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Additional Mathematics Classroom | Chapter 10: Differentiation — Gradient Functions, Power/Product/Quotient/Chain Rules, Tangents, Normals and Rates | SEC G2 K232 / G3 K341

Additional Mathematics Classroom · Chapter 10 · SEC 2027 · Shared G2/G3 calculus core

Differentiation: describing how a quantity is changing here

A graph tells us where a quantity is. A derivative tells us how that quantity is changing at a particular point.

That one shift—from value to local change—is the beginning of calculus. A curve can rise quickly, rise slowly, flatten, turn, fall or change steepness. Differentiation converts those local behaviours into algebra. It gives the gradient of a tangent, an instantaneous rate of change, the slope of a moving quantity and the mathematical engine behind tangents, normals, connected rates, stationary behaviour and optimisation.

The old textbook’s Chapter 11 is a strong entry point because it begins with gradient functions, then builds the differentiation rules, then applies them to tangent and normal equations and rates of change. SEC 2027 preserves this shared core for both G2 Additional Mathematics K232 and G3 Additional Mathematics K341. The wider G3 family of derivatives involving trigonometric, exponential and logarithmic functions will be taught later as a separate extension chapter, matching the old textbook’s later calculus sequence.

← Chapter 9: Proofs in Plane Geometry · ← Shared Chapter 8: Trigonometry

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The 2027 SEC position

Both G2 K232 and G3 K341 require the following differentiation foundation:

  • derivative of f(x) as the gradient of the tangent to y = f(x) at a point;
  • derivative as a rate of change;
  • standard notations including f′(x), f″(x), dy/dx and d²y/dx²;
  • derivatives of xn for any rational n, together with constant multiples, sums and differences;
  • derivatives of products and quotients of functions;
  • use of the Chain Rule;
  • applications to gradients, tangents and normals;
  • connected rates of change.

Both levels also continue into increasing/decreasing functions, stationary points, the second derivative test and maxima/minima problems. Those applications are substantial enough to become the next classroom chapter, preserving the old textbook’s distinction between its introductory differentiation chapter and its later chapter on further applications.

G3 K341 additionally requires derivatives of sin x, cos x, tan x, ex and ln x. Those are not part of the listed G2 K232 derivative family, so they will be taught later as an explicit G3 extension rather than being hidden inside this shared core.

Shared calculus first. G3 function-family extensions second. Applications then become easier to route because the learner knows exactly which derivative engine is available.

Official references: SEAB 2027 G2 Additional Mathematics K232 · SEAB 2027 G3 Additional Mathematics K341.


What differentiation is really teaching

The visible skill is finding dy/dx. The deeper skill is recognising dependency. If y depends on x, then changing x changes y. The derivative describes how sensitive y is to a small change in x at the current state.

That produces several equivalent readings:

  • graph reading: dy/dx is the gradient of the tangent;
  • rate reading: dy/dx is the instantaneous rate at which y changes with x;
  • function reading: the derivative itself is a new function that assigns a gradient to each x;
  • motion reading: if position depends on time, the derivative is velocity;
  • model reading: if area, volume, cost or another quantity depends on a variable, the derivative describes its local response.

A learner who sees only the power rule misses most of calculus. The rule is the computational mechanism. The meaning is local change.

Chapter map

  1. Average gradient and tangent gradient
  2. The derivative as a gradient function
  3. The derivative as a rate of change
  4. Differentiation notation
  5. Power rule for rational powers
  6. Constants, sums and differences
  7. Preparing expressions before differentiating
  8. Product Rule
  9. Quotient Rule
  10. Chain Rule
  11. Nested structure and rule selection
  12. Tangent equations
  13. Normal equations
  14. Connected rates
  15. Units and interpretation
  16. Verification and alternative routes
  17. Common calculus errors
  18. G2/G3 performance expectations
  19. Original guided practice
  20. Worked answers and mastery checkpoint

1 · Average gradient is not yet instantaneous gradient

For a straight line, gradient is constant. Choose any two points and the same rise/run appears. A curve is different. Its steepness changes from point to point.

Suppose y = x². Between x = 1 and x = 3:

average gradient = [f(3) − f(1)]/(3 − 1) = (9 − 1)/2 = 4.

That number describes the secant line joining (1,1) and (3,9). It does not tell us the exact steepness of the curve at x = 1 or x = 3.

To describe the gradient at one point, imagine moving the second point closer and closer to the first. The secant line approaches the tangent line. The limiting gradient is the derivative at that point.

The formal machinery of limits belongs to later study, but this picture is enough to understand the derivative concept: a derivative is the local gradient obtained when the interval of comparison collapses towards a point.

Why the tangent can cross the curve

A tangent is defined by matching the curve’s local gradient at the point, not by “touching once and never crossing”. For some curves—especially near points of inflexion—the tangent can cross the graph. The school picture of a tangent merely kissing a curve is useful early on but not a safe definition.

The local question

Differentiation asks: if x changes by a tiny amount from here, how quickly is y changing?


2 · The derivative is a new function

Take y = x². Its derivative is

dy/dx = 2x.

This means the gradient of y = x² depends on x.

  • at x = 0, gradient = 0;
  • at x = 1, gradient = 2;
  • at x = 3, gradient = 6;
  • at x = −2, gradient = −4.

The derivative 2x is therefore a gradient function. Feed it an x-coordinate and it returns the tangent gradient of the original curve at that x.

The original function tells you height. The derivative function tells you slope.

Graph-to-derivative reading

Where the original curve rises, dy/dx is positive. Where it falls, dy/dx is negative. Where the tangent is horizontal, dy/dx = 0. Those observations will become central in the next chapter on increasing/decreasing behaviour and stationary points.

Derivative notation

If y = f(x), several equivalent notations may appear:

  • f′(x);
  • dy/dx;
  • d/dx [f(x)].

The second derivative may be written f″(x) or d²y/dx². It describes how the first derivative changes and will be used later for curvature-related classification and rate-of-rate interpretation.


3 · Derivative as a rate of change

Gradient and rate are the same mathematical idea in different contexts. If y changes with x, dy/dx tells us the instantaneous change in y per unit change in x.

If s is displacement in metres and t is time in seconds, ds/dt has units m/s and represents velocity. If A is area in cm² and r is radius in cm, dA/dr has units cm²/cm = cm and measures how quickly area changes as radius changes. If V is volume in cm³ and t is time in seconds, dV/dt has units cm³/s.

Units help preserve meaning. A number such as 12 without units may be correct algebraically but incomplete as a rate interpretation.

Worked meaning example

The area of a circle is A = πr². Differentiate with respect to r:

dA/dr = 2πr.

At r = 5 cm:

dA/dr = 10π cm.

Interpretation: near radius 5 cm, a small increase of radius by 1 cm would correspond locally to about 10π cm² increase in area per centimetre of radius. The derivative is a local sensitivity, not the exact finite area increase for a whole 1 cm jump.


4 · The power rule

For rational n in the SEC core:

d/dx (xn) = nxn−1.

The memory phrase “bring the power down and subtract one” is useful, but it should be connected to exact notation and domain awareness.

Worked route A · positive integer power

y = 7x⁵.

dy/dx = 7·5x⁴ = 35x⁴.

Worked route B · negative power

y = 4x−3.

dy/dx = 4(−3)x−4 = −12x−4 = −12/x⁴.

The original function is undefined at x = 0, and the derivative expression reflects an even stronger denominator power there. Domain does not disappear during differentiation.

Worked route C · fractional power

y = 6x3/2.

dy/dx = 6(3/2)x1/2 = 9√x.

Worked route D · square root

y = √x = x1/2.

dy/dx = (1/2)x−1/2 = 1/(2√x), for the standard real domain where this derivative is defined.

Rewriting radicals as powers before differentiating is often the cleanest route.


5 · Constants, sums and differences

A constant has derivative zero because it does not change as x changes.

d/dx(c) = 0.

Differentiation is linear over constant multiples, sums and differences:

d/dx [af(x) + bg(x)] = af′(x) + bg′(x),

for constants a and b.

Worked polynomial

y = 3x⁴ − 5x² + 7x − 9.

dy/dx = 12x³ − 10x + 7.

The constant −9 disappears because its rate of change is zero.

What the derivative preserves

If two functions differ only by a vertical shift, they have the same derivative. For example, x² and x² + 100 both differentiate to 2x. The functions sit at different heights but have the same local slopes everywhere.

This fact will later explain the constant of integration: reversing differentiation cannot recover the missing vertical shift without additional information.


6 · Simplify before choosing a harder rule

Students often see multiplication or division and immediately reach for Product Rule or Quotient Rule. That is sometimes necessary and sometimes inefficient.

Example A · expand first

y = x²(x + 3).

You could use Product Rule. But expansion gives

y = x³ + 3x²,

so dy/dx = 3x² + 6x.

The simpler representation removed the need for a more advanced rule.

Example B · rewrite division as a power

y = 5/x³ = 5x−3.

Use the power rule directly:

dy/dx = −15x−4.

Using Quotient Rule here would be correct but unnecessarily expensive.

Rule-selection principle

Differentiate the simplest equivalent form you can obtain without creating more work.


7 · Product Rule: both factors are changing

If

y = u(x)v(x),

then

dy/dx = u(dv/dx) + v(du/dx).

Equivalently:

(uv)′ = u′v + uv′.

The derivative is not u′v′. Both factors contribute to the change of the product.

Why multiplying derivatives is wrong

Take y = x·x = x². The correct derivative is 2x. If we multiplied the derivatives of the factors, we would get 1·1 = 1, which is clearly inconsistent. Product Rule must account for the change in each factor while the other factor contributes its current value.

Worked route A

Differentiate y = x²(x³ + 4).

Let u = x² and v = x³ + 4.

  • u′ = 2x;
  • v′ = 3x².

Then

y′ = 2x(x³ + 4) + x²(3x²)

= 2x⁴ + 8x + 3x⁴

= 5x⁴ + 8x.

Expanding first would have been even faster: y = x⁵ + 4x². Both routes should agree.

Worked route B · product rule genuinely useful

Differentiate y = (x² + 1)(x³ − 2x + 5).

Let u = x² + 1 and v = x³ − 2x + 5.

u′ = 2x, v′ = 3x² − 2.

Therefore

y′ = 2x(x³ − 2x + 5) + (x² + 1)(3x² − 2).

Expansion is optional unless a later step requires a polynomial form.

A structure-preserving answer can be better

Leaving the derivative partly factorised can make later substitution or stationary-point solving easier. “Simplify” should mean “make useful”, not automatically “expand everything”.


8 · Quotient Rule: numerator and denominator both change

If

y = u/v,

then

dy/dx = [v(du/dx) − u(dv/dx)]/v².

A common memory phrase is “bottom times derivative of top minus top times derivative of bottom, over bottom squared”. The phrase is useful only if the signs and order remain reliable.

Worked route A

Differentiate

y = (x² + 3)/(x − 1).

Let u = x² + 3 and v = x − 1.

u′ = 2x, v′ = 1.

Then

y′ = [(x − 1)(2x) − (x² + 3)(1)]/(x − 1)²

= [2x² − 2x − x² − 3]/(x − 1)²

= (x² − 2x − 3)/(x − 1)².

The derivative is valid where the original quotient is defined: x ≠ 1.

Worked route B · simplify before quotient rule?

Differentiate (x² − 1)/(x − 1).

For x ≠ 1, the expression simplifies to x + 1. Therefore derivative = 1 on its domain.

Quotient Rule would also produce 1 after simplification, but the algebraic cancellation is far more efficient. Notice, however, that the original function has a hole at x = 1. Simplification does not silently add that missing domain point back.

Sign discipline

The numerator is v u′ − u v′. Reversing the terms changes the sign of the derivative. Write the structure before substituting if sign errors are recurring.


9 · Chain Rule: differentiate a function inside a function

The Chain Rule is the rule for nested dependence.

If y depends on u and u depends on x, then y depends on x through u. Symbolically:

dy/dx = (dy/du)(du/dx).

For a power of a linear or algebraic inner expression:

d/dx [(g(x))n] = n(g(x))n−1g′(x).

The question that triggers Chain Rule

What is inside what?

If the expression is (3x + 1)⁵, the outer function is u⁵ and the inner function is u = 3x + 1.

Worked route A

Differentiate y = (3x + 1)⁵.

Outer derivative:

5(3x + 1)⁴.

Multiply by derivative of inner expression 3:

dy/dx = 15(3x + 1)⁴.

The missing factor 3 is one of the most common A-Math differentiation mistakes.

Worked route B · negative rational power

Differentiate y = (2x − 5)−2.

y′ = −2(2x − 5)−3·2

= −4(2x − 5)−3.

Worked route C · square root of a function

Differentiate y = √(5x² + 4) = (5x² + 4)1/2.

y′ = (1/2)(5x² + 4)−1/2(10x)

= 5x/√(5x² + 4).

Chain Rule is multiplication because dependencies are stacked

If y changes 4 units for each unit change in u, and u changes 3 units for each unit change in x, then locally y changes about 4×3 = 12 units for each unit change in x. The Chain Rule multiplies local rates along the dependency chain.


10 · Rules can be nested inside rules

Real examination questions rarely announce “Product Rule question” or “Chain Rule question”. One expression may require several rules at once.

Worked route A · Product Rule plus Chain Rule

Differentiate

y = x²(3x + 1)⁴.

Outer structure: product.

Let u = x² and v = (3x + 1)⁴.

u′ = 2x.

v′ = 4(3x + 1)³·3 = 12(3x + 1)³.

Therefore

y′ = 2x(3x + 1)⁴ + x²·12(3x + 1)³.

Factorising:

y′ = 2x(3x + 1)³[(3x + 1) + 6x]

= 2x(3x + 1)³(9x + 1).

The factorised derivative will be particularly useful when solving y′ = 0 later.

Worked route B · Quotient Rule plus Chain Rule

Differentiate

y = (x² + 1)/(2x − 3)³.

One route is Quotient Rule with denominator v = (2x − 3)³, whose derivative requires Chain Rule:

u = x² + 1, u′ = 2x.

v = (2x − 3)³, v′ = 3(2x − 3)²·2 = 6(2x − 3)².

Then

y′ = [(2x − 3)³(2x) − (x² + 1)6(2x − 3)²]/(2x − 3)⁶.

Cancel a common factor (2x − 3)²:

y′ = [2x(2x − 3) − 6(x² + 1)]/(2x − 3)⁴

= [4x² − 6x − 6x² − 6]/(2x − 3)⁴

= (−2x² − 6x − 6)/(2x − 3)⁴.

Alternative route: negative powers

The same function can be written

y = (x² + 1)(2x − 3)−3.

Now Product Rule plus Chain Rule may be cleaner than Quotient Rule. Being able to choose between equivalent forms is stronger than identifying one official rule by appearance.


11 · A rule-selection hierarchy

Before differentiating, inspect the outermost structure.

  1. Can I simplify first? Expand, cancel, rewrite roots/fractions as powers if that reduces complexity.
  2. Is the whole expression a sum/difference? Differentiate term by term.
  3. Is it a genuine product of changing factors? Product Rule.
  4. Is it a genuine quotient that does not simplify easily? Quotient Rule or rewrite with a negative power.
  5. Is one function inside another? Chain Rule.
  6. Are several structures nested? Work from the outside in, applying the appropriate rule at each layer.

This hierarchy prevents “formula hunting”. The expression itself tells us which dependency structure is active.

Structure-marking technique

For

y = [(x² + 1)(3x − 2)⁵]/(x + 4),

mark the outer quotient first. Inside the numerator is a product. Inside one factor is a power of a linear expression. The rule tree is:

Quotient → Product → Chain.

Planning the rule tree before calculating dramatically reduces lost factors and sign errors.


12 · Tangent equations: derivative gives the missing gradient

A tangent to y = f(x) at x = a has gradient

m = f′(a).

The point of contact is

(a, f(a)).

Then use the straight-line equation

y − y₁ = m(x − x₁).

Worked tangent

Find the tangent to y = x³ − 2x at x = 2.

First find the point:

y = 8 − 4 = 4, so point P = (2,4).

Differentiate:

dy/dx = 3x² − 2.

At x = 2:

m = 12 − 2 = 10.

Tangent:

y − 4 = 10(x − 2).

Hence y = 10x − 16.

Two calculations, two different roles

Students sometimes substitute x = 2 only into the derivative and forget to find y. The derivative gives the gradient, but the tangent equation needs a point as well. The original function supplies the point; the derivative supplies the direction.


13 · Normal equations: perpendicular to the tangent

The normal at a point on a curve is the line perpendicular to the tangent there.

If tangent gradient is mt and both gradients are finite and non-zero, then

mn = −1/mt.

This is the coordinate-geometry perpendicular-gradient condition returning inside calculus.

Worked normal

For y = x³ − 2x at x = 2, we found tangent gradient 10 and point (2,4).

Normal gradient = −1/10.

Normal equation:

y − 4 = −(1/10)(x − 2).

One exact form is x + 10y = 42.

Horizontal and vertical special cases

If the tangent is horizontal, its gradient is 0 and the normal is vertical. A vertical line cannot be represented in y = mx + c form; its equation is x = constant. Do not force −1/0 into ordinary arithmetic.


14 · Tangent and normal questions can be reversed

Not every problem gives the x-coordinate and asks for the tangent. Sometimes the line gradient is given and the point on the curve must be found.

Worked reverse tangent problem

Find the points on y = x³ − 3x where the tangent has gradient 9.

dy/dx = 3x² − 3.

Set gradient equal to 9:

3x² − 3 = 9

3x² = 12

x² = 4

x = ±2.

At x = 2, y = 8 − 6 = 2.

At x = −2, y = −8 + 6 = −2.

Points: (2,2) and (−2,−2).

A given tangent gradient has become an equation in x through the derivative function.

Normal-gradient reverse problem

If a normal has gradient 1/4, the tangent gradient is −4. Set f′(x) = −4, solve for x, then return to f(x) for the point. Again, derivative gives the condition and original function gives the coordinate.


15 · Connected rates: several changing quantities share one relationship

Connected-rates problems are Chain Rule problems expressed in a physical or geometric context.

Suppose y depends on x and x depends on time t. Then:

dy/dt = (dy/dx)(dx/dt).

This says the rate of y with respect to time is obtained by multiplying how y responds to x by how x responds to time.

Connected-rate workflow

  1. Identify the quantities changing.
  2. Write an equation relating them before inserting numerical values.
  3. Differentiate the relationship with respect to the common independent variable, usually time.
  4. Substitute the state at the instant of interest.
  5. Substitute the known rate.
  6. Solve for the required rate.
  7. State units and sign meaning.

Worked connected rate A · circle area

The radius r of a circular ripple increases at 3 cm/s. Find the rate at which area A increases when r = 5 cm.

A = πr².

Differentiate with respect to t:

dA/dt = 2πr·dr/dt.

At r = 5 and dr/dt = 3:

dA/dt = 2π(5)(3) = 30π cm²/s.

The derivative dA/dr = 2πr measures area sensitivity to radius; multiplying by dr/dt converts that into area change per time.

Worked connected rate B · sphere volume

A sphere has volume V = (4/3)πr³. Its radius decreases at 0.2 cm/s. Find dV/dt when r = 6 cm.

dV/dt = 4πr²·dr/dt.

Because radius decreases:

dr/dt = −0.2.

Thus

dV/dt = 4π(36)(−0.2) = −28.8π cm³/s.

The negative sign means volume is decreasing. If the question asks “rate of decrease”, the magnitude 28.8π cm³/s may be reported with the wording made explicit.

Do not substitute too early

If r = 6 is substituted before differentiating V = (4/3)πr³, the relationship becomes a constant volume at that frozen instant and the changing dependency is lost. Keep variables alive until after differentiation.


16 · Connected rates with implicit relationships

Some relationships contain several changing variables and cannot be solved conveniently for one before differentiation.

Worked route · Pythagorean dependency

A right triangle has legs x and y and fixed hypotenuse 10. Suppose x increases at 2 units/s. Find dy/dt when x = 6 and y = 8.

Relationship:

x² + y² = 100.

Differentiate with respect to t:

2x dx/dt + 2y dy/dt = 0.

Substitute x = 6, y = 8, dx/dt = 2:

2(6)(2) + 2(8)dy/dt = 0

24 + 16dy/dt = 0

dy/dt = −3/2 units/s.

As x increases while the hypotenuse stays fixed, y must decrease. The negative sign matches the geometry.

Chain Rule hidden in implicit differentiation

When differentiating y² with respect to t, y is itself a function of t:

d/dt(y²) = 2y dy/dt.

The factor dy/dt is the Chain Rule. Connected rates make the dependency impossible to ignore.


17 · Rates need units, signs and context

A correct derivative can still be an incomplete applied answer. Rate questions require interpretation.

  • Length changing with time: cm/s, m/s, etc.
  • Area changing with time: cm²/s, m²/s.
  • Volume changing with time: cm³/s, m³/s.
  • A positive sign means increase in the chosen positive direction.
  • A negative sign means decrease or motion in the opposite chosen direction.

Dimensions also provide a check. If a volume-rate question ends in cm/s, something has gone wrong.

Instantaneous versus average rate

dV/dt at t = 5 is an instantaneous rate. [V(6) − V(4)]/2 is an average rate over an interval. They may be close when the interval is small, but they answer different questions.


18 · Verification: calculus should be checked from more than one direction

Differentiation is symbolic, but several inexpensive checks are available.

  • Power check: the degree of a polynomial term normally falls by 1.
  • Sign check: if a curve is visibly rising at the point, a negative gradient is suspicious.
  • Alternative-form check: differentiate an expanded form and a product-rule form; they should agree.
  • Numerical secant check: a small-interval average gradient near the point should be close to the derivative value.
  • Units check: rate dimensions should match the quantity/time relationship.
  • Geometry check: tangent and normal gradients should be perpendicular where applicable.

Numerical local check

For f(x) = x², f′(2) = 4.

Average gradient from x = 2 to x = 2.01 is

[2.01² − 2²]/0.01 = (4.0401 − 4)/0.01 = 4.01.

That is close to 4, as expected. The numerical check does not replace the derivative proof, but it can expose a major algebraic error.


19 · The differentiation error map

“Weak at differentiation” is not a diagnosis. It is the name of a region. Find the first unstable dependency.

  • Power-rule error: multiply by n but forget to reduce the power.
  • Negative-power error: signs or exponents are mishandled.
  • Radical-form error: square roots are not rewritten into workable powers.
  • Unnecessary-rule error: Quotient Rule used where a simple power rewrite would work.
  • Product-rule collapse: derivatives multiplied instead of u′v + uv′.
  • Quotient-rule sign error: numerator order reversed.
  • Chain-factor omission: the derivative of the inside function is missing.
  • Rule-tree failure: a nested expression is attacked without identifying its outer structure.
  • Tangent-point failure: gradient found but point coordinate not found from the original function.
  • Normal-gradient failure: reciprocal used without changing sign.
  • Connected-rate freeze: numerical values substituted before differentiation.
  • Dependency failure: y² differentiated with respect to t as 2y instead of 2y dy/dt.
  • Unit failure: correct number, wrong or missing units.
  • Interpretation failure: negative rate reported without explaining decrease/direction.

The six-question first weak-link diagnostic

  1. Differentiate x−3/2.
  2. Differentiate (4x − 1)⁵.
  3. Differentiate (x² + 1)(x + 3).
  4. Differentiate (x² + 1)/(x − 2).
  5. Find a tangent equation at a stated x.
  6. Solve one connected-rate problem from a geometric relation.

The first failed question tells you which layer needs repair. Do not respond to a Chain Rule failure with twenty tangent questions.


20 · G2 and G3: the shared differentiation floor

This chapter is genuinely shared. G2 and G3 both require rational-power differentiation, product and quotient rules, Chain Rule, tangent/normal applications and connected rates.

The difference appears in the wider system:

  • G2: consolidate the common calculus engine and apply it reliably to algebraic functions and stated contexts.
  • G3: retain the same engine while expanding it to trigonometric, exponential and logarithmic derivatives and denser mixed-topic applications.

A shared classroom should therefore teach the common rules once and then vary the function family and connection density later. The Chain Rule itself does not become a different theorem in G3; the objects it acts on become broader.


21 · Original guided practice

The following questions are original to this classroom guide. They progress from derivative fluency to nested-rule selection, tangents/normals and connected rates.

A · Power rule and algebraic preparation

  1. Differentiate y = 8x⁶ − 3x² + 5x − 7.
  2. Differentiate y = 4x−3 + 7x1/2.
  3. Differentiate y = 3/x² + 2√x.
  4. Differentiate y = 5x7/3 − 2x−1/2.
  5. Differentiate y = x²(x + 4) by first expanding.
  6. Differentiate y = (x² − 1)/(x − 1) after simplifying, stating the domain inherited from the original expression.

B · Chain Rule

  1. Differentiate y = (4x + 3)⁶.
  2. Differentiate y = (5 − 2x)−3.
  3. Differentiate y = √(3x + 7).
  4. Differentiate y = (2x² + 1)5/2.
  5. Differentiate y = 1/√(x² + 4).
  6. Differentiate y = (x³ − 2x)4.

C · Product and Quotient Rules

  1. Differentiate y = (x² + 3)(x³ − 1).
  2. Differentiate y = x³(2x − 1)⁴.
  3. Differentiate y = (x² + 1)/(x + 2).
  4. Differentiate y = (3x − 1)²/(x² + 4).
  5. Differentiate y = (x² + 1)(x + 3)−2 using Product Rule and Chain Rule.
  6. Differentiate y = x²/(2x + 1)³ by any efficient valid route.

D · Tangents and normals

  1. Find the gradient of y = x³ − 4x at x = 3.
  2. Find the equation of the tangent to y = x² + 2x − 1 at x = 2.
  3. Find the equation of the normal to y = x² + 2x − 1 at x = 2.
  4. Find the points on y = x³ − 3x where the tangent gradient is 9.
  5. Find the point on y = x² where the tangent is parallel to y = 6x − 4.
  6. Find the point on y = x³ + x where the normal has gradient −1/7.
  7. At what x-coordinate does y = x³ − 6x² + 5 have a horizontal tangent?

E · Rates and connected rates

  1. A circle has A = πr². Find dA/dr and evaluate it at r = 7.
  2. The radius of a circle increases at 4 cm/s. Find dA/dt when r = 3 cm.
  3. A sphere has V = (4/3)πr³. Find dV/dr.
  4. A sphere’s radius increases at 0.5 cm/s. Find dV/dt when r = 4 cm.
  5. A cube has side x cm. Its side grows at 0.2 cm/s. Find the rate of change of its volume when x = 10 cm.
  6. A right triangle satisfies x² + y² = 169. If dx/dt = 3 units/s, find dy/dt when x = 5 and y = 12.
  7. The area of a square is A = x². If A increases at 12 cm²/s, find dx/dt when x = 3 cm.
  8. A cylinder has fixed height 10 cm and radius r. If its volume increases at 20π cm³/s, find dr/dt when r = 2 cm.
  9. A particle’s displacement is s = t³ − 6t² + 9t. Find ds/dt and interpret it as a rate.
  10. For s = t³ − 6t² + 9t, find the velocity at t = 2.

F · Mixed SEC reasoning

  1. A student differentiates (3x + 1)⁵ as 5(3x + 1)⁴. Diagnose the missing factor.
  2. A student differentiates uv as u′v′. Give a one-line counterexample showing this cannot be the Product Rule.
  3. A student uses Quotient Rule on 5/x³. Give a simpler route.
  4. A student finds the tangent gradient correctly but writes a line through the wrong point. Explain which function supplies the point and which function supplies the gradient.
  5. A student finds tangent gradient 0 and writes normal gradient “undefined” but then stops. What is the geometric equation form of the normal?
  6. In a connected-rate problem, a student substitutes r = 5 into A = πr² before differentiating. Explain why this destroys the changing relationship.
  7. Why must d/dt(y²) be 2y dy/dt rather than 2y when y changes with t?
  8. Give two reasons why a factorised derivative can be more useful than an expanded one.
  9. Explain why a derivative value can be interpreted both as tangent gradient and instantaneous rate of change.
  10. State the main derivative-family difference between G2 K232 and G3 K341 after this shared calculus floor.

22 · Worked answers and reasoning checkpoints

  1. 48x⁵ − 6x + 5.
  2. −12x−4 + (7/2)x−1/2.
  3. 3x−2 + 2x1/2 gives derivative −6x−3 + x−1/2.
  4. (35/3)x4/3 + x−3/2.
  5. y = x³ + 4x², so y′ = 3x² + 8x.
  6. Original expression simplifies to x + 1 for x ≠ 1. Derivative 1, with inherited domain x ≠ 1.
  7. 24(4x + 3)⁵.
  8. −3(5 − 2x)−4(−2) = 6(5 − 2x)−4.
  9. 3/[2√(3x + 7)].
  10. (5/2)(2x² + 1)3/2(4x) = 10x(2x² + 1)3/2.
  11. y = (x² + 4)−1/2; derivative = −(1/2)(x² + 4)−3/2(2x) = −x/(x² + 4)3/2.
  12. 4(x³ − 2x)³(3x² − 2).
  13. 2x(x³ − 1) + (x² + 3)(3x²), or any algebraically equivalent simplified form.
  14. Product Rule plus Chain Rule: 3x²(2x − 1)⁴ + 8x³(2x − 1)³; factorised form x²(2x − 1)³[3(2x − 1)+8x].
  15. Quotient Rule gives [2x(x + 2) − (x² + 1)]/(x + 2)² = (x² + 4x − 1)/(x + 2)².
  16. Let u = (3x − 1)², v = x² + 4. u′ = 6(3x − 1), v′ = 2x. Derivative {6(3x − 1)(x² + 4) − 2x(3x − 1)²}/(x² + 4)².
  17. 2x(x + 3)−2 − 2(x² + 1)(x + 3)−3.
  18. Write y = x²(2x + 1)−3. Derivative 2x(2x + 1)−3 − 6x²(2x + 1)−4, equivalent to 2x(1 − x)/(2x + 1)⁴.
  19. y′ = 3x² − 4. At x = 3: 23.
  20. Point at x = 2: y = 4 + 4 − 1 = 7. Gradient y′ = 2x + 2 = 6. Tangent: y − 7 = 6(x − 2), so y = 6x − 5.
  21. Normal gradient = −1/6. Through (2,7): y − 7 = −(1/6)(x − 2).
  22. y′ = 3x² − 3. Set 9: x² = 4, x = ±2. Points (2,2) and (−2,−2).
  23. Parallel gradient = 6. For y = x², y′ = 2x = 6, so x = 3 and y = 9. Point (3,9).
  24. Normal gradient −1/7 means tangent gradient 7. y′ = 3x² + 1 = 7, so x² = 2. Thus x = ±√2. Points are (√2, 3√2) and (−√2, −3√2) because y = x³ + x = x(x² + 1) = 3x.
  25. y′ = 3x² − 12x = 3x(x − 4). Horizontal tangent when x = 0 or 4.
  26. dA/dr = 2πr; at r = 7, 14π.
  27. dA/dt = 2πr dr/dt = 2π(3)(4) = 24π cm²/s.
  28. dV/dr = 4πr².
  29. dV/dt = 4π(16)(0.5) = 32π cm³/s.
  30. V = x³, dV/dt = 3x² dx/dt = 3(100)(0.2) = 60 cm³/s.
  31. 2x dx/dt + 2y dy/dt = 0. 2(5)(3)+2(12)dy/dt=0. Hence dy/dt = −5/4 units/s.
  32. dA/dt = 2x dx/dt. 12 = 2(3)dx/dt, so dx/dt = 2 cm/s.
  33. V = 10πr². dV/dt = 20πr dr/dt. 20π = 20π(2)dr/dt, so dr/dt = 1/2 cm/s.
  34. ds/dt = 3t² − 12t + 9; it is the particle’s instantaneous velocity when s is displacement and t is time.
  35. v(2) = 12 − 24 + 9 = −3 distance-units per time-unit; negative sign indicates motion in the negative direction.
  36. The inner function 3x + 1 has derivative 3. Correct derivative: 15(3x + 1)⁴.
  37. Take u = v = x. uv = x² has derivative 2x, but u′v′ = 1. Therefore derivatives cannot simply be multiplied.
  38. Rewrite 5/x³ = 5x−3; derivative −15x−4.
  39. The original function f(x) supplies the point (a,f(a)); the derivative f′(x) supplies the tangent gradient f′(a).
  40. If the tangent is horizontal at x = a, the normal is vertical: x = a.
  41. Substituting r = 5 first turns A into the constant 25π and removes the information that A changes as r changes. Differentiate the variable relationship first.
  42. Because y is a function of t. By Chain Rule, d(y²)/dt = 2y·dy/dt.
  43. A factorised derivative can expose zero factors for stationary-point solving and preserve structure for sign analysis or substitution; it may also reduce algebraic expansion errors.
  44. The graph of y against x converts a small change in x into a local change in y. Geometrically this is tangent gradient; in a contextual dependency it is instantaneous rate of change per unit x.
  45. G3 additionally requires derivatives of sin x, cos x, tan x, ex and ln x; these are not part of the listed G2 derivative family.

23 · A two-week differentiation architecture

Differentiation deteriorates when the learner remembers rules but loses rule selection. Revision should therefore mix structures progressively.

  1. Day 1: power rule across positive, negative and fractional powers.
  2. Day 2: rewriting roots and rational expressions before differentiation.
  3. Day 4: Chain Rule and nested-function recognition.
  4. Day 6: Product and Quotient Rules.
  5. Day 8: mixed rule trees: Product + Chain, Quotient + Chain.
  6. Day 10: tangent and normal equations, including reverse-gradient problems.
  7. Day 12: connected rates with units and sign interpretation.
  8. Day 14: an unlabelled mixed set where rule choice is not supplied by the heading.

Six-minute retrieval test

  • State the power rule.
  • State Product Rule.
  • State Quotient Rule.
  • State Chain Rule in dy/du · du/dx form.
  • Explain how tangent and normal gradients are related.
  • Write the connected-rate chain dy/dt = (dy/dx)(dx/dt).
  • Give one example where simplifying first is better than using a formal rule.

24 · For teachers: teach structure before rule names

A useful classroom routine is to display five expressions and ask students not to differentiate them. Ask only: “What is the outer structure?”

  • x⁵ + 3x² → sum of powers;
  • (3x + 1)⁵ → nested function, Chain Rule;
  • x²(x + 1)⁴ → product outside, chain inside;
  • (x² + 1)/(x − 3) → quotient;
  • 5/x³ → power rewrite, no Quotient Rule needed.

This delays arithmetic and trains routing. Students become much more accurate when the rule tree is settled before the derivative lines begin.

Use the wrong method as contrast

Show why u′v′ cannot be Product Rule using x·x. Show why Chain Rule without the inner derivative fails on (3x + 1)⁵. Show why freezing numerical values before connected-rate differentiation destroys the dependency. Counterexamples turn rules into boundaries rather than slogans.

Keep meaning alive

After a page of symbolic differentiation, return to a graph or rate question. Ask: “What does this derivative tell us?” Without that return, calculus can become an exercise in lowering powers with no sense of why the new function matters.

25 · For parents: what real progress sounds like

A student who is still procedure-dependent may say, “Which differentiation formula is this?” A student gaining control begins to say:

  • “I can expand this first, so I do not need Product Rule.”
  • “The expression is a product on the outside, but one factor needs Chain Rule inside.”
  • “The tangent point comes from the original function; the slope comes from the derivative.”
  • “The normal is perpendicular, so I need the negative reciprocal gradient.”
  • “I cannot substitute the radius yet because the radius is still changing.”
  • “This rate should be negative because the quantity is decreasing.”
  • “The units should be cubic centimetres per second, not centimetres per second.”

That language shows the learner is carrying the dependency structure rather than only the rule names.

26 · What carries forward

The derivative rules built here are only the engine. The next chapter uses the engine to analyse whole functions: increasing and decreasing intervals, stationary points, maximum/minimum turning points, stationary inflexion, second derivatives and optimisation. That corresponds closely to the old textbook’s Chapter 12, Further Applications of Differentiation, and remains shared G2/G3 core in SEC 2027.

After that shared applications chapter, the old textbook’s Chapter 13 becomes a natural G3 extension: derivatives of trigonometric, logarithmic and exponential functions and their applications. This ordering keeps the current subject-level boundary visible while preserving the strong pedagogical progression of the older book.

Chapter 10 mastery checkpoint

  • I can explain the derivative as tangent gradient and instantaneous rate of change.
  • I can read f′(x), dy/dx and second-derivative notation.
  • I can differentiate xn for rational n in the relevant real domain.
  • I can simplify radicals and rational expressions before differentiating when useful.
  • I can use Product Rule and explain why derivatives are not simply multiplied.
  • I can use Quotient Rule with correct order and sign.
  • I can recognise nested functions and include the inner derivative through Chain Rule.
  • I can plan mixed rule trees before calculating.
  • I can find tangent equations from point plus derivative gradient.
  • I can find normal equations and handle horizontal/vertical special cases.
  • I can solve reverse tangent/normal problems by equating f′(x) to a required gradient.
  • I can differentiate connected relationships with respect to time.
  • I keep variables alive until after connected-rate differentiation.
  • I can interpret signs and units of rates.
  • I can verify derivatives using algebraic alternatives, local numerical gradients, graph direction or units.
  • I understand that G3 later extends the derivative family to trigonometric, exponential and logarithmic functions.

Differentiation is mastered when the learner can look at a changing relationship, identify its dependency structure, choose the right derivative route and interpret the result as local change.


Official syllabus references

Curriculum and assessment requirements can change. The official SEAB syllabuses remain the controlling sources for current subject codes, examinable content and examination structure.

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