sudden breaks

The graphs we have seen so far clearly show all kinds of breaks. The function represented by the graph below is experiencing some drastic behavior around some individual domain numbers. Let’s examine some of these breaks and classify them into a few types.

Basic Types of Breaks

A quick review of graphs seen so far in this course shows there are three basic types of breaks.

  • Removeable: The graph above has a very subtle break at . The graph is almost one piece, except one point has been shifted up. This type of break gets the name removeable, because you could remove the break by just sliding that point back in place.
  • Asymptotic: The break at is not subtle at all. One side is heading up to infinty and the other side is heading down to negative infinity. You can’t get a bigger break than that. Graphically, the asymptote is communicating this behavior, hence, the break is called an asymptotic break.
  • Jump: The break at is called a jump, because the graph makes a sudden vertical jump from one location to another location.

In all three cases, the graph experiences a sudden vertical movement. This sudden vertical movement may not be predictable from the points leading up to the sudden movement.

Discontinuities

One of the strongest purposes of mathematics is simply description and communication. We like mathematics to be explicit and exact, which requires the support of lots of specific language and notation. We call this rigor. As we investigate breaks in the graphs of functions, we want language that is explicit, so that we can clearly communicate about the underlying function behavior.

With this in mind, let’s compare the following two graphs.

These two graphs (and the underlying functions) are almost identical. They have the same breaks, almost. The difference is the graph on the left has a point for and no point on the asymptote. The right graph has reversed this.

The difference is the underlying function for the graph on the left includes in its domain and not . The underlying function for the graph on the right reverses this. In the world of functions, this is significant. We want our language to note the differences. Therefore, we are going to adopt some language to separate these ideas.

Discontinuities are numbers in the domain of the function and singularities are not in the domain. Of course, all of this gets more complicated as we encounter more functions. But this is a good start.

Endpoints make an exact definition of discontinuity messy, because we want to say there are domain numbers on one or both sides of the discontinuity and these domain numbers have no space between them. There is no open interval between domain numbers.

The last condition says that no matter how close to you look, there is always another domain number where the function value is wildly different.

No matter how close you look at , the jump is still there.

The second condition is our algebraic way of saying, “no matter how close you look”.

If is a discontinuity of , then we say that is discontinuous at .

This is the type of exactness we want in our discussions. This is rigor. We want to talk algebraically about “always”, “close enough”, and “small enough”. Fluency in the notational language will take some time. But we have some time until Calculus.

No matter how close you get to in the domain, there is ALWAYS a jump of more than in the value of the function.

As you can see, this is easy to see visually, but difficult to describe algebraically. It will take some time to describe discontinuitys and singularities with algebra.

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more examples can be found by following this link
More Examples of Visual Features