Description

Book Synopsis
Enables readers to apply the fundamentals of differential calculus to solve real-life problems in engineering and the physical sciences

Introduction to Differential Calculus fully engages readers by presenting the fundamental theories and methods of differential calculus and then showcasing how the discussed concepts can be applied to real-world problems in engineering and the physical sciences. With its easy-to-follow style and accessible explanations, the book sets a solid foundation before advancing to specific calculus methods, demonstrating the connections between differential calculus theory and its applications.

The first five chapters introduce underlying concepts such as algebra, geometry, coordinate geometry, and trigonometry. Subsequent chapters present a broad range of theories, methods, and applications in differential calculus, including:

  • Concepts of function, continuity, and derivative

  • Properties of expo

    Trade Review

    “The book is addressed mainly to students studying non-mathematical subjects. It will be also helpful for those who want to understand why it is important to study Calculus and how to apply it.” (Zentralblatt MATH, 1 December 2012)



    Table of Contents
    Foreword xiii

    Preface xvii

    Biographies xxv

    Introduction xxvii

    Acknowledgments xxix

    1 From Arithmetic to Algebra (What must you know to learn Calculus?) 1

    1.1 Introduction 1

    1.2 The Set of Whole Numbers 1

    1.3 The Set of Integers 1

    1.4 The Set of Rational Numbers 1

    1.5 The Set of Irrational Numbers 2

    1.6 The Set of Real Numbers 2

    1.7 Even and Odd Numbers 3

    1.8 Factors 3

    1.9 Prime and Composite Numbers 3

    1.10 Coprime Numbers 4

    1.11 Highest Common Factor (H.C.F.) 4

    1.12 Least Common Multiple (L.C.M.) 4

    1.13 The Language of Algebra 5

    1.14 Algebra as a Language for Thinking 7

    1.15 Induction 9

    1.16 An Important Result: The Number of Primes is Infinite 10

    1.17 Algebra as the Shorthand of Mathematics 10

    1.18 Notations in Algebra 11

    1.19 Expressions and Identities in Algebra 12

    1.20 Operations Involving Negative Numbers 15

    1.21 Division by Zero 16

    2 The Concept of a Function (What must you know to learn Calculus?) 19

    2.1 Introduction 19

    2.2 Equality of Ordered Pairs 20

    2.3 Relations and Functions 20

    2.4 Definition 21

    2.5 Domain, Codomain, Image, and Range of a Function 23

    2.6 Distinction Between “f ” and “f(x)” 23

    2.7 Dependent and Independent Variables 24

    2.8 Functions at a Glance 24

    2.9 Modes of Expressing a Function 24

    2.10 Types of Functions 25

    2.11 Inverse Function f 1 29

    2.12 Comparing Sets without Counting their Elements 32

    2.13 The Cardinal Number of a Set 32

    2.14 Equivalent Sets (Definition) 33

    2.15 Finite Set (Definition) 33

    2.16 Infinite Set (Definition) 34

    2.17 Countable and Uncountable Sets 36

    2.18 Cardinality of Countable and Uncountable Sets 36

    2.19 Second Definition of an Infinity Set 37

    2.20 The Notion of Infinity 37

    2.21 An Important Note About the Size of Infinity 38

    2.22 Algebra of Infinity (1) 38

    3 Discovery of Real Numbers: Through Traditional Algebra (What must you know to learn Calculus?) 41

    3.1 Introduction 41

    3.2 Prime and Composite Numbers 42

    3.3 The Set of Rational Numbers 43

    3.4 The Set of Irrational Numbers 43

    3.5 The Set of Real Numbers 43

    3.6 Definition of a Real Number 44

    3.7 Geometrical Picture of Real Numbers 44

    3.8 Algebraic Properties of Real Numbers 44

    3.9 Inequalities (Order Properties in Real Numbers) 45

    3.10 Intervals 46

    3.11 Properties of Absolute Values 51

    3.12 Neighborhood of a Point 54

    3.13 Property of Denseness 55

    3.14 Completeness Property of Real Numbers 55

    3.15 (Modified) Definition II (l.u.b.) 60

    3.16 (Modified) Definition II (g.l.b.) 60

    4 From Geometry to Coordinate Geometry (What must you know to learn Calculus?) 63

    4.1 Introduction 63

    4.2 Coordinate Geometry (or Analytic Geometry) 64

    4.3 The Distance Formula 69

    4.4 Section Formula 70

    4.5 The Angle of Inclination of a Line 71

    4.6 Solution(s) of an Equation and its Graph 76

    4.7 Equations of a Line 83

    4.8 Parallel Lines 89

    4.9 Relation Between the Slopes of (Nonvertical) Lines that are Perpendicular to One Another 90

    4.10 Angle Between Two Lines 92

    4.11 Polar Coordinate System 93

    5 Trigonometry and Trigonometric Functions (What must you know to learn Calculus?) 97

    5.1 Introduction 97

    5.2 (Directed) Angles 98

    5.3 Ranges of sin and cos 109

    5.4 Useful Concepts and Definitions 111

    5.5 Two Important Properties of Trigonometric Functions 114

    5.6 Graphs of Trigonometric Functions 115

    5.7 Trigonometric Identities and Trigonometric Equations 115

    5.8 Revision of Certain Ideas in Trigonometry 120

    6 More About Functions (What must you know to learn Calculus?) 129

    6.1 Introduction 129

    6.2 Function as a Machine 129

    6.3 Domain and Range 130

    6.4 Dependent and Independent Variables 130

    6.5 Two Special Functions 132

    6.6 Combining Functions 132

    6.7 Raising a Function to a Power 137

    6.8 Composition of Functions 137

    6.9 Equality of Functions 142

    6.10 Important Observations 142

    6.11 Even and Odd Functions 143

    6.12 Increasing and Decreasing Functions 144

    6.13 Elementary and Nonelementary Functions 147

    7a The Concept of Limit of a Function (What must you know to learn Calculus?) 149

    7a.1 Introduction 149

    7a.2 Useful Notations 149

    7a.3 The Concept of Limit of a Function: Informal Discussion 151

    7a.4 Intuitive Meaning of Limit of a Function 153

    7a.5 Testing the Definition [Applications of the «, d Definition of Limit] 163

    7a.6 Theorem (B): Substitution Theorem 174

    7a.7 Theorem (C): Squeeze Theorem or Sandwich Theorem 175

    7a.8 One-Sided Limits (Extension to the Concept of Limit) 175

    7b Methods for Computing Limits of Algebraic Functions (What must you know to learn Calculus?) 177

    7b.1 Introduction 177

    7b.2 Methods for Evaluating Limits of Various Algebraic Functions 178

    7b.3 Limit at Infinity 187

    7b.4 Infinite Limits 190

    7b.5 Asymptotes 192

    8 The Concept of Continuity of a Function, and Points of Discontinuity (What must you know to learn Calculus?) 197

    8.1 Introduction 197

    8.2 Developing the Definition of Continuity “At a Point” 204

    8.3 Classification of the Points of Discontinuity: Types of Discontinuities 214

    8.4 Checking Continuity of Functions Involving Trigonometric, Exponential, and Logarithmic Functions 215

    8.5 From One-Sided Limit to One-Sided Continuity and its Applications 224

    8.6 Continuity on an Interval 224

    8.7 Properties of Continuous Functions 225

    9 The Idea of a Derivative of a Function 235

    9.1 Introduction 235

    9.2 Definition of the Derivative as a Rate Function 239

    9.3 Instantaneous Rate of Change of y [=f(x)] at x=x1 and the Slope of its Graph at x=x1 239

    9.4 A Notation for Increment(s) 246

    9.5 The Problem of Instantaneous Velocity 246

    9.6 Derivative of Simple Algebraic Functions 259

    9.7 Derivatives of Trigonometric Functions 263

    9.8 Derivatives of Exponential and Logarithmic Functions 264

    9.9 Differentiability and Continuity 264

    9.10 Physical Meaning of Derivative 270

    9.11 Some Interesting Observations 271

    9.12 Historical Notes 273

    10 Algebra of Derivatives: Rules for Computing Derivatives of Various Combinations of Differentiable Functions 275

    10.1 Introduction 275

    10.2 Recalling the Operator of Differentiation 277

    10.3 The Derivative of a Composite Function 290

    10.4 Usefulness of Trigonometric Identities in Computing Derivatives 300

    10.5 Derivatives of Inverse Functions 302

    11a Basic Trigonometric Limits and Their Applications in Computing Derivatives of Trigonometric Functions 307

    11a.1 Introduction 307

    11a.2 Basic Trigonometric Limits 308

    11a.3 Derivatives of Trigonometric Functions 314

    11b Methods of Computing Limits of Trigonometric Functions 325

    11b.1 Introduction 325

    11b.2 Limits of the Type (I) 328

    11b.3 Limits of the Type (II) [ lim f(x), where a&rae;0] 332

    11b.4 Limits of Exponential and Logarithmic Functions 335

    12 Exponential Form(s) of a Positive Real Number and its Logarithm(s): Pre-Requisite for Understanding Exponential and Logarithmic Functions (What must you know to learn Calculus?) 339

    12.1 Introduction 339

    12.2 Concept of Logarithmic 339

    12.3 The Laws of Exponent 340

    12.4 Laws of Exponents (or Laws of Indices) 341

    12.5 Two Important Bases: “10” and “e” 343

    12.6 Definition: Logarithm 344

    12.7 Advantages of Common Logarithms 346

    12.8 Change of Base 348

    12.9 Why were Logarithms Invented? 351

    12.10 Finding a Common Logarithm of a (Positive) Number 351

    12.11 Antilogarithm 353

    12.12 Method of Calculation in Using Logarithm 355

    13a Exponential and Logarithmic Functions and Their Derivatives (What must you know to learn Calculus?) 359

    13a.1 Introduction 359

    13a.2 Origin of e 360

    13a.3 Distinction Between Exponential and Power Functions 362

    13a.4 The Value of e 362

    13a.5 The Exponential Series 364

    13a.6 Properties of e and Those of Related Functions 365

    13a.7 Comparison of Properties of Logarithm(s) to the Bases 10 and e 369

    13a.8 A Little More About e 371

    13a.9 Graphs of Exponential Function(s) 373

    13a.10 General Logarithmic Function 375

    13a.11 Derivatives of Exponential and Logarithmic Functions 378

    13a.12 Exponential Rate of Growth 383

    13a.13 Higher Exponential Rates of Growth 383

    13a.14 An Important Standard Limit 385

    13a.15 Applications of the Function ex: Exponential Growth and Decay 390

    13b Methods for Computing Limits of Exponential and Logarithmic Functions 401

    13b.1 Introduction 401

    13b.2 Review of Logarithms 401

    13b.3 Some Basic Limits 403

    13b.4 Evaluation of Limits Based on the Standard Limit 410

    14 Inverse Trigonometric Functions and Their Derivatives 417

    14.1 Introduction 417

    14.2 Trigonometric Functions (With Restricted Domains) and Their Inverses 420

    14.3 The Inverse Cosine Function 425

    14.4 The Inverse Tangent Function 428

    14.5 Definition of the Inverse Cotangent Function 431

    14.6 Formula for the Derivative of Inverse Secant Function 433

    14.7 Formula for the Derivative of Inverse Cosecant Function 436

    14.8 Important Sets of Results and their Applications 437

    14.9 Application of Trigonometric Identities in Simplification of Functions and Evaluation of Derivatives of Functions Involving Inverse Trigonometric Functions 441

    15a Implicit Functions and Their Differentiation 453

    15a.1 Introduction 453

    15a.2 Closer Look at the Difficulties Involved 455

    15a.3 The Method of Logarithmic Differentiation 463

    15a.4 Procedure of Logarithmic Differentiation 464

    15b Parametric Functions and Their Differentiation 473

    15b.1 Introduction 473

    15b.2 The Derivative of a Function Represented Parametrically 477

    15b.3 Line of Approach for Computing the Speed of a Moving Particle 480

    15b.4 Meaning of dy/dx with Reference to the Cartesian Form y = f(x) and Parametric Forms x = f(t), y = g(t) of the Function 481

    15b.5 Derivative of One Function with Respect to the Other 483

    16 Differentials “dy” and “dx”: Meanings and Applications 487

    16.1 Introduction 487

    16.2 Applying Differentials to Approximate Calculations 492

    16.3 Differentials of Basic Elementary Functions 494

    16.4 Two Interpretations of the Notation dy/dx 498

    16.5 Integrals in Differential Notation 499

    16.6 To Compute (Approximate) Small Changes and Small Errors Caused in Various Situations 503

    17 Derivatives and Differentials of Higher Order 511

    17.1 Introduction 511

    17.2 Derivatives of Higher Orders: Implicit Functions 516

    17.3 Derivatives of Higher Orders: Parametric Functions 516

    17.4 Derivatives of Higher Orders: Product of Two Functions (Leibniz Formula) 517

    17.5 Differentials of Higher Orders 521

    17.6 Rate of Change of a Function and Related Rates 523

    18 Applications of Derivatives in Studying Motion in a Straight Line 535

    18.1 Introduction 535

    18.2 Motion in a Straight Line 535

    18.3 Angular Velocity 540

    18.4 Applications of Differentiation in Geometry 540

    18.5 Slope of a Curve in Polar Coordinates 548

    19a Increasing and Decreasing Functions and the Sign of the First Derivative 551

    19a.1 Introduction 551

    19a.2 The First Derivative Test for Rise and Fall 556

    19a.3 Intervals of Increase and Decrease (Intervals of Monotonicity) 557

    19a.4 Horizontal Tangents with a Local Maximum/Minimum 565

    19a.5 Concavity, Points of Inflection, and the Sign of the Second Derivative 567

    19b Maximum and Minimum Values of a Function 575

    19b.1 Introduction 575

    19b.2 Relative Extreme Values of a Function 576

    19b.3 Theorem A 580

    19b.4 Theorem B: Sufficient Conditions for the Existence of a Relative Extrema—In Terms of the First Derivative 584

    19b.5 Sufficient Condition for Relative Extremum (In Terms of the Second Derivative) 588

    19b.6 Maximum and Minimum of a Function on the Whole Interval (Absolute Maximum and Absolute Minimum Values) 593

    19b.7 Applications of Maxima and Minima Techniques in Solving Certain Problems Involving the Determination of the Greatest and the Least Values 597

    20 Rolle’s Theorem and the Mean Value Theorem (MVT) 605

    20.1 Introduction 605

    20.2 Rolle’s Theorem (A Theorem on the Roots of a Derivative) 608

    20.3 Introduction to the Mean Value Theorem 613

    20.4 Some Applications of the Mean Value Theorem 622

    21 The Generalized Mean Value Theorem (Cauchy’s MVT), L’ Hospital’s Rule, and their Applications 625

    21.1 Introduction 625

    21.2 Generalized Mean Value Theorem (Cauchy’s MVT) 625

    21.3 Indeterminate Forms and L’Hospital’s Rule 627

    21.4 L’Hospital’s Rule (First Form) 630

    21.5 L’Hospital’s Theorem (For Evaluating Limits(s) of the Indeterminate Form 0/0.) 632

    21.6 Evaluating Indeterminate Form of the Type

    ∞/∞ 638

    21.7 Most General Statement of L’Hospital’s Theorem 644

    21.8 Meaning of Indeterminate Forms 644

    21.9 Finding Limits Involving Various Indeterminate Forms (by Expressing them to the Form 0/0 or ∞/∞) 646

    22 Extending the Mean Value Theorem to Taylor’s Formula: Taylor Polynomials for Certain Functions 653

    22.1 Introduction 653

    22.2 The Mean Value Theorem For Second Derivatives: The First Extended MVT 654

    22.3 Taylor’s Theorem 658

    22.4 Polynomial Approximations and Taylor’s Formula 658

    22.5 From Maclaurin Series To Taylor Series 667

    22.6 Taylor’s Formula for Polynomials 669

    22.7 Taylor’s Formula for Arbitrary Functions 672

    23 Hyperbolic Functions and Their Properties 677

    23.1 Introduction 677

    23.2 Relation Between Exponential and Trigonometric Functions 680

    23.3 Similarities and Differences in the Behavior of Hyperbolic and Circular Functions 682

    23.4 Derivatives of Hyperbolic Functions 685

    23.5 Curves of Hyperbolic Functions 686

    23.6 The Indefinite Integral Formulas for Hyperbolic Functions 689

    23.7 Inverse Hyperbolic Functions 689

    23.8 Justification for Calling sinh and cosh as Hyperbolic Functions Just as sine and cosine are Called Trigonometric Circular Functions 699

    Appendix A (Related To Chapter-2) Elementary Set Theory 703

    Appendix B (Related To Chapter-4) 711

    Appendix C (Related To Chapter-20) 735

    Index 739

Introduction to Differential Calculus

    Product form

    £125.96

    Includes FREE delivery

    RRP £139.95 – you save £13.99 (9%)

    Order before 4pm today for delivery by Fri 3 Jul 2026.

    A Hardback by Ulrich L. Rohde, G. C. Jain, Ajay K. Poddar

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Introduction to Differential Calculus by Ulrich L. Rohde

      Publisher: John Wiley & Sons Inc
      Publication Date: 09/02/2012
      ISBN13: 9781118117750, 978-1118117750
      ISBN10: 1118117751
      Also in:
      Mathematics

      Description

      Book Synopsis
      Enables readers to apply the fundamentals of differential calculus to solve real-life problems in engineering and the physical sciences

      Introduction to Differential Calculus fully engages readers by presenting the fundamental theories and methods of differential calculus and then showcasing how the discussed concepts can be applied to real-world problems in engineering and the physical sciences. With its easy-to-follow style and accessible explanations, the book sets a solid foundation before advancing to specific calculus methods, demonstrating the connections between differential calculus theory and its applications.

      The first five chapters introduce underlying concepts such as algebra, geometry, coordinate geometry, and trigonometry. Subsequent chapters present a broad range of theories, methods, and applications in differential calculus, including:

      • Concepts of function, continuity, and derivative

      • Properties of expo

        Trade Review

        “The book is addressed mainly to students studying non-mathematical subjects. It will be also helpful for those who want to understand why it is important to study Calculus and how to apply it.” (Zentralblatt MATH, 1 December 2012)



        Table of Contents
        Foreword xiii

        Preface xvii

        Biographies xxv

        Introduction xxvii

        Acknowledgments xxix

        1 From Arithmetic to Algebra (What must you know to learn Calculus?) 1

        1.1 Introduction 1

        1.2 The Set of Whole Numbers 1

        1.3 The Set of Integers 1

        1.4 The Set of Rational Numbers 1

        1.5 The Set of Irrational Numbers 2

        1.6 The Set of Real Numbers 2

        1.7 Even and Odd Numbers 3

        1.8 Factors 3

        1.9 Prime and Composite Numbers 3

        1.10 Coprime Numbers 4

        1.11 Highest Common Factor (H.C.F.) 4

        1.12 Least Common Multiple (L.C.M.) 4

        1.13 The Language of Algebra 5

        1.14 Algebra as a Language for Thinking 7

        1.15 Induction 9

        1.16 An Important Result: The Number of Primes is Infinite 10

        1.17 Algebra as the Shorthand of Mathematics 10

        1.18 Notations in Algebra 11

        1.19 Expressions and Identities in Algebra 12

        1.20 Operations Involving Negative Numbers 15

        1.21 Division by Zero 16

        2 The Concept of a Function (What must you know to learn Calculus?) 19

        2.1 Introduction 19

        2.2 Equality of Ordered Pairs 20

        2.3 Relations and Functions 20

        2.4 Definition 21

        2.5 Domain, Codomain, Image, and Range of a Function 23

        2.6 Distinction Between “f ” and “f(x)” 23

        2.7 Dependent and Independent Variables 24

        2.8 Functions at a Glance 24

        2.9 Modes of Expressing a Function 24

        2.10 Types of Functions 25

        2.11 Inverse Function f 1 29

        2.12 Comparing Sets without Counting their Elements 32

        2.13 The Cardinal Number of a Set 32

        2.14 Equivalent Sets (Definition) 33

        2.15 Finite Set (Definition) 33

        2.16 Infinite Set (Definition) 34

        2.17 Countable and Uncountable Sets 36

        2.18 Cardinality of Countable and Uncountable Sets 36

        2.19 Second Definition of an Infinity Set 37

        2.20 The Notion of Infinity 37

        2.21 An Important Note About the Size of Infinity 38

        2.22 Algebra of Infinity (1) 38

        3 Discovery of Real Numbers: Through Traditional Algebra (What must you know to learn Calculus?) 41

        3.1 Introduction 41

        3.2 Prime and Composite Numbers 42

        3.3 The Set of Rational Numbers 43

        3.4 The Set of Irrational Numbers 43

        3.5 The Set of Real Numbers 43

        3.6 Definition of a Real Number 44

        3.7 Geometrical Picture of Real Numbers 44

        3.8 Algebraic Properties of Real Numbers 44

        3.9 Inequalities (Order Properties in Real Numbers) 45

        3.10 Intervals 46

        3.11 Properties of Absolute Values 51

        3.12 Neighborhood of a Point 54

        3.13 Property of Denseness 55

        3.14 Completeness Property of Real Numbers 55

        3.15 (Modified) Definition II (l.u.b.) 60

        3.16 (Modified) Definition II (g.l.b.) 60

        4 From Geometry to Coordinate Geometry (What must you know to learn Calculus?) 63

        4.1 Introduction 63

        4.2 Coordinate Geometry (or Analytic Geometry) 64

        4.3 The Distance Formula 69

        4.4 Section Formula 70

        4.5 The Angle of Inclination of a Line 71

        4.6 Solution(s) of an Equation and its Graph 76

        4.7 Equations of a Line 83

        4.8 Parallel Lines 89

        4.9 Relation Between the Slopes of (Nonvertical) Lines that are Perpendicular to One Another 90

        4.10 Angle Between Two Lines 92

        4.11 Polar Coordinate System 93

        5 Trigonometry and Trigonometric Functions (What must you know to learn Calculus?) 97

        5.1 Introduction 97

        5.2 (Directed) Angles 98

        5.3 Ranges of sin and cos 109

        5.4 Useful Concepts and Definitions 111

        5.5 Two Important Properties of Trigonometric Functions 114

        5.6 Graphs of Trigonometric Functions 115

        5.7 Trigonometric Identities and Trigonometric Equations 115

        5.8 Revision of Certain Ideas in Trigonometry 120

        6 More About Functions (What must you know to learn Calculus?) 129

        6.1 Introduction 129

        6.2 Function as a Machine 129

        6.3 Domain and Range 130

        6.4 Dependent and Independent Variables 130

        6.5 Two Special Functions 132

        6.6 Combining Functions 132

        6.7 Raising a Function to a Power 137

        6.8 Composition of Functions 137

        6.9 Equality of Functions 142

        6.10 Important Observations 142

        6.11 Even and Odd Functions 143

        6.12 Increasing and Decreasing Functions 144

        6.13 Elementary and Nonelementary Functions 147

        7a The Concept of Limit of a Function (What must you know to learn Calculus?) 149

        7a.1 Introduction 149

        7a.2 Useful Notations 149

        7a.3 The Concept of Limit of a Function: Informal Discussion 151

        7a.4 Intuitive Meaning of Limit of a Function 153

        7a.5 Testing the Definition [Applications of the «, d Definition of Limit] 163

        7a.6 Theorem (B): Substitution Theorem 174

        7a.7 Theorem (C): Squeeze Theorem or Sandwich Theorem 175

        7a.8 One-Sided Limits (Extension to the Concept of Limit) 175

        7b Methods for Computing Limits of Algebraic Functions (What must you know to learn Calculus?) 177

        7b.1 Introduction 177

        7b.2 Methods for Evaluating Limits of Various Algebraic Functions 178

        7b.3 Limit at Infinity 187

        7b.4 Infinite Limits 190

        7b.5 Asymptotes 192

        8 The Concept of Continuity of a Function, and Points of Discontinuity (What must you know to learn Calculus?) 197

        8.1 Introduction 197

        8.2 Developing the Definition of Continuity “At a Point” 204

        8.3 Classification of the Points of Discontinuity: Types of Discontinuities 214

        8.4 Checking Continuity of Functions Involving Trigonometric, Exponential, and Logarithmic Functions 215

        8.5 From One-Sided Limit to One-Sided Continuity and its Applications 224

        8.6 Continuity on an Interval 224

        8.7 Properties of Continuous Functions 225

        9 The Idea of a Derivative of a Function 235

        9.1 Introduction 235

        9.2 Definition of the Derivative as a Rate Function 239

        9.3 Instantaneous Rate of Change of y [=f(x)] at x=x1 and the Slope of its Graph at x=x1 239

        9.4 A Notation for Increment(s) 246

        9.5 The Problem of Instantaneous Velocity 246

        9.6 Derivative of Simple Algebraic Functions 259

        9.7 Derivatives of Trigonometric Functions 263

        9.8 Derivatives of Exponential and Logarithmic Functions 264

        9.9 Differentiability and Continuity 264

        9.10 Physical Meaning of Derivative 270

        9.11 Some Interesting Observations 271

        9.12 Historical Notes 273

        10 Algebra of Derivatives: Rules for Computing Derivatives of Various Combinations of Differentiable Functions 275

        10.1 Introduction 275

        10.2 Recalling the Operator of Differentiation 277

        10.3 The Derivative of a Composite Function 290

        10.4 Usefulness of Trigonometric Identities in Computing Derivatives 300

        10.5 Derivatives of Inverse Functions 302

        11a Basic Trigonometric Limits and Their Applications in Computing Derivatives of Trigonometric Functions 307

        11a.1 Introduction 307

        11a.2 Basic Trigonometric Limits 308

        11a.3 Derivatives of Trigonometric Functions 314

        11b Methods of Computing Limits of Trigonometric Functions 325

        11b.1 Introduction 325

        11b.2 Limits of the Type (I) 328

        11b.3 Limits of the Type (II) [ lim f(x), where a&rae;0] 332

        11b.4 Limits of Exponential and Logarithmic Functions 335

        12 Exponential Form(s) of a Positive Real Number and its Logarithm(s): Pre-Requisite for Understanding Exponential and Logarithmic Functions (What must you know to learn Calculus?) 339

        12.1 Introduction 339

        12.2 Concept of Logarithmic 339

        12.3 The Laws of Exponent 340

        12.4 Laws of Exponents (or Laws of Indices) 341

        12.5 Two Important Bases: “10” and “e” 343

        12.6 Definition: Logarithm 344

        12.7 Advantages of Common Logarithms 346

        12.8 Change of Base 348

        12.9 Why were Logarithms Invented? 351

        12.10 Finding a Common Logarithm of a (Positive) Number 351

        12.11 Antilogarithm 353

        12.12 Method of Calculation in Using Logarithm 355

        13a Exponential and Logarithmic Functions and Their Derivatives (What must you know to learn Calculus?) 359

        13a.1 Introduction 359

        13a.2 Origin of e 360

        13a.3 Distinction Between Exponential and Power Functions 362

        13a.4 The Value of e 362

        13a.5 The Exponential Series 364

        13a.6 Properties of e and Those of Related Functions 365

        13a.7 Comparison of Properties of Logarithm(s) to the Bases 10 and e 369

        13a.8 A Little More About e 371

        13a.9 Graphs of Exponential Function(s) 373

        13a.10 General Logarithmic Function 375

        13a.11 Derivatives of Exponential and Logarithmic Functions 378

        13a.12 Exponential Rate of Growth 383

        13a.13 Higher Exponential Rates of Growth 383

        13a.14 An Important Standard Limit 385

        13a.15 Applications of the Function ex: Exponential Growth and Decay 390

        13b Methods for Computing Limits of Exponential and Logarithmic Functions 401

        13b.1 Introduction 401

        13b.2 Review of Logarithms 401

        13b.3 Some Basic Limits 403

        13b.4 Evaluation of Limits Based on the Standard Limit 410

        14 Inverse Trigonometric Functions and Their Derivatives 417

        14.1 Introduction 417

        14.2 Trigonometric Functions (With Restricted Domains) and Their Inverses 420

        14.3 The Inverse Cosine Function 425

        14.4 The Inverse Tangent Function 428

        14.5 Definition of the Inverse Cotangent Function 431

        14.6 Formula for the Derivative of Inverse Secant Function 433

        14.7 Formula for the Derivative of Inverse Cosecant Function 436

        14.8 Important Sets of Results and their Applications 437

        14.9 Application of Trigonometric Identities in Simplification of Functions and Evaluation of Derivatives of Functions Involving Inverse Trigonometric Functions 441

        15a Implicit Functions and Their Differentiation 453

        15a.1 Introduction 453

        15a.2 Closer Look at the Difficulties Involved 455

        15a.3 The Method of Logarithmic Differentiation 463

        15a.4 Procedure of Logarithmic Differentiation 464

        15b Parametric Functions and Their Differentiation 473

        15b.1 Introduction 473

        15b.2 The Derivative of a Function Represented Parametrically 477

        15b.3 Line of Approach for Computing the Speed of a Moving Particle 480

        15b.4 Meaning of dy/dx with Reference to the Cartesian Form y = f(x) and Parametric Forms x = f(t), y = g(t) of the Function 481

        15b.5 Derivative of One Function with Respect to the Other 483

        16 Differentials “dy” and “dx”: Meanings and Applications 487

        16.1 Introduction 487

        16.2 Applying Differentials to Approximate Calculations 492

        16.3 Differentials of Basic Elementary Functions 494

        16.4 Two Interpretations of the Notation dy/dx 498

        16.5 Integrals in Differential Notation 499

        16.6 To Compute (Approximate) Small Changes and Small Errors Caused in Various Situations 503

        17 Derivatives and Differentials of Higher Order 511

        17.1 Introduction 511

        17.2 Derivatives of Higher Orders: Implicit Functions 516

        17.3 Derivatives of Higher Orders: Parametric Functions 516

        17.4 Derivatives of Higher Orders: Product of Two Functions (Leibniz Formula) 517

        17.5 Differentials of Higher Orders 521

        17.6 Rate of Change of a Function and Related Rates 523

        18 Applications of Derivatives in Studying Motion in a Straight Line 535

        18.1 Introduction 535

        18.2 Motion in a Straight Line 535

        18.3 Angular Velocity 540

        18.4 Applications of Differentiation in Geometry 540

        18.5 Slope of a Curve in Polar Coordinates 548

        19a Increasing and Decreasing Functions and the Sign of the First Derivative 551

        19a.1 Introduction 551

        19a.2 The First Derivative Test for Rise and Fall 556

        19a.3 Intervals of Increase and Decrease (Intervals of Monotonicity) 557

        19a.4 Horizontal Tangents with a Local Maximum/Minimum 565

        19a.5 Concavity, Points of Inflection, and the Sign of the Second Derivative 567

        19b Maximum and Minimum Values of a Function 575

        19b.1 Introduction 575

        19b.2 Relative Extreme Values of a Function 576

        19b.3 Theorem A 580

        19b.4 Theorem B: Sufficient Conditions for the Existence of a Relative Extrema—In Terms of the First Derivative 584

        19b.5 Sufficient Condition for Relative Extremum (In Terms of the Second Derivative) 588

        19b.6 Maximum and Minimum of a Function on the Whole Interval (Absolute Maximum and Absolute Minimum Values) 593

        19b.7 Applications of Maxima and Minima Techniques in Solving Certain Problems Involving the Determination of the Greatest and the Least Values 597

        20 Rolle’s Theorem and the Mean Value Theorem (MVT) 605

        20.1 Introduction 605

        20.2 Rolle’s Theorem (A Theorem on the Roots of a Derivative) 608

        20.3 Introduction to the Mean Value Theorem 613

        20.4 Some Applications of the Mean Value Theorem 622

        21 The Generalized Mean Value Theorem (Cauchy’s MVT), L’ Hospital’s Rule, and their Applications 625

        21.1 Introduction 625

        21.2 Generalized Mean Value Theorem (Cauchy’s MVT) 625

        21.3 Indeterminate Forms and L’Hospital’s Rule 627

        21.4 L’Hospital’s Rule (First Form) 630

        21.5 L’Hospital’s Theorem (For Evaluating Limits(s) of the Indeterminate Form 0/0.) 632

        21.6 Evaluating Indeterminate Form of the Type

        ∞/∞ 638

        21.7 Most General Statement of L’Hospital’s Theorem 644

        21.8 Meaning of Indeterminate Forms 644

        21.9 Finding Limits Involving Various Indeterminate Forms (by Expressing them to the Form 0/0 or ∞/∞) 646

        22 Extending the Mean Value Theorem to Taylor’s Formula: Taylor Polynomials for Certain Functions 653

        22.1 Introduction 653

        22.2 The Mean Value Theorem For Second Derivatives: The First Extended MVT 654

        22.3 Taylor’s Theorem 658

        22.4 Polynomial Approximations and Taylor’s Formula 658

        22.5 From Maclaurin Series To Taylor Series 667

        22.6 Taylor’s Formula for Polynomials 669

        22.7 Taylor’s Formula for Arbitrary Functions 672

        23 Hyperbolic Functions and Their Properties 677

        23.1 Introduction 677

        23.2 Relation Between Exponential and Trigonometric Functions 680

        23.3 Similarities and Differences in the Behavior of Hyperbolic and Circular Functions 682

        23.4 Derivatives of Hyperbolic Functions 685

        23.5 Curves of Hyperbolic Functions 686

        23.6 The Indefinite Integral Formulas for Hyperbolic Functions 689

        23.7 Inverse Hyperbolic Functions 689

        23.8 Justification for Calling sinh and cosh as Hyperbolic Functions Just as sine and cosine are Called Trigonometric Circular Functions 699

        Appendix A (Related To Chapter-2) Elementary Set Theory 703

        Appendix B (Related To Chapter-4) 711

        Appendix C (Related To Chapter-20) 735

        Index 739

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account