2002
DOI: 10.1103/physrevb.66.184410
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Critical behavior of the two-dimensionalN-component Landau-Ginzburg Hamiltonian with cubic anisotropy

Abstract: We study the two-dimensional N -component Landau-Ginzburg Hamiltonian with cubic anisotropy. We compute and analyze the fixed-dimension perturbative expansion of the renormalization-group functions to four loops. The relations of these models with N -color Ashkin-Teller models, discrete cubic models, planar model with fourth order anisotropy, and structural phase transition in adsorbed monolayers are discussed. Our results for N = 2 (XY model with cubic anisotropy) are compatible with the existence of a line o… Show more

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Cited by 19 publications
(52 citation statements)
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References 117 publications
(159 reference statements)
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“…[22] It then follows by continuity that the thermal disordering of the DDW phase is in the KT universality class for all 0 < t < t c . For t > t c (v < 0) we also expect a KT transition in the vicinity of t c assuming that the renormalization group (RG) flows are still governed by the XY-point; however it is possible that the system will follow RG flows directed towards the fixed line existing between the XY and the Cubic fixed point [23] and that the KT-transition will change into a line of transitions with continuously varying exponents. On further increasing t this line might terminate and become first order consistent with the fluctuation-driven first order transitions known to exist in the n-vector model.…”
mentioning
confidence: 99%
“…[22] It then follows by continuity that the thermal disordering of the DDW phase is in the KT universality class for all 0 < t < t c . For t > t c (v < 0) we also expect a KT transition in the vicinity of t c assuming that the renormalization group (RG) flows are still governed by the XY-point; however it is possible that the system will follow RG flows directed towards the fixed line existing between the XY and the Cubic fixed point [23] and that the KT-transition will change into a line of transitions with continuously varying exponents. On further increasing t this line might terminate and become first order consistent with the fluctuation-driven first order transitions known to exist in the n-vector model.…”
mentioning
confidence: 99%
“…The mappings, in particular regions of the phase diagram, with the N-color Ashkin-Teller models, discrete cubic models, and planar model with fourth order anisotropy give further information about the critical behavior. All these issues are reviewed in [3] and we will not repeat here. These features make the 2D N-vector cubic model a convenient and, perhaps, unique testbed for evaluation of the analytical and numerical power of perturbative methods widely used nowadays in the theory of critical phenomena.…”
Section: For Review)mentioning
confidence: 99%
“…The two-dimensional (2D) model with N-vector order parameter and cubic anisotropy is known to have a rich phase diagram; it contains, under different values of N and of the anisotropy parameter, the Ising-like and Kosterlitz-Thouless critical points, lines of the first-order phase transitions, and the line of the second-order transitions with continuously varying critical exponents (see, e. g. [1][2][3] …”
Section: Introductionmentioning
confidence: 99%
“…For instance, the random N-color quantum ATM can be described by an O(N ) Gross-Neveu model with random mass [16]. Similarly the relation between the two-dimensional N-component Landau-Ginzburg Hamiltonian with cubic anisotropy and N-color ATM has been discussed in [17,18].…”
Section: Introductionmentioning
confidence: 99%
“…For instance, the random N-color quantum ATM can be described by an O(N ) Gross-Neveu model with random mass [16]. Similarly the relation between the two-dimensional N-component Landau-Ginzburg Hamiltonian with cubic anisotropy and N-color ATM has been discussed in [17,18].Critical properties of the ATM has been widely investigated in literature. IATM has been investigated by mean field renormalization group technique [19,20], Monte Carlo Simulation (MC) [21,22,23,24,25,26,27], effective field theory (EFT) [28], transfer-matrix finite-size-scaling method [29], high and low temperature series expansion and MC [30], MC and renormalization group technique [31,32] and damage spreading simulation [33,34,35].…”
mentioning
confidence: 99%