By Rick Stoll |
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The concept of a limit is fundamental to Calculus. In fact, Calculus without limits is like Romeo without Juliet. It is at the heart of so many Calculus concepts like the derivative, the integral, etc. So what is a limit? Maybe the best example to illustrate limits is through average and instantaneous speeds: Let us assume you are traveling from point A to point B while passing through point C. Then we know how to compute the average speed from A to B: it is simply the ratio between the distance from A to B and the time it takes to travel from A to B. Though we know how to compute the average speed this has no real physical meaning. Indeed, let us suppose that a policeman is standing at point C checking for speeders going through C. Then the policeman does not care about the average speed. He only cares about the speed that you see on the speedometer, the one that the car actually has when crossing C. That one is real. How do we compute this "instantaneous speed"? That's not easy at all! Naturally one way to do this is to compute the average speed from C to points close to C. In this case, the distance between these points and C is very small as well as the time taken to travel from them to C. Then we look at the ratio: Do these average speeds over small distances get close to a certain value? If so, that value should be called be the instantaneous speed at C. In fact, this is exactly how the policeman's radar computes the driver's speed! Let us express this more mathematically. If s(t) is a function
that determines the position of the moving object, and assume that at time t0,
the moving object is at C. At
![]() Then we study these numbers when ![]()
![]() to indicate the instantaneous speed at C. Before we state the formal definition of the limit, let us consider the
function
![]() Clearly this function makes sense as long as the input is not equal to 0. In other words, we can take as an input any number close enough to 0, but not 0 itself.
It is clear by looking at the outputs that, when x gets close to 0,
![]()
You have to be very careful when you use calculators not to jump to
conclusions too quickly. Quantities may be getting close to each other up to a
certain point but then they may move further away from each other again. This
happens frequently when dealing with chaotic systems, for example. Most of the
calculators do computations up to nine digits or so. So two numbers with the
same nine decimals are equal (according to the calculator). Be aware of the
dangers from these shortcomings of calculating devices! But in the above
statement, we mean that
![]() How do we express: "x very close to 0"? Simply by saying that there exists ![]() ![]() ![]() ![]() ![]() ![]() ![]() Definition of limit. Let f(x) be a function defined
around a point c, maybe not at c itself. We have
![]() iff for any ![]() ![]()
![]() The number L is called the limit of f(x) when x goes to c. Sometimes the function is not defined around the point c but only to the left or right of c. Then we have the concepts of left-limit and right-limits at c.
Of course, if a function has a limit when x get closer to c from both
sides then the left and right limits exists and are equal to the limit at the
point, i.e. if
![]()
The following joke comes to my mind: An engineer, a physicist and a mathematician take a train ride through the Scottish countryside. Suddenly they see a sheep outside in a meadow. The engineer says: "Wow, in Scotland all sheep are black!" The physicist replies: "Not really; there is at least one black sheep in Scotland!" - The mathematician smiles and replies: "There is at least one sheep in Scotland with at least one black side." (My apologies to all engineers, who seem to be at the receiving end of most math jokes!). What's the point? Whether you want to look at the limit world through the
eyes of the "physicist" or the "mathematician" depends on
your and your teacher's expectations! Maybe it suffices to stay with the
"getting closer"-idea, maybe you need to dig into the workings of the
formal
Example. Consider the function
![]() So obviously we have
![]() which implies that ![]() Example. Consider the function
We see that f(x) does not get close to anything, even when x is
close to 0 from the right, or the left. Thus
Example. Let
f(x) = x2. It is easy to see that
![]() Let us show this through the formal definition. Indeed, let ![]() ![]() ![]() ![]()
![]() This finishes the proof of our claim. Note that it was quite easy in this example to find Example. Consider the function
![]() Indeed, let ![]() ![]() ![]() ![]()
![]() So if ![]()
![]() So if we choose ![]() ![]()
![]()
In the following example, we discuss a limit at a "generic" point c. Example. Let f(x) =x and g(x) = C,
where C is a constant. Then for any point a, we have
![]() and
![]() You may want to check these two statements by going through the ![]() ![]()
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