Field Theory Approach to Equilibrium Critical Phenomena

Size: px
Start display at page:

Download "Field Theory Approach to Equilibrium Critical Phenomena"

Transcription

1 Field Theory Approach to Equilibrium Critical Phenomena Uwe C. Täuber Department of Physics (MC 0435), Virginia Tech Blacksburg, Virginia 24061, USA Renormalization Methods in Statistical Physics and Lattice Field Theories Montpellier, August 2015

2 Lecture 1: Critical Scaling: Mean-Field Theory, Real-Space RG Ising model: mean-field theory Real-space renormalization group Landau theory for continuous phase transitions Scaling theory Lecture 2: Momentum Shell Renormalization Group Landau Ginzburg Wilson Hamiltonian Gaussian approximation Wilson s momentum shell renormalization group Dimensional expansion and critical exponents Lecture 3: Field Theory Approach to Critical Phenomena Perturbation expansion and Feynman diagrams Ultraviolet and infrared divergences, renormalization Renormalization group equation and critical exponents Recent developments

3 Lecture 1: Critical Scaling: Mean-Field Theory, Real-Space RG

4 Ferromagnetic Ising model Principal task of statistical mechanics: understand macroscopic properties of matter (interacting many-particle systems): thermodynamic phases and phase transitions Phase transitions at temperature T > 0 driven by competition between energy E minimization and entropy S maximization: minimize free energy F = E T S Example: Ising model for N spin variables σ i = ±1 with ferromagnetic exchange couplings J ij > 0 in external field h: H({σ i }) = 1 2 N J ij σ i σ j h i,j=1 Goal: partition function Z(T, h, N) = {σ i =±1} e H({σ i })/k B T, free energy F (T, h, N) = k B T ln Z(T, h, N), thermal averages: A({σi }) 1 = A({σ i }) e H({σ i })/k B T Z(T, h, N) {σ i =±1} N i=1 σ i

5 Curie Weiss mean-field theory Mean-field approximation: replace effective local field with average: h eff,i = H = h+ J ij σ j h+ σ Jm, J = J(x i ), m = σ i i j i More precisely: σ i = m + (σ i σ i ) σ i σ j = m 2 + m (σ i σ i + σ j σ j ) + (σ i σ i )(σ j σ j ) Neglect fluctuations / spatial correlations H Nm2 J ( h+ 2 Jm ) N ( σ i, Z e Nm2 J/2k B T 2 cosh h + Jm ) N k B T i=1 yields Curie Weiss equation of state m(t, h) = 1 ( ) Fmf N h T,N = tanh h + J m(t, h) k B T Solution for large T : disordered, paramagnetic phase m = 0 T < T c = J/k B : ordered, ferromagnetic phase m 0 Spontaneous symmetry breaking at critical point T c, h = 0

6 Mean-field critical power laws Expand equation of state near T c : τ = T T c T c 1 and h J m 1: h τm + m3 k B T c 3 critical isotherm: T = T c : h k BT c 3 m 3 coexistence curve: h = 0, T < T c : m ±( 3τ) 1/2 isothermal susceptibility: ( ) m χ T = N N 1 h k B T c τ + m 2 T N k B T c { 1/τ 1 τ > 0 1/2 τ 1 τ < 0 Power law singularities in the vicinity of the critical point Deficiencies of mean-field approximation: predicts transition in any spatial dimension d, but Ising model does not display long-range order at d = 1 for T > 0 experimental critical exponents differ from mean-field values origin: diverging susceptibility indicates strong fluctuations

7 Real-space renormalization group: Ising chain Partition sum for h = 0, K = J/kB T : N Z (K, N) = e K i=1 σi σi+1 a K a K... K σi-1 σi K K K σi+1... {σi =±1} decimation of σi, σi+2,... { } 2 cosh 2K σ σ i 1 i+1 = +1 K σi (σi 1 +σi+1 ) e = = e 2g +K σi 1 σi+1 2 σi 1 σi+1 = 1 σi =±1 ( ) 1 N Z (K, N) = Z K = ln cosh 2K, 2 2 ℓ decimations: N (ℓ) = N/2ℓ, a(ℓ) = 2ℓ a, RG recursion: K (ℓ) = 12 ln cosh 2K (ℓ 1) Fixed points phases, phase transition: I K = 0 stable T =, disordered K = unstable T = 0, ordered ( ) 1 2 T 0: expand K 1 ( K )ln dk dℓ (ℓ) ln22 K 1 (ℓ)2 2K Correlation length: K ℓ = ln(2ξ/a) 0 ξ(t ) 2a e 2J/kB T ln 2 I

8 Real-space RG for the Ising square lattice βh({σ i }) = K n.n. (i,j) σ i σ j βh ({σ i }) = A + K +L n.n. (i,j) σ i σ j + M σ i σ j σ k σ l n.n.n. (i,j) (i,j,k,l) a a σ i σ j K K L K 2 cosh K(σ 1 + σ 2 + σ 3 + σ 4 ) = = e A K (σ 1 σ 2 +σ 2 σ 3 +σ 3 σ 4 +σ 4 σ 1 )+L (σ 1 σ 3 +σ 2 σ 4 )+M σ 1 σ 2 σ 3 σ 4 List possible configurations for four nearest neighbors of given spin: σ 1 σ 2 σ 3 σ cosh 4K = e A +2K +2L +M 2 cosh 2K = e A M 2 = e A 2L +M 2 = e A 2K +2L +M

9 RG recursion relations 1 ln cosh 4K 2K 2 + O(K 4 ) 4 K 1 L = = ln cosh 4K K A = L + ln 4 cosh 2K ln 2 + 2K 2 2 M = A ln 2 cosh 2K 0 drop [ ]2 [ ]2 a(ℓ) = 2ℓ/2 a, K (ℓ) 2 K (ℓ 1) + L(ℓ 1), L(ℓ) K (ℓ 1) K = K = 0 = L stable T = : disordered paramagnet I K = = L stable T = 0: ordered ferromagnet I Kc = 1/3, L c = 1/9 unstable: critical fixed point ( (ℓ) ) ( ) ( (ℓ 1) ) δk = K (ℓ) Kc 4/3 1 δk Linearize RG flow: = 2/3 0 δl(ℓ) = L(ℓ) L c δl(ℓ 1) ( ) with eigenvalues λ1/2 = 31 2 ± 10 and associated eigenvectors: ( (ℓ) ) ( ) ( ) ( ) 3 3 K 1/3 ℓ ℓ + c1 λ1 + c2 λ2 1/ L(ℓ) I

10 Critical point scaling Utilize linearized RG flow to analyze critical behavior: λ 1 > 1 relevant direction; λ 2 < 1 irrelevant direction Critical line: c 1 = 0, set L c = 0 (n.n. Ising model), l = 0 ( ) ( ) ( ) Kc 1/3 3 + c 0 1/9 2 1 c = 9( 10+2) K c ; mean-field: K c = 0.25; exact: K c = Relevant eigenvalue determines critical exponent: l 1: λ l 2 0, δk (l) e l ln λ 1 (K K c ) correlations: ξ (l) = 2 l/2 ξ ξ = ξ (l) δk (l) K K c ln 2/2 ln λ 1 ξ (l) a ξ(t ) T T c ν, ν = ln 2 2 ln compare mean-field theory: ν = 1 2 ; exact (L. Onsager): ν = 1 Real-space renormalization group approach: difficult to improve systematically, no small parameter successful applications to critical disordered systems

11 General mean-field theory: Landau expansion Expand free energy (density) in terms of order parameter (scalar field) ϕ near a continuous (second-order) phase transition at T c : f (ϕ) = r 2 ϕ2 + u 4! ϕ h ϕ r = a(t T c ), u > 0; conjugate field h breaks Z(2) symmetry ϕ ϕ f r > 0 r = 0 r < 0 f (ϕ) = 0 equation of state: φ - 0 φ+ φ h(t, ϕ) = r(t ) ϕ + u 6 ϕ3 φ Stability: f (ϕ) = r + u 2 ϕ2 > 0 h > 0 Critical isotherm at T = T c : h(t c, ϕ) = u 6 ϕ3 0 T c h < 0 T Spontaneous order parameter for r < 0: ϕ ± = ±(6 r /u) 1/2

12 Thermodynamic singularities at critical point Isothermal order parameter susceptibility: ( ) h V χ 1 T = = r + u ϕ 2 ϕ2 χ { T 1/r V = 1 r > 0 1/2 r 1 r < 0 T divergence at T c, amplitude ratio 2 χ T C h=0 0 T c T 0 T c Free energy and specific heat vanish for T T c ; for T < T c : f (ϕ ± ) = r 4 ϕ2 ± = 3r 2 ( 2 ) 2u, C f h=0 = VT T 2 = VT 3a2 u h=0 discontinuity at T c T

13 Scaling hypothesis for free energy Postulate: (sing.) free energy generalized homogeneous function: ( ) h f sing (τ, h) = τ 2 α ˆf ± τ, τ = T T c T c two-parameter scaling, with scaling functions ˆf ±, ˆf ± (0) = const. Landau theory: critical exponents α = 0, = 3 2 Specific heat: C h=0 = VT T 2 c Equation of state: ϕ(τ, h) = ( fsing h ( 2 ) f sing τ 2 = C ± τ α h=0 ) Coexistence line h = 0, τ < 0: τ ( ) = τ 2 α h ˆf ± τ ϕ(τ, 0) = τ 2 α ˆf (0) τ β, β = 2 α

14 Scaling relations Critical isotherm: τ dependence in ˆf ± must cancel prefactor, as x : ˆf ±(x) x (2 α )/ ϕ(0, h) h (2 α )/ = h 1/δ, δ = β Isothermal susceptibility: ( ) χ τ ϕ V = = χ ± τ γ, γ = α + 2( 1) h τ, h=0 Eliminate scaling relations: = β δ, α + β(1 + δ) = 2 = α + 2β + γ, γ = β(δ 1) only two independent (static) critical exponents Mean-field: α = 0, β = 1 2, γ = 1, δ = 3, = 3 2 (dim. analysis) Experimental exponent values different, but still universal: depend only on symmetry, dimension..., not microscopic details

15 Thermodynamic self-similarity in the vicinity of T c Temperature dependence of the specific heat near the normal- to superfluid transition of He 4, shown in successively reduced scales From: M.J. Buckingham and W.M. Fairbank, in: Progress in low temperature physics, Vol. III, ed. C.J. Gorter, , North-Holland (Amsterdam, 1961).

16 Selected literature: J.J. Binney, N.J. Dowrick, A.J. Fisher, and M.E.J. Newman, The theory of critical phenomena, Oxford University Press (Oxford, 1993). N. Goldenfeld, Lectures on phase transitions and the renormalization group, Addison Wesley (Reading, 1992). S.-k. Ma, Modern theory of critical phenomena, Benjamin Cummings (Reading, 1976). G.F. Mazenko, Fluctuations, order, and defects, Wiley Interscience (Hoboken, 2003). R.K. Pathria, Statistical mechanics, Butterworth Heinemann (Oxford, 2nd ed. 1996). A.Z. Patashinskii and V.L. Pokrovskii, Fluctuation theory of phase transitions, Pergamon Press (New York, 1979). L.E. Reichl, A modern course in statistical physics, Wiley VCH (Weinheim, 3rd ed. 2009). F. Schwabl, Statistical mechanics, Springer (Berlin, 2nd ed. 2006). U.C. Täuber, Critical dynamics A field theory approach to equilibrium and non-equilibrium scaling behavior, Cambridge University Press (Cambridge, 2014), Chap. 1.

17 Lecture 2: Momentum Shell Renormalization Group

18 Landau Ginzburg Wilson Hamiltonian Coarse-grained Hamiltonian, order parameter field S(x): [ r H[S] = d d x 2 S(x) [ S(x)]2 + u ] 4! S(x)4 h(x) S(x) r = a(t T 0 c ), u > 0, h(x) local external field; gradient term [ S(x)] 2 suppresses spatial inhomogeneities Probability density for configuration S(x): Boltzmann factor P s [S] = exp( H[S]/k B T )/Z[h] canonical partition function and moments functional integrals: Z[h] = D[S] e H[S]/kBT, ϕ = S(x) = D[S] S(x) P s [S] Integral measure: discretize x x i, D[S] = i ds(x i) or employ Fourier transform: S(x) = d d q S(q) e iq x (2π) d D[S] = q ds(q) V = q,q 1 >0 d Re S(q) d Im S(q) V

19 Landau Ginzburg approximation Most likely configuration Ginzburg Landau equation: 0 = δh[s] δs(x) = [ r 2 + u 6 S(x)2] S(x) h(x) Linearize S(x) = ϕ + δs(x) δh(x) ( r 2 + u 2 ϕ2) δs(x) Fourier transform Ornstein Zernicke susceptibility: χ 0 (q) = 1 r + u 2 ϕ2 + q 2 = 1 ξ 2 + q 2, ξ = { 1/r 1/2 r > 0 1/ 2r 1/2 r < 0 Zero-field two-point correlation function (cumulant): C(x x ) = S(x) S(x ) S(x) 2 = (k B T ) 2 δ2 ln Z[h] δh(x) δh(x ) Fourier transform C(x) = d d q (2π) d C(q) e iq x fluctuation response theorem: C(q) = k B T χ(q) h=0

20 Scaling hypothesis for correlation function Scaling ansatz, defines Fisher exponent η and correlation length ξ: C(τ, q) = q 2+η Ĉ ± (qξ), ξ = ξ ± τ ν Thermodynamic susceptibility: χ(τ, q = 0) ξ 2 η τ ν(2 η) = τ γ, γ = ν(2 η) Spatial correlations for x : C(τ, x) = x (d 2+η) C± (x/ξ) ξ (d 2+η) τ ν(d 2+η) S(x)S(0) S 2 = ϕ 2 ( τ) 2β hyperscaling relations: β = ν (d 2 + η), 2 α = dν 2 Mean-field values: ν = 1 2, η = 0 (Ornstein Zernicke) Diverging spatial correlations induce thermodynamic singularities!

21 Gaussian approximation High-temperature phase, T > T c : neglect nonlinear contributions: d d [ q 1 ( H 0 [S] = r + q 2 ) ] (2π) d S(q) 2 h(q)s( q) 2 Linear transformation Gaussian integral: S(q) = S(q) h(q), r+q 2 q... = d d q (2π) d and Z 0 [h] = D[S] exp( H 0 [S]/k B T ) = ( 1 h(q) 2 ) ( = exp 2k B T q r + q 2 D[ S] r + q 2 ) exp q 2k B T S(q) 2 S(q)S(q ) 0 = (k BT ) 2 (2π) 2d δ 2 Z 0 [h] Z 0 [h] δh( q) δh( q ) h=0 = C 0 (q) (2π) d δ(q + q ), C 0 (q) = k BT r + q 2

22 Gaussian model: free energy and specific heat F 0 [h] = k B T ln Z 0 [h] = 1 2 Leading singularity in specific heat: ( 2 ) F 0 C h=0 = T T 2 Vk B (atc 0 ) 2 2 h=0 q ( h(q) 2 r + q 2 + k BT V ln 2π k BT r + q 2 q 1 (r + q 2 ) 2. d > 4: integral UV-divergent; regularized by cutoff Λ (Brillouin zone boundary) α = 0 as in mean-field theory d = d c = 4: integral diverges logarithmically: Λξ 0 k 3 (1 + k 2 dk ln(λξ) ) 2 d < 4: with k = q/ r = qξ, surface area K d = 2πd/2 C sing Vk B(aT 0 c ) 2 ξ 4 d 2 d π d/2 Γ(d/2) 0 Γ(d/2) : ) k d 1 (1 + k 2 ) 2 dk T T c 0 4 d 2 diverges; stronger singularity than in mean-field theory.

23 Renormalization group program in statistical physics Goal: critical (IR) singularities; perturbatively inaccessible. Exploit fundamental new symmetry: divergent correlation length induces scale invariance. Analyze theory in ultraviolet regime: integrate out short-wavelength modes / renormalize UV divergences. Rescale onto original Hamiltonian, obtain recursion relations for effective, now scale-dependent running couplings. Under such RG transformations: Relevant parameters grow: set to 0: critical surface. Certain couplings approach IR-stable fixed point: scale-invariant behavior. Irrelevant couplings vanish: origin of universality. Scale invariance at critical fixed point infer correct IR scaling behavior from (approximative) analysis of UV regime derivation of scaling laws. Dimensional expansion: ϵ = d c d small parameter, permits perturbational treatment computation of critical exponents.

24 Wilson s momentum shell renormalization group RG transformation steps: (1) Carry out the partition integral over all Fourier components S(q) with wave vectors Λ/b q Λ, where b > 1: eliminates short-wavelength modes (2) Scale transformation with the same scale parameter b > 1: x x = x/b, q q = b q Λ/b Λ Accordingly, we also need to rescale the fields: S(x) S (x ) = b ζ S(x), S(q) S (q ) = b ζ d S(q) Proper choice of ζ rescaled Hamiltonian assumes original form scale-dependent effective couplings, analyze dependence on b Notice semi-group character: RG transformation has no inverse

25 Momentum shell RG: Gaussian model ( < H 0 [S < ] + H 0 [S > ] = + where < q... = q <Λ/b q > q ) [ ] r + q 2 S(q) 2 h(q) S( q) 2 d d q..., > (2π) d q Choose ζ = d 2 2 r r = b 2 r,... = Λ/b q Λ d d q (2π) d... h(q) h (q ) = b ζ h(q), h(x) h (x ) = b d ζ h(x) r, h both relevant critical surface: r = 0 = h Correlation length: ξ ξ = ξ/b ξ r 1/2 : ν = 1 2 Correlation function: C (x ) = b 2ζ C(x) η = 0 Add other couplings: c d d x ( 2 S) 2 : c c = b d 4 2ζ c = b 2 c, irrelevant u d d x S(x) 4 : u u = b d 4ζ u = b 4 d u; relevant for d < 4, (dangerously) irrelevant for d > 4, marginal at d = d c = 4 v d d x S(x) 6 : v v = b 6 2d v, marginal for d = 3; irrelevant near d c = 4: v = b 2 v

26 Momentum shell RG: general structure General choice: ζ = d 2+η 2 τ = b 1/ν τ, h = b (d+2 η)/2 h Only two relevant parameters τ and h Few marginal couplings u i u i = ui + b x i u i, x i > 0 Other couplings irrelevant: v i v i = b y i v i, y i > 0 After single RG transformation: { f sing (τ, h, {u i }, {v i }) = b d f sing (b 1/ν τ, b d ζ h, ui + u } { i vi }) b x, i b y i After sufficiently many l 1 RG transformations: ) f sing (τ, h, {u i }, {v i }) =b ld f sing (b l/ν τ, b l(d+2 η)/2 h, {ui }, {0} Choose matching condition b l τ ν = 1 scaling form: ( f sing (τ, h) = τ dν ˆf± h/ τ ν(d+2 η)/2) Correlation function scaling law: use b l = ξ/ξ ± ( C(τ, x, {u i }, {v i }) = b 2lζ C b l/ν τ, x ) b l, {u i }, {0} C ± (x/ξ) x d 2+η

27 Perturbation expansion Nonlinear interaction term: H int [S] = u S(q 1 )S(q 2 )S(q 3 )S( q 1 q 2 q 3 ) 4! q i <Λ Rewrite partition function and N-point correlation functions: Z[h] = Z 0 [h] e H int[s], 0 i S(q i ) = i S(q i) e H int[s] 0 e H int [S] 0 contraction: S(q)S(q ) = S(q)S(q ) 0 = C 0 (q) (2π) d δ(q + q ) Wick s theorem: S(q 1 )S(q 2 )... S(q N 1 )S(q N ) 0 = = S(q i1 (1))S(q i2 (2))... S(q in 1 (N 1))S(q in (N)) permutations i 1 (1)...i N (N) compute all expectation values in the Gaussian ensemble

28 First-order correction to two-point function Consider S(q)S(q ) = C(q) (2π) d δ(q + q ) for h = 0; to O(u): [ S(q)S(q ) 1 u ] S(q 1 )S(q 2 )S(q 3 )S( q 1 q 2 q 3 ) 4! q i <Λ Contractions of external legs S(q)S(q ): terms cancel with denominator, leaving S(q)S(q ) 0 The remaining twelve contributions are of the form q i <Λ S(q)S(q 1) S(q 2 )S(q 3 ) S( q 1 q 2 q 3 )S(q ) = = C 0 (q) 2 (2π) d δ(q + q ) p <Λ C 0(p) [ C(q) = C 0 (q) 1 u ] 2 C 0(q) C 0 (p) + O(u 2 ) p <Λ re-interpret as first-order self-energy in Dyson s equation: C(q) 1 = r + q 2 + u 1 2 r + p 2 + O(u2 ) p <Λ Notice: to first order in u, there is only mass renormalization, no change in momentum dependence of C(q) 0

29 Wilson RG procedure: first-order recursion relations Split field variables in outer (S > ) / inner (S < ) momentum shell: simply re-exponentiate terms u S 4 <e H 0[S] contributions such as u S 3 < S > e H 0[S] vanish terms u S 4 >e H 0[S] const., contribute to free energy contributions u S 2 < S 2 >e H 0 : Gaussian integral over S > With S d = K d /(2π) d = 1/2 d 1 π d/2 Γ(d/2) and η = 0 to O(u): r = b 2[ r + u ] 2 A(r) = b [r 2 + u Λ 2 S p d 1 ] d Λ/b r + p 2 dp u = b 4 d u [1 3u ] [ 2 B(r) = b 4 d u 1 3u Λ 2 S p d 1 ] dp d (r + p 2 ) 2 r 1: fluctuation contributions disappear, Gaussian theory r 1: expand d 2 1 b2 d d 4 1 b4 d A(r) = S d Λ r S d Λ + O(r 2 ) d 2 d 4 d 4 1 b4 d B(r) = S d Λ d 4 + O(r) Λ/b

30 Differential RG flow, fixed points, dimensional expansion Differential RG flow: set b = e δl with δl 0: d r(l) = 2 r(l) + ũ(l) dl 2 S dλ d 2 r(l)ũ(l) S d Λ d 4 + O(ũ r 2, ũ 2 ) 2 dũ(l) = (4 d)ũ(l) 3 dl 2 ũ(l)2 S d Λ d 4 + O(ũ r, ũ 2 ) Renormalization group fixed points: d r(l)/dl = 0 = dũ(l)/dl Gauss: u 0 = 0 Ising: u I S d = 2 3 (4 d)λ4 d, d < 4 Linearize δũ(l) = ũ(l) ui : d dl δũ(l) (d 4)δũ(l) u0 stable for d > 4, u I stable for d < 4 Small expansion parameter: ϵ = 4 d = d c d ui emerges continuously from u 0 = 0 Insert: ri = 1 4 u I S dλ d 2 = 1 6 ϵλ2 : non-universal, describes fluctuation-induced downward T c -shift RG procedure generates new terms S 6, 2 S 4, etc; to O(ϵ 3 ), feedback into recursion relations can be neglected

31 Critical exponents Deviation from true T c : τ = r ri T T c Recursion relation for this (relevant) running coupling: [ d τ(l) = τ(l) 2 ũ(l) ] dl 2 S dλ d 4 Solve near Ising fixed point: τ(l) = τ(0) exp [( 2 ϵ ) ] 3 l Compare with ξ(l) = ξ(0) e l ν 1 = 2 ϵ 3 Consistently to order ϵ = 4 d: ν = ϵ 12 + O(ϵ2 ), η = 0 + O(ϵ 2 ) Note at d = d c = 4: ũ(l) = ũ(0)/[1 + 3 ũ(0) l/16π 2 ] logarithmic corrections to mean-field exponents Renormalization group procedure: Derive scaling laws. Two relevant couplings independent critical exponents. Compute scaling exponents via power series in ϵ = d c d.

32 Selected literature: J.J. Binney, N.J. Dowrick, A.J. Fisher, and M.E.J. Newman, The theory of critical phenomena, Oxford University Press (Oxford, 1993). J. Cardy, Scaling and renormalization in statistical physics, Cambridge University Press (Cambridge, 1996). M.E. Fisher, The renormalization group in the theory of critical behavior, Rev. Mod. Phys. 46, (1974). N. Goldenfeld, Lectures on phase transitions and the renormalization group, Addison Wesley (Reading, 1992). S.-k. Ma, Modern theory of critical phenomena, Benjamin Cummings (Reading, 1976). G.F. Mazenko, Fluctuations, order, and defects, Wiley Interscience (Hoboken, 2003). A.Z. Patashinskii and V.L. Pokrovskii, Fluctuation theory of phase transitions, Pergamon Press (New York, 1979). U.C. Täuber, Critical dynamics A field theory approach to equilibrium and non-equilibrium scaling behavior, Cambridge University Press (Cambridge, 2014), Chap. 1. K.G. Wilson and J. Kogut, The renormalization group and the ϵ expansion, Phys. Rep. 12 C, (1974).

33 Lecture 3: Field Theory Approach to Critical Phenomena

34 Perturbation expansion O(n)-symmetric Hamiltonian (henceforth set k B T = 1): n [ r H[S] = d d x 2 S α (x) [ S α (x)] 2 + u n ] S α (x) 2 S β (x) 2 4! α=1 β=1 Construct perturbation expansion for ij S α i S α j : ij Sα i S α j e H int[s] 0 ij = Sα i S α j l=0 e H int [S] 0 l=0 l! q Diagrammatic representation: α Propagator C 0 (q) = 1 r+q 2 Vertex u 6 ( H int [S]) l l! ( H int [S]) l 0 α α β β β 0 = C 0 (q) = u 6 Generating functional for correlation functions (cumulants): Z[h] = exp d d x h α S α, S α i = δ(ln)z[h] (c) δh α i α i i h=0 δ αβ

35 Vertex functions Connected Feynman diagrams: u u Dyson equation: + + propagator self-energy: u u u + = + Σ + Σ Σ +... = + Σ C(q) 1 = C 0 (q) 1 Σ(q) Generating functional for vertex functions, Φ α = δ ln Z[h]/δh α : Γ[Φ] = ln Z[h] + d d x h α Φ α, Γ (N) {α i } = N δγ[φ] δφ α i h=0 α i 4 4 Γ (2) (q) = C(q) 1, S(q i ) c = C(q i ) Γ (4) ({q i }) i=1 one-particle irreducible Feynman graphs Perturbation series in nonlinear coupling u loop expansion i=1 u u

36 Explicit results Two-point vertex function to two-loop order: Γ (2) (q) = r + q 2 + n ( ) n u 6 n u2 u k + u k 1 r + k 2 u u 1 k r + k 2 1 r + k 2 1 k r + k k (r + k 2 ) 2 u 1 r + (q k k ) 2 four-point vertex function to one-loop order: Γ (4) ({q i = 0}) = u n + 8 u (r + k 2 ) 2 u u k u

37 Ultraviolet and infrared divergences Fluctuation correction to four-point vertex function: d < 4 : u d d k 1 (2π) d (r + k 2 ) 2 = u r 2+d/2 2 d 1 π d/2 Γ(d/2) 0 x d 1 (1 + x 2 ) 2 dx effective coupling u r (d 4)/2 as r 0: infrared divergence fluctuation corrections singular, modify critical power laws Λ 0 k d 1 (r + k 2 ) 2 dk { ln(λ 2 /r) d = 4 Λ d 4 d > 4 } as Λ ultraviolet divergences for d > d c = 4: upper critical dimension Power counting in terms of arbitrary momentum scale µ: [x] = µ 1, [q] = µ, [S α (x)] = µ 1+d/2 ; [r] = µ 2 relevant, [u] = µ 4 d marginal at d c = 4 only divergent vertex functions: Γ (2) (q), Γ (4) ({q i = 0}) field dimensionless at lower critical dimension d lc = 2

38 Dimension regimes and dimensional regularization dimension perturbation O(n)-symmetric critical interval series Φ 4 field theory behavior d d lc = 2 IR-singular ill-defined no long-range UV-convergent u relevant order (n 2) 2 < d < 4 IR-singular super-renormalizable non-classical UV-convergent u relevant exponents d = d c = 4 logarithmic IR-/ renormalizable logarithmic UV-divergence u marginal corrections d > 4 IR-regular non-renormalizable mean-field UV-divergent u irrelevant exponents Integrals in dimensional regularization: even for non-integer d, σ: d d k (2π) d k 2σ Γ(σ + d/2) Γ(s σ d/2) (τ + k 2 ) s = 2 d π d/2 Γ(d/2) Γ(s) in effect: discard divergent surface integrals τ σ s+d/2 UV singularities dimensional poles in Euler Γ functions

39 Renormalization Susceptibility χ 1 = C(q = 0) 1 = Γ (2) (q = 0) = τ = r r c r c = n u 6 r c + k 2 + O(u2 ) = n + 2 u K d Λ d 2 6 (2π) d d 2 k (non-universal) T c -shift: additive [ renormalization χ(q) 1 = q 2 + τ 1 n + 2 ] 1 u 6 k k 2 (τ + k 2 ) Multiplicative renormalization: absorb UV poles at ϵ = 0 into renormalized fields and parameters: SR α = Z 1/2 S S α Γ (N) R = Z N/2 S Γ (N) τ R = Z τ τ µ 2, u R = Z u u A d µ d 4, A d = Γ(3 d/2) 2 d 1 π d/2 Normalization point outside IR regime, τ R = 1 or q = µ: O(u R ) : Z τ = 1 n + 2 u R 6 ϵ, Z u = 1 n + 8 u R 6 ϵ O(uR 2 ) : Z S = 1 + n + 2 ur ϵ

40 Renormalization group equation Unrenormalized quantities cannot depend on arbitrary scale µ: 0 = µ d dµ Γ(N) (τ, u) = µ d [ ] Z N/2 dµ S Γ (N) R (µ, τ R, u R ) renormalization group equation: [ µ µ + N 2 γ S + γ τ τ R + β u τ R u R with Wilson s flow and RG beta functions: γ S = µ ln Z S = n + 2 µ 0 72 u2 R + O(u3 R ) γ τ = µ ln τ R µ 0 τ = 2 + n + 2 u R + O(uR 2 6 ) β u = µ [ u R = u R d 4 + µ ] ln Z u µ 0 µ 0 [ = u R ϵ + n + 8 ] u R + O(uR 2 6 ) ] Γ (N) R (µ, τ R, u R ) = 0 ß u 0 u R

41 Method of characteristics Susceptibility χ(q) = Γ (2) (q) 1 : ( χ R (µ, τ R, u R, q) 1 = µ 2 ˆχ R τ R, u R, q ) 1 µ solve RG equation: method of characteristics µ µ(l) = µ l [ l χ R (l) 1 = χ R (1) 1 l 2 exp 1 ] γ S (l ) dl l u(l) u(1) τ(1) with running couplings, initial values τ(1) = τ R, ũ(1) = u R : l d τ(l) = τ(l) γ τ (l), l dũ(l) = β u (l) dl dl Near infrared-stable RG fixed point: β u (u ) = 0, β u(u ) > 0 τ(l) τ R l γ τ, χ R (τ R, q) 1 µ 2 l 2+γ S ˆχR (τ R l γ τ, u, q µ l ) 1 matching l = q /µ scaling form with η = γ S, ν = 1/γ τ τ(l)

42 Critical exponents Systematic ϵ = 4 d expansion: [ β u = u R ϵ + n u 0 = 0, u H = IR stability: β u(u ) > 0 u R + O(u 2 R ) ] 6 ϵ n O(ϵ2 ) d > 4: Gaussian fixed point u0 η = 0, ν = 1 2 (mean-field) d < 4: Heisenberg fixed point uh stable η = n (n + 8) 2 ϵ2 + O(ϵ 3 ), ν 1 = 2 n + 2 n + 8 ϵ + O(ϵ2 ) d = d c = 4: logarithmic corrections: u R ũ(l) = 1 n+8 6 u R ln l, τ(l) τ R l 2 (ln l ) (n+2)/(n+8) ξ τ 1/2 R (ln τ R ) (n+2)/2(n+8) Accurate exponent values: Monte Carlo simulations; or: Borel resummation; non-perturbative exact (numerical) RG ß u 0 u R

43 Non-perturbative RG, critical dynamics Non-perturbative RG: numerically solve exact RG flow equation for effective potential Γ = Γ k 0 t Γ k = 1 [ 2 Tr Γ (2) 1 k k(q)] (q) + R t R k (q) q with appropriately chosen regulator R k, t = ln(k/λ) Critical dynamics: relaxation time t c (τ) ξ(τ) z τ zν with dynamic critical exponent z; time scale separation Langevin equations for order parameter and conserved fields: t S α (x, t) = F α [S](x, t) + ζ α (x, t), ζ α (x, t) = 0 ζ α (x, t)ζ β (x, t ) = 2L α δ(x x ) δ(t t ) δ αβ map onto Janssen De Dominicis response functional: A[S] ζ = D[S] A[S] P[S], P[S] D[i S] e A[ S,S] A[ S, tf S] = d d x dt [ ( S α t S α F [S]) α S ] α L α Sα 0 α

44 Non-equilibrium dynamic scaling Field theory representations for non-equilibrium dynamical systems: Coarse-grained effective Langevin description: Janssen De Dominicis functional Interacting / reacting particle systems: Doi Peliti field theory from stochastic master equation Non-equilibium quantum dynamics: Keldysh Baym Kadanoff Green function formalism All contain additional field encoding non-equilibrium dynamics anisotropic (d + 1)-dimensional field theory: dynamic exponent(s) RG fixed points dynamic scaling properties, characterize: non-equilibrium stationary states / phases universality classes for non-equilibrium phase transitions non-equilibrium relaxation and aging scaling features properties of systems displaying generic scale invariance

45 Selected literature: D.J. Amit, Field theory, the renormalization group, and critical phenomena, World Scientific (Singapore, 1984). M. Le Bellac, Quantum and statistical field theory, Oxford University Press (Oxford, 1991). C. Itzykson and J.M. Drouffe, Statistical field theory, Vol. I, Cambridge University Press (Cambridge, 1989). A. Kamenev, Field theory of non-equilibrium systems, Cambridge University Press (Cambridge, 2011). G. Parisi, Statistical field theory, Addison Wesley (Redwood City, 1988). P. Ramond, Field theory A modern primer, Benjamin Cummings (Reading, 1981). U.C. Täuber, Critical dynamics A field theory approach to equilibrium and non-equilibrium scaling behavior, Cambridge University Press (Cambridge, 2014). A.N. Vasil ev, The field theoretic renormalization group in critical behavior theory and stochastic dynamics, Chapman & Hall / CRC (Boca Raton, 2004). J. Zinn-Justin, Quantum field theory and critical phenomena, Clarendon Press (Oxford, 1993).

Introduction to Phase Transitions in Statistical Physics and Field Theory

Introduction to Phase Transitions in Statistical Physics and Field Theory Introduction to Phase Transitions in Statistical Physics and Field Theory Motivation Basic Concepts and Facts about Phase Transitions: Phase Transitions in Fluids and Magnets Thermodynamics and Statistical

More information

the renormalization group (RG) idea

the renormalization group (RG) idea the renormalization group (RG) idea Block Spin Partition function Z =Tr s e H. block spin transformation (majority rule) T (s, if s i ; s,...,s 9 )= s i > 0; 0, otherwise. b Block Spin (block-)transformed

More information

Renormalization Group: non perturbative aspects and applications in statistical and solid state physics.

Renormalization Group: non perturbative aspects and applications in statistical and solid state physics. Renormalization Group: non perturbative aspects and applications in statistical and solid state physics. Bertrand Delamotte Saclay, march 3, 2009 Introduction Field theory: - infinitely many degrees of

More information

Phase Transitions and the Renormalization Group

Phase Transitions and the Renormalization Group School of Science International Summer School on Topological and Symmetry-Broken Phases Phase Transitions and the Renormalization Group An Introduction Dietmar Lehmann Institute of Theoretical Physics,

More information

Renormalization Group for the Two-Dimensional Ising Model

Renormalization Group for the Two-Dimensional Ising Model Chapter 8 Renormalization Group for the Two-Dimensional Ising Model The two-dimensional (2D) Ising model is arguably the most important in statistical physics. This special status is due to Lars Onsager

More information

Complex Systems Methods 9. Critical Phenomena: The Renormalization Group

Complex Systems Methods 9. Critical Phenomena: The Renormalization Group Complex Systems Methods 9. Critical Phenomena: The Renormalization Group Eckehard Olbrich e.olbrich@gmx.de http://personal-homepages.mis.mpg.de/olbrich/complex systems.html Potsdam WS 2007/08 Olbrich (Leipzig)

More information

Critical Behavior I: Phenomenology, Universality & Scaling

Critical Behavior I: Phenomenology, Universality & Scaling Critical Behavior I: Phenomenology, Universality & Scaling H. W. Diehl Fachbereich Physik, Universität Duisburg-Essen, Campus Essen 1 Goals recall basic facts about (static equilibrium) critical behavior

More information

The Ising model Summary of L12

The Ising model Summary of L12 The Ising model Summary of L2 Aim: Study connections between macroscopic phenomena and the underlying microscopic world for a ferromagnet. How: Study the simplest possible model of a ferromagnet containing

More information

NPTEL

NPTEL NPTEL Syllabus Nonequilibrium Statistical Mechanics - Video course COURSE OUTLINE Thermal fluctuations, Langevin dynamics, Brownian motion and diffusion, Fokker-Planck equations, linear response theory,

More information

PHYSICAL REVIEW LETTERS

PHYSICAL REVIEW LETTERS PHYSICAL REVIEW LETTERS VOLUME 76 4 MARCH 1996 NUMBER 10 Finite-Size Scaling and Universality above the Upper Critical Dimensionality Erik Luijten* and Henk W. J. Blöte Faculty of Applied Physics, Delft

More information

Critical Behavior II: Renormalization Group Theory

Critical Behavior II: Renormalization Group Theory Critical Behavior II: Renormalization Group Theor H. W. Diehl Fachbereich Phsik, Universität Duisburg-Essen, Campus Essen 1 What the Theor should Accomplish Theor should ield & explain: scaling laws #

More information

Phase Transitions in Condensed Matter Spontaneous Symmetry Breaking and Universality. Hans-Henning Klauss. Institut für Festkörperphysik TU Dresden

Phase Transitions in Condensed Matter Spontaneous Symmetry Breaking and Universality. Hans-Henning Klauss. Institut für Festkörperphysik TU Dresden Phase Transitions in Condensed Matter Spontaneous Symmetry Breaking and Universality Hans-Henning Klauss Institut für Festkörperphysik TU Dresden 1 References [1] Stephen Blundell, Magnetism in Condensed

More information

Kolloquium Universität Innsbruck October 13, The renormalization group: from the foundations to modern applications

Kolloquium Universität Innsbruck October 13, The renormalization group: from the foundations to modern applications Kolloquium Universität Innsbruck October 13, 2009 The renormalization group: from the foundations to modern applications Peter Kopietz, Universität Frankfurt 1.) Historical introduction: what is the RG?

More information

Statistical Thermodynamics Solution Exercise 8 HS Solution Exercise 8

Statistical Thermodynamics Solution Exercise 8 HS Solution Exercise 8 Statistical Thermodynamics Solution Exercise 8 HS 05 Solution Exercise 8 Problem : Paramagnetism - Brillouin function a According to the equation for the energy of a magnetic dipole in an external magnetic

More information

Phase transitions and critical phenomena

Phase transitions and critical phenomena Phase transitions and critical phenomena Classification of phase transitions. Discontinous (st order) transitions Summary week -5 st derivatives of thermodynamic potentials jump discontinously, e.g. (

More information

Lecture Notes, Field Theory in Condensed Matter Physics: Quantum Criticality and the Renormalization Group

Lecture Notes, Field Theory in Condensed Matter Physics: Quantum Criticality and the Renormalization Group Lecture Notes, Field Theory in Condensed Matter Physics: Quantum Criticality and the Renormalization Group Jörg Schmalian Institute for Theory of Condensed Matter (TKM) Karlsruhe Institute of Technology

More information

Physics 212: Statistical mechanics II Lecture XI

Physics 212: Statistical mechanics II Lecture XI Physics 212: Statistical mechanics II Lecture XI The main result of the last lecture was a calculation of the averaged magnetization in mean-field theory in Fourier space when the spin at the origin is

More information

Scaling Theory. Roger Herrigel Advisor: Helmut Katzgraber

Scaling Theory. Roger Herrigel Advisor: Helmut Katzgraber Scaling Theory Roger Herrigel Advisor: Helmut Katzgraber 7.4.2007 Outline The scaling hypothesis Critical exponents The scaling hypothesis Derivation of the scaling relations Heuristic explanation Kadanoff

More information

NATURAL SCIENCES TRIPOS. Past questions. EXPERIMENTAL AND THEORETICAL PHYSICS Minor Topics. (27 February 2010)

NATURAL SCIENCES TRIPOS. Past questions. EXPERIMENTAL AND THEORETICAL PHYSICS Minor Topics. (27 February 2010) NATURAL SCIENCES TRIPOS Part III Past questions EXPERIMENTAL AND THEORETICAL PHYSICS Minor Topics (27 February 21) 1 In one-dimension, the q-state Potts model is defined by the lattice Hamiltonian βh =

More information

Physics 127b: Statistical Mechanics. Renormalization Group: 1d Ising Model. Perturbation expansion

Physics 127b: Statistical Mechanics. Renormalization Group: 1d Ising Model. Perturbation expansion Physics 17b: Statistical Mechanics Renormalization Group: 1d Ising Model The ReNormalization Group (RNG) gives an understanding of scaling and universality, and provides various approximation schemes to

More information

Collective Effects. Equilibrium and Nonequilibrium Physics

Collective Effects. Equilibrium and Nonequilibrium Physics Collective Effects in Equilibrium and Nonequilibrium Physics: Lecture 3, 3 March 2006 Collective Effects in Equilibrium and Nonequilibrium Physics Website: http://cncs.bnu.edu.cn/mccross/course/ Caltech

More information

Chapter 4. Renormalisation Group. 4.1 Conceptual Approach

Chapter 4. Renormalisation Group. 4.1 Conceptual Approach Chapter 4 Renormalisation Group Previously, our analysis of the Ginzburg-Landau Hamiltonian revealed a formal breakdown of mean-field theory in dimensions below some upper critical dimension. Although

More information

Physics 7240: Advanced Statistical Mechanics Lecture 1: Introduction and Overview

Physics 7240: Advanced Statistical Mechanics Lecture 1: Introduction and Overview Physics 7240: Advanced Statistical Mechanics Lecture 1: Introduction and Overview Leo Radzihovsky Department of Physics, University of Colorado, Boulder, CO 80309 (Dated: 30 May, 2017) Electronic address:

More information

8.334: Statistical Mechanics II Spring 2014 Test 2 Review Problems

8.334: Statistical Mechanics II Spring 2014 Test 2 Review Problems 8.334: Statistical Mechanics II Spring 014 Test Review Problems The test is closed book, but if you wish you may bring a one-sided sheet of formulas. The intent of this sheet is as a reminder of important

More information

Problem set for the course Skálázás és renormálás a statisztikus fizikában, 2014

Problem set for the course Skálázás és renormálás a statisztikus fizikában, 2014 1 Problem set for the course Skálázás és renormálás a statisztikus fizikában, 014 Rules: You can choose at wish from problems having the same main number (i.e. from a given section), but you can collect

More information

Linear Theory of Evolution to an Unstable State

Linear Theory of Evolution to an Unstable State Chapter 2 Linear Theory of Evolution to an Unstable State c 2012 by William Klein, Harvey Gould, and Jan Tobochnik 1 October 2012 2.1 Introduction The simple theory of nucleation that we introduced in

More information

Renormalization of microscopic Hamiltonians. Renormalization Group without Field Theory

Renormalization of microscopic Hamiltonians. Renormalization Group without Field Theory Renormalization of microscopic Hamiltonians Renormalization Group without Field Theory Alberto Parola Università dell Insubria (Como - Italy) Renormalization Group Universality Only dimensionality and

More information

Interface Profiles in Field Theory

Interface Profiles in Field Theory Florian König Institut für Theoretische Physik Universität Münster January 10, 2011 / Forschungsseminar Quantenfeldtheorie Outline φ 4 -Theory in Statistical Physics Critical Phenomena and Order Parameter

More information

An introduction to lattice field theory

An introduction to lattice field theory An introduction to lattice field theory, TIFR, Mumbai, India CBM School, Darjeeling 21 23 January, 2014 1 The path integral formulation 2 Field theory, divergences, renormalization 3 Example 1: the central

More information

Phase Transitions and Renormalization:

Phase Transitions and Renormalization: Phase Transitions and Renormalization: Using quantum techniques to understand critical phenomena. Sean Pohorence Department of Applied Mathematics and Theoretical Physics University of Cambridge CAPS 2013

More information

8.334: Statistical Mechanics II Spring 2014 Test 3 Review Problems

8.334: Statistical Mechanics II Spring 2014 Test 3 Review Problems 8.334: Statistical Mechanics II Spring 014 Test 3 Review Problems The test is closed book, but if you wish you may bring a one-sided sheet of formulas. The intent of this sheet is as a reminder of important

More information

Statistical Mechanics

Statistical Mechanics Franz Schwabl Statistical Mechanics Translated by William Brewer Second Edition With 202 Figures, 26 Tables, and 195 Problems 4u Springer Table of Contents 1. Basic Principles 1 1.1 Introduction 1 1.2

More information

Finite Temperature Field Theory

Finite Temperature Field Theory Finite Temperature Field Theory Dietrich Bödeker, Universität Bielefeld 1. Thermodynamics (better: thermo-statics) (a) Imaginary time formalism (b) free energy: scalar particles, resummation i. pedestrian

More information

9.1 System in contact with a heat reservoir

9.1 System in contact with a heat reservoir Chapter 9 Canonical ensemble 9. System in contact with a heat reservoir We consider a small system A characterized by E, V and N in thermal interaction with a heat reservoir A 2 characterized by E 2, V

More information

arxiv:hep-th/ v2 1 Aug 2001

arxiv:hep-th/ v2 1 Aug 2001 Universal amplitude ratios in the two-dimensional Ising model 1 arxiv:hep-th/9710019v2 1 Aug 2001 Gesualdo Delfino Laboratoire de Physique Théorique, Université de Montpellier II Pl. E. Bataillon, 34095

More information

Principles of Equilibrium Statistical Mechanics

Principles of Equilibrium Statistical Mechanics Debashish Chowdhury, Dietrich Stauffer Principles of Equilibrium Statistical Mechanics WILEY-VCH Weinheim New York Chichester Brisbane Singapore Toronto Table of Contents Part I: THERMOSTATICS 1 1 BASIC

More information

Notes on Renormalization Group: ϕ 4 theory and ferromagnetism

Notes on Renormalization Group: ϕ 4 theory and ferromagnetism Notes on Renormalization Group: ϕ 4 theory and ferromagnetism Yi Zhou (Dated: November 4, 015) In this lecture, we shall study the ϕ 4 theory up to one-loop RG and discuss the application to ferromagnetic

More information

Phase transitions and finite-size scaling

Phase transitions and finite-size scaling Phase transitions and finite-size scaling Critical slowing down and cluster methods. Theory of phase transitions/ RNG Finite-size scaling Detailed treatment: Lectures on Phase Transitions and the Renormalization

More information

Critical Region of the QCD Phase Transition

Critical Region of the QCD Phase Transition Critical Region of the QCD Phase Transition Mean field vs. Renormalization group B.-J. Schaefer 1 and J. Wambach 1,2 1 Institut für Kernphysik TU Darmstadt 2 GSI Darmstadt 18th August 25 Uni. Graz B.-J.

More information

Ising Model and Renormalization Group

Ising Model and Renormalization Group Ising Model and Renormalization Group Felix Johannes Behrens April 24, 2018 Abstract This paper sums up the talk I gave in the Statistical Physics seminar by Prof. A. Mielke. The aim of this paper is to

More information

Ginzburg-Landau Theory of Type II Superconductors

Ginzburg-Landau Theory of Type II Superconductors Ginzburg-Landau Theory of Type II Superconductors This interesting application of quantum field theory is reviewed by B. Rosenstein and D. Li, Ginzburg-Landau theory of type II superconductors in magnetic

More information

III. The Scaling Hypothesis

III. The Scaling Hypothesis III. The Scaling Hypothesis III.A The Homogeneity Assumption In the previous chapters, the singular behavior in the vicinity of a continuous transition was characterized by a set of critical exponents

More information

DR.RUPNATHJI( DR.RUPAK NATH )

DR.RUPNATHJI( DR.RUPAK NATH ) 11 Perturbation Theory and Feynman Diagrams We now turn our attention to interacting quantum field theories. All of the results that we will derive in this section apply equally to both relativistic and

More information

Chap.9 Fixed points and exponents

Chap.9 Fixed points and exponents Chap.9 Fixed points and exponents Youjin Deng 09.1.0 The fixed point and its neighborhood A point in the parameter space which is invariant under will be called a fixed point R s R μ* = μ * s μ * λ = We

More information

f(t,h) = t 2 g f (h/t ), (3.2)

f(t,h) = t 2 g f (h/t ), (3.2) Chapter 3 The Scaling Hypothesis Previously, we found that singular behaviour in the vicinity of a second order critical point was characterised by a set of critical exponents {α,β,γ,δ, }. These power

More information

Ginzburg-Landau Theory of Phase Transitions

Ginzburg-Landau Theory of Phase Transitions Subedi 1 Alaska Subedi Prof. Siopsis Physics 611 Dec 5, 008 Ginzburg-Landau Theory of Phase Transitions 1 Phase Transitions A phase transition is said to happen when a system changes its phase. The physical

More information

Renormalization group and critical properties of Long Range models

Renormalization group and critical properties of Long Range models Renormalization group and critical properties of Long Range models Scuola di dottorato in Scienze Fisiche Dottorato di Ricerca in Fisica XXV Ciclo Candidate Maria Chiara Angelini ID number 1046274 Thesis

More information

Collective behavior, from particles to fields

Collective behavior, from particles to fields 978-0-51-87341-3 - Statistical Physics of Fields 1 Collective behavior, from particles to fields 1.1 Introduction One of the most successful aspects of physics in the twentieth century was revealing the

More information

Magnetism at finite temperature: molecular field, phase transitions

Magnetism at finite temperature: molecular field, phase transitions Magnetism at finite temperature: molecular field, phase transitions -The Heisenberg model in molecular field approximation: ferro, antiferromagnetism. Ordering temperature; thermodynamics - Mean field

More information

Introduction to the Renormalization Group

Introduction to the Renormalization Group Introduction to the Renormalization Group Gregory Petropoulos University of Colorado Boulder March 4, 2015 1 / 17 Summary Flavor of Statistical Physics Universality / Critical Exponents Ising Model Renormalization

More information

The Phase Transition of the 2D-Ising Model

The Phase Transition of the 2D-Ising Model The Phase Transition of the 2D-Ising Model Lilian Witthauer and Manuel Dieterle Summer Term 2007 Contents 1 2D-Ising Model 2 1.1 Calculation of the Physical Quantities............... 2 2 Location of the

More information

Non-equilibrium phase transitions

Non-equilibrium phase transitions Non-equilibrium phase transitions An Introduction Lecture III Haye Hinrichsen University of Würzburg, Germany March 2006 Third Lecture: Outline 1 Directed Percolation Scaling Theory Langevin Equation 2

More information

Collective Effects. Equilibrium and Nonequilibrium Physics

Collective Effects. Equilibrium and Nonequilibrium Physics 1 Collective Effects in Equilibrium and Nonequilibrium Physics: Lecture 2, 24 March 2006 1 Collective Effects in Equilibrium and Nonequilibrium Physics Website: http://cncs.bnu.edu.cn/mccross/course/ Caltech

More information

x(τ) y(τ) = x(τ) f(τ), where f(τ) is the solution of the variational equation δs(f) = 0 f(τ) = 0

x(τ) y(τ) = x(τ) f(τ), where f(τ) is the solution of the variational equation δs(f) = 0 f(τ) = 0 Calculation of the path integral We have introduced the formal concept of path integral. The importance of the concept is that path integrals can often be calculated without referring to a limiting process,

More information

II.D Scattering and Fluctuations

II.D Scattering and Fluctuations II.D Scattering and Fluctuations In addition to bulk thermodynamic experiments, scattering measurements can be used to probe microscopic fluctuations at length scales of the order of the probe wavelength

More information

Lec. 14: Momentum-space renormalization group. This is a perturbative way to obtain exponents as a power series in ɛ, where d = 4 ɛ.

Lec. 14: Momentum-space renormalization group. This is a perturbative way to obtain exponents as a power series in ɛ, where d = 4 ɛ. PHYSICS 653 Lec. 2.7: Momentum-space R.G. P.1 Lec. 14: Momentum-space renormalization group A. Overview of the ɛ expansion This is a perturbative way to obtain exponents as a power series in ɛ, where d

More information

Spin Models and Gravity

Spin Models and Gravity Spin Models and Gravity Umut Gürsoy (CERN) 6th Regional Meeting in String Theory, Milos June 25, 2011 Spin Models and Gravity p.1 Spin systems Spin Models and Gravity p.2 Spin systems Many condensed matter

More information

Ising model and phase transitions

Ising model and phase transitions Chapter 5 Ising model and phase transitions 05 by Alessandro Codello 5. Equilibrium statistical mechanics Aspinsystemisdescribedbyplacingaspinvariableσ i {, } at every site i of a given lattice. A microstate

More information

Quantum Phase Transitions

Quantum Phase Transitions Quantum Phase Transitions Subir Sachdev Department of Physics Yale University P.O. Box 208120, New Haven, CT 06520-8120 USA E-mail: subir.sachdev@yale.edu May 19, 2004 To appear in Encyclopedia of Mathematical

More information

Metropolis Monte Carlo simulation of the Ising Model

Metropolis Monte Carlo simulation of the Ising Model Metropolis Monte Carlo simulation of the Ising Model Krishna Shrinivas (CH10B026) Swaroop Ramaswamy (CH10B068) May 10, 2013 Modelling and Simulation of Particulate Processes (CH5012) Introduction The Ising

More information

NETADIS Kick off meeting. Torino,3-6 february Payal Tyagi

NETADIS Kick off meeting. Torino,3-6 february Payal Tyagi NETADIS Kick off meeting Torino,3-6 february 2013 Payal Tyagi Outline My background Project: 1) Theoretical part a) Haus master equation and Hamiltonian b) First steps: - Modelling systems with disordered

More information

Numerical Analysis of 2-D Ising Model. Ishita Agarwal Masters in Physics (University of Bonn) 17 th March 2011

Numerical Analysis of 2-D Ising Model. Ishita Agarwal Masters in Physics (University of Bonn) 17 th March 2011 Numerical Analysis of 2-D Ising Model By Ishita Agarwal Masters in Physics (University of Bonn) 17 th March 2011 Contents Abstract Acknowledgment Introduction Computational techniques Numerical Analysis

More information

arxiv:cond-mat/ v1 2 Mar 1997

arxiv:cond-mat/ v1 2 Mar 1997 1/N Expansion for Critical Exponents of Magnetic Phase Transitions in CP N 1 Model at 2 < d < 4 V.Yu.Irkhin, A.A.Katanin and M.I.Katsnelson Institute of Metal Physics, 620219 Ekaterinburg, Russia Critical

More information

arxiv:cond-mat/ v2 [cond-mat.stat-mech] 28 Sep 1998

arxiv:cond-mat/ v2 [cond-mat.stat-mech] 28 Sep 1998 EPJ manuscript No. will be inserted by the editor arxiv:cond-mat/9877v [cond-mat.stat-mech] 8 Sep 1998 Non-equilibrium critical behavior of On-symmetric systems Effect of reversible mode-coupling terms

More information

Clusters and Percolation

Clusters and Percolation Chapter 6 Clusters and Percolation c 2012 by W. Klein, Harvey Gould, and Jan Tobochnik 5 November 2012 6.1 Introduction In this chapter we continue our investigation of nucleation near the spinodal. We

More information

The Quantum Theory of Finite-Temperature Fields: An Introduction. Florian Divotgey. Johann Wolfgang Goethe Universität Frankfurt am Main

The Quantum Theory of Finite-Temperature Fields: An Introduction. Florian Divotgey. Johann Wolfgang Goethe Universität Frankfurt am Main he Quantum heory of Finite-emperature Fields: An Introduction Florian Divotgey Johann Wolfgang Goethe Universität Franfurt am Main Fachbereich Physi Institut für heoretische Physi 1..16 Outline 1 he Free

More information

8.334: Statistical Mechanics II Problem Set # 4 Due: 4/9/14 Transfer Matrices & Position space renormalization

8.334: Statistical Mechanics II Problem Set # 4 Due: 4/9/14 Transfer Matrices & Position space renormalization 8.334: Statistical Mechanics II Problem Set # 4 Due: 4/9/14 Transfer Matrices & Position space renormalization This problem set is partly intended to introduce the transfer matrix method, which is used

More information

Linear excitations and domain walls

Linear excitations and domain walls and domain walls Alessandro Vindigni Laboratorium für Festkörperphysik, ETH Zürich ETH November 26, 2012 Lecture plan Real systems Lecture plan 1. Atomic magnetism (Pescia) 2. Magnetism in solids (Pescia)

More information

Title of communication, titles not fitting in one line will break automatically

Title of communication, titles not fitting in one line will break automatically Title of communication titles not fitting in one line will break automatically First Author Second Author 2 Department University City Country 2 Other Institute City Country Abstract If you want to add

More information

S j H o = gµ o H o. j=1

S j H o = gµ o H o. j=1 LECTURE 17 Ferromagnetism (Refs.: Sections 10.6-10.7 of Reif; Book by J. S. Smart, Effective Field Theories of Magnetism) Consider a solid consisting of N identical atoms arranged in a regular lattice.

More information

Monte Carlo tests of theoretical predictions for critical phenomena: still a problem?

Monte Carlo tests of theoretical predictions for critical phenomena: still a problem? Computer Physics Communications 127 (2) 126 13 www.elsevier.nl/locate/cpc Monte Carlo tests of theoretical predictions for critical phenomena: still a problem? K. Binder, E. Luijten Johannes-Gutenberg-Universität,

More information

Mesoscale Simulation Methods. Ronojoy Adhikari The Institute of Mathematical Sciences Chennai

Mesoscale Simulation Methods. Ronojoy Adhikari The Institute of Mathematical Sciences Chennai Mesoscale Simulation Methods Ronojoy Adhikari The Institute of Mathematical Sciences Chennai Outline What is mesoscale? Mesoscale statics and dynamics through coarse-graining. Coarse-grained equations

More information

3 Classical phase transitions

3 Classical phase transitions 3 Classical phase transitions Given the motivation outlined in Chapter, we will begin by discussing phase transitions in the context of classical statistical mechanics. This is a vast subject, and the

More information

Introduction to Renormalization

Introduction to Renormalization Introduction to Renormalization with Applications in Condensed-Matter and High-Energy Physics Institute for Theoretical Physics, University of Cologne Lecture course, winter term 2017/2018 Michael M. Scherer

More information

Ginzburg-Landau Phenomenology

Ginzburg-Landau Phenomenology Chapter Ginzburg-Landau Phenomenology The divergence of the correlation length in the vicinity of a second-order phase transition indicates that the properties of the critical point are insensitive to

More information

Phase transitions beyond the Landau-Ginzburg theory

Phase transitions beyond the Landau-Ginzburg theory Phase transitions beyond the Landau-Ginzburg theory Yifei Shi 21 October 2014 1 Phase transitions and critical points 2 Laudau-Ginzburg theory 3 KT transition and vortices 4 Phase transitions beyond Laudau-Ginzburg

More information

Chapter 15. Landau-Ginzburg theory The Landau model

Chapter 15. Landau-Ginzburg theory The Landau model Chapter 15 Landau-Ginzburg theory We have seen in Chap. 6.1 that Phase transitions are caused most of the time by the interaction between particles, with an expectation being the Bose-Einstein condensation

More information

Phase Transitions. µ a (P c (T ), T ) µ b (P c (T ), T ), (3) µ a (P, T c (P )) µ b (P, T c (P )). (4)

Phase Transitions. µ a (P c (T ), T ) µ b (P c (T ), T ), (3) µ a (P, T c (P )) µ b (P, T c (P )). (4) Phase Transitions A homogeneous equilibrium state of matter is the most natural one, given the fact that the interparticle interactions are translationally invariant. Nevertheless there is no contradiction

More information

The glass transition as a spin glass problem

The glass transition as a spin glass problem The glass transition as a spin glass problem Mike Moore School of Physics and Astronomy, University of Manchester UBC 2007 Co-Authors: Joonhyun Yeo, Konkuk University Marco Tarzia, Saclay Mike Moore (Manchester)

More information

Monte Carlo study of the Baxter-Wu model

Monte Carlo study of the Baxter-Wu model Monte Carlo study of the Baxter-Wu model Nir Schreiber and Dr. Joan Adler Monte Carlo study of the Baxter-Wu model p.1/40 Outline Theory of phase transitions, Monte Carlo simulations and finite size scaling

More information

Langevin Methods. Burkhard Dünweg Max Planck Institute for Polymer Research Ackermannweg 10 D Mainz Germany

Langevin Methods. Burkhard Dünweg Max Planck Institute for Polymer Research Ackermannweg 10 D Mainz Germany Langevin Methods Burkhard Dünweg Max Planck Institute for Polymer Research Ackermannweg 1 D 55128 Mainz Germany Motivation Original idea: Fast and slow degrees of freedom Example: Brownian motion Replace

More information

Notes on Renormalization Group: Introduction

Notes on Renormalization Group: Introduction Notes on Renormalization Group: Introduction Yi Zou (Dated: November 19, 2015) We introduce brief istory for te development of renormalization group (RG) in pysics. Kadanoff s scaling ypoteis is present

More information

REVIEW REVIEW. Quantum Field Theory II

REVIEW REVIEW. Quantum Field Theory II Quantum Field Theory II PHYS-P 622 Radovan Dermisek, Indiana University Notes based on: M. Srednicki, Quantum Field Theory Chapters: 13, 14, 16-21, 26-28, 51, 52, 61-68, 44, 53, 69-74, 30-32, 84-86, 75,

More information

Quantum Field Theory II

Quantum Field Theory II Quantum Field Theory II PHYS-P 622 Radovan Dermisek, Indiana University Notes based on: M. Srednicki, Quantum Field Theory Chapters: 13, 14, 16-21, 26-28, 51, 52, 61-68, 44, 53, 69-74, 30-32, 84-86, 75,

More information

Decimation Technique on Sierpinski Gasket in External Magnetic Field

Decimation Technique on Sierpinski Gasket in External Magnetic Field Egypt.. Solids, Vol. (), No. (), (009 ) 5 Decimation Technique on Sierpinski Gasket in External Magnetic Field Khalid Bannora, G. Ismail and M. Abu Zeid ) Mathematics Department, Faculty of Science, Zagazig

More information

Physics 7240: Advanced Statistical Mechanics Lecture 4: Field Theory Primer. Abstract

Physics 7240: Advanced Statistical Mechanics Lecture 4: Field Theory Primer. Abstract Physics 7240: Advanced Statistical Mechanics Lecture 4: Field Theory Primer Leo Radzihovsky (Dated: October 11, 2017) Abstract In these lecture notes, starting with a review of ordinary Gaussian integrals,

More information

VIII.B Equilibrium Dynamics of a Field

VIII.B Equilibrium Dynamics of a Field VIII.B Equilibrium Dynamics of a Field The next step is to generalize the Langevin formalism to a collection of degrees of freedom, most conveniently described by a continuous field. Let us consider the

More information

Manifestly diffeomorphism invariant classical Exact Renormalization Group

Manifestly diffeomorphism invariant classical Exact Renormalization Group Manifestly diffeomorphism invariant classical Exact Renormalization Group Anthony W. H. Preston University of Southampton Supervised by Prof. Tim R. Morris Talk prepared for Asymptotic Safety seminar,

More information

Lecture 11: Long-wavelength expansion in the Neel state Energetic terms

Lecture 11: Long-wavelength expansion in the Neel state Energetic terms Lecture 11: Long-wavelength expansion in the Neel state Energetic terms In the last class we derived the low energy effective Hamiltonian for a Mott insulator. This derivation is an example of the kind

More information

SCALING LAWS FOR ISING MODELS NEAR Tc

SCALING LAWS FOR ISING MODELS NEAR Tc Physics Vol. 2, No. 6, pp. 263-272, 1966. Physics Publishing Co. Printed in Great Britain. SCALING LAWS FOR ISING MODELS NEAR Tc LEO P. KADANOFF t Department of Physics, University of Illinois Urban a,

More information

Quantum and classical annealing in spin glasses and quantum computing. Anders W Sandvik, Boston University

Quantum and classical annealing in spin glasses and quantum computing. Anders W Sandvik, Boston University NATIONAL TAIWAN UNIVERSITY, COLLOQUIUM, MARCH 10, 2015 Quantum and classical annealing in spin glasses and quantum computing Anders W Sandvik, Boston University Cheng-Wei Liu (BU) Anatoli Polkovnikov (BU)

More information

Mean-field theory. Alessandro Vindigni. ETH October 29, Laboratorium für Festkörperphysik, ETH Zürich

Mean-field theory. Alessandro Vindigni. ETH October 29, Laboratorium für Festkörperphysik, ETH Zürich Alessandro Vindigni Laboratorium für Festkörperphysik, ETH Zürich ETH October 29, 2012 Lecture plan N-body problem Lecture plan 1. Atomic magnetism (Pescia) 2. Magnetism in solids (Pescia) 3. Magnetic

More information

Diagrammatic Green s Functions Approach to the Bose-Hubbard Model

Diagrammatic Green s Functions Approach to the Bose-Hubbard Model Diagrammatic Green s Functions Approach to the Bose-Hubbard Model Matthias Ohliger Institut für Theoretische Physik Freie Universität Berlin 22nd of January 2008 Content OVERVIEW CONSIDERED SYSTEM BASIC

More information

Onsager theory: overview

Onsager theory: overview Onsager theory: overview Pearu Peterson December 18, 2006 1 Introduction Our aim is to study matter that consists of large number of molecules. A complete mechanical description of such a system is practically

More information

The Mermin-Wagner Theorem

The Mermin-Wagner Theorem June 24, 2010 Conclusion In one and two dimensions, continuous symmetries cannot be spontaneously broken at finite temperature in systems with sufficiently short-range interactions. Contents 1 How symmetry

More information

Lecture Models for heavy-ion collisions (Part III): transport models. SS2016: Dynamical models for relativistic heavy-ion collisions

Lecture Models for heavy-ion collisions (Part III): transport models. SS2016: Dynamical models for relativistic heavy-ion collisions Lecture Models for heavy-ion collisions (Part III: transport models SS06: Dynamical models for relativistic heavy-ion collisions Quantum mechanical description of the many-body system Dynamics of heavy-ion

More information

1 The Quantum Anharmonic Oscillator

1 The Quantum Anharmonic Oscillator 1 The Quantum Anharmonic Oscillator Perturbation theory based on Feynman diagrams can be used to calculate observables in Quantum Electrodynamics, like the anomalous magnetic moment of the electron, and

More information

arxiv:cond-mat/ v1 [cond-mat.stat-mech] 25 Feb 2002

arxiv:cond-mat/ v1 [cond-mat.stat-mech] 25 Feb 2002 arxiv:cond-mat/0202416v1 [cond-mat.stat-mech] 25 Feb 2002 Longitudinal and transversal Greens functions in ϕ 4 model below and near the critical point J. Kaupužs Institute of Mathematics and Computer Science,

More information

Final reading report: BPHZ Theorem

Final reading report: BPHZ Theorem Final reading report: BPHZ Theorem Wang Yang 1 1 Department of Physics, University of California at San Diego, La Jolla, CA 92093 This reports summarizes author s reading on BPHZ theorem, which states

More information

Review of scalar field theory. Srednicki 5, 9, 10

Review of scalar field theory. Srednicki 5, 9, 10 Review of scalar field theory Srednicki 5, 9, 10 2 The LSZ reduction formula based on S-5 In order to describe scattering experiments we need to construct appropriate initial and final states and calculate

More information