Limits at infinity truly are not so difficult once you've become familiarized with then, but at first, they may seem somewhat obscure. The basic premise of limits at infinity is that many functions approach a specific y-value as their independent variable becomes increasingly large or small. We're going to look at a few different functions as their independent variable approaches infinity. Consider the following graph:

In the graph above, it is fairly easy to see that as x becomes increasingly large or increasingly small, the y-value of f(x) becomes very close to zero, though it never truly does equal zero. When a function's curve suggests an invisible line at a certain y-value (such as at y=0 in this graph), it is said to have a **horizontal asymptote** at that y-value. We can use limits to describe the behavior of the horizontal asymptote in this graph, as:

Try setting xmin as -100 and xmax as 100, and you will see that f(x) becomes very close to zero indeed when x is very large or very small. Which is what you should expect, since one divided by a large number will naturally produce a small result.

The concept of one-sided limits can be applied to the vertical asymptote in this example, since one can see that as x approaches 3 from the left, the function approaches negative infinity, and that as x approaches 3 from the right, the function approaches positive infinity, or:

Unfortunately, the behavior of functions as x approaches positive or negative infinity is not always so easy to describe. If ever you run into a case where you can't discern a function's behavior at infinity--whether a graph isn't available or isn't very clear--imagining what sort of values would be produced when ten-thousand or one-hundred thousand is substituted for x will normally give you a good indication of what the function does as x approaches infinity.

Let's analyze a couple of not-so-straightforward examples concerning limits at infinity to ensure a full understanding of how they work. Take a look at this strangely bird-like function:

The graph gives it away; the limit of the function as x approaches either positive or negative infinity is two. But what if we didn't have the graph? There are actually a couple of clues as to what value the function approaches at both infinities. Compare the numerator to the denominator: see how the "highest power" of each polynomial is 4? The numerator has 2*x^4 and the denominator has simply x^4. Perhaps you see where this is going--what do you get when you divide 2*x^4 by x^4? Why, 2 of course. Simply put, when the numerator and the denominator of a function have the same power--when the highest exponents of x between the top and bottom of the fraction match--the function will have a horizontal asymptote at y equals (coefficient of numerator's highest power) / (coefficient of denominator's highest power).

Well...maybe that wasn't so simple. Let me reiterate with a general case. For a function like this one:

Assuming that n is the highest exponent of both the numerator and denominator and that a and b are coefficients:

For this trick to work, though, the function must be a rational expression (one polynomial divided by another) and cannot have trigonometric or other special functions in the numerator or denominator. For example, the horizontal asymptote of the following function cannot be found using the above method, as it refers to an expression where x is an exponent.

Before you graph this function to see if and where it has a horizontal asymptote, though, let us try a bit of logical analysis. First, which will grow faster, e^x or 5^x? Evaluating 'float(e)' in SageMath will tell you that Euler's number e equals approximately 2.7182818284590451, so 5^x will grow more quickly than e^x. But what about the 2*x in the denominator? Consider the growth, now, of 5^x relative to 2*x. When x is 5, the former evaluates to 3125 while the latter evaluates to 10. What you should gather from this is that 5^x trumps all; as x approaches positive or negative infinity, the function will become the quotient of a big number (e^x) divided by a really big number that only continues to grow. In other words, one could write this as:

And tada! There you have it. Comparing relative growths is another way of figuring out the behavior of a function as its independent variable approaches infinity. Continue reading to learn about this lesson's final type of function, those that oscillate.

Even though the function oscillates indefinitely due to the sine function in its numerator, I can tell you without a doubt that the limit of the function as x approaches either positive or negative infinity is still zero. But why is this? The sine of a really big number must still be somewhere in the range of -1 and 1, while denominator will simply be a really big number. If we create a table of values, we can watch the function's behavior when x is large. Use the following code to create such a table.

There is another way to prove that the limit of sin(x)/x as x approaches positive or negative infinity is zero. Whether you have heard of it as the pinching theorem, the sandwich theorem or the **squeeze theorem**, as I will refer to it here, the squeeze theorem says that for three functions g(x), f(x), and h(x),

then

To apply this theorem, we have to find a function g(x) that is less than f(x) as well as a function h(x) that is greater than f(x). Since sin(x) is always somewhere in the range of -1 and 1, we can set g(x) equal to -1/x and h(x) equal to 1/x. We know that the limit of both -1/x and 1/x as x approaches either positive or negative infinity is zero, therefore the limit of sin(x)/x as x approaches either positive or negative infinity is zero. One could write this out as:

Find the limit of each function as x approaches positive and negative infinity, if either exists. Try determining each limit by analysis and/or plotting, then check your results in the Notebook using 'limit(..., x=...)'.