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Economists' Mathematical Manual

Knut Sydsæter Arne Strøm Peter Berck

4.

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Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2005 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-540-26088-2

ISBN electrónico

978-3-540-28518-2

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag Berlin Heidelberg 2005

Cobertura temática

Tabla de contenidos

Set Theory. Relations. Functions

Knut Sydsæter; Arne Strøm; Peter Berck

Let be a relation from to and a relation from to . Then we define the ○ of and as the set of all (, ) in × such that there is an element in with and . ○ is a relation from to .

Pp. 1-6

Equations. Functions of one variable. Complex numbers

Knut Sydsæter; Arne Strøm; Peter Berck

Let be the number of changes of sign in the sequence of coefficients , , … , , in (2.8). The number of positive real roots of () = 0, counting the multiplicities of the roots, is or minus a positive even number. If = 1, the equation has exactly one positive real root.

Pp. 7-19

Limits. Continuity. Differentiation (one variable)

Knut Sydsæter; Arne Strøm; Peter Berck

Any function built from continuous functions by additions, subtractions, multiplications, divisions, and compositions, is continuous where defined.

Pp. 21-25

Partial derivatives

Knut Sydsæter; Arne Strøm; Peter Berck

Let () be a continuous, homothetic function defined in a connected cone . Assume that is strictly increasing along each ray in , i.e. for each ≠ in , () is a strictly increasing function of . Then there exist a homogeneous function and a strictly increasing function such that () = (()) for all in

Pp. 27-33

Elasticities. Elasticities of substitution

Knut Sydsæter; Arne Strøm; Peter Berck

• When is a utility function, and and are goods, is called the (abbreviated MRS).

• When is a production function and and are inputs, is called the (abbreviated MRTS).

• When (, ) = 0 is a production function in implicit form (for given factor inputs), and and are two products, is called the (abbreviated MRPT).

Pp. 35-38

Systems of equations

Knut Sydsæter; Arne Strøm; Peter Berck

System (6.4) has if there is a set of of the variables that can be freely chosen such that the remaining − variables are uniquely determined when the variables have been assigned specific values. If the variables are restricted to vary in a set in ℝ, the system has .

Pp. 39-45

Inequalities

Knut Sydsæter; Arne Strøm; Peter Berck

If is convex on the interval and is a random variable with finite expectation, then ([]) ≤ [()] If is strictly convex, the inequality is strict unless is a constant with probability 1.

Pp. 47-48

Series. Taylor’s formula

Knut Sydsæter; Arne Strøm; Peter Berck

If a series is absolutely convergent, then the sum is independent of the order in which terms are summed. A conditionally convergent series can be made to converge to any number (or even diverge) by suitable rearranging the order of the terms.

Pp. 49-53

Integration

Knut Sydsæter; Arne Strøm; Peter Berck

Definition of the of the integral. and are constants. Special integration results.

Pp. 55-62

Difference equations

Knut Sydsæter; Arne Strøm; Peter Berck

The solutions of a homogeneous, linear secondorder difference equation with constant coefficients and . , , and are arbitrary constants. If the function is itself a solution of the homogeneous equation, multiply the trial solution by . If this new trial function also satisfies the homogeneous equation, multiply the trial function by again. (See Hildebrand (1968), Sec. 1.8 for the general procedure.)

Pp. 63-68