Multivariable Calculus: A Linear Algebra Based Approach

Author:   Michael Olinick
Publisher:   Kendall/Hunt Publishing Co ,U.S.
Edition:   New edition
ISBN:  

9798765705070


Pages:   310
Publication Date:   21 February 2022
Format:   Paperback
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

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Multivariable Calculus: A Linear Algebra Based Approach


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Overview

A linear algebra based approach, covering topics including vector differential calculus, multiple integrals and vector field theory. 

Full Product Details

Author:   Michael Olinick
Publisher:   Kendall/Hunt Publishing Co ,U.S.
Imprint:   Kendall/Hunt Publishing Co ,U.S.
Edition:   New edition
ISBN:  

9798765705070


Pages:   310
Publication Date:   21 February 2022
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

Table of Contents

Preface 1 Remembrance of Things Past 1.1 Calculus 1.1.1 Limits, Continuity, and the Derivative 1.1.2 Properties and Uses of the Derivative 1.1.3 The Definite Integral 1.1.4 Fundamental Theorem of Calculus 1.1.5 Taylor’s Theorem 1.2 Linear Algebra 1.2.1 Vectors 1.2.2 Linear Independence 1.2.3 Matrices 1.2.4 Eigenvalues and Eigenvectors 1.3 Exercises and Projects 2 Vector-Valued Functions of One Variable 2.1 Curves in the Plane and Space 2.2 Limits and Continuity 2.3 Derivatives 2.4 Velocity, Speed, and Acceleration 2.5 Integrals 2.6 Applications 2.6.1 Projectile Motion 2.6.2 Kepler’s Laws of Planetary Motion 2.7 Exercises and Projects 3 Real-Valued Functions of a Vector: The Derivative 3.1 Some Examples 3.2 Graphs and Level Sets 3.3 Partial Derivatives 3.4 Parametrized Surfaces 3.5 Applications 3.5.1 Utility Functions 3.5.2 An Age-Structured Population Model 3.6 Exercises and Projects 4 Differentiable Functions 4.1 Limits and Continuity 4.2 Differentiability 4.3 Directional Derivatives 4.4 A Mean Value Theorem 4.5 The Jacobian Matrix 4.6 Applications 4.6.1 Economic Growth 4.6.2 Newton’s Method 4.7 Exercises and Projects 5 Vector Differential Calculus 5.1 Differentiating Compositions of Functions 5.1.1 The Little Chain Rule 5.1.2 General Chain Rule 5.2 Change of Variables 5.3 Gradient Fields 5.4 Normal Vectors 5.5 Implicit Differentiation 5.6 Extreme Values    5.6.1 Critical Values   5.6.2 Method of Lagrange Multipliers 5.6.3 Second Derivative Criteria 5.7 Alternative Coordinate Systems 5.7.1 Polar Coordinates 5.7.2 Cylindrical Coordinates 5.7.3 Spherical Coordinates 5.8 Applications 5.8.1 Maximizing Utility With Budget Constraint 5.8.2 Laplace Equation 5.9 Exercises and Projects 6 Multiple Integrals   6.1 The Iterated Integral 6.2 The Multiple Integral   6.2.1 Definition 6.2.2 Existence 6.2.3 Double Integrals 6.2.4 Triple Integrals    6.3 Properties of the Integral 6.4 Jacobians and the Change of Variable 6.5 Improper Integrals 6.6 Applications 6.6.1 Probability 6.6.2 Density and Moments 6.7 Exercises and Projects 7 Calculus Along Curves 7.1 Work     7.2 Vector Fields and Line Integrals   7.2.1 Line Integrals 7.3 Arc Length and Weighted Curves 7.3.1 Weighted Curves 7.4 Surfaces of Revolution 7.5 Numerical Integration   7.6 Curvature and Normals     7.6.1 Curvature    7.7 Flow Lines and Differential Equations 7.7.1 Alternative Notation for Vector Fields    7.8 Applications     7.9 Exercises and Projects 8 Vector Field Theory 8.1 Divergence and Curl 8.1.1 Divergence of a Vector Field 8.1.2 Properties of Divergence 8.1.3 The Del Operator 8.1.4 Curl   8.1.5 Derivative Identities 8.2 Conservative Vector Fields 8.2.1 Potential Functions 8.2.2 Equivalent Notions of Path Equivalence   8.2.3 Symmetric Jacobians and Path Independence   8.3 Green’s Theorem in the Plane 8.3.1 Setting for Green’s Theorem 8.3.2 A Verification of Green’s Theorem 8.3.3 Proof of Green’s Theorem for a Very Simple Region 8.3.4 Green’s Theorem for Simple Regions 8.3.5 Green’s Theorem for More Complicated Regions 8.3.6 Using Green’s Theorem to Evaluate Line Integrals 8.3.7 The Divergence Theorem 8.3.8 Jacobian Symmetry and Gradient Fields 8.3.9 Finding Potentials Using Partial Integration 8.4 Surface Integrals       8.4.1 Mass        8.4.2 Integrating Vector Fields Over Surfaces   8.4.3 Orientation        8.5 Gauss’s Theorem   8.5.1 Gauss’s Theorem for Simple Regions 8.5.2 Surface Independence     8.5.3 Meaning of Divergence 8.6 Stokes’ Theorem    8.6.1 Proving Stokes’ Theorem    8.6.2 Simply Connected Surfaces and Conservative Fields 8.6.3 Interpreting Curl    8.6.4 Independence of Surface    8.6.5 An Historical Note      8.7 Applications   8.7.1 Geometry: Shoelace Theorem   8.7.2 Newton’s Law of Gravitational Attraction 8.8 Exercises and Projects 9 Differential Forms and Vector Calculus 9.1 What Are Differential Forms? 9.1.1 0-Forms 9.1.2 1-Forms 9.1.3 Integrating a 1-Form Over a Curve 9.1.4 2-Forms   9.1.5 Integrating a 2-Form Over a Surface    9.1.6 3-forms       9.1.7 Integrating a 3-Form Over a Region 9.2 Algebra of Forms     9.3 Differentiating Forms 9.4 Generalizing the Fundamental Theorem of Calculus    9.4.1 Gauss’ Theorem 9.4.2 Stokes’ Theorem     9.5 Exercises and Projects Index

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