Linear Transformation
Examples and Solutions
1st Edition
Published on 30. December 2020
Book
Hardback
78 pages
978-0-367-61325-9 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Academic, General, and Professional
Illustrations
10 s/w Tabellen, 10 s/w Abbildungen, 2 s/w Photographien bzw. Rasterbilder, 8 s/w Zeichnungen
10 Tables, black and white; 8 Line drawings, black and white; 2 Halftones, black and white; 10 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
1000 gr
ISBN-13
978-0-367-61325-9 (9780367613259)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
10/2024
1st Edition
CRC Press
€70.10
Shipment within 15-20 days
E-Book
12/2020
1st Edition
CRC Press
€64.49
Available for download
E-Book
12/2020
1st Edition
CRC Press
€64.49
Available for download
Persons
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.
Urmila B. Chaudhari, PhD, is a Lecturer in the Government Polytechnic Dahod, Gujarat, India.
Content
1. Linear Transformations of Euclidean Vector Space. 2. General Linear Transformations. 3. Inverse Linear Transformations. 4. Matrices of General Linear Transformations.