Ising model and phase transitions
|
|
- Bryan Morgan
- 6 years ago
- Views:
Transcription
1 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 is defined by a spin configuration {σ i }, which specifies the values of the spins of every lattice site. The (canonical) probability to observe the system in the spin configuration {σ i } is given by the Gibbs Boltzmann weight: gibbs boltzmann distribution and partition function p {σi } = e βe {σ i } Z, (5.) where E {σi } is the energy of the given configuration. The (canonical) partition function Z appearing in (5.) is defined by: Z(β,B)= {σ i } e βe {σ i}, (5.) and in general depends on the inverse temperature β =/T and the external magnetic field B. Averages are computed as usual: O = {σ i } p {σi }O {σi }. We will measure the temperature in units of the Boltzmann constant, which can be reintroduced at any moment by the replacement T k B T. 6
2 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 63 As we will see in a moment, the knowledge of the partition function is the key to all thermodynamical quantities. We need now to specify the form of E {σi } for a given spin configuration. definition Nearest neighbor interactions are assumed so that the energy of a given of the spin configuration is given by ising model E {σi } = J ij σ i σ j σ i B i. (5.3) i,j i J ij is the spin interaction matrix strength and B i is the external applied magnetic field (it most cases it can be considered constant B i = B). If J>0 the interaction is ferromagnetic while it is antiferromagnetic if J<0. The energy (5.3) defines the model known as Ising model. The free energy F can be obtained from the partition function (5.) using free the following relation: energy, internal F (β,b)= log Z(β,B). (5.4) β The internal energy E and the entropy S are related to the free energy by the usual thermodynamic relation: F = E TS. (5.5) In particular, the internal energy and the specific heat can be obtained directly from the partition function (5.) by employing the following relations: E = β log Z = (βf) (5.6) β C = E T where used T = β β.thetotalmagnetization = β E β. (5.7) energy, entropy, specific heat, magnetization and susceptibility M = i σ i = N σ i Nm They are actually the more general, if we add a constant term, since the spins are fermions!
3 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 64 can also be computed from the partition function: while the susceptibility is determined/defined by: χ = N M = F B, (5.8) M B = N F B. (5.9) We will work with intensive variables, or equivalently, per spin variables: f = F N m = M N for which we have f = log Z and βn ɛ = β (βf) ɛ c = β β ɛ = E N m = f B c = C N, (5.0) χ = m B. (5.) From (5.5) one can find the entropy per spin s = ɛ f. Using = T T β T we can also write the internal energy and the specific heat as: ɛ = T ( ) T T f c = ɛ T. (5.) The computation of f,ɛ,c,m,χ and s is the main goal of the study of equilibrium spin systems. 5.. Fluctuations and correlations It s useful to define the generating function from which we find: W B W (β,b) = log Z(β,B)= βf(β,b), = β [ M M ] = β F B = βn f B. This last quantity is proportional to the magnetic susceptibility, susceptibility and specific heat as a measure of fluctuations χ = f B.
4 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 65 which plays thus the role of magnetic variance 3 since: χt = N [ M M ]. (5.3) Thus the susceptibility measures the relative size of magnetization fluctuations around the average. The specific heat is instead the energy variance: W β = E E = β E = β C, which measures the size of internal energy fluctuations around the average: ct = N [ E E ]. (5.4) From relation (5.3) and (5.4) we expect that at a phase transition, where fluctuations are large and on all scales, both the susceptibility and the specific heat will diverge. We will soon see that this is indeed the case. The two point spin connected correlation function is: C ij = σ i σ j σ i σ j = σ i σ j m = (σ i σ i )(σ j σ j ). (5.5) This correlation function can be obtained from the generating function W if we promote the magnetic field to be space dependent B B i : C ij = β W B i B j. (5.6) Obviously W then becomes the generating function of spin connected correlation functions. The two point connected correlation is obviously related to thesusceptibility since both are derived from W by derivatives with respect to the magnetic field. This relation is obtained as follows: C ij = [ σ i σ j σ i σ j ] ij ij = σ i σ j σ i σ j i j i j = M M = NTχ. (5.7) 3 The magnetic kurtosis is the so called Binder cumulant. correlation function
5 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 66 Changing variables to r = i j gives ij C ij = N r C(r) and we find the sum rule: χ = C(r). (5.8) T We will use relations (5.3) and (5.8) in the following to make precise quantitative statements about the strength/weakness of fluctuations and to derive scaling relations between critical exponents. 5. Mean field theory The mean field approach consists in discarding fluctuations, and thus, as we will see it is quantitatively correct only above the upper critical dimension. The assumption of the mean field approach is that fluctuations around the average are small. Stillitoftengivesaqualitativelycorrectpicture of the phase diagram. In the Ising model, the mean field approximation is implemented by linearizing the interaction between two near spins: σ i σ j = [σ i σ i + σ i ][σ j σ j + σ j ] r = σ i σ j +[σ i σ i ] σ j +[σ j σ j ] σ i + [σ i σ i ][σ j σ j ] }{{} small m i m j + m i [σ j m]+m j [σ i m i ] = m i m j + σ i m j + m i σ j, (5.9) where σ i = m i and we discarded the quadratic fluctuation term since we are assuming that the fluctuation are small. If the external magnetic field is constant then m i m for every i due to translation invariance and the the energy of a spin configuration becomes simply: mean field theory weak fluctuations E{σ MF i } = J [ m + m (σ i + σ j ) ] B i,j i σ i = m J Nz (Jzm + B) i σ i, (5.0) where we used the fact that there are Nz nearest neighbors on a lattice (z is the coordination number) and that i,j σ i = z i σ i. For a square lattice
6 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 67 we have z =d and in general the coordination number is proportional to the dimension. In this approximation the net effect of the spin interactionis to shift the external magnetic field to the value Jmz + B. The partition function is easily evaluated: Z MF = {σ i } e βemf {σ i } = e βm J Nz = e βm J Nz {σ i } {σ i } e β(jzm+b) i σ i i e β(jzm+b)σ i = e βm J Nz {cosh[β (Jzm + B)]} N. Thus the free energy per spin f MF = βn log ZMF is: mean field free energy f MF = m J z log cosh [β (Jzm + B)]. (5.) β Note that this relation is valid for any lattice in arbitrary dimension. 5.. Mean field phase diagram To find the equilibrium value for the magnetization per spin weneedtofind the minimum of the free energy: [ ] f MF Tc =0 m(t,b)=tanh m T m(t,b)+b, (5.) T where we defined the mean field critical temperature T c = Jz. For B =0 is easy to see that there is a phase transition at T = T c by studying the solutions of: m =tanh T c m, (5.3) T which can be found graphically as shown in Figure 5.. Near T c the magnetization is small and we can expand equation (5.0) to obtain 4 4 tanh x = x x m = T c T m T 3 c 3T 3 m3 + O ( m 4), mean field phase diagram: phase transition
7 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 68 Figure 5.: Graphical solution to equation (5.3) at B =0.FromtopT<T c, T = T c and T>T c.fort<t c the system has a spontaneous magnetization. and so 0 T T c m ± = ( ) 3 T T ± 3 c ± T c 3( t) / T T T c where we defined the reduced temperature t = T T c. Theorderparameter is m and at the second order phase transition behaves thus as: m ± ±( t) / T T c t 0. (5.4) in the mean field ap- Thus the magnetization critical exponent is β MF = proximation. At criticality the magnetization as a function of the external magnetic field can be written in the following way: m(t c,b) = m(t c,b)+ B T c 3 = m + B T c 3 m ( m(t c,b)+ B T c )
8 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 69 Figure 5.: Mean field per spin magnetization for the Ising model.
9 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 70 from which we find: ( ) 3 B 3 m(t c,b)=sign(b) sign(b) B δ. (5.5) This gives the mean field magnetic exponent δ MF =3. It s easy now to compute the susceptibility: χ(t,b)= m B = T T c cosh ( m Tc T Around the critical point we find using (5.4): { 4 T T c thus χ ± (t, 0) = T c T + B T T T + c T T c ) T c T. (5.6) χ ± (t, 0) χ ± t t 0 ±. (5.7) This gives the mean field susceptibility critical exponent γ MF =and the mean field amplitude ratio χ + /χ =.Notethatthefactthatthesusceptibility diverges at the critical point means that the magnetic variancediverges. Next we compute the energy per spin; we find simply: ɛ = (βf) β = Jz m. The specific heat per spin is not well defined in the mean field approximation (in particular it is not divergent at the critical point), but it usually assumed/defined that α MF = Correlation function If we want to compute the correlation function we need to relax theassumption of constant magnetic field in order to use (5.6). In this case the partition function turns out to be: Z MF = {σ i } e βj i,j [ m im j +σ i m j +m i σ j ]+β i B iσ i = e βj i,j m im j e βj i,j [σ im j +m i σ j ]+β i B iσ i. (5.8) {σ i } computing the mean correlation function
10 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 7 We need now to evaluate the sums: {σ i } e βj i,j [σimj+miσj]+βb i σi = {σ i } e βj i,j σ im j +β B i σ i = {σ i } e β i σ i[j j(i) m j+b i] = i coshβ J m j + B i, j(i) where j(i) are the nearest neighbors of i. Thefreeenergyisthus: f MF = J m i m j log cosh β J m j + B i. (5.9) N βn j(i) i,j Minimizing the free energy leads to: i m i =tanh β J m j + B i, (5.30) j(i) where we used: and m k δ jk = δ ik j(i) i,j m i m j = i,j m i δ jk = i m i δ jk = m k. The average magnetic field felt by a spin σ i is now J j(i) m j + B i ;equation (5.30) reduces to (5.) when m i is constant since j(i) =z. To compute the correlation function using (5.6) we need to determine the solutions of (5.30) to linear order in the external magnetic field. Since we areinterested in the critical region, we can assume that also the magnetization is small and expand the hyperbolic tangent to first order: j(i) βj j(i) m j + m i = βb i. (5.3)
11 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 7 To solve (5.3) we perform a Fourier transform: βjm k cosk a + m k = βb k, (5.3) a where a =,..., d runs over the basis vectors of the lattice. We find: which gives 5 : m k = m i =Ω BZ T J a cosk B k, a d d k (π) d e ixi k T J a cosk B k. a This expression is IR divergent when T = T c since: J a cosk a = Jz + J a k a +... = T c + J a k a +... Finally, since C ij = m i B j,thecorrelatornearthecriticalpointcanbewritten as (on a hyper-cubical lattice): C(r = r ) = d d k e ir k T c (π) d t + z a ( cos k a), (5.33) where t = T T c is the reduced temperature. At large r we can write 6 : C(r) T c = T c (π) d T c (π) d d d k e ir k (π) d t + k ( ) d t K d r ( tr) ( ) d t π r tr e tr. (5.34) The correlation length is the inverse lattice mass ξ =/m and thus from (5.34) we see that at the critical point it diverges like: 5 m i m(x i ). 6 K n (x) is a Bessel function. ξ = t / t ν. (5.35)
12 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 73 The mean field correlation length critical exponent is thus ν MF =. Exactly at the critical point we find instead: C(r) r, (5.36) d rd +η telling us that the mean field anomalous dimension is η MF =0. Finally the mean field critical exponents are: α MF =0 β MF = δ MF =3 ν MF = γ MF = η MF =0. (5.37) mean field critical exponents To understand the quantitative validity of the mean field approximation we need to understand the quantitative meaning of weak fluctuations assumption Ginzburg criterion The Ginzburg criterion establishes when the mean field analysis is valid, i.e. under which conditions fluctuations are small. We start from: M M M, which is equivalent to NTχ M. At criticality fluctuations are on all scales and we have (for t 0 ): the ginzburg criterion and upper critical dimension ξ t ν M ( t) β L d Nχ ( t) γ L d. Thus, setting ξ = L, wefind: T ( t) γ ξ d ( t) β ξ d, or T ( t) γ β+νd,
13 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 74 which may happen when γ β + νd > 0 or: γ +β <d, ν which is the Ginzburg criterion. If we insert the mean field exponents we find d>4. Thus the mean field predictions are valid in dimensions greater than four, which for this reason is called upper critical dimension d c = Solving the Ising model In this section we explore the Ising model in dimensions below the upper critical dimension d c =4,wheretheGinzburgcriterionshowsthatthemean field approach is unable to describe the phase transition quantitatively. Fortunately in both d =and d =it is possible to solve the Ising model exactly. These solutions are invaluable models characterized by non mean field phase transitions d Ising model In one dimension the partition function for the Ising model can be rewritten as follows Z = {σ i } e βj N i= σ iσ i+ +βb N i= (σ i+σ i+ ) the transfer matrix approach = {σ i } N e β[jσ iσ i+ + B (σ i+σ i+ )] i= = {σ i } T σ σ...t σn σ = tr T N, (5.38) where we introduced the transfer matrix ( e β(j+b) e T = βj e βj e β(j B) ). (5.39) By diagonalizing (5.39) we can write the partition function in terms of the eigenvalues of the transfer matrix: ( ) N λ+ 0 Z = tr = λ N + + λ N, 0 λ
14 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 75 Figure 5.3: Ising spins on a one dimensional infinite lattice. where ) λ ± = e (cosh βj βb ± sinh βb + e 4βJ. Note that we have λ + >λ. The free energy is thus given by the following expression: { [ ) ]} N F = β log Z = β N log λ + + log + ( λ in the thermodynamic limit N only the contribution from λ + survives and we find the following free energy per spin: ) (cosh BT sinh + BT + e 4J/T f(t,b)= J T log In the case of zero magnetic field we have simply f(t,0) = J + T log ( +e J/T) = T log T log cosh T. We can easily calculate the magnetization per spin: m(t,b)= f B = λ + sinh B T sinh BT + e 4J/T. Since the hyperbolic sine is zero in the origin there is no spontaneous magnetization at B =0.Thesusceptibilityis χ(t,b)= m B = e 4J/T cosh B T T ( sinh B T + e 4J/T) 3/, while the energy per spin and the specific heat are: ɛ(t,b)= (βf) β = J tanh J T,.
15 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 76 Figure 5.4: Exact (per spin) thermodynamic functions for thed Ising model. From top: f,ɛ,c,s,m,χ; leftcolumnasafunctionoft,rightcolumnasa function of B.
16 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 77 c(t,b)= ɛ T β = J sech J T. T We can also calculate correlation functions. The magnetization is: σ i = σ i e βe {σ i } Z where {σ i } = T σ σ Z T σi σ i σ i T σi σ i+ T σn σ {σ i } = Z trti σ z T N i+ = Z trtn σ z, σ z = ( 0 0 When B =0the diagonalizing matrix is U = σ i = Z tr ( λ N λ N )( 0 0 ) ). ( = Z tr ( 0 λ N + λ N 0 ) and we find: ) =0, as expected. The correlation function can be calculated in a similar way: σ i σ i+r = Z trtn r σ z T r σ z = Z tr ( λ N r λ N r = λn r + λ r + λr + λn r λ N + + λ N )( 0 0 )( λ r λ r )( 0 0 ) Thus we have: ( λ λ + ) r. where the correlation length is: C(r) = σ i σ i+r = e r/ξ, ξ(t,0) = log tanh βj.
17 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 78 Figure 5.5: Exact (per spin) thermodynamic functions for thed Ising model. From top: f,ɛ,c,s,m,χ; thecolorcodeisconsistentwiththepreviousfigure.
18 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 79 We can also consider the limit r where C(r) 0, showing again that there is no spontaneous magnetization. The critical exponents for the one dimensional Ising model are: α d= = β d= =0 γ d= = δ d= = ν d= = η d= =. These clearly differ from the mean field ones. Note that the Ginzburg inequality is violated but saturated since γ+β ν =. critical exponents for the d = ising model 5.3. d Ising model The exact zero field free energy for the square lattice Ising model was found for the first time by L.Onsager using algebraic methods. The zero field free energy can be exactly computed for square, triangular and hexagonal lattices; the result is: f(t,0) = Tplog T where the argument of the logarithms is: P S (T,k) = cosh J T P T (T,k) = cosh 3 J P H (T,k) = sinh J T (cos k +cosk ) d k log P (T,k), (5.40) (π) T + J J sinh3 sinh T T (cos k +cosk +cosk 3 ) [ ] +cosh 3 J T J sinh T (cos k +cosk +cosk 3 ), for, respectively, square, triangular and hexagonal lattices. p is the number of sites in a unit cell of the lattice, which is one for the square and triangular lattices and two for the hexagonal lattice. onsager s solution The argument of the logarithm is always positive except for k =0in which a critical singularity occurs. This singularity corresponds to the phase transition, thus temperature the critical temperature is the solution of: P (T c, 0) = 0.
19 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 80 We find, respectively, the following equations: cosh 3 J T T c cosh J T S c + sinh 3 J T T c +cosh 3 J T H c sinh J T S c 3 sinh J T T c 3 sinh J T H c = 0 = 0 = 0, which give the following critical temperatures: Tc S = log(+ J ) =.699 J (5.4) Tc T = log J 3 = J (5.4) Tc H = log(+ J 3) =.5865 J, (5.43) which may be compared with the mean field result Tc MF = zj.thecritical temperature (5.4) was first found by Kramer and Wannier using duality arguments. Since the free energy diverges logarithmically we have α d= =0 in all three cases. We can now compute the per spin internal energy and the specificheatusing internal equation (5.): energy ɛ(t,0) = T d k P(T,k) (π) P (T,k) T (5.44) and c(t,0) = ɛ(t,0) + T [ ] d k P (T,k) P(T,k). T (π) P (T,k) T P (T,k) T (5.45) The three thermodynamic functions f,ɛ,c are shown in Figure 5.6. and specific heat Onsager and Yang were also able to determine the spontaneous magneti- magnetization zation exactly:
20 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 8 3 Square Lattice 3 Triangular Lattice 3 Hexagonal Lattice Figure 5.6: Per spin free energy (bottom), internal energy (middle) and specific heat (top) for the d Ising model on a square, triangular and hexagonal lattices.
21 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS m Figure 5.7: Spontaneous magnetization per spin for the d Ising model on a square (middle), triangular (right) and hexagonal (left) lattices. T m S (T,0) = m T (T,0) = m H (T,0) = [( +e 4J/T ) ( 6e 4J/T + e 8J/T) ( e 4J/T ) 4 [( 3 e 4J/T )( +e 4J/T) 3 ] 8 ( e 4J/T ) 3 (3 + e 4J/T ) [( ) +e 4J/T 3 ( +e 4J/T 4e J/T) ( e J/T ) 6 ( + e J/T ) ] 8 ] 8. These expressions are valid for T<T c and are shown in Figure 5.7. In the case of the square lattice we also have the equivalent simple form: first derived by Yang. m S (T,0) = [ sinh 4 J T ] 8, (5.46) The correlation length is the inverse of the lattice mass. P (T,k) plays the correlation role of the lattice propagator (it is the argument of the log in thefreeenergy) length
22 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS Ξ Figure 5.8: Correlation length for the d Ising model on a square (middle), triangular (right) and hexagonal (left) lattices. T as in the mean field case, thus the mass squared can be defined by writing: [ ] P (T,k) =Z(T ) m (T )+ ( cos k a ), (5.47) z where Z(T ) is a wave function renormalization. From this we can write: or m (T )= ξ(t )= P (T,0, 0) P (T,π/,π/, ) P (T,0, 0) a (5.48) P (T,π/,π/,) P (T,0, 0). (5.49) P (T,0, 0) For the lattices we are considering we find the following results: ξ S (T,0) = log. e J/T +e J/T Note that the argument of the log is e K D tanh K (= at the critical point) or something like this. At the critical point the correlation lengthdiverges
23 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 84 in the following way: giving ν d= =. ξ S ( T S c ( + t), 0 ) = 4 log ( + ) t + regular t + regular. ( ξ T T T c ( + t), 0 ) = 7Arctanh ( 3 ) t + regular ξ H ( T H c ( + t), 0 ) = t + regular 4Arctanh t + regular t + regular, We can expand the magnetization around the critical point finding: m S ( T S c ( + t), 0 ) = m T ( T T c ( + t), 0 ) = [ ( )] [( ) ( log + )] 8 ( t) 8 + regular.4 ( t) 8 + regular. [ ( Arctanh 3 )] ( t) 8 + regular ( m H T H c ( + t), 0 ) = ( + ) [( ( t) 8 + regular. ( t) 8 + regular ) Arccoth ] 8 3 ( t) 8 + regular We thus see that independently of the lattice the order parameter critical exponent is β d= = 8.Thisisaninstanceofuniversality. The knowledge of the two critical exponents α and β allows the determi- critical nation of all the other critical exponents if we assume the validity of the exponents scaling relations (to be proved in the next section): for the α d= =0 β d= = 8 γ d= = 7 4 δ d= =5 ν d= = η d= = 4. d = ising model
24 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 85 AFM vs FM Figure 5.9: Comparison between ferromagnetic and antiferromagnetic thermodynamic quantities for the triangular lattice Ising model. 0.8 Entropy Figure 5.0: The frustrated antiferromagnetic ground state ofthetriangular lattice Ising model has non zero entropy at T =0.
25 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 86 These clearly differ from the mean field ones, in accord with the factthat the Ginzburg inequality is violated (but saturated) since γ+β ν = Anti ferromagnetism and frustration For antiferromagnetic coupling J<0 the triangular lattice Ising model becomes very interesting since it represents the simplest example of frustrated system. There is no phase transition at finite temperature and the model is always disordered, even at T =0where the ground state is frustrated and the system has a non zero entropy. The thermodynamic quantities and the entropy per spin are shown in Figure 5.0. anti ferromagnet and frustration 5.4 Scaling hypothesis A function of one variable is said to be homogeneous if there exist a scaling exponent a such that homogeneous functions f(λ a x)=λf(x) λ>0. It is easy to see that a necessary and sufficient condition for f(x) to be an homogeneous functions that it is a power law. Taking λ = x /a we find: as discussed in the first lecture. f(x) =f(±) x /a, Afunctionofn variables x, y, z,... is homogeneous if there exist scaling exponents a, b, c,.. such that: f(λ a x, λ b y, λ c z,...) =λf(x, y, z,...). In this case we can eliminate one variable by introducing the scaling functions F ± defined as before by setting λ = x /a : ( ) f(x, y, z,...) = x /a y f ±, x, z,... b/a x c/a ( ) y x /a F ± x, z,.... b/a x c/a
26 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 87 In the case of a two variable function the scaling function is afunctionofone data collapse rescaled variable: by plotting x /a f(x, y) as a function of y/ x b/a all data collapses to the graph of the scaling function F ±. Near the critical point the various thermodynamic functions exhibitascaling scaling behavior. The scaling hypothesis assumes that near to the phase transition the (non-analytical part of the) free energy per spin is an homogeneous function: hypothesis ( ) b f(t, b) = t α F ± t t 0 ± b 0, (5.50) where t = T Tc T c is the reduced temperature, b = βb and the exponents α< and are the first two critical exponents. Since derivatives of homogeneous functions are again homogeneous, the scaling ansatz (5.50) implies that all thermodynamic quantities are so near the phase transition. The magnetization per spin scales as: m(t, b) = β f b ( ) b = β t α F ± t ( ) b t α M ±. (5.5) t The exponents β and δ where defined by the relations: m(t, 0) ± t β m(0,b) sign(b) b /δ. (5.5) Comparing (5.5) to (5.5) gives the first two scaling relations: The susceptibility scales as follows: β = α = βδ. (5.53) χ(t, b) = β m b = β t α F ± t α χ ± ( b t ( ) b t ). (5.54)
27 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 88 The exponent γ is defined by the relation χ(t, 0) χ ± t γ and from (5.54) we find the scaling relation: γ = α (5.55) and the relation χ ± = χ ± (0). Thesingularpartofthespecificheatscalesas: c(t, b) = T f T = T ( ) ( α)( α) b t α F ± T c T c t ( ) b t α C ± ; (5.56) t thus at the phase transition the specific heat diverges like c(t, 0) C ± t α with C ± = C ± (0) Scaling relations Combining the relations (5.53) with (5.55) we can eliminate to obtain α +β + γ = β + γ = βδ. (5.57) scaling One also finds the scaling relation: γ = ν( η). (5.58) To derive (5.58) we start from (5.8) and transform the sum in an integral: χ L 0 dr r d C(r) L 0 dr r d r (d +η) = L 0 dr r η = L η η, (5.59) where we used (5.36) to express the correlation function at criticality. At the critical point ξ = L and thus χ ξ η.recallingthescalingbehaviorofboth the susceptibility and the correlation length this implies t γ t ν( η), which immediately gives (5.58). Note that this scaling relation is the same we found when we studied percolation. Note also that since χ>0 we must have η<, whichisthusarestrictiononthepossiblevaluesassumedbythe anomalous dimension. anomalous relations dimension scaling relation
28 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 89 The hyper-scaling relation is: α = νd, (5.60) hyperscaling relation which depends explicitly on d. Toseewhy(5.60)holdsconsiderthatthefree energy per spin is an intensive variable and thus scales as f(t, 0) N L d. But from the scaling ansatz (5.50) we also know that f(t, 0) t α, thus at criticality where ξ = L we must have t νd t α and so we get(5.60). Note that we have already met this relation when we studied the random walk; we called α = 3 the Hurst exponent and we had d =and d f = =. ν Note that the mean field critical exponents (5.37) and the one and two dimensional Ising model critical exponents indeed satisfy the scaling relations. Note that in the mean field case the hyper-scaling relation implies =d/ or d =4. Combining the previous relations we find: with only ν and η independent. α = νd β = ν d +η γ = ν( η) δ = d + η d +η, (5.6) there are only two independent critical exponents 5.5 RG for lattice models We discuss the RG approach to lattice models developed mostly by Kadanoff and Wilson RG for the d Ising model We construct the RG transformation by grouping the spins in pairs and by applying the decimation procedure where we sum over the second spin in
29 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 90 R C S Figure 5.: RG on a one dimensional lattice. each pair. By defining the coupling K = βb and K = βj we have that the parti- rg tion function becomes: trans- Z = e K i σ i+k i σ iσ i+. (5.6) {σ i } To perform the decimation, consider the sum over the second spin: e K (σ +σ 3 ) σ =± e K σ +K σ (σ +σ 3 ) = e K (σ +σ ) cosh[k + K (σ + σ 3 )]. e K 0 + K (σ +σ 3 )+K σ σ 3, (5.63) where we defined the renormalized couplings so to preserve the functional form of the partition function. From (5.63) we can extract three independent relations by evaluating it for the various configuration of the two spins, i.e. for σ = σ 3 =,forσ = σ 3 =and for σ = σ 3 =, whichgive respectively: e K cosh(k +K ) = e K 0 +K +K coshk = e K 0 K e K cosh(k K ) = e K 0 K +K. (5.64) Equation (5.64) defines (implicitly) the RG transformation K 0 K 0 R K = K (5.65) K K forma- tion for the d = ising model
30 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS Figure 5.: The RG flow for the coupling K. in the three dimensional theory space of all the free energies oftheform: βf(k 0,K,K )=K 0 + K σ i + K σ i σ i+. The fact that theory space is finite dimensional is a peculiarity of the one dimensional model, note that this implies that (5.65) is an exact RG. Let s consider for a moment the case where the magnetic field is zero.thus there are only parity invariant interactions, i.e. only the couplings K 0 and K : i i K 0 = log + log cosh K K = log cosh K. (5.66) The RG transformation (5.66) has a fixed point for K =0and K =. The second is attractive and corresponds to the ordered phase transition while the first represent the disordered high temperature phase. Note that K 0 converges in the IR to the free energy, since at every RG step we are integrating out some degree of freedom (spins). In terms of the variables u = e K,v= e K, w = e K 0 the solution of
31 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 9 v e ΒB u e ΒJ Figure 5.3: RG flow for the d Ising model in the (u, v) plane. (5.64) can be written as: u = v = w = ( v + v ) / ( u4 + u 4 + v + ( u 4 + v ) / v ) /4 u 4 + v ( v + ) / ( u 4 + v u + 4 v + ) /4, (5.67) v and the exact RG transformation becomes: u u R v w = v w In the (u, v) plane there is a repulsive fixed point (0,B), amixedfixedpoint (0, ) and a line of fixed points (,B), ascanbeseeninfigure General RG analysis The general case is much more complicated. The coarse graining is still implemented by decimation but for d>this procedure introduces new.
32 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 93 C S R Figure 5.4: RG transformation for the two dimensional Ising model. The coarse graining is performed by summing over any second spin, while the similarity has scale factor λ = and a rotation of π. 4 couplings at every iteration of the RG transformation. The full complexity is already present in the two dimensional squarelat- rg for tice case. The RG transformation is illustrated in the Figure. Since now the d = ising e K σ 5 (σ +σ +σ 3 +σ 4 ) =cosh[k (σ + σ + σ 3 + σ 4 )] model σ 5 =± = e K 0 + K (σ σ +σ σ 4 +σ σ 3 +σ 3 σ 4 )+K 3 (σ σ 3 +σ σ 4 )+K 4 σ σ σ 3 σ 4, (5.68) new next nearest neighbor interactions K 3 and quadruple interactions K 4 are generated already after the first RG step. At every iteration the number of coupling constants grows and finally the RG flow takes place in the infinite dimensional theory space parametrized by the couplings K = (K 0,K,K,K 3,K 4,...): RK = K. (5.69) The most general free energy has now the form: βf(k) =K 0 +K σ i +K σ i σ j +K 3 σ i σ j +K 4 σ i σ j σ k σ l +... We go on with the theory. i i,j i,j (5.70) Phase transitions correspond to fixed points: RK = K, (5.7) fixed points
33 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 94 and their domain of attraction define a universality class. Linear stability. point: We can linearize the RG transformation around a fixed linear stability RK = RK + L(K K )+... (5.7) where the linear RG transformation is now the stability matrix: L ij = K i K j. (5.73) In general there is no reason whyl should be symmetric, but for ease of discussion we will assume it. Thus the eigenvalues and eigenvectors are all real: Lv n = λ n v n λ n = λ θn, (5.74) where we introduced, as customary, the RG eigenvalues θ n. The couplings in the direction of the eigenvectors are called the scaling fields or couplings and denoted with s i. Since we are interested in the Ising fixed point which has two relevant directions we will set t = s and b = s. We have seen the the Ginzburg criterium tells us that the mean field critical deriving exponents are correct in d>4. We have the critical exponents in d =, from the exact solutions. We now see that we can use the RG to compute the the scaling form critical exponents for every d. NotethatbytheRGdecimationprocedurewe and the are not changing the partition function (since we are considering the most critical general for the energy or free energy): exponents Z(K) = e βe {σ i }(K) {σ i } = {σ i } = {σ i } {σ dec i } e βe {σ i,σ i dec } (K) e βe {σ i }(K ) = Z(K ), (5.75)
34 CHAPTER 5. ISING MODEL AND PHASE TRANSITIONS 95 thus the free energy transforms as: Since N = λ d N we find: f(k) = log Z(K) βn = βn log Z(K ) = N N f(k ). (5.76) f(k) =λ d f(rk). (5.77) As we said, the coupling K 0 converges to the total free energy since at every step we integrate out half of the spins. Around a fixed point we can diagonalize the stability matrix and express the coupling vector intermsofthe scaling fieldsk =(t, b, s 3,s 4,...) and we find: f(k) = λ nd f(r n K) = λ nd f(λ nθt t, λ nθ b b, λ nθ 3 s 3,λ nθ 4 s 4,...) n λnd f(λ nθt t, λ nθ b b, 0, 0,...), (5.78) if we now choose λ = t /nθt,wefindthescalingformforthefreeenergy: ( ) b f(t, b) t d/θt f ±, t θ b/θ t, 0, 0,... t 0 b 0, (5.79) with: α = d θ t = θ b θ t F ± (x) =f(±, x,...). (5.80) The RG analysis has thus proved the scaling hypothesis and showed that the critical exponents are related to the RG eigenvalues! The first relation is just the hyperscaling relation (5.60) and thus ν = θ t, (5.8) which immediately tells us how to compute the correlation length critical exponent. Spin block transformations as defined in this section are not an exact way to implement the coarse grain C and are thus of of limited practical/quantitative use, even if conceptually very illuminating. In the next lecture we will develop a better formalism to construct the transformation R exactly.
35 Bibliography [] H. Maris and L. Kadanoff, Teaching the Renormalization Group, Am. J. Phys. 46(6) (978) 65. [] K. Wilson, The Renormalization Group and Critical Phenomena. Rev. Mod. Phys. 55(3) (983) 583. [3] E. Stanley, Scaling, universality, and renormalization: Three pillars of modern critical phenomena, Rev.Mod.Phys.7()(999)S358 S
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 informationRenormalization 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 informationPhysics 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 informationStatistical 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 informationPhase 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 informationKrammers-Wannier Duality in Lattice Systems
Krammers-Wannier Duality in Lattice Systems Sreekar Voleti 1 1 Department of Physics, University of Toronto, Toronto, Ontario, Canada M5S 1A7. (Dated: December 9, 2018) I. INTRODUCTION It was shown by
More informationPhysics 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 informationScaling 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 informationPhase 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 informationIntroduction 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 informationComplex 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 informationc 2007 by Harvey Gould and Jan Tobochnik 28 May 2007
Chapter 5 Magnetic Systems c 2007 by Harvey Gould and Jan Tobochnik 28 May 2007 We apply the general formalism of statistical mechanics developed in Chapter 4 to the Ising model, a model magnetic system
More informationMonte 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 informationJ ij S i S j B i S i (1)
LECTURE 18 The Ising Model (References: Kerson Huang, Statistical Mechanics, Wiley and Sons (1963) and Colin Thompson, Mathematical Statistical Mechanics, Princeton Univ. Press (1972)). One of the simplest
More information8.334: 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 informationNumerical 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 information5.1 Mean-Field Treatments of the Ising Model
Chapter 5 Mean-Field Theory 5.1 Mean-Field Treatments of the Ising Model In this Section, we are discussing various approaches to obtain a mean-field solution to the Ising model. In fact, several of the
More information4 Critical phenomena. 4.1 Ginzburg Landau theory of fluctuations
4 Critical phenomena 4.1 Ginzburg Landau theory of fluctuations We know that, in the critical region, fluctuations are very important but, as we have realised from the previous discussion, what is missing
More informationThe 1+1-dimensional Ising model
Chapter 4 The 1+1-dimensional Ising model The 1+1-dimensional Ising model is one of the most important models in statistical mechanics. It is an interacting system, and behaves accordingly. Yet for a variety
More informationThe 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 informations i s j µ B H Figure 3.12: A possible spin conguration for an Ising model on a square lattice (in two dimensions).
s i which can assume values s i = ±1. A 1-spin Ising model would have s i = 1, 0, 1, etc. We now restrict ourselves to the spin-1/2 model. Then, if there is also a magnetic field that couples to each spin,
More informationPhysics 127b: Statistical Mechanics. Second Order Phase Transitions. The Ising Ferromagnet
Physics 127b: Statistical Mechanics Second Order Phase ransitions he Ising Ferromagnet Consider a simple d-dimensional lattice of N classical spins that can point up or down, s i =±1. We suppose there
More informationUnstable K=K T=T. Unstable K=K T=T
G252651: Statistical Mechanics Notes for Lecture 28 I FIXED POINTS OF THE RG EQUATIONS IN GREATER THAN ONE DIMENSION In the last lecture, we noted that interactions between block of spins in a spin lattice
More informationPhase 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 information0.1. CORRELATION LENGTH
0.1. CORRELAION LENGH 0.1 1 Correlation length 0.1.1 Correlation length: intuitive picture Roughly speaking, the correlation length ξ of a spatial configuration is the representative size of the patterns.
More informationGeometric phase transitions: percolation
Chapter 2 Geometric phase transitions: percolation 2013 by Alessandro Codello 2.1 Percolation Percolation models are the simplest systems that exhibit continuous phase transitions and universality. A percolating
More informationf(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 informationS 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 informationIntroduction 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 information8.334: 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 informationCollective 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 information8.334: 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 informationUniversità degli Studi di Ferrara. Critical Properties of the Potts Glass with many states
Università degli Studi di Ferrara Dottorato di Ricerca in Fisica Ciclo XXIII Coordinatore Prof. F. Frontera Critical Properties of the Potts Glass with many states Settore Scientifico Disciplinare FIS/03
More informationCritical 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 informationStatistical mechanics, the Ising model and critical phenomena Lecture Notes. September 26, 2017
Statistical mechanics, the Ising model and critical phenomena Lecture Notes September 26, 2017 1 Contents 1 Scope of these notes 3 2 Partition function and free energy 4 3 Definition of phase transitions
More informationPhase Transitions and Critical Behavior:
II Phase Transitions and Critical Behavior: A. Phenomenology (ibid., Chapter 10) B. mean field theory (ibid., Chapter 11) C. Failure of MFT D. Phenomenology Again (ibid., Chapter 12) // Windsor Lectures
More informationCritical 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 informationSpontaneous Symmetry Breaking
Spontaneous Symmetry Breaking Second order phase transitions are generally associated with spontaneous symmetry breaking associated with an appropriate order parameter. Identifying symmetry of the order
More informationProblem 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 informationMetropolis 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 informationthe 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 informationPhase 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 informationVI. Series Expansions
VI. Series Expansions VI.A Low-temperature expansions Lattice models can also be studied by series expansions. Such expansions start with certain exactly solvable limits, and typically represent perturbations
More informationNon-Fixed Point Renormalization Group Flow
Non-Fixed Point Renormalization Group Flow Gilberto de la Peña May 9, 2013 Abstract: The renormalization group flow of most systems is characterized by attractive or repelling fixed points. Nevertheless,
More informationPrinciples 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 informationREVIEW: Derivation of the Mean Field Result
Lecture 18: Mean Field and Metropolis Ising Model Solutions 1 REVIEW: Derivation of the Mean Field Result The Critical Temperature Dependence The Mean Field Approximation assumes that there will be an
More informationIntroduction to Disordered Systems and Spin Glasses
Introduction to Disordered Systems and Spin Glasses Gautam I. Menon and Purusattam Ray Abstract This chapter reviews some basic material required for the study of disordered systems, establishing some
More information3. General properties of phase transitions and the Landau theory
3. General properties of phase transitions and the Landau theory In this Section we review the general properties and the terminology used to characterise phase transitions, which you will have already
More informationCritical 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 informationRenormalization 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 informationMagnetism 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 informationS i J <ij> h mf = h + Jzm (4) and m, the magnetisation per spin, is just the mean value of any given spin. S i = S k k (5) N.
Statistical Physics Section 10: Mean-Field heory of the Ising Model Unfortunately one cannot solve exactly the Ising model or many other interesting models) on a three dimensional lattice. herefore one
More informationIII. 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 informationVI.D Self Duality in the Two Dimensional Ising Model
VI.D Self Duality in the Two Dimensional Ising Model Kramers and Wannier discovered a hidden symmetry that relates the properties of the Ising model on the square lattice at low and high temperatures.
More informationClusters 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 information1. Scaling. First carry out a scale transformation, where we zoom out such that all distances appear smaller by a factor b > 1: Δx Δx = Δx/b (307)
45 XVIII. RENORMALIZATION GROUP TECHNIQUE The alternative technique to man field has to be significantly different, and rely on a new idea. This idea is the concept of scaling. Ben Widom, Leo Kadanoff,
More informationRenormalization 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 informationSlightly off-equilibrium dynamics
Slightly off-equilibrium dynamics Giorgio Parisi Many progresses have recently done in understanding system who are slightly off-equilibrium because their approach to equilibrium is quite slow. In this
More informationPHYSICAL 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 informationGinzburg-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 informationRenormalization 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(1) Consider the ferromagnetic XY model, with
PHYSICS 10A : STATISTICAL PHYSICS HW ASSIGNMENT #7 (1 Consider the ferromagnetic XY model, with Ĥ = i
More informationDomains and Domain Walls in Quantum Spin Chains
Domains and Domain Walls in Quantum Spin Chains Statistical Interaction and Thermodynamics Ping Lu, Jared Vanasse, Christopher Piecuch Michael Karbach and Gerhard Müller 6/3/04 [qpis /5] Domains and Domain
More informationReal-Space Renormalisation
Real-Space Renormalisation LMU München June 23, 2009 Real-Space Renormalisation of the One-Dimensional Ising Model Ernst Ising Real-Space Renormalisation of the One-Dimensional Ising Model Ernst Ising
More informationCollective 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 informationOn the Onsager-Yang-Value of the Spontaneous Magnetization
On the Onsager-Yang-Value of the Spontaneous Magnetization G. Benettin, G. Gallavotti*, G. Jona-Lasinio, A. L. Stella Istituto di Fisica del Universita, Padova, Italy Received November 10, 1972 Abstract:
More informationEquilibrium, out of equilibrium and consequences
Equilibrium, out of equilibrium and consequences Katarzyna Sznajd-Weron Institute of Physics Wroc law University of Technology, Poland SF-MTPT Katarzyna Sznajd-Weron (WUT) Equilibrium, out of equilibrium
More informationNATURAL 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 informationKolloquium 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 informationVI.D Self Duality in the Two Dimensional Ising Model
VI.D Self Duality in the Two Dimensional Ising Model Kramers and Wannier discovered a hidden symmetry that relates the properties of the Ising model on the square lattice at low and high temperatures.
More informationLecture 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 informationANTICOMMUTING INTEGRALS AND FERMIONIC FIELD THEORIES FOR TWO-DIMENSIONAL ISING MODELS. V.N. Plechko
ANTICOMMUTING INTEGRALS AND FERMIONIC FIELD THEORIES FOR TWO-DIMENSIONAL ISING MODELS V.N. Plechko Bogoliubov Theoretical Laboratory, Joint Institute for Nuclear Research, JINR-Dubna, 141980 Dubna, Moscow
More informationV. SCALING. A. Length scale - correlation length. h f 1 L a. (50)
V. SCALING A. Length scale - correlation length This broken symmetry business gives rise to a concept pretty much missed until late into the 20th century: length dependence. How big does the system need
More informationImperfect (non-ideal) Gases
Chapter 2 Imperfect non-ideal) Gases Before getting to a completely quantum treatment of particles, however, let s step back for a moment and consider real gases. Virtually all textbooks on statistical
More informationPolymer Solution Thermodynamics:
Polymer Solution Thermodynamics: 3. Dilute Solutions with Volume Interactions Brownian particle Polymer coil Self-Avoiding Walk Models While the Gaussian coil model is useful for describing polymer solutions
More informationPhysics 127b: Statistical Mechanics. Landau Theory of Second Order Phase Transitions. Order Parameter
Physics 127b: Statistical Mechanics Landau Theory of Second Order Phase Transitions Order Parameter Second order phase transitions occur when a new state of reduced symmetry develops continuously from
More information(# = %(& )(* +,(- Closed system, well-defined energy (or e.g. E± E/2): Microcanonical ensemble
Recall from before: Internal energy (or Entropy): &, *, - (# = %(& )(* +,(- Closed system, well-defined energy (or e.g. E± E/2): Microcanonical ensemble & = /01Ω maximized Ω: fundamental statistical quantity
More informationPartition functions for complex fugacity
Partition functions for complex fugacity Part I Barry M. McCoy CN Yang Institute of Theoretical Physics State University of New York, Stony Brook, NY, USA Partition functions for complex fugacity p.1/51
More informationPhase Transition & Approximate Partition Function In Ising Model and Percolation In Two Dimension: Specifically For Square Lattices
IOSR Journal of Applied Physics (IOSR-JAP) ISS: 2278-4861. Volume 2, Issue 3 (ov. - Dec. 2012), PP 31-37 Phase Transition & Approximate Partition Function In Ising Model and Percolation In Two Dimension:
More information(1) Consider a lattice of noninteracting spin dimers, where the dimer Hamiltonian is
PHYSICS 21 : SISICL PHYSICS FINL EXMINION 1 Consider a lattice of noninteracting spin dimers where the dimer Hamiltonian is Ĥ = H H τ τ Kτ where H and H τ are magnetic fields acting on the and τ spins
More informationOutline for Fundamentals of Statistical Physics Leo P. Kadanoff
Outline for Fundamentals of Statistical Physics Leo P. Kadanoff text: Statistical Physics, Statics, Dynamics, Renormalization Leo Kadanoff I also referred often to Wikipedia and found it accurate and helpful.
More informationPhonons and lattice dynamics
Chapter Phonons and lattice dynamics. Vibration modes of a cluster Consider a cluster or a molecule formed of an assembly of atoms bound due to a specific potential. First, the structure must be relaxed
More informationWatch for typos. This is typed 2003 from handwritten text of Lec. 2.4 Scaling [and exponent relations]
Watch for typos. This is typed 2003 from handwritten text of 1995. Lec. 2.4 Scaling [and exponent relations] The scaling form idea is one of the ideas from this course that you re likeliest to use someday,
More informationSolutions to problems for Part 3. Assigned problems and sample quiz problems
1 s to problems for Part 3 Assigned problems and sample quiz problems Sample Quiz Problems Quiz Problem 1. Draw the phase diagram of the Ising Ferromagnet in an applied magnetic field. Indicate the critical
More informationErnst Ising. Student of Wilhelm Lenz in Hamburg. PhD Thesis work on linear chains of coupled magnetic moments. This is known as the Ising model.
The Ising model Ernst Ising May 10, 1900 in Köln-May 11 1998 in Peoria (IL) Student of Wilhelm Lenz in Hamburg. PhD 1924. Thesis work on linear chains of coupled magnetic moments. This is known as the
More informationPhase Transitions: A Challenge for Reductionism?
Phase Transitions: A Challenge for Reductionism? Patricia Palacios Munich Center for Mathematical Philosophy Abstract In this paper, I analyze the extent to which classical phase transitions, especially
More informationChap.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 informationAnalyzing the two dimensional Ising model with conformal field theory
Analyzing the two dimensional Ising model with conformal field theory Paolo Molignini Theoretisches Proseminar FS203, Departement Physik, ETH Zürich paolomo@student.ethz.ch March 0, 203 Abstract The purpose
More informationCollective 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 informationarxiv: v1 [cond-mat.stat-mech] 3 Jun 2018
Ising Models with Holes: Crossover Behavior arxiv:1806.00873v1 [cond-mat.stat-mech] 3 Jun 2018 Helen Au-Yang and Jacques H.H. Perk Department of Physics, Oklahoma State University, 145 Physical Sciences,
More informationCrossover scaling in two dimensions
PHYSICAL REVIEW E VOLUME 56, NUMBER 6 DECEMBER 1997 Crossover scaling in two dimensions Erik Luijten * and Henk W. J. Blöte Department of Physics, Delft University of Technology, Lorentzweg 1, 2628 CJ
More informationMarkov Chain Monte Carlo The Metropolis-Hastings Algorithm
Markov Chain Monte Carlo The Metropolis-Hastings Algorithm Anthony Trubiano April 11th, 2018 1 Introduction Markov Chain Monte Carlo (MCMC) methods are a class of algorithms for sampling from a probability
More informationHome Page ISING MODEL. Title Page. Contents. Lecture 12. Page 1 of 100. Go Back. Full Screen. Close. Quit
ISING MODEL Lecture 12 Page 1 of 100 Page 2 of 100 Ernst Ising (1900-1996) Ernst Ising was born May 10, 1900 in Cologne, Germany. In 1919 he began studying mathematics and physics at the University of
More information2 The Curie Weiss Model
2 The Curie Weiss Model In statistical mechanics, a mean-field approximation is often used to approximate a model by a simpler one, whose global behavior can be studied with the help of explicit computations.
More informationPhase Transitions: A Challenge for Reductionism?
Phase Transitions: A Challenge for Reductionism? Patricia Palacios Munich Center for Mathematical Philosophy Abstract In this paper, I analyze the extent to which classical phase transitions, especially
More informationImprovement of Monte Carlo estimates with covariance-optimized finite-size scaling at fixed phenomenological coupling
Improvement of Monte Carlo estimates with covariance-optimized finite-size scaling at fixed phenomenological coupling Francesco Parisen Toldin Max Planck Institute for Physics of Complex Systems Dresden
More information8 Error analysis: jackknife & bootstrap
8 Error analysis: jackknife & bootstrap As discussed before, it is no problem to calculate the expectation values and statistical error estimates of normal observables from Monte Carlo. However, often
More informationLectures 16: Phase Transitions
Lectures 16: Phase Transitions Continuous Phase transitions Aims: Mean-field theory: Order parameter. Order-disorder transitions. Examples: β-brass (CuZn), Ferromagnetic transition in zero field. Universality.
More informationRevision Checklist. Unit FP3: Further Pure Mathematics 3. Assessment information
Revision Checklist Unit FP3: Further Pure Mathematics 3 Unit description Further matrix algebra; vectors, hyperbolic functions; differentiation; integration, further coordinate systems Assessment information
More informationThe Farey Fraction Spin Chain
The Farey Fraction Spin Chain Peter Kleban (Univ. of Maine) Jan Fiala (Clark U.) Ali Özlük (Univ. of Maine) Thomas Prellberg (Queen Mary) Supported by NSF-DMR Materials Theory Statistical Mechanics Dynamical
More information