Maclaurin series and approximation
Learn one idea at a time
Choose a unit. Each has worked examples and practice.
Derive coefficients and check validity
Separate existence of derivatives from equality with an infinite series.
Build the standard series
Derive logarithm, exponential and trigonometric expansions and compare partial sums.
Choose a binomial expansion
Normalise the expression and distinguish finite and infinite expansions.
Combine series and estimate
Intersect validity intervals and choose a valid substitution for numerical estimates.
Recover a series from a relation
Find coefficients through a differential relation and verify them independently.
Track orders and small angles
Use exact identities before truncating, dividing or cancelling.
By the end, you can
- Build expansions from derivatives at zero
- Substitute and combine standard series
- State convergence and the order of an approximation
6 focused units · about an hour for the full chapter. Allow extra time for practice.
The central idea
A Maclaurin expansion matches a function near zero with . Standard examples include , sine, cosine, and the binomial expansion. A polynomial truncation is an approximation; the infinite expansion also has a convergence domain.
Why coefficients contain factorials
Suppose f has a power-series representation near zero that can be differentiated term by term. From , substitution at zero after successive derivatives gives , , and . In general , so .
This is the Maclaurin series listed in MF27. The derivation assumes a valid power-series representation; having derivatives of all orders alone does not guarantee equality to the series. State an applicable interval.
Calculate a function using elementary arithmetic
The source asks how could be calculated without a computer or calculator. A suitable polynomial approximation reduces evaluation to addition, subtraction, multiplication and division. Its displayed value is (radians). The source uses this calculation to motivate replacing a difficult function evaluation with elementary arithmetic.
The chapter outline names standard expansions of for rational n, , sine, cosine and ; derivation by repeated differentiation (such as ), repeated implicit differentiation (such as ), and combining standard series (such as and ). It also names convergence intervals, approximation and the small-angle forms , , .
The Student copy is incorporated through printed page 92 and the Teacher through printed page 91, including the standard derivations, Examples 1–11 and Self-Practice 1–4. Further techniques remain pending.
Worked example
. The quadratic approximation at x=0.1 is . The omitted terms begin at order x³.
An expansion valid near zero does not automatically justify approximation at a large input.
Check your understanding
For small nonzero x, obtain the expansion of through the term in . Explain how many terms of the numerator you need, use the result to estimate the quotient at , and distinguish the original domain from the limit at zero.
After division by , a fourth-degree numerator term becomes quadratic. Retain
For , the quotient is . At the quadratic estimate is 4.98375. This is a truncation estimate, without an asserted error tolerance. The exponential series converges for every real x, but the original quotient excludes zero because its denominator vanishes there. Its limit at zero is ; a continuous extension could assign that value, but the displayed quotient itself is undefined there.
Practice questions
39 examples and practice questions, in 7 sections.
More practice
State the substituted convergence conditions and requested final order before expanding. Separate an exact identity, a convergent series representation, a finite approximation and any claim about accuracy.
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