8 characteristics
Linear Function Analysis
What do we want to know when we analyze any function?
We want to know the
- Domain
- Zeros
- Continuity
- discontinuities
- singularities
- End-Behavior
- Behavior
- intervals where increasing
- intervals where decreasing
- Global Maximum and Minimum
- Local Maximums and Minimums
- Range
- ...and we would like a nice graph
We want all of this information for linear functions and we want exact information,
not approximations.
Remember, we are beginning with graphical analysis, because that is a familiar
jumping off point for students. But, graphs are inherently inaccurate tools. That isn’t
what we want. We are taking our familiarity with graphical descriptions and
moving them over to algebraic descriptions, because algebra is our exact tool.
Linear functions are our initial bridge to exactness.
Linear functions are those functions which can be described with formulas like
The leading coefficient, , can be in our template for linear functions.
In this case, the linear function is a constant function. Constant functions are special types of linear functions. Their graphs are lines, like the graphs of all linear functions. They are just horizontal lines.
Domain
All linear functions are defined for all real numbers. Their natural domain is .
If you can identify a function as linear, then you automatically know its domain.
Note: We can restrict the domain of any function. Restricting the domain just
means that the stated domain is not all of the numbers that could be used in the
formula. For linear functions, we will alert the reader by titling such functions as
restricted linear functions.
Zeros
Every time we describe a characteristic for a linear function, we must separate
constant functions from other linear functions.
Constant functions do not have zeros, unless the constant function is the zero
function. In that case every number in the domain is a zero of the function.
Otherwise, linear functions have exactly one zero.
Continuity
Linear functions are continuous functions. They have no discontinuities or
singularities.
End-Behavior
Again, if the linear function is a constant function, then the end-behavior is just that
constant.
Otherwise, linear functions have opposite end-behavior on either side of the domain,
which is given by the sign of the leading coefficient.
- If the leading coefficient is positive,
- the function is unbounded negatively in the negative tail of the domain.
- the function is unbounded positively in the positive tail of the domain.
- If the leading coefficient is negative,
- the function is unbounded positively in the negative tail of the domain.
- the function is unbounded negatively in the positive tail of the domain.
This is probably easier to see, then write.
We will need some symbols and notation to make it easier to write about
end-behavior.
Our notation for end-behavior will be called limit notation.
the function is unbounded negatively in the negative tail of the domain.
the function is unbounded positively in the positive tail of the domain.
the function is unbounded positively in the negative tail of the domain.
the function is unbounded negatively in the positive tail of the domain.
Behavior
Increasing and Decreasing
The graph above vividly suggests that linear functions are always increasing or always decreasing.
- If the leading coefficient is positive, (then the graph moves up to the right) then the linear function is an increasing function.
- If the leading coefficient is negative, (then the graph moves down to the right) then the linear function is a decreasing function.
Increasing and decreasing refer to the rate of change.
- Increasing is a positive rate of change. (The domain and function values change in the same way.)
- Decreasing is a negative rate of change. (The domain and function values change in the opposite way.)
Maximums and Minimums
Global and Local
Absolute and Relative
- Linear functions do not have global maximums or minimums.
- Linear functions do not have local maximums or minimums.
If we restrict the domain, then we might have a maximum or minimum.
This is all true if the linear function is not a constant function.
If the linear function is a constant function, then the function only has one function
value at every domain number. That makes the one function value a global and local
maximum that occurs at every domain number.
Weirdly enough, That also makes the one function value a global and local minimum that occurs at every domain number.
Range
If the linear function is a constant function, then the range is just a single number .
Otherwise, all linear function have the same range,
Note: Restricting the domain will also restrict the range.
Analyze
matches the template for a linear function .
Since the leading coefficient is not , is a nonconstant linear function.
Domain
As a linear function, the domain of is .
Zeros
As a nonconstant linear function, has a single zero.
when .
Continuity
As a linear function, is continuous. There are no discontinuities or singularities.
End-Behavior
Since the leading coefficient is , which is positive, becomes unbounded negatively in the negative tail of the domain, while becoming unbounded positively in the positive tail of the domain.
Behavior
Since the leading coefficient is , which is positive, is an increasing function.
Global Minimum and Maximum
As a nonconstant linear function, has no global maximum or minimum.
Local Minimum and Maximum
As a nonconstant linear function, has no local maximums or minimums.
Range
As a nonconstant linear function, the range of is .
Analyze
Although the formula is not matching the template for a linear function , we can
rewrite in the form , which does match the template.
Since the leading coefficient is not , is a nonconstant linear function.
Domain
As a linear function, the domain of is .
Zeros
As a nonconstant linear function, has a single zero.
when .
Continuity
As a linear function, is continuous. There are no discontinuities or singularities.
End-Behavior
Since the leading coefficient is , which is negative, becomes unbounded positively in the negative tail of the domain, while becoming unbounded negatively in the positive tail of the domain.
Behavior
Since the leading coefficient is , which is negative, is a decreasing function.
Global Minimum and Maximum
As a nonconstant linear function, has no global maximum or minimum.
Local Minimum and Maximum
As a nonconstant linear function, has no local maximums or minimums.
Range
As a nonconstant linear function, the range of is .
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more examples can be found by following this link
More Examples of Linear Functions