We continue with the pattern we have established in this text: after defining a new kind of function, we apply calculus ideas to it. The previous section defined functions of two and three variables; this section investigates what it means for these functions to be “continuous.”
We begin with a series of definitions. We are used to “open intervals” such as , which represents the set of all such that , and “closed intervals” such as , which represents the set of all such that . We need analogous definitions for open and closed sets in the - plane.
An open disk in centered at with radius is the set of all points such that .
Let be a set of points in . A point in is a boundary point of if all open disks centered at contain both points in and points not in .
A point in is an interior point of if there is an open disk centered at that contains only points in .
A set is open if every point in is an interior point.
A set is closed if it contains all of its boundary points.
A set is bounded if there is an such that the open disk, centered at the origin with radius , contains . A set that is not bounded is unbounded.
Figure 13.2.1 shows several sets in the - plane. In each set, point lies on the boundary of the set as all open disks centered there contain both points in, and not in, the set. In contrast, point is an interior point for there is an open disk centered there that lies entirely within the set.
The set depicted in Figure 13.2.1(a) is a closed set as it contains all of its boundary points. The set in (b) is open, for all of its points are interior points (or, equivalently, it does not contain any of its boundary points). The set in (c) is neither open nor closed as it contains some of its boundary points.
Determine if the domain of the function is open, closed, or neither, and if it is bounded.
SolutionThis domain of this function was found in Example 13.1.2 to be , the region bounded by the ellipse . Since the region includes the boundary (indicated by the use of “”), the set contains all of its boundary points and hence is closed. The region is bounded as a disk of radius 4, centered at the origin, contains .
Determine if the domain of is open, closed, or neither.
SolutionAs we cannot divide by 0, we find the domain to be . In other words, the domain is the set of all points not on the line .
The domain is sketched in Figure 13.2.2. Note how we can draw an open disk around any point in the domain that lies entirely inside the domain, and also note how the only boundary points of the domain are the points on the line . We conclude the domain is an open set. The set is unbounded.
Recall a pseudo-definition of the limit of a function of one variable: “” means that if is “really close” to , then is “really close” to . A similar pseudo-definition holds for functions of two variables. We’ll say that
“”
means “if the point is really close to the point , then is really close to .” The formal definition is given below.
Let be an open set containing , and let be a function of two variables defined on , except possibly at . The limit of as approaches is , denoted
means that given any , there exists such that for all , if is in the open disk centered at with radius , then
The concept behind Definition 13.2.2 is sketched in Figure 13.2.3. Given , find such that if is any point in the open disk centered at in the - plane with radius , then should be within of .
Computing limits using this definition is rather cumbersome. The following theorem allows us to evaluate limits much more easily.
Let , , , and be real numbers, let be a positive integer, and let and be functions with the following limits:
The following limits hold.
1. Constants:
2. Identity:
;
3. Sums/Differences:
4. Scalar Multiples:
5. Products:
6. Quotients:
, ()
7. Powers:
8. Roots:
(when is odd or )
This theorem can be proved by the same arguments as the analogous results for functions of one variable in Theorem 1.3.1. Combined with Theorems 1.3.3 and 1.3.4 of Section 1.3, this allows us to evaluate many limits.
Evaluate the following limits:
Solution
The aforementioned theorems allow us to simply evaluate when and . If an indeterminate form is returned, we must do more work to evaluate the limit; otherwise, the result is the limit. Therefore
We attempt to evaluate the limit by substituting 0 in for and , but the result is the indeterminate form “.” To evaluate this limit, we must “do more work,” but we have not yet learned what “kind” of work to do. Therefore we cannot yet evaluate this limit.
When dealing with functions of a single variable we also considered one-sided limits and stated
That is, the limit is if and only if approaches when approaches from either direction, the left or the right.
In the plane, there are infinite directions from which might approach . In fact, we do not have to restrict ourselves to approaching from a particular direction, but rather we can approach that point along any possible path. It is possible to arrive at different limiting values by approaching along different paths. If this happens, we say that does not exist (this is analogous to the left and right hand limits of single variable functions not being equal).
Our theorems tell us that we can evaluate most limits quite simply, without worrying about paths. When indeterminate forms arise, the limit may or may not exist. If it does exist, it can be difficult to prove this as we need to show the same limiting value is obtained regardless of the path chosen. The case where the limit does not exist is often easier to deal with, for we can often pick two paths along which the limit is different.
Watch the video:
Showing a Limit Does Not Exist from https://youtu.be/q9xIdF33ql8
Show does not exist by finding the limits along the lines .
Show does not exist by finding the limit along the path .
Solution
Evaluating along the lines means replace all ’s with and evaluating the resulting limit:
While the limit exists for each choice of , we get a different limit for each choice of . That is, along different lines we get differing limiting values, meaning the limit does not exist.
Let . We are to show that does not exist by finding the limit along the path . First, however, consider the limits found along the lines as done above.
By applying L’Hôpital’s Rule, we can show this limit is 0 except when , that is, along the line . This line is not in the domain of , so we have found the following fact: along every line in the domain of , .
Now consider the limit along the path :
Now apply L’Hôpital’s Rule twice:
Step back and consider what we have just discovered. Along any line in the domain of the , the limit is 0. However, along the path , which lies in the domain of for all , the limit does not exist. Since the limit is not the same along every path to , we say does not exist.
Let . Find
SolutionIt is relatively easy to show that along any line , the limit is 0. This is not enough to prove that the limit exists, as demonstrated in the previous example, but it tells us that if the limit does exist then it must be 0.
To prove the limit is 0, we apply Definition 13.2.2. Let be given. We want to find such that if , then .
Set . Note that for all , and that if , then .
Let . Consider :
Thus if then , which is what we wanted to show. Thus .
We also have a multivariable version of the squeeze theorem.
Let be an open set containing . Suppose , , and are defined on except possibly at and both
If for all except possibly at , then
This theorem provides other proofs of the previous example.
We have
Since and as we have
by the Squeeze Theorem.
If we set and we have as . Now
Thus
Since as we have again
by the Squeeze Theorem.
Definition 1.6.1 defines what it means for a function of one variable to be continuous. In brief, it meant that the function always equaled its limit. We define continuity for functions of two variables in a similar way as we did for functions of one variable.
Let a function be defined on an open disk containing the point .
is continuous at if .
is continuous on an open set if is continuous at each points in . (We say that is continuous everywhere if is continuous on .)
It follows that if is a continuous function of one variable, then (or ) is a continuous function of the variables .
Let . Is continuous at ? Is continuous everywhere?
SolutionTo determine if is continuous at , we need to compare to .
Applying the definition of , we see that .
We now consider the limit . Substituting for and in returns the indeterminate form “0/0”, so we need to do more work to evaluate this limit.
Consider two related limits: and . The first limit does not contain , and since is continuous,
The second limit does not contain . By Theorem 1.3.6 we can say
Finally, Theorem 13.2.1 of this section states that we can combine these two limits as follows:
We have found that , so is continuous at .
A similar analysis shows that is continuous at all points in . As long as , we can evaluate the limit directly; when , a similar analysis shows that the limit is . Thus we can say that is continuous everywhere. A graph of is given in Figure 13.2.4. Notice how it has no breaks, jumps, etc.
The following theorems are very similar to Theorems 1.6.1 and 1.6.2, giving us ways to combine continuous functions to create other continuous functions.
Let and be continuous on an open set , let be a real number, and let be a positive integer. The following functions are continuous on .
1. Sums/Differences:
2. Constant Multiples:
3. Products:
4. Quotients:
(as longs as on )
5. Powers:
6. Roots:
(if on or is odd)
Let be continuous on , where the range of on is , and let be a single variable function that is continuous on . Then
is continuous on .
Let . Show is continuous everywhere.
SolutionWe will apply Theorems 1.6.1, 13.2.3, and 13.2.4. Let . Since is not actually used in the function, and polynomials are continuous (by Theorem 1.6.1), we conclude is continuous everywhere. A similar statement can be made about . Part 3 of Theorem 13.2.3 states that is continuous everywhere, and Theorem 13.2.4 states the composition of sine with is continuous: that is, is continuous everywhere.
The definitions and theorems given in this section can be extended in a natural way to definitions and theorems about functions of three (or more) variables. We cover the key concepts here; some terms from Definitions 13.2.1 and 13.2.3 are not redefined but their analogous meanings should be clear to the reader.
An open ball in centered at with radius is the set of all points such that .
Let be an open set in containing , and let be a function of three variables defined on , except possibly at . The limit of as approaches is , denoted
means that given any , there is a such that for all , if is in the open ball centered at with radius , then .
Let be defined on an open ball containing . Then is continuous at if .
These definitions can also be extended naturally to apply to functions of four or more variables. Theorems 13.2.3 and 13.2.4 also applies to function of three or more variables, allowing us to say that the function
is continuous everywhere.
When considering single variable functions, we studied limits, then continuity, then the derivative. In our current study of multivariable functions, we have studied limits and continuity. In the next section we study derivation, which takes on a slight twist as we are in a multivariable context.
Describe in your own words the difference between boundary and interior points of a set.
Use your own words to describe (informally) what means.
Give an example of a closed, bounded set.
Give an example of a closed, unbounded set.
Give an example of a open, bounded set.
Give an example of a open, unbounded set.
In Exercises 7–10, a set is given.
Give one boundary point and one interior point, when possible, of .
State whether is open, closed, or neither.
State whether is bounded or unbounded.
In Exercises 11–18:
Find the domain of the given function.
State whether is an open or closed set.
State whether is bounded or unbounded.
In Exercises 19–24, a limit is given. Evaluate the limit along the paths given, then state why these results show the given limit does not exist.