Vlok, JDOlivier, JC2013-01-282013-01-282012-08-14Vlok, JD and Olivier, JC. 2012. Analytic approximation to the largest eigenvalue distribution of a white Wishart matrix. IET Communications, vol. 6(12), pp. 1804-18111751-86281751-8628http://digital-library.theiet.org/content/journals/10.1049/iet-com.2011.0843http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6353031http://hdl.handle.net/10204/6451Copyright: 2012 IET. This is the postprint version of the work. The definitive version is published in IET Communications, vol. 6(12), pp. 1804-1811Eigenvalue distributions of Wishart matrices are given in the literature as functions or distributions defined in terms of matrix arguments requiring numerical evaluation. As a result the relationship between parameter values and statistics is not available analytically and the complexity of the numerical evaluation involved may limit the implementation, evaluation and use of eigenvalue techniques using Wishart matrices. This paper presents analytic expressions that approximate the distribution of the largest eigenvalue of white Wishart matrices and the corresponding sample covariance matrices. It is shown that the desired expression follows from an approximation to the Tracy-Widom distribution in terms of the Gamma distribution. The approximation offers largely simplified computation and provides statistics such as the mean value and region of support of the largest eigenvalue distribution. Numeric results from the literature are compared with the approximation and Monte Carlo simulation results are presented to illustrate the accuracy of the proposed analytic approximation.enEigenvalue distributionWishart matricesPCAPrincipal component analysisTracy-Widom distributionArticleVlok, J., & Olivier, J. (2012). Analytic approximation to the largest eigenvalue distribution of a white Wishart matrix. http://hdl.handle.net/10204/6451Vlok, JD, and JC Olivier "Analytic approximation to the largest eigenvalue distribution of a white Wishart matrix." (2012) http://hdl.handle.net/10204/6451Vlok J, Olivier J. Analytic approximation to the largest eigenvalue distribution of a white Wishart matrix. 2012; http://hdl.handle.net/10204/6451.TY - Article AU - Vlok, JD AU - Olivier, JC AB - Eigenvalue distributions of Wishart matrices are given in the literature as functions or distributions defined in terms of matrix arguments requiring numerical evaluation. As a result the relationship between parameter values and statistics is not available analytically and the complexity of the numerical evaluation involved may limit the implementation, evaluation and use of eigenvalue techniques using Wishart matrices. This paper presents analytic expressions that approximate the distribution of the largest eigenvalue of white Wishart matrices and the corresponding sample covariance matrices. It is shown that the desired expression follows from an approximation to the Tracy-Widom distribution in terms of the Gamma distribution. The approximation offers largely simplified computation and provides statistics such as the mean value and region of support of the largest eigenvalue distribution. Numeric results from the literature are compared with the approximation and Monte Carlo simulation results are presented to illustrate the accuracy of the proposed analytic approximation. DA - 2012-08-14 DB - ResearchSpace DP - CSIR KW - Eigenvalue distribution KW - Wishart matrices KW - PCA KW - Principal component analysis KW - Tracy-Widom distribution LK - https://researchspace.csir.co.za PY - 2012 SM - 1751-8628 SM - 1751-8628 T1 - Analytic approximation to the largest eigenvalue distribution of a white Wishart matrix TI - Analytic approximation to the largest eigenvalue distribution of a white Wishart matrix UR - http://hdl.handle.net/10204/6451 ER -