000 05066cam a22006138i 4500
001 9781003105206
003 FlBoTFG
005 20220711212451.0
006 m o d
007 cr |||||||||||
008 200901s2021 flu ob 001 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9781003105206
_q(ebook)
020 _a1003105203
020 _a9781000337426
_q(electronic bk. : PDF)
020 _a1000337421
_q(electronic bk. : PDF)
020 _a9781000337433
_q(electronic bk. : Mobipocket)
020 _a100033743X
_q(electronic bk. : Mobipocket)
020 _a9781000337440
_q(electronic bk. : EPUB)
020 _a1000337448
_q(electronic bk. : EPUB)
020 _z9780367613259
_q(hardback)
035 _a(OCoLC)1193559287
_z(OCoLC)1202884338
_z(OCoLC)1225556377
035 _a(OCoLC-P)1193559287
050 0 0 _aQA184.5
072 7 _aMAT
_x003000
_2bisacsh
072 7 _aTEC
_x029000
_2bisacsh
072 7 _aBUS
_x049000
_2bisacsh
072 7 _aTBC
_2bicssc
082 0 0 _a512/.5
_223
100 1 _aShah, Nita H.,
_eauthor.
_913090
245 1 0 _aLinear transformation :
_bexamples and solutions /
_cNita H. Shah and Urmila B. Chaudhari.
250 _aFirst edition.
264 1 _aBoca Raton :
_bCRC Press,
_c2021.
264 4 _c©2021
300 _a1 online resource (xi, 77 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bn
_2rdamedia
338 _aonline resource
_bnc
_2rdacarrier
490 1 _aMathematical engineering, manufacturing, and management sciences
520 _aThis 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.
505 0 _aCover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Preface -- Acknowledgements -- Authors -- Chapter 1 Linear Transformations of Euclidean Vector Space -- 1.1 Linear Transformations from R[sup(n)] to R[sup(m)] -- 1.1.1 Transformations from R[sup(n)] to R[sup(m)] -- 1.1.2 Linear Transformations from R[sup(n)] to R[sup(m)] -- 1.2 Matrix Representation of Linear Transformations -- 1.3 Different Types of Operators and their Composition -- 1.3.1 Reflection Operator -- 1.3.2 Orthogonal Projection Operator -- 1.3.3 Rotation Operator
505 8 _a1.3.4 Contraction and Dilation Operators -- 1.3.5 Shear Operator -- 1.4 Composition of Two or More Transformations -- Exercise Set 1 -- Answers to Exercise Set 1 -- Chapter 2 General Linear Transformations -- 2.1 Introduction of General Linear Transformations -- 2.1.1 Properties of Linear Transformations -- 2.2 Forming a Linear Transformation -- 2.2.1 Obtaining Linear Transformations from Basis Vectors and their Image Vectors -- 2.3 Kernel and Range of Linear Transformation T -- 2.4 Composition of the Linear Transformation -- Exercise Set 2 -- Answers to Exercise Set 2
505 8 _aChapter 3 Inverse Linear Transformation -- 3.1 One-One Transformation -- 3.1.1 Some Important Results -- 3.2 Onto Transformation -- 3.3 Isomorphism -- 3.4 Inverse Linear Transformation -- Exercise Set 3 -- Answers to Exercise Set 3 -- Chapter 4 Matrices of General Linear Transformations -- 4.1 Matrix of General Transformations -- 4.2 Similarity -- 4.2.1 Effect of Changing Bases on Matrices of Linear Operators -- Exercise Set 4 -- Answers to Exercise Set 4 -- Multiple-Choice Questions on Linear Transformation -- Bibliography -- Index
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aAlgebras, Linear
_vProblems, exercises, etc.
_916797
650 0 _aLinear operators.
_916798
650 7 _aMATHEMATICS / Applied
_2bisacsh
_96859
650 7 _aTECHNOLOGY / Operations Research
_2bisacsh
_910871
650 7 _aBUSINESS & ECONOMICS / Operations Research
_2bisacsh
_916799
700 1 _aChaudhari, Urmila B.,
_eauthor.
_916800
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003105206
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cEBK
999 _c71343
_d71343