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Calculus of One Variable Functions
Key Terms
Function
A function is a rule that assigns a unique value
to each value
in a given domain.
The set of value taken by when takes all possible value in the domain is the range of .
Rational Functions
A function of the type
where and are polynomials, is called a rational function.
Its range has to exclude all those values of where .
Inverse Functions
Consider the function
.
If
is such that for each
in the range there is exactly one
in the domain, we can define the inverse
as:
Limits
Consider the following:
The value of the function can be easily calculated when
,
but when
,
we get the expression
.
However, when we evaluate
for values that approach 0, those values of
approach 1.
This suggests defining the limit of a function
to be the limiting value, if it exists, of
as
gets approaches
.
Limits from Above and Below
Sometimes approaching 0 with small positive values of gives you a different limit from approaching with small negative values of .
The limit you get from approaching 0 with positive values is known as the limit from above:
and with negative values is known as the limit from below:
If the two limits are equal, we simply refer to the limit.
Important Functions
Exponential Functions
It can also be written as an infinite series:
The two important limits to know are:
- as , ()
- as , ()
Note that for all real values of .
Hyperbolic Functions (sinh
and cosh)
The hyperbolic sine
()
and hyperbolic cosine function
()
are defined by:
Some key facts about these functions:
- has even symmetry and and have odd symmetry
- as , and
- ’s limits are -1 and +1
- Derivatives:
Natural Logarithm
Since the exponential of any real number is positive, the domain of is .
Implicit Functions
An implicit function takes the form
To draw the curve of an implicit function you have to rewrite it in the form . There may be more than one value for each value.
Differentiation
The derivative of the function is denoted by:
Geometrically, the derivative is the gradient of the curve .
It is a measure of the rate of change of as varies.
For example, velocity, , is the rate of change of displacement, , with respect to time, , or:
Formal Definition
As , the clospe of the cord slope of the tangent, or:
whenever this limit exists.
Rules for Differentiation
Powers
Trigonometric Functions
Exponential Functions
where and are constant.
Linearity
Product Rule
Quotient Rule
Chain Rule
Let
Example 1
Differentiate
.
Let ,
L’Hôpital’s Rule
l’Hôpital’s rule provides a systematic way of dealing with limits of functions like .
Suppose
and
and we want .
If
where any is any real number or , then
You can keep applying the rule until you get a sensible answer.
Graphs
Stationary Points
An important application of calculus is to find where a function is a maximum or minimum.
when these occur the gradient of the tangent to the curve, . The condition alone however does not guarantee a minimum or maximum. It only means that point is a stationary point.
There are three main types of stationary points:
- maximum
- minimum
- point of inflection
Local Maximum
The point is a local maximum if:
This is because is a decreasing function of near .
Local Minimum
The point is a local minimum if:
This is because is a increasing function of near .
Point of Inflection
Approximating with the Taylor series
The expansion
is an example of a Taylor series. These enable us to approximate a given function f(x) using a series which is often easier to calculate. Among other uses, they help us:
- calculate complicated function using simple arithmetic operations
- find useful analytical approximations which work for near a given value (e.g. for near 0)
- Understand the behaviour of a function near a stationary point
Strategy
Suppose we know information about only at the point . How can we find out about for other values of ?
We could approximate the function by successive polynomials, each time matching more derivatives at .
Example 1
For
near 0, approximate
by a quadratic.
Set :
Set :
Set :
So for near 0,
Check:
0.4 | 0.921061 | 0.920 |
0.2 | 0.960066 | 0.980 |
0.1 | 0.995004 | 0.995 |
General Case
Maclaurin Series
A Maclaurin series is a Taylor series expansion of a function about 0.
Any function can be written as an infinite Maclaurin Series
where
( means evaluated at )
Taylor Series
We may alternatively expand about any point to give a Taylor series:
a generalisation of a Maclaurin series.
An alternative form of Taylor series is given by setting where is small:
Taylor Series at a Stationary Point
If f(x) has a stationary point at , then and the Taylor series begins
- If then the quadratic part makes the function increase going away from and we have a minimum
- If then the quadratic part makes the function decrease going away from and we have a maximum
- If then we must include a higer order terms to determine what happens have a minimum
Integration
Integration is the reverse of differentiation.
Take velocity and displacement as an example:
where is the constant of integration, which is required for indefinite integrals.A
Definite Integrals
The definite integral of a function in the range is denoted be:
If ( is the derivative of ) then
Area and Integration
Approximate the area under a smooth curve using a large number of narrow rectangles.
Area under curve .
As the rectangles get more numerous and narrow, the approximation approaches the real area.
The limiting value is denoted
This explains the notation used for integrals.
Example 1
Calculate the area between these two curves:
Find the crossing points and
Since between and
Techniques for Integration
Integration requires multiple techniques and methods to do correctly because it is a PITA.
These are best explained by examples so try to follow those rather than expect and explanation.
Integration by Substitution
Integration but substitution lets us integrate functions of functions.
Example 1
Find
Let
The integral is then
Finally substitute out
Example 2
Find
Let
Then
The integral is now
Finally substitute out to get:
Example 3
Find
Use the previous example to get to
Since the limits are:
This gives us
Example 4
Find
- Try a trigonmetrical substitution:
Therefore
But so:
Hence
Integration by Parts
or
This technique is derived from integrating the product rule.
Example 1
Find
Use
Set
and .This means that and .
Application of Integration
Differential Equations
Consider the equation
To find , is not a straightforward integration:
The equation above does not solve for as we can’t integrate the right until we know … which is what we’re trying to find.
This is an example of a first order differential equation. The general form is:
Separable Differential Equations
A first order diferential equation is called separable if it is of the form
We can solve these by rearranging:
Example 1
Find
such that
where
is a constant.
Rearrange to get
where is an arbitrary constant.
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