**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

**n-Linear Algebra of Type II**

by

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

**InfoLearnQuest**

This book is a continuation of the book n-linear algebra of type I. Most of the properties that could not be derived or defined for n-linear algebra of type I is made possible in this new structure which is introduced in this book.

(

**6635**views)

**Differential Equations and Linear Algebra**

by

**Simon J.A. Malham**-

**Heriot-Watt University**

From the table of contents: Linear second order ODEs; Homogeneous linear ODEs; Non-homogeneous linear ODEs; Laplace transforms; Linear algebraic equations; Matrix Equations; Linear algebraic eigenvalue problems; Systems of differential equations.

(

**1358**views)

**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.

(

**7677**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.

(

**519**views)