Academy
Remainders
Level 1 - Math I (Physics) topic page in Power Series.
Principle
A remainder measures the error made when an infinite series or a function is replaced by a finite approximation. It answers the practical question: how much could the omitted terms matter?
Remainders are essential in numerical physics. They tell whether a truncated expansion is accurate enough for a calculation or experiment.
Notation
The best remainder estimate depends on the type of series. Taylor's theorem, alternating-series estimates, and geometric tails are common Level 1 tools.
Method
Step 1: Identify the approximation
Decide what is being kept and what is being omitted. For a Taylor polynomial, the omitted part starts at degree \(N+1\).
Step 2: Choose an error estimate
For Taylor polynomials with bounded higher derivative, use a Lagrange-style bound. For a geometric tail, use the exact tail formula. For alternating decreasing terms, the next term bounds the error.
Step 3: Compare with tolerance
If an error tolerance \(\epsilon\) is required, solve an inequality such as
Rules
The alternating estimate requires terms that decrease in size to zero and alternate in sign.
Examples
Checks
- State what has been kept before estimating what has been omitted.
- A remainder is an error term, not another approximation by itself.
- Geometric and alternating estimates have conditions; check them first.
- In physics calculations, compare the remainder with the scale of the measured quantity.