Posted by: Gary Ernest Davis on: May 3, 2011

Text books and test setters regularly mark students wrong if they give an answer of  to a problem.
A student is supposed to know, as part of mathematical convention, that  should be rationalized to 
.
This issue has been discussed before by @suburbanlion at SuburbanLion’s Blog and @jamestanton at Rationalising the Denominator, among others.
Marking a student wrong for not carrying out a rationalization like this is just BS (and I don’t mean “Bachelor of Science”).
And there is no such mathematical convention – it’s made up by people who write text books and set tests.
This issue came up again recently in #mathchat when @davidwees wrote: “I tell my students that people used to rationalize denominators b/c it made calculations easier” and “1.414…/2 is much easier to do than 1/1.414… without a calculator.”
My issue with what David wrote (and indeed with part of what James Tanton says in his video) is how, without a calculator, do we know that ?
Of course if someone told us that  and we figured that 
 then we could probably be adept enough to calculate 
 by hand.
Numbers of the form  where 
 are rational numbers (fractions) collectively have a remarkable structural property:
not only can we add, subtract and multiply such numbers and still get numbers of the same form (e.g. ), we can also divide such numbers and still get a number of the same form:
e.g. 
Collectively, numbers of the form  constitute a mathematical field, denoted by 
 – a structure in which addition, subtraction, multiplication and division (by non-zero numbers) is always possible.
From this perspective, rationalizing  is just expressing the fact that the reciprocal of 
 is again in the field 
.
There are technical senses in which the continued fraction of a real number gives the “best” rational approximation to that number.
So how do we find the continued fraction for ?
We are looking for an (infinite) expression of the form :
where the  are whole numbers.
Because the piece  after 
 is less than 1, we see that 
 is the largest integer less than 
, which is 1 (we know 
 because 
).
This leaves  so taking reciprocals we see that 
.
This means that  is the largest integer less than 
.
In other words, , which means that 
.
We know  because 
, so 
.
Continuing in this vein gets trickier, because next we have to find the largest integer less than .
Because  satisfies a quadratic equation we can use a cute trick to find the continued fraction for 
.
Let’s write  so that 
.
Dividing by  gives:
Taking this to a limit we get .
Since  we get 
.
By successively terminating this continued fraction we get the following rational approximations to .
This immediately gives us the following rational approximations to .
Isaac Newton’s method for finding roots of functions, applied to the polynomial  leads directly to a method for approximating 
 known to the Babylonians.
Using this method we start with an approximation  – let’s start with 
 because its the first approximation from the continued fraction for 
: it’s the integer part of 
.
We then average  to get the next approximation 
.
We generate a sequence of rational number approximations  to 
 where. at each step, 
.
This gives us the following rational number approximations to .
So now we know how to approximate  by rational numbers, we can use the rationalization 
 to get rational approximations to 
, but you see the absurdity – why bother? Just invert the rational approximations to 
.
How about the decimal expansion of  – where does that come from?
Decimal approximations to  are usually obtained from the rational approximation from the continued fraction, of from the more rapidly convergent Newton’s (= Babylonian) method.
The record at the time of writing this post is is 1,000,000,000,000 decimal places due to S. Kondo & A.J. Yee in 2010.
The empirical evidence is that  is normal in base 10, meaning that, to date, each of the digits appears with proprtion 
, each pair of digits with proportion 
, each triple of digits with proportion 
 and so on.
However no one yet has a proof of this.
Posted by: Gary Ernest Davis on: May 2, 2011
Many people – including some of my colleagues – like to argue that mathematics is an art, not a science, and that even if it is a science then it’s not like physics, chemistry or biology because it’s a deductive, not an empirical, science.
In the five videos below Doron Zeilberger argues a contrary point of view.