Algebra
Learning Objectives
- Master set theory, complex numbers, quadratic equations, and sequences for NDA Paper 1
- Apply shortcut techniques to solve algebra MCQs in under 45 seconds
- Recognise NDA-specific question patterns and elimination strategies
- Build speed through practice with 15+ topic-wise solved examples and 12 practice MCQs
1. Sets & Relations
Sets form the foundational language of mathematics. In NDA exams, set theory is tested through questions on set operations, Venn diagrams, cardinality of unions and intersections, and De Morgan’s laws. Relations and functions appear as interconnected topics with moderate weightage.
Set Theory Basics
Definitions & Terminology
A set is a well-defined collection of distinct objects called elements (or members). Sets are denoted by capital letters (A, B, C, …) and elements by lowercase letters. The notation a ∈ A means a belongs to set A. Sets can be described in roster form (listing elements within curly braces) or set-builder form (stating the property that defines membership).
Types of Sets Complete Classification
| Type | Definition | Example | NDA Note |
|---|---|---|---|
| Empty / Null Set | Set with no elements | φ or { } | φ ≠ {0} |
| Singleton Set | Exactly one element | {5} | Cardinality = 1 |
| Finite Set | Countable number of elements | {1, 2, 3, 4} | |A| = n |
| Infinite Set | Uncountable elements | ℕ = {1, 2, 3, …} | Natural numbers |
| Equal Sets | Exactly the same elements | {1,2} = {2,1} | Order irrelevant |
| Equivalent Sets | Same cardinality | {a,b} ~ {1,2} | n(A) = n(B) |
| Subset | Every element of A is in B | {1} ⊆ {1,2} | ∅ ⊆ every set |
| Proper Subset | A ⊆ B and A ≠ B | {1} ⊂ {1,2} | Strict subset |
| Power Set | Set of all subsets of A | P({a}) = {φ, {a}} | |P(A)| = 2n |
| Universal Set | All elements under discussion | U | Context-dependent |
Subsets, Power Set & Cardinality Formulas
If |A| = n, then:
• Number of subsets = 2n
• Number of proper subsets = 2n − 1
• Number of non-empty subsets = 2n − 1
• Number of non-empty proper subsets = 2n − 2
Venn Diagrams & Set Operations
Venn diagrams use overlapping circles to visually represent relationships between sets. They are particularly useful for solving NDA word problems involving surveys, preferences, and group memberships.
| Operation | Symbol | Set-Builder | Venn Region |
|---|---|---|---|
| Union | A ∪ B | {x | x ∈ A or x ∈ B} | Entire shaded area |
| Intersection | A ∩ B | {x | x ∈ A and x ∈ B} | Overlapping region |
| Difference | A − B | {x | x ∈ A and x ∉ B} | A only |
| Complement | A′ or Ac | {x | x ∈ U and x ∉ A} | Outside circle A |
| Symmetric Diff. | A Δ B | (A − B) ∪ (B − A) | Non-overlapping parts |
Key Cardinality Formulas
Two sets: n(A ∪ B) = n(A) + n(B) − n(A ∩ B)
Three sets: n(A ∪ B ∪ C) = n(A) + n(B) + n(C) − n(A ∩ B) − n(B ∩ C) − n(C ∩ A) + n(A ∩ B ∩ C)
De Morgan’s Laws
- (A ∪ B)′ = A′ ∩ B′
- (A ∩ B)′ = A′ ∪ B′
a) 10 b) 15 c) 20 d) 25
Relations & Functions NDA Essentials
A relation from set A to set B is a subset of A × B (Cartesian product). A function f: A → B is a special relation where each element of A has exactly one image in B. Key function types tested in NDA:
- One-one (injective): f(x1) = f(x2) ⇒ x1 = x2
- Onto (surjective): For every y ∈ B, there exists x ∈ A with f(x) = y
- Bijective: Both one-one and onto
- Even function: f(−x) = f(x) symmetric about y-axis
- Odd function: f(−x) = −f(x) symmetric about origin
2. Complex Numbers
Complex numbers extend the real number system to include solutions of equations like x2 + 1 = 0. A complex number is written as z = a + ib, where i = √(−1). The real part is Re(z) = a and the imaginary part is Im(z) = b. NDA consistently tests modulus, argument, polar form, De Moivre’s theorem, and cube roots of unity.
Argand Plane & Modulus
Geometric Representation
Every complex number z = x + iy corresponds uniquely to a point (x, y) in the Argand plane (also called the complex plane). The x-axis is the real axis and the y-axis is the imaginary axis.
Modulus, Argument & Conjugate
- Modulus: |z| = √(x2 + y2) distance from origin
- Argument: arg(z) = tan−1(y/x) angle with positive real axis, range (−π, π]
- Conjugate: z̅ = x − iy reflection across the real axis
Three Representations of Complex Numbers
| Form | Expression | Best For |
|---|---|---|
| Cartesian (Rectangular) | z = x + iy | Addition, subtraction, conjugate |
| Polar (Trigonometric) | z = r(cos θ + i sin θ) | Multiplication, division, powers |
| Exponential (Euler) | z = reiθ | De Moivre, roots of unity |
Properties of Modulus and Conjugate
- |z1 z2| = |z1| · |z2|
- |z1 / z2| = |z1| / |z2| (z2 ≠ 0)
- |z1 + z2| ≤ |z1| + |z2| (Triangle inequality)
- |z1 − z2| ≥ ||z1| − |z2||
- zz̅ = |z|2
- z1 + z2 = z̅1 + z̅2
- z1 z2 = z̅1 · z̅2
a) The real axis b) The imaginary axis c) A circle d) The line y = x
a) 5√5 b) 25 c) 5 d) √5
Polar Form & De Moivre’s Theorem
To convert to polar form: z = r(cos θ + i sin θ), where r = |z| and θ = arg(z).
De Moivre’s Theorem: (cos θ + i sin θ)n = cos(nθ) + i sin(nθ) for integer n.
To find nth roots: z1/n = r1/n[cos((θ + 2πk)/n) + i sin((θ + 2πk)/n)], for k = 0, 1, …, n−1.
Cube Roots of Unity
The cube roots of unity are the three solutions of z3 = 1: 1, ω, ω2, where ω = (−1 + i√3)/2 and ω2 = (−1 − i√3)/2.
Essential Properties (memorise for NDA):
- 1 + ω + ω2 = 0
- ω3 = 1 and (ω2)3 = 1
- ω3k = 1, ω3k+1 = ω, ω3k+2 = ω2
- ω and ω2 are complex conjugates
a) 1 b) 0 c) ω d) ω2
3. Quadratic Equations
A quadratic equation in x is of the form ax2 + bx + c = 0, where a, b, c are real and a ≠ 0. NDA tests nature of roots, sum and product relations, formation of equations, and common root conditions.
Standard Form & Quadratic Formula
The roots are given by: x = [−b ± √(b2 − 4ac)] / 2a. The discriminant D = b2 − 4ac determines the nature.
Nature of Roots Complete Classification
| Discriminant | Nature of Roots | Example |
|---|---|---|
| D > 0, perfect square | Real, distinct, rational | x2 − 5x + 6 = 0 |
| D > 0, not perfect square | Real, distinct, irrational | x2 − 4x + 2 = 0 |
| D = 0 | Real and equal (repeated) | x2 − 4x + 4 = 0 |
| D < 0 | Complex conjugate pair | x2 + x + 1 = 0 |
Sum & Product of Roots
If α and β are roots, then:
Sum: α + β = −b/a
Product: αβ = c/a
Form equation: x2 − (α+β)x + αβ = 0
Useful Expressions
- α2 + β2 = (α + β)2 − 2αβ
- α3 + β3 = (α + β)3 − 3αβ(α + β)
- |α − β| = √D / |a|
a) 4 b) 6 c) 8 d) 10
a) 9 b) 3 c) 6 d) 0
Common Roots
One common root: Condition: (c1a2 − c2a1)2 = (a1b2 − a2b1)(b1c2 − b2c1). Both roots common: a1/a2 = b1/b2 = c1/c2.
Graphical Interpretation
The parabola y = ax2 + bx + c opens upward if a > 0, downward if a < 0. Vertex at x = −b/2a. If a > 0 and D < 0, expression is always positive; if a < 0 and D < 0, always negative.
4. Sequences & Series
A sequence is an ordered list of numbers following a pattern (e.g., 2, 4, 6, 8, …). A series is the sum of terms. NDA tests AP, GP, HP, and standard summation formulas.
Arithmetic Progression (AP)
General form: a, a+d, a+2d, … Common difference = d.
- nth term: Tn = a + (n − 1)d
- Sum: Sn = n/2 [2a + (n − 1)d] = n/2 (a + l)
- Arithmetic Mean: AM of a, b = (a + b)/2
a) 2 b) 3 c) 4 d) 5
Geometric Progression (GP)
General form: a, ar, ar2, … Common ratio = r.
- nth term: Tn = arn−1
- Sum (n terms): Sn = a(rn − 1)/(r − 1), r ≠ 1
- Sum (∞): S∞ = a/(1 − r), |r| < 1
- Geometric Mean: GM of a, b = √(ab)
a) 4/3 b) 3/2 c) 2 d) 3
Harmonic Progression (HP)
Reciprocals of terms form an AP. HM of a, b = 2ab/(a+b). Key relationship: AM ≥ GM ≥ HM (equality when numbers are equal).
Sum of Special Series
| Series | Sum of First n Terms | Memory Aid |
|---|---|---|
| 1 + 2 + 3 + … + n | n(n + 1)/2 | “n n plus one by two” |
| 12 + 22 + … + n2 | n(n+1)(2n+1)/6 | “n n+1 2n+1 by six” |
| 13 + 23 + … + n3 | [n(n+1)/2]2 | “Square of the sum” |
| 1 + 3 + 5 + … + (2n−1) | n2 | “Sum of odds = n2” |
5. Permutations & Combinations
Permutations count arrangements (order matters), combinations count selections (order does not). High-weightage topic in NDA with 4–6 questions on word arrangements, committee formation, and geometric counting.
Fundamental Principle of Counting
Multiplication: If event 1 in m ways and event 2 in n ways, both occur together in m × n ways.
Addition: If events are mutually exclusive, total = m + n.
nPr & nCr Formulas
| Concept | Formula | Example |
|---|---|---|
| Permutation | nPr = n!/(n−r)! | 5P3 = 60 |
| Combination | nCr = n!/[r!(n−r)!] | 5C3 = 10 |
| All distinct | n! | 5! = 120 |
| With repetitions | n!/(p!q!r!…) | MISSISSIPPI: 11!/(4!4!2!) |
| Combination identity | nCr = nCn−r | 7C4 = 7C3 = 35 |
a) 60 b) 120 c) 20 d) 125
Circular Permutations
• Distinct objects around circle: (n − 1)!
• Necklace/garland (clockwise = anticlockwise): (n − 1)! / 2
a) 120 b) 24 c) 60 d) 12
6. Binomial Theorem
The binomial theorem expands (x + y)n for positive integer n. NDA tests general term, middle term, term independent of x, and coefficient properties.
Statement & Expansion
(x + y)n = Σ nCr xn−r yr, where r = 0 to n. The expansion has (n+1) terms.
General Term & Middle Term
| Term Type | Formula | Condition |
|---|---|---|
| General term (r+1)th | Tr+1 = nCr xn−r yr | 0 ≤ r ≤ n |
| Middle term (n even) | Tn/2+1 | One middle term |
| Middle terms (n odd) | T(n+1)/2 and T(n+3)/2 | Two middle terms |
| Independent of x | Set exponent of x = 0 | Solve for r |
a) 21 b) 35 c) 28 d) 15
Binomial Coefficients Properties
- nC0 + nC1 + … + nCn = 2n
- nC0 − nC1 + … + (−1)n nCn = 0
- Sum of even-indexed coefficients = Sum of odd-indexed coefficients = 2n−1
- nCr + nCr−1 = n+1Cr (Pascal’s rule)
7. Matrices & Determinants
A matrix is a rectangular array of numbers (rows × columns). Determinants are scalars for square matrices. NDA tests operations, determinant properties, and Cramer’s rule.
Matrix Operations
| Operation | Rule | Note |
|---|---|---|
| Addition | Element-wise (same order) | Commutative |
| Scalar Multiplication | Each element × scalar | Distributive |
| Multiplication | Row × Column (dot product) | NOT commutative |
| Transpose | Swap rows & columns | (AB)T = BTAT |
| Inverse (2×2) | A−1 = (1/det A) adj(A) | det A ≠ 0 |
Matrix Properties
- AB ≠ BA (non-commutative)
- (AB)C = A(BC) (associative)
- A(B+C) = AB + AC (distributive)
- (AB)−1 = B−1A−1
Determinant Properties
- det(kA) = kn det(A) for n×n matrix
- det(AB) = det(A) · det(B)
- det(AT) = det(A)
- Two identical rows/columns ⇒ det = 0
- Row interchange changes sign of det
- det(A−1) = 1 / det(A)
- Triangular matrix: det = product of diagonal entries
a) −2 b) 2 c) −1 d) 4
a) 1 b) 2 c) 0 d) −1
Cramer’s Rule
For a1x + b1y = c1, a2x + b2y = c2:
D = det[[a1,b1],[a2,b2]], Dx = det[[c1,b1],[c2,b2]], Dy = det[[a1,c1],[a2,c2]]
x = Dx/D, y = Dy/D (provided D ≠ 0).
8. Linear Inequalities
Linear inequalities involve >, ≥, <, ≤. NDA tests solving, interval representation, and sign reversal rules.
Interval Notation
- (a, b) → a < x < b
- [a, b] → a ≤ x ≤ b
- (a, ∞) → x > a
- (−∞, b] → x ≤ b
Solving Rules
- Adding/subtracting preserves inequality
- Multiplying/dividing by positive preserves inequality
- Multiplying/dividing by negative reverses the inequality
- Never multiply/divide by a variable with unknown sign
a) x > 8 b) x > 6 c) x < 8 d) x < 6
a) x ≥ −2 b) x ≤ −2 c) x ≥ 2 d) x ≤ 2
9. Probability
Probability ranges from 0 to 1. NDA tests classical probability, conditional probability, and Bayes’ theorem at a basic level.
Basic Terminology
- Experiment: Process with well-defined outcomes (rolling a die)
- Sample Space (S): All possible outcomes; n(S) = total count
- Event (E): Subset of S; n(E) = favourable count
- Probability: P(E) = n(E)/n(S), 0 ≤ P(E) ≤ 1
Key Formulas
| Concept | Formula |
|---|---|
| Union | P(A∪B) = P(A) + P(B) − P(A∩B) |
| Complement | P(A′) = 1 − P(A) |
| Conditional | P(A|B) = P(A∩B)/P(B) |
| Independent | P(A∩B) = P(A)·P(B) |
| Mutually Exclusive | P(A∩B) = 0 |
a) 1/6 b) 1/12 c) 5/36 d) 1/9
10. Statistics (basic)
Statistics covers collection, organisation, and analysis of data. NDA tests mean, median, mode, variance, and standard deviation.
Measures of Central Tendency
- Mean (𝑥): For ungrouped: (Σxi)/n. For grouped: (Σfixi)/(Σfi)
- Median: Middle value when sorted. n odd: (n+1)/2th term. n even: average of n/2th and (n/2+1)th terms
- Mode: Most frequent value
Measures of Dispersion
| Measure | Definition | Formula |
|---|---|---|
| Range | Max − Min | — |
| Variance (σ2) | Avg of squared deviations | Σ(xi−𝑥)2/n |
| Std Dev (σ) | √(variance) | √[Σ(xi−𝑥)2/n] |
| Coeff of Variation | Relative dispersion | (σ/𝑥) × 100% |
Computational Formula for Variance
σ2 = [Σxi2/n] − (𝑥)2. This avoids individual deviations and is much faster for NDA.
a) 10 b) 12 c) 14 d) 16
a) √5 b) √6 c) 5 d) 2√2