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