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Mathematical Foundations for Linear Circuits and Systems in Engineering [Hardback]

  • Format: Hardback, 656 pages, height x width x depth: 239x160x41 mm, weight: 953 g
  • Pub. Date: 15-Mar-2016
  • Publisher: John Wiley & Sons Inc
  • ISBN-10: 1119073472
  • ISBN-13: 9781119073475
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  • Format: Hardback, 656 pages, height x width x depth: 239x160x41 mm, weight: 953 g
  • Pub. Date: 15-Mar-2016
  • Publisher: John Wiley & Sons Inc
  • ISBN-10: 1119073472
  • ISBN-13: 9781119073475
Other books in subject:
Extensive coverage of mathematical techniques used in engineering with an emphasis on applications in linear circuits and systems

Mathematical Foundations for Linear Circuits and Systems in Engineering provides an integrated approach to learning the necessary mathematics specifically used to describe and analyze linear circuits and systems. The chapters develop and examine several mathematical models consisting of one or more equations used in engineering to represent various physical systems. The techniques are discussed in-depth so that the reader has a better understanding of how and why these methods work. Specific topics covered include complex variables, linear equations and matrices, various types of signals, solutions of differential equations, convolution, filter designs, and the widely used Laplace and Fourier transforms. The book also presents a discussion of some mechanical systems that mathematically exhibit the same dynamic properties as electrical circuits. Extensive summaries of important functions and their transforms, set theory, series expansions, various identities, and the Lambert W-function are provided in the appendices.

The book has the following features:





Compares linear circuits and mechanical systems that are modeled by similar ordinary differential equations, in order to provide an intuitive understanding of different types of linear time-invariant systems. Introduces the theory of generalized functions, which are defined by their behavior under an integral, and describes several properties including derivatives and their Laplace and Fourier transforms. Contains numerous tables and figures that summarize useful mathematical expressions and example results for specific circuits and systems, which reinforce the material and illustrate subtle points. Provides access to a companion website that includes a solutions manual with MATLAB code for the end-of-chapter problems.

Mathematical Foundations for Linear Circuits and Systems in Engineering is written for upper undergraduate and first-year graduate students in the fields of electrical and mechanical engineering. This book is also a reference for electrical, mechanical, and computer engineers as well as applied mathematicians.



John J. Shynk, PhD, is Professor of Electrical and Computer Engineering at the University of California, Santa Barbara. He was a Member of Technical Staff at Bell Laboratories, and received degrees in systems engineering, electrical engineering, and statistics from Boston University and Stanford University.
Preface xiii
Notation and Bibliography xvii
About the Companion Website xix
1 Overview and Background
1(50)
1.1 Introduction
1(2)
1.2 Mathematical Models
3(9)
1.3 Frequency Content
12(4)
1.4 Functions and Properties
16(6)
1.5 Derivatives and Integrals
22(11)
1.6 Sine, Cosine, and π
33(5)
1.7 Napier's Constant e and Logarithms
38(13)
Part I Circuits, Matrices, And Complex Numbers 51(152)
2 Circuits and Mechanical Systems
53(52)
2.1 Introduction
53(1)
2.2 Voltage, Current, and Power
54(6)
2.3 Circuit Elements
60(7)
2.4 Basic Circuit Laws
67(18)
2.4.1 Mesh-Current and Node-Voltage Analysis
69(2)
2.4.2 Equivalent Resistive Circuits
71(4)
2.4.3 RC and RL Circuits
75(3)
2.4.4 Series RLC Circuit
78(4)
2.4.5 Diode Circuits
82(3)
2.5 Mechanical Systems
85(20)
2.5.1 Simple Pendulum
86(6)
2.5.2 Mass on a Spring
92(3)
2.5.3 Electrical and Mechanical Analogs
95(10)
3 Linear Equations and Matrices
105(58)
3.1 Introduction
105(1)
3.2 Vector Spaces
106(2)
3.3 System of Linear Equations
108(5)
3.4 Matrix Properties and Special Matrices
113(9)
3.5 Determinant
122(6)
3.6 Matrix Subspaces
128(7)
3.7 Gaussian Elimination
135(17)
3.7.1 LU and LDU Decompositions
146(2)
3.7.2 Basis Vectors
148(3)
3.7.3 General Solution of Ay = x
151(1)
3.8 Eigendecomposition
152(4)
3.9 MATLAB Functions
156(7)
4 Complex Numbers and Functions
163(40)
4.1 Introduction
163(2)
4.2 Imaginary Numbers
165(2)
4.3 Complex Numbers
167(2)
4.4 Two Coordinates
169(2)
4.5 Polar Coordinates
171(4)
4.6 Euler's Formula
175(7)
4.7 Matrix Representation
182(1)
4.8 Complex Exponential Rotation
183(6)
4.9 Constant Angular Velocity
189(3)
4.10 Quaternions
192(11)
Part II Signals, Systems, And Transforms 203(296)
5 Signals, Generalized Functions, and Fourier Series
205(70)
5.1 Introduction
205(1)
5.2 Energy and Power Signals
206(2)
5.3 Step and Ramp Functions
208(3)
5.4 Rectangle and Triangle Functions
211(3)
5.5 Exponential Function
214(3)
5.6 Sinusoidal Functions
217(3)
5.7 Dirac Delta Function
220(3)
5.8 Generalized Functions
223(10)
5.9 Unit Doublet
233(7)
5.10 Complex Functions and Singularities
240(2)
5.11 Cauchy Principal Value
242(3)
5.12 Even and Odd Functions
245(3)
5.13 Correlation Functions
248(3)
5.14 Fourier Series
251(10)
5.15 Phasor Representation
261(4)
5.16 Phasors and Linear Circuits
265(10)
6 Differential Equation Models for Linear Systems
275(60)
6.1 Introduction
275(1)
6.2 Differential Equations
276(2)
6.3 General Forms of The Solution
278(2)
6.4 First-Order Linear ODE
280(14)
6.4.1 Homogeneous Solution
283(2)
6.4.2 Nonhomogeneous Solution
285(2)
6.4.3 Step Response
287(1)
6.4.4 Exponential Input
287(2)
6.4.5 Sinusoidal Input
289(1)
6.4.6 Impulse Response
290(4)
6.5 Second-Order Linear ODE
294(17)
6.5.1 Homogeneous Solution
296(8)
6.5.2 Damping Ratio
304(2)
6.5.3 Initial Conditions
306(1)
6.5.4 Nonhomogeneous Solution
307(4)
6.6 Second-Order ODE Responses
311(8)
6.6.1 Step Response
311(2)
6.6.2 Step Response (Alternative Method)
313(6)
6.6.3 Impulse Response
319(1)
6.7 Convolution
319(4)
6.8 System of ODEs
323(12)
7 Laplace Transforms and Linear Systems
335(88)
7.1 Introduction
335(1)
7.2 Solving ODEs Using Phasors
336(3)
7.3 Eigenfunctions
339(1)
7.4 Laplace Transform
340(7)
7.5 Laplace Transforms and Generalized Functions
347(5)
7.6 Laplace Transform Properties
352(12)
7.7 Initial and Final Value Theorems
364(3)
7.8 Poles and Zeros
367(5)
7.9 Laplace Transform Pairs
372(5)
7.9.1 Constant Function
372(1)
7.9.2 Rectangle Function
373(1)
7.9.3 Triangle Function
374(2)
7.9.4 Ramped Exponential Function
376(1)
7.9.5 Sinusoidal Functions
376(1)
7.10 Transforms and Polynomials
377(3)
7.11 Solving Linear ODES
380(2)
7.12 Impulse Response and Transfer Function
382(5)
7.13 Partial Fraction Expansion
387(22)
7.13.1 Distinct Real Poles
388(3)
7.13.2 Distinct Complex Poles
391(5)
7.13.3 Repeated Real Poles
396(6)
7.13.4 Repeated Complex Poles
402(7)
7.14 Laplace Transforms and Linear Circuits
409(14)
8 Fourier Transforms and Frequency Responses
423(76)
8.1 Introduction
423(2)
8.2 Fourier Transform
425(10)
8.3 Magnitude and Phase
435(2)
8.4 Fourier Transforms and Generalized Functions
437(5)
8.5 Fourier Transform Properties
442(7)
8.6 Amplitude Modulation
449(4)
8.7 Frequency Response
453(13)
8.7.1 First-Order Low-Pass Filter
455(4)
8.7.2 First-Order High-Pass Filter
459(1)
8.7.3 Second-Order Band-Pass Filter
460(3)
8.7.4 Second-Order Band-Reject Filter
463(3)
8.8 Frequency Response of Second-Order Filters
466(9)
8.9 Frequency Response of Series RLC Circuit
475(3)
8.10 Butterworth Filters
478(23)
8.10.1 Low-Pass Filter
481(3)
8.10.2 High-Pass Filter
484(3)
8.10.3 Band-Pass Filter
487(1)
8.10.4 Band-Reject Filter
488(11)
Appendices 499(102)
Introduction to Appendices
500(1)
A Extended Summaries of Functions and Transforms
501(58)
A.1 Functions and Notation
501(1)
A.2 Laplace Transform
502(2)
A.3 Fourier Transform
504(2)
A.4 Magnitude and Phase
506(4)
A.5 Impulsive Functions
510(4)
A.5.1 Dirac Delta Function (Shifted)
510(2)
A.5.2 Unit Doublet (Shifted)
512(2)
A.6 Piecewise Linear Functions
514(14)
A.6.1 Unit Step Function
514(2)
A.6.2 Signum Function
516(2)
A.6.3 Constant Function (Two-Sided)
518(2)
A.6.4 Ramp Function
520(2)
A.6.5 Absolute Value Function (Two-Sided Ramp)
522(2)
A.6.6 Rectangle Function
524(2)
A.6.7 Triangle Function
526(2)
A.7 Exponential Functions
528(8)
A.7.1 Exponential Function (Right-Sided)
528(2)
A.7.2 Exponential Function (Ramped)
530(2)
A.7.3 Exponential Function (Two-Sided)
532(2)
A.7.4 Gaussian Function
534(2)
A.8 Sinusoidal Functions
536(23)
A.8.1 Cosine Function (Two-Sided)
536(2)
A.8.2 Cosine Function (Right-Sided)
538(3)
A.8.3 Cosine Function (Exponentially Weighted)
541(3)
A.8.4 Cosine Function (Exponentially Weighted and Ramped)
544(3)
A.8.5 Sine Function (Two-Sided)
547(2)
A.8.6 Sine Function (Right-Sided)
549(3)
A.8.7 Sine Function (Exponentially Weighted)
552(3)
A.8.8 Sine Function (Exponentially Weighted and Ramped)
555(4)
B Inverse Laplace Transforms
559(6)
B.1 Improper Rational Function
559(3)
B.2 Unbounded System
562(1)
B.3 Double Integrator and Feedback
563(2)
C Identities, Derivatives, and Integrals
565(12)
C.1 Trigonometric Identities
565(1)
C.2 Summations
566(1)
C.3 Miscellaneous
567(1)
C.4 Completing the Square
567(1)
C.5 Quadratic and Cubic Formulas
568(3)
C.6 Derivatives
571(2)
C.7 Indefinite Integrals
573(1)
C.8 Definite Integrals
574(3)
D Set Theory
577(6)
D.1 Sets and Subsets
577(2)
D.2 Set Operations
579(4)
E Series Expansions
583(10)
E.1 Taylor Series
583(2)
E.2 Maclaurin Series
585(3)
E.3 Laurent Series
588(5)
F Lambert W-Function
593(8)
F.1 Lambert W-Function
593(4)
F.2 Nonlinear Diode Circuit
597(1)
F.3 System of Nonlinear Equations
598(3)
Glossary 601(8)
Bibliography 609(6)
Index 615
John J. Shynk, PhD, is Professor of Electrical and Computer Engineering at the University of California, Santa Barbara. He was a Member of Technical Staff at Bell Laboratories, and received degrees in systems engineering, electrical engineering, and statistics from Boston University and Stanford University.