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Is the Hyperscaling Relation Violated Below the Upper Critical Dimension in Some Particular Cases?

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21 February 2025

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24 February 2025

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Abstract

In this review, we show our results with new interpretation on the critical exponents of thin films obtained by high-performance multi-histogram Monte Carlo simulations. The film thickness Nz consists of a few layers up to a dozen of layers in the z direction. The free boundary condition is applied in this direction while in the xy plane periodic boundary conditions are used. The large xy plane size, from 702 to 1602, is used for finite-size scaling. The Ising model is used with nearest-neighbor (NN) interaction. When Nz=1, namely the two-dimensional (2D) system, we find strictly the critical exponents given by the renormalization group. While, for Nz>1, the critical exponents calculated with the high-precision multi-histogram technique show that they deviate systematically from the 2D values and get closer to the 3D critical exponents for Nz>13 . If we argue that as long as the thickness Nz is small enough, the correlation length in the z direction is finite, it does not affect the nature of the phase transition, namely it remains in the 2D universality class. This argument is in contradiction with our numerical results which show a systematic deviation from 2D values: If we use these values of critical exponents in the hyperscaling relation with d=2, then the hyperscaling relation is violated. However, if we use the hyperscaling relation and the critical exponents obtained for Nz>1 to calculate the dimension of the system, we find the system dimension between 2 and 3. This can be viewed as an "effective" dimension. More discussion is given in the paper. We also show the cross-over between the first- and second-order transition while varying the film thickness. In addition, we will show evidence that when a 2D system has two order-parameters of different symmetries with a single transition, the critical exponents are new, suggesting a universality class of coupled two-symmetry breakings. In this case, the 2D hyperscaling does not hold. Another case is the 3D Ising model coupled to the lattice vibration: the critical exponents deviate from the 3D Ising ones, the results suggest the violation of the hyperscaling.

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1. Introduction

The study of phase transitions is one of the most important tasks in theory, in experiments and in computer simulations since the second half of the 20th century. The main reason is that, if we know the characteristics of a phase transition, we can understand the interaction mechanisms lying behind the transition and we can deduce various physical quantities. Therefore, comparisons between theories, experiments and computer simulattions are necessary in order to obtain conclusions. While comparison with experments is always a challenge because real materials may contain ill-controlled elements such as dislocations, defects and impurities, comparisons between theories and simulations are in most cases possible. This is the purpose of the present short review based on our own works in the past years.
Let us recall that the phase transition was first studied by the mean-field approximation with several improved versions in the 40s (see the textbook [1] where these methods are shown and commented). These were followed by exact-solution methods in two dimensions (2D) such as the Ising model, Potts models and vertex models (see the book by R. Baxter [2]). The break-through in general dimensions come in 1970 with the formulation of the renormalization group by K. G. Wilson [3,4] followed by investigations on the finite-size scaling analysis and their validity [5]. The present Special Issue (SI) revisits the progress made on the scaling and hyperscaling relations above the upper critical dimension d u = 4 . Several papers in this SI recall the foundation of these relations in a general d. The reader is referred, for example, to the review by A. Peter Young [6] for a recall of the demonstration of these relations (see also the review by Honchar et al. [7]). The main question of this SI is whether or not the hyperscaling is violated for dimension d larger than the upper critical dimension d u = 4 . However, we show that the question of the violation of the hyperscaling is also posed in d < 4 in some specific cases that we will present in this paper.
The first case concerns the critical exponents obtained by using the highly-precise multi-histogram Monte Carlo (MC) technique [8,9,10] for a thin film of simple cubic structure with Ising spin model. The film surface L 2 ( x y plane) is very large, up to L 2 = 160 2 lattice sites for some cases, with periodic boundary conditions, while the film thickness N z goes from one layer (2D) to 13 layers with free boundary conditions. Finite-size scaling (FSS) has been used with varying L to calculate the critical exponents. These results have been published in Ref. [11] but the aspect of the violation of the hyperscaling relation has not been discussed. In the light of the topic of the present Special Issue, we revise the interpretation of our results. In addition, we review some other cases that we have investigated.
Except the case N z = 1 , the question on the dimension of the system is naturally arised. For Capehart and Fisher [12], there is a cross-over from 2D to 3D when N z is increased. So, how to use the hyperscaling relation, namely with which dimension ? We will discuss in this paper.
This short review is organized as follows. Section 2 is devoted to the case of thin films mentioned above where the multi-histogram technique is recalled. Section 3 shows the results of critical exponents obtained with the FSS. Section 4 reviews the case of a cross-over between the first- and second-order transitions when the film thickness is decreased. Section 5 is devoted to some other cases where the hyperscaling relation is violated or seems to be violated. Concluding remarks are given in Section 6.

2. Critical Behavior of Thin Films

2.1. Model

We consider a thin film composing of N z layers of x y square lattices stacking in the z direction. The x y plane has the dimension L × L where L is the linear dimension. We use a simple Hamiltonian which consists of Ising spins occupying the lattice sites. The spins interact with each other via an exchange interaction J between nearest neighbors (NN). We assume J to be unique everywhere including between surface spins. The Hamitonian is written as
H = J i , j σ i σ j
In the simulations which will be shown below, we take N z from 1 to 13 and L = 20 80 (for some cases L is up to 160). Before showing our results, let us summarize the multi-histogram technique in the following.

2.2. Multi-Histogram Technique

The principle of a single histogram MC method is to record the energy histogram H ( E ) collected at a temperature T as close as possible to the transition temperature obtained from the standard MC simulation. From H ( E ) one can calculate thermodynamiic quantities using formulas of the canonical distribution. The error depends on how far the chosen temperature is from the transition temperature T c . Multi-histogram technique helps overcome this uncertainty. We know that with a finite-size system the maximum of the specific heat C v and the maximum of the susceptibility χ do not occur at the same temperature. In the multi-histogram technique, we take another temperature close to the maximum of C v and the maximum of χ to calculate by histogram technique the new temperatures of the maxima of C v and χ . We repeat again this procedure for 8 temperatures: such an iteration procedure improves the positions of the maxima of C v and χ at the system size ( L , N z ) .
The reader is referred to Refs. [9,11] for the technical details.
Note that, as in the single histogram technique, thermal physical quantities are calculated as continuous functions of T which allow for the precise determination of the peak positions and the peak heights of C v and χ for a given system size. This permits to make the finitte-size scaling with precision. In addition, since we take many temperatures in the transition region, the results obtained by multi-histogram method are valid for a wider range of temperature, unlike a single histogram technique with the results valid only in a very small temperature region, typically [ T T c ( ) ] / T c ( ) ± 1 % .
In MC simulations, we calculate the thermal averages of
- the magnettization M
M = 1 L 2 N z i σ i
- the total energy E ,
E = H ,
- the heat capacity C v ,
C v = 1 k B T 2 E 2 E 2 ,
- the susceptibility χ ,
χ = 1 k B T M 2 M 2 ,
- the Binder energy cumulant U,
U = 1 E 4 3 E 2 2 ,
- n t h order cumulant of the order parameter V n for n = 1 and 2:
V n = ln M n ( 1 / k B T ) = E M n E M n .
Note that if we scale with L, we have the following relations, since N z is fixed [6,9,13]:
V 1 max L 1 / ν , V 2 max L 1 / ν ,
C v max = C 0 + C 1 L α / ν
and
χ max L γ / ν
at their respective ’transition’ temperatures T c ( L ) , and
U = U [ T c ( ) ] + A L α / ν ,
M T c ( ) L β / ν
and
T c ( L ) = T c ( L = ) + C A L 1 / ν
In the above relations, A, C 0 , C 1 and C A are constants. The exponent ν can be calculated by Eqs. (8). For L large enough, V 1 max and V 2 max should give the same ν as seen below. Then, from Eq. (13) we estimate T c ( L = ) . Using this, we calculate α and β from Eqs. (11) and (12). We will check the Rushbrooke inequality α + 2 β + γ 2 and the hyperscaling relation d ν = 2 α in the folllowing.
To ensure that Eqs. (8)-(13) are used for L large enough, one uses the following corrections to scaling of the form
χ max = B 1 L γ / ν ( 1 + B 2 L ω )
V n max = D 1 L 1 / ν ( 1 + D 2 L ω )
B 1 , B 2 , D 1 and D 2 being constants and ω a correction exponent.[14] Normally, if L is large enough, the corrections are very small. With today’s computer-memory capacity, large L is often used as seen below. The scaling corrections are thus extremely small, they do not therefore alter the results using Eqs. (8)-(13).

3. Results

Most of the results shown below have been published by us in [11]. However, in light of the new interpretation on the violation of the hyperscaling relation, we review them here to show that there is a possibility that the hyperscaling relatrion d ν = 2 α is violated below d u : as said in the Introduction, in the case of thin films where the thickness is finite and small, the hyperscaling relation is satisfied only when d has a value between 2 and 3. This non-integer dimension is called by Capehart and Fisher [12] "cross-over dimension". To our knowledge, d in the hyperscaling relation is the space dimension, it is 2, 3, ... (integer), it cannot be between 2 and 3. We are convinced that the hyperscaling relation may not be valid in the case of thin films shown below and in other particular cases shown in Section 5.
First, we show the layer magnetizations and their corresponding susceptibilities of the first three layers in the case where N z = 5 , L = 24 in Figure 1. The layer susceptibilities have their peaks at the same temperature, indicating a single transition. We note that the magnetization is lowest at the surface and increases while going to the interior. This is known a long time ago by the Green’s function method [15,16] and by more recent works on thin films with competing interactions [17] and films with Dzyaloshinskii-Moriya interaction [18,19]. Physically, the surface spins have smaller local field due to the lack of neighbors, so thermal fluctuations will reduce more easily the surface magnetization with respect to the interior ones.
We plot in Figure 2 the total magnetization and the total susceptibility. The latter shows only one peak, signature of a single transition. This justifies the study shown below on the criticality of the film transition.

3.1. Finite Size Scaling

Let us show our finite-size scaling (FSS) with L varying from 20 to 80. For N z = 3 we use L up to 160 to evaluate the corrections to scaling.
The technical details can be seen in [11]. We just summarize here: for a given N z we use first the standard MC simulations to determine for each size the peak temperatures T c ( C v , L ) of C v ( L ) and T c ( χ , L ) of χ ( L ) . The equilibrating time is from 200000 to 400000 MC steps/spin and the averaging time is from 500000 to 1000000 MC steps/spin. Next, as said earlier, we record the energy histograms at 8 different temperatures T j ( L ) around the transition temperatures T c ( C v , L ) and T c ( χ , L ) with 2 millions MC steps/spin, after discarding 1 millions MC steps/spin for equilibrating. Such an iteration procedure gives extremely good results. Errors shown in the following have been estimated using statistical errors, which are very small thanks to our multiple histogram procedure, and fitting errors given by fitting software.

3.2. Critical Exponents Obtained with Finite-Size Scaling

We show first the peak height of the susceptibility and the maximum of V 1 as functions of T for varying L from 20 to 80 in Figure 3.
Note that the results shown below are obtained using T c ( L = , N z ) as said earlier below Eq. (13).
Exponent ν is shown as a function of N z in Figure 5
To show the precision of our method, we give here the results of N z = 1 . For N z = 1 , we have 1 / ν = 1.0010 ± 0.0028 which yields ν = 0.9990 ± 0.0031 and γ / ν = 1.7537 ± 0.0034 and γ = 1.7520 ± 0.0062 . These results are in excellent agreement with the exact results ν 2 D = 1 and γ 2 D = 1.75 . The very high precision of our method is thus verified in the rather modest range of the system sizes L = 20 80 used in the present work. Note that the result of Ref.[20] gave ν = 0.96 ± 0.05 for N z = 1 which is very far from the exact value.
The results of γ / ν are shown in Figure 6 and Figure 7. The results of α / ν are shown in Figure 8

3.3. Corrections to Scaling

Let us touch upon the question of corrections to scaling said earlier. We show now that the corrections to scaling are very small.
We consider here the effects of larger L and of the correction to scaling for N z = 1 , 3 , . . . , 13 . The results indicate that larger L does not change the results shown above. Figure 9(a) displays the maximum of V 1 as a function of L up to 160. Using Eq. (8), i. e. without correction to scaling, we obtain 1 / ν = 1.009 ± 0.001 which is to be compared to 1 / ν = 1.008 ± 0.002 using L up to 80. The change is therefore insignificant because it is at the third decimal i. e. at the error level. The same is observed for γ / ν as shown in Figure 9(b): γ / ν = 1.752 ± 0.002 using L up to 160 instead of γ / ν = 1.751 ± 0.002 using L up to 80.
Now, let us allow for correction to scaling, i. e. we use Eq.(14) instead of Eq. (10) for fitting. We obtain the following values: γ / ν = 1.751 ± 0.002 , B 1 = 0.05676 , B 2 = 1.57554 , ω = 3.26618 if we use L = 70 to 160 (see Figure 10). The value of γ / ν in the case of no scaling correction is 1.752 ± 0.002 . Therefore, we can conclude that this correction is insignificant. The large value of ω explains the smallness of the correction.
For β , using Eq. (12) we calculate β / ν for each thickness N z . The results are precise. For example for N z =1, we obtained β / ν = 0.1268 ± 0.0022 which yields β = 0.1266 ± 0.0049 which is in agreement within errors with the exact result β = 1.25 . We show in Figure 11 the exponent β versus N z .

3.4. Summary of Our Results

We summarize our results in Table 1. Note that if we use ν and α for a given N z , except the case N z = 1 ( d = 2 ) , the hyperscaling relation d ν = 2 α is violated if d = 2 . This relation is obeyed if the dimension is replaced by an "effective dimension" d e f f listed in Table 1 which is larger than 2. The last column shows the critical temperature at L = obtained by using Eq. (13).

3.5. Discussion

Let us show in Figure 12 the effective dimension versus N z . As seen, though d e f f deviates systematically from d = 2 , its values are however very close to 2. This means that the 2D character is dominant even at N z = 13 .
As mentioned above, d eff is very close to 2. However, T c ( L = , N z ) increases very fast to reach a value close to T c of the 3D Ising model ( 4.51 ) at N z = 13 . This is an interesting point. In Ref. [12] Capehart and Fisher define the critical-point shift as
ε ( N z ) = T c ( L = , N z ) T c ( 3 D ) / T c ( 3 D )
They showed that
ε ( N z ) b N z 1 / ν [ 1 + a / N z ]
where ν = 0.6289 (3D value). Using T c ( 3 D ) = 4.51 , we fit the above formula with T c ( L = , N z ) taken from Table 1, we obtain a = 1.37572 and b = 1.92629 .
Our results and the fitted curve are shown in Figure 13. Note that the correction factor [ 1 + a / N z ] is necessary to obtain a good fit for small N z . The prediction of Capehart and Fisher is verified by our result.
If the cross-over dimension raised by Capehart and Fisher [12] is identified with the effective dimension between 2 and 3, then the hyperscaling relation involving the space dimension d cannot be satisfied in the case of thin films. Let us take the case N z = 13 , we have d ν = 2 × 0.9692 = 1.9384 , while 2 α = 2 0.00226 = 1.99774 far from the d ν value. The hyperscaling relation is thus violated.
We show now that the free boundary condition in the z direction gives the same result, within errors, as the periodic boundary condition (PBC), as far as the critical exponents are concerned. This is shown in Figure 14 and Figure 15.
We would like to emphasize that the Rushbrooke inequality α + 2 β + γ 2 is verified within errors as an equality for each N z as seen in Table 1.

4. Cross-Over from First- to Second-Order Transition with Varying Film Thickness

In this section, we show that the film thickness can alter the nature of the transition. We cite here our work on the cross-over between the first- and second-order transition when the film thickness of a fully frustrated FCC antiferromagnet with Ising spins is decreased to 4 layers (two FCC cells). We used the highly-efficient Wang-Landau method [21,22,23,24,25,26,27] to detect the thickness where the first-order transition becomes of second-order.
Figure 16 shows the strong first-order character of the transition with an energy discontinuity in the bulk case.
In the case of a thin film composed of 8 layers ( N z =4 FCC cells in the z direction), the first-order character remains as shown in Figure 17 with a double-peak structure.
When we decrease the film thickness, the latent heat goes to zero at 4 layers (i. e. N z = 2 ) as shown in Figure 18.
We have fitted Δ E with the following function
Δ E = A B N z d 1 1 + C N z ,
where d = 3 is the space dimension, A = 0.3370 , B = 3.7068 , C = 0.8817 . The second term in the brackets corresponds to a size correction. As seen in Figure 18, the latent heat vanishes at a thickness L z = 2 N z = 4 . This is verified by our simulations for a 4-layer film: the transition has a continuous energy across the transition region, even when L = 150 .
The energy versus T for L z = 4 is shown in Figure 19.
As seen in Figure 20, there are two close transitions: transition of the surface layers at z = 0 and z = 3 / 2 , and that of the beneath layers at z = 1 / 2 and z = 1 (the lattice constant is taken to be 1).
The surface layer has larger magnetization than that of the second layer unlike the non-frustrated case shown in the previous section. One can explain this by noting that due to the lack of neighbors, surface spins are less frustrated than the interior spins, making them more stable than the interior spins. This has been found at the surface of the frustrated helimagnetic film [17]. In order to find the nature of these transitions, using the Wang-Landau technique we study the finite-size effects which are shown in in Figure 21 and Figure 22. The first peak at T 1 1.927 corresponds to the vanishing of the second-layer magnetization, it does not depend on the lattice size, while the second peak at T 2 1.959 , corresponding to the disordering of the two surface layers, it depends on L. The histograms shown in Figure 23 are taken at and near the transition temperatures show a Gaussian distribution indicating a non first-order transition.
The fact that the peak at T 1 of the specific heat does not depend on L suggests two scenarios: i) T 1 does not correspond to a transition, ii) T 1 is a Kosterlitz-Thouless transition. We are interested here to the size-dependent transition at T 2 . Using the multi-histogram technique, we have obtained ν = 0.887 ± 0.009 and γ = 1.542 ± 0.005 for the case of 4 layers (see Figure 24 and Figure 25). These values do not correspond neither to 2D nor 3D Ising models ν ( 2 D ) = 1 , γ ( 2 D ) = 1.75 , ν ( 3 D ) = 0.63 , γ ( 3 D ) = 1.241 . We can interpret this as a dimension cross-over between 2 D and 3 D . Note that the values we have obtained ν = 0.887 ± 0.009 and γ = 1.542 ± 0.005 belong to a new, unknown universality class.
At the time of our work [28], we relied on the hyperscaling relation with d = 2 to deduce critical exponent α and using the Rushbrooke equality to calculate β . However, in view of a possible violation of the hyperscaling when d is not the space dimension, we cannot conclude without a direct calculation of α as we have done in the previous section.

5. Other Cases Violating the Hyperscaling Relation?

There are cases where the systems have an additional degree of freedom distinct from the order parameter. This is the case of XY spins with a chirality symmetry: while the chiral symmetry can be mapped onto an Ising-like symmetry, the continuous nature of XY spins affects the criticality of the Ising symmetry breaking. Another case is a system of Ising spins in which each spin moves around its lattice site, a kind of magneto-elastic coupling. These two cases have been previously studied [29,30,31]. We briefly review these results below under the view angle of new universality class and the violation or not of the hyperscaling relation below d u = 4 .

5.1. Fully Frustrated XY Square Lattice

The fully frustrated with XY spins on the square lattice has been intensively studied [29,32,33,34,35,36,37,38,39]. The lattice with the ground-state (GS) spin configuration is shown in Figure 26 (see [32]) where the angles between spins linked by a ferromagnetic (antiferromagnetic) bond is π / 4 ( 3 π / 4 ) with right and left chiralities. This GS is equivalent to an Ising model on an antiferromagnetic square lattice. When T increases, one expects a transition of the Ising type. However, at finite T, the XY spins fluctuate around their GS orientations shown in Figure 26, making the nature of the phase transition more complex as seen below. Note that some authors have claimed that there are two separate transition of X Y and Ising natures [36,37,38,39]. However, our results [29] and those of Refs. [34,35] show clearly that there is only a single transition of the new criticality called "coupled XY-Ising" universality class. We show below our results.
In Ref. [29], using the highly-precise multi-histogram MC simulations described above, we have obtained the critical exponents ν and γ . We show in Figure 27 the Binder energy cumulant U E [8,9] as a function of L: as seen the curve approaches assymtotically 2 / 3 from below. This indicates a second-order nature of the transition.
Let us show the susceptibility versus T for L = 44 , 52 , 60 , 84 , 100 , 140 in Figure 28. A single peak for each size indicates a single transition as said above. For L = 140 the peak is very close to T c ( L = ) = 0.45522 ( 2 ) estimated using Eq. (13) and ν = 0.852 ( 2 ) calculated below using the maxima of V 1 and V 2 shown in Figure 29. The fitting error is less than 0.1%. Note that our value is the same as that of Ref. [35] which used the same multi-histogram MC technique, but differs from those obtained by less efficient methods ( ν = 0.816 in Ref. [38] and ν = 0.889 in Ref. [39] for XY transition).
We calculate exponent γ using the peak values of χ for varying L. The curve in the ln ln scale is shown in Figure 30. The slope gives γ / ν . Using ν = 0.852 we obtain γ = 1.531 ( 3 ) which is different from 1.448(24) obtained by Ref. [38].
At the time of our work in Ref. [29], we did not calculate β and α as we have done on thin films presented in the precedent section. We were confident on the hyperscalings d ν = γ + 2 β and α = 2 d ν , so we used these relations to calculate β and α . However, in view of the question whether or not these relations are valid in particular cases such as the case of thin films shown in Section 2 and the double transition in the case of fully frustrated square lattice presented here, we would like to check the validity of the hyperscaling relations. We can use ν and γ obtained here and the value of 2 β / ν = 0.31 ( 3 ) obtained in Ref. [35], then we have d ν = 2 × 0.852 = 1.704 while γ + 2 β = 1.531 + 0.31 × 0.852 = 1.795 . We see that d ν < γ + 2 β even if we take into account errors of the exponents. Note that in these estimations we have used the Rushbrooke "equality" which is so far verified within errors in all known cases.
We note that it has been found in Ref. [35] by direct FSS that α / ν = 0.48 ( 7 ) . Using ν = 0.852 obtained by us and by Ref. [35], one obtains α 0.409 . This yields 2 α = 2 0.409 = 1.591 which is not equal to d ν = 2 × 0.852 = 1.704 (here we do not use the Rushbrooke equality).
The conclusion for this coupled XY-Ising model based on the high-precision multi-histogram technique of our work and of Ref. [35] is that the hyperscaling relation is violated.

5.2. Effect of Magneto-Elastic Coupling on Criticality

There are certainly other exotic models which may violate the hyperscaling relation for d < 4 . One of these is the magneto-elastic coupling model that we have studied by using the multi-histogram technique [30,31]. The model consists of atoms on a stacked triangular lattice. Each atom carries an Ising spin and moves around its lattice equilibrium position. There are two kinds of interaction which are distance-dependent: the elastic interaction between atoms and the magnetic interaction between Ising spins. We suppose the following Hamiltonian:
H = U 0 i , j J ( r i j ) + U m i , j J ( r i j ) σ i σ ˙ j
where the first sum is the elastic interaction with amplitude U 0 , and the second sum expresses the interacting spins with amplitude U m . The distance-dependence is supposed to be the Lennard-Jones potential
J ( r i j ) = ( r 0 / r i j ) 12 2 ( r 0 / r i j ) 6
where r 0 = 1 is the distance at equibrium betwenn NN in the triangular planes and also in the stacking direction., r i j = r i r j is the instantaneous distance beween NN.
In order to separate the spin disordering from the melting, we take the ratio Q = U 0 / U m large enough so that the magnetic transition occurs at low T. The cut-off distance is taken as r c = 1.366 r 0 .
Simulations using multiple-histogram technique have been performed. The reader is referred to Ref. [30,31] for details. We just summarize the results in Table 2. Note that we have calculated at the time of our work (Ref. [30,31]) only ν and γ , and we have relied on the hyperscaling relations d ν = 2 α and γ / ν = 2 η to calculate α and η listed in Table 2. However, we believe that if α is directly calculated as in Section 2, the result of α may be different, due to the mixing of elastic and magnetic interactions. The nature of the transition depends on Q: it changes from the Ising nature at large Q to close to the XY universality class as seen in Table 2. In such complex situations, we are not sure that the hyperscaling relations are valid. Further direct calculations of α in the way we did in Ref. [11] are necessary to conclude on this point.

6. Concluding Remarks

We know that the hyperscaling relation is verified in d = 3 for Ising, XY and Heisenberg spins (results of highly-efficient simulations), and in d = 2 for Ising spins (exact results). However, as shown in this review, there are particular cases that the hyperscaling relation d ν = 2 α is violated. One of these situations is the case of a magnetic thin film with small thickness. Another case is the fully frustrated XY square lattice where we show that there is a single phase transition of a new coupled XY-Ising universality: the results of Ref. [35] and our results using the same method of simulation (multiple-histogram technique) are the same for ν and γ . We did not calculated β , but we believe we should obtain the same β obtained in Ref. [35] in view of the same results obtained for ν and γ . The hyperscaling relation is then violated in this case. The case of a system with a magneto-elastic interaction shows a new universality class. The violation, or not, of the hyperscaling relation in this case needs further verifications.
To conclude, let us emphasize that, in view of the precise values we have obtained, at least for thin films, the hyperscaling relation is not verified. We have also presented evidence of the violation of the hyperscaling relation in some other cases. We believe that more cases should be studied before a general conclusion could be drawn. This explains the question mark in the title of this review.

Funding

This research received no external funding.

Acknowledgments

The authors are grateful to X.-T. Pham-Phu and the late E. H. Boubcheur for participating in some works cited in this paper.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. (a) Layer magnetizations of layer 1 ( L 1 ), layer 2 ( L 2 ) and layer 3 ( L 3 ) (b) Layer susceptibilities, as functions of T with N z = 5 and L = 24 .
Figure 1. (a) Layer magnetizations of layer 1 ( L 1 ), layer 2 ( L 2 ) and layer 3 ( L 3 ) (b) Layer susceptibilities, as functions of T with N z = 5 and L = 24 .
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Figure 2. (a) Total magnetization, (b) Total susceptibility, versus T with N z = 5 and L = 24 .
Figure 2. (a) Total magnetization, (b) Total susceptibility, versus T with N z = 5 and L = 24 .
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Figure 3. (a) Susceptibility and (b) V 1 , as functions of T for L = 20 , 30 , . . . , 80 with N z = 11 , obtained by multiple histogram technique.
Figure 3. (a) Susceptibility and (b) V 1 , as functions of T for L = 20 , 30 , . . . , 80 with N z = 11 , obtained by multiple histogram technique.
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Figure 4. Maximum of V 1 versus L in the ln ln scale. The slopes are indicated on the figure.
Figure 4. Maximum of V 1 versus L in the ln ln scale. The slopes are indicated on the figure.
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Figure 5. Exponent ν versus N z .
Figure 5. Exponent ν versus N z .
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Figure 6. Maximum of susceptibility versus L in the ln ln scale. The slopes give γ / ν indicated on the figure.
Figure 6. Maximum of susceptibility versus L in the ln ln scale. The slopes give γ / ν indicated on the figure.
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Figure 7. Exponent γ versus N z .
Figure 7. Exponent γ versus N z .
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Figure 8. ln ( C v max C 0 ) versus ln L for N z = 1 , 3 , 5 , . . . , 13 . The slope gives α / ν (see Eq. 9) indicated on the figure.
Figure 8. ln ( C v max C 0 ) versus ln L for N z = 1 , 3 , 5 , . . . , 13 . The slope gives α / ν (see Eq. 9) indicated on the figure.
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Figure 9. (a) V 1 m a x and (b) χ m a x vs L up to 160 with N z = 3 .
Figure 9. (a) V 1 m a x and (b) χ m a x vs L up to 160 with N z = 3 .
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Figure 10. χ m a x vs L (a) from 20 up to 160 (b) from 70 up to 160, for N z = 3 .
Figure 10. χ m a x vs L (a) from 20 up to 160 (b) from 70 up to 160, for N z = 3 .
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Figure 11. Exponent β as a function of the film thickness.
Figure 11. Exponent β as a function of the film thickness.
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Figure 12. Effective dimension d e f f of thin film defined by d e f f ν = 2 α , as a function of thickness. See text for comments.
Figure 12. Effective dimension d e f f of thin film defined by d e f f ν = 2 α , as a function of thickness. See text for comments.
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Figure 13. Critical temperature at infinite L, T c ( L = , N z ) , versus N z . MC results are shown by points, continuous line is the prediction of Capehart and Fisher, Eq. (17). The agreement is excellent.
Figure 13. Critical temperature at infinite L, T c ( L = , N z ) , versus N z . MC results are shown by points, continuous line is the prediction of Capehart and Fisher, Eq. (17). The agreement is excellent.
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Figure 14. Maximum of V 1 versus L in the ln ln scale for N z = 5 : (a) without PBC in z direction (b) with PBC in z direction. The slopes are indicated on the figure.
Figure 14. Maximum of V 1 versus L in the ln ln scale for N z = 5 : (a) without PBC in z direction (b) with PBC in z direction. The slopes are indicated on the figure.
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Figure 15. χ m a x versus L in the ln ln scale for N z = 5 (a) without PBC in z direction (b) with PBC in z direction. The data points of two cases are not distinguishable in the figure scale. The slopes are indicated on the figure.
Figure 15. χ m a x versus L in the ln ln scale for N z = 5 (a) without PBC in z direction (b) with PBC in z direction. The data points of two cases are not distinguishable in the figure scale. The slopes are indicated on the figure.
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Figure 16. (a) Energy of the bulk case vs T for L × L × L = 12 3 FCC cells, i. E. the number of spins is 4 L 3 ; (b) Energy histogram with periodic boundary conditions in all three directions (continuous line) and without PBC (dotted line) in z direction. The histogram was recorded at the transition temperature T c for each case (indicated on the figure).
Figure 16. (a) Energy of the bulk case vs T for L × L × L = 12 3 FCC cells, i. E. the number of spins is 4 L 3 ; (b) Energy histogram with periodic boundary conditions in all three directions (continuous line) and without PBC (dotted line) in z direction. The histogram was recorded at the transition temperature T c for each case (indicated on the figure).
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Figure 17. Energy histogram for L = 20 , 30 , 40 with film thickness of 8 atomic layers at T = 1.8218 , 1.8223 , 1.8227 , respectively.
Figure 17. Energy histogram for L = 20 , 30 , 40 with film thickness of 8 atomic layers at T = 1.8218 , 1.8223 , 1.8227 , respectively.
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Figure 18. The latent heat Δ E as a function of thickness L z = 2 N z (points are MC results). The latent heat goes to zero at N z = 2 , i.e. at L z = 4 atomic layers. The continuous line is the fitted function Eq . (18).
Figure 18. The latent heat Δ E as a function of thickness L z = 2 N z (points are MC results). The latent heat goes to zero at N z = 2 , i.e. at L z = 4 atomic layers. The continuous line is the fitted function Eq . (18).
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Figure 19. Energy versus temperature T for L = 120 for a 4-layer film.
Figure 19. Energy versus temperature T for L = 120 for a 4-layer film.
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Figure 20. Layer magnetizations for L = 120 with a 4-layer film: the higher (lower) curve is the surface (beneath) layer magnetization.
Figure 20. Layer magnetizations for L = 120 with a 4-layer film: the higher (lower) curve is the surface (beneath) layer magnetization.
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Figure 21. Specific heat are shown for various linear x y plane sizes L versus T for a 4-layer film.
Figure 21. Specific heat are shown for various linear x y plane sizes L versus T for a 4-layer film.
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Figure 22. Susceptibilities of the first layer (a) and the second layer (b) are shown for various sizes L, versus T in a 4-layer film.
Figure 22. Susceptibilities of the first layer (a) and the second layer (b) are shown for various sizes L, versus T in a 4-layer film.
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Figure 23. Energy histograms recorded at temperatures (indicated on the figure) corresponding to the the first (a) and second (b) peaks observed in the specific heat, for L = 120 with 4-layer film thickness L z = 4 .
Figure 23. Energy histograms recorded at temperatures (indicated on the figure) corresponding to the the first (a) and second (b) peaks observed in the specific heat, for L = 120 with 4-layer film thickness L z = 4 .
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Figure 24. The maximum value of V 1 as a function of L in the ln ln scale. The slope of this straight line gives 1 / ν . See the value of ν in the text.
Figure 24. The maximum value of V 1 as a function of L in the ln ln scale. The slope of this straight line gives 1 / ν . See the value of ν in the text.
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Figure 25. The maximum of the susceptibility χ max as a function of L in the ln ln scale. The slope of this straight line gives γ / ν . See the value of γ in the text.
Figure 25. The maximum of the susceptibility χ max as a function of L in the ln ln scale. The slope of this straight line gives γ / ν . See the value of γ in the text.
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Figure 26. The square lattice: single (double) bonds are ferromagnetic (antiferromagnetic) bonds. The GS spin configuration is shown by red arrows. The right and left chiralities are denoted by "+" and "-".
Figure 26. The square lattice: single (double) bonds are ferromagnetic (antiferromagnetic) bonds. The GS spin configuration is shown by red arrows. The right and left chiralities are denoted by "+" and "-".
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Figure 27. The Binder energy cumulant U E versus L calculated at T c ( L = ) = 0.4552 ( 2 ) . The horizontal line indicates U E ( L = ) = 2 / 3 . The results show that the transition is of second order.
Figure 27. The Binder energy cumulant U E versus L calculated at T c ( L = ) = 0.4552 ( 2 ) . The horizontal line indicates U E ( L = ) = 2 / 3 . The results show that the transition is of second order.
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Figure 28. Susceptibility χ versus T for sizes L = 44 , 52 , 60 , 84 , 100 , 140 (from lowest to highest curves). The red vertical line is the position of T c ( L = ) calculated with Eq. (TCL) using ν obtained by Figure 29 below.
Figure 28. Susceptibility χ versus T for sizes L = 44 , 52 , 60 , 84 , 100 , 140 (from lowest to highest curves). The red vertical line is the position of T c ( L = ) calculated with Eq. (TCL) using ν obtained by Figure 29 below.
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Figure 29. The maximum of cumulants V 1 and V 2 versus size L = 44 , 52 , 60 , 84 , 100 , 140 in the ln l n scale. The slopes give the same 1 / ν . See text for the value of ν .
Figure 29. The maximum of cumulants V 1 and V 2 versus size L = 44 , 52 , 60 , 84 , 100 , 140 in the ln l n scale. The slopes give the same 1 / ν . See text for the value of ν .
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Figure 30. The maximum of susceptibility χ versus size L = 44 , 52 , 60 , 84 , 100 , 140 in the ln l n scale. The slope indicates the value of γ / ν . See text for the value of γ .
Figure 30. The maximum of susceptibility χ versus size L = 44 , 52 , 60 , 84 , 100 , 140 in the ln l n scale. The slope indicates the value of γ / ν . See text for the value of γ .
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Table 1. Critical exponents obtained by multti-histogram technique. The effective dimension and critical temperature T c ( L = , N z ) are listed in the last two columns. See text for the definition of the effective dimension d e f f .
Table 1. Critical exponents obtained by multti-histogram technique. The effective dimension and critical temperature T c ( L = , N z ) are listed in the last two columns. See text for the definition of the effective dimension d e f f .
N z ν γ α β d eff T c ( L = , N z )
1 0.9990 ± 0.0028 1.7520 ± 0.0062 0.00199 ± 0.00279 0.1266 ± 0.0049 2.0000 ± 0.0028 2.2699 ± 0.0005
3 0.9922 ± 0.0019 1.7377 ± 0.0035 0.00222 ± 0.00192 0.1452 ± 0.0040 2.0135 ± 0.0019 3.6365 ± 0.0024
5 0.9876 ± 0.0023 1.7230 ± 0.0069 0.00222 ± 0.00234 0.1639 ± 0.0051 2.0230 ± 0.0023 4.0234 ± 0.0028
7 0.9828 ± 0.0024 1.7042 ± 0.0087 0.00223 ± 0.00238 0.1798 ± 0.0069 2.0328 ± 0.0024 4.1939 ± 0.0032
9 0.9780 ± 0.0016 1.6736 ± 0.0084 0.00224 ± 0.00161 0.1904 ± 0.0071 2.0426 ± 0.0016 4.2859 ± 0.0022
11 0.9733 ± 0.0025 1.6354 ± 0.0083 0.00224 ± 0.00256 0.1995 ± 0.0088 2.0526 ± 0.0026 4.3418 ± 0.0032
13 0.9692 ± 0.0026 1.6122 ± 0.0102 0.00226 ± 0.00268 0.2059 ± 0.0092 2.0613 ± 0.0027 4.3792 ± 0.0034
Table 2. Critical exponents obtained by multti-histogram technique for different Q. a: Results from Ref. [40], b: Results from Ref. [41]
Table 2. Critical exponents obtained by multti-histogram technique for different Q. a: Results from Ref. [40], b: Results from Ref. [41]
Q α β ν γ η
8 0.140 ( 1 ) 0.310 ( 1 ) 0.620 ( 5 ) 1.245 ( 5 ) 0.01 ( 1 )
5 0.141 ( 5 ) 0.301 ( 5 ) 0.620 ( 5 ) 1.259 ( 5 ) 0.03 ( 1 )
4 0.135 ( 6 ) 0.308 ( 5 ) 0.622 ( 5 ) 1.249 ( 5 ) 0.01 ( 1 )
3D Ising 0.1070 ( a ) 0.3265 ( b ) 0.6305 ( b ) 1.2390 ( b ) 0.0370 ( b )
3 0.024 ( 4 ) 0.353 ( 5 ) 0.675 ( 5 ) 1.314 ( 5 ) 0.053 ( 5 )
3D XY 0.0100 ( a ) 0.3455 ( b ) 0.671 ( b ) 1.3150 ( b ) 0.040 ( b )
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