This section contains documents created from scanned original files, which are inaccessible to screen reader software. A "#" symbol is used to denote such documents.
Lecture Notes

PDF
Section 1, Page 1 to page 2
Secant line and tangent line formally defined, with calculation example.
Prof. Jason Starr
None
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PDF
Section 1, Page 1 to page 2
Linearizations of functions are defined with an example.
Prof. Jason Starr
Concept of derivative (section 2 of lecture 1)
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PDF
Section 2, Page 2
Several important linear approximations.
Prof. Jason Starr
Linear Approximations (section 1 of this lecture)
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PDF
Section 3, Page 2 to page 4
Linear approximations at x=a of f(x), f(c*x), c*f(x), (f+g)(x), f(x)g(x), f(x)/g(x), and f(g(x)). Includes derivations of each and a worked example.
Prof. Jason Starr
Linear Approximations (section 1 of this lecture)
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PDF
Section 3, Page 3 to page 4
Problems and answers without full explanation. Finding tangent lines to an ellipse, minimizing surface area of a grain silo, finding the volume of a solid of revolution, computing an antiderivative using trig substitution, and computing an antiderivative using integration by parts.
Prof. Jason Starr
Tangent lines (section 1 of lecture 2), Max/Min problems (section 2 of lecture 10), Volume of solids of revolution (section 3 of lecture 19), Inverse substitution (section 3 of lecture 25), Integration by parts (section 1 of lecture 27)
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PDF
#
Page 1 to page 2
Definition and equation for the linear approximation of a function at a point. Includes diagrams and examples of basic linearizations.
Prof. David Jerison
None
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PDF
#
Page 2 to page 3
Relating linear approximation formulas to algebraic concepts of geometric series, the binomial theorem, and the sine function. Includes examples and a diagram for the sine function.
Prof. David Jerison
Linear Approximations (page 1 of this file)
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PDF
#
Page 3 to page 5
Using linearization to find the mass of a body according to special relativity and the mass of a body as it moves away from the earth.
Prof. David Jerison
Linear Approximations (page 1 of this file)
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Online Textbook Chapters

Document
Definition, including differentials and an applet for graphing a function and its derivative.
Prof. Daniel J. Kleitman
None
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Document
Estimating the values of an unknown function using linear approximation.
Prof. Daniel J. Kleitman
Linear Approximation (OT6.1)
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Document
Method for using iterated linear approximations to find an inverse function.
Prof. Daniel J. Kleitman
Linear Approximation (OT6.1)
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Practice Problems

PDF
Problem 1 (page 1 to page 2)
Three part question involving the tangent lines to the graph of f(x) = 1/x.
Prof. Jason Starr
None
Solution (PDF) Pages 8 to 10
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PDF
Problem 1 (page 1)
Finding the equation for the tangent line to an exponential function through a point not on the graph of the function.
Prof. Jason Starr
None
Solution (PDF) Pages 6 to 7
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Exam Questions

PDF
Problem 3 (page 4)
Finding the equation of a tangent line to the graph of a function that is defined with an implicit equation.
Prof. Jason Starr
None
Solution (PDF) Pages 4 to 5
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PDF
Problem 4 (page 5)
Finding a tangent line to the graph of a function through a point not on the graph.
Prof. Jason Starr
None
Solution (PDF) Pages 5 to 6
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PDF
Problem 11 (page 1)
Finding the lines through a given point which are tangent to a hyperbola.
Prof. Jason Starr
None
Solution (PDF) Page 4.
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PDF
Problem 1.1 (page 1)
Finding the tangent lines to the graph of the exponential function through a point not on the graph.
Prof. Jason Starr
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PDF
Problem 1.2 (page 1)
Finding the tangent lines to the graph of a function defined with an implicit equation through a point not on the graph.
Prof. Jason Starr
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PDF
Problem 6 (page 1) to problem 7 (page 1)
Two questions, one finding the horizontal tangent lines to a given curve and the other finding where a tangent line to a curve crosses the x-axis.
Prof. David Jerison
None
Solution (PDF)# Pages 4 to 5
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PDF
Problem 7 (page 1)
Using an exponential function to track the movement of a hawk as it chases a mouse.
Prof. David Jerison
None
Solution (PDF)# Page 1
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PDF
Problem 1 (page 1)
Finding the tangent line to a curve at a point.
Prof. David Jerison
None
Solution (PDF)# Page 1
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PDF
Problem 2 (page 1)
Finding the equation in slope-intercept form of a line tangent to a graph at a given point.
Prof. David Jerison
None
Solution (PDF)# Page 1
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Java Applets

Java Applet
Requires Java Virtual Machine
Applet which plots the derivative of a function and shows the relationship between the derivative and the tangent line at a point.
Prof. Daniel J. Kleitman
Differentiability (OT6.1)
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Java Applet
Requires Java Virtual Machine
Applet which will show some or all of these problems for a specified function at a chosen point.
Prof. Daniel J. Kleitman
Differentiability and Linear Approximation (OT6.1)
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