Let f be defined on an open interval containing aExcept possibly at a itself. We write x→alimf(x)=L if for every ε>0There exists a δ>0 such that:
0<∣x−a∣<δ⟹∣f(x)−L∣<ε
Limit Laws
If x→alimf(x)=L and x→alimg(x)=MThen:
limx→a[f(x)+g(x)]=L+M
limx→a[f(x)⋅g(x)]=L⋅M
limx→ag(x)f(x)=ML,M=0
limx→a[f(x)]n=Ln,n∈Z+
One-Sided Limits
A two-sided limit exists if and only if both one-sided limits exist and are equal:
limx→af(x)=L⟺limx→a−f(x)=limx→a+f(x)=L
Indeterminate Forms
Expressions of the form \dfrac{0}{0}$$\dfrac{\infty}{\infty}$$0 \cdot \infty\infty - \infty$$1^\infty$$0^0And ∞0 are indeterminate — the limit may or may Not exist, and algebraic manipulation or l’H^opital’s rule is required.
Common Limits
Limit
Value
x→0limxsinx
1
x→0limx1−cosx
0
x→∞lim(1+x1)x
e
x→0limxex−1
1
x→0limxln(1+x)
1
Continuity
Definition
A function f is continuous ata if and only if all three conditions hold:
f(a) is defined
x→alimf(x) exists
x→alimf(x)=f(a)
Intermediate Value Theorem
If f is continuous on [a,b] and k is any value between f(a) and f(b)Then there exists At least one c∈(a,b) such that f(c)=k.
This theorem underpins the bisection method for root-finding and guarantees that a continuous Function on a closed interval attains every intermediate value.
Types of Discontinuity
Type
Description
Example
Removable
Limit exists but f(a) is undefined or differs from the limit
f(x)=x−1x2−1 at x=1
Jump
One-sided limits exist but are unequal
f(x)=⌊x⌋ at integer points
Infinite
Function tends to ±∞ near a
f(x)=x1 at x=0
Oscillatory
Function oscillates without settling
f(x)=sin(x1) at x=0
Differentiation
Definition from First Principles
The derivative of f at a is:
f′(a)=limh→0hf(a+h)−f(a)
Provided this limit exists. When it does, f is said to be differentiable at a.
Differentiability implies continuity, but continuity does not imply differentiability. The function f(x)=∣x∣ is continuous everywhere but not differentiable at x=0.
Differentiation Rules
Power rule. For n∈R:
dxd[xn]=nxn−1
Constant multiple and sum rules:
dxd[cf(x)]=cf′(x),dxd[f(x)±g(x)]=f′(x)±g′(x)
Product rule:
dxd[uv]=u′v+uv′
Quotient rule:
dxd[vu]=v2u′v−uv′,v=0
Chain rule. If y=f(g(x))Then:
dxdy=f′(g(x))⋅g′(x)
Derivatives of Standard Functions
f(x)
f′(x)
ex
ex
ax
axlna
lnx
x1
sinx
cosx
cosx
−sinx
tanx
sec2x
arcsinx
1−x21
arccosx
1−x2−1
arctanx
1+x21
Implicit Differentiation
When a relation between x and y cannot be solved for yDifferentiate both sides with Respect to xTreating y as a function of x. Every occurrence of y produces a factor of dxdy via the chain rule.
The second derivative f′′(x)=dx2d2y is the derivative of f′(x). Higher-order Derivatives f(n)(x) are defined recursively. The second derivative governs concavity: f′′(x)>0 implies concave up; f′′(x)<0 implies concave down.
Applications of Differentiation
Function and Its Derivative
Stationary Points
A stationary point occurs where f′(x)=0. The second derivative test classifies them:
f′(a)=0 and f′′(a)>0: local minimum
f′(a)=0 and f′′(a)<0: local maximum
f′(a)=0 and f′′(a)=0: test is inconclusive; use the first derivative test
Optimisation
To solve optimisation problems:
Identify the quantity to be maximised or minimised as a function of a single variable.
Determine the domain of the function from the problem constraints.
Find stationary points by setting the derivative to zero.
Verify the nature of each stationary point (second derivative test or sign analysis).
Check endpoints and boundary values.
Related Rates
When two or more quantities vary with time and are related by an equation, their rates of change are Related by implicit differentiation with respect to time t.
Example. A spherical balloon is inflated at dtdV=100cm3/s. Find dtdr when r=5cm.
Since V=34πr3Differentiating: dtdV=4πr2dtdr. Substituting: 100=4π(25)dtdrSo dtdr=π1cm/s.
Curve Sketching
Systematic curve sketching involves:
Domain and intercepts: where f(x) is defined; x- and y-intercepts.
Symmetry: even (f(−x)=f(x)), odd (f(−x)=−f(x)), periodic.
Theorem. Let u=g(x) where g′ is continuous and f is continuous on the range of g. Then:
∫f(g(x))g′(x)dx=∫f(u)du
Strategy. Identify an “inner function” and its derivative as a factor. Substitute u=g(x) Replace dx with g′(x)duAnd integrate with respect to u.
Example. Evaluate ∫2xx2+1dx.
Let u=x2+1So du=2xdx. Then:
∫2xx2+1dx=∫udu=32u3/2+C=32(x2+1)3/2+C
Integration by Parts
Theorem. If u and v are differentiable functions:
∫udv=uv−∫vdu
LIATE priority for choosing u: Logarithmic, Inverse trigonometric, Algebraic, Trigonometric, Exponential. Choose u as the function that appears highest on this list.
Example. Evaluate ∫xexdx.
Let u = x$$dv = e^x\,dx. Then du = dx$$v = e^x:
∫xexdx=xex−∫exdx=xex−ex+C=(x−1)ex+C
Repeated Integration by Parts
For integrals such as ∫xnexdx or ∫xnsinxdxApply integration by parts Repeatedly. Tabular (DI) integration provides a systematic shortcut: differentiate the algebraic Factor until it reaches zero, integrate the other factor, and alternate signs.
Volumes of Revolution
About the x-axis. Rotating y=f(x) about the x-axis from x=a to x=b:
V=π∫ab[f(x)]2dx
About the y-axis. Rotating x=g(y) about the y-axis from y=c to y=d:
V=π∫cd[g(y)]2dy
Cylindrical shells (rotating about the y-axis):
V=2π∫abx∣f(x)∣dx
Improper Integrals
An improper integral involves an infinite limit of integration or an unbounded integrand. Evaluate As a limit:
∫a∞f(x)dx=limb→∞∫abf(x)dx
The integral converges if this limit exists (is finite); otherwise it diverges.
Common Pitfalls
Forgetting the chain rule. When differentiating composite functions, always identify the inner function and multiply by its derivative.
Sign errors in the quotient rule. Remember: u′v−uv′Not uv′−u′v. A mnemonic: “low d-high minus high d-low, over the square of what’s below.”
Dropping the +C. Every indefinite integral requires an arbitrary constant.
Integration by parts choice. Choosing the wrong factor for u can lead to a more complicated integral. Follow the LIATE rule.
Incorrect limits after substitution. When using substitution in a definite integral, either transform the limits to the new variable or back-substitute before evaluating.
Volume formula confusion. Ensure the correct axis of rotation is used. The variable in the integrand corresponds to the axis perpendicular to the one of rotation.
Treating dxdy as a fraction in implicit differentiation. While the notation suggests a ratio, it is a limit. Manipulations such as cross-multiplying are justified by the chain rule, not by treating derivatives as fractions.
Practice Problems
Problem 1
Evaluate x→0lim2xsin3x.
Problem 2
Find dxdy when x3+y3−3xy=0.
Problem 3
A rectangular box with a square base has a surface area of 150cm2. Find the dimensions That maximise the volume.
Problem 4
Evaluate ∫01x2+1xdx.
Problem 5
Evaluate ∫x2e−xdx using integration by parts.
Problem 6
Find the volume generated when the region bounded by y=x, x=4And the x-axis is Rotated 360∘ about the x-axis.
Problem 7
Determine whether ∫1∞xp1dx converges or diverges for p>0.
Problem 8
Prove that f(x)=x3−3x+1 has exactly one root in the interval (1,2).
Answers to Selected Problems
Problem 1:x→0lim2xsin3x=x→0lim23⋅3xsin3x=23⋅1=23.
Problem 2: Differentiating implicitly: 3x2+3y2dxdy−3y−3xdxdy=0. Factoring out dxdy: dxdy(3y2−3x)=3y−3x2So dxdy=y2−xy−x2.
Problem 3: Let base side =x and height =h. Surface area: 2x2+4xh=150So h=2x75−x2. Volume V=x2h=275x−x3. Setting dxdV=275−3x2=0 gives x=5cm, h=5cm. Second Derivative V′′=−3x is negative at x=5Confirming a maximum. Maximum volume is 125cm3.
Problem 4: Let u=x2+1, du=2xdx. ∫01x2+1xdx=21∫12u−1/2du=[u]12=2−1.
Problem 5: Using tabular integration: differentiate x2→2x→2→0Integrate e−x→−e−x→e−x→−e−x. Result: −x2e−x−2xe−x−2e−x+C=−(x2+2x+2)e−x+C.
Problem 7:∫1∞xp1dx=[1−px1−p]1∞. For p>1: =0−1−p1=p−11 (converges). For p=1: ∫1∞x1dx=b→∞limlnb=∞ (diverges). For 0<p<1: x1−p→∞ (diverges). Converges if and only if p>1.
Problem 8:f(1)=−1<0 and f(2)=3>0. By the Intermediate Value Theorem, a root Exists in (1,2). Since f′(x)=3x2−3=3(x−1)(x+1)>0 for all x∈(1,2), f is Strictly increasing on [1,2]So the root is unique.
Worked Examples
Worked Example: Evaluating a Limit Using L’Hopital’s Rule
Evaluate x→0limx2e3x−1−3x.
Solution
As x→0Both numerator and denominator approach 0So we have the indeterminate form 00. Apply l’H^opital’s rule once:
limx→02x3e3x−3
This still gives 00So apply l’H^opital’s rule a second time:
limx→029e3x=29
Worked Example: Curve Sketching with Full Analysis
Sketch the curve y=x2−1x2−4Identifying all asymptotes, stationary points, and Intervals of increase and decrease.
Asymptotes. Vertical: x=1 and x=−1 (denominator zero, numerator nonzero). Horizontal: since Degree of numerator equals degree of denominator, y=11=1.
Derivative. By the quotient rule:
dxdy=(x2−1)22x(x2−1)−(x2−4)(2x)=(x2−1)26x
Stationary points.dxdy=0⟹x=0. Substituting: y=4. The second derivative At x=0 is negative (since y′′=(x2−1)46(x2−1)2−6x⋅2(x2−1)⋅2x Evaluated at x=0 gives y′′=16=6>0), confirming a local minimum at (0,4).
Intervals.dxdy<0 for x<0 (decreasing), dxdy>0 for x>0 (increasing), within each branch.
Worked Example: Integration by Parts with Definite Integral
Evaluate ∫0π/2xcosxdx.
Solution
Let u = x$$dv = \cos x\,dx. Then du = dx$$v = \sin x.
∫0π/2xcosxdx=[xsinx]0π/2−∫0π/2sinxdx
=2π⋅1−0−[−cosx]0π/2=2π−(0−1)=2π+1
Worked Example: Volume of Revolution with Shells
Find the volume generated when the region bounded by y=x2, y=0And x=2 is rotated 360∘ About the y-axis.
Solution
Using cylindrical shells about the y-axis:
V=2π∫02x⋅x2dx=2π∫02x3dx=2π[4x4]02=2π⋅4=8π
Worked Example: Implicit Differentiation and Second Derivative
Given x3+y3=6xyFind dxdy and dx2d2y at the point (3,3).
Solution
Differentiating implicitly with respect to x:
3x2+3y2dxdy=6y+6xdxdy
Rearranging: dxdy(3y2−6x)=6y−3x2So
dxdy=3y2−6x6y−3x2=y2−2x2y−x2
At (3,3): dxdy=9−66−9=3−3=−1.
For the second derivative, differentiate dxdy using the quotient rule, then substitute x=3, y=3And dxdy=−1. Alternatively, start from
(3y2−6x)dxdy=6y−3x2
Differentiating both sides:
6y(dxdy)2+(3y2−6x)dx2d2y−6=6dxdy−6x
At (3,3) with dxdy=−1:
6(3)(1)+3⋅dx2d2y−6=−6−18
18+3dx2d2y−6=−24
3dx2d2y=−36⟹dx2d2y=−12
Additional Common Pitfalls
L’H^opital’s rule overuse. Only apply when the limit is genuinely indeterminate (00 or ∞∞). Applying it to determinate forms produces incorrect results.
Second derivative test inconclusiveness. When f′′(a)=0The test fails. Use a sign chart of f′ around a (the first derivative test) to classify the stationary point.
Area vs. Signed integral.∫abf(x)dx gives the signed area. When the curve crosses the x-axis, split the integral at each root and take absolute values to find total enclosed area.
Forgetting substitution limits. In ∫abf(g(x))g′(x)dxIf you substitute u=g(x)Change the limits to g(a) and g(b). Failing to do so and using the original limits gives the wrong answer.
Chain rule on trigonometric functions.dxd[sin(f(x))]=f′(x)cos(f(x))Not cos(f(x)). Students frequently omit the inner derivative factor.
Power rule for negative exponents.dxd[x−3]=−3x−4Not −3x−2. Subtract one from the exponent, then multiply by the original exponent.
Exam-Style Problems
Problem 9
Evaluate x→∞lim(2x−53x+1)x.
Problem 10
Find the coordinates of the point on the curve y=x2+11 where the tangent is parallel to The line x+8y=1.
Problem 11
Evaluate ∫0π/4sec2xetanxdx.
Problem 12
A cylindrical can with radius r and height h has volume V=πr2h=500cm3. Find the Values of r and h that minimise the surface area A=2πr2+2πrh.
Problem 13
Use the substitution x=3sinθ to evaluate ∫039−x2dx.
Problem 14
Find the equation of the normal to the curve y=x2e−x at the point where x=1.
Problem 15
Show that ∫01x2+4xdx=21ln(45).
Answers to Additional Problems
Problem 9: Write (2x−53x+1)x=exp(xln2x−53x+1). As x→∞, 2x−53x+1→23And xln(23+2(2x−5)13)≈x⋅3(2x)13=613. The limit is e13/6.
Problem 10: The line x+8y=1 has gradient −81. Differentiating: dxdy=(x2+1)2−2x. Setting =−81: (x2+1)216x=1⟹(x2+1)2=16x. Solving: x4+2x2−16x+1=0. By inspection x=1 is a root: 1+2−16+1=−12=0. Trying x=21: 161+21−8+1=0. Since dxdy=−81 at x=2: 2516=1. At x=1: 42=21=81. At x=32−1 check numerically: x≈0.26, dxdy≈−0.48. Solving Numerically gives x≈0.065 and x≈1.48. At x=1.48: dxdy≈−0.124 Close to −81=−0.125.
Problem 11: Let u=tanxSo du=sec2xdx. Limits: x=0⟹u=0; x=π/4⟹u=1. ∫01eudu=[eu]01=e−1.
Problem 12: From V=500: h=πr2500. Then A=2πr2+r1000. drdA=4πr−r21000=0⟹r3=π250⟹r=(π250)1/3≈4.30cm. Then h=πr2500=2r≈8.60cm. Checking A′′=4π+r32000>0 Confirming a minimum.
Problem 13: Let x = 3\sin\theta$$dx = 3\cos\theta\,d\theta. When x = 0$$\theta = 0; when x=3θ=π/2. ∫0π/23cosθ3cosθdθ=∫0π/2dθ=2π.
Problem 14:y = x^2 e^{-x}$$\dfrac{dy}{dx} = 2xe^{-x} - x^2 e^{-x} = e^{-x}(2x - x^2). At x=1: y = e^{-1} = \dfrac{1}{e}$$\dfrac{dy}{dx} = e^{-1}(2 - 1) = \dfrac{1}{e}. Normal gradient =−e. Normal equation: y−e1=−e(x−1)I.e. y=−ex+e+e1.
Problem 15: Let u = x^2 + 4$$du = 2x\,dx. ∫01x2+4xdx=21∫45udu=21[lnu]45=21ln(45).
If You Get These Wrong, Revise:
Differentiation rules and chain rule → Review Calculus (sections on Differentiation Rules and Implicit Differentiation)
Integration techniques → Review Calculus (sections on Substitution and Integration by Parts)
Trigonometric identities → Review the geometry and trigonometry topics in this subject
Exponential and logarithmic functions → Review algebra and functions material
Curve sketching fundamentals → Review Calculus (section on Curve Sketching)
Related Content at Other Levels
A-Level Differentiation and Integration:Mathematics