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Notes · Further MathematicsUK · A-Levels

Further algebra and functions

This topic gathers three powerful algebraic techniques: the relationships between the roots of a polynomial and its coefficients, the summation of finite series using standard results and the method of differences, and the Maclaurin series expansion of a function. Together they let you extract information about roots without solving, sum unfamiliar series exactly, and approximate functions by polynomials with a stated range of validity.

5 sections·~13 min reading time·3 competencies·Level Standard 1 · Advanced 4

T·0444 / 13
Exam profile
AO1 · Apply standard series results and root-coefficient relationships accuratelyAO2 · Derive Maclaurin series and telescoping sums, justifying each stepAO3 · Combine techniques to sum unfamiliar series and to approximate functions
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basic level

AS Further Mathematics covers the roots of quadratics and cubics, the standard summation results and simple series.

higher level

The full A-Level adds quartics, transforming the roots of a polynomial, the method of differences, and Maclaurin series with their ranges of validity.

Depth

Reading depth: In depth

Text

Text size: Standard

Contents · 5 sections▾
  1. Further algebra and functions
    • 01Roots of polynomials and their coefficients●
    • 02Transforming the roots of a polynomial●
    • 03Summation of series: standard results◐
    • 04The method of differences●
    • 05Maclaurin series and approximation●
§ 01

Roots of polynomials and their coefficients#

●●●AdvancedLPAQA 7367 §3.4LPDfE Further Mathematics

A cubic and its three real roots

Function graph, y = (x−1)(x−2)(x−3) = x^3 - 6*x^2 + 11*x - 6, 3 marked pointsGraph of y = (x−1)(x−2)(x−3), roots at x = 1, 2, 3, maximum at (1.423, 0.385), minimum at (2.577, -0.385), on the interval x from 0.5 to 3.50.511.522.533.5−2−1.5−1−0.50.511.52α = 1β = 2γ = 3y = (x−1)(x−2)(x−3)yx
Fig. 1The cubic (x−1)(x−2)(x−3)(x-1)(x-2)(x-3)(x−1)(x−2)(x−3) has roots 1,2,31, 2, 31,2,3 whose sum 666 equals −b/a-b/a−b/a from the coefficients.

Key points

The roots of a polynomial are linked to its coefficients by simple symmetric relationships, so a great deal can be found out about the roots without ever solving the equation. For a quadratic ax2+bx+c=0ax^2 + bx + c = 0ax2+bx+c=0 with roots α,β\alpha, \betaα,β, comparing with a(x−α)(x−β)a(x-\alpha)(x-\beta)a(x−α)(x−β) gives α+β=−ba\alpha + \beta = -\dfrac{b}{a}α+β=−ab​ and αβ=ca\alpha\beta = \dfrac{c}{a}αβ=ac​. These are the first instances of the general pattern.
For a cubic ax3+bx2+cx+d=0ax^3 + bx^2 + cx + d = 0ax3+bx2+cx+d=0 with roots α,β,γ\alpha, \beta, \gammaα,β,γ, the relationships are ∑α=−ba\sum\alpha = -\dfrac{b}{a}∑α=−ab​, ∑αβ=ca\sum\alpha\beta = \dfrac{c}{a}∑αβ=ac​ and αβγ=−da\alpha\beta\gamma = -\dfrac{d}{a}αβγ=−ad​; and for a quartic there is one further relation, with the product of all four roots equal to +ea+\dfrac{e}{a}+ae​. The signs alternate, matching the coefficients of the expanded product a∏(x−αi)a\prod(x - \alpha_i)a∏(x−αi​). These are known as the relationships between roots and coefficients (Vieta's formulae).
The examinable skill is to compute symmetric functions of the roots from these building blocks. For example α2+β2=(α+β)2−2αβ\alpha^2 + \beta^2 = (\alpha+\beta)^2 - 2\alpha\betaα2+β2=(α+β)2−2αβ, and 1α+1β+1γ=∑βγαβγ\dfrac{1}{\alpha} + \dfrac{1}{\beta} + \dfrac{1}{\gamma} = \dfrac{\sum\beta\gamma}{\alpha\beta\gamma}α1​+β1​+γ1​=αβγ∑βγ​. Any expression that is symmetric in the roots can be rewritten in terms of the elementary symmetric functions ∑α\sum\alpha∑α, ∑αβ\sum\alpha\beta∑αβ and αβγ\alpha\beta\gammaαβγ, and hence in terms of the coefficients.
This gives a route to results that would be impossible by direct solution — a cubic with irrational or complex roots still has a rational sum of squares of its roots, computed cleanly from the coefficients. The technique also underpins the next section, where a polynomial whose roots are a transformation of the original roots is constructed by working with these symmetric functions or by direct substitution.
α+β+γ=−ba,αβ+βγ+γα=ca,αβγ=−da\alpha + \beta + \gamma = -\frac{b}{a}, \quad \alpha\beta + \beta\gamma + \gamma\alpha = \frac{c}{a}, \quad \alpha\beta\gamma = -\frac{d}{a}α+β+γ=−ab​,αβ+βγ+γα=ac​,αβγ=−ad​

Cubic: roots and coefficients

For ax3+bx2+cx+d=0ax^3+bx^2+cx+d=0ax3+bx2+cx+d=0; the signs alternate.

α2+β2+γ2=(α+β+γ)2−2(αβ+βγ+γα)\alpha^2 + \beta^2 + \gamma^2 = (\alpha+\beta+\gamma)^2 - 2(\alpha\beta+\beta\gamma+\gamma\alpha)α2+β2+γ2=(α+β+γ)2−2(αβ+βγ+γα)

A symmetric function

Rewrite any symmetric function in terms of the elementary ones.

Worked example

A symmetric function of the roots

The roots of x3+2x2−5x+1=0x^3 + 2x^2 - 5x + 1 = 0x3+2x2−5x+1=0 are α,β,γ\alpha, \beta, \gammaα,β,γ. Find α2+β2+γ2\alpha^2 + \beta^2 + \gamma^2α2+β2+γ2 and 1α+1β+1γ\dfrac{1}{\alpha} + \dfrac{1}{\beta} + \dfrac{1}{\gamma}α1​+β1​+γ1​.

  1. 01Read off the symmetric functions

    Here a=1a=1a=1, so ∑α=−2\sum\alpha = -2∑α=−2, ∑αβ=−5\sum\alpha\beta = -5∑αβ=−5 and αβγ=−1\alpha\beta\gamma = -1αβγ=−1.

  2. 02Sum of squares

    α2+β2+γ2=(∑α)2−2∑αβ=(−2)2−2(−5)=4+10=14\alpha^2+\beta^2+\gamma^2 = (\sum\alpha)^2 - 2\sum\alpha\beta = (-2)^2 - 2(-5) = 4 + 10 = 14α2+β2+γ2=(∑α)2−2∑αβ=(−2)2−2(−5)=4+10=14.

    α2+β2+γ2=4+10=14\alpha^2+\beta^2+\gamma^2 = 4 + 10 = 14α2+β2+γ2=4+10=14
  3. 03Sum of reciprocals

    1α+1β+1γ=βγ+γα+αβαβγ=−5−1=5\dfrac{1}{\alpha}+\dfrac{1}{\beta}+\dfrac{1}{\gamma} = \dfrac{\beta\gamma + \gamma\alpha + \alpha\beta}{\alpha\beta\gamma} = \dfrac{-5}{-1} = 5α1​+β1​+γ1​=αβγβγ+γα+αβ​=−1−5​=5.

Result: α2+β2+γ2=14\alpha^2+\beta^2+\gamma^2 = 14α2+β2+γ2=14 and 1α+1β+1γ=5\dfrac{1}{\alpha}+\dfrac{1}{\beta}+\dfrac{1}{\gamma} = 5α1​+β1​+γ1​=5.

Exam focus

  • Write down ∑α\sum\alpha∑α, ∑αβ\sum\alpha\beta∑αβ and αβγ\alpha\beta\gammaαβγ from the coefficients before attempting any symmetric-function calculation.
  • Express the required symmetric function in terms of these elementary ones (e.g. ∑α2=(∑α)2−2∑αβ\sum\alpha^2 = (\sum\alpha)^2 - 2\sum\alpha\beta∑α2=(∑α)2−2∑αβ) and substitute.

Typical mistakes

  • Getting the signs of the root-coefficient relationships wrong; remember the alternating −b/a,+c/a,−d/a-b/a, +c/a, -d/a−b/a,+c/a,−d/a pattern.
  • Trying to evaluate a symmetric function term by term instead of rewriting it in terms of the elementary symmetric functions.

Active revision

The cubic 2x3−3x2+4x−1=02x^3 - 3x^2 + 4x - 1 = 02x3−3x2+4x−1=0 has roots α,β,γ\alpha, \beta, \gammaα,β,γ. Find α+β+γ\alpha + \beta + \gammaα+β+γ, αβ+βγ+γα\alpha\beta + \beta\gamma + \gamma\alphaαβ+βγ+γα and α2+β2+γ2\alpha^2 + \beta^2 + \gamma^2α2+β2+γ2.

Active recall

Recall the key points — then reveal.

Sources: Further mathematics: AS and A level content (GCE subject content) (Department for Education)

§ 02

Transforming the roots of a polynomial#

●●●AdvancedLPAQA 7367 §3.4LPDfE Further Mathematics

Key points

Frequently a problem asks for a polynomial whose roots are a simple transformation of the roots of a given polynomial — for instance 2α,2β,2γ2\alpha, 2\beta, 2\gamma2α,2β,2γ, or α+1\alpha + 1α+1, or 1α\dfrac{1}{\alpha}α1​, or α2\alpha^2α2. There are two standard methods, and the substitution method is usually the quicker and less error-prone.
In the substitution method, if the new roots are y=g(x)y = g(x)y=g(x) where xxx is a root of the original polynomial, you invert to get x=g−1(y)x = g^{-1}(y)x=g−1(y) and substitute into the original equation. For roots doubled, y=2xy = 2xy=2x so x=y/2x = y/2x=y/2, and replacing every xxx by y/2y/2y/2 (then clearing fractions) gives the new polynomial. For roots increased by 111, y=x+1y = x + 1y=x+1 so x=y−1x = y - 1x=y−1; for reciprocal roots, y=1/xy = 1/xy=1/x so x=1/yx = 1/yx=1/y, and clearing the denominator produces a polynomial whose coefficients are those of the original in reverse order.
The alternative is to build the new polynomial from its own symmetric functions, computed from the old ones. If the new roots are α+1\alpha + 1α+1, etc., then their sum is ∑(α+1)=∑α+3\sum(\alpha+1) = \sum\alpha + 3∑(α+1)=∑α+3 (for a cubic), their pairwise-product sum is ∑(α+1)(β+1)\sum(\alpha+1)(\beta+1)∑(α+1)(β+1), and so on — each expanded and evaluated using the known elementary symmetric functions. This is more laborious but is a good check and is sometimes demanded explicitly.
A recurring special case is the reciprocal transformation: the equation whose roots are the reciprocals of the roots of axn+⋯+k=0ax^n + \dots + k = 0axn+⋯+k=0 is obtained by reversing the coefficients, kxn+⋯+a=0kx^n + \dots + a = 0kxn+⋯+a=0. Recognising such structural facts saves time. Whichever method is used, always check the transformed polynomial by verifying that its constant and leading coefficients are consistent with the transformed product and sum of the roots.
New roots y=g(x): substitute x=g−1(y) into the original equation\text{New roots } y = g(x): \ \text{substitute } x = g^{-1}(y) \text{ into the original equation}New roots y=g(x): substitute x=g−1(y) into the original equation

The substitution method

Invert the transformation and replace the variable, then clear fractions.

Worked example

Doubling the roots

The cubic x3−2x2+3x−5=0x^3 - 2x^2 + 3x - 5 = 0x3−2x2+3x−5=0 has roots α,β,γ\alpha, \beta, \gammaα,β,γ. Find a cubic with roots 2α,2β,2γ2\alpha, 2\beta, 2\gamma2α,2β,2γ.

  1. 01Set up the substitution

    Let y=2xy = 2xy=2x, so x=y2x = \dfrac{y}{2}x=2y​. Substitute into the original equation.

  2. 02Substitute

    (y2)3−2(y2)2+3(y2)−5=0\left(\dfrac{y}{2}\right)^3 - 2\left(\dfrac{y}{2}\right)^2 + 3\left(\dfrac{y}{2}\right) - 5 = 0(2y​)3−2(2y​)2+3(2y​)−5=0, i.e. y38−y22+3y2−5=0\dfrac{y^3}{8} - \dfrac{y^2}{2} + \dfrac{3y}{2} - 5 = 08y3​−2y2​+23y​−5=0.

  3. 03Clear fractions

    Multiply by 888: y3−4y2+12y−40=0y^3 - 4y^2 + 12y - 40 = 0y3−4y2+12y−40=0.

    y3−4y2+12y−40=0y^3 - 4y^2 + 12y - 40 = 0y3−4y2+12y−40=0
  4. 04Check

    New sum of roots =4=2×2=2∑α= 4 = 2\times 2 = 2\sum\alpha=4=2×2=2∑α; new product =40=23×5=8 αβγ= 40 = 2^3\times 5 = 8\,\alpha\beta\gamma=40=23×5=8αβγ. Both consistent.

Result: y3−4y2+12y−40=0y^3 - 4y^2 + 12y - 40 = 0y3−4y2+12y−40=0.

Exam focus

  • Prefer the substitution method: write yyy for the new root, solve for xxx, substitute into the original equation and clear fractions.
  • State the resulting polynomial in a tidy form (integer coefficients, leading coefficient positive) and, if asked, quote the new sum and product of roots as a check.

Typical mistakes

  • Substituting y=g(x)y = g(x)y=g(x) directly instead of x=g−1(y)x = g^{-1}(y)x=g−1(y) — you must replace the original variable.
  • Forgetting to clear fractions after a reciprocal or scaling substitution, leaving a non-polynomial expression.

Active revision

The equation x3−4x2+x+6=0x^3 - 4x^2 + x + 6 = 0x3−4x2+x+6=0 has roots α,β,γ\alpha, \beta, \gammaα,β,γ. Find a cubic equation with integer coefficients whose roots are 2α,2β,2γ2\alpha, 2\beta, 2\gamma2α,2β,2γ.

Active recall

Recall the key points — then reveal.

Sources: AQA A-level Further Mathematics 7367 specification (AQA)

§ 03

Summation of series: standard results#

●●○StandardLPAQA 7367 §3.4LPDfE Further Mathematics

Key points

The three standard results, proved by induction in the Proof topic, are the workhorses of series summation: ∑r=1nr=12n(n+1)\sum_{r=1}^{n} r = \tfrac{1}{2}n(n+1)∑r=1n​r=21​n(n+1), ∑r=1nr2=16n(n+1)(2n+1)\sum_{r=1}^{n} r^2 = \tfrac{1}{6}n(n+1)(2n+1)∑r=1n​r2=61​n(n+1)(2n+1) and ∑r=1nr3=14n2(n+1)2\sum_{r=1}^{n} r^3 = \tfrac{1}{4}n^2(n+1)^2∑r=1n​r3=41​n2(n+1)2. Committing these to memory (or being able to reproduce them quickly) is essential, since almost every summation question reduces to them.
Summation is linear: ∑(a f(r)+b g(r))=a∑f(r)+b∑g(r)\sum (a\,f(r) + b\,g(r)) = a\sum f(r) + b\sum g(r)∑(af(r)+bg(r))=a∑f(r)+b∑g(r), and ∑r=1nc=cn\sum_{r=1}^{n} c = cn∑r=1n​c=cn for a constant ccc. So any polynomial in rrr can be summed by splitting it into the standard pieces. For instance ∑r=1n(r2+3r)=∑r2+3∑r\sum_{r=1}^{n} (r^2 + 3r) = \sum r^2 + 3\sum r∑r=1n​(r2+3r)=∑r2+3∑r, each evaluated by its standard result and then combined and factorised.
A frequent extra step is summing between limits other than 111 and nnn. To evaluate ∑r=mnf(r)\sum_{r=m}^{n} f(r)∑r=mn​f(r), use ∑r=mn=∑r=1n−∑r=1m−1\sum_{r=m}^{n} = \sum_{r=1}^{n} - \sum_{r=1}^{m-1}∑r=mn​=∑r=1n​−∑r=1m−1​: compute the sum up to nnn and subtract the sum up to m−1m-1m−1. This avoids re-deriving anything and handles, for example, the sum of the squares from 111111 to 303030 in two standard evaluations.
The final answer is expected in a fully factorised form, and reaching it cleanly is a skill in itself: after adding the standard results over a common denominator, take out the largest common factor (typically nnn, (n+1)(n+1)(n+1) or 16\tfrac{1}{6}61​) before expanding any remaining bracket. A tidy factorised answer both earns the presentation marks and makes the result easy to check at small nnn.
∑r=1nr=12n(n+1),∑r=1nr2=16n(n+1)(2n+1),∑r=1nr3=14n2(n+1)2\sum_{r=1}^{n} r = \tfrac{1}{2}n(n+1), \quad \sum_{r=1}^{n} r^2 = \tfrac{1}{6}n(n+1)(2n+1), \quad \sum_{r=1}^{n} r^3 = \tfrac{1}{4}n^2(n+1)^2r=1∑n​r=21​n(n+1),r=1∑n​r2=61​n(n+1)(2n+1),r=1∑n​r3=41​n2(n+1)2

The three standard results

Proved by induction; used to sum any polynomial in rrr.

∑r=mnf(r)=∑r=1nf(r)−∑r=1m−1f(r)\sum_{r=m}^{n} f(r) = \sum_{r=1}^{n} f(r) - \sum_{r=1}^{m-1} f(r)r=m∑n​f(r)=r=1∑n​f(r)−r=1∑m−1​f(r)

Changing the lower limit

Subtract the sum up to m−1m-1m−1 from the sum up to nnn.

Worked example

Summing a polynomial in r

Show that ∑r=1nr(r+2)=16n(n+1)(2n+7)\displaystyle\sum_{r=1}^{n} r(r+2) = \tfrac{1}{6}n(n+1)(2n+7)r=1∑n​r(r+2)=61​n(n+1)(2n+7).

  1. 01Expand and split

    ∑r=1nr(r+2)=∑r=1n(r2+2r)=∑r2+2∑r\sum_{r=1}^{n} r(r+2) = \sum_{r=1}^{n} (r^2 + 2r) = \sum r^2 + 2\sum r∑r=1n​r(r+2)=∑r=1n​(r2+2r)=∑r2+2∑r.

  2. 02Insert the standard results

    =16n(n+1)(2n+1)+2⋅12n(n+1)=16n(n+1)(2n+1)+n(n+1)= \tfrac{1}{6}n(n+1)(2n+1) + 2\cdot\tfrac{1}{2}n(n+1) = \tfrac{1}{6}n(n+1)(2n+1) + n(n+1)=61​n(n+1)(2n+1)+2⋅21​n(n+1)=61​n(n+1)(2n+1)+n(n+1).

  3. 03Take out the common factor

    =16n(n+1)[(2n+1)+6]=16n(n+1)(2n+7)= \tfrac{1}{6}n(n+1)\big[(2n+1) + 6\big] = \tfrac{1}{6}n(n+1)(2n+7)=61​n(n+1)[(2n+1)+6]=61​n(n+1)(2n+7).

    ∑r=1nr(r+2)=16n(n+1)(2n+7)\sum_{r=1}^{n} r(r+2) = \tfrac{1}{6}n(n+1)(2n+7)r=1∑n​r(r+2)=61​n(n+1)(2n+7)
  4. 04Check

    At n=1n=1n=1: LHS =1⋅3=3=1\cdot 3 = 3=1⋅3=3; RHS =16(1)(2)(9)=3=\tfrac{1}{6}(1)(2)(9) = 3=61​(1)(2)(9)=3. Agrees.

Result: ∑r=1nr(r+2)=16n(n+1)(2n+7)\displaystyle\sum_{r=1}^{n} r(r+2) = \tfrac{1}{6}n(n+1)(2n+7)r=1∑n​r(r+2)=61​n(n+1)(2n+7).

Exam focus

  • Split the summand into standard pieces using linearity, evaluate each, then combine over a common denominator and factorise fully.
  • For a sum with a lower limit above 111, subtract ∑r=1m−1\sum_{r=1}^{m-1}∑r=1m−1​ from ∑r=1n\sum_{r=1}^{n}∑r=1n​ rather than re-deriving a formula.

Typical mistakes

  • Misremembering a standard result (a wrong 16\tfrac{1}{6}61​ or 2n+12n+12n+1) — check it against n=1n=1n=1 or n=2n=2n=2.
  • Forgetting that ∑r=1nc=cn\sum_{r=1}^{n} c = cn∑r=1n​c=cn, treating a constant term as if it summed to ccc.

Active revision

Find ∑r=1n(2r−1)2\displaystyle\sum_{r=1}^{n} (2r-1)^2r=1∑n​(2r−1)2 in fully factorised form, and hence evaluate ∑r=120(2r−1)2\sum_{r=1}^{20}(2r-1)^2∑r=120​(2r−1)2.

Active recall

Recall the key points — then reveal.

Sources: Further mathematics: AS and A level content (GCE subject content) (Department for Education)

§ 04

The method of differences#

●●●AdvancedLPAQA 7367 §3.4LPDfE Further Mathematics

Key points

The method of differences sums a series whose general term can be written as a difference of consecutive values of some function: if f(r)=g(r)−g(r+1)f(r) = g(r) - g(r+1)f(r)=g(r)−g(r+1), then the sum telescopes. Writing out the terms, almost everything cancels: ∑r=1n(g(r)−g(r+1))=g(1)−g(n+1)\sum_{r=1}^{n} \big(g(r) - g(r+1)\big) = g(1) - g(n+1)∑r=1n​(g(r)−g(r+1))=g(1)−g(n+1), because each −g(r+1)-g(r+1)−g(r+1) is cancelled by the +g(r+1)+g(r+1)+g(r+1) of the next term.
The central skill is to express the summand in this difference form, and for the rational summands that appear at A-Level the tool is partial fractions. For example 1r(r+1)=1r−1r+1\dfrac{1}{r(r+1)} = \dfrac{1}{r} - \dfrac{1}{r+1}r(r+1)1​=r1​−r+11​, which is exactly g(r)−g(r+1)g(r) - g(r+1)g(r)−g(r+1) with g(r)=1rg(r) = \dfrac{1}{r}g(r)=r1​; summing telescopes to 1−1n+11 - \dfrac{1}{n+1}1−n+11​. Recognising that a partial-fraction split produces a telescoping difference is the insight the method rests on.
Care is needed when the difference spans more than one step, for instance f(r)=g(r)−g(r+2)f(r) = g(r) - g(r+2)f(r)=g(r)−g(r+2), where the cancellation leaves the first two and the last two terms: ∑r=1n(g(r)−g(r+2))=g(1)+g(2)−g(n+1)−g(n+2)\sum_{r=1}^{n} \big(g(r)-g(r+2)\big) = g(1) + g(2) - g(n+1) - g(n+2)∑r=1n​(g(r)−g(r+2))=g(1)+g(2)−g(n+1)−g(n+2). Writing out the first few and last few terms explicitly, and lining up the cancellation, prevents the common error of dropping or keeping the wrong boundary terms.
The method of differences also delivers the sum to infinity when the series converges: letting n→∞n \to \inftyn→∞, any g(n+1)g(n+1)g(n+1) that tends to 000 simply drops out, so ∑r=1∞1r(r+1)=1\sum_{r=1}^{\infty} \dfrac{1}{r(r+1)} = 1∑r=1∞​r(r+1)1​=1. This connects finite summation to the idea of a convergent infinite series and previews the limiting arguments used in Further Calculus. It is also a reminder always to state the boundary terms that survive, since they carry the whole value of the sum.
∑r=1n(g(r)−g(r+1))=g(1)−g(n+1)\sum_{r=1}^{n} \big(g(r) - g(r+1)\big) = g(1) - g(n+1)r=1∑n​(g(r)−g(r+1))=g(1)−g(n+1)

Telescoping sum

Consecutive terms cancel, leaving only the first and last.

Worked example

A telescoping sum

Find ∑r=1n1r(r+1)\displaystyle\sum_{r=1}^{n} \frac{1}{r(r+1)}r=1∑n​r(r+1)1​ and deduce the sum to infinity.

  1. 01Partial fractions

    1r(r+1)=1r−1r+1\dfrac{1}{r(r+1)} = \dfrac{1}{r} - \dfrac{1}{r+1}r(r+1)1​=r1​−r+11​, which is g(r)−g(r+1)g(r) - g(r+1)g(r)−g(r+1) with g(r)=1rg(r) = \dfrac{1}{r}g(r)=r1​.

  2. 02Write out and cancel

    (11−12)+(12−13)+⋯+(1n−1n+1)\left(\tfrac{1}{1}-\tfrac{1}{2}\right) + \left(\tfrac{1}{2}-\tfrac{1}{3}\right) + \cdots + \left(\tfrac{1}{n}-\tfrac{1}{n+1}\right)(11​−21​)+(21​−31​)+⋯+(n1​−n+11​); all the interior terms cancel.

  3. 03Surviving terms

    ∑r=1n1r(r+1)=1−1n+1=nn+1\sum_{r=1}^{n} \dfrac{1}{r(r+1)} = 1 - \dfrac{1}{n+1} = \dfrac{n}{n+1}∑r=1n​r(r+1)1​=1−n+11​=n+1n​.

    ∑r=1n1r(r+1)=1−1n+1=nn+1\sum_{r=1}^{n} \frac{1}{r(r+1)} = 1 - \frac{1}{n+1} = \frac{n}{n+1}r=1∑n​r(r+1)1​=1−n+11​=n+1n​
  4. 04Sum to infinity

    As n→∞n\to\inftyn→∞, 1n+1→0\dfrac{1}{n+1}\to 0n+11​→0, so ∑r=1∞1r(r+1)=1\sum_{r=1}^{\infty} \dfrac{1}{r(r+1)} = 1∑r=1∞​r(r+1)1​=1.

Result: ∑r=1n1r(r+1)=nn+1\sum_{r=1}^{n} \dfrac{1}{r(r+1)} = \dfrac{n}{n+1}∑r=1n​r(r+1)1​=n+1n​; the sum to infinity is 111.

Exam focus

  • Split the summand into partial fractions and identify the telescoping difference; write out enough terms to show the cancellation.
  • State clearly which terms survive at each end, and, when asked, deduce the sum to infinity by letting n→∞n\to\inftyn→∞.

Typical mistakes

  • Cancelling terms carelessly and keeping or dropping the wrong boundary terms, especially when the difference spans two or more steps.
  • Forgetting to write the surviving terms as the final answer, or mis-stating the sum to infinity by not checking that the tail tends to zero.

Active revision

Using partial fractions and the method of differences, find ∑r=1n1r(r+1)\displaystyle\sum_{r=1}^{n} \frac{1}{r(r+1)}r=1∑n​r(r+1)1​ and hence state ∑r=1∞1r(r+1)\displaystyle\sum_{r=1}^{\infty} \frac{1}{r(r+1)}r=1∑∞​r(r+1)1​.

Active recall

Recall the key points — then reveal.

Sources: AQA A-level Further Mathematics 7367 specification (AQA)

§ 05

Maclaurin series and approximation#

●●●AdvancedLPAQA 7367 §3.4LPDfE Further Mathematics

Maclaurin approximations to e^x

Function graph, e^x = exp(x); 1+x = 1 + x; deg 2 = 1 + x + x^2/2; deg 3 = 1 + x + x^2/2 + x^3/6, 1 marked pointsGraph of e^x, y-intercept at y = 1, increasing, on the interval x from -2 to 2, Graph of 1+x, roots at x = -1, y-intercept at y = 1, increasing, on the interval x from -2 to 2, Graph of deg 2, minimum at (-1, 0.5), y-intercept at y = 1, on the interval x from -2 to 2, Graph of deg 3, roots at x = -1.596, y-intercept at y = 1, increasing, on the interval x from -2 to 2−2−1.5−1−0.50.511.522468agree at x = 0ex1+x° 2° 3yx
Fig. 2The degree-1, 2 and 3 Maclaurin polynomials hug ex\mathrm{e}^xex near x=0x=0x=0 and each captures more of the curve.

Key points

A Maclaurin series expresses a function as an infinite polynomial in xxx, built from the function's derivatives at 000: f(x)=f(0)+f′(0)x+f′′(0)2!x2+f′′′(0)3!x3+⋯f(x) = f(0) + f'(0)x + \dfrac{f''(0)}{2!}x^2 + \dfrac{f'''(0)}{3!}x^3 + \cdotsf(x)=f(0)+f′(0)x+2!f′′(0)​x2+3!f′′′(0)​x3+⋯. Provided the function and all its derivatives exist at 000 and the series converges, this matches the function near x=0x = 0x=0, and truncating after a few terms gives a polynomial approximation whose accuracy is best close to the origin and degrades further away.
Four standard expansions must be known: ex=1+x+x22!+x33!+⋯\mathrm{e}^x = 1 + x + \dfrac{x^2}{2!} + \dfrac{x^3}{3!} + \cdotsex=1+x+2!x2​+3!x3​+⋯ (valid for all xxx); sin⁡x=x−x33!+x55!−⋯\sin x = x - \dfrac{x^3}{3!} + \dfrac{x^5}{5!} - \cdotssinx=x−3!x3​+5!x5​−⋯ and cos⁡x=1−x22!+x44!−⋯\cos x = 1 - \dfrac{x^2}{2!} + \dfrac{x^4}{4!} - \cdotscosx=1−2!x2​+4!x4​−⋯ (valid for all xxx); and ln⁡(1+x)=x−x22+x33−⋯\ln(1+x) = x - \dfrac{x^2}{2} + \dfrac{x^3}{3} - \cdotsln(1+x)=x−2x2​+3x3​−⋯ (valid only for −1<x≤1-1 < x \leq 1−1<x≤1). The binomial series (1+x)n=1+nx+n(n−1)2!x2+⋯(1+x)^n = 1 + nx + \dfrac{n(n-1)}{2!}x^2 + \cdots(1+x)n=1+nx+2!n(n−1)​x2+⋯ (valid for ∣x∣<1|x| < 1∣x∣<1 when nnn is not a non-negative integer) completes the set.
Series for related functions are usually obtained not by differentiating repeatedly but by combining or substituting into the standard results. For example the series for e2x\mathrm{e}^{2x}e2x comes from replacing xxx by 2x2x2x in the ex\mathrm{e}^xex series, and the series for exsin⁡x\mathrm{e}^x\sin xexsinx from multiplying two known series and collecting terms up to the required power. This is faster and less error-prone than computing high-order derivatives.
The range of validity is not an afterthought: a Maclaurin series equals its function only where the series converges. For ex\mathrm{e}^xex, sin⁡x\sin xsinx and cos⁡x\cos xcosx this is everywhere, but for ln⁡(1+x)\ln(1+x)ln(1+x) and the binomial series it is a bounded interval, and using the series outside that interval gives nonsense. The figure of ln⁡(1+x)\ln(1+x)ln(1+x) against its cubic approximation shows the polynomial hugging the curve near 000 and peeling away beyond x=1x = 1x=1, a vivid reminder to quote the interval of validity whenever a non-entire series is used.
f(x)=f(0)+f′(0) x+f′′(0)2!x2+f′′′(0)3!x3+⋯f(x) = f(0) + f'(0)\,x + \frac{f''(0)}{2!}x^2 + \frac{f'''(0)}{3!}x^3 + \cdotsf(x)=f(0)+f′(0)x+2!f′′(0)​x2+3!f′′′(0)​x3+⋯

Maclaurin series

The coefficients are the derivatives of fff at 000 divided by factorials.

ex=∑r=0∞xrr!,ln⁡(1+x)=∑r=1∞(−1)r+1xrr  (−1<x≤1)\mathrm{e}^x = \sum_{r=0}^{\infty} \frac{x^r}{r!}, \qquad \ln(1+x) = \sum_{r=1}^{\infty} \frac{(-1)^{r+1}x^r}{r} \ \ (-1 < x \leq 1)ex=r=0∑∞​r!xr​,ln(1+x)=r=1∑∞​r(−1)r+1xr​  (−1<x≤1)

Two standard series

ex\mathrm{e}^xex converges for all xxx; the logarithm series only on (−1,1](-1,1](−1,1].

Range of validity of the ln(1+x) series

Function graph, ln(1+x) = ln(1 + x); deg 3 series = x - x^2/2 + x^3/3Graph of ln(1+x), roots at x = 0, y-intercept at y = 0, increasing, on the interval x from -0.9 to 2.2, Graph of deg 3 series, roots at x = 0, y-intercept at y = 0, increasing, on the interval x from -0.9 to 2.2−0.50.511.52−3−2−112x = 1ln(1+x)° 3 seriesyx
Fig. 3The cubic approximation matches ln⁡(1+x)\ln(1+x)ln(1+x) for ∣x∣<1|x|<1∣x∣<1 but diverges beyond x=1x=1x=1, the edge of the interval of validity.
Worked example

A series by substitution

Find the Maclaurin series of ln⁡(1+2x)\ln(1+2x)ln(1+2x) up to the term in x3x^3x3, state the range of validity and estimate ln⁡1.2\ln 1.2ln1.2.

  1. 01Substitute into the standard series

    Replace xxx by 2x2x2x in ln⁡(1+x)=x−x22+x33−⋯\ln(1+x) = x - \tfrac{x^2}{2} + \tfrac{x^3}{3} - \cdotsln(1+x)=x−2x2​+3x3​−⋯: ln⁡(1+2x)=2x−(2x)22+(2x)33−⋯\ln(1+2x) = 2x - \tfrac{(2x)^2}{2} + \tfrac{(2x)^3}{3} - \cdotsln(1+2x)=2x−2(2x)2​+3(2x)3​−⋯.

  2. 02Simplify

    =2x−2x2+83x3−⋯= 2x - 2x^2 + \tfrac{8}{3}x^3 - \cdots=2x−2x2+38​x3−⋯.

    ln⁡(1+2x)=2x−2x2+83x3−⋯\ln(1+2x) = 2x - 2x^2 + \tfrac{8}{3}x^3 - \cdotsln(1+2x)=2x−2x2+38​x3−⋯
  3. 03Range of validity

    Valid when −1<2x≤1-1 < 2x \leq 1−1<2x≤1, i.e. −12<x≤12-\tfrac12 < x \leq \tfrac12−21​<x≤21​.

  4. 04Estimate ln 1.2

    ln⁡1.2=ln⁡(1+2(0.1))\ln 1.2 = \ln(1 + 2(0.1))ln1.2=ln(1+2(0.1)), so put x=0.1x = 0.1x=0.1: 2(0.1)−2(0.1)2+83(0.1)3=0.2−0.02+0.002667≈0.182672(0.1) - 2(0.1)^2 + \tfrac{8}{3}(0.1)^3 = 0.2 - 0.02 + 0.002667 \approx 0.182672(0.1)−2(0.1)2+38​(0.1)3=0.2−0.02+0.002667≈0.18267 (true value 0.182320.182320.18232).

Result: ln⁡(1+2x)=2x−2x2+83x3−⋯\ln(1+2x) = 2x - 2x^2 + \tfrac{8}{3}x^3 - \cdotsln(1+2x)=2x−2x2+38​x3−⋯ for −12<x≤12-\tfrac12 < x \leq \tfrac12−21​<x≤21​; ln⁡1.2≈0.1827\ln 1.2 \approx 0.1827ln1.2≈0.1827.

Exam focus

  • Quote the four standard series accurately, with their ranges of validity, and obtain new series by substitution or multiplication rather than repeated differentiation where possible.
  • State the range of validity whenever it is bounded, and use a truncated series to estimate a value, commenting that the approximation is best near x=0x=0x=0.

Typical mistakes

  • Using the ln⁡(1+x)\ln(1+x)ln(1+x) or binomial series outside its interval of convergence, where it no longer represents the function.
  • Dropping factorials in the denominators, or making a sign slip in the alternating sin⁡/cos⁡/ln⁡\sin/\cos/\lnsin/cos/ln series.

Active revision

Find the Maclaurin series of ln⁡(1+2x)\ln(1+2x)ln(1+2x) up to and including the term in x3x^3x3, state its range of validity, and use it to estimate ln⁡1.2\ln 1.2ln1.2.

Active recall

Recall the key points — then reveal.

Sources: Further mathematics: AS and A level content (GCE subject content) (Department for Education)

Contents

Section -- / 05

    • 01Roots of polynomials and their coefficients●
    • 02Transforming the roots of a polynomial●
    • 03Summation of series: standard results◐
    • 04The method of differences●
    • 05Maclaurin series and approximation●

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References & sources

Sources

Department for Education

  • Further mathematics: AS and A level content (GCE subject content)

AQA

  • AQA A-level Further Mathematics 7367 specification

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