Library / Foundations: Maths / FMA-20
Foundations: Maths
Binomial expansion (first three terms)
Approximate (1 + x)ᵏ for small x.
- Ref
- FMA-20
- Rev
- v1
- Field
- Foundations: Maths
- Result
- (1+x)ᵏ
For non-integer k the series holds for |x| < 1. For a non-negative integer k it terminates and holds for every x. The calculator uses the first three terms.
For small x, a power of 1 + x is well approximated by the first few terms of its binomial series.
Calculator
- Exact (1 + x)ᵏ1.049
- Error of approximation−0.005611 %
What drives the result
Each variable is moved across its typical range while the others stay at the values above. The longest bar is the key driver.
- Square roots, reciprocals and small fractional changes can be approximated without a calculator.
- Keeping only the first two terms gives the common linear approximation (1+x)ᵏ ≈ 1 + kx.
Chart data as tables
Ranked variables
| Variable | Typical range | Lowest result | Highest result | Swing () | Local step | Change in result |
|---|---|---|---|---|---|---|
| k Power k | 0.5 to 3 | 1.049 | 1.33 | 0.2813 | +undefined% | — |
| x Small quantity x | 0.01 to 0.5 | 1.005 | 1.219 | 0.2138 | +undefined% | — |
Sweep of Small quantity x
| Small quantity x | Approximation |
|---|---|
| 0.01 | 1.005 |
| 0.07125 | 1.035 |
| 0.1325 | 1.064 |
| 0.1938 | 1.092 |
| 0.255 | 1.119 |
| 0.3163 | 1.146 |
| 0.3775 | 1.171 |
| 0.4387 | 1.195 |
| 0.5 | 1.219 |
Sweep one variable
Variables and how each one contributes
Approximation
What the equation gives you. Everything else feeds it.
Power k
Index of the bracket. Larger k magnifies the effect of x.
Small quantity x
The small term; the series needs |x| below 1. The approximation improves as x gets smaller.
Worked example with the values above
- Linear term: kx = 0.5 × 0.1 = 0.05.
- Quadratic term: k(k−1)x²/2 = −0.00125.
- (1+x)k ≈ 1 + 0.05 + −0.00125 = 1.04875.
Assumptions and limits
- |x| is less than 1 for non-integer k.
- Only three terms are kept.
Common mistakes
- Using x ≥ 1 for non-integer k.
- Forgetting the factor ½ in the third term.
Statistics and uncertainty
The truncation error is about the size of the first omitted term, of order x³; halving x reduces the error roughly eightfold.
Where it is used
- Small-change estimates in engineering formulas.
- Linearising relationships near an operating point.
Maths you need
- Powers: fractional and negative indices
- Factorials: binomial coefficients