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Basic Mathematics for Economists 2nd New edition [Minkštas viršelis]

3.89/5 (38 ratings by Goodreads)
  • Formatas: Paperback / softback, 528 pages, aukštis x plotis: 245x170 mm, weight: 980 g
  • Išleidimo metai: 13-Mar-2003
  • Leidėjas: Routledge
  • ISBN-10: 0415267846
  • ISBN-13: 9780415267847
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 528 pages, aukštis x plotis: 245x170 mm, weight: 980 g
  • Išleidimo metai: 13-Mar-2003
  • Leidėjas: Routledge
  • ISBN-10: 0415267846
  • ISBN-13: 9780415267847
Kitos knygos pagal šią temą:
Economics students will welcome the new edition of this excellent textbook. Mathematics is an integral part of economics and understanding basic concepts is vital. Many students come into economics courses without having studied mathematics for a number of years. This clearly written book will help to develop quantitative skills in even the least numerate student up to the required level for a general Economics or Business Studies course. This second edition features new sections on subjects such as:



matrix algebra



part year investment



financial mathematics



Improved pedagogical features, such as learning objectives and end of chapter questions, along with the use of Microsoft Excel and the overall example-led style of the book means that it will be a sure fire hit with both students and their lecturers.

Recenzijos

`Comprehensive and straightforward. Written for students rather than peers.' - Stephen Hill, Cardiff Business School

Preface ix
Preface to Second Edition xi
Acknowledgements xii
Introduction
1(7)
Why study mathematics?
1(2)
Calculators and computers
3(2)
Using the book
5(3)
Arithmetic
8(26)
Revision of basic concepts
8(1)
Multiple operations
9(2)
Brackets
11(1)
Fractions
12(3)
Elasticity of demand
15(3)
Decimals
18(3)
Negative numbers
21(2)
Powers
23(3)
Roots and fractional powers
26(3)
Logarithms
29(5)
Introduction to algebra
34(29)
Representation
34(2)
Evaluation
36(2)
Simplification: addition and subtraction
38(2)
Simplification: multiplication
40(5)
Simplification: factorizing
45(4)
Simplification: division
49(2)
Solving simple equations
51(5)
The summation sign Σ
56(3)
Inequality signs
59(4)
Graphs and functions
63(46)
Functions
63(2)
Inverse functions
65(3)
Graphs of linear functions
68(5)
Fitting linear functions
73(3)
Slope
76(5)
Budget constraints
81(5)
Non-linear functions
86(4)
Composite functions
90(5)
Using Excel to plot functions
95(4)
Functions with two independent variables
99(5)
Summing functions horizontally
104(5)
Linear equations
109(59)
Simultaneous linear equation systems
109(1)
Solving simultaneous linear equations
110(1)
Graphical solution
110(2)
Equating to same variable
112(3)
Substitution
115(1)
Row operations
116(2)
More than two unknowns
118(3)
Which method?
121(5)
Comparative statics and the reduced form of an economic model
126(9)
Price discrimination
135(6)
Multiplant monopoly
141(27)
Appendix: linear programming
148(20)
Quadratic equations
168(21)
Solving quadratic equations
168(1)
Graphical solution
169(4)
Factorization
173(3)
The quadratic formula
176(2)
Quadratic simultaneous equations
178(4)
Polynomials
182(7)
Financial mathematics: series, time and investment
189(58)
Discrete and continuous growth
189(2)
Interest
191(5)
Part year investment and the annual equivalent rate
196(6)
Time periods, initial amounts and interest rates
202(5)
Investment appraisal: net present value
207(11)
The internal rate of return
218(6)
Geometric series and annuities
224(6)
Perpetual annuities
230(4)
Loan repayments
234(6)
Other applications of growth and decline
240(7)
Introduction to calculus
247(25)
The differential calculus
247(2)
Rules for differentiation
249(3)
Marginal revenue and total revenue
252(6)
Marginal cost and total cost
258(3)
Profit maximization
261(2)
Respecifying functions
263(2)
Point elasticity of demand
265(2)
Tax yield
267(2)
The Keynesian multiplier
269(3)
Unconstrained optimization
272(19)
First-order conditions for a maximum
272(1)
Second-order condition for a maximum
273(3)
Second-order condition for a minimum
276(1)
Summary of second-order conditions
277(3)
Profit maximization
280(2)
Inventory control
282(3)
Comparative static effects of taxes
285(6)
Partial differentiation
291(43)
Partial differentiation and the marginal product
291(5)
Further applications of partial differentiation
296(11)
Second-order partial derivatives
307(5)
Unconstrained optimization: functions with two variables
312(13)
Total differentials and total derivatives
325(9)
Constrained optimization
334(30)
Constrained optimization and resource allocation
334(1)
Constrained optimization by substitution
334(8)
The Lagrange multiplier: constrained maximization with two variables
342(6)
The Lagrange multiplier: second-order conditions
348(2)
Constrained minimization using the Lagrange multiplier
350(5)
Constrained optimization with more than two variables
355(9)
Further topics in calculus
364(31)
Overview
364(1)
The chain rule
364(8)
The product rule
372(5)
The quotient rule
377(4)
Individual labour supply
381(3)
Integration
384(4)
Definite integrals
388(7)
Dynamics and difference equations
395(37)
Dynamic economic analysis
395(1)
The cobweb: iterative solutions
396(9)
The cobweb: difference equation solutions
405(9)
The lagged Keynesian macroeconomic model
414(12)
Duopoly price adjustment
426(6)
Exponential functions, continuous growth and differential equations
432(33)
Continuous growth and the exponential function
432(2)
Accumulated final values after continuous growth
434(3)
Continuous growth rates and initial amounts
437(3)
Natural logarithms
440(6)
Differentiation of logarithmic functions
446(1)
Continuous time and differential equations
447(1)
Solution of homogeneous differential equations
448(4)
Solution of non-homogeneous differential equations
452(4)
Continuous adjustment of market price
456(5)
Continuous adjustment in a Keynesian macroeconomic model
461(4)
Matrix algebra
465(45)
Introduction to matrices and vectors
465(4)
Basic principles of matrix multiplication
469(3)
Matrix multiplication -- the general case
472(6)
The matrix inverse and the solution of simultaneous equations
478(3)
Determinants
481(3)
Minors, cofactors and the Laplace expansion
484(3)
The transpose matrix, the cofactor matrix, the adjoint and the matrix inverse formula
487(5)
Application of the matrix inverse to the solution of linear simultaneous equations
492(5)
Cramer's rule
497(2)
Second-order conditions and the Hessian matrix
499(6)
Constrained optimization and the bordered Hessian
505(5)
Answers 510(13)
Symbols and terminology 523(2)
Index 525