This note collects the explicit derivations of the three Maclaurin series that appear most frequently in quantitative finance: , (and ), and the binomial series for real . The derivations follow directly from the Taylor coefficient formula, but working through each one carefully builds the muscle memory that makes these series usable: knowing not just the result but how to re-derive it, when it converges, and how to bound the error. Taylor's Inequality is the quantitative tool for the error — it converts "the Taylor series converges to " from a qualitative statement into a computable guarantee.
Learning objectives. By the end of this note you should be able to:
- derive the Maclaurin series for , , , and from the Taylor formula;
- state Taylor's Inequality and apply it to show that ;
- use the Remainder Theorem to determine how many terms are needed for a given accuracy.
In this lesson
- Derivation:
- Derivation: and
- Derivation: The binomial series
- Taylor's Inequality in practice
Before you start
The full lesson, with worked examples and exercise solutions, is for members.
Read the full lessonNew to SelfMadeQuant.com? See membership options or explore the curriculum.