Langara College - Department of Mathematics and Statistics
Internet Resources for the Calculus Student - Topics in Calculus
Definition of the Derivative
The derivative of a function is another function. Namely the one whose
value at a point is equal to the rate
of change of the given function (so, for a moving particle, the derivative
of its position as a function of time is its velocity as a function of
time). Here, by "rate of change" we mean the "instantaneous rate of change"
at a particular point rather than the average rate over an interval, and
there are various on-line illustrations of
this distinction, and of how the instantaneous rate can be defined as a
limit of average rates. Geometrically, in terms of the graph, the instantaneous
rate of change corresponds to the slope of the tangent line. Several on-line
animations and applets are available to illustrate how
this varies as we move along the curve, and also to show how it can
be found as a limit of secant line slopes.
The precise formal definition of the derivative avoids the term "instantaneous
rate" by working directly in terms of the limit
of average rates (which are themselves just ratios of differences).
Definition
For any function, f , its derivative is the function, f ',
whose value at any point x is given by
|
|
|
f(x+h) - f(x) |
f ' (x) |
= |
lim |
|
|
h -> 0 |
h |
(with domain D(f ')={all x for which the above limit exists}).
|
In the above definition the symbol h refers to a quantity that is being
taken to a particular limiting value (in this case 0), and since h is not
a value on which the limit depends, it is often called a "dummy variable"
and could be replaced by any other symbol without affecting the result.
A popular choice is to use instead the expression 'delta x' to emphasize
that it referrs to a difference of x values.
Another equivalent version of the definition is to work in terms of
the displaced point x+h (let's call it z) rather than the displacement
h, and to consider the limit as z->x of the ratios (f(z)-f(x))/(z-x)
In the above limit, the values of h can be either positive or negative,
and for f to be "differentiable" at x it is necessary for this two sided
limit to exist. But we could also consider the "one-sided derivatives"
that one might define by looking at just positive or just negative values
of h. This concept is illustrated at derivOneSide@ies
The name f ' that we have used for the derivative of f is
similar to that used by Newton (except that he used a dot directly over
the f rather than a 'prime' or apostrophe).
Another notation that is often used is due to Leibnitz, the other main
inventor of Calculus.
Instead of f', Leibnitz wrote df/dx (which is not intended to make
sense of df and dx separately, but just to remind us of the definition
as a limit of ratios). One problem with Leibnitz' notation is that it depends
on having a name for the input variable (x), and that is not really a property
of the function f itself, as any real value in its domain can be used as
input. This can sometimes be a source of confusion, especially when dealing
with composite functions and the chain rule, so watch out!
Some modern texts use the notation Df rather than f ' . This emphasizes
the idea of differentiation as an operation on the function f, and allows
us to refer to that operation itself with the symbol D.
When we want to emphasize differentiation as an operation, in terms
of Leibnitz' notation we often write df/dx as (d/dx)f, so the differentiation
operator D above can be written as d/dx.
If you have come across any good web-based discussions of the definition
of the derivative,
please do let
us know and we will add them here.
Derivatives
Intro to Concept and Definition
-
Introduction
to Derivative Concept (@ubc)
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Intro
to Derivative from Hofstra project
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Derivatives
Intro @PWS
Tangent Slopes
-
Surfing(Derivatives)@ies
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VisualCalculus
- Tangent Lines
-
Animation:all
the tangent lines to a curve
-
Deriv
from TanSlope(MathCad+QT@odu)
-
(graphics.html#tangent)byDougArnold@pennState
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(graphics-j.html#tangent)byDougArnold@pennState
-
MathsOnlineGallery
(@uVienn.austria) derivative(asTanSlope)
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Why
Slopes -- A Calculus Preview for Algebra Students
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Derivatives--
Introduction -- Curved Mirrors
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Stressed
Out - Slope as Rate of Change
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Secant Approximation to Tangent Lines
-
derivDef@ies
-
Sec&TanLines@ies
-
DerivativeDefinition
Java Applet
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JavaDiff(by
kThompson@OregonState)
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Animation:Secant
approaching the Tangent
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Tangent
Line Applet byDanSloughter@furman
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SecantGrapher
byJohnOrr@uNebraskaLincoln
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Visual
Calculus - Tangent as Limit of Secants
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(graphics.html#secants)byDougArnold@pennState
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(graphics-j.html#secants)byDougArnold@pennState
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Our
Own Version of the Secant -> Tangent thing
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Affine
Approx Applet byDanSloughter@furman
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derivOneSide@ies
Avg&Inst Rates
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Rolling
Ball Applet (@uPenn)
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Velocity@upenn(withQTmovies)
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Relative
Motion@upenn
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(graphics.html#bounce)byDougArnold@pennState
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(graphics-j.html#bounce)byDougArnold@pennState
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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
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(graphics-j.html#jagged)byDougArnold@pennState
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(graphics.html#jagged)byDougArnold@pennState
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Calc
1 pathologies(byTVogel@TexA&M)
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Interpretation
-
What
does the derivative tell us about a function?(@ubc)
-
Pickthe
correct derivative! by David Yuen
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CurvatureCircle@ies
-
LnGraphCircle@ies
Some Basic Rules
-
ProdRule@ies
-
derivCubics@ies
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Introduction
to Derivatives Computation(@ubc)
-
Differentiating
Linear Functions
-
Differentiating
Sums(@ubc)
-
Differentiating
Products(@ubc)
-
Differentiating
Quotients(@ubc)
Exp&Log
-
PrecalcExp&Logs@langara
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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
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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