02684aam a2200229 4500999001900000008004500019020001800064082001900082100002300101245003000124260002900154300002700183504037000210520148900580650002602069650002802095650002902123650004102152650004602193942001202239952020302251 c211935d211935190507b 2018 ||||| |||| 00| 0 eng d a9781138591462 a512.9434bB6P2 aBose, Arup9379089 aPatterned random matrices bCRC Pressc2018aFlorida axxi, 267p.bWith index aTable of Contents
1 A unified framework
2 Common symmetric patterned matrices
3 Patterned XX matrices
4 k-Circulant matrices
5 Wigner-type matrices
6 Balanced Toeplitz and Hankel matrices
7 Patterned band matrices
8 Triangular matrices
9 Joint convergence of i.i.d. patterned matrices
10 Joint convergence of independent patterned matrices
11 Autocovariance matrix aLarge dimensional random matrices (LDRM) with specific patterns arise in econometrics, computer science, mathematics, physics, and statistics. This book provides an easy initiation to LDRM. Through a unified approach, we investigate the existence and properties of the limiting spectral distribution (LSD) of different patterned random matrices as the dimension grows. The main ingredients are the method of moments and normal approximation with rudimentary combinatorics for support. Some elementary results from matrix theory are also used. By stretching the moment arguments, we also have a brush with the intriguing but difficult concepts of joint convergence of sequences of random matrices and its ramifications. This book covers the Wigner matrix, the sample covariance matrix, the Toeplitz matrix, the Hankel matrix, the sample autocovariance matrix and the k-Circulant matrices. Quick and simple proofs of their LSDs are provided and it is shown how the semi-circle law and the Marchenko-Pastur law arise as the LSDs of the first two matrices. Extending the basic approach, we also establish interesting limits for some triangular matrices, band matrices, balanced matrices, and the sample autocovariance matrix. We also study the joint convergence of several patterned matrices, and show that independent Wigner matrices converge jointly and are asymptotically free of other patterned matrices.
https://www.crcpress.com/Patterned-Random-Matrices/Bose/p/book/9781138591462 aProbabilities9379602 aRandom matrices9379603 aRandom variables9379604 aLinear - Multilinear algebra9379605 aProbability theory - Applications9379606 2ddccBK 00102ddc406512_943400000000000_B6P2708NFIC9358514aVSLbVSLcGENd2019-05-06e2g7.00kSlot 1368 (0 Floor, East Wing)l2o512.9434 B6P2p199347q2020-04-03r2019-12-05s2019-12-05v9560.00yBK