How do we derive a Maclaurin series, including by repeated implicit differentiation, and use it for limits and approximations?
Derive Maclaurin series including by repeated implicit differentiation and use series to evaluate limits and approximations
A focused answer to the H2 Further Mathematics outcome on Maclaurin series. The general formula, deriving series by repeated and implicit differentiation, combining standard expansions, and using series to evaluate limits and small-value approximations.
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What this dot point is asking
SEAB wants you to derive Maclaurin series, including the harder case where the function is given implicitly and you must differentiate the defining equation repeatedly, and to use series for two applications: evaluating limits of the indeterminate type and approximating function values. At Further level the emphasis is on the implicit-differentiation derivation and on series as a tool for limits.
The answer
The Maclaurin formula
The Maclaurin series expands a function as a power series about :
Deriving a series by repeated differentiation
When derivatives are easy, differentiate repeatedly, evaluate each derivative at , and substitute. For a function defined implicitly (for example ), it is usually neater to clear the denominator to get a relation such as , then differentiate that relation repeatedly with the product rule, evaluating at at each stage to generate in turn.
The standard series
The expansions to know:
Combining series
Build new series by substitution (for example ), multiplication, or term-by-term differentiation and integration. This is faster than repeated differentiation when a standard series applies.
Series for limits
A limit of the form as is found by replacing numerator and denominator with their series and cancelling the lowest powers of . The surviving constant term is the limit. This is a clean alternative to repeated L'Hopital differentiation.
Examples in context
Example 1. Replacing L'Hopital's rule. A limit like is read straight off the series , giving in one line where repeated differentiation would be slower.
Example 2. Linearising for physics. Approximating for small , or , is exactly the small-oscillation approximation used to linearise pendulum and circuit equations before solving them.
Try this
Q1. Write the Maclaurin series of up to the term in . [1 mark]
- Cue. .
Q2. Use series to evaluate . [2 marks]
- Cue. , so the ratio tends to .
Q3. If , give the first three terms of its Maclaurin series. [2 marks]
- Cue. Binomial with : .
Exam-style practice questions
Practice questions written in the style of SEAB exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.
Original7 marksGiven that , show that , and hence find the Maclaurin series of up to and including the term in .Show worked answer →
Differentiate: .
It is cleaner to multiply through: . Differentiate again (product rule on the left):
Differentiate once more:
Now evaluate at : ; ; from the second equation ; from the third .
Maclaurin:
Markers reward the first derivative, repeated implicit differentiation, the values of the derivatives at , and the correct series with factorials.
Original4 marksUse Maclaurin series to evaluate .Show worked answer →
Use the standard expansion . Then
Divide by :
As the remaining terms vanish, so the limit is .
Markers reward substituting the series for , the leading non-zero term , dividing by , and the limit .
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