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# 17.1 The Antidifferentiation Problem

17.1   Definition ( or .) I am going to use the notation or to denote some arbitrary antiderivative for on an interval that often will not be specified. This is the same notation that I used previously to denote an indefinite integral for . Although the fundamental theorem of the calculus shows that for nice functions the concepts of antiderivative'' and indefinite integral'' are essentially the same, for arbitrary functions the two concepts do not coincide. For example, let

Then has an indefinite integral where

Thus . Then is not an antiderivative for , since we know that is not differentiable at 0.

I will always try to make it clear whether represents an antiderivative or an indefinite integral in cases where it makes a difference.

The problem of calculating derivatives is straightforward. By using known formulas and rules, you can easily find the derivative of almost any function you can write down. The problem of calculating antiderivatives is much more complicated. In fact, none of the five functions

 (17.2)

have antiderivatives that can be expressed in terms of functions we have studied. (To find a proof of this assertion, see [40, page 37 ff] and [41].) The first two functions in this list are compositions of functions that have simple antiderivatives, the third function is the reciprocal of a function with a simple antiderivative, and each of the last two functions is a product of two functions with simple antiderivatives. (An antiderivative for will be calculated in (17.25).) It follows that there is no chain rule or reciprocal rule or product rule for calculating antiderivatives. We will see, however, that the chain rule and the product rule for differentiation do give rise to antidifferentiation formulas.

The five functions

 (17.3)

which look somewhat similar to the functions in (17.2), turn out to have simple antiderivatives, as you will see in (17.42c), (17.22), (17.7), (17.31f), and (17.41). It is often not easy to tell the difference between a function that has a simple antiderivative and a function that does not.

Many simple functions that arise in applied problems do not have simple antiderivatives. The exercises in this chapter have been carefully designed to be non-typical functions whose antiderivatives can be found.

The Maple instructions for finding antiderivatives and integrals are

and

I gave the five functions in (17.2) to Maple to antidifferentiate.

The results were:

> int( exp(x^2),x);

> int( ln(ln(x)),x);

> int(1/ln(x),x);

> int(sin(x)/x,x);

> int( ((1-x)^(3/5))/ (x^(12/5)),x);

In the first four cases, an answer has been given involving names of functions we have not seen before, (and which we will not see again in this course). The definitions of these functions are:

 (17.4) (17.5) (17.6)

In equation (17.4), we assume that when . The function Si is called the sine integral. In equation (17.5), Ei makes sense only when is positive. The definition of Ei for involves ideas we have not discussed. The function Ei is called the exponential integral.

The function erf is called the error function. The answer given by Maple for involves the symbol . This is Maple's notation for . The definition of erf makes no sense in terms of concepts we have studied. However you can use Maple to calculate integrals even if you do not know what the symbols mean. The following instructions find :

> int( exp(x^2),x= 0..1);

> evalf(%);

Next: 17.2 Basic Formulas Up: 17. Antidifferentiation Techniques Previous: 17. Antidifferentiation Techniques   Index
Ray Mayer 2007-09-07