# 1. Limits and Differentiation

by M. Bourne

### On this page

Limit as *x* → some number

Limit as *x* → 0

Limit as *x* → ∞

Continuity & Differentiation

Split Functions & Differentiation

To understand what is really going on in differential calculus, we first need to have an understanding of **limits**.

## Limits

In the study of calculus, we are interested in what happens to the value of a function
as the independent variable *gets very close* to a particular value. We came across this concept in the Introduction, where we zoomed in on a curve to get an approximation for the slope of that curve.

## Limits as *x* Approaches a Particular
Number

Sometimes, finding the limiting value of an expression means simply substituting a number.

### Example 1

Find the limit as *t* approaches `10`
of the expression `P = 3t + 7`.

### Example 2

We know that *x* cannot equal `3` in the following expression (because we cannot have a denominator equal to zero):

`f(x)=(x^2-2x-3)/(x-3)`

What is the value of the function as *x*** approaches** `3`?

**CAUTION:** The factorising process is only possible in this example because we have: *x* ≠ 3.

This is a typical problem in the study of introductory limits. It appears to be a bit silly, in that we could have factored it, cancelled and substituted `x = 3` like we just saw. But the example is important for the concept that there is no actual value of the function when `x = 3`, but if we get really, really close to `3`, the function value is really close to some value (`4`, in this case).

Continues below ⇩

## Limits as *x* Approaches 0

We must remember that we cannot divide by zero - it is undefined.

But there are some interesting, and important, limits where
there is a limiting value as *x* approaches `0` and where it would appear that we have a `0` denominator.

### Example 3

Find the limit as *x* approaches `0` of `(sin\ x)/x`

## Limits as *x* Approaches Infinity

### Example 4

Consider the fraction `5/x`. What happens as `x -> oo`?

## Limits when the variable is in the denominator

In general:

`lim_(x->+-oo)(1/(x))=0`

And similarly,

`lim_(x->+-oo)(1/(x^2))=0`

We use these limits when evaluating limits of functions and it is especially useful in curve sketching.

### Example 5

Find the limit `lim_(x->oo)((5-3x)/(6x+1)).`

### Example 6

Find `lim_(x->oo)((1-x^2)/(8x^2+5))`

### Joke

After explaining to a student about limits, I gave him the following example:

I tried to check whether he really understood that, so I gave him a different example.

His answer was:

## Continuity and Differentiation

In this chapter we will be differentiating polynomials. But later we will come across more complicated functions and at times, we cannot differentiate them. We need to understand the conditions under which a function can be differentiated.

Earlier we learned about Continuous and Discontinuous Functions.

A function like *f*(*x*) = *x*^{3} − 6*x*^{2} − *x* + 30 is continuous for all values of *x*, so it is differentiable for all values of *x*.

However, a function like `f(x)=2/(x^2-x)`** is not defined** for `x = 0` and `x = 1`.

It is discontinuous at those points. Hence, we cannot differentiate the function for those values.

## Split Functions and Differentiation

We met Split Functions before in the Functions and Graphs chapter.

A split function is differentiable for all *x* if it is continuous for all *x*.

### Example 7

We met this example in the earlier chapter.

`f(x)={(2x+3,text(for)\ x<1),(-x^2+2,text(for)\ x>=1):}`

This function has a discontinuity at *x* = 1, but it is actually defined for `x = 1` (and has value `1`). It is differentiable for all values of *x* except `x = 1`, since it is not continuous at `x = 1`.

### Continuous functions

All of our functions in the earlier chapters on differentiation and integration will be **continuous**. In later chapters, we will see discontinuous functions, especially split functions. (see Fourier Series and Laplace Transforms)

We now move on to see how limits are applied to the problem of finding the rate of change of a function from first principles. This is the same as finding the slope of a tangent.

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