Course Completed on 15th December,2025-120 Teaching Hours
Unit 1 Complete Notes Submission Link-Submit by 12th Nov, 2025
1.1 Role of Mathematics in Economic Analysis
Importance of mathematical tools in economic modeling and analysis
Variables, Constants, and Parameters
Definitions and roles in economic contexts
Real-number system, Arithmetic Progression (A.P.), Geometric Progression (G.P.)
Sets
Types: Finite, infinite, convex sets
Operations: Union, intersection, complement
Cartesian products of sets
Relations and Functions
Definitions and properties
Functions: Domain, range, types (constant, polynomial, rational, non-algebraic)
Inverse functions
Functions with multiple independent variables
1.2 Limits and Continuity
Concept of limits and continuity in functions
Key limit theorems (without proofs)
Derivatives
First and second-order derivatives
Rules of differentiation
Partial derivatives
Maclaurin and Taylor series for polynomial functions
Economic Applications
Marginal and average functions
Utility functions, marginal utility, indifference curves
Demand functions and elasticities
Production functions: Elasticities, cost, revenue, and profit functions
Homogeneous and Homothetic Functions
Properties of homogeneous functions
Cobb-Douglas and CES production functions
Notions of concavity and convexity
1.3 Matrices
Types: Square, identity, zero matrices
Operations: Addition, subtraction, multiplication
Determinant and inverse of square matrices
Cramer’s rule for solving linear equations
Applications: Market models, national income models, Leontief Input-Output Model
Class task 1.3.1 Matrices Submission link - Submit by 17th August
Lecture - 1 - Matrix Introduction - Youtube Video Link , Reading , Question set 1 , Sol 1 , Notes , Practice set1 ,Question set 2.1 , Sol 2.1
Lecture 2 - Finding out Determinants of Matrices. - Youtube Video link , Question set 2.2 with solution
Lecture 3 - Finding the Inverse of a Matrix - Youtube Video Link , Question set 2.3 , Solution 2.3
Lecture -4 Solving System of Linear equation using Inverse Matrix method - Youtube Link , Question set 3., Solution set 3
Lecture -5 Solving System of Linear equation using Cramer's Rule - Youtube Video Link. Question set 4.1,
Lecture 2.1 -Leontief 2x2 Input Output Analysis -Video
Lecture 2.2 - Leonteif I-O Analysis with Price System and Numerical - Video
Matrices and Determinants Complete notes
Class task Unit 2 Submission Link-4th Dec,2025
Concept of Optimization
Structure: Choice variables, objective function, feasible set
Solutions to optimisation problems: Local vs. global optima
Unconstrained Optimization
Necessary and sufficient conditions
Single and multiple choice variables
Quadratic forms
Optimization with Equality Constraints
Lagrange Multiplier Method
Bordered Hessian Determinant
Economic Applications
Utility maximization: Income consumption curve, derivation of demand curves
Duality Concepts
Indirect utility function
Roy’s identity
Derivation of Compensated demand function
Shephard’s Lemma
Slutsky’s equation
Cost and Profit Optimization
Cost minimization for firms
Profit maximization
Derivation of factor demand function, cost function, expansion path
Class task Unit 3 Submission Link-22/12/25
Linear Programming Problem (LPP)
General formulation
Duality and economic interpretation
Solution Methods
Graphical method
Concept of basic and basic feasible solutions
Simplex method
References/ Suggested Readings:
1. A.C. Chiang and K. Wainwright- Fundamental Methods of Mathematical Economics; 4th Edition- McGraw Hill Education
2. A. Henderson and R. Quandt – Microeconomic Theory, McGraw Hill, International Edition.
3. Hal R. Varian- Intermediate Microeconomics: A Modern Approach, fourth edition, W. Norton.
4. Taro Yamane: Mathematics for Economists, Prentice Hall of India, New Delhi (1975).
5. Badal Mukherji and V. Pandit – Mathematical Methods for Economic Analysis, Allied Publishers, Second edition.
6. Knut Sydsaeter and Peter J. Hammond: Mathematics for Economic Analysis
7. Carl Simon and Lawrence Blume: Mathematics for Economics, Norton (edition)
8. G. Archibald and R. Lipsey: An Introduction to Mathematical Treatment of Economics.AITBS
9. H. Gravelle and R. Rees- Microeconomics, Pearson.
Continuous Assessment (Internal Exam): 30 Marks
1. Attendance - 08 marks
attending less than 60 % - Not eligible
attending at least 60% but less than 75% - 0 marks
Students with over 75% but less than 90% attendance - 6 marks
With 90% attendance and more - 8 marks
2. Class Tasks/Homework - 12 marks
5 marks each units x first two units, 2 marks for the third unit = 12 marks
3. Exam- Subjective/Objective type - 10 marks
Internal Exam carries 10 marks
4. Presentation marks- 5 marks (Incentive marks)
Class participation, active involment in department activities, presentation etc
End Semester Examination: 70 Marks
The end semester examination shall be conducted based on written test.
Question Pattern: Students have to answer 2 questions carrying 10 marks out of given 4 questions
; 4 questions carrying 5 marks each out of given 8 questions;.
10 questions carrying 2 marks each out of given 16 questions;
Ten questions carrying 1 mark each out of given 16 questions.