**Super Linear Algebra**

by W. B. V. Kandasamy, F. Smarandache

**Publisher**: InfoQuest 2008**ISBN/ASIN**: 1599730650**ISBN-13**: 9781599730653**Number of pages**: 293

**Description**:

In this book, the authors introduce the notion of Super linear algebra and super vector spaces using the definition of super matrices defined by Horst (1963). This book expects the readers to be well-versed in linear algebra. Many theorems on super linear algebra and its properties are proved. Some theorems are left as exercises for the reader.

Download or read it online for free here:

**Download link**

(3.7MB, PDF)

## Similar books

**Linear Algebra, Infinite Dimensions, and Maple**

by

**James V. Herod**-

**Georgia Tech**

These notes are about linear operators on Hilbert Spaces. The text is an attempt to provide a way to understand the ideas without the students already having the mathematical maturity that a good undergraduate analysis course could provide.

(

**8292**views)

**Introduction to Linear Bialgebra**

by

**W.B.V. Kandasamy, F. Smarandache, K. Ilanthenral**-

**arXiv**

This book introduced a new algebraic structure called linear bialgebra. We have ventured in this book to introduce new concepts like linear bialgebra and Smarandache neutrosophic linear bialgebra and also give the applications of these structures.

(

**7286**views)

**Numerical Methods for Large Eigenvalue Problems**

by

**Yousef Saad**-

**SIAM**

This book discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods for solving matrix eigenvalue problems that arise in various engineering applications.

(

**8415**views)

**The Hermitian Two Matrix Model with an Even Quartic Potential**

by

**M. Duits, A.B.J. Kuijlaars, M. Yue Mo**-

**American Mathematical Society**

The authors consider the two matrix model with an even quartic potential and an even polynomial potential. The main result is the formulation of a vector equilibrium problem for the limiting mean density for the eigenvalues of one of the matrices.

(

**1085**views)