Contents. Set Theory. Functions and its Applications CHAPTER 1 CHAPTER 2. Preface... (v)

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(vii) Preface... (v) CHAPTER 1 Set Theory Definition of Set... 1 Roster, Tabular or Enumeration Form... 1 Set builder Form... 2 Union of Set... 5 Intersection of Sets... 9 Distributive Laws of Unions and Intersections... 12 Complement of a Set... 14 Difference of Sets... 16 De Morgan s Law... 19 Some Important results on Difference, Union and Intersection... 22 Symmetric Difference of Two Sets... 30 Cardinal Number of a Set... 33 Ordered Pairs... 37 Cartesian Products... 37 Summary... 41 Self Practice Exercises... 42 Answers... 44 CHAPTER 2 Functions and its Applications Brief History and Introduction... 46 Definition of a Function or Mapping... 47 Types of Mapping... 48 One One Mapping (or Injection)... 48 (vii)

(viii) One Many Mapping... 48 Many One Mapping... 48 Into Mapping... 49 Onto Mapping... 49 Some Functions... 50 Graph of Functions... 67 General Condition for Market Equilibrium in an Economic System... 81 Market Equilibrium... 82 Break Even Analysis... 82 Summary... 86 Self Practice Exercises... 87 Answers... 89 CHAPTER 3 Limits and Continuity Brief Overview and Introduction... 90 Limit of a Function... 90 Some Other Types of Limits... 91 Some Important Theorem... 92 Some Important Results... 93 Methods of Evaluation of Limits... 93 Rationalization Method... 94 Substitution Method... 94 The Concept of Right and Left hand Limit... 106 Difference between Limit and Value of a Function... 107 Continuity... 111

(ix) Application of Limits and Continuity in Business and Economics... 120 Brief Summary... 123 Self Practice Exercises... 124 Answers... 126 Appendix... 126 CHAPTER 4 Derivatives and its Applications Concept and Definition... 131 Meaning of Increment... 132 Some Important Rules... 132 Some Important Standard Derivative... 136 Some Solved Illustrations using 1 st principle... 140 Some Important Standard Derivatives of Trigonometric Functions... 151 Some Standard Derivative of Inverse Trigonometric Functions... 163 Application of Concepts of Differentiation to Business and Economics... 169 Elasticity of Demand... 169 Some Important cases of ed... 170 Elasticity of Supply... 171 Concept of Total Cost, Average Cost and Marginal Cost... 177 Concept of Total Revenue, Average Revenue and Marginal Revenue... 186 Summary... 192 Self Practice Exercises... 194 Answers... 197 Appendix... 199

(x) CHAPTER 5 Maxima and Minima and its Application Introduction... 202 Increasing Function... 202 Decreasing Function... 203 Maxima and Minima of a Function... 205 First Order Derivative test for Maxima and Minima... 206 Second Order Derivative test for Maxima and Minima... 206 Convexity and Concavity... 217 Point of Inflexion... 219 Application of Theory of Maxima and Minima in Business and Economics... 225 Effect of Taxation and Subsidy on Profitability... 236 Effect of Taxation... 236 Effect of Subsidy... 237 Summary... 242 Self Practice Exercises... 243 Answers... 245 CHAPTER 6 Partial Derivatives and its Application Concept and Definition... 246 The Concept of Successive Partial Derivatives... 246 The Concept of Cross Partial Derivatives... 247 Total Differentials... 251 Second Order Total Differential... 254 Euler s Theorem... 258 Euler s Theorem on Homogenous Functions of Two Variables... 259 Derivative of Implicit Functions... 264

(xi) Application of the Concepts of Partial Derivatives to Business and Economics... 266 Demand Analysis... 266 Nature of Commodities whether substitutes (competitive) or Complementary... 267 Partial Elasticity of Demand... 268 Utility Analysis... 272 Marginal Rate of Substitution... 272 Constrained Utility Maximization... 274 Production Analysis... 275 The Concept of Maxima and Minima of a function of two variables... 281 Summary... 284 Self Review Questions... 284 Answers... 286 Appendix... 287 CHAPTER 7 Integration and its Application Definition... 290 Some Standard Fundamental Integrals... 291 Methods of Integration... 299 Integration by Parts... 314 Some Important Rule... 319 Some Standard Integrals... 320 Integration by Partial Fraction... 330 Definite Integrals... 341 Fundamental Theorem of Integral Calculus Valuation of Definite Integral... 344 Application of Integration in Business and Economics... 354 Consumer and Producer Surplus... 365

(xii) Learning Curve... 371 Summary... 372 Self Practice Exercises... 373 Answers... 377 CHAPTER 8 Differential Equations and its Application Definitions... 381 Order of a Differential Equation... 381 Degree of the Differential Equation... 382 Solution of a Differential Equation... 383 Solution of First Order and First degree Differential Equation... 384 Equation with Variables are Separable... 387 Homogenous Differential Equation... 391 An Equation Reducible to Homogenous Form... 395 Linear Differential Equation... 399 Equations Reducible to Linear Form (Bernoulli s Equation)... 404 Exact Differential Equation... 406 Equations Reducible to Exact Differential Equation Form... 408 Solving Second Order Differential Equations... 412 Application of Differential Equation to Business and Economics... 415 Summary... 418 Self Practice Questions... 418 Answers... 419 CHAPTER 9 Theory of Matrices-I Brief History... 421 Forms of Matrix... 422

(xiii) Rules of Matrix s Operation... 425 Some of the Properties of Matrix Addition... 426 Scalar Multiplication of Matrix... 429 Some of the Properties of Scalar Multiplication... 430 Multiplication Rule... 433 Some of the Properties of Matrix Multiplication... 434 Transpose of a Matrix... 447 Application of Theory of Matrix to Business and Economics... 450 Summary... 453 Self Practice Exercises... 453 Answers... 456 CHAPTER 10 Determinants of Matrices Definition... 458 Minor and Cofactor of the Elements of a Determinant... 459 Cofactors of the Elements... 460 Some Important Properties of Determinants... 462 Summary... 492 Self Practice Exercises... 493 Answers... 496 CHAPTER 11 Theory of Matrices - II Definition... 497 Singular Matrix... 497 Non singular Matrix... 497 Adjoint of a Square Matrix... 497 Properties of Inverse of a Matrix... 503 Orthogonal Matrix... 509

(xiv) Matrix Inversion Method... 519 Gauss Jordan Elimination Method... 527 Rank of Matrix... 529 Application of Theory of Matrix to Business and Economics... 530 Summary... 551 Self Practice Exercises... 552 Answers... 554 CHAPTER 12 Input Output Analysis Brief History... 555 The Alternate Explanation... 557 Simon Hawkins Conditions... 562 Solution for a 2 Sector Model with Primary Inputs... 566 In Case of 2 Primary Inputs Utilized... 566 Determination of Equilibrium Prices (2 Sector Model)... 569 Importance of Input Output Analysis... 572 Practical Issues... 573 Theoretical Issues... 573 Review Questions... 574 Self Practice Exercises... 574 Answers... 576 CHAPTER 13 Theory of Equation and Inequation Introduction... 577 The Nature of the Roots of the Quadratic Equation... 590 Relation between Roots and Coefficients of a Quadratic Equation... 592 Formulation of an Equation using given Roots... 593

(xv) Solving Simultaneously Linear Equation Having Two Variables.. 599 Cubic and Biquadratic Equations... 605 Inequalities... 608 Graphs of Linear Inequations or Inequalities in Two variables... 615 Graphs of System of Linear Equations... 619 Summary... 622 Self Practice Exercises... 623 Answers... 625 CHAPTER 14 Progression Arithmetic Progression... 626 Properties of an Arithmetic Progression... 628 Arithmetic Mean (A. M)... 632 Representation of Terms in A.P... 634 Geometric Progression... 639 Geometric Means... 647 Relationship between A.M and G.M... 655 Harmonic Progression... 656 Summary... 657 Self Practice Exercises... 658 Answers... 660 CHAPTER 15 Permutation and Combination A Brief Historical Background... 661 The Fundamental Principles of Counting... 661 Multiplication Rule... 662 Corollary... 663 Permutations when some of the objects are Similar... 666

(xvi) Combination... 677 Brief Summary... 692 Self Practice Questions... 693 Answers... 695 CHAPTER 16 Theory of Probability-I Introduction... 697 A Brief Historical Background... 697 Different Approaches to Probability... 700 Emphirical or Statistical Approach (Von Mises)... 702 Axiomatic Approach... 703 Addition Theorems... 709 Corollary... 711 Solved Exercises... 712 Compound Probability... 718 Conditional Probability... 718 Multiplication Theorem... 719 Bayes Theorem... 730 Brief Summary... 742 Review Questions... 744 Self Practice Exercises... 744 Answers... 748 CHAPTER 17 Theory of Probability - II Random Variable... 750 Probability Function (or Density Function) of a Random Variable... 750 Expectation of Random Variable... 756

(xvii) Binomial Distribution... 760 Mean (or expectation) and Variance of the Binomial Distribution... 762 Fitting of a Binomial Distribution... 770 Poissons Distribution... 772 Fitting of a Poisson Distribution... 781 Solved Exercises... 789 Normal Approximation to Binomial Distribution... 802 Brief Summary... 805 Review Questions... 806 Self Practice Questions... 807 Answers... 813 Appendix... 815 CHAPTER 18 Linear Programming Formulation and Graphical Method Brief History... 817 Introduction... 817 Basic Requirement of Linear Programming... 818 Assumptions of Linear Programming Problems... 820 Business Application of Linear Programming Problem... 821 Guidelines for Formulation of Linear Programming Problem... 824 Graphical Method of Solving Linear Programming Problem... 836 The Corner or Extreme Point Method... 838 Iso-Profit or Iso-Cost Method... 852 Special Cases of Linear Programming... 853 Summary... 858 Self Practice Exercises... 858 Answers... 863

(xviii) CHAPTER 19 The Simplex Method and Duality Brief Introduction... 866 The Simplex Method (Maximization Case)... 866 Simplex Method for Minimization Case (all constraint type) Using Charne s Big M Method... 889 Some Typical Problems Encounter in Simplex method... 897 Duality... 897 Some of the Advantages of Duality... 909 Summary... 909 Self Practice Exercises... 910 Answers... 912 CHAPTER 20 Decision Theory and Decision Tree Introduction... 914 General Characteristics of Decision Making... 914 Some of the Steps in Decision Making Process... 915 Different Categories of Decision Making Models... 917 Maximin or Minimax Criterion (Pessimism Criterion)... 920 Maximax or Minimin Criterion (Optimism Criterion)... 921 Hurwicz Alpha Criterion... 922 Regret Criterion... 924 Decision Making Under Risk (Stochastic Models)... 927 Expected Opportunity Loss (EOL)... 930 Expected Value of Perfect Information (EVPI)... 932 Bayesian Analysis and Posterior Probabilities... 936

(xix) Decision Tree Analysis... 941 Summary... 946 Review Questions... 947 Self Practice Exercises... 947 Answers... 951 CHAPTER 21 Game Theory Brief History... 952 Introduction... 952 Key Terminology... 952 Saddle Point... 954 Types of Games... 954 Dominance Rule... 960 Arithmetic Method... 964 Algebraic Method... 967 Matrix Method... 971 Graphical Method... 975 Solution of Two Person Zero Sum Game by Linear Programming Method... 979 Summary... 984 Self Practice Exercises... 985 Answers... 987 Appendix... 989 CHAPTER 22 Mathematics of Finance Introduction... 991 What is Time Value?... 991 Some Key Terminology... 991

(xx) Concept of Simple and Compound Interest... 992 Compound Interest... 993 Nominal vs Effective Rate... 995 Future Value of a Single Sum... 997 Present Value of a Single Sum... 999 Annuities... 1001 Calculation of Future Value of an Ordinary Annuity (Using Time line Analysis)... 1001 Calculation of Present Value of an Ordinary Annuity (Using Time line Analysis)... 1004 Sinking Fund, Amortization and Capital Recovery... 1007 Future Value of an Annuity Due... 1010 Present Value of an Annuity Due... 1013 Bond Basics... 1015 Bond Valuation... 1016 Summary... 1017 Review Questions... 1018 Self Practice Exercises... 1019 Answers... 1020 Logarithms Tables... 1021 Index... 1033