characteristics and features
A graph always helps our thinking. Here is the graph of .
Domain
From the definition of , we can see the domain is .
Zeros
We can see from the graph that usually the component pieces of would total four intercepts and zeros. One each from the linear pieces and two from the quadratic piece. However, the domain restrictions only admit two of them. The greater zero from the quadratic piece and the zero from the right linear function. These are both represented by intercepts on the graph.
The left line would have an intercept, except the domain does not allow it. The middle parabola has a left intercept, except the domain does allow it.
From the graph, we might estimate our two zeros to be around and . What are the exact values?
The middle piece.
We are solving . Since this is in factored form, we can quickly see the candidates are and . is not in the domain for this piece of , which is .
Therefore, has as its only zero contributed from the quadratic piece.
The right piece.
Increasing and Decreasing
- is a linear function. Its constant rate of change is . This tells us it is a decreasing function. is decreasing on .
- is a quadratic on . Here, . The critical number occurs when , which
happens when . This agrees with the midpoint of the zeros, which are
and . Therefore, is where the function switches behavior.
- On , , therefore, is increasing.
- On , , therefore, is decreasing.
This agrees with the graph.
Technically: We also need to account for the endpoints. is increasing on , since the dot at is lower than the left side of the included parabola.
Technically: is increasing on , since the dot at is lower than the left side of the included line segment.
The intervals where is monotonic are
- is decreasing on .
- is increasing on .
- is decreasing on .
- is increasing on .
Extreme Values
We have three pieces to our function and the graph will help our algebra. We’ll gather information about the pieces indiviudally and then combine them for .
- is a decreasing linear function on . Its maximum would occur at the left endpoint, which is included. Therefore, the maximum is . Its minimum would be at the right endpoint, which is included. Therefore, the minimum is .
- is a quadratic on . Its graph is a parabola opening down and we have seen
that increases and then decreases.
Therefore, its maximum value corresponds to the vertex, , which is included. We get a maximum value of . The candidates for minimum value would occur at the endpoints, except only the right endpoint is included. is a possible minimum value.
We could have expanded the factored form: . This is now in vertex form, . From this expression we can see that the vertex is , and the negative leading coefficient tells us that we have a maximum of occuring at .
We could have observed the expanded form as a standard form, . Then the quadratic formula would give us as the location of the vertex and the place where the behavior changes.
And, we can look at the instantaneous rate of change. The middle piece of is a quadratic, therefore, the vertex form gives us . This equals at , which means is a critical number and a possible location of changing behavior.
- is an increasing linear function on . Its maximum would be encoded in the right endpoint, which is excluded. Its minimum would be encoded in the left endpoint, which is also excluded. This piece is contributing no extreme values to .
Our analysis of the pieces leaves us with a global maximum value of for . occurs twice. Once at and then again at .
Our analysis of the pieces leaves us with a global minimum value of for . occurs once at .
Each of these global extrema are also local extrema. In addition we have , which is a local minimum occuring at .
Consider the open interval . is a decreasing function on . is an increasing function on . This tells us that is a minimum value on this neighborhood of . Thus, is a local minimum of .
Critical Numbers
We know that the instantaneous rate of change of the middle quadratic is
We know that the instantaneous rate of change of the left linear is
We know that the instantaneous rate of change of the right linear is
The only place where the is at , therefore, is a critical number.
We also include domain numbers where the does not exist. That would be domain numbers where there is no corresponding tangent line. That would include and .
The set of critical numbers is .
This doesn’t include all of the places where we were investigating for extreme values. We also looked at . There is a tangent line at , which means is not a critical number. Instead, is an endpoint of a maximal interval of the domain. That automatically makes a candidate for the location of an extreme value of .
Critical numbers and endpoints: .
These are exactly the places we have been investigating for possible maximums and minimums.
Range
Since each piece of is continuous, the ranges of the three pieces of are , , and .
The range of is their union.
Continuity
Linear and quadratic functions are continuous functions. is continuous on , , and .
These correspond to the intervals in the definition of , because there were no isolated
points.
Therefore, we only need to check the endpoints of maximal intervals. Here, those would be .
- is an included endpoint of a maximal interval.
- there is a jump discontinuity at .
- there is a jump discontinuity at .
- is not in the domain.
This will help our algebraic explanations.
Let be a small positive number. Consider the corresponding interval, .
- On , the values of are greater than , since is decreasing here.
- On , the values of are greater than . Let’s verify this.
We have .
For , we would need or . Neither of these is true, since
How come ?
, which is only away from . That seems pretty small.
Nope!
is a veeeeeeeeeeery smaaaaaaaaaaaaaaall postive number. is HUGE compared to .
This part of our new way of thinking. We are trying to get away from specific numbers and, instead, think of types of numbers. Our first encounter with this type of thinking is . It is representing a very small type of number, much smaller than the usual small numbers we have encountered in the past. But, it is not any particular small number. It is representing all of them. Kind of weird.
Following the definition of discontinuity, let’s pick a distance of .
No matter how small is, ALWAYS contains a domain number, , such that the distance between and is greater than .
This tells us that there is a discontinuity at .
Let be a small positive number. Consider the corresponding interval, .
- On , the values of are less than .
- On , the values of are greater than .
Following the definition of discontinuity, let’s pick a distance of .
No matter how small is, ALWAYS contains (at least) one domain number, , such that the distance between and is greater than .
This tells us that there is a discontinuity at .
Graphs are inherently inaccurate. We cannot be exact with them. They hide stuff all of the time. We need better ways, algebraic ways, of talking about types of discontinuities: “jump”, “removeable”, and “asymptotic”.
Our algebraic notation to talk about function behavior around discontinuities and singularities will be called limits. Limits have already made an appearance helping us describe end-behavior, algebraically.
Extrema
The extreme values of a function are the maximum and minimum values. There are
two types of each.
The global maximum and mimnium values are the overall greatest and least values of
the function. There can be at most one global maximum value (there might not be an
actual global maximum value). There can be at most one global minimum value
(there might not be an actual global minimum value). These two values can occur at
many domain numbers.
Local maximum and minimum values are greatest and least values that occur in a
“neighborhood” of a domain number. There can be many local extrema values that
occur at many domain numbers.
- Graphically, global maximum values are visually encoded as the highest point on the graph.
- Graphically, global minimum values are visually encoded as the lowest point on the graph.
- Graphically, local maximum values are visually encoded as the tops of hill on the graph.
- Graphically, global minimum values are visually encoded as the bottoms of valleys on the graph.
- Graphically, local extrema values are visually encoded as endpoints.
- Graphically, local extrema values are visually encoded as singleton points.
As the function above illustrates, there are several places where extrema occur for functions.
Horizontal Tangent Lines
An extreme value can occur where a tangent line is horizontal, or has a slope.
These would correspond to tops of hills and bottoms of valleys in the graph.
Endpoints
Extreme values can happen at the endpoints.
Peek Ahead: A graph can have a tangent line at an endpoint on a graph. However,
the derivative doesn’t exist there since there is only one side. In Calculus, we will talk
about a one-sided derivative for these cases.
We have other places where an extreme value can occur.
Vertical Tangent Lines
An extreme value can occur where a tangent line is vertical, or has no slope. These
would correspond to cusps in the graph.
This graph has a tangent line at . It is a vertical line and vertical lines do not have a
slope.
Corners
An extreme value can occur where no tangent line exists. These would correspond to
corners in the graph.
This graph has no tangent line at .
We can sum up this ideas as follow:
Candidates for locations of extrema values are domain numbers where the derivative is or Does Not Exist.
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more examples can be found by following this link
More Examples of Piecewise-Defined Functions