=2 − 1 d=2 d=2 + 2 mf [2] pc 1 −0:430(4) 0:570(4) 1:9(1) 1:9(2) mc [4] −0:430(4) 0:570(4) 1:86(1) 1:86(1) scal dc 1 −1=2 1 2 2 exact [7] [1] Enss et. al. 04 ; [2] Ramasco et. al. 04 ; [3] Hinrichsen 06 ; [4] Odor´ 06 ; [5] Baumann & Gambassi 07 ; [6] Takeuchi et. al. 09 ; [7] Durang, Fortin, mh 11 in the contact process 1+ a = b : (= rapidity-reversal symmetry of stationary state of cp ) specific property ! why does 1 + a = b also hold in the pc class ? =) try new form of FDR ! Enss et. al. 04 ; Baumann & Gambassi 07 R(t; s) fR (t=s) Ξ(t; s) := = ; Ξ1 := lim lim Ξ(t; s) C(t; s) fC (t=s) s!1 t!1 1 universal function, Ξ 6= 0 measures distance to stationary state in d = 4 − " dimensions, from an one-loop calculation B & G 07 119 π2 Ξ = 2 1 − " − + O("2) 1 480 120 quantitatively consistent with tmrg estimateΞ 1 = 1:15(5) in 1D. NB : 1 + a = b invalid in other non-equilibrium universality classes ) need different forms of fdr ! Baumann et. al. 05 ; Durang & mh 09, Durang et al. 11 4. Surface growth deposition (evaporation) of particles on a surface ! height profile h(t; r) generic situation : RSOS (restricted solid-on-solid) model Kim & Kosterlitz 89 p = deposition prob. 1 − p = evap. prob. here p = 0:98 some universality classes : 2 µ 2 (a) KPZ @t h = νr h + 2 (rh) + η Kardar,Parisi,Zhang 86 2 (b)EW @t h = νr h + η Edwards,Wilkinson 82 4 (c)MH @t h = −νr h + η Mullins,Herring 63 ; Wolf & Villain 80 η is a gaussian white noise with hη(t; r)η(t0; r0)i = 2νT δ(t − t0)δ(r − r0) d −d P Family-Viscek scaling on a spatial lattice of extent L : h(t) = L j hj (t) Ld 1 X D 2E L2ζ ; if tL−z 1 w 2(t; L) = h (t) − h(t) = L2ζ f tL−z ∼ Ld j t2β ; if tL−z 1 j=1 β : growth exponent, ζ : roughness exponent, ζ = βz two-time correlator : t r C(t; s; r) = hh(t; r)h(s; 0)i − h(t) h(s) = s−bF ; C s s1=z with ageing exponent : b = −2β Kallabis & Krug 96 two-time integrated response : * sample A with deposition rates pi = p ± i , up to time s, * sample B with pi = p up to time s ; then switch to common dynamics pi = p for all times t > s Z s L *h(A) (t; s) − h(B) (t)+ z 1 X j+r j+r −a t jrj χ(t; s; r) = du R(t; u; r) = = s Fχ ; L j s s 0 j=1 Effective action of the KPZ equation : Z h 2 µ 2 2i J [φ, φe] = dtdr φe @t φ − νr φ − (rφ) − νT φe 2 =) Very special properties of KPZ in d = 1 spatial dimension ! Exact critical exponents β = 1=3, ζ = 1=2, z = 3=2, λC = 1 kpz 86 ; Krech 97 @φ @ v Special KPZ symmetry in1 D : let v = @r , φe = @r ep + 2T Z h ν µ i J = dtdr p@ v − (@ v)2 − v 2@ p + νT (@ p)2 e t 4T r 2 r e r e is invariant under time-reversal Lvov, Lebedev, Paton, Procaccia 93 ; Frey, Tauber,¨ Hwa 96 t 7! −t ; v(t; r) 7! −v(−t; r) ; ep 7! +ep(−t; r) 2 ) fluctuation-dissipation relation for t sTR (t; s; r) = −@r C(t; s; r) 2 find ageing exponents : λR = λC = 1,1+ a = b + z 1D relaxation dynamics, starting from an initially flat interface 8 < slow dynamics observe all 3 properties of ageing : no tti : dynamical scaling confirm expected exponents b = −2=3, λC =z = 2=3 N.B. : this confirmation is out of the stationary state Kallabis & Krug 96 ; Krech 97 ; Bustingorry et al. 07-10 ; Chou & Pleimling 10 ; D'Aquila & Tauber¨ 11 relaxation of the integrated response,1D 8 < slow dynamics observe all 3 properties of ageing : no tti : dynamical scaling exponents a = −1=3, λR =z = 2=3, as expected from FDR N.B. : numerical tests for 2 models in KPZ class Simple ageing is also seen in space-time observables 2=3 t r 3=2 correlator C(t; s; r) = s FC s ; s 1=3 t r 3=2 integrated response χ(t; s; r) = s Fχ s ; s confirm expected value of dynamical exponent z = 3=2 Values of some growth and ageing exponents in 1D model z a b λR = λC β ζ KPZ 3=2 −1=3 −2=3 1 1=3 1=2 exp 0:336(11) 0:50(5) EW 2 −1=2 −1=2 1 1=4 1=2 MH 4 −3=4 −3=4 1 3=8 3=2 Takeuchi, Sano, Sasamoto, Spohn 10/11 Two-time space-time responses and correlators consistent with simple ageing for 1D KPZ Similar results known for EW and MH universality classes Roethlein, Baumann, Pleimling 06 5.
Load more

Recommended publications
  • Characterization of a Subclass of Tweedie Distributions by a Property
    Characterization of a subclass of Tweedie distributions by a property of generalized stability Lev B. Klebanov ∗, Grigory Temnov † December 21, 2017 Abstract We introduce a class of distributions originating from an exponential family and having a property related to the strict stability property. Specifically, for two densities pθ and p linked by the relation θx pθ(x)= e c(θ)p(x), we assume that their characteristic functions fθ and f satisfy α(θ) fθ(t)= f (β(θ)t) t R, θ [a,b] , with a and b s.t. a 0 b . ∀ ∈ ∈ ≤ ≤ A characteristic function representation for this family is obtained and its properties are investigated. The proposed class relates to stable distributions and includes Inverse Gaussian distribution and Levy distribution as special cases. Due to its origin, the proposed distribution has a sufficient statistic. Besides, it combines stability property at lower scales with an exponential decay of the distri- bution’s tail and has an additional flexibility due to the convenient parametrization. Apart from the basic model, certain generalizations are considered, including the one related to geometric stable distributions. Key Words: Natural exponential families, stability-under-addition, characteristic func- tions. 1 Introduction Random variables with the property of stability-under-addition (usually called just stabil- ity) are of particular importance in applied probability theory and statistics. The signifi- arXiv:1006.2070v1 [stat.ME] 10 Jun 2010 cance of stable laws and related distributions is due to their major role in the Central limit problem and their link with applied stochastic models used in e.g. physics and financial mathematics.
    [Show full text]
  • Notes on Statistical Field Theory
    Lecture Notes on Statistical Field Theory Kevin Zhou [email protected] These notes cover statistical field theory and the renormalization group. The primary sources were: • Kardar, Statistical Physics of Fields. A concise and logically tight presentation of the subject, with good problems. Possibly a bit too terse unless paired with the 8.334 video lectures. • David Tong's Statistical Field Theory lecture notes. A readable, easygoing introduction covering the core material of Kardar's book, written to seamlessly pair with a standard course in quantum field theory. • Goldenfeld, Lectures on Phase Transitions and the Renormalization Group. Covers similar material to Kardar's book with a conversational tone, focusing on the conceptual basis for phase transitions and motivation for the renormalization group. The notes are structured around the MIT course based on Kardar's textbook, and were revised to include material from Part III Statistical Field Theory as lectured in 2017. Sections containing this additional material are marked with stars. The most recent version is here; please report any errors found to [email protected]. 2 Contents Contents 1 Introduction 3 1.1 Phonons...........................................3 1.2 Phase Transitions......................................6 1.3 Critical Behavior......................................8 2 Landau Theory 12 2.1 Landau{Ginzburg Hamiltonian.............................. 12 2.2 Mean Field Theory..................................... 13 2.3 Symmetry Breaking.................................... 16 3 Fluctuations 19 3.1 Scattering and Fluctuations................................ 19 3.2 Position Space Fluctuations................................ 20 3.3 Saddle Point Fluctuations................................. 23 3.4 ∗ Path Integral Methods.................................. 24 4 The Scaling Hypothesis 29 4.1 The Homogeneity Assumption............................... 29 4.2 Correlation Lengths.................................... 30 4.3 Renormalization Group (Conceptual)..........................
    [Show full text]
  • Scale Transformations of Fields and Correlation Functions
    H. Kleinert and V. Schulte-Frohlinde, Critical Properties of φ4-Theories August 28, 2011 ( /home/kleinert/kleinert/books/kleischu/scaleinv.tex) 7 Scale Transformations of Fields and Correlation Functions We now turn to the properties of φ4-field theories which form the mathematical basis of the phenomena observed in second-order phase transitions. These phenomena are a consequence of a nontrivial behavior of fields and correlation functions under scale transformations, to be discussed in this chapter. 7.1 Free Massless Fields Consider first a free massless scalar field theory, with an energy functional in D-dimensions: D 1 2 E0[φ]= d x [∂φ(x)] , (7.1) Z 2 This is invariant under scale transformations, which change the coordinates by a scale factor x → x′ = eαx, (7.2) and transform the fields simultaneously as follows: ′ 0 dφα α φ(x) → φα(x)= e φ(e x). (7.3) 0 From the point of view of representation theory of Lie groups, the prefactor dφ of the parameter α plays the role of a generator of the scale transformations on the field φ. Its value is D d0 = − 1. (7.4) φ 2 Under the scale transformations (7.2) and (7.3), the energy (7.1) is invariant: ′ 1 ′ 0 1 ′ 1 ′ ′ D 2 D 2dφ α α 2 D 2 E0[φα]= d x [∂φα(x)] = d x e [∂φ(e x)] = d x [∂ φ(x )] = E0[φ]. (7.5) Z 2 Z 2 Z 2 0 The number dφ is called the field dimension of the free field φ(x).
    [Show full text]
  • Discrete Scale Invariance and Its Logarithmic Extension
    Nuclear Physics B 655 [FS] (2003) 342–352 www.elsevier.com/locate/npe Discrete scale invariance and its logarithmic extension N. Abed-Pour a, A. Aghamohammadi b,d,M.Khorramic,d, M. Reza Rahimi Tabar d,e,f,1 a Department of Physics, IUST, P.O. Box 16844, Tehran, Iran b Department of Physics, Alzahra University, Tehran 19834, Iran c Institute for Advanced Studies in Basic Sciences, P.O. Box 159, Zanjan 45195, Iran d Institute for Applied Physics, P.O. Box 5878, Tehran 15875, Iran e CNRS UMR 6529, Observatoire de la Côte d’Azur, BP 4229, 06304 Nice cedex 4, France f Department of Physics, Sharif University of Technology, P.O. Box 9161, Tehran 11365, Iran Received 28 August 2002; received in revised form 27 January 2003; accepted 4 February 2003 Abstract It is known that discrete scale invariance leads to log-periodic corrections to scaling. We investigate the correlations of a system with discrete scale symmetry, discuss in detail possible extension of this symmetry such as translation and inversion, and find general forms for correlation functions. 2003 Published by Elsevier Science B.V. PACS: 11.10.-z; 11.25.Hf 1. Introduction Log-periodicity is a signature of discrete scale invariance (DSI) [1]. DSI is a symmetry weaker than (continuous) scale invariance. This latter symmetry manifests itself as the invariance of a correlator O(x) as a function of the control parameter x, under the scaling x → eµx for arbitrary µ. This means, there exists a number f(µ)such that O(x) = f(µ)O eµx .
    [Show full text]
  • A Higher Derivative Fermion Model
    Alma Mater Studiorum · Universita` di Bologna Scuola di Scienze Dipartimento di Fisica e Astronomia Corso di Laurea Magistrale in Fisica A higher derivative fermion model Relatore: Presentata da: Prof. Fiorenzo Bastianelli Riccardo Reho Anno Accademico 2018/2019 Sommario Nel presente elaborato studiamo un modello fermionico libero ed invariante di scala con derivate di ordine elevato. In particolare, controlliamo che la simmetria di scala sia estendibile all'intero gruppo conforme. Essendoci derivate di ordine pi`ualto il modello non `eunitario, ma costituisce un nuovo esempio di teoria conforme libera. Nelle prime sezioni riguardiamo la teoria generale del bosone libero, partendo dapprima con modelli semplici con derivate di ordine basso, per poi estenderci a dimensioni arbitrarie e derivate pi`ualte. In questo modo illustriamo la tecnica che ci permette di ottenere un modello conforme da un modello invariante di scala, attraverso l'accoppiamento con la gravit`ae richiedendo l'ulteriore invarianza di Weyl. Se questo `e possibile, il modello originale ammette certamente l'intera simmetria conforme, che emerge come generata dai vettori di Killing conformi. Nel modello scalare l'accoppiamento con la gravit`a necessita di nuovi termini nell'azione, indispensabili affinch`ela teoria sia appunto invariante di Weyl. La costruzione di questi nuovi termini viene ripetuta per un particolare modello fermionico, con azione contenente l'operatore di Dirac al cubo (r= 3), per il quale dimostriamo l'invarianza conforme. Tale modello descrive equazioni del moto con derivate al terzo ordine. Dal momento che l'invarianza di Weyl garantisce anche l'invarianza conforme, ci si aspetta che il tensore energia-impulso corrispondente sia a traccia nulla.
    [Show full text]
  • Arxiv:1901.04741V2 [Hep-Th] 15 Feb 2019 2
    Quantum scale symmetry C. Wetterich [email protected] Universität Heidelberg, Institut für Theoretische Physik, Philosophenweg 16, D-69120 Heidelberg Quantum scale symmetry is the realization of scale invariance in a quantum field theory. No parameters with dimension of length or mass are present in the quantum effective action. Quantum scale symmetry is generated by quantum fluctuations via the presence of fixed points for running couplings. As for any global symmetry, the ground state or cosmological state may be scale invariant or not. Spontaneous breaking of scale symmetry leads to massive particles and predicts a massless Goldstone boson. A massless particle spectrum follows from scale symmetry of the effective action only if the ground state is scale symmetric. Approximate scale symmetry close to a fixed point leads to important predictions for observations in various areas of fundamental physics. We review consequences of scale symmetry for particle physics, quantum gravity and cosmology. For particle physics, scale symmetry is closely linked to the tiny ratio between the Fermi scale of weak interactions and the Planck scale for gravity. For quantum gravity, scale symmetry is associated to the ultraviolet fixed point which allows for a non-perturbatively renormalizable quantum field theory for all known interactions. The interplay between gravity and particle physics at this fixed point permits to predict couplings of the standard model or other “effective low energy models” for momenta below the Planck mass. In particular, quantum gravity determines the ratio of Higgs boson mass and top quark mass. In cosmology, approximate scale symmetry explains the almost scale-invariant primordial fluctuation spectrum which is at the origin of all structures in the universe.
    [Show full text]
  • A Model of Interval Timing by Neural Integration
    9238 • The Journal of Neuroscience, June 22, 2011 • 31(25):9238–9253 Behavioral/Systems/Cognitive A Model of Interval Timing by Neural Integration Patrick Simen, Fuat Balci, Laura deSouza, Jonathan D. Cohen, and Philip Holmes Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey 08544 We show that simple assumptions about neural processing lead to a model of interval timing as a temporal integration process, in which a noisy firing-rate representation of time rises linearly on average toward a response threshold over the course of an interval. Our assumptions include: that neural spike trains are approximately independent Poisson processes, that correlations among them can be largely cancelled by balancing excitation and inhibition, that neural populations can act as integrators, and that the objective of timed behaviorismaximalaccuracyandminimalvariance.Themodelaccountsforavarietyofphysiologicalandbehavioralfindingsinrodents, monkeys, and humans, including ramping firing rates between the onset of reward-predicting cues and the receipt of delayed rewards, and universally scale-invariant response time distributions in interval timing tasks. It furthermore makes specific, well-supported predictions about the skewness of these distributions, a feature of timing data that is usually ignored. The model also incorporates a rapid (potentially one-shot) duration-learning procedure. Human behavioral data support the learning rule’s predictions regarding learning speed in sequences of timed responses. These results suggest that simple, integration-based models should play as prominent a role in interval timing theory as they do in theories of perceptual decision making, and that a common neural mechanism may underlie both types of behavior. Introduction the ramp rate, is tuned so that integrator activity hits a fixed Diffusion models can approximate neural population activity threshold level at the right time.
    [Show full text]
  • Statistical Field Theory University of Cambridge Part III Mathematical Tripos
    Preprint typeset in JHEP style - HYPER VERSION Michaelmas Term, 2017 Statistical Field Theory University of Cambridge Part III Mathematical Tripos David Tong Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, Wilberforce Road, Cambridge, CB3 OBA, UK http://www.damtp.cam.ac.uk/user/tong/sft.html [email protected] { 1 { Recommended Books and Resources There are a large number of books which cover the material in these lectures, although often from very different perspectives. They have titles like \Critical Phenomena", \Phase Transitions", \Renormalisation Group" or, less helpfully, \Advanced Statistical Mechanics". Here are some that I particularly like • Nigel Goldenfeld, Phase Transitions and the Renormalization Group A great book, covering the basic material that we'll need and delving deeper in places. • Mehran Kardar, Statistical Physics of Fields The second of two volumes on statistical mechanics. It cuts a concise path through the subject, at the expense of being a little telegraphic in places. It is based on lecture notes which you can find on the web; a link is given on the course website. • John Cardy, Scaling and Renormalisation in Statistical Physics A beautiful little book from one of the masters of conformal field theory. It covers the material from a slightly different perspective than these lectures, with more focus on renormalisation in real space. • Chaikin and Lubensky, Principles of Condensed Matter Physics • Shankar, Quantum Field Theory and Condensed Matter Both of these are more all-round condensed matter books, but with substantial sections on critical phenomena and the renormalisation group. Chaikin and Lubensky is more traditional, and packed full of content.
    [Show full text]
  • Scale Invariance and Conformal Invariance in Quantum Field Theory
    Motivations Scale and conformal invariance Weyl consistency conditions Discussion and conclusion Scale Invariance and Conformal Invariance in Quantum Field Theory Jean-Fran¸coisFortin D´epartement de Physique, de G´eniePhysique et d'Optique Universit´eLaval, Qu´ebec, QC G1V 0A6, Canada June 15-June 19, 2015 2015 CAP Congress mostly based on arXiv:1208.3674 [hep-th] with Benjam´ınGrinstein and Andreas Stergiou Motivations Scale and conformal invariance Weyl consistency conditions Discussion and conclusion The big picture Theory space Renormalization group (RG) flow Quantum field theory (QFT) Scale field theory (SFT) fixed point limit cycle Conformal field theory (CFT) Weyl consistency conditions fixed point c-theorem gradient flow fixed point Motivations Scale and conformal invariance Weyl consistency conditions Discussion and conclusion Why is it interesting ? QFT phases Infrared (IR) free - With mass gap ) Exponentially-decaying correlation functions (e.g. Higgs phase) - Without mass gap ) Trivial power-law correlation functions (e.g. Abelian Coulomb phase) IR interacting - CFTs ) Power-law correlation functions (e.g. non-Abelian Coulomb phase) - SFTs ) ? Possible types of RG flows Strong coupling Weak coupling - Fixed points (e.g. Banks-Zaks fixed point Banks, Zaks (1982)) - Recurrent behaviors (e.g. limit cycles or ergodic behaviors) Motivations Scale and conformal invariance Weyl consistency conditions Discussion and conclusion Outline 1 Motivations 2 Scale and conformal invariance Preliminaries Scale invariance and recurrent behaviors 3 Weyl
    [Show full text]
  • A Mathematical Basis for Taylor's Power Law, 1/F Noise, and Multifractalit
    University of Southern Denmark Tweedie convergence: a mathematical basis for Taylor’s power law, 1/f noise, and multifractality Kendal, Wayne S.; Jørgensen, Bent Published in: Physical Review E DOI: 10.1103/PhysRevE.84.066120 Publication date: 2011 Document version: Submitted manuscript Citation for pulished version (APA): Kendal, W. S., & Jørgensen, B. (2011). Tweedie convergence: a mathematical basis for Taylor’s power law, 1/f noise, and multifractality. Physical Review E, 84(6), 066120-1-066120-10. https://doi.org/10.1103/PhysRevE.84.066120 Go to publication entry in University of Southern Denmark's Research Portal Terms of use This work is brought to you by the University of Southern Denmark. Unless otherwise specified it has been shared according to the terms for self-archiving. If no other license is stated, these terms apply: • You may download this work for personal use only. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying this open access version If you believe that this document breaches copyright please contact us providing details and we will investigate your claim. Please direct all enquiries to [email protected] Download date: 26. Sep. 2021 PHYSICAL REVIEW E 84, 066120 (2011) Tweedie convergence: A mathematical basis for Taylor’s power law, 1/ f noise, and multifractality Wayne S. Kendal1,* and Bent Jørgensen2,† 1Division of Radiation Oncology, University of Ottawa, 501 Smyth Road, Ottawa, Ontario, Canada K1H 8L6 2Department of Mathematics and Computer Science, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark (Received 15 July 2011; revised manuscript received 18 November 2011; published 27 December 2011) Plants and animals of a given species tend to cluster within their habitats in accordance with a power function between their mean density and the variance.
    [Show full text]
  • Lectures on Conformal Field Theory Arxiv:1511.04074V2 [Hep-Th] 19
    Prepared for submission to JHEP Lectures on Conformal Field Theory Joshua D. Quallsa aDepartment of Physics, National Taiwan University, Taipei, Taiwan E-mail: [email protected] Abstract: These lectures notes are based on courses given at National Taiwan University, National Chiao-Tung University, and National Tsing Hua University in the spring term of 2015. Although the course was offered primarily for graduate students, these lecture notes have been prepared for a more general audience. They are intended as an introduction to conformal field theories in various dimensions working toward current research topics in conformal field theory. We assume the reader to be familiar with quantum field theory. Familiarity with string theory is not a prerequisite for this lectures, although it can only help. These notes include over 80 homework problems and over 45 longer exercises for students. arXiv:1511.04074v2 [hep-th] 19 May 2016 Contents 1 Lecture 1: Introduction and Motivation2 1.1 Introduction and outline2 1.2 Conformal invariance: What?5 1.3 Examples of classical conformal invariance7 1.4 Conformal invariance: Why?8 1.4.1 CFTs in critical phenomena8 1.4.2 Renormalization group 12 1.5 A preview for future courses 16 1.6 Conformal quantum mechanics 17 2 Lecture 2: CFT in d ≥ 3 22 2.1 Conformal transformations for d ≥ 3 22 2.2 Infinitesimal conformal transformations for d ≥ 3 24 2.3 Special conformal transformations and conformal algebra 26 2.4 Conformal group 28 2.5 Representations of the conformal group 29 2.6 Constraints of Conformal
    [Show full text]
  • Quantum Scale Symmetry in Particle Physics, Gravity and Cosmology
    Quantum scale symmetry in particle physics, gravity and cosmology Quantum scale symmetry No parameter with dimension of length or mass is present in the quantum effective action. Then invariance under dilatations or global scale transformations is realized. Continuous global symmetry Scale symmetry in cosmology ? Almost scale invariant primordial fluctuation spectrum scales are present in cosmology Scale symmetry in elementary particle physics ? proton mass , electron mass Scales are present in particle physics, but very small as compared to Planck mass High momentum scattering almost scale invariant Quantum scale symmetry Quantum fluctuations induce running couplings violation of scale symmetry well known in QCD or standard model Quantum scale symmetry quantum fluctuations violate scale symmetry running dimensionless couplings at fixed points , scale symmetry is exact ! quantum fluctuations can generate scale symmetry ! Functional renormalization : flowing action Wikipedia Ultraviolet fixed point UV fixed point Wikipedia Quantum scale symmetry Exactly on fixed point: No parameter with dimension of length or mass is present in the quantum effective action. Then invariance under dilatations or global scale transformations is realized as a quantum symmetry. Continuous global symmetry Two scale symmetries Gravity scale symmetry: includes transformation of metric and scalar singlet Particle scale symmetry: metric and scalar singlet kept fixed relative scaling of momenta with respect to Planck mass Gravity scale symmetry Gravity scale
    [Show full text]