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As we have been calculating general derivatives,
we have been getting algebraic results. These general derivative
results form a new function which itself has all of the properties and
characteristics of a function.
| Here we take a look at the function 1) The derivative never negative. This tells us that the function is never decreasing. 2) The derivative is zero only once. This tells us that at x = 0, the slope of the function is zero. (For this cubic function this means that there is a point of inflection at x = 0. 3) The slope of the derivative curve first decreases, and then increases, but never goes below zero. This tells us that for the beginning of the curve (x < 0) the slope of the function is decreasing. For the second "half" of the curve (x > 0) the slope of the function is increasing. |
| If you have the Journey Through Calculus CD, load and run MResources/Module 3/Derivatives as Functions/Mars Rover. This module shows an animation of the relation between a function and its derivative.. |
| If you have the Journey Through Calculus CD, load and run MResources/Module 3/Slope-a-Scope/Derivative of a Cubic. This module shows another animation of the relation between a function and its derivative. |
Approximating a derivative
from a function's table of values. In scientific research, all we often
have is some data, and no equation. How can we approximate a derivative
in this situation?
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The first two columns at left are scientific data regarding the number of yeast cells in a new laboratory culture after a certain number of hours. The last column is the slope or average rate of change from point 1 to point 2, etc. |
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Here is a plot of the ordered pairs in the first two columns from the above chart. Even though this is discrete data, we can make a scatterplot of the data and get a feel for what this might look like in continuous form. |
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If we plot both the set of ordered
pairs in the first two columns (blue), and the set of ordered
pairs with the first column paired with the last column
(pink) we get
the two plots at the left.
Here we can also see what the derivative might look like if it was continuous. (pink) This pink set of discrete points (if connected) show that: 1) The derivative
of this function
is always positive,
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Important Note:
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This technique assumes that there are not significant fluctuations between the given points of information. |
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co-discoverer of calculus |
co-discoverer of calculus |
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f-prime notation |
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An application of different degree derivatives that is
commonly used in science is the following:
| Scientific Application | Calculus Term |
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| Displacement or Distance Function | original function |
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| Velocity | 1st derivative |
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| Acceleration | 2nd derivative |
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| Jerk | 3rd derivative |
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Definition:
| Differentiable | A function is differentiable at c
if f '(c) exists. To be
differentiable over an interval,
it must be differentiable at every point in the interval.
Differentiate is the verb form of derivative.
For f '(c) to exist, f
(c) must be defined and |
| If you have the Journey Through Calculus CD, load and run MResources/Module 3/Slope-a-Scope/Derivative of a Cubic. This module shows another animation of the relation between a function and its derivative. |
| Using your Tools for Enriching Calculus CD (that came with your book), load and run Module 2.8A. This module guides you in determining properties of the derivative f ' by examining the graphs of a variety of functions f. |
| Using your Tools for Enriching Calculus CD (that came with your book), load and run Module 2.8. This module will let you see how changing the coefficients of a polynomial f affects the appearance of the graphs of f, f ', and f ''.. |
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