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The Class Matrix

The Class Matrix
Author: Vivek Chibber
Publisher: Harvard University Press
Total Pages: 216
Release: 2022-02-08
Genre: Social Science
ISBN: 0674269845

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An influential sociologist revives materialist explanations of class, while accommodating the best of rival cultural theory. Following the collapse of the Soviet Union, analysis of class and other basic structures of capitalism was sidelined by theorists who argued that social and economic life is reducible to culture—that our choices reflect interpretations of the world around us rather than the limitations imposed by basic material facts. Today, capitalism is back on the agenda, as gross inequalities in wealth and power have pushed scholars to reopen materialist lines of inquiry. But it would be a mistake to pretend that the cultural turn never happened. Vivek Chibber instead engages cultural theory seriously, proposing a fusion of materialism and the most useful insights of its rival. Chibber shows that it is possible to accommodate the main arguments from the cultural turn within a robust materialist framework: one can agree that the making of meaning plays an important role in social agency, while still recognizing the fundamental power of class structure and class formation. Chibber vindicates classical materialism by demonstrating that it in fact accounts for phenomena cultural theorists thought it was powerless to explain. But he also shows that aspects of class are indeed centrally affected by cultural factors. The Class Matrix does not seek to displace culture from the analysis of modern capitalism. Rather, in prose of exemplary clarity, Chibber gives culture its due alongside what Marx called “the dull compulsion of economic relations.”


The Class Matrix

The Class Matrix
Author: Vivek Chibber
Publisher: Harvard University Press
Total Pages: 216
Release: 2022-02-08
Genre: HISTORY
ISBN: 067424513X

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Class structure -- Class formation -- Consent, coercion, and resignation -- Agency, contingency, and all that -- How capitalism endures.


Combinatorial Matrix Classes

Combinatorial Matrix Classes
Author: Richard A. Brualdi
Publisher: Cambridge University Press
Total Pages: 26
Release: 2006-08-10
Genre: Mathematics
ISBN: 0521865654

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A natural sequel to the author's previous book Combinatorial Matrix Theory written with H. J. Ryser, this is the first book devoted exclusively to existence questions, constructive algorithms, enumeration questions, and other properties concerning classes of matrices of combinatorial significance. Several classes of matrices are thoroughly developed including the classes of matrices of 0's and 1's with a specified number of 1's in each row and column (equivalently, bipartite graphs with a specified degree sequence), symmetric matrices in such classes (equivalently, graphs with a specified degree sequence), tournament matrices with a specified number of 1's in each row (equivalently, tournaments with a specified score sequence), nonnegative matrices with specified row and column sums, and doubly stochastic matrices. Most of this material is presented for the first time in book format and the chapter on doubly stochastic matrices provides the most complete development of the topic to date.


Matrix Calculus and Kronecker Product with Applications and C++ Programs

Matrix Calculus and Kronecker Product with Applications and C++ Programs
Author: Willi-Hans Steeb
Publisher: World Scientific
Total Pages: 270
Release: 1997
Genre: Science
ISBN: 9789810232412

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The Kronecker product of matrices plays a central role in mathematics and in applications found in engineering and theoretical physics. These applications are signal processing, statistical physics, quantum groups and quantum computers. This book provides a comprehensive introduction to the Kronecker product of matrices together with its software implementation in C++ using an object-oriented design.


Matrix Analysis

Matrix Analysis
Author: Roger A. Horn
Publisher: Cambridge University Press
Total Pages: 580
Release: 1990-02-23
Genre: Mathematics
ISBN: 9780521386326

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Matrix Analysis presents the classical and recent results for matrix analysis that have proved to be important to applied mathematics.


Matrix Computations and Semiseparable Matrices

Matrix Computations and Semiseparable Matrices
Author: Raf Vandebril
Publisher: JHU Press
Total Pages: 594
Release: 2008-01-14
Genre: Mathematics
ISBN: 0801896797

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In recent years several new classes of matrices have been discovered and their structure exploited to design fast and accurate algorithms. In this new reference work, Raf Vandebril, Marc Van Barel, and Nicola Mastronardi present the first comprehensive overview of the mathematical and numerical properties of the family's newest member: semiseparable matrices. The text is divided into three parts. The first provides some historical background and introduces concepts and definitions concerning structured rank matrices. The second offers some traditional methods for solving systems of equations involving the basic subclasses of these matrices. The third section discusses structured rank matrices in a broader context, presents algorithms for solving higher-order structured rank matrices, and examines hybrid variants such as block quasiseparable matrices. An accessible case study clearly demonstrates the general topic of each new concept discussed. Many of the routines featured are implemented in Matlab and can be downloaded from the Web for further exploration.


Matrix Diagonal Stability in Systems and Computation

Matrix Diagonal Stability in Systems and Computation
Author: Eugenius Kaszkurewicz
Publisher: Springer Science & Business Media
Total Pages: 279
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461213460

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This monograph presents a collection of results, observations, and examples related to dynamical systems described by linear and nonlinear ordinary differential and difference equations. In particular, dynamical systems that are susceptible to analysis by the Liapunov approach are considered. The naive observation that certain "diagonal-type" Liapunov functions are ubiquitous in the literature attracted the attention of the authors and led to some natural questions. Why does this happen so often? What are the spe cial virtues of these functions in this context? Do they occur so frequently merely because they belong to the simplest class of Liapunov functions and are thus more convenient, or are there any more specific reasons? This monograph constitutes the authors' synthesis of the work on this subject that has been jointly developed by them, among others, producing and compiling results, properties, and examples for many years, aiming to answer these questions and also to formalize some of the folklore or "cul ture" that has grown around diagonal stability and diagonal-type Liapunov functions. A natural answer to these questions would be that the use of diagonal type Liapunov functions is frequent because of their simplicity within the class of all possible Liapunov functions. This monograph shows that, although this obvious interpretation is often adequate, there are many in stances in which the Liapunov approach is best taken advantage of using diagonal-type Liapunov functions. In fact, they yield necessary and suffi cient stability conditions for some classes of nonlinear dynamical systems.


Statistical Inference, Econometric Analysis and Matrix Algebra

Statistical Inference, Econometric Analysis and Matrix Algebra
Author: Bernhard Schipp
Publisher: Springer Science & Business Media
Total Pages: 438
Release: 2008-11-27
Genre: Mathematics
ISBN: 3790821217

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This Festschrift is dedicated to Götz Trenkler on the occasion of his 65th birthday. As can be seen from the long list of contributions, Götz has had and still has an enormous range of interests, and colleagues to share these interests with. He is a leading expert in linear models with a particular focus on matrix algebra in its relation to statistics. He has published in almost all major statistics and matrix theory journals. His research activities also include other areas (like nonparametrics, statistics and sports, combination of forecasts and magic squares, just to mention afew). Götz Trenkler was born in Dresden in 1943. After his school years in East G- many and West-Berlin, he obtained a Diploma in Mathematics from Free University of Berlin (1970), where he also discovered his interest in Mathematical Statistics. In 1973, he completed his Ph.D. with a thesis titled: On a distance-generating fu- tion of probability measures. He then moved on to the University of Hannover to become Lecturer and to write a habilitation-thesis (submitted 1979) on alternatives to the Ordinary Least Squares estimator in the Linear Regression Model, a topic that would become his predominant ?eld of research in the years to come.


Basics of Matrix Algebra for Statistics with R

Basics of Matrix Algebra for Statistics with R
Author: Nick Fieller
Publisher: CRC Press
Total Pages: 159
Release: 2018-09-03
Genre: Mathematics
ISBN: 1315360055

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A Thorough Guide to Elementary Matrix Algebra and Implementation in R Basics of Matrix Algebra for Statistics with R provides a guide to elementary matrix algebra sufficient for undertaking specialized courses, such as multivariate data analysis and linear models. It also covers advanced topics, such as generalized inverses of singular and rectangular matrices and manipulation of partitioned matrices, for those who want to delve deeper into the subject. The book introduces the definition of a matrix and the basic rules of addition, subtraction, multiplication, and inversion. Later topics include determinants, calculation of eigenvectors and eigenvalues, and differentiation of linear and quadratic forms with respect to vectors. The text explores how these concepts arise in statistical techniques, including principal component analysis, canonical correlation analysis, and linear modeling. In addition to the algebraic manipulation of matrices, the book presents numerical examples that illustrate how to perform calculations by hand and using R. Many theoretical and numerical exercises of varying levels of difficulty aid readers in assessing their knowledge of the material. Outline solutions at the back of the book enable readers to verify the techniques required and obtain numerical answers. Avoiding vector spaces and other advanced mathematics, this book shows how to manipulate matrices and perform numerical calculations in R. It prepares readers for higher-level and specialized studies in statistics.