- •Contents
- •Preface
- •Abbreviations
- •Notations
- •1 Introduction
- •2 Sequences; series; finance
- •3 Relations; mappings; functions of a real variable
- •4 Differentiation
- •5 Integration
- •6 Vectors
- •7 Matrices and determinants
- •8 Linear equations and inequalities
- •9 Linear programming
- •10 Eigenvalue problems and quadratic forms
- •11 Functions of several variables
- •12 Differential equations and difference equations
- •Selected solutions
- •Literature
- •Index
Literature
Anthony, M. and Biggs, N., Mathematics for Economics and Finance, Cambridge: Cambridge University Press, 1996.
Bronstein, I.N. and Semandjajew, K.A., Taschenbuch der Mathematik, twenty-fifth edition, Stuttgart: Teubner, 1991 (in German).
Chiang, A.C., Fundamental Methods of Mathematical Economics, third edition, New York: McGraw-Hill, 1984.
Dück, W., Körth, H., Runge, W. and Wunderlich, L. (eds), Mathematik für Ökonomen, Berlin: Verlag Die Wirtschaft, 1979 (in German).
Eichholz, W. and Vilkner, E., Taschenbuch der Wirtschaftsmathematik, second edition, Leipzig: Fachbuchverlag, 2000 (in German).
Kalischnigg, G., Kockelkorn, U. and Dinge, A., Mathematik für Volksund Betriebswirte, third edition, Munich: Oldenbourg, 1998 (in German).
Luderer, B. and Würker, U., Einstieg in die Wirtschaftsmathematik, Stuttgart: Teubner, 1995 (in German).
Mizrahi, A. and Sullivan, M., Mathematics. An Applied Approach, sixth edition, New York: Wiley, 1996.
Mizrahi, A. and Sullivan, M., Finite Mathematics. An Applied Approach, seventh edition, New York: Wiley, 1996.
Nollau, V., Mathematik für Wirtschaftswissenschaftler, third edition, Stuttgart and Leipzig: Teubner, 1999 (in German).
Ohse, D., Mathematik für Wirtschaftswissenschaftler I–II, third edition, Munich: Vahlen, 1994 (in German).
Opitz, O., Mathematik. Lehrbuch für Ökonomen, Munich: Oldenbourg, 1990 (in German). Rommelfanger, H., Mathematik für Wirtschaftswissenschaftler I–II, third edition, Hochschultaschen-
bücher 680/681, Mannheim: B.I. Wissenschaftsverlag, 1994 (in German). Rosser, M., Basic Mathematics for Economists, London: Routledge, 1993.
Schmidt, V., Mathematik. Grundlagen für Wirtschaftswissenschaftler, second edition, Berlin and Heidelberg: Springer, 2000 (in German).
Schulz, G., Mathematik für wirtschaftswissenschaftliche Studiengänge, Magdeburg: Otto-von- Guericke-Universität, Fakultät für Mathematik, 1997 (in German).
Simon, C.P. and Blume, L., Mathematics for Economists, New York and London: Norton, 1994. Sydsaeter, K. and Hammond, P.J., Mathematics for Economic Analysis, Englewood Cliffs, NJ:
Prentice-Hall, 1995.
Varian, H.R., Intermediate Microeconomics. A Modern Approach, fifth edition, New York: Norton, 1999.
Werner, F., Mathematics for Students of Economics and Management, sixth edition, Magdeburg: Otto-von-Guericke-Universität, Fakultät für Mathematik, 2004.
Index
-neighbourhood of point 387 n-dimensional space 231
nth derivative 163 nth partial sum 71
absolute value 37
amortization installment 90, 93 amortization table 93
amount of annuity 85 annuity 85, 90; ordinary 85 antiderivative 197
apex 129
approximation: by rectangles 215; by trapeziums 215
Argand diagram 49 argument 117 artificial variable 338 augmented matrix 291
auxiliary objective function 350
back substitution 301 basic solution 293
basis of vector space 245 Bernoulli–l’Hospital’s rule 178 binomial coefficient 28 bordered Hessian 426 break-even point 172
canonical form 293, 339 Cartesian product 24, 25 Cauchy–Schwarz inequality 237 chain rule 160, 398 characteristic equation 369
Cobb–Douglas production function 383, 404 Cobb–Douglas utility function 431
cobweb model 476 coefficient 288
coefficient of the polynomial 126 cofactor 265
column vector 230 complex number 47 component of vector 230
composite mapping 114, 272
composition 114 composition of relations 108 conclusion 3, 9
conjunction 2 constant-factor rule 199
constrained optimization problem 424 consumer surplus 225
continuous future income flow 222 contradiction 1, 5
convex combination 240, 310 convex polyhedron 334 coordinate of vector 230 cosine function 141 cotangent function 141 Cramer’s rule 269
criterion: Leibniz 77; quotient 78; root 79 critical point 170
debt 90
definite solution 448 degeneration case 351 degree of freedom 292 demand-price-function 172 dependent variable 117 deposits 85
depreciation: arithmetic-degressive 101; degressive 101; digital 102; geometric-degressive 102; linear 101; table 101
derivative 156; directional 399; partial 387; second 163
determinant: Casorati’s 473; Wronski’s 452 determinant of matrix 264
difference equation: linear 472, of the first order 474, of second order 478
difference of vectors 233 difference quotient 155 difference set 17
differential equation 444; homogeneous 451; non-homogeneous 451; ordinary 444; with separable variables 447
differential of function 164 differential quotient 156
514 Index
dimension of a vector space 245 dimension of matrix 255 direction field 445
disjunction 2
domain of the function 110, 117 domain of the mapping 110 double integral 436
downward parabola 128 dual problem 358
duality 357; economic interpretation 361
effective rate of interest 83 eigenvalue 368 eigenvalue equation 369 eigenvector 368
elasticity 166, 183
elementary transformation 292 empty set 16
entering variable 342 equal matrices 256 equal vectors 232 equivalence 4
equivalent transformation 292 Euclidean distance 236 Euler’s theorem 404
extreme point 310
factor of the polynomial 131 Falk’s scheme 260
feasible region 309 first-derivative test 170
first-order differential equation 445 first-order partial derivative 390 forcing term 451
function 110; algebraic 136; antisymmetric 124; arccosine 143; arccotangent 143; arcsine 143;
arctangent 143; bounded 123; bounded from: above 123, below 123; circular 140; complementary 453; concave 125, 175; constant 126; continuous 151, 387; continuously differentiable 156; convex 125, 175; cubic 126; decreasing 121, 168; differentiable 156; elastic 167; even 124; exponential 137; homogeneous of
degree k 403; implicitly defined 405; increasing 121, 168; inelastic 167;
inside 120; left-continuous 154; linear 126; logarithmic 138; non-decreasing 121, 168; non-increasing 121, 168; odd 124;
outside 120; periodic 125; propositional 7; quadratic 126; rational 134, improper 134, proper 134; right-continuous 154; strictly concave 125, 175; strictly convex 125, 175; strictly decreasing 121, 168; strictly increasing 121, 168; symmetric 124; trigonometric 140
function of a real variable 117 fundamental system of the differential
equation 453
fundamental theorem of algebra 130
Gauss–Jordan elimination 293 Gaussian elimination 293, 299
general solution of the differential equation 445, 448, 453
general solution of the system of linear equations 289
generalized chain rule 398
geometric interpretation of an LPP 330 Gini coefficient 224
global maximum 169, 410 global maximum point 169, 410 global minimum 169, 410 global minimum point 169, 410 global sufficient conditions 434 gradient of function 392
Hessian matrix 411 higher-order derivative test 171
higher-order partial derivative 391 Horner’s scheme 132
hypothesis 3
identity matrix 257
imaginary part of the complex number 47 implication 3
implicit-function theorem 408 independent variable 117 indeterminate form 178 inflection point of function 176 initial value problem 448
inner product 235 input–output model 277
integral: definite 210; improper 219, 221; indefinite 198
integrand 198 integration by parts 204
integration by substitution 200 interest 80; compound 81; simple 80 inverse 273
inverse demand function 172 inverse element 244 investment project 97 isoquant 384, 445
Jacobian determinant 407
Kepler’s formula 217 kernel 271
Lagrange multiplier method 425
Lagrange’s theorem 425
Lagrangian function 425
Lagrangian multiplier 425
law: associative 6, 19, 235, 259;
commutative 6, 19, 235, 259; distributive 6, 19, 235, 259; of de Morgan 6
leading principal minor 379 leaving variable 342
length of vector 236 Leontief model 277 limit of sequence 65
limit of function 148; left-side 149; right-side 149
linear combination 240
linear differential equation of order n 451 linear objective function 329
linear programming problem 329 linear space 244
linear substitution 200 linearly dependent vectors 241
linearly independent vectors 241 loan: amortized 90
loan repayments 90 local maximum 169, 410
local maximum point 169, 410, 423 local minimum 169, 410
local minimum point 169, 410, 423 local sufficient condition 426 logarithmic differentiation 162 Lorenz curve 224
mapping 110; bijective 112; identical 116, 273; injective 112; inverse 114; linear 271; surjective 112
marginal 156 marginal cost 213, 389 marginal function 156
marginal propensity to consume 159 market price 225
matrix 255; antisymmetric 256; diagonal 257; indefinite 377; inverse 273; invertible 273; lower triangular 257; negative definite 377; negative semi-definite 377; orthogonal 263; positive definite 377; positive
semi-definite 377; symmetric 257; upper triangular 257
matrix difference 258 matrix product 260 matrix representation 288
matrix representation of an LPP 330 matrix sum 258
mean-value theorem 184, 214
method: of undetermined coefficients 456 minor 265
mixed LPP 360 monopolist 172
monotonicity of function 168 mortgage 94 multiplier-accelerator-model 480
Index 515
necessary first-order conditions 411 negation 2
negative integer 32
neutral element 244, 258, 261 Newton’s method 189
Newton’s method of second order 190 Newton–Leibniz’s formula 210 non-negativity constraint 309, 329 norm 236
number: irrational 32; natural 32; rational 32; real 32
objective row 340
one-parametric set of solutions 299 one-to-one mapping 112 onto-mapping 112
operation: logical 1 optimal solution 330 optimality criterion 341
optimization by substitution 425 order of matrix 255
order of the differential equation 444 orthogonal vectors 239
parabola 128
partial differential 394 partial elasticity 403 partial rate of change 402 particular solution 448 Pascal’s triangle 29
payment: annual 85; periodic 85 period of function 125
periods for interest 85 permutation 26
pivot 300, 342 pivot column 342
pivot element 300, 342 pivot row 342
pivoting procedure 294, 339 polar form of complex number 49 pole of second order 222 polynomial 126
polynomial function 126 power function 136 power set 16
premises 9
present value of annuity 86 price–demand function 195 primal problem 358 principal 80
producer surplus 226 production function 383 profit function 416
proof: by induction 13; direct 10; indirect 10, of contradiction 10, of contrapositive 10
proportional rate of change 166
516 Index
proposition: compound 1, 5; existential 8; false 1; open 7; true 1; universal 8
Pythagorean theorem 238
quadratic form 376; indefinite 377; negative definite 377; negative semi-definite 377; positive definite 377; positive semi-definite 377
radian 141
range of the function 110, 117 range of the mapping 110 rank of matrix 290
rate of interest 80
real part of complex number 47 rectangle formula 248 rectangle rule 297
redemption table 90, 94 regula falsi 191
relation: binary 107; inverse 108; reflexive 107; symmetric 107
remainder 130 remainder theorem 130 rentability 98
return to scale 403; decreasing 404; increasing 404
Riemann integral 210 right-hand side 288 right-hand side vector 330 Rolle’s theorem 184
root function 136
root of the function 128 row vector 230
saddle point 412 Sarrus’ rule 265
scalar multiplication 233, 258 scalar product 235
sequence 61; arithmetic 62; bounded 65; decreasing 64; geometric 63; increasing 64; strictly decreasing 64; strictly increasing 64
series 73; alternating 77; geometric 75; harmonic 74
set 15; cardinality 15; complement 17; convex 310; disjoint 17; finite 15; infinite 15; intersection 17; union 16
set of feasible solutions 309 set of solutions 289 shadow price 361
short form of the tableau 341 simplex algorithm 343 simplex method 339 Simpson’s formula 218
sine function 141 slack variable 315, 337
smallest subscript rule 344
solution of systems of linear equations 289 solution of systems of linear inequalities 309;
degenerate 314; feasible 309; non-degenerate 314
solution of the differential equation 445 solutions: linearly dependent 452, 473; linearly
independent 452, 473
square matrix: non-singular 269; regular 269; singular 269
standard form of an LPP 336 stationary point 170, 411 Steinitz’s procedure 248 straight line 127
subset 16
sufficient second-order conditions 411 sum of the infinite series 73
sum of vectors 233 sum–difference rule 199 surface 384
surplus variable 337
system: consistent 291; homogeneous 289, 302; inconsistent 291; non-homogeneous 289
system of linear equations 287 system of linear inequalities 308
tangent function 141 tautology 5
Taylor polynomial 187 Taylor’s formula 187 total differential 394 transition matrix 262 transpose of matrix 256 transposed vector 230 trivial solution 292 truth table 2
unit vector 232 unknown 288 upward parabola 129 utility function 431
variable 288; basic 293; non-basic 293 vector 230
vector space 244, 259 Venn diagram 17 Vieta’s theorem 133
withdrawals 86
Young’s theorem 392
zero element 244 zero matrix 258
zero of the function 128
Advanced Mathematical
Economics
Rakesh V. Vohra, Northwestern University, USA
As the intersection between economics and mathematics continues to grow in both theory and practice, a solid grounding in mathematical concepts is essential for all serious students of economic theory.
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