IIM CAT 2026PDF Note

Algebra Cheat Sheet - IIM CAT 2026

Mastering Algebra is pivotal for achieving a top percentile in the Quantitative Aptitude (QA) section of the IIM CAT 2026 exam. Algebra consistently carries high weightage in CAT, accounting for roughly 25% to 35% of the total Quantitative Aptitude questions. This comprehensive, LibreTexts-style chapter breakdown compiles core theoretical concepts, identities, formulas, and structural patterns derived from past year questions (PYQs) to streamline your revision.


1. Exponents & Logarithms

Exponent and logarithm rules form the foundation for solving non-linear equations, interest rate problems, and series approximations in CAT QA. A strong grasp of base conversion and power manipulation is essential for speed and accuracy.

Laws of Exponents

For any non-zero real bases \(a\) and \(b\), and integers or real numbers \(m\) and \(n\):

  • Product Rule: \(a^m \cdot a^n = a^{m+n}\)
  • Quotient Rule: \(\frac{a^m}{a^n} = a^{m-n}\)
  • Power of a Power: \((a^m)^n = a^{mn}\)
  • Power of a Product: \((ab)^n = a^n b^n\)
  • Negative & Zero Exponent: \(a^{-n} = \frac{1}{a^n}\), and \(a^0 = 1\) (where \(a eq 0\))

Properties of Logarithms

Logarithmic transformations simplify exponential relations into linear operations. For base \(b > 0\) (\(b eq 1\)) and positive arguments \(x, y\):

  • Product Property: \(\log_b(xy) = \log_b x + \log_b y\)
  • Quotient Property: \(\log_b\bigl(\frac{x}{y}\bigr) = \log_b x - \log_b y\)
  • Power Property: \(\log_b(x^k) = k \log_b x\)
  • Change of Base Theorem: \(\log_b x = \frac{\log_c x}{\log_c b}\)

2. Polynomials & Factoring

Quadratic equations and high-degree polynomials are central to CAT Algebra. Expect questions testing root identities, graphical behavior, maximum/minimum values, and discriminant conditions.

Special Algebraic Products & Factorization

  • Square Identities: \((a \pm b)^2 = a^2 \pm 2ab + b^2\)
  • Difference of Squares: \(a^2 - b^2 = (a-b)(a+b)\)
  • Cube Identities: \((a \pm b)^3 = a^3 \pm 3a^2b + 3ab^2 \pm b^3\)
  • Sum and Difference of Cubes: \(a^3 \pm b^3 = (a \pm b)(a^2 \mp ab + b^2)\)

Quadratic Formula & Discriminant Analysis

For a general quadratic equation \(ax^2 + bx + c = 0\) with \(a eq 0\), the roots are given by:

\[x = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a}\]

The nature of the roots depends on the discriminant \(\Delta = b^2 - 4ac\):

  • \(\Delta > 0\): Two distinct real roots.
  • \(\Delta = 0\): Exactly one real repeated root (equal roots).
  • \(\Delta < 0\): Two complex conjugate roots (no real roots).

3. Sequences & Series

Questions involving progressions often test pattern recognition, formula application, and telescoping series summation.

Arithmetic Progression (AP)

In an AP with first term \(a_1\) and common difference \(d\):

  • \(n\)-th Term: \(a_n = a_1 + (n-1)d\)
  • Sum of First \(n\) Terms: \(S_n = \frac{n}{2} \bigl[2a_1 + (n-1)d\bigr] = \frac{n}{2} (a_1 + a_n)\)

Geometric Progression (GP)

In a GP with first term \(a_1\) and common ratio \(r\):

  • \(n\)-th Term: \(a_n = a_1 r^{n-1}\)
  • Sum of Finite GP (\(r eq 1\)): \(S_n = \frac{a_1(1-r^n)}{1-r}\)
  • Sum to Infinite GP (when \(|r| < 1\)): \(S_\infty = \frac{a_1}{1-r}\)

4. Complex Numbers

While basic, understanding imaginary units and standard forms aids in solving advanced polynomial root systems and functional equations in competitive exams.

Fundamentals of Complex Operations

  • Powers of \(i\): \(i^2 = -1\), \(i^3 = -i\), \(i^4 = 1\)
  • Standard Form: \(z = a + bi\), where \(a, b \in \mathbb{R}\)
  • Complex Conjugate: \(\bar{z} = a - bi\)
  • Modulus (Magnitude): \(|z| = \sqrt{a^2 + b^2}\)

5. Binomial Theorem

The Binomial Theorem facilitates polynomial expansions, remainder problems, and term identification in higher powers.

Binomial Expansion & General Term

For any positive integer \(n\):

\[(x+y)^n = \sum_{k=0}^{n} \binom{n}{k} x^{n-k} y^k\]

Where the binomial coefficient is calculated as:

\[\binom{n}{k} = \frac{n!}{k!(n-k)!}\]

The general term \((k+1)\)-th term in the expansion is given by:

\[T_{k+1} = \binom{n}{k} x^{n-k} y^k\]

6. Matrices & Determinants

Linear algebra principles like determinants and inverse calculations provide quick shortcuts for linear systems of equations.

2x2 Matrix Inverse & Determinant

For a \(2 \times 2\) matrix \(A = \begin{pmatrix} a & b \\ c & d \end{pmatrix}\):

  • Determinant: \(\det(A) = ad - bc\)
  • Inverse Matrix (when \(\det(A) eq 0\)):
\[A^{-1} = \frac{1}{ad-bc} \begin{pmatrix} d & -b \\ -c & a \end{pmatrix}\]

7. CAT PYQ Analysis & Exam Pattern Insights

Chapter Weightage & Strategic Importance

Analysis of past CAT papers reveals the relative frequency and question distributions across Algebra topics:

  • Quadratic & Higher Degree Equations: High Priority (~3-5 Questions/Slot). Questions emphasize range of functions, roots, and sign charts.
  • Logarithms & Exponents: High Priority (~2-3 Questions/Slot). Focus on multi-base simplification and inequality constraints.
  • Sequences & Series: Moderate-High Priority (~2 Questions/Slot). Strong emphasis on telescoping sums and AGP.
  • Binomial Theorem & Matrices: Moderate-Low Priority (~0-1 Questions/Slot). Useful for remainder techniques and modular arithmetic applications.

NTA Pattern & Trends

In recent testing patterns, Indian Institutes of Management (IIMs) have favored non-routine algebra problems that combine multiple concepts—such as incorporating logarithms inside arithmetic progressions or using quadratic constraints to find maximum/minimum values without calculus. Mastering standard formulas along with rapid mental evaluation is crucial.


8. Frequently Asked Questions (FAQ)

How many questions are expected from Algebra in IIM CAT 2026?

Out of 22 questions in the CAT Quantitative Aptitude section, typically 6 to 8 questions are directly from Algebra, making it one of the two most important modules alongside Arithmetic.

Are Matrices and Complex Numbers explicitly tested in CAT?

Direct questions on Matrices or Complex Numbers are rare in CAT, but their algebraic properties help solve systems of equations, remainder questions, and transformations efficiently.

What is the best strategy to tackle Logarithm questions in CAT?

Focus on master base-change formulas and always check domain constraints (e.g., base \(b > 0, b eq 1\) and argument \(x > 0\)) to eliminate invalid extraneous solutions.


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