Binomial approximation

Summary


The binomial approximation is useful for approximately calculating powers of sums of 1 and a small number x. It states that

It is valid when and where and may be real or complex numbers.

The benefit of this approximation is that is converted from an exponent to a multiplicative factor. This can greatly simplify mathematical expressions (as in the example below) and is a common tool in physics.[1]

The approximation can be proven several ways, and is closely related to the binomial theorem. By Bernoulli's inequality, the left-hand side of the approximation is greater than or equal to the right-hand side whenever and .

Derivations edit

Using linear approximation edit

The function

 

is a smooth function for x near 0. Thus, standard linear approximation tools from calculus apply: one has

 

and so

 

Thus

 

By Taylor's theorem, the error in this approximation is equal to   for some value of   that lies between 0 and x. For example, if   and  , the error is at most  . In little o notation, one can say that the error is  , meaning that  .

Using Taylor series edit

The function

 

where   and   may be real or complex can be expressed as a Taylor series about the point zero.

 

If   and  , then the terms in the series become progressively smaller and it can be truncated to

 

This result from the binomial approximation can always be improved by keeping additional terms from the Taylor series above. This is especially important when   starts to approach one, or when evaluating a more complex expression where the first two terms in the Taylor series cancel (see example).

Sometimes it is wrongly claimed that   is a sufficient condition for the binomial approximation. A simple counterexample is to let   and  . In this case   but the binomial approximation yields  . For small   but large  , a better approximation is:

 

Example edit

The binomial approximation for the square root,  , can be applied for the following expression,

 

where   and   are real but  .

The mathematical form for the binomial approximation can be recovered by factoring out the large term   and recalling that a square root is the same as a power of one half.

 

Evidently the expression is linear in   when   which is otherwise not obvious from the original expression.

Generalization edit

While the binomial approximation is linear, it can be generalized to keep the quadratic term in the Taylor series:

 

Applied to the square root, it results in:

 

Quadratic example edit

Consider the expression:

 

where   and  . If only the linear term from the binomial approximation is kept   then the expression unhelpfully simplifies to zero

 

While the expression is small, it is not exactly zero. So now, keeping the quadratic term:

 

This result is quadratic in   which is why it did not appear when only the linear terms in   were kept.

References edit

  1. ^ For example calculating the multipole expansion. Griffiths, D. (1999). Introduction to Electrodynamics (Third ed.). Pearson Education, Inc. pp. 146–148.