A few weeks ago I wrote several blog posts about very simple approximations that are surprisingly accurate. These approximations are valid over a limited range, but with range reduction they can be used over the full range of the functions.
In this post I want to look again at
It turns out that the approximations above are both Padé approximants , rational functions that match the first few terms of the power series of the function being approximated.
“First few” means up to degree m + n where m is the degree of the numerator and n is the degree of the denominator. In our examples, m = n = 1, and so the series terms up to order 2 match.
The approximations I wrote about before were derived by solving for a constant that made the approximation error vanish at the ends of the interval of interest. Note that there’s no interval in the definition of a Padé approximant.
Also, the constants that I derived were rounded in order to have something easy to compute mentally. The approximation for log, for example, works out to have a factor of 2.0413, but I rounded it to 2 for convenience.
And yet the end result is exactly was exactly a Padé approximant.
First let’s look at the exponential function. We can see that the series for our approximation and for exp match up to x².
The error in the Padé approximation for exp is less than the error in the 2nd order power series approximation for all x less than around 0.78.
Here again we see that our function and our approximation have series that agree up to the x² terms.
The error in the Padé approximation for log is less than the error in the 2nd order power series approximation for all x
 The other approximations I presented in that series are not Padé approximations.
2 thoughts on “More on why simple approximations work”
I am Dr. Mert Gülüm from Karadeniz Technical University, Mechanical Engineering Department.
I want to find the Pade Approximation of the following equation:
For this, Is there a method or program you would recommend?
I usually use Mathematica for rational approximations.