This book introduces linear transformation and its key results, which have applications in engineering, physics, and various branches of mathematics. Linear transformation is a difficult subject for students.
This concise text provides an in-depth overview of linear trans-formation. It provides multiple-choice questions, covers enough examples for the reader to gain a clear understanding, and includes exact methods with specific shortcuts to reach solutions for particular problems.
Research scholars and students working in the fields of engineering, physics, and different branches of mathematics need to learn the concepts of linear transformation to solve their problems. This book will serve their need instead of having to use the more complex texts that contain more concepts then needed.
The chapters mainly discuss the definition of linear transformation, properties of linear transformation, linear operators, composition of two or more linear transformations, kernels and range of linear transformation, inverse transformation, one-to-one and onto transformation, isomorphism, matrix linear transformation, and similarity of two matrices.
Table of Contents
1. Linear Transformations of Euclidean Vector Space. 2. General Linear Transformations. 3. Inverse Linear Transformations. 4. Matrices of General Linear Transformations.
Nita H. Shah, PhD, is HOD of Department of Mathematics in Gujarat University, India. She is post-doctoral visiting research fellow of University of New Brunswick, Canada. She is Vice-President of Operational Research Society of India. She is council member of Indian Mathematical Society.
Urmila B. Chaudhari, PhD, is a Lecturer in the Government Polytechnic Dahod, Gujarat, India.