Linear Transformation
Examples and Solutions
Series: Mathematical Engineering, Manufacturing, and Management Sciences;
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83 506 Ft
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 30 December 2020
- ISBN 9780367613259
- Binding Hardback
- No. of pages90 pages
- Size 234x156 mm
- Weight 1000 g
- Language English
- Illustrations 10 Illustrations, black & white; 2 Halftones, black & white; 8 Line drawings, black & white; 10 Tables, black & white 167
Categories
Short 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 book is concise and provides examples and solutions for clear understanding of the concept.
MoreLong 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.
MoreTable of Contents:
1. Linear Transformations of Euclidean Vector Space. 2. General Linear Transformations. 3. Inverse Linear Transformations. 4. Matrices of General Linear Transformations.
More
Linear Transformation: Examples and Solutions
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