Section 1.4 Calculating Limits with Limit Laws
Subsection 1.4.1 Calculating Limits with Limit Laws
Think back to the functions you know and the sorts of things you have been asked to draw, factor and so on. Then they are all constructed from simple pieces, such as
- constants —
- monomials —
- trigonometric functions —
and
These are the building blocks from which we construct functions. Soon we will add a few more functions to this list, especially the exponential function and various inverse functions.
We then take these building blocks and piece them together using arithmetic
- addition and subtraction —
and - multiplication —
- division —
- substitution —
— this is also called the composition of with
The idea of building up complicated functions from simpler pieces was discussed in Section 0.5.
What we will learn in this section is how to compute the limits of the basic building blocks and then how we can compute limits of sums, products and so forth using “limit laws”. This process allows us to compute limits of complicated functions, using very simple tools and without having to resort to “plugging in numbers” or “closer and closer” or “ arguments”.
In the examples we saw above, almost all the interesting limits happened at points where the underlying function was badly behaved — where it jumped, was not defined or blew up to infinity. In those cases we had to be careful and think about what was happening. Thankfully most functions we will see do not have too many points at which these sorts of things happen.
For example, polynomials do not have any nasty jumps and are defined everywhere and do not “blow up”. If you plot them, they look smooth . Polynomials and limits behave very nicely together, and for any polynomial and any real number we have that
1
We have used this term in an imprecise way, but it does have a precise mathematical meaning.
That is — to evaluate the limit we just plug in the number. We will build up to this result over the next few pages.
Let us start with the two easiest limits
2
Though it lies outside the scope of the course, you can find the formal - proof of this result at the end of Section 1.7.
Since we have not seen too many theorems yet, let us examine it carefully piece by piece.
- Let
— just as was the case for definitions, we start a theorem by defining terms and setting the scene. There is not too much scene to set: the symbols and are real numbers. - The following two limits hold — this doesn’t really contribute much to the statement of the theorem, it just makes it easier to read.
— when we take the limit of a constant function (for example think of ), the limit is (unsurprisingly) just that same constant. — as we noted above for general polynomials, the limit of the function as approaches a given point is just This says something quite obvious — as approaches approaches (if you are not convinced then sketch the graph).
Armed with only these two limits, we cannot do very much. But combining these limits with some arithmetic we can do quite a lot. For a moment, take a step back from limits for a moment and think about how we construct functions. To make the discussion a little more precise think about how we might construct the function
If we want to compute the value of the function at then we would
- compute the numerator at
- compute the denominator at
- compute the ratio
Now to compute the numerator we
- take
and multiply it by 2 - subtract 3 to the result
While for the denominator
- multiply
by - multiply
by 5 - add these two numbers and subtract
Such trees were discussed in Section 0.5 (now is not a bad time to quickly review that section before proceeding). The point here is that in order to compute the value of the function we just repeatedly add, subtract, multiply and divide constants and
To compute the limit of the above function at we can do something very similar. From the previous theorem we know how to compute
and the next theorem will tell us how to stitch together these two limits using the arithmetic we used to construct the function.
Theorem 1.4.3. Arithmetic of limits.
Let let and be defined for all ’s that lie in some interval about (but need not be defined exactly at ).
exist with Then the following limits hold
— limit of the sum is the sum of the limits. — limit of the difference is the difference of the limits. — limit of the product is the product of limits.- If
then and, in particular,
Note — be careful with this last one — the denominator cannot be zero.
The above theorem shows that limits interact very simply with arithmetic. If you are asked to find the limit of a sum then the answer is just the sum of the limits. Similarly the limit of a product is just the product of the limits.
How do we apply the above theorem to the rational function we defined above? Here is a warm-up example:
Example 1.4.4. Using limit laws.
You are given two functions (not explicitly) which have the following limits as approaches 1:
Using the above theorem we can compute
Another simple example
Example 1.4.5. More using limit laws.
Find
We use the arithmetic of limits:
This is an excruciating level of detail, but when you first use this theorem and try some examples it is a good idea to do things step by step by step until you are comfortable with it.
Example 1.4.6. Yet more using limit laws.
Yet another limit — compute
To apply the arithmetic of limits, we need to examine numerator and denominator separately and make sure the limit of the denominator is non-zero. Numerator first:
and now the denominator:
Since the limit of the denominator is non-zero we can put it back together to get
In the next example we show that many different things can happen if the limit of the denominator is zero.
Example 1.4.7. Be careful with limits of ratios.
We must be careful when computing the limit of a ratio — it is the ratio of the limits except when the limit of the denominator is zero. When the limit of the denominator is zero Theorem 1.4.3 does not apply and a few interesting things can happen
- If the limit of the numerator is non-zero then the limit of the ratio does not exist
- If the limit of the numerator is zero then the above theorem does not give us enough information to decide whether or not the limit exists. It is possible that
- the limit does not exist, eg.
- the limit is
eg. or - the limit is zero, eg.
- the limit exists and is non-zero, eg.
Now while the above examples are very simple and a little contrived they serve to illustrate the point we are trying to make — be careful if the limit of the denominator is zero.
We now have enough theory to return to our rational function and compute its limit as approaches 2.
Example 1.4.8. More on limits of ratios.
Let and find its limit as approaches
Since this is the limit of a ratio, we compute the limit of the numerator and denominator separately. Numerator first:
Denominator next:
Since the limit of the denominator is non-zero, we can obtain our result by taking the ratio of the separate limits.
The above works out quite simply. However, if we were to take the limit as then things are a bit harder. The limit of the numerator is:
(we have not listed all the steps). And the limit of the denominator is
Since the limit of the numerator is non-zero, while the limit of the denominator is zero, the limit of the ratio does not exist.
It is IMPORTANT TO NOTE that it is not correct to write
Because we can only write
With a little care you can use the arithmetic of limits to obtain the following rules for limits of powers of functions and limits of roots of functions:
Theorem 1.4.9. More arithmetic of limits — powers and roots.
for some real number Then the following holds
so that the limit of a power is the power of the limit. Similarly, if
is an even number and or is an odd number and is any real number
then
More generally, if and is any real number,
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You may not know the definition of the power when is not a rational number, so here it is. If and is any real number, then is the limit of as approaches through rational numbers. We won’t do so here, but it is possible to prove that the limit exists.
Notice that we have to be careful when taking roots of limits that might be negative numbers. To see why, consider the case the limit
In order to evaluate such limits properly we need to use complex numbers which are beyond the scope of this text.
Also note that the notation refers to the positive square root of While and are both square-roots of the notation means This is something we must be careful of .
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Like ending sentences in prepositions — “This is something up with which we will not put.” This quote is attributed to Churchill though there is some dispute as to whether or not he really said it.
So again — let us do a few examples and carefully note what we are doing.
Example 1.4.10. .
By combining the last few theorems we can make the evaluation of limits of polynomials and rational functions much easier:
Theorem 1.4.11. Limits of polynomials and rational functions.
It is clear that limits of polynomials are very easy, while those of rational functions are easy except when the denominator might go to zero. We have seen examples where the resulting limit does not exist, and some where it does. We now work to explain this more systematically. The following example demonstrates that it is sometimes possible to take the limit of a rational function to a point at which the denominator is zero. Indeed we must be able to do exactly this in order to be able to define derivatives in the next chapter.
Example 1.4.12. Numerator and denominator both go to 0.
Consider the limit
If we try to apply the arithmetic of limits then we compute the limits of the numerator and denominator separately
Since the denominator is zero, we cannot apply our theorem and we are, for the moment, stuck. However, there is more that we can do here — the hint is that the numerator and denominator both approach zero as approaches 1. This means that there might be something we can cancel.
So let us play with the expression a little more before we take the limit:
So what we really have here is the following function
If we plot the above function the graph looks exactly the same as except that the function is not defined at (since at both numerator and denominator are zero).
When we compute a limit as the value of the function exactly at is irrelevant. We only care what happens to the function as we bring very close to So for the above problem we can write
So the limit as of the function is the same as the limit since the functions are the same except exactly at By this reasoning we get
The reasoning in the above example can be made more general:
Theorem 1.4.13.
How do we know when to use this theorem? The big clue is that when we try to compute the limit in a naive way, we end up with We know that does not make sense, but it is an indication that there might be a common factor between numerator and denominator that can be cancelled. In the previous example, this common factor was
Example 1.4.14. Another numerator and denominator both go to 0 limit.
Using this idea compute
- First we should check that we cannot just substitute
into this — clearly we cannot because the denominator would be - But we should also check the numerator to see if we have
and we see that the numerator gives us - Thus we have a hint that there is a common factor that we might be able to cancel. So now we look for the common factor and try to cancel it.
- Thus we really have that
Of course — we have written everything out in great detail here and that is way more than is required for a solution to such a problem. Let us do it again a little more succinctly.
Example 1.4.15. .
Compute the following limit:
If we try to use the arithmetic of limits, then we see that the limit of the numerator and the limit of the denominator are both zero. Hence we should try to factor them and cancel any common factor. This gives
Notice that even though we did this example carefully above, we have still written some text in our working explaining what we have done. You should always think about the reader and if in doubt, put in more explanation rather than less. We could make the above example even more terse
Example 1.4.16. Redoing previous example with fewer words.
Compute the following limit:
Numerator and denominator both go to zero as So factor and simplify:
A slightly harder one now
Example 1.4.17. A harder limit with cancellations.
Compute the limit
If we try to use the arithmetic of limits we get
So doing the naive thing we’d get This suggests a common factor that can be cancelled. Since the numerator and denominator are not polynomials we have to try other tricks . We can simplify the denominator a lot, and in particular eliminate the square root, by multiplying it by its conjugate
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While these tricks are useful (and even cute — this footnote is better in the online edition), Taylor polynomials (see Section 3.4) give us a more systematic way of approaching this problem.
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Mathematicians tend to have quite strong opinions on the beauty of mathematics. For example, Paul Erdős said “Why are numbers beautiful? It’s like asking why is Beethoven’s Ninth Symphony beautiful. If you don’t see why, someone can’t tell you. I know numbers are beautiful. If they aren’t beautiful, nothing is.”.
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Arguably the most prolific mathematician of the 20th century — definitely worth a google. The authors do not know his opinion on nested footnotes .
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Nested footnotes are generally frowned upon, since they can get quite contorted; see XKCD-1208 and also the novel “House of Leaves” by Mark Z. Danielewski.
So now we have
How did we know what to multiply by? Our function was of the form
so, to eliminate the square root from the denominator, we employ a trick — we multiply by 1. Of course, multiplying by 1 doesn’t do anything. But if you multiply by 1 carefully you can leave the value the same, but change the form of the expression. More precisely
Now the numerator contains roots, but the denominator is just a polynomial.
Before we move on to limits at infinity, there is one more theorem to see. While the scope of its application is quite limited, it can be extremely useful. It is called a sandwich theorem or a squeeze theorem for reasons that will become apparent.
Sometimes one is presented with an unpleasant ugly function such as
It is a fact of life, that not all the functions that are encountered in mathematics will be elegant and simple; this is especially true when the mathematics gets applied to real world problems. One just has to work with what one gets. So how can we compute
Since it is the product of two functions, we might try
But we just cheated — we cannot use the arithmetic of limits theorem here, because the limit
However, we do see that the function naturally decomposes into the product of two pieces — the functions and We have sketched the two functions in the figure on the left below.
While is a very well behaved function and we know quite a lot about it, the function is quite ugly. One of the few things we can say about it is the following
and we have sketched the result in the figure above (on the right). So the function we are interested in is squeezed or sandwiched between the functions and
If we focus in on the picture close to we see that approaches the functions and both approach Further, because is sandwiched between them, it seems that it also approaches
The following theorem tells us that this is indeed the case:
Theorem 1.4.18. Squeeze theorem (or sandwich theorem or pinch theorem).
Using the above theorem we can compute the limit we want and write it up nicely.
Example 1.4.19. .
Compute the limit
Since for all real numbers we have
Multiplying the above by we see that
Since by the sandwich (or squeeze or pinch) theorem we have
Notice how we have used “words”. We have remarked on this several times already in the text, but we will keep mentioning it. It is okay to use words in your answers to maths problems — and you should do so! These let the reader know what you are doing and help you understand what you are doing.
Example 1.4.20. Another sandwich theorem example.
Let be a function such that What is
We are already supplied with an inequality, so it is likely that it is going to help us. We should examine the limits of each side to see if they are the same:
So we see that the function is trapped between two functions that both approach as Hence by the sandwich / pinch / squeeze theorem, we know that
To get some intuition as to why the squeeze theorem is true, consider when is very very close to In particular, consider when is sufficiently close to that we know is within of and that is also within of That is
This means that
since we know that
But now by the hypothesis of the squeeze theorem we know that and so we have
And thus we know that
Exercises 1.4.2 Exercises
Exercises — Stage 1 .
Exercises — Stage 2 .
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9. (✳).
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Evaluate or explain why this limit does not exist.
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Evaluate .
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Exercises — Stage 3 .
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Suppose the position of a white ball, at time is given by and the position of a red ball is given by Using the definition from Section 1.2 of the velocity of a particle, and the limit laws from this section, answer the following question: if the white ball has velocity 5 at time what is the velocity of the red ball?