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Key Points

Short, exam-oriented reminders for every chapter. Tap to expand.

1. Relations and Functions

Proving vs disproving

Relations and Functions · Types of Relations

Prove a property with arbitrary elements; disprove it with a single concrete counter-example.

Empty and universal relations

Relations and Functions · Types of Relations

On a non-empty set, the empty relation is symmetric and transitive but not reflexive; the universal relation \(A\times A\) is an equivalence relation.

Classes partition the set

Relations and Functions · Equivalence Relations

Equivalence classes are either identical or disjoint, and their union is the whole set.

Domain and codomain decide the type

Relations and Functions · One-One and Onto Functions

\(x\mapsto x^2\): neither on \(\mathbb{R}\to\mathbb{R}\); one-one but not onto on \(\mathbb{N}\to\mathbb{N}\); bijective on \([0,\infty)\to[0,\infty)\).

Horizontal line test

Relations and Functions · One-One and Onto Functions

One-one: every horizontal line cuts the graph at most once. Onto: every horizontal line at a codomain height cuts it at least once.

2. Inverse Trigonometric Functions

Principal value lives in the branch

Inverse Trigonometric Functions · Domain, Range and Principal Value Branches

\(\sin^{-1}(\sin\frac{5\pi}{6})=\frac\pi6\), because \(\frac{5\pi}{6}\notin[-\frac\pi2,\frac\pi2]\) and \(\sin\frac{5\pi}6=\sin\frac\pi6\).

Domain of sin⁻¹(g(x))

Inverse Trigonometric Functions · Domain, Range and Principal Value Branches

Solve \(-1\le g(x)\le 1\). For \(\sec^{-1}(g(x))\) solve \(|g(x)|\ge1\).

Monotonicity

Inverse Trigonometric Functions · Graphs of Inverse Trigonometric Functions

\(\sin^{-1},\tan^{-1}\) increase; \(\cos^{-1},\cot^{-1}\) decrease. Extreme values of expressions follow from the endpoints of the ranges.

3. Matrices

Order is rows × columns

Matrices · Matrices and Their Types

Always state order as (rows) × (columns). A \(2\times3\) and a \(3\times2\) matrix are different.

AB ≠ BA in general

Matrices · Operations on Matrices

Never assume matrices commute. Keep the order of factors in every step.

No cancellation law

Matrices · Operations on Matrices

\(AB = AC\) does not imply \(B = C\), and \(AB = O\) does not imply \(A = O\) or \(B = O\).

Skew-symmetric ⇒ zero diagonal

Matrices · Symmetric and Skew-Symmetric Matrices

From \(a_{ii} = -a_{ii}\), every diagonal entry of a skew-symmetric matrix is 0.

Counting free entries

Matrices · Symmetric and Skew-Symmetric Matrices

An \(n\times n\) symmetric matrix is fixed by \(\frac{n(n+1)}{2}\) entries; a skew-symmetric one by \(\frac{n(n-1)}{2}\) entries (its diagonal is zero).

Only square matrices have inverses

Matrices · Invertible Matrices

Inverse needs AB = BA = I, which requires square matrices of the same order.

Using a matrix equation to find the inverse

Matrices · Invertible Matrices

If \(A^2-3A+2I=O\) then \(A(3I-A)=2I\), so \(A^{-1}=\tfrac12(3I-A)\). Multiply the equation by \(A^{-1}\) whenever the constant term is non-zero.

4. Determinants

Invertible ⇔ non-zero determinant

Determinants · Determinant of a Square Matrix

A square matrix is invertible exactly when \(|A| \ne 0\).

Expand along zeros

Determinants · Determinant of a Square Matrix

Choose the row or column with the most zeros – fewer calculations, fewer slips.

Two answers for a given area

Determinants · Area of a Triangle using Determinants

When the area is given, solve \(\det = +2\Delta\) and \(\det = -2\Delta\). Expect two values.

Check |A| first

Determinants · Adjoint and Inverse of a Matrix

Before finding an inverse, evaluate |A|. If it is zero, the inverse does not exist – say so and stop.

Verify by substitution

Determinants · Solving Systems of Linear Equations

After solving AX = B, substitute the values back into one or two original equations. It takes 30 seconds and catches most errors.

Consistency test (AX = B)

Determinants · Solving Systems of Linear Equations
  • \(|A|\neq0\): unique solution \(X=A^{-1}B\).
  • \(|A|=0\) and \((\operatorname{adj}A)B\neq O\): no solution (inconsistent).
  • \(|A|=0\) and \((\operatorname{adj}A)B=O\): infinitely many solutions or none – check further.

5. Continuity and Differentiability

Continuity test

Continuity and Differentiability · Continuity

LHL = RHL = \(f(c)\). For piecewise functions, test only the joining points.

Continuous but not differentiable

Continuity and Differentiability · Differentiability and the Chain Rule

\(|x-c|\) at \(c\); \(x^{1/3}\) at 0 (vertical tangent). Differentiability ⇒ continuity, never the reverse.

Substitution shortcuts

Continuity and Differentiability · Derivatives of Inverse Trigonometric Functions

Recognise multiple-angle formulas: with \(x=\tan\theta\), \(\frac{2x}{1-x^2}=\tan2\theta\) and \(\frac{1-x^2}{1+x^2}=\cos2\theta\); with \(x=\sin\theta\), \(3x-4x^3=\sin3\theta\). Always check that the resulting angle lies in the principal branch.

6. Applications of Derivatives

Sign chart

Applications of Derivatives · Increasing and Decreasing Functions

Mark the zeros of \(f\,'\) on a number line and test one point in each interval; the sign of \(f\,'\) gives increasing (+) or decreasing (−).

Classic optimisation results

Applications of Derivatives · Maxima and Minima
  • Fixed perimeter ⇒ maximum area rectangle is a square.
  • Closed cylinder of given volume with least surface area: h = 2r (height = diameter).
  • Open box from an a × a sheet: cut squares of side a/6.
  • Sum of two positive numbers fixed ⇒ product is greatest when they are equal.

Absolute extrema on [a, b]

Applications of Derivatives · Maxima and Minima

Compare the values at critical points inside the interval and at the two end points.

7. Integrals

Numerator = derivative of denominator

Integrals · Integration by Substitution

\(\int\frac{f\,'(x)}{f(x)}dx=\log|f(x)|+C\), e.g. \(\int\frac{2x+3}{x^2+3x+1}dx=\log|x^2+3x+1|+C\).

Change the limits

Integrals · Definite Integrals and the Fundamental Theorem

In \(\int_0^{\pi/2}\sin^2x\cos x\,dx\) put \(u=\sin x\): limits become 0 and 1, giving \(\int_0^1u^2du=\frac13\).

King’s property

Integrals · Properties of Definite Integrals

Replace \(x\) by \(a+b-x\) and add the two forms of the integral – many trigonometric integrals collapse to \(\int_a^b1\,dx\).

8. Applications of Integrals

Use symmetry

Applications of Integrals · Area Under Simple Curves

A circle or ellipse centred at the origin is symmetric in both axes: compute the first-quadrant area and multiply by 4. A parabola y² = 4ax is symmetric about the x-axis: double the upper half.

9. Differential Equations

When degree is not defined

Differential Equations · Order and Degree

If a derivative appears inside sin, cos, e, log (e.g. \(y''+e^{y'}=0\)), the equation is not a polynomial in derivatives and its degree is not defined.

Number of constants

Differential Equations · General and Particular Solutions

The general solution of an nth-order equation has exactly n arbitrary constants.

10. Vector Algebra

Direction cosines

Vector Algebra · Vectors and Their Types

For \(\vec r=x\hat i+y\hat j+z\hat k\): \(l=\frac xr,\ m=\frac yr,\ n=\frac zr\) and \(l^2+m^2+n^2=1\).

Useful identities

Vector Algebra · Scalar (Dot) Product

\(|\vec a+\vec b|^2=|\vec a|^2+|\vec b|^2+2\vec a\cdot\vec b\); \((\vec a+\vec b)\cdot(\vec a-\vec b)=|\vec a|^2-|\vec b|^2\).

11. Three Dimensional Geometry

General point on a line

Three Dimensional Geometry · Equation of a Line in Space

On \(\frac{x-1}{2}=\frac{y+3}{-1}=\frac{z}{4}=\lambda\), every point is \((1+2\lambda,\ -3-\lambda,\ 4\lambda)\).

Intersecting lines

Three Dimensional Geometry · Shortest Distance Between Two Lines

Two non-parallel lines intersect exactly when their shortest distance is 0 (they are coplanar).

12. Linear Programming

Testing a half-plane

Linear Programming · Graphical Method of Solution

To decide which side of \(ax+by=c\) to shade, substitute a point not on the line (usually the origin). If it satisfies the inequality, shade its side.

Multiple optimal solutions

Linear Programming · Graphical Method of Solution

If \(Z\) has the same optimal value at two adjacent corners, all points on the edge joining them are optimal.

13. Probability

At least one

Probability · Multiplication Theorem and Independent Events

For independent events, \(P(\text{at least one})=1-\prod P(A_i')\). This is usually quicker than adding cases.