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Differentiation

Intuition

Differentiation measures how fast something changes: The derivative is the instantaneous rate of change — the slope of the tangent to the curve at any point. If you’re driving a car, your speedometer shows the derivative of your position. If you’re warming water, the thermometer shows the derivative of the temperature. Differentiation captures the “how fast” of any changing quantity.

Why it matters: Differentiation is used to find maximum/minimum values (optimisation), to model rates of change (physics, economics), and to understand the shape of curves (concavity, inflection points). It’s one of the two fundamental operations of calculus.

The key insight: The chain rule is the most powerful differentiation tool. It says that if y=f(g(x))y = f(g(x)), then dydx=f(g(x))g(x)\frac{dy}{dx} = f'(g(x)) \cdot g'(x). This “derivative of the outside times derivative of the inside” rule lets you differentiate any composite function, which covers most real-world applications.

Board Coverage

BoardPaperNotes
AQAPaper 1, 2First principles, rules, applications in P1; chain/product in P2
EdexcelP1, P2Similar split
OCR (A)Paper 1, 2Includes connected rates in P2
CIE (9709)P1, P2, P3Basic differentiation in P1; product/quotient/chain in P2/P3

1. The Derivative from First Principles

1.1 Definition

Definition. The derivative of ff at xx is

f(x)=limh0f(x+h)f(x)hf'(x) = \lim_{h\to 0}\frac{f(x+h)-f(x)}{h}

Provided this limit exists. If it does, we say ff is differentiable at xx.

Geometric interpretation. The quantity f(x+h)f(x)h\dfrac{f(x+h)-f(x)}{h} is the gradient of the secant Line through the points (x,f(x))(x, f(x)) and (x+h,f(x+h))(x+h, f(x+h)). As h0h \to 0This secant approaches the Tangent, so f(x)f'(x) is the gradient of the tangent at xx.


2. Derivative of xnx^n from First Principles

Theorem. For nNn \in \mathbb{N}, ddxxn=nxn1\dfrac{d}{dx}x^n = nx^{n-1}.

Proof. By the limit definition:

f(x)=limh0(x+h)nxnhf'(x) = \lim_{h\to 0}\frac{(x+h)^n - x^n}{h}

Expanding (x+h)n(x+h)^n using the binomial theorem:

(x+h)n=xn+(n1)xn1h+(n2)xn2h2++hn(x+h)^n = x^n + \binom{n}{1}x^{n-1}h + \binom{n}{2}x^{n-2}h^2 + \cdots + h^n

Subtracting xnx^n and dividing by hh:

(x+h)nxnh=(n1)xn1+(n2)xn2h++hn1\frac{(x+h)^n - x^n}{h} = \binom{n}{1}x^{n-1} + \binom{n}{2}x^{n-2}h + \cdots + h^{n-1}

Taking h0h \to 0Every term containing hh vanishes:

f(x)=(n1)xn1=nxn1f'(x) = \binom{n}{1}x^{n-1} = nx^{n-1} \quad \blacksquare

This proof extends to negative and fractional powers using the limit definition with the generalised Binomial theorem or logarithmic differentiation.

Intuition. The power rule says: “bring the power down and reduce it by one.” This works because The leading-order term in (x+h)nxn(x+h)^n - x^n is nxn1hnx^{n-1}hAnd dividing by hh leaves nxn1nx^{n-1}.


3. The Product Rule

Theorem. If u=f(x)u = f(x) and v=g(x)v = g(x) are differentiable, then

ddx(uv)=udvdx+vdudx\frac{d}{dx}(uv) = u\frac{dv}{dx} + v\frac{du}{dx}

3.1 Proof from first principles

Let F(x)=f(x)g(x)F(x) = f(x)g(x). Then:

\begin\{aligned\} F'(x) &= \lim_\{h\to 0\}\frac\{F(x+h)-F(x)\}\{h\} \\ &= \lim_\{h\to 0\}\frac\{f(x+h)g(x+h) - f(x)g(x)\}\{h\} \end\{aligned\}

We add and subtract f(x+h)g(x)f(x+h)g(x):

=limh0f(x+h)g(x+h)f(x+h)g(x)+f(x+h)g(x)f(x)g(x)h= \lim_{h\to 0}\frac{f(x+h)g(x+h) - f(x+h)g(x) + f(x+h)g(x) - f(x)g(x)}{h}

=limh0[f(x+h)g(x+h)g(x)h+g(x)f(x+h)f(x)h]= \lim_{h\to 0}\left[f(x+h)\frac{g(x+h)-g(x)}{h} + g(x)\frac{f(x+h)-f(x)}{h}\right]

Since ff is differentiable (hence continuous), limh0f(x+h)=f(x)\lim_{h\to 0}f(x+h) = f(x):

=f(x)g(x)+g(x)f(x)= f(x) \cdot g'(x) + g(x) \cdot f'(x) \quad \blacksquare

Intuition. Think of the area of a rectangle with sides uu and vv. If uu changes by δu\delta u And vv by δv\delta vThe change in area is approximately vδu+uδvv\,\delta u + u\,\delta v (the two thin Strips along the edges; the corner piece δuδv\delta u\,\delta v is negligible).


4. The Quotient Rule

Theorem. If u=f(x)u = f(x) and v=g(x)v = g(x) are differentiable with v0v \neq 0Then

ddx(uv)=vdudxudvdxv2\frac{d}{dx}\left(\frac{u}{v}\right) = \frac{v\frac{du}{dx} - u\frac{dv}{dx}}{v^2}

4.1 Proof from the product rule

Write uv=uv1\dfrac{u}{v} = u \cdot v^{-1}. Applying the product rule:

ddx(uv)=dudxv1+uddx(v1)\frac{d}{dx}\left(\frac{u}{v}\right) = \frac{du}{dx} \cdot v^{-1} + u \cdot \frac{d}{dx}(v^{-1})

By the chain rule, ddx(v1)=v2dvdx\dfrac{d}{dx}(v^{-1}) = -v^{-2}\dfrac{dv}{dx}:

=1vdudxuv2dvdx=vdudxudvdxv2= \frac{1}{v}\frac{du}{dx} - \frac{u}{v^2}\frac{dv}{dx} = \frac{v\frac{du}{dx} - u\frac{dv}{dx}}{v^2} \quad \blacksquare


5. The Chain Rule

Theorem. If y=f(g(x))y = f(g(x))Then

dydx=dydududx\frac{dy}{dx} = \frac{dy}{du} \cdot \frac{du}{dx}

Where u=g(x)u = g(x).

5.1 Proof (informal)

If xx changes by δx\delta xThen uu changes by approximately g(x)δxg'(x)\,\delta xAnd yy changes By approximately f(u)g(x)δxf'(u) \cdot g'(x)\,\delta x. Dividing by δx\delta x and taking the limit:

dydx=f(g(x))g(x)\frac{dy}{dx} = f'(g(x)) \cdot g'(x)

A fully rigorous proof uses the mean value theorem to handle the case when g(x)=0g'(x) = 0.

Intuition. The chain rule handles composite functions: “differentiate the outer function, then Multiply by the derivative of the inner function.” Think of it as a gearing mechanism: a small turn In xx causes a turn in uuWhich causes a turn in yyAnd the overall effect is the product of The two gear ratios.


6. Derivatives of Standard Functions

6.1 Derivative of sinx\sin x from first principles

Theorem. ddxsinx=cosx\dfrac{d}{dx}\sin x = \cos x.

Proof. Using the limit definition and the compound angle formula sin(α+β)=sinαcosβ+cosαsinβ\sin(\alpha + \beta) = \sin\alpha\cos\beta + \cos\alpha\sin\beta:

\begin\{aligned\} \frac\{d\}\{dx\}\sin x &= \lim_\{h\to 0\}\frac\{\sin(x+h) - \sin x\}\{h\} \\ &= \lim_\{h\to 0\}\frac\{\sin x\cos h + \cos x\sin h - \sin x\}\{h\} \\ &= \lim_\{h\to 0\}\left[\sin x \cdot \frac\{\cos h - 1\}\{h\} + \cos x \cdot \frac\{\sin h\}\{h\}\right] \end\{aligned\}

Using the standard limits limh0sinhh=1\displaystyle\lim_{h\to 0}\frac{\sin h}{h} = 1 and limh0cosh1h=0\displaystyle\lim_{h\to 0}\frac{\cos h - 1}{h} = 0:

=sinx0+cosx1=cosx= \sin x \cdot 0 + \cos x \cdot 1 = \cos x \quad \blacksquare

6.2 Derivative of cosx\cos x

Theorem. ddxcosx=sinx\dfrac{d}{dx}\cos x = -\sin x.

Proof. Write cosx=sin ⁣(π2x)\cos x = \sin\!\left(\dfrac{\pi}{2} - x\right). By the chain rule:

ddxcosx=cos ⁣(π2x)(1)=sinx\frac{d}{dx}\cos x = \cos\!\left(\frac{\pi}{2}-x\right) \cdot (-1) = -\sin x \quad \blacksquare

6.3 Derivative of exe^x

As proved in the Exponentials and Logarithms chapter: ddxex=ex\dfrac{d}{dx}e^x = e^x.

6.4 Derivative of lnx\ln x

From the Fundamental Theorem of Calculus applied to lnx=1x1tdt\ln x = \displaystyle\int_1^x \frac{1}{t}\,dt:

ddxlnx=1x\frac{d}{dx}\ln x = \frac{1}{x}

6.5 Derivative of tanx\tan x

ddxtanx=ddx(sinxcosx)=cosxcosxsinx(sinx)cos2x=cos2x+sin2xcos2x=sec2x\frac{d}{dx}\tan x = \frac{d}{dx}\left(\frac{\sin x}{\cos x}\right) = \frac{\cos x \cdot \cos x - \sin x \cdot (-\sin x)}{\cos^2 x} = \frac{\cos^2 x + \sin^2 x}{\cos^2 x} = \sec^2 x

6.6 Summary table

f(x)f(x)f(x)f'(x)
xnx^nnxn1nx^{n-1}
exe^xexe^x
ekxe^{kx}kekxke^{kx}
lnx\ln x1/x1/x
sinx\sin xcosx\cos x
cosx\cos xsinx-\sin x
tanx\tan xsec2x\sec^2 x

7. Second Derivatives and Stationary Points

7.1 Definition

The second derivative is the derivative of the first derivative:

f(x)=d2ydx2=ddx(dydx)f''(x) = \frac{d^2y}{dx^2} = \frac{d}{dx}\left(\frac{dy}{dx}\right)

7.2 Stationary points

Definition. A point x=ax = a is a stationary point of ff if f(a)=0f'(a) = 0.

There are three types:

TypeConditionShape
Maximumf(a)=0f'(a) = 0, f(a)<0f''(a) \lt 0\cap
Minimumf(a)=0f'(a) = 0, f(a)>0f''(a) \gt 0\cup
Point of inflectionf(a)=0f'(a) = 0, f(a)=0f''(a) = 0 (may be)S-shape

7.3 Proof of the second derivative test (Taylor expansion intuition)

Near a stationary point x=ax = aWe can approximate ff using its Taylor expansion:

f(x)f(a)+f(a)(xa)+f(a)2(xa)2f(x) \approx f(a) + f'(a)(x-a) + \frac{f''(a)}{2}(x-a)^2

Since f(a)=0f'(a) = 0 at a stationary point:

f(x)f(a)f(a)2(xa)2f(x) - f(a) \approx \frac{f''(a)}{2}(x-a)^2

  • If f(a)>0f''(a) \gt 0: f(x)f(a)>0f(x) - f(a) \gt 0 for xax \neq aSo f(a)f(a) is a minimum.
  • If f(a)<0f''(a) \lt 0: f(x)f(a)<0f(x) - f(a) \lt 0 for xax \neq aSo f(a)f(a) is a maximum.
  • If f(a)=0f''(a) = 0: the test is inconclusive; use a nature table or higher derivatives.

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Observe how the Derivative relates to the gradient of the tangent line. Move the point along the curve to see how The tangent changes slope, and note where the derivative is zero at stationary points.

8. Connected Rates of Change

When two quantities are related by an equation, their rates of change are related by the chain rule.

Method:

  1. Write down the relationship between the variables.
  2. Differentiate both sides with respect to tt (time).
  3. Substitute known values and solve for the unknown rate.

Example. The radius rr of a circle increases at 2cm/s2\,\mathrm{cm/s}. Find the rate of change of The area when r=5r = 5.

A=πr2A = \pi r^2. Differentiating with respect to tt:

dAdt=2πrdrdt\frac{dA}{dt} = 2\pi r \frac{dr}{dt}

At r=5r = 5, drdt=2\dfrac{dr}{dt} = 2:

dAdt=2π(5)(2)=20πcm2/s\frac{dA}{dt} = 2\pi(5)(2) = 20\pi \,\mathrm{cm}^2\mathrm{/s}


9. Increasing and Decreasing Functions

Definition.

  • ff is increasing on an interval if f(x)0f'(x) \geq 0 for all xx in that interval.
  • ff is strictly increasing if f(x)>0f'(x) \gt 0 for all xx.
  • ff is decreasing if f(x)0f'(x) \leq 0 for all xx.
  • ff is strictly decreasing if f(x)<0f'(x) \lt 0 for all xx.

Example. Show that f(x)=x33x+2f(x) = x^3 - 3x + 2 is increasing for x>1x \gt 1.

f(x)=3x23=3(x21)=3(x1)(x+1)f'(x) = 3x^2 - 3 = 3(x^2 - 1) = 3(x-1)(x+1).

For x>1x \gt 1: (x1)>0(x-1) \gt 0 and (x+1)>0(x+1) \gt 0So f(x)>0f'(x) \gt 0. Hence ff is strictly Increasing for x>1x \gt 1.


10. Points of Inflection

A point of inflection is where the curve changes concavity (from concave up to concave down, or Vice versa). This occurs where f(x)=0f''(x) = 0 and the sign of f(x)f''(x) changes.


11. Differentiation of Parametric Equations

If x=x(t)x = x(t) and y=y(t)y = y(t)Then

dydx=dy/dtdx/dt\frac{dy}{dx} = \frac{dy/dt}{dx/dt}

Example. x=2costx = 2\cos t, y=2sinty = 2\sin t. Find dydx\dfrac{dy}{dx} at t=π/4t = \pi/4.

dxdt=2sint,dydt=2cost\frac{dx}{dt} = -2\sin t, \quad \frac{dy}{dt} = 2\cos t

dydx=2cost2sint=cott\frac{dy}{dx} = \frac{2\cos t}{-2\sin t} = -\cot t

At t=π/4t = \pi/4: dydx=cot(π/4)=1\dfrac{dy}{dx} = -\cot(\pi/4) = -1.


12. Implicit Differentiation

When yy is defined implicitly by an equation F(x,y)=0F(x,y) = 0Differentiate both sides with respect to xxTreating yy as a function of xx.

Example. Find dydx\dfrac{dy}{dx} where x2+y2=25x^2 + y^2 = 25.

Differentiating: 2x+2ydydx=02x + 2y\dfrac{dy}{dx} = 0So dydx=xy\dfrac{dy}{dx} = -\dfrac{x}{y}.


Problem Set

Problem 1Differentiate f(x)=xf(x) = \sqrt{x} from first principles.

Solution 1f(x)=limh0x+hxhx+h+xx+h+x=limh0(x+h)xh(x+h+x)=limh01x+h+x=12xf'(x) = \lim_{h\to 0}\frac{\sqrt{x+h}-\sqrt{x}}{h} \cdot \frac{\sqrt{x+h}+\sqrt{x}}{\sqrt{x+h}+\sqrt{x}} = \lim_{h\to 0}\frac{(x+h)-x}{h(\sqrt{x+h}+\sqrt{x})} = \lim_{h\to 0}\frac{1}{\sqrt{x+h}+\sqrt{x}} = \frac{1}{2\sqrt{x}}

If you get this wrong, revise: The Derivative from First Principles — Section 1.

Problem 2Find the stationary points of f(x)=x36x2+9x+1f(x) = x^3 - 6x^2 + 9x + 1 and determine their nature.

Solution 2f(x)=3x212x+9=3(x24x+3)=3(x1)(x3)f'(x) = 3x^2 - 12x + 9 = 3(x^2 - 4x + 3) = 3(x-1)(x-3).

Stationary points at x=1x = 1 and x=3x = 3.

f(x)=6x12f''(x) = 6x - 12. At x=1x = 1: f(1)=6<0f''(1) = -6 \lt 0So local maximum. f(1)=16+9+1=5f(1) = 1 - 6 + 9 + 1 = 5. At x=3x = 3: f(3)=6>0f''(3) = 6 \gt 0So local minimum. f(3)=2754+27+1=1f(3) = 27 - 54 + 27 + 1 = 1.

If you get this wrong, revise: Second Derivatives and Stationary Points — Section 7.

Problem 3Differentiate y=x2exsinxy = \dfrac{x^2 e^x}{\sin x}.

Solution 3Let u=x2exu = x^2 e^x and v=sinxv = \sin x.

u=2xex+x2ex=ex(x2+2x)u' = 2xe^x + x^2 e^x = e^x(x^2 + 2x) (product rule). v=cosxv' = \cos x.

dydx=ex(x2+2x)sinxx2excosxsin2x=xex[(x+2)sinxxcosx]sin2x\frac{dy}{dx} = \frac{e^x(x^2+2x)\sin x - x^2 e^x \cos x}{\sin^2 x} = \frac{xe^x[(x+2)\sin x - x\cos x]}{\sin^2 x}

If you get this wrong, revise: The Quotient Rule — Section 4 and The Product Rule — Section 3.

Problem 4Find dydx\dfrac{dy}{dx} where x3+y3=3xyx^3 + y^3 = 3xy.

Solution 4Differentiating implicitly: 3x2+3y2dydx=3y+3xdydx3x^2 + 3y^2\dfrac{dy}{dx} = 3y + 3x\dfrac{dy}{dx}.

3y2dydx3xdydx=3y3x23y^2\frac{dy}{dx} - 3x\frac{dy}{dx} = 3y - 3x^2 dydx(y2x)=yx2\frac{dy}{dx}(y^2 - x) = y - x^2 dydx=yx2y2x\frac{dy}{dx} = \frac{y - x^2}{y^2 - x}

If you get this wrong, revise: Implicit Differentiation — Section 12.

Problem 5A spherical balloon is being inflated at a rate of 100cm3/s100\,\mathrm{cm}^3\mathrm{/s}. Find the rate of increase of the radius when the radius is 5cm5\,\mathrm{cm}.

Solution 5V=43πr3V = \dfrac{4}{3}\pi r^3. Differentiating with respect to tt:

dVdt=4πr2drdt\frac{dV}{dt} = 4\pi r^2 \frac{dr}{dt}

At r=5r = 5 with dVdt=100\dfrac{dV}{dt} = 100:

100=4π(25)drdt    drdt=100100π=1π0.318cm/s100 = 4\pi(25)\frac{dr}{dt} \implies \frac{dr}{dt} = \frac{100}{100\pi} = \frac{1}{\pi} \approx 0.318 \,\mathrm{cm/s}

If you get this wrong, revise: Connected Rates of Change — Section 8.

Problem 6Show that f(x)=ex+exf(x) = e^x + e^{-x} is strictly increasing for x>0x \gt 0.

Solution 6f(x)=exexf'(x) = e^x - e^{-x}.

For x>0x \gt 0: ex>1>exe^x \gt 1 \gt e^{-x}So exex>0e^x - e^{-x} \gt 0. Hence f(x)>0f'(x) \gt 0 for All x>0x \gt 0So ff is strictly increasing on (0,)(0, \infty).

If you get this wrong, revise: Increasing and Decreasing Functions — Section 9.

Problem 7Find the equation of the tangent to y=lnxy = \ln x at the point where x=ex = e.

Solution 7At x=ex = e: y=lne=1y = \ln e = 1. The point is (e,1)(e, 1).

dydx=1x\dfrac{dy}{dx} = \dfrac{1}{x}So at x=ex = e: gradient m=1em = \dfrac{1}{e}.

y1=1e(xe)    y=xey - 1 = \frac{1}{e}(x - e) \implies y = \frac{x}{e}

If you get this wrong, revise: Derivatives of Standard Functions — Section 6.

Problem 8Given x=t2+1x = t^2 + 1 and y=t33ty = t^3 - 3tFind the coordinates of the stationary points and determine their nature.

Solution 8dydx=dy/dtdx/dt=3t232t=3(t21)2t\dfrac{dy}{dx} = \dfrac{dy/dt}{dx/dt} = \dfrac{3t^2 - 3}{2t} = \dfrac{3(t^2-1)}{2t}.

Stationary when dy/dx=0dy/dx = 0: t2=1    t=±1t^2 = 1 \implies t = \pm 1.

t=1t = 1: x = 2$$y = -2. Point (2,2)(2, -2). t=1t = -1: x = 2$$y = 2. Point (2,2)(2, 2).

For nature, check d2ydx2\dfrac{d^2y}{dx^2} or the sign of dydx\dfrac{dy}{dx}:

Near t=1t = 1: for t = 0.5$$\dfrac{dy}{dx} = \dfrac{3(0.25-1)}{1} = -\dfrac{9}{4} \lt 0; for t = 2$$\dfrac{dy}{dx} = \dfrac{3(4-1)}{4} \gt 0. So t=1t=1 is a minimum.

Near t=1t = -1: for t = -2$$\dfrac{dy}{dx} \lt 0; for t = -0.5$$\dfrac{dy}{dx} \gt 0. So t=1t=-1 is a minimum.

If you get this wrong, revise: Differentiation of Parametric Equations — Section 11.

Problem 9Prove that ddxsecx=secxtanx\dfrac{d}{dx}\sec x = \sec x \tan x.

Solution 9secx=1cosx=(cosx)1\sec x = \dfrac{1}{\cos x} = (\cos x)^{-1}.

ddxsecx=(cosx)2(sinx)=sinxcos2x=1cosxsinxcosx=secxtanx\frac{d}{dx}\sec x = -(\cos x)^{-2} \cdot (-\sin x) = \frac{\sin x}{\cos^2 x} = \frac{1}{\cos x} \cdot \frac{\sin x}{\cos x} = \sec x \tan x \quad \blacksquare

If you get this wrong, revise: The Chain Rule — Section 5.

Problem 10Find the minimum value of f(x)=x+4xf(x) = x + \dfrac{4}{x} for x>0x \gt 0.

Solution 10f(x)=14x2=x24x2=0    x2=4    x=2f'(x) = 1 - \dfrac{4}{x^2} = \dfrac{x^2 - 4}{x^2} = 0 \implies x^2 = 4 \implies x = 2 (since x>0x \gt 0).

f(x)=8x3f''(x) = \dfrac{8}{x^3}. At x=2x = 2: f(2)=1>0f''(2) = 1 \gt 0So minimum.

f(2)=2+42=4f(2) = 2 + \dfrac{4}{2} = 4.

If you get this wrong, revise: Second Derivatives and Stationary Points — Section 7.

Problem 11Differentiate y=sin3(2x2+1)y = \sin^3(2x^2 + 1).

Solution 11Let u=sin(2x2+1)u = \sin(2x^2+1)So y=u3y = u^3.

dydu=3u2\dfrac{dy}{du} = 3u^2, dudx=cos(2x2+1)4x\dfrac{du}{dx} = \cos(2x^2+1) \cdot 4x.

dydx=3sin2(2x2+1)cos(2x2+1)4x=12xsin2(2x2+1)cos(2x2+1)\frac{dy}{dx} = 3\sin^2(2x^2+1) \cdot \cos(2x^2+1) \cdot 4x = 12x\sin^2(2x^2+1)\cos(2x^2+1)

If you get this wrong, revise: The Chain Rule — Section 5.

Problem 12Find the points of inflection of f(x)=x44x3+6x24x+1f(x) = x^4 - 4x^3 + 6x^2 - 4x + 1.

Solution 12f(x)=4x312x2+12x4f'(x) = 4x^3 - 12x^2 + 12x - 4. f(x)=12x224x+12=12(x22x+1)=12(x1)2f''(x) = 12x^2 - 24x + 12 = 12(x^2 - 2x + 1) = 12(x-1)^2.

f(x)=0f''(x) = 0 when x=1x = 1. But f(x)=12(x1)20f''(x) = 12(x-1)^2 \geq 0 for all xx — the second derivative does not change sign at x=1x = 1. So there is no point of inflection.

(Note: f(x)=(x1)4f(x) = (x-1)^4Which is concave up everywhere.)

If you get this wrong, revise: Points of Inflection — Section 10.

Problem 13A curve has equation y=2x+1x3y = \dfrac{2x+1}{x-3}. Find the equations of the asymptotes and the coordinates of any stationary points.

Solution 13Vertical asymptote: x=3x = 3 (where denominator is zero).

As x±x \to \pm\infty: y2y \to 2. Horizontal asymptote: y=2y = 2.

y=2(x3)(2x+1)(x3)2=7(x3)2y' = \dfrac{2(x-3) - (2x+1)}{(x-3)^2} = \dfrac{-7}{(x-3)^2}.

Since y<0y' \lt 0 for all x3x \neq 3There are no stationary points. The function is strictly Decreasing on each branch.

If you get this wrong, revise: The Quotient Rule — Section 4 and Stationary Points — Section 7.2.

Problem 14Water flows into a cone of height hh and base radius rr at a rate of 5cm3/s5\,\mathrm{cm}^3\mathrm{/s}. The cone has semi-vertical angle 3030^\circ. Find dh/dtdh/dt when h=10cmh = 10\,\mathrm{cm}.

Solution 14With semi-vertical angle 3030^\circ: r=htan30°=h/3r = h\tan 30° = h/\sqrt{3}.

V=13πr2h=13πh23h=πh39V = \dfrac{1}{3}\pi r^2 h = \dfrac{1}{3}\pi \dfrac{h^2}{3} h = \dfrac{\pi h^3}{9}.

dVdt=πh23dhdt\frac{dV}{dt} = \frac{\pi h^2}{3} \cdot \frac{dh}{dt}

At h=10h = 10 with dV/dt=5dV/dt = 5:

5=100π3dhdt    dhdt=15100π=320π0.0478cm/s5 = \frac{100\pi}{3} \cdot \frac{dh}{dt} \implies \frac{dh}{dt} = \frac{15}{100\pi} = \frac{3}{20\pi} \approx 0.0478 \,\mathrm{cm/s}

If you get this wrong, revise: Connected Rates of Change — Section 8.


Cross-References

  • Integration — Integration reverses differentiation, and the Fundamental Theorem of Calculus connects rates of change to accumulated areas.
  • Trigonometry — Derivatives of sin\sin, cos\cos, and tan\tan rely on compound angle identities and small angle approximations.
  • Exponentials and Logarithms — The derivative of exe^x is exe^x, and logarithmic differentiation handles variable-base exponentials.
  • Numerical Methods — Newton-Raphson uses the derivative to find roots, and the convergence rate depends on the second derivative.