1995
DOI: 10.1103/physrevb.52.7783
|View full text |Cite
|
Sign up to set email alerts
|

Shape analysis of the level-spacing distribution around the metal-insulator transition in the three-dimensional Anderson model

Abstract: -We present a new method for the numerical treatment of second order phase transitions using the level spacing distribution function P (s). We show that the quantities introduced originally for the shape analysis of eigenvectors can be properly applied for the description of the eigenvalues as well. The position of the metal-insulator transition (MIT) of the three dimensional Anderson model and the critical exponent are evaluated. The shape analysis of P (s) obtained numerically shows that near the MIT P (s) i… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

8
61
1

Year Published

1998
1998
2017
2017

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 56 publications
(71 citation statements)
references
References 14 publications
8
61
1
Order By: Relevance
“…[23][24][25][26][27] Now, let us proceed with the shape analysis of the P (s) function using the other two quantities q and S str . As it has been shown in a number of cases 20,22) As we can see our data indicate a similar behavior as the random-Landau matrix model. This is another nice example of the presence of one-parameter scaling since all data can be described by a one-parameter family of P (s) functions.…”
supporting
confidence: 70%
See 2 more Smart Citations
“…[23][24][25][26][27] Now, let us proceed with the shape analysis of the P (s) function using the other two quantities q and S str . As it has been shown in a number of cases 20,22) As we can see our data indicate a similar behavior as the random-Landau matrix model. This is another nice example of the presence of one-parameter scaling since all data can be described by a one-parameter family of P (s) functions.…”
supporting
confidence: 70%
“…[23][24][25][26][27] Now, let us proceed with the shape analysis of the P (s) function using the other two quantities q and S str . As it has been shown in a number of cases 20,22) these parameters apart from showing scaling and fixed point in the critical regime, as a bonus enable us to determine the one-parameter family of P (s) functions describing the transition from e.g. GUE-like to Poissonian behavior.…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…[34], in QCD the unfolded level spacing distributions P λ (s) found in different parts of the spectrum lie on a universal path in the space of probability distributions, a path that is independent of volume, temperature and lattice spacing. This can be seen by plotting two different parameters of P λ (s) against each other ("shape analysis" [50]), thus taking a two-dimensional projection of this path, which should therefore yield a universal curve. In figure 5 we plot the second moment of the unfolded spacing distribution, s 2 , against I s 0 , with each data point corresponding to a specific point in the spectrum, and to a given system size and value of the gauge coupling.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Another reason why a large number of numerical simulations of the LSD at the transition 8,9,10,11,12,13,14,15,16,17,18,19,20,21,22 were carried out during the past decade is the controversy that existed over the large-spacing tail of the critical LSD. Conclusive demonstration 12,13,21 that this tail is Poissonian, i.e., that there is no repulsion between the levels with spacings much larger than the mean value, 1 rather than super-Poissonian, 23 implying that repulsion is partially preserved, required a very high accuracy of the simulations.…”
Section: Introductionmentioning
confidence: 99%