Higher order Derivatives
In the following formulas, we show the higher order derivatives before diving into practical applications.
If we define functions Like
,
,
and
with
being the variable and
a natural number:
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The chain rule:
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This can be used to generate many formulas seen in our table.
Example:
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Let ![]()
We know that:
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Finally:
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Logarithmic Differentiation:
This is a very useful method that can be used to find the derivative of any function.
Using the formula ![]()
We proceed as follows:
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Example:
Find the derivative of:
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Solution:
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Second derivative
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Higher-order derivatives
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Leibnitz’s Formulas
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Some Applications of Derivative:
It will not be possible to list all applications of the derivative in few lines. However, through worked problems, this site will help you understand many aspects of the rate of change.
Remember that the derivative is the rate of change of some functions.
When you are driving a car, you start it, you accelerate and your speed increase at a certain rate. After some time, when you stop accelerating, you may drive at a constant speed. When you are near the point of arrival, you slow down and then stop.
The speed has increased, became constant and decreased. This is a typical derivative description. The rate of change was positive, so was the derivative during that period. Then the rate of change became
and finally it became negative to the point of stop.
Mean value theorem:
If a function
is continuous on
and differentiable on
, then
for some number
in
.
Corollary :
If
for all
in
, then
is constant on
, meaning that there is a constant
such
for all
in ![]()
Corollary:
Let
be a function that is continuous on
and differentiable on
:
If
for all
in
, then
is an INCRESAING FUNCTION on ![]()
If
for all
in
, then
is an DECRESAING FUNCTION on ![]()
First derivative Test Theorem:
Let the function
be continuous on the open interval
and be differentiable there except possibly at ![]()
1. If
on
and
on
, then
is the minimum value of
on ![]()
2. If
on
and
on
, then
is the maximum value of
on ![]()
3. If
or
for all
in
except for
, then
is neither a maximum nor a minimum value for
Tangent line at a given point:
Normal line at a given point:
Inflection Points
If
exists and
changes sign at
, the the point
is an inflection point of the graph of
. If
exists at the inflection point, then ![]()
L’Hopital’s Rule
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if:
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