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Internet Resources for the Calculus Student - Rates of Change

Slope of a Curve - Tangents and Secant Lines

One interpretation of the "slope" at a point on a curve is as the slope of the "tangent line" which just touches the curve at that point. This may give a value of the slope for each point on the graph of a function, and so the slope value is just another function of the position (this new function is what is called the "derivative" of the function you started with).  The following pages may help you to see how this new function is related to the one that it is derived from.
  1. This shows the tangent line to a curve, varying as the contact point moves along the curve.
  2. Guessing the Derivative from a graph
  3. Pick the derivative!


When given the graph of a function, it is not hard to estimate the tangent slope at any point by just drawing the tangent and measuring rise and run between any two points on it. But the accuracy of this will be limited by that of our measurements - which cannot be made arbitrarily precise.

It is easy to determine the exact slope of a straight line through two given points with known coordinates, but for the tangent line we start with the knowledge of just the one contact point, so how can we actually compute its slope? One approach is to approximate the tangent's slope by that of a nearby secant line (ie a line which passes through two points on the curve). This may still be an approximation, but if we have a formula for the given function, then we can take the second point as close as we like to the first and so may be able to achieve arbitrarily close approximations to the "true" tangent slope. The following applets allow you to see how the secant line approaches a tangent as the two points get close together.
 

  1. This page includes a simple movie of secant lines approaching a tangent
  2. This is another motion-picture version of the secant lines approaching a tangent
  3. These animations are nicely designed but slow to load (they are also available in a non-Java "gif animation" version)
  4. This one allows you to zoom in or out and to vary the graph used for the demo
  5. Explore the construction of  tangent lines as limits of secant lines (with a MathView notebook illustrating the slope calculations and input that you can edit to change the function or contact point)
  6. This lab at UBC deals with the same issue, and
  7. This lesson from another on-line course also includes an example of a "secant applet"
  8. and here's another Derivative Definition Java Applet
You might also check our 'raw list' (of links provided without comment) to see if there are any more examples there that we haven't yet included here.

If you have come across any good web-based illustrations of these and related concepts,
     please do let us know and we will add them here.


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Derivatives

Intro to Concept and Definition

Introduction to Derivative Concept (@ubc)
Intro to Derivative from Hofstra project
Derivatives Intro @PWS
 

Tangent Slopes

Surfing(Derivatives)@ies
VisualCalculus - Tangent Lines
Animation:all the tangent lines to a curve
Deriv from TanSlope(MathCad+QT@odu)
(graphics.html#tangent)byDougArnold@pennState
(graphics-j.html#tangent)byDougArnold@pennState
MathsOnlineGallery (@uVienn.austria) derivative(asTanSlope)
Why Slopes -- A Calculus Preview for Algebra Students
Derivatives-- Introduction -- Curved Mirrors
Stressed Out - Slope as Rate of Change

Secant Approximation to Tangent Lines

derivDef@ies
Sec&TanLines@ies
DerivativeDefinition Java Applet
JavaDiff(by kThompson@OregonState)
Animation:Secant approaching the Tangent
Tangent Line Applet byDanSloughter@furman
SecantGrapher byJohnOrr@uNebraskaLincoln
Visual Calculus - Tangent as Limit of Secants
(graphics.html#secants)byDougArnold@pennState
(graphics-j.html#secants)byDougArnold@pennState
Our Own Version of the Secant -> Tangent thing
Affine Approx Applet byDanSloughter@furman
derivOneSide@ies

Avg&Inst Rates

Rolling Ball Applet (@uPenn)
Velocity@upenn(withQTmovies)
Relative Motion@upenn
(graphics.html#bounce)byDougArnold@pennState
(graphics-j.html#bounce)byDougArnold@pennState
Derivatives: Rate of change/Learn
Avg&InstRates - from PWS
Calculus Online@ubc: Lab 2(avg&inst rates)
Lab 2 Grades and Solutions
 

Differentiability

Continuity and Differentiability(@ubc)
MathsOnlineGallery (@uVienn.austria) NowhereDiffble
(graphics-j.html#jagged)byDougArnold@pennState
(graphics.html#jagged)byDougArnold@pennState
Calc 1 pathologies(byTVogel@TexA&M)

Interpretation

What does the derivative tell us about a function?(@ubc)
Pickthe correct derivative! by David Yuen
CurvatureCircle@ies
LnGraphCircle@ies

Some Basic Rules

ProdRule@ies
derivCubics@ies
Introduction to Derivatives Computation(@ubc)
Differentiating Linear Functions
Differentiating Sums(@ubc)
Differentiating Products(@ubc)
Differentiating Quotients(@ubc)

Exp&Log

PrecalcExp&Logs@langara
Karl's Calculus Tutor - 6.1 Be Fruitful and Multiply
S.O.S. Math - Calculus(starts with exp&log)
e(1)@ies
TheNumber e (def by exp'(0)=1)
Derivatives of Exponentials(@ubc)

Trig

PrecalcTrigFunctions@langara
DerivSin@ies
TheDerivetaive of the Sine
derivSinAnimation@odu
Derivatives of Trigonometric functions(@ubc)
Inverse Trigonometric Functions(@ubc)

Chain Rule

Relative Motion@upenn
Composite Functions@ies
ChainRule@ies
The Chain Rule(@ubc)
Implicit Differentiation(@ubc)
Applications of The Chain Rule(@ubc)

Mean Value Theorem

MVT@ies