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{{Expert-subject|Mathematics|date=June 2013}}


The '''Tracy–Widom distribution''', introduced by {{harvs |first1=Craig |last1=Tracy |author1-link=Craig Tracy |first2=Harold |last2=Widom |author2-link=Harold Widom |year1=1993 |year2=1994 |txt}}, is the [[probability distribution]] of the largest [[eigenvalue]] of a [[Gaussian unitary ensemble|random hermitian matrix]] in the edge scaling limit.{{clarify|What is the 'edge scaling limit'?
|date=March 2011}} It also appears in the distribution of the length of the [[longest increasing subsequence]] of random [[permutation]]s {{harv|Baik|Deift|Johansson|1999}} and in current fluctuations of the [[asymmetric simple exclusion process]] (ASEP) with step initial condition ({{harvnb|Johansson|2000}}, {{harvnb|Tracy|Widom|2009}}). See ({{harvnb|Takeuchi|Sano|2010}}, {{harvnb|Takeuchi|Sano|Sasamoto|Spohn|2011}}) for experimental testing (and verifying) that the interface fluctuations of a growing droplet (or substrate) are described by the TW distribution <math> F_2</math> (or <math>F_1</math>) as predicted by ({{harvnb|Prähofer|Spohn|2000}}).


The [[cumulative distribution function]] of the Tracy–Widom distribution can be given as the [[Fredholm determinant]]
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:<math>F_2(s) = \det(I - A_s)\,</math>
 
of the operator ''A''<sub>''s''</sub> on square integrable function on the half line (''s'',&nbsp;∞) with kernel given in terms of [[Airy function]]s Ai by
 
:<math>\frac{\mathrm{Ai}(x)\mathrm{Ai}'(y) - \mathrm{Ai}'(x)\mathrm{Ai}(y)}{x-y}.\,</math>
 
It can also be given as an integral
 
:<math>F_2(s) = \exp\left(-\int_s^\infty (x-s)q^2(x)\,dx\right)</math>
 
in terms of a solution of a [[Painlevé equation]] of type II
 
:<math>q^{\prime\prime}(s) = sq(s)+2q(s)^3\,</math>
where ''q'', called the Hastings-McLeod solution, satisfies the boundary condition
:<math>\displaystyle q(s) \sim \textrm{Ai}(s), s\rightarrow\infty.</math>
 
The distribution ''F''<sub>2</sub> is associated to unitary ensembles in random matrix theory. There are analogous Tracy–Widom distributions ''F''<sub>1</sub> and ''F''<sub>4</sub> for orthogonal (β=1) and symplectic ensembles (β=4) that are also expressible in terms of the same [[Painlevé transcendent]] ''q'' {{harv|Tracy|Widom|1996}}:
:<math>F_1(s)=\exp\left(-\frac{1}{2}\int_s^\infty q(x)\,dx\right)\, \left(F_2(s)\right)^{1/2}</math>
and
:<math>F_4(s/\sqrt{2})=\cosh\left(\frac{1}{2}\int_s^\infty q(x)\, dx\right)\, \left(F_2(s)\right)^{1/2}.</math>
 
The distribution ''F''<sub>''1''</sub> is of particular interest in [[multivariate statistics]] {{harv|Johnstone|2007, 2008, 2009}}. For a discussion of the universality of ''F''<sub>β</sub>, β=1,2, and 4, see {{harvtxt|Deift|2007}}. For an application of ''F''<sub>1</sub> to inferring population structure from genetic data see {{harvtxt|Patterson|Price|Reich|2006}}.
 
Numerical techniques for obtaining numerical solutions to the Painlevé equations of the types II and V, and numerically evaluating eigenvalue distributions of random matrices in the beta-ensembles were first presented by {{harvtxt|Edelman|Persson|2005}} using [[MATLAB]]. These approximation techniques were further analytically justified in {{harvtxt|Bejan|2005}} and used to provide numerical evaluation of Painlevé II and Tracy–Widom distributions (for β=1,2, and 4) in [[S-PLUS]]. These distributions have been tabulated in {{harvtxt|Bejan|2005}} to four significant digits for values of the argument in increments of 0.01; a statistical table for p-values was also given in this work. {{harvtxt|Bornemann|2009}} gave accurate and fast algorithms for the numerical evaluation of ''F''<sub>β</sub> and the density functions ''f<sub>β</sub>(s)=dF<sub>β</sub>/ds'' for β=1,2, and 4.  These algorithms can be used to compute numerically the [[mean]], [[variance]], [[skewness]] and [[kurtosis]] of the distributions ''F''<sub>β</sub>.
 
{| class="wikitable" border="1"
|-
! β
! Mean
! Variance
! Skewness
! Kurtosis
|-
| 1
| -1.2065335745820
| 1.607781034581
| 0.29346452408
| 0.1652429384
|-
|  2
| -1.771086807411
| 0.8131947928329
| 0.224084203610
| 0.0934480876
|-
|4
| -2.306884893241
| 0.5177237207726
| 0.16550949435
| 0.0491951565
|}
 
Functions for working with the Tracy-Widom laws are also presented in the R package 'RMTstat' by {{harvtxt|Johnstone|Ma|Perry|Shahram|2009}} and MATLAB package 'RMLab' by {{harvtxt|Dieng|2006}}.
 
For an extension of the definition of the Tracy–Widom distributions ''F''<sub>β</sub> to all β>0 see {{harvtxt|Ramírez|Rider| Virág|2006}}.
 
For a simple approximation based on a shifted gamma distribution see {{harvtxt|Chiani|2012}}.
 
==References==
*{{Citation
| last1=Baik | first1=J.
| last2=Deift | first2=P.
| last3=Johansson | first3=K.
| year=1999
| title=On the distribution of the length of the longest increasing subsequence of random permutations
| journal=[[Journal of the American Mathematical Society]]
| volume=12 | issue=4 | pages=1119–1178
| doi=10.1090/S0894-0347-99-00307-0
| jstor=2646100
| mr=1682248
}}.
*{{Citation
|last=Deift | first=P.
|year=2007
|contribution=Universality for mathematical and physical systems
|url=http://www.icm2006.org/proceedings/Vol_I/11.pdf
|title = [[International Congress of Mathematicians]] (Madrid, 2006)
|pages=125–152
|publisher=[[European Mathematical Society]]
|mr=2334189
}}.
*{{Citation
|last=Johansson |first=K.
|year=2000
|title=Shape fluctuations and random matrices
|journal=[[Communications in Mathematical Physics]]
|volume=209 |issue=2 |pages=437–476
|doi=10.1007/s002200050027
|arxiv = math/9903134 |bibcode = 2000CMaPh.209..437J }}.
*{{citation
| last = Johansson | first = K.
| year = 2002
| contribution = Toeplitz determinants, random growth and determinantal processes
| title = Proc. [[International Congress of Mathematicians]] (Beijing, 2002)
| volume = 3 | pages = 53–62
| location = Beijing
| publisher = Higher Ed. Press
| mr = 1957518
}}.
*{{Citation
| last =Johnstone | first = I. M.
| year=2007
| contribution = High dimensional statistical inference and random matrices
| url=http://www.icm2006.org/proceedings/Vol_I/17.pdf
| pages=307–333
| publisher = [[European Mathematical Society]]
| title = [[International Congress of Mathematicians]] (Madrid, 2006)
| mr =2334195
}}.
*{{citation
|last=Johnstone |first=I. M.
|year=2008
|title=Multivariate analysis and Jacobi ensembles: largest eigenvalue, Tracy-Widom limits and rates of convergence
|journal=[[Annals of Statistics]]
|volume=36 |issue=6 |pages=2638–2716
|arxiv=0803.3408
|doi=10.1214/08-AOS605
|pmid=20157626
|pmc=2821031
}}.
*{{Citation
| last=Johnstone | first = I. M.
| year = 2009
| title = Approximate null distribution of the largest root in multivariate analysis
| journal = [[Annals of Applied Statistics]]
| volume= 3 | issue=4 |pages =1616–1633
| arxiv=1009.5854
| doi=10.1214/08-AOAS220
| pmc=2880335
| pmid=20526465
}}.
*{{Citation
|last1=Patterson |first1=N.
|last2=Price |first2=A. L.
|last3=Reich |first3=D. |author3-link=David Reich (geneticist)
|year=2006
|title=Population structure and eigenanalysis
|journal=[[PLoS Genetics]]
|volume=2 |issue=12 |pages=e190
|doi=10.1371/journal.pgen.0020190
|pmc=1713260
|pmid=17194218
}}.
*{{Citation
|last1=Prähofer |first1=M.
|last2=Spohn |first2=H.
|year=2000
|title=Universal distributions for growing processes in 1+1 dimensions and random matrices
|journal=[[Physical Review Letters]]
|volume=84 |issue=21 |pages=4882–4885
|doi=10.1103/PhysRevLett.84.4882
|pmid=10990822 |bibcode=2000PhRvL..84.4882P
|arxiv = cond-mat/9912264 }}.
*{{Citation
|last1=Takeuchi |first1=K.  A.
|last2=Sano |first2=M.
|year=2010
|title=Universal fluctuations of growing interfaces: Evidence in turbulent liquid crystals
|journal=[[Physical Review Letters]]
|volume=104 |issue=23 |pages=230601
|doi=10.1103/PhysRevLett.104.230601
|pmid=20867221 |bibcode=2010PhRvL.104w0601T
|arxiv = 1001.5121 }}
*{{Citation
|last1=Takeuchi |first1=K. A.
|last2=Sano |first2=M.
|last3=Sasamoto |first3=T.
|last4=Spohn |first4=H.
|year=2011
|title=Growing interfaces uncover universal fluctuations behind scale invariance
|journal=[[Scientific Reports]]
|volume=1 |pages=34
|doi=10.1038/srep00034
|arxiv = 1108.2118 |bibcode = 2011NatSR...1E..34T }}
*{{Citation
| last1=Tracy | first1=C. A.| author1-link=Craig Tracy
| last2=Widom | first2=H. |author2-link=Harold Widom
| year=1993
| title=Level-spacing distributions and the Airy kernel
| journal=[[Physics Letters B]]
| volume = 305 | issue=1-2 | pages=115–118
| arxiv=hep-th/9210074
| doi=10.1016/0370-2693(93)91114-3
|bibcode = 1993PhLB..305..115T }}.
*{{Citation
| last1=Tracy | first1=C. A. | author1-link = Craig Tracy
| last2=Widom | first2=H. | author2-link = Harold Widom
| year=1994
| title=Level-spacing distributions and the Airy kernel
| journal=[[Communications in Mathematical Physics]]
| volume=159 | issue=1 | pages=151–174
| doi=10.1007/BF02100489
| mr=1257246
|arxiv = hep-th/9211141 |bibcode = 1994CMaPh.159..151T }}.
*{{Citation
| last1=Tracy | first1=C. A. | author1-link=Craig Tracy
| last2=Widom | first2=H. | author2-link = Harold Widom
| title=On orthogonal and symplectic matrix ensembles
| year=1996
| journal=[[Communications in Mathematical Physics]]
| volume=177 | issue=3 | pages=727–754
| doi=10.1007/BF02099545
| mr=1385083
|bibcode = 1996CMaPh.177..727T }}.
*{{citation
| last1 = Tracy | first1 = C. A. | author1-link = Craig Tracy
| last2 = Widom | first2 = H. | author2-link = Harold Widom
| year = 2002
| contribution = Distribution functions for largest eigenvalues and their applications
| title = Proc. [[International Congress of Mathematicians]] (Beijing, 2002)
| volume = 1 | pages = 587–596
| location = Beijing
| publisher = Higher Ed. Press
| mr = 1989209
}}.
*{{Citation
| last1=Tracy | first1=C. A. | author1-link = Craig Tracy
| last2=Widom | first2=H. | author2-link = Harold Widom
| year=2009
| title=Asymptotics in ASEP with step initial condition
| journal=[[Communications in Mathematical Physics]]
| volume=290 |issue=1 | pages=129–154
| doi=10.1007/s00220-009-0761-0
|arxiv = 0807.1713 |bibcode = 2009CMaPh.290..129T }}.
 
==Additional reading==
*{{Citation
| last=Bejan | first=Andrei Iu.
| year=2005
| title=Largest eigenvalues and sample covariance matrices. Tracy-Widom and Painleve II: Computational aspects and realization in S-Plus with applications
| series = M.Sc. dissertation
| publisher = Department of Statistics, The University of Warwick
| url=http://www.cl.cam.ac.uk/~aib29/TWinSplus.pdf
}}.
*{{Citation
|last=Bornemann |first=F.
|year=2010
|title=On the numerical evaluation of distributions in random matrix theory: A review with an invitation to experimental mathematics
|volume=16|issue=4
|pages=803–866
|journal=Markov Processes and Related Fields
|arxiv=0904.1581
|bibcode = 2009arXiv0904.1581B }}.
*{{Citation
|last=Chiani | first=M.
|year=2012
|title = Distribution of the largest eigenvalue for real Wishart and Gaussian random matrices and a simple approximation for the Tracy-Widom distribution
|arxiv=1209.3394
}}.
*{{Citation
| last1=Edelman | first1=A.
| last2=Persson | first2=P.-O.
| title= Numerical Methods for Eigenvalue Distributions of Random Matrices
| year=2005
| arxiv=math-ph/0501068
|bibcode = 2005math.ph...1068E }}.
*{{citation
|last1=Ramírez |first1=J. A.
|last2=Rider |first2=B.
|last3=Virág |first3=B.
|year=2006
|title=Beta ensembles, stochastic Airy spectrum, and a diffusion
|arxiv=math/0607331
|bibcode = 2006math......7331R }}.
 
==External links==
*{{citation
|last=Kuijlaars |first=
|title=Universality of distribution functions in random matrix theory
|url=http://web.mit.edu/sea06/agenda/talks/Kuijlaars.pdf
}}.
*{{citation
|last1=Tracy |first1=C. A. |author1-link = Craig Tracy
|last2=Widom |first2=H. |author2-link = Harold Widom
|title=The distributions of random matrix theory and their applications
|url=http://www.math.ucdavis.edu/~tracy/talks/SITE7.pdf
}}.
*{{citation
|last1=Johnstone |first1=Iain
|last2=Ma | first2=Zongming
|last3=Perry|first3=Patrick
|last4=Shahram|first4=Morteza
|title=Package 'RMTstat'
|year=2009
|url=http://cran.r-project.org/web/packages/RMTstat/RMTstat.pdf
}}.
*{{citation
|last=Dieng |first=Momar
|title=Package ``RMLab''
|year=2006
|url=http://momardieng.com/mathematics
}}.
{{ProbDistributions|continuous-infinite}}
{{DEFAULTSORT:Tracy-Widom distribution}}
[[Category:Probability distributions]]
[[Category:Random matrices]]
[[Category:Special functions]]

Latest revision as of 03:38, 28 December 2014


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