# Mathematics for economists : an introductory textbook

Material type: TextPublication details: New Delhi Viva Books 2017Edition: 4th EdDescription: xviii, 757p. PbkISBN:- 9789386105233

- 330.0151 PEM

Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|

Books | H.T. Parekh Library | GSB Collection | 330.0151 PEM (Browse shelf(Opens below)) | Available | B2562 |

SRS - Rs.895/-

Chapter 1: LINEAR EQUATIONS • Straight line graphs • An economic application: supply and demand • Simultaneous equations • Input-output analysis • Problems on Chapter 1

Chapter 2: LINEAR INEQUALITIES • Inequalities • Economic applications • Linear programming • Problems on Chapter 2

Chapter 3: SETS AND FUNCTIONS • Sets • Real numbers • Functions • Mappings • Problems on Chapter 3

Chapter 4: QUADRATICS, INDICES AND LOGARITHMS • Quadratic functions and equations • Maximising and minimising quadratic functions • Indices • Logarithms • Problems on Chapter 4

Chapter 5: SEQUENCES, SERIES AND LIMITS • Sequences • Series • Geometric progressions in economics • Limits and continuity • Problems on Chapter 5

Chapter 6: INTRODUCTION TO DIFFERENTIATION • The derivative. • Linear approximations and differentiability. • Two useful rules • Derivatives in economics • Problems on Chapter 6

Chapter 7: METHODS OF DIFFERENTIATION • The product and quotient rules • The composite function rule • Monotonic functions • Inverse functions • Problems on Chapter 7 • Appendix to Chapter 7

Chapter 8: MAXIMA AND MINIMA • Critical point • The second derivative • Optimisation • Convexity and concavity • Problems on Chapter 8

Chapter 9: EXPONENTIAL AND LOGARITHMIC FUNCTIONS • The exponential function • Natural logarithms • Time in economics • Problems on Chapter 9 • Appendix to Chapter 9

Chapter 10: APPROXIMATIONS • Linear approximations and Newton’s method • The mean value theorem • Quadratic approximations and Taylor’s theorem • Taylor and Maclaurin series • Problems on Chapter 10 • Appendix to Chapter 10

Chapter 11: MATRIX ALGEBRA • Vectors • Matrices. • Matrix multiplication • Square matrices • Problems on Chapter 11

Chapter 12: SYSTEMS OF LINEAR EQUATIONS • Echelon matrices • More on Gaussian elimination • Inverting a matrix • Linear dependence and rank • Problems on Chapter 12

Chapter 13: DETERMINANTS AND QUADRATIC FORMS • Determinants • Transposition • Inner products • Quadratic forms and symmetric matrices • Problems on Chapter 13 • Appendix to Chapter 13

Chapter 14: FUNCTIONS OF SEVERAL VARIABLES • Partial derivatives • Approximations and the chain rule • An economic application: production functions • Homogeneous functions • Problems on Chapter 14 • Appendix to Chapter 14

Chapter 15: IMPLICIT RELATIONS • Implicit differentiation • Comparative statics • Generalising to higher dimensions • Problems on Chapter 15 • Appendix to Chapter 15

Chapter 16: OPTIMISATION WITH SEVERAL VARIABLES • Critical points and their classification • Global optima, concavity and convexity • Non-negativity constraints • Problems on Chapter 16 • Appendix to Chapter 16

Chapter 17: PRINCIPLES OF CONSTRAINED OPTIMISATION • Lagrange multipliers • Extensions and warnings • Economic applications • Quasi-concave functions • Problems on Chapter 17

Chapter 18: FURTHER TOPICS IN CONSTRAINED OPTIMISATION • The meaning of the multipliers • Envelope theorems • Non-negativity constraints again • Inequality constraints • Problems on Chapter 18

Chapter 19: INTEGRATION • Areas and integrals • Rules of integration • Integration in economics • Numerical integration • Problems on Chapter • Appendix to Chapter 19

Chapter 20: ASPECTS OF INTEGRAL CALCULUS • Methods of integration • Infinite integrals • Differentiation under the integral sign • Double integrals • Problems on Chapter 20

Chapter 21: PROBABILITY • Events and their probabilities • Conditional probability and independence • Random variables • The binomial, Poisson and exponential distributions • Problems on Chapter 21 • Appendix to Chapter 21

Chapter 22: EXPECTATION • Expected value • The variance and higher moments • Two or more random variables • Random samples and limit theorems • Problems on Chapter 22 • Appendix to Chapter 22

Chapter 23: INTRODUCTION TO DYNAMICS • Differential equations • Linear equations with constant coefficients • Harder first-order equations • Difference equations • Problems on Chapter 23

Chapter 24: THE CIRCULAR FUNCTIONS • Cycles, circles and trigonometry • Extending the definitions • Calculus with circular functions • Polar coordinates • Problems on Chapter 24

Chapter 25: COMPLEX NUMBERS • The complex number system • The trigonometric form • Complex exponentials and polynomials • Problems on Chapter 25

Chapter 26: FURTHER DYNAMICS • Second-order differential equations • Qualitative behaviour • Second-order difference equations • Problems on Chapter 26 • Appendix to Chapter 26

Chapter 27: EIGENVALUES AND EIGENVECTORS • Diagonalisable matrices • The characteristic polynomial • Eigenvalues of symmetric matrices • Problems on Chapter 27

Chapter 28: DYNAMIC SYSTEMS • Systems of difference equations • Systems of differential equations • Qualitative behaviour • Non-linear systems • Problems on Chapter 28 • Appendix to Chapter 28

Chapter 29: DYNAMIC OPTIMISATION IN DISCRETE TIME • The basic problem • Variants of the basic problem • Dynamic programming • Problems on Chapter 29 • Appendix to Chapter 29

Chapter 30: DYNAMIC OPTIMISATION IN CONTINUOUS TIME • The basic problem and its variants • The maximum principle • Two applications to resource economics • Problems with an infinite horizon • Problems on Chapter 30 • Appendix to Chapter 30

Chapter 31: INTRODUCTION TO ANALYSIS • Rigour • More on the real number system • Sequences of real numbers • More on limits and continuity • Problems on Chapter 31

Chapter 32: METRIC SPACES AND EXISTENCE THEOREMS • Metric spaces • Open, closed and compact sets • Continuous mappings • Fixed point theorems • Problems on Chapter 32 • Appendix to Chapter 32

This book, now in its fourth edition, is a self-contained treatment of all the mathematics needed by undergraduate and masters-level students of economics: calculus, matrix algebra, probability, optimisation and dynamics. The emphasis throughout is on intuitive argument and problem-solving, and all methods are illustrated by well-chosen examples, exercises and problems selected from central areas of modern economic analysis.

Clear, systematic and building up gently from a very low level, the book can be used in a variety of course formats for students with or without prior knowledge of calculus, for reference and for self study. The last two chapters provide an introduction to the rigorous mathematical analysis used in graduate-level economics, and two chapters on probability theory, new to this edition, provide the essential mathematical background for upper-level courses on economic theory, econometrics and finance.

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