Notes/Mathematics/Paper 1/Differentiation
CAIEAS Level9709§1.7

Differentiation

How to find the gradient of a curve at any point with the power rule and the chain rule, and how to use it for tangents, normals, stationary points, largest and smallest values, and rates of change.

130 min read 8 sub-topics
145
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2021–2025 · 37 papers
13 marks
per paper
≈ 17% of the paper
2.3/3
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#3
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of 8 topics by marks

From Coordinate Geometry you can find the gradient of a straight line from two points on it. A curve is steep in some places and flat in others, and differentiation gives its gradient at any single point you choose.

The note starts with what that gradient means and the two rules that produce it: the power rule and the chain rule. Then it puts them to work: tangents and normals, where a curve is increasing or decreasing, stationary points and sketching, largest and smallest values in real situations, connected rates of change, and working back from a derivative to the curve.

Before you start you should be able to
  • Laws of indices, including 1x2=x−2\dfrac{1}{x^2} = x^{-2} and x=x1/2\sqrt{x} = x^{1/2}

  • Expanding brackets, and simplifying x3+2xx\dfrac{x^3+2x}{x} into separate terms

  • Gradients, the equation of a line, and m1m2=−1m_1m_2 = -1 for perpendicular lines (see Coordinate Geometry)

  • Solving quadratic equations, quadratic inequalities and the discriminant

  • Translations and reflections of graphs (see Functions)

  • Standard mensuration: A=πr2A = \pi r^2, V=πr2hV = \pi r^2 h, the volume of a cuboid, and the sector formulae from Circular Measure

By the end of this page you can
  • Explain the gradient of a curve as the limit of chord gradients, work a chord gradient in terms of hh, and use f′(x)\mathrm{f}'(x), dydx\dfrac{\mathrm{d}y}{\mathrm{d}x}, f′′(x)\mathrm{f}''(x), d2ydx2\dfrac{\mathrm{d}^2y}{\mathrm{d}x^2}

  • Differentiate xnx^n for any rational nn, together with sums, differences and constant multiples

  • Use the chain rule on composite functions, including a non-linear inside such as (2x2−5)−1\left(2x^2-5\right)^{-1} and 2x3+10\sqrt{2x^3+10}

  • Find the equations of the tangent and the normal at a point, in any requested form

  • Work backwards from a given gradient to the point that has it, including "y=mx+ky = mx+k is a tangent", and use the discriminant when the tangent's gradient is unknown

  • Find the set of values for which a function is increasing or decreasing, and argue the "increasing, decreasing or neither" case from the sign of f′(x)\mathrm{f}'(x)

  • Locate stationary points and determine their nature with the second derivative

  • Use stationary points to sketch a curve, to find a range, and to track a curve through a translation or reflection

  • Find unknown constants in a curve's equation from a given stationary point

  • Build a function from a described situation and maximise or minimise it using a constraint

  • Solve connected rates-of-change problems with dAdt=dAdr×drdt\dfrac{\mathrm{d}A}{\mathrm{d}t} = \dfrac{\mathrm{d}A}{\mathrm{d}r} \times \dfrac{\mathrm{d}r}{\mathrm{d}t}, in either direction

  • Reverse the power rule to recover a curve from dydx\dfrac{\mathrm{d}y}{\mathrm{d}x} or d2ydx2\dfrac{\mathrm{d}^2y}{\mathrm{d}x^2}, fixing each constant from a given condition

01

What the derivative is

Syllabus requirement · §1.7.1

“

understand the gradient of a curve at a point as the limit of the gradients of a suitable sequence of chords, and use the notations f′(x), f″(x), dy/dx and d²y/dx² for first and second derivatives

”

The problem this solves

A straight line has one gradient, and you find it from any two points on it:

m=y2−y1x2−x1m = \frac{y_2 - y_1}{x_2 - x_1}

That formula needs two points. A curve does not have one gradient — it is steep in places and flat in others — so "the gradient of the curve at the single point PP" is not yet a thing you can compute. There is only one point, and the formula wants two.

Differentiation is the fix. The idea is to take the two-point formula, which you already trust, and squeeze the two points together until they are (almost) the same point.

Chords, and sliding one end in

Pick your point PP on the curve. Pick a second point QQ, further along the same curve. The straight line joining them is a chord, and its gradient is something you can work out, because you have two points.

That chord gradient is not the answer — a chord cuts across the curve, so it is too steep or too shallow. But now slide QQ along the curve towards PP. The chord swings round, and the closer QQ gets, the better the chord matches the direction the curve is actually heading in at PP.

The chord gradients do not wander about as you do this. They close in on one number. That number is what we call the gradient of the curve at PP, and the line through PP with that gradient is the tangent.

xy12348QPSlide Q downtowards P and thechord gradientapproaches thetangent gradient.y = x²dy/dx = 2x

Each grey chord is a genuine gradient you could calculate from two points. As Q slides towards P, they close in on the red tangent — that limit is what dy/dx means.

The definition, in one sentence

The gradient of a curve at PP is the number that the gradients of the chords PQPQ approach as QQ slides towards PP.

The word "approach" is doing real work: the chord gradient never actually equals the answer, because when QQ reaches PP you have one point again and the fraction becomes 00\tfrac{0}{0}. It gets arbitrarily close, and the number it gets close to is the one we want. That is all "limit" means here.

Watch it happen with numbers

Nothing above is convincing until you see the numbers settle. Take the simplest curve, y=x2y = x^2, and the point P(1,1)P(1, 1) on it.

For a second point QQ with xx-coordinate qq, the yy-coordinate is q2q^2, so

gradient of PQ=q2−1q−1\text{gradient of } PQ = \frac{q^2 - 1}{q - 1}

Now put in values of qq closing in on 11 from above:

qq

Q=(q, q2)Q = (q,\ q^2)

Gradient of chord PQPQ

22

(2, 4)(2,\ 4)

4−12−1=3\dfrac{4 - 1}{2 - 1} = 3

1.51.5

(1.5, 2.25)(1.5,\ 2.25)

2.25−10.5=2.5\dfrac{2.25 - 1}{0.5} = 2.5

1.11.1

(1.1, 1.21)(1.1,\ 1.21)

1.21−10.1=2.1\dfrac{1.21 - 1}{0.1} = 2.1

1.011.01

(1.01, 1.0201)(1.01,\ 1.0201)

0.02010.01=2.01\dfrac{0.0201}{0.01} = 2.01

1.0011.001

(1.001, 1.002001)(1.001,\ 1.002001)

0.0020010.001=2.001\dfrac{0.002001}{0.001} = 2.001

The gradients are not drifting anywhere — they are marching towards 2.

Read the right-hand column downwards: 3, 2.5, 2.1, 2.01, 2.0013,\ 2.5,\ 2.1,\ 2.01,\ 2.001. There is no mystery about where this is going. The gradient of y=x2y = x^2 at the point (1,1)(1,1) is 2\mathbf{2}.

And when you learn the power rule in the next section you will get dydx=2x\dfrac{\mathrm{d}y}{\mathrm{d}x} = 2x, which at x=1x = 1 gives 22. The table and the rule agree, because the rule was built from exactly this process.

The same thing with algebra instead of numbers

Decimals get you close but never all the way. Algebra gets you there exactly, and this is the version the examiners ask for.

Instead of naming the second point 1.0011.001, call its xx-coordinate 1+h1 + h, where hh is a small step whose size we have not fixed. Then:

Q=(1+h, (1+h)2)Q = \left(1 + h,\ (1+h)^2\right) gradient of PQ=(1+h)2−1(1+h)−1\text{gradient of } PQ = \frac{(1+h)^2 - 1}{(1+h) - 1}

Expand the top: (1+h)2=1+2h+h2(1+h)^2 = 1 + 2h + h^2, so the top is 1+2h+h2−1=2h+h21 + 2h + h^2 - 1 = 2h + h^2. The bottom is just hh. So

gradient of PQ=2h+h2h=h(2+h)h=2+h\text{gradient of } PQ = \frac{2h + h^2}{h} = \frac{h(2 + h)}{h} = 2 + h

Now the limit is obvious rather than guessed. Every chord has gradient exactly 2+h2 + h; as h→0h \to 0 that becomes 22. Same answer as the table, with no rounding anywhere.

Why you may cancel the h

Cancelling h(2+h)h\dfrac{h(2+h)}{h} to 2+h2 + h is legal because h≠0h \neq 0 — the two points are genuinely distinct while the chord exists. You only let hh go to zero after the cancelling, which is precisely the trick that dodges 00\tfrac{0}{0}.

The chord question, as the exam sets it

9709/12 O/N 2024 Q35 marks

The equation of a curve is y=2x2−3y = 2x^2 - 3. Two points AA and BB with xx-coordinates 22 and (2+h)(2+h) respectively lie on the curve.

(a) Find and simplify an expression for the gradient of the chord ABAB in terms of hh. [3]

(b) Explain how the gradient of the curve at the point AA can be deduced from the answer to part (a), and state the value of this gradient. [2]

Show full working
  1. 1

    (a) Start by finding the two yy-coordinates. The curve is y=2x2−3y = 2x^2 - 3, so at x=2x = 2: yA=2(2)2−3=2×4−3=8−3=5y_A = 2(2)^2 - 3 = 2 \times 4 - 3 = 8 - 3 = 5 So A=(2, 5)A = (2,\ 5).

    Do this first and write it down. The mark scheme gives a mark for the y-coordinate at 2+h and expects your 5 to have come from 2(2)²−3.

  2. 2

    At x=2+hx = 2 + h, substitute 2+h2+h wherever xx appears: yB=2(2+h)2−3y_B = 2(2+h)^2 - 3 So B=(2+h, 2(2+h)2−3)B = \left(2+h,\ 2(2+h)^2 - 3\right).

    Leave it unexpanded for one line. Substituting is one idea; expanding is the next.

  3. 3

    Now the ordinary two-point gradient formula, m=y2−y1x2−x1m = \dfrac{y_2 - y_1}{x_2 - x_1}, with BB as point 2 and AA as point 1: mAB=(2(2+h)2−3)−5(2+h)−2m_{AB} = \frac{\left(2(2+h)^2 - 3\right) - 5}{(2+h) - 2}

    Nothing new has happened yet — this is the same formula you have used since coordinate geometry. Only the letters are unusual.

  4. 4

    Deal with the bottom first, because it is easy and it tells you what has to cancel: (2+h)−2=h(2+h) - 2 = h

    The denominator is always h in these questions. Knowing that in advance tells you the numerator must end up with a factor of h.

  5. 5

    Now the top. Expand the bracket: (2+h)2=(2+h)(2+h)=4+2h+2h+h2=4+4h+h2(2+h)^2 = (2+h)(2+h) = 4 + 2h + 2h + h^2 = 4 + 4h + h^2

    Write out all four products. (2+h)² = 4 + h² is the classic slip in this question.

  6. 6

    Multiply by 22: 2(2+h)2=2(4+4h+h2)=8+8h+2h22(2+h)^2 = 2\left(4 + 4h + h^2\right) = 8 + 8h + 2h^2

  7. 7

    Subtract the 33, then subtract the 55: (8+8h+2h2)−3−5=2h2+8h+0=2h2+8h\left(8 + 8h + 2h^2\right) - 3 - 5 = 2h^2 + 8h + 0 = 2h^2 + 8h

    The constants cancel completely — 8 − 3 − 5 = 0. They always will, because A lies on the curve. If a constant survives, you have made an arithmetic error.

  8. 8

    Put the top over the bottom: mAB=2h2+8hhm_{AB} = \frac{2h^2 + 8h}{h}

  9. 9

    Factorise the numerator so the cancelling is visible: mAB=h(2h+8)hm_{AB} = \frac{h\left(2h + 8\right)}{h}

  10. 10

    Cancel the hh (legal, since h≠0h \neq 0 — AA and BB are different points): mAB=2h+8m_{AB} = 2h + 8

    Answer to (a). The mark scheme accepts 2h + 8 or 2(h + 4).

  11. 11

    (b) Now say what happens as BB slides down to AA. The xx-coordinate of BB is 2+h2 + h, so BB reaching AA means h→0h \to 0, and the chord becomes the tangent.

    The mark scheme wants one of two statements: “h → 0”, or “chord AB → tangent at A”. Write one of them explicitly — it is a mark on its own.

  12. 12

    Put h=0h = 0 into the expression from (a): mAB=2(0)+8=8m_{AB} = 2(0) + 8 = 8

    Only now, after the cancelling, is putting h = 0 safe.

  13. 13

    Looking ahead: the power rule in the next section gives dydx=4x\dfrac{\mathrm{d}y}{\mathrm{d}x} = 4x for this curve, and at x=2x = 2 that is 4×2=84 \times 2 = 8 — the same answer. Nothing here depends on that; it is simply where the shortcut comes from.

    Once you have the power rule this becomes a five-second check on questions like this one. For now it is just reassurance that the two routes agree.

Answer

(a) 2h+82h + 8 (b) As h→0h \to 0 the chord ABAB approaches the tangent at AA, so the gradient at AA is 8\mathbf{8}

The structure never changes: form f(a+h)−f(a)h\dfrac{\mathrm{f}(a+h) - \mathrm{f}(a)}{h}, expand, watch the constants cancel, factor out hh, cancel it, then set h=0h = 0. If the hh will not cancel, you have expanded something wrongly.

The other format: a table of chord gradients

The same idea gets tested numerically, with the arithmetic done for you and a table of chords closing in on a point. You are asked what the table suggests. The answer is always "the number the column is heading towards".

Reading the limit off a table

9709/13 O/N 2025 Q33 marks

The equation of a curve is y=f(x)y = \mathrm{f}(x), where f(x)=12x23(x−2)2\mathrm{f}(x) = \tfrac12 x^{\frac23}(x-2)^2. The following points lie on the curve; non-exact yy-coordinates are given correct to 6 decimal places.

A(8, 72),B(8.001, k),C(8.01, 72.300388),D(8.1, 75.038882)A(8,\ 72), \quad B(8.001,\ k), \quad C(8.01,\ 72.300388), \quad D(8.1,\ 75.038882)

(a) Find the value of kk, correct to 6 decimal places. [1]

(b) The table shows the gradients of chords ABAB and ACAC to 4 decimal places. Find the gradient of chord ADAD, correct to 4 decimal places. [1]

ChordABABACACADAD
Gradient30.003930.003930.038830.0388

(c) State what the values in the table suggest about the value of f′(8)\mathrm{f}'(8). [1]

Show full working
  1. 1

    (a) kk is simply f(8.001)\mathrm{f}(8.001) — BB is a point on the curve, so its yy-coordinate comes from the formula. Substitute x=8.001x = 8.001: f(8.001)=12×(8.001)23×(8.001−2)2\mathrm{f}(8.001) = \tfrac12 \times (8.001)^{\frac23} \times (8.001 - 2)^2

  2. 2

    Work the two pieces separately on the calculator. First the bracket: 8.001−2=6.001,(6.001)2=36.0120018.001 - 2 = 6.001, \qquad (6.001)^2 = 36.012001

  3. 3

    Then the fractional power. Remember x2/3x^{2/3} means "cube root, then square": (8.001)23=(8.0013)2=(2.0000833…)2=4.0003333…(8.001)^{\frac23} = \left(\sqrt[3]{8.001}\right)^2 = (2.0000833\ldots)^2 = 4.0003333\ldots

    Keep every digit your calculator shows. Rounding here destroys the 6th decimal place you are asked for.

  4. 4

    Multiply the three parts: 12×4.0003333…×36.012001=72.030004\tfrac12 \times 4.0003333\ldots \times 36.012001 = 72.030004

    The mark scheme says CAO, “not AWRT” — 72.03 or 72.0300 would score zero. Give exactly 6 decimal places.

  5. 5

    (b) A chord gradient is the ordinary two-point formula. Chord ADAD joins A(8,72)A(8, 72) to D(8.1, 75.038882)D(8.1,\ 75.038882): mAD=75.038882−728.1−8m_{AD} = \frac{75.038882 - 72}{8.1 - 8}

  6. 6

    Top: 75.038882−72=3.03888275.038882 - 72 = 3.038882. Bottom: 8.1−8=0.18.1 - 8 = 0.1. mAD=3.0388820.1=30.38882m_{AD} = \frac{3.038882}{0.1} = 30.38882

  7. 7

    To 4 decimal places: mAD=30.3888m_{AD} = 30.3888

    Dividing by 0.1 just moves the point one place right. The commonest error is dividing by 0.01 or by 8.1.

  8. 8

    (c) Now line the three chord gradients up in order of how close the second point is to AA: 30.3888⏟AD, step 0.1,30.0388⏟AC, step 0.01,30.0039⏟AB, step 0.001\underbrace{30.3888}_{AD,\ \text{step } 0.1}, \qquad \underbrace{30.0388}_{AC,\ \text{step } 0.01}, \qquad \underbrace{30.0039}_{AB,\ \text{step } 0.001}

    Sort them by step size, not by the order printed in the table. The pattern only shows up in this order.

  9. 9

    Each time the step shrinks by a factor of 1010, the gradient loses a digit of its excess over 3030: 0.38880.3888, then 0.03880.0388, then 0.00390.0039. The values are closing in on 3030. f′(8)≈30\mathrm{f}'(8) \approx 30

    The mark scheme wants “30”, optionally hedged with “approximately”. Do not write 30.0039 — that is a chord gradient, not the tangent gradient.

  10. 10

    (For interest: differentiating properly gives exactly f′(8)=30\mathrm{f}'(8) = 30, so the table is telling the truth.)

Answer

(a) k=72.030004k = 72.030004 (b) 30.388830.3888 (c) f′(8)≈30\mathrm{f}'(8) \approx 30

These parts are one mark each and pure calculator work — never leave them blank. The only skills are: substitute into the given formula, use y2−y1x2−x1\dfrac{y_2-y_1}{x_2-x_1}, and say the round number the column is approaching.

The four notations

Once the gradient function exists it needs a name, and the syllabus expects you to recognise four.

Notation

Read as

Used when

dydx\dfrac{\mathrm{d}y}{\mathrm{d}x}

dee y by dee x

the curve is given as y=…y = \ldots

f′(x)\mathrm{f}'(x)

f dashed of x

the curve is given as f(x)=…\mathrm{f}(x) = \ldots

d2ydx2\dfrac{\mathrm{d}^2y}{\mathrm{d}x^2}

dee two y by dee x squared

testing the nature of a stationary point

f′′(x)\mathrm{f}''(x)

f double-dashed of x

the same, in function notation

The syllabus expects all four. Answer in whichever notation the question used.

dy/dx is not a fraction

Despite how it looks, dydx\dfrac{\mathrm{d}y}{\mathrm{d}x} is one symbol meaning "the derivative of yy with respect to xx". You cannot cancel the d\mathrm{d}'s, and d2ydx2\dfrac{\mathrm{d}^2y}{\mathrm{d}x^2} is not (dydx)2\left(\dfrac{\mathrm{d}y}{\mathrm{d}x}\right)^2.

The one place it behaves like a fraction is the chain rule (next section, and again in Connected rates of change), where the middle letters do cancel. That is a genuine result, not a licence to cancel elsewhere.

What the second derivative means

Differentiate once and you get the gradient function. Differentiate that, and you get the rate at which the gradient itself is changing:

y → differentiate  dydx → differentiate  d2ydx2y \ \xrightarrow{\ \text{differentiate}\ }\ \frac{\mathrm{d}y}{\mathrm{d}x} \ \xrightarrow{\ \text{differentiate}\ }\ \frac{\mathrm{d}^2y}{\mathrm{d}x^2}
  • dydx\dfrac{\mathrm{d}y}{\mathrm{d}x} answers "is the curve going up or down, and how steeply?"
  • d2ydx2\dfrac{\mathrm{d}^2y}{\mathrm{d}x^2} answers "is that steepness increasing or decreasing?"

If d2ydx2>0\dfrac{\mathrm{d}^2y}{\mathrm{d}x^2} > 0 the gradient is getting bigger as you move right — the curve bends upwards, like a ∪\cup. If it is negative the gradient is falling — the curve bends downwards, like a ∩\cap. Hold on to that picture; it is the whole reason the second-derivative test in the Stationary points section works.

Everything in this section is about what a derivative means. Actually producing one needs a rule, and that is the next section — so the worked examples above use nothing but the two-point gradient formula and algebra.

What you are not asked for

Formal differentiation from first principles is not required on Paper 1, and neither is any formal treatment of limits — the syllabus says only an informal understanding is expected. The chord picture, the table of values and the h→0h \to 0 argument above are exactly the level asked for. You will never be told to "differentiate from first principles".

In the exam
17 parts · 29 marks · in 9 of 37 papers, 2021–2025

Questions on this idea are short, 1–3 marks a part, and they come in the two layouts shown above: a chord from x=ax = a to x=a+hx = a + h worked in algebra, or a table of chord gradients worked on the calculator. Both are pure method. A student who has practised each layout once will not be surprised by either.

Your turn

The first builds the limit numerically, the second does it algebraically, the third is a past-paper table. Do not use the power rule in questions 1 and 2 — the point is the process it came from.

  1. 1

    The point P(3,9)P(3, 9) lies on the curve y=x2y = x^2.

    (a) Find the gradient of the chord joining PP to the point QQ on the curve with xx-coordinate 3.13.1, and then to the point with xx-coordinate 3.013.01.

    (b) What do these suggest the gradient of the curve at PP is?

    Stuck? Show hint

    For each QQ, work out its yy-coordinate from y=x2y = x^2 first, then use y2−y1x2−x1\dfrac{y_2 - y_1}{x_2 - x_1}. Keep all decimal places.

    Show solution
    1. 1

      (a) First chord. At x=3.1x = 3.1 the yy-coordinate is y=(3.1)2=9.61y = (3.1)^2 = 9.61 so Q=(3.1, 9.61)Q = (3.1,\ 9.61).

    2. 2

      Gradient of PQPQ: m=9.61−93.1−3=0.610.1=6.1m = \frac{9.61 - 9}{3.1 - 3} = \frac{0.61}{0.1} = 6.1

      Subtract the y's, subtract the x's, divide. Nothing here is new — it is the gradient formula from coordinate geometry.

    3. 3

      Second chord. At x=3.01x = 3.01: y=(3.01)2=9.0601y = (3.01)^2 = 9.0601 so the second point is (3.01, 9.0601)(3.01,\ 9.0601).

    4. 4

      Gradient: m=9.0601−93.01−3=0.06010.01=6.01m = \frac{9.0601 - 9}{3.01 - 3} = \frac{0.0601}{0.01} = 6.01

    5. 5

      (b) The two gradients are 6.16.1 and 6.016.01. As the second point gets ten times closer, the gradient gets ten times closer to 66.

      State the pattern, not just the number — that is what “what do these suggest” is asking for.

    6. 6

      So the gradient of the curve at PP is 66.

      After the next section you will be able to confirm this in one line — y = x² gives dy/dx = 2x, and 2 × 3 = 6. The chords got there first, and without any rule.

    Answer

    (a) 6.16.1 and 6.016.01 (b) The gradient at PP is 66

  2. 25 marks

    The points AA and BB lie on the curve y=x2+5xy = x^2 + 5x, with xx-coordinates 11 and 1+h1 + h respectively.

    (a) Show that the gradient of the chord ABAB is 7+h7 + h.

    (b) Hence write down the gradient of the curve at AA.

    Stuck? Show hint

    Find yAy_A from the equation, then yBy_B by substituting 1+h1+h for xx. Expand (1+h)2(1+h)^2 fully, and expect every constant to cancel.

    Show solution
    1. 1

      (a) The yy-coordinate at x=1x = 1: yA=(1)2+5(1)=1+5=6y_A = (1)^2 + 5(1) = 1 + 5 = 6 so A=(1, 6)A = (1,\ 6).

    2. 2

      The yy-coordinate at x=1+hx = 1 + h — substitute 1+h1+h everywhere xx appears: yB=(1+h)2+5(1+h)y_B = (1+h)^2 + 5(1+h)

    3. 3

      Expand the square: (1+h)2=(1+h)(1+h)=1+h+h+h2=1+2h+h2(1+h)^2 = (1+h)(1+h) = 1 + h + h + h^2 = 1 + 2h + h^2

      Four products, written out. (1+h)² = 1 + h² loses the whole question.

    4. 4

      Expand the other bracket: 5(1+h)=5+5h5(1+h) = 5 + 5h

    5. 5

      Add them: yB=(1+2h+h2)+(5+5h)=h2+7h+6y_B = \left(1 + 2h + h^2\right) + \left(5 + 5h\right) = h^2 + 7h + 6

      Collect like terms carefully: 2h + 5h = 7h, and 1 + 5 = 6.

    6. 6

      Now the gradient formula. The bottom first: (1+h)−1=h(1+h) - 1 = h

    7. 7

      The top: yB−yA=(h2+7h+6)−6=h2+7hy_B - y_A = \left(h^2 + 7h + 6\right) - 6 = h^2 + 7h

      The constant 6 cancels — as it must, since A is on the curve.

    8. 8

      So mAB=h2+7hhm_{AB} = \frac{h^2 + 7h}{h}

    9. 9

      Factorise the top to expose the common factor: mAB=h(h+7)hm_{AB} = \frac{h\left(h + 7\right)}{h}

    10. 10

      Cancel hh, which is allowed because h≠0h \neq 0: mAB=h+7=7+hm_{AB} = h + 7 = 7 + h as required.

    11. 11

      (b) As BB slides towards AA, h→0h \to 0 and the chord becomes the tangent: m=7+0=7m = 7 + 0 = 7

      Say the words “as h → 0” — in the real mark scheme that statement carries its own mark.

    Answer

    (a) shown (b) Gradient at AA is 77

  3. 39709/11 M/J 2024 Q43 marks

    The equation of a curve is y=f(x)y = \mathrm{f}(x), where f(x)=(2x−1)3x−2−2\mathrm{f}(x) = (2x-1)\sqrt{3x-2} - 2. The following points lie on the curve. Non-exact values have been given correct to 5 decimal places.

    A(2, 4)A(2,\ 4), B(2.0001, k)B(2.0001,\ k), C(2.001, 4.00625)C(2.001,\ 4.00625), D(2.01, 4.06261)D(2.01,\ 4.06261), E(2.1, 4.63566)E(2.1,\ 4.63566), F(3, 11.22876)F(3,\ 11.22876)

    (a) Find the value of kk. Give your answer correct to 5 decimal places. [1]

    (b) The table shows the gradients of the chords ABAB, ACAC, ADAD and AFAF.

    ChordABABACACADADAEAEAFAF
    Gradient of chord6.25016.25016.25116.25116.26086.26087.22887.2288

    Find the gradient of the chord AEAE. Give your answer correct to 4 decimal places. [1]

    (c) Deduce the value of f′(2)\mathrm{f}'(2) using the values in the table. [1]

    Stuck? Show hint

    (a) is f(2.0001)\mathrm{f}(2.0001) on the calculator. (b) is the two-point gradient formula. For (c), read the gradients in order of how close the second point is to AA.

    Show solution
    1. 1

      (a) BB lies on the curve, so k=f(2.0001)k = \mathrm{f}(2.0001). Work the pieces separately: 2(2.0001)−1=3.0002,3(2.0001)−2=4.00032(2.0001) - 1 = 3.0002, \qquad 3(2.0001) - 2 = 4.0003

    2. 2

      Then k=3.0002×4.0003−2=3.0002×2.0000750…−2=4.000625…k = 3.0002 \times \sqrt{4.0003} - 2 = 3.0002 \times 2.0000750 \ldots - 2 = 4.000625\ldots

      Keep every digit on the calculator until the end.

    3. 3

      To 5 decimal places: k=4.00063k = 4.00063

      The mark scheme is CAO: 4.0006 (only 4 decimal places) scores nothing.

    4. 4

      (b) Chord AEAE joins A(2,4)A(2, 4) to E(2.1, 4.63566)E(2.1,\ 4.63566): mAE=4.63566−42.1−2=0.635660.1=6.3566m_{AE} = \frac{4.63566 - 4}{2.1 - 2} = \frac{0.63566}{0.1} = 6.3566

    5. 5

      (c) Put the chords in order of how close the second point is to AA, furthest first: AF:7.2288,AE:6.3566,AD:6.2608,AC:6.2511,AB:6.2501AF: 7.2288, \quad AE: 6.3566, \quad AD: 6.2608, \quad AC: 6.2511, \quad AB: 6.2501

      Sort by the size of the step (1, 0.1, 0.01, 0.001, 0.0001), not by the order of the table.

    6. 6

      Each time the step shrinks by a factor of 1010, the excess over 6.256.25 shrinks by about 1010 too: 0.10660.1066, 0.01080.0108, 0.00110.0011, 0.00010.0001. The gradients are closing in on 6.256.25. f′(2)=6.25\mathrm{f}'(2) = 6.25

      The mark scheme is CAO on 6.25. Quoting 6.2501, the gradient of the closest chord, is not the limit.

    Answer

    (a) k=4.00063k = 4.00063 (b) 6.35666.3566 (c) f′(2)=6.25\mathrm{f}'(2) = 6.25

The rest of this note

Checking your access…

Can you do all of these?

  • Explain what dydx\dfrac{\mathrm{d}y}{\mathrm{d}x} means using chords and a limit

  • Find the gradient of the chord from x=ax = a to x=a+hx = a+h, simplify it, and let h→0h \to 0

  • Read the value of f′(a)\mathrm{f}'(a) off a table of chord gradients

  • Rewrite 3x2\dfrac{3}{x^2}, 5x5\sqrt{x}, (2x−1)(x+3)(2x-1)(x+3) and x3+2xx\dfrac{x^3+2x}{x} ready for differentiating

  • Differentiate (3x+2)1/2(3x+2)^{1/2}, 4(2x−1)2\dfrac{4}{(2x-1)^2} and 32x2−5\dfrac{3}{2x^2-5} with the chain rule

  • Find dydx\dfrac{\mathrm{d}y}{\mathrm{d}x} and d2ydx2\dfrac{\mathrm{d}^2y}{\mathrm{d}x^2} for an equation containing an unknown constant

  • Find the tangent and the normal at a point, and give the answer as ax+by+c=0ax+by+c=0 with integers

  • Find where a curve has a stated gradient, and handle "y=mx+ky = mx+k is a tangent to the curve"

  • Use b2−4ac=0b^2 - 4ac = 0 when a line with an unknown gradient is a tangent

  • Find the set of values of xx for which a given curve is decreasing — with "and"/"or" written correctly, and any excluded xx left out

  • Justify "increasing, decreasing or neither" from the sign of f′(x)\mathrm{f}'(x) — term by term or by completing the square — not from sample values

  • Find both stationary points of a cubic and determine their nature with d2ydx2\dfrac{\mathrm{d}^2y}{\mathrm{d}x^2}

  • Say why a stationary point with d2ydx2>0\dfrac{\mathrm{d}^2y}{\mathrm{d}x^2} > 0 is a minimum

  • Sketch a curve from its stationary points, and say where they go under a translation or a reflection

  • Find an unknown constant, or two, in a curve's equation from a given stationary point

  • Use a constraint to write a volume or area in one variable, then maximise it

  • Do a connected-rates problem in either direction, and give the answer with units

  • Recover a curve from d2ydx2\dfrac{\mathrm{d}^2y}{\mathrm{d}x^2}, using the stationary point for c1c_1 and the point for c2c_2

Now do the questions
145 real Paper 1 parts from 2021–2025, sorted by difficulty, with mark schemes
Differentiation also appears on Paper 2Paper 2 continues this topic with e^x, ln x and the trigonometric derivatives, the product and quotient rules, and parametric and implicit differentiation. Only read it if you are sitting Pure Mathematics 2.