Calculus: Mathematics and Modeling
An Addison-Wesley
Book Publishing Adventure
Calculus: Mathematics and Modeling
The mathematical study of change pioneered by Newton and Leibniz was free of the
artificial separation of topics found in today's curriculum. In the 300 years
following their work, the explosion of ideas and techniques which they inspired
has resulted in an enormous body of mathematical knowledge. The sheer volume of
this knowledge has resulted in a separation of originally unified concepts into
distinct topics studied in a variety of courses such as Discrete Dynamical
Modeling, Calculus, and Differential Equations. As a result of this separation,
many students of mathematics never obtain a global understanding of the material
necessary for creative and effective application in new situations. We propose a
text which reunites these concepts and tools into a single study.
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The first generation of calculus reformers exploited emerging technologies and
the theme of multiple representations of functions to unify the study of
Calculus. These pioneers also demonstrated to the mathematical community the
efficacy of a number of innovative pedagogical techniques. Students' interest,
engagement, and performance profited from the use of collaborative learning,
writing to clarify ideas, discovery activities, and extended problem solving that
requires reinterpretation of mathematical results in terms of the original
problem. In addition, these reformers changed the number, order, and emphasis of
topics and, in the process, highlighted the importance of differential equations.
Simultaneously, new technology-based developments have made visual the
qualitative studies of differential equations developed over the last century.
The latest undergraduate texts emphasize such qualitative studies and
visualization.
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In this second generation of calculus reform, we combine the lessons of the first
generation along with the advances in differential equations through the use of
discrete dynamical systems. An understanding of such systems provides a solid
foundation for thinking about applications in science, engineering, economics,
and mathematics. In addition, the study of these applications naturally lends
itself to the new pedagogy.
The implementation of our philosophy will retain the intellectual core of the
traditional calculus course. This is made possible through a whole-hearted
adoption of symbolic manipulation software as the computational platform.
Students will use technology to perform the lion's share of symbolic
computations previously done with paper-and-pencil manipulation.
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Implementation of our philosophy requires a computational environment in which
the student can move smoothly between symbolic, numeric, graphic, and textual
contexts. With the introduction of the TI-92, such an environment is now
affordable for a wide audience. The preliminary addition of the text will
therefore be written to make consistent and essential use of the TI-92.
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Students will come away form this course with a conceptual and practical
knowledge of the derivative and the integral. They will also have experience in
applying calculus concepts in the context of science, engineering, economics, and
mathematics.
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Calculus textbooks are expected to have a number of features, even in preliminary
editions. This calculus book will include the following in a fully integrated
fashion.
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To encourage active reading by the students, ÒReflectionsÓ are included in the
body of the text. In a Reflection, the students are asked to briefly consider a
question about what has just been read or connect one idea with another.
Reflections appear frequently at the beginning of the text. As students become
more familiar with the types of questions they might ask themselves when reading
mathematics, Reflections appear less and less often. Students, through these
Reflections, can improve their ability to read mathematics. This is an additional
feature that most books do not have, do not even suspect they should have.
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Perhaps 25% of all the exercises in the text will require writing. Special
writing exercises will not be created to insert in the text to satisfy this need.
Rather, the authors believe that the interpretation of results are an important
and integral part of doing mathematics. Students will be asked to interpret the
results of computations in practical situations and to describe the meaning of
the mathematics in those contexts that are primarily mathematical in nature. In
particular, in the early chapters, students will be asked to describe the
behavior of functions relating to mathematical models of situations and of
abstract functions represented as graphs. In the second and third parts of the
text, the student will be frequently asked to interpret tables, graphs, and
symbols involved in investigating the solution to differential equations as
mathematical entities and models of real world phenomena.
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Throughout the book mathematical ideas and concepts are introduced and developed
in the context of significant practical applications from chemistry, biology,
medical sciences, decision sciences, and mathematics. This basic approach to
the book will carry over into the exercises where applied problems will appear
prominently, but not to the exclusion of purely mathematical problems.
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The authors believe that the communication of mathematics both in writing and
verbally improves some students' understanding of mathematics and provides
students with the ability to transfer their use of mathematics from mathematics
courses to physics, or chemistry, or economics courses, or to the engineering
workbench. Group work will be incorporated into the examples in the text so that
mathematics professors will feel comfortable doing ÒThink and ShareÓ or group
work in class. Students will learn from such in-class activities how to
participate effectively in group work outside class. Group activities make (for
many students) an enormous difference in how much mathematics they can learn,
master, and apply in other courses. There also will be group activities in the
exercises to take advantage of what students learn about group work in class.
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Once again, these activities will be an integral part of the text. For example,
there will be a trial and error aspect to most of the modeling activity based on
difference equations in the first several chapters. Similarly, discovery
approaches will be used in investigating differential equations by conjecturing
the features of the solution from tables, graphs, and symbols. There will not be
special discovery activities, but rather standard exercises that frequently
require the students to discover results. Each activity will be designed to
provide the student with closure on its key aspects. We will not depend upon the
student to create knowledge, but rather we will capitalize on the ideas that
occur when students try to come up with their own ways of working through a
mathematical concept.
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The authors believe that extended projects that allow students to see the
mathematics that they have learned in action and to reflect upon how the
mathematics works are an important part of student mathematical development. Our
text will include 1 or 2 such extended activities at the end of every chapter and
several project activities at the end of the book from a variety of different
areas (including mathematics) that involve many, if not all, of the ideas that
the student has mastered in the course.
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The TI-92 computer symbolic algebra graphing calculator will be used in the
expository part of the text throughout the book. A major tenet of this book is
that computer symbolic algebra technology in conjunction with the technology of
the graphing calculator allows the first course in college or university
mathematics to change significantly to the benefit of the mathematical
understanding of students. We expect the professor who uses this book to
frequently use the TI-92 ViewScreen in class. The text will allow the professor
to take advantage of this calculator in the exercises throughout the book.
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Where appropriate, chapters will be followed by Theoretical, Technical, and
Historical Interludes. Interludes will include material that is not central to
the development of the text, but can be used by students to further expand their
understanding.
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Just as the authors believe in the importance of lectures by the professor, so
too, they believe in the usefulness of summary remarks in the text. These
remarks will not be a rehash of what happened in each section, but a statement of
what was learned and why. It will also place the chapter in the context of the
book and the intellectual history of the modern world.
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Calculus: Mathematics and Modeling
Introduction
Chapter 1: Modeling Change
- 1.1 Drugs
- 1.2 Drugs: A Summation
- 1.3 Limited Growth
- 1.4 You Are What You Eat
- 1.5 Variations on Two Themes by Galileo
- 1.6 Raw Data
Part I. Calculus Concepts
Chapter 2: A Symbolic Approach to Change: The Derived Function
- 2.1 Rate of Change
- 2.2 Average and Instantaneous Rate of Change
- 2.3 Rate of Change as a Function
- 2.4 The Derivative at a Point and the Idea of Limit
- 2.5 The Derivative as a Function
- 2.6 Rules, Rules, and More Rules (including the Chain Rule)
- 2.7 Implicit and Parametric Differentiation
Technology Interlude: Solving Equations with the TI-92
Chapter 3: Understanding Discrete and Continuous Functions
- 3.1 Analyzing a Discrete Function
- 3.2 From Discrete to Continuous Functions
- 3.3 Finding Features of a Continuous Function
- 3.4 Optimization: Finding Global Extrema
- 3.5 An Inventory Problem and Group Projects
Chapter 4: The Definite Integral: Accumulation and Area
- 4.1 Rate and Distance
- 4.2 Quantity and Accumulation
- 4.3 Computation of the Accumulation
- 4.4 Finding the Value of a Definite Integral
- 4.5 Applications of the Definite Integral
Chapter 5: Connecting the Derivative and the Integral:
The Fundamental Theorem of Calculus and Computation
- 5.1 Rate and Accumulation
- 5.2 The Anti-Derivative Concept
- 5.3 The Fundamental Theorem of Calculus
- 5.4 Applications of the Fundamental Theorem
- 5.5 Using the Chain Rule in Finding Anti-Derivatives
- 5.6 Techniques of Integration
Theoretical Interlude: Can We Establish Eternal Truth in Mathematics?
Part II. Modeling with Differential Equations
Introduction to Part II: The Enzyme Experiment
Chapter 6: An Introduction to Differential Equations
- 6.1 What are Differential Equations and Initial Value Problems?
- 6.2 Functions Satisfying Differential Equations
- 6.3 Modeling with Differential Equations
- 6.4 Introduction to Qualitative Analysis
- 6.5 Introduction to Quantitative Analysis
Historical Interlude: Existence and Uniqueness
Chapter 7: First Order Differential Equations
- 7.1 Symbolic Formulas
- 7.2 Numeric Data Tables
- 7.3 Advanced Numeric Techniques
- 7.4 Graphical Representations
Chapter 8: Systems of Differential Equations
- 8.1 Modeling Interactive Systems
- 8.2 Numerical Solutions: EulerÕs Method
- 8.3 Vector Representation of a System of Differential Equations
- 8.4 Vector Fields and Flow Fields
- 8.5 Qualitative Solution: Phase Plane Analysis
- 8.6 Analytical Solutions: The Solution Vector
Chapter 9: Second Order Differential Equations
- 9.1 Gravity and Newton
- 9.2 The Harmonic Oscillator
- 9.3 Transformation to a First Order System
- 9.4 The Matrix Approach
- 9.5 Phase Planes
Chapter 10: Power Series: Approximating Functions with Functions
- 10.1 Picard's Folly
- 10.2 Euler's Paradise
- 10.3 How Good is Good?
- 10.4 Splines: Smoothing out the Rough Edges
Historical Interlude: Newton, Poincare, and the Study of the Universe
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For more information
contact any of the authors or Ellen Keohane at Addison Wesley.
Last update: 9 Sept, 1996 (WmCB)