Linear transformation : examples and solutions /

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 mult...

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Bibliographic Details
Main Authors:	Shah, Nita H. (Author), Chaudhari, Urmila B. (Author)
Corporate Author:	Taylor & Francis
Format:	eBook
Language:	English
Published:	Boca Raton : CRC Press, Taylor and Francis Group, 2021.
Edition:	First edition.
Series:	Mathematical engineering, manufacturing, and management sciences.
Subjects:	Algebras, Linear > Problems, exercises, etc. Linear operators. Algèbre linéaire > Problèmes et exercices. Opérateurs linéaires. MATHEMATICS > Applied. TECHNOLOGY > Operations Research. BUSINESS & ECONOMICS > Operations Research. Algebras, Linear Linear operators Electronic books. Problems and Exercises exercise books. Problems and exercises Problems and exercises. Problèmes et exercices.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	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.
Physical Description:	1 online resource
Bibliography:	Includes bibliographical references and index.
ISBN:	9781003105206 1003105203 9781000337426 1000337421 9781000337433 100033743X 9781000337440 1000337448