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Random Matrices gives a coherent and detailed description of analytical methods devised to study random matrices. These methods are critical to the understanding of various fields in in mathematics and mathematical physics, such as nuclear excitations, ultrasonic resonances of structural materials, chaotic systems, the zeros of the Riemann and other zeta functions. More generally they apply to the characteristic energies of any sufficiently complicated system and which have found, since the publication of the second edition, many new applications in active research areas such as quantum gravity, traffic and communications networks or stock movement in the financial markets. This revised and ...
Since the publication of Random Matrices (Academic Press, 1967) so many new results have emerged both in theory and in applications, that this edition is almost completely revised to reflect the developments. For example, the theory of matrices with quaternion elements was developed to compute certain multiple integrals, and the inverse scattering theory was used to derive asymptotic results. The discovery of Selberg's 1944 paper on a multiple integral also gave rise to hundreds of recent publications. This book presents a coherent and detailed analytical treatment of random matrices, leading in particular to the calculation of n-point correlations, of spacing probabilities, and of a number ...
While a growing private sector and a vibrant civil society can help compensate for the shortcomings of India’s public sector, the state is—and will remain—indispensable in delivering basic governance. In Rethinking Public Institutions in India, distinguished political and economic thinkers critically assess a diverse array of India’s core federal institutions, from the Supreme Court and Parliament to the Election Commission and the civil services. Relying on interdisciplinary approaches and decades of practitioner experience, this volume interrogates the capacity of India’s public sector to navigate the far-reaching transformations the country is experiencing. An insightful introduction to the functioning of Indian democracy, it offers a roadmap for carrying out fundamental reforms that will be necessary for India to build a reinvigorated state for the twenty-first century.
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A rigorous introduction to the basic theory of random matrices designed for graduate students with a background in probability theory.
What happens to a country when its skilled workers emigrate? The first book to examine the complex economic, social, and political effects of emigration on India, Diaspora, Development, and Democracy provides a conceptual framework for understanding the repercussions of international migration on migrants' home countries. Devesh Kapur finds that migration has influenced India far beyond a simplistic "brain drain"--migration's impact greatly depends on who leaves and why. The book offers new methods and empirical evidence for measuring these traits and shows how data about these characteristics link to specific outcomes. For instance, the positive selection of Indian migrants through educatio...
Provides a comprehensive introduction to the theory of random orthogonal, unitary, and symplectic matrices.
Defying the Odds is about the new Dalit identity. It profiles the phenomenal rise of twenty Dalit entrepreneurs, the few who through a combination of grit, ambition, drive and hustle—and some luck—have managed to break through social, economic and practical barriers. It illustrates instances where adversity compensated for disadvantage, where working their way up from the bottom instilled in Dalit entrepreneurs a much greater resilience as well as a willingness to seize opportunities in sectors and locations eschewed by more privileged business groups. Traditional Dalit narratives are marked by struggle for identity, rights, equality and for inclusion. These inspiring stories capture both the difficulty of their circumstances as well as their extraordinary steadfastness, while bringing light to the possibilities of entrepreneurship as a tool of social empowerment.
"This book features a unified derivation of the mathematical theory of the three classical types of invariant random matrix ensembles-orthogonal, unitary, and symplectic. The authors follow the approach of Tracy and Widom, but the exposition here contains a substantial amount of additional material, in particular, facts from functional analysis and the theory of Pfaffians. The main result in the book is a proof of universality for orthogonal and symplectic ensembles corresponding to generalized Gaussian type weights following the authors' prior work. New, quantitative error estimates are derived." --Book Jacket.