Linear Transformation - Nita H. Shah, Urmila B. Chaudhari

Linear Transformation

Examples and Solutions
Buch | Softcover
78 Seiten
2024
CRC Press (Verlag)
978-0-367-61327-3 (ISBN)
57,35 inkl. MwSt
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 book is concise and provides examples and solutions for clear understanding of the concept.
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.

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.

1. Linear Transformations of Euclidean Vector Space. 2. General Linear Transformations. 3. Inverse Linear Transformations. 4. Matrices of General Linear Transformations.

Erscheinungsdatum
Reihe/Serie Mathematical Engineering, Manufacturing, and Management Sciences
Zusatzinfo 10 Tables, black and white; 8 Line drawings, black and white; 2 Halftones, black and white; 10 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Gewicht 167 g
Themenwelt Kunst / Musik / Theater Design / Innenarchitektur / Mode
Mathematik / Informatik Mathematik Angewandte Mathematik
Technik
ISBN-10 0-367-61327-1 / 0367613271
ISBN-13 978-0-367-61327-3 / 9780367613273
Zustand Neuware
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