90 key points across 13 chapters — the results, definitions and standard steps worth having by heart.
Chapter 1. Relations and Functions
9 key points
Reflexivity must hold for every element of the set — a single missing pair (a,a) destroys it.
This is the most commonly missed condition. On A = \{1,2,3\}, the relation \{(1,1),(2,2)\} is not reflexive because (3,3) is absent.
The empty relation on a non-empty set is symmetric and transitive, but never reflexive.
Symmetry and transitivity are conditional statements with no cases to check, so they hold vacuously. Reflexivity demands something exist, so it fails.
The universal relation A \times A is always an equivalence relation.
To show a relation is transitive you must check every chain; to show it is not, one broken chain suffices.
Write the counter-example explicitly: state (a,b) and (b,c) in R, and point out that (a,c) is not.
Equivalence classes are either identical or completely disjoint — they never partially overlap.
Whether a function is onto depends on the codomain you were given, not on the formula alone.
f(x) = x^2 is not onto from \mathbb{R} to \mathbb{R}, but is onto from \mathbb{R} to [0,\infty).
A strictly increasing or strictly decreasing function is automatically one-one.
This is often the quickest justification available: show f'(x) > 0 throughout and injectivity follows.
For a function from a finite set to itself, one-one and onto are equivalent. For infinite sets they are not.
f : \mathbb{N} \to \mathbb{N}, f(n) = n+1, is one-one but misses 1, so it is not onto.
A function is invertible exactly when it is bijective — this is what makes the next chapter possible.
Chapter 2. Inverse Trigonometric Functions
7 key points
\cos^{-1}, \cot^{-1} and \sec^{-1} never return a negative value — their ranges lie inside [0, \pi].
So an answer of -\frac{\pi}{3} for a \cos^{-1} expression is wrong before you check anything else.
\sin^{-1}(\sin x) = x only when x \in \left[-\frac{\pi}{2}, \frac{\pi}{2}\right].
Outside the branch, find the angle inside the branch with the same sine. \sin^{-1}\!\left(\sin\frac{3\pi}{4}\right) = \frac{\pi}{4}.
\sin^{-1}x is not \dfrac{1}{\sin x} — the -1 is not an exponent.
The reciprocal of \sin x is \csc x, an entirely different function.
\sin^{-1}x + \cos^{-1}x = \dfrac{\pi}{2} for every x \in [-1,1].
A frequently useful identity, and a quick check: if you have found both values, they should add to \frac{\pi}{2}.
\tan^{-1}x approaches \pm\frac{\pi}{2} but never attains them — the range is an open interval.
\sin^{-1}x is undefined for |x| > 1. Watch for questions whose arguments quietly exceed 1.
y = \cos^{-1}x and y = \cot^{-1}x are decreasing functions; the other four inverse functions increase.
Chapter 3. Matrices
8 key points
Matrix multiplication is not commutative: AB \neq BA in general, and often only one product is even defined.
Always check orders first. If A is 2\times3 and B is 3\times2, then AB is 2\times2 but BA is 3\times3 — different matrices entirely.
AB = O does not imply A = O or B = O.
Matrices have zero divisors, unlike real numbers. This is why factorising a matrix equation to zero proves nothing on its own.
Cancellation is invalid: AB = AC does not give B = C unless A is invertible.
Every diagonal entry of a skew-symmetric matrix is zero.
From a_{ii} = -a_{ii} we get 2a_{ii} = 0. Use it as an instant check on your skew-symmetric part.
(AB)^{T} = B^{T}A^{T} and (AB)^{-1} = B^{-1}A^{-1} — both reverse the order.
Addition requires the two matrices to have exactly the same order; multiplication does not.
This asymmetry is the source of many order errors — the rules for the two operations are genuinely different.
The identity matrix I satisfies AI = IA = A — it is the one matrix that does commute with everything of its order.
Two matrices are equal only when they have the same order and every corresponding entry matches.
Chapter 4. Determinants
7 key points
A^{-1} exists if and only if |A| \neq 0.
So computing |A| first tells you whether there is any point continuing.
The adjoint is the transpose of the cofactor matrix, not the cofactor matrix itself.
Expand along whichever row or column has the most zeros — each zero kills an entire cofactor term.
|kA| = k^{n}|A| for an n \times n matrix, not k|A|.
The scalar comes out of each of the n rows separately. For a 3\times3, |2A| = 8|A|.
Area must be positive — take the absolute value of the determinant before halving.
If |A| = 0, the system AX = B has either no solution or infinitely many — never exactly one.
Compute (\operatorname{adj} A)B: if it is not the zero matrix the system is inconsistent; if it is, there are infinitely many solutions.
Determinants multiply: |AB| = |A||B|, even though AB \neq BA in general.
Chapter 5. Continuity and Differentiability
7 key points
Differentiability implies continuity, but continuity does not imply differentiability.
f(x) = |x| is continuous at 0 but has no derivative there.
For a piecewise function, always compute LHL, RHL and f(a) separately and compare all three.
A function that is discontinuous at a point cannot be differentiable there — say so and stop.
In logarithmic differentiation, the left side becomes \dfrac{1}{y}\dfrac{dy}{dx}, not \dfrac{dy}{dx}.
Always substitute y back in terms of x at the end of logarithmic or implicit differentiation.
For a sum such as x^{x} + x^{\sin x}, differentiate each term separately — \ln(a+b) does not simplify.
For parametric second derivatives, remember the final factor \dfrac{1}{dx/dt}.
\dfrac{d^2y}{dx^2} \neq \dfrac{d}{dt}\left(\dfrac{dy}{dx}\right) — the chain rule demands one more step.
Chapter 6. Application of Derivatives
7 key points
f'(c) = 0 makes c a candidate, not automatically an extremum — it may be a point of inflection.
f(x) = x^{3} has f'(0) = 0, yet x = 0 is neither a maximum nor a minimum.
For absolute extrema on a closed interval, always evaluate at the endpoints as well.
If f''(c) = 0, the second derivative test says nothing — switch to the first derivative test.
Reduce an optimisation problem to a single variable using the constraint before differentiating.
State the domain of the variable in an applied problem — lengths and radii are positive.
In related-rates questions, differentiate with respect to time and use the chain rule throughout.
'Strictly increasing' needs f'(x) > 0; f'(x) \geq 0 only gives 'increasing' (non-decreasing).
Chapter 7. Integrals
8 key points
Never omit the constant of integration C in an indefinite integral.
\displaystyle\int \frac{1}{x}\,dx = \ln|x| + C — the modulus is part of the answer.
When substituting in a definite integral, change the limits to match the new variable.
Either convert the limits, or convert back to the original variable before substituting. Doing neither is a common and costly error.
Choose u for integration by parts using ILATE.
Inverse trigonometric, Logarithmic, Algebraic, Trigonometric, Exponential — earliest in the list becomes u.
Check whether \int_{-a}^{a} has an odd integrand — if so the answer is 0 with no work at all.
Before using partial fractions, confirm the degree of the numerator is less than that of the denominator; otherwise divide first.
For \int \frac{dx}{ax^2+bx+c}, complete the square to reach one of the standard forms.
\displaystyle\int e^{x}[f(x) + f'(x)]\,dx = e^{x}f(x) + C — recognising this shape saves a full round of integration by parts.
Chapter 8. Application of Integrals
6 key points
Always sketch the region before writing any integral.
The sketch fixes the limits, identifies which curve is on top, and reveals any crossing of the axis.
If the curve crosses the x-axis inside the interval, split the integral there and add the absolute values.
Integrating straight through lets the positive and negative parts cancel, understating the area.
Area is always positive. A negative result means the region lies below the axis — take the modulus.
For area between curves, subtract lower from upper — and check which is which on the interval concerned.
Exploit symmetry for circles and ellipses: compute one quadrant and multiply.
Find the limits by solving the curves simultaneously, not by reading them off the question.
Chapter 9. Differential Equations
7 key points
Classify before solving: separable, homogeneous, or linear. The form dictates the method.
Degree is undefined when a derivative sits inside a transcendental function or a radical.
\sin\!\left(\frac{dy}{dx}\right) + y = 0 has order 1 but no degree.
In the substitution y = vx, the product rule gives \dfrac{dy}{dx} = v + x\dfrac{dv}{dx}.
The equation must be in the exact form \dfrac{dy}{dx} + Py = Q before you read off P.
If the coefficient of \frac{dy}{dx} is not 1, divide through first.
Do not add a constant when computing the integrating factor.
A general solution of an nth-order equation contains exactly n arbitrary constants; a particular solution has none.
After solving a homogeneous equation, substitute v = \dfrac{y}{x} back — the answer must be in x and y.
Chapter 10. Vector Algebra
6 key points
The dot product gives a scalar; the cross product gives a vector. Check your answer is the right kind of object.
\vec{a}\cdot\vec{b} = 0 means perpendicular; \vec{a}\times\vec{b} = \vec{0} means parallel.
Both require the vectors to be non-zero for the conclusion to follow.
The cross product is anti-commutative: reversing the order reverses the direction.
The area of a triangle carries a factor \frac{1}{2}; the area of a parallelogram does not.
A projection is a signed scalar and may be negative — do not take its modulus unless asked.
Direction cosines always satisfy l^{2}+m^{2}+n^{2}=1; direction ratios need not.
Use the identity as a check on any set of direction cosines you compute.
Chapter 11. Three Dimensional Geometry
6 key points
Two lines in space may intersect, be parallel, or be skew — skew is the case with no plane containing both.
If the shortest distance between two lines comes out as zero, the lines intersect.
Check whether the direction vectors are parallel before choosing a distance formula.
The skew formula divides by \left|\vec{b_1}\times\vec{b_2}\right|, which is zero for parallel lines.
Use the modulus in the angle formula — the angle between two lines is taken to be acute.
In the Cartesian form, the denominators are the direction ratios; the numerators must be x - x_1, not x + x_1.
Direction ratios are not unique — any non-zero multiple describes the same direction.
Chapter 12. Linear Programming
6 key points
The optimum always occurs at a corner point of the feasible region.
For an unbounded region, a corner value is only the optimum if the extra half-plane test passes.
Check whether ax+by > M (for a maximum) meets the region. If it does, no maximum exists.
Never omit the non-negativity constraints x \geq 0, y \geq 0 from the formulation.
Find corner points by solving the boundary lines simultaneously — do not read them off the sketch.
If two adjacent corners give the same optimal value, every point on the segment between them is optimal.
Use the origin to test which side of a line to shade, unless the line passes through the origin.
Chapter 13. Probability
6 key points
P(A \mid B) and P(B \mid A) are different — the event already known goes after the bar.
Independent and mutually exclusive are not the same thing, and for events of non-zero probability they are incompatible.
Mutually exclusive means P(A\cap B) = 0; independent means P(A\cap B) = P(A)P(B), which is non-zero when both are.
In total probability and Bayes' theorem, the causes must be mutually exclusive and exhaustive.
Check that the prior probabilities sum to 1.
The denominator in Bayes' theorem is the total probability of the observed event.
Name the events in words before writing any numbers — most errors in this chapter are set-up errors.
For 'at least one', it is nearly always faster to compute the complement.