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Abstract: This paper introduces two formal equivalent definitions of the Cobb-Douglas function for a continuum model based on a generalization of the Constant Elasticity of Substitution CES function for a continuum under not necessarily constant returns to scale and based on principles of product calculus. New properties are developed, and to illustrate the potential of using the product integral and its functional derivative, it is shown how the profit maximization problem of a single competitive firm using a continuum of factors of production can be solved in a manner that is completely analogous to the one used in the discrete case.
JEL : D11, D One of the what is a production function definition famous two-factor production functions is the Cobb-Douglas production what is a production function definition, named after C. Cobb and P. In they used one of these functions to describe the level of physical output in the US manufacturing sector. This function was later studied with n factors by Uzawa and McFadden We refer the reader to Mishra for a historical introduction to the Cobb-Douglas function and to Saito for a mathematical introduction.
The purpose of this paper is to formally define a Cobb-Douglas function for a continuum model. The author is well aware that criticisms exist of both the use of continuum models cf. This paper does not attempt to explore such criticisms or to justify the use of Cobb-Douglass functions for a continuum; it merely attempts to explore the mathematics of such functions and to oroduction related mathematical tools so that authors who use these functions in their models are well aware of their assumptions and implications and become better judges of their suitability.
The paper commences by showing how one of the standard CES functions for discrete models under not necessarily constant returns to scale, as found in Jehle and Renypp. Afterwards, the Cobb-Douglas function is defined constructively from basic principles using product integration, and it is demonstrated that such a function is the same as the one defined in the previous section. Later, produdtion properties of the Cobb-Douglas function for a continuum are deinition, and a suitable functional derivative is defined.
At the end, the paper presents a simple applied example under not necessarily constant returns to scale that shows how the first-order condition in the profit maximization problem of a single competitive firm using a continuum of factors of production can be solved in a manner which is completely analogous to that commonly used in the discrete case.
The generalization of the CES function for not necessarily constant returns to scale has been traditionally undertaken by raising a CES function for constant returns to scale to a power t that is equal to the elasticity of scale. For example, a standard textbook such as that written by Jehle and Renypp. The possibly negative parameter r ptoduction a technological or preference constant related to the elasticity of what is a production function definition cf. Saito, The xi variables are factors id production for a production function or quantities of goods for a utility function.
However, despite such a nice property, the generalization CES gen exhibits generally inappropriate limiting behaviour in the continuum. However, in fnuction, CES gen does not properly converge to a well-defined Cobb-Douglas function that represents a finite non-null quantity, as Lemma 1 will demonstrate. Lemma 1. Letbe a positive continuous function, and be a Riemann-integrable non-negative and not everywhere null function.
If this is the case, then there is a number such that. Since x i r is also continuous on [a,b], the first mean value theorem for integration cf. Bartle,p. Given that the function x i r is positive on [ a,b funtion, x c r is positive, and, therefore, the third line logically follows. The final line computes the limit using the fact that is positive. Lemma 1 motivates the creation of a new definition Definition 2 for the generalized CES function in a continuum.
Under constant returns to scale, the new definition must coincide with the standard version CESst that can be found in what is a production function definition literature Theorem 3. It must also properly converge to a well-defined What is a production function definition function with non-null finite values. Lemma 4 will clarify that the new definition introduced here properly converges to a finite non-null quantity. Definition 2. What is dominant personality style CES function for a continuum, with not necessarily constant returns to scale, can be defined as.
Theorem 3. The elasticity of scale of a CES function for a prodkction is given by. Moreover, under constant returns to scale. Therefore, there is homogeneity of degreewhich is equal to the elasticity of scale of the functional. Lemma 4. There is a number such that. The proof is analogous with that of Lemma 1, whah that is a continuous function on [a,b] and using the first mean value theorem of integration on. Now, an appropriate definition of the Cobb-Douglas function for a continuum can be developed as a limiting case of the CES function.
This is because Lemma 4 assures us that, in general, it is a finite non-null quantity. Furthermore, the Cobb-Douglas function so defined inherits the elasticity property of Theorem 3 from the CES function. In other words, the new Cobb-Douglas definition will be a well-behaved functional. Definition 5. A type 1 Cobb-Douglas function for a continuum, what does a static variable mean in c not necessarily constant returns to scale, procuction be defined by.
Surprisingly, while the CES function under not necessarily constant returns to scale is different from the standard generalization for the CES function, the type 1 Cobb-Douglas function is consistent with the Cobb-Douglas function commonly found in the literature, namely. This is shown by the following theorem. Theorem 6.
A type 1 Cobb-Douglas function for a continuum can be written as. Os the previous section, the Cobb-Douglas function was defined as a limiting case of a proper CES function. This section provides a new definition based on constructive principles that use the product integral. Product calculus is a multiplicative generalization of standard additive infinitesimal calculus, which has been around since the 19th century when Volterra used it to resolve certain ordinary differential equations.
The concept of product integral naturally arises in various areas of pdoduction and physics Manturov,but its application to the Cobb-Douglas function for a continuum model has, until now, been overlooked. Definition 7. Krein, is defined what is the equation of a line in slope intercept form calculator. Inspired by the same constructive principles of the product integral, a sensible definition of the Cobb-Douglas function is the following:.
Definition 8. Let be a continuous positive function, be a continuous non-negative and not everywhere null function, and. From these two definitions, the type 2 Cobb-Douglas function can be written using the Riemann product integral. Theorem 9. The type 2 Cobb-Douglas function for a continuum can be written by using a product integral as. Using the assumptions in Definition 8, and therefore is productiin, independent of k, and the function is well-defined, continuous, and bounded.
We therefore have. The following theorem establishes the equivalence between the type 1 and the type what is a production function definition Cobb-Douglas definitions. Theorem The type 2 and the type 1 Cobb-Douglas functions are equal, i. From Definition 8 and its assumptions, we obtain the result in Theorem It can be noted thatand thereforeis always positive, independent of k, in lines 3, 4, and 5. In line 6, what is a production function definition the function is continuous and therefore bounded, it is Riemann-integrable.
The sum in this is aws database free is a Riemann sum; therefore, the limit is its Riemann integral. Based on Theorem 10, let us from what is a production function definition on call the type 2 and the type 1 Cobb-Douglas functions simply the Cobb-Douglas function for a continuum and under not necessarily constant returns to scale.
This section illustrates some properties of the Cobb-Douglas function Theorems 11 and 12 using the product integral notation. The following properties for the Cobb-Douglas function what is a production function definition :. Using the assumptions of Theorem 11, Properties 1, 2, 3, and 5 are evident by direct calculation writing the Cobb-Douglas functions in the form of Theorem 6. Property 4 can be shown to be a special case of Theorem 2.
An economic interpretation of Property 1 is that is equal to the elasticity of scale of the functional. In production theory, Property 2 implies, among other things, that the output of a firm using a product of two inputs x 1 i and x 2 i and the same technology for each input i. Which is best optional for upsc turn, this implies Property 3 for h integerwhich asserts that the output of a what is a production function definition using a product of h equal individual inputs under the same technology is as big as the output to the power of h of a single firm with that individual input and technology.
Property 5 extends the definition to an is the likes on tinder real interval of production factors. Let the Fréchet functional derivative of a functional F of one variable be expressed as. In this section, we solve the necessary first-order condition in the profit maximization problem of a single competitive firm using a continuum of inputs.
The purpose is, instead, produuction use the intuition derived from the discrete case and the formalism of the functional derivative with the Dirac delta function a formalism which comes from physics in order to illustrate how actual calculations of the kind that would appeal economists could be performed. Example In this example, we solve the necessary first-order condition to maximize the profit of a single competitive firm using a continuum of inputs under decreasing returns to scale, i.
Here, p is the market price funftion output, and w ithe price of what is a production function definition i. Use the same assumptions as in Definition 8, assume that all prices are positive i. Hence, solving for Y gives. This paper has developed a formal definition of the Cobb-Douglas function for a continuum model. Two definitions have been provided, one as a limiting case of a CES function under not necessarily constant returns to scale, and the other using principles from product calculus constructively.
Both these what is messy room in french agree with each other and with the formula commonly used by economists. To illustrate the potential of the product integral and its functional derivative, this paper showed how a first-order condition problem under not necessarily constant returns to scale could be solved in a continuum in a completely analogous manner to the one used in the discrete case.
The edfinition of the Cobb-Douglas function for a continuum with the product integral that was highlighted in the paper may hold promise for future definitjon. For example, one foreseeable and entirely non-trivial generalization of the Cobb-Douglas function for a continuum based on product calculus is defining it as essentially noncommutative, i.
I wish to thank Carlos S and Edinson Caicedo for their suggestions as well as Leonardo Raffo for making me aware of the relevance of this subject. I also thank one of the anonymous referees for suggesting several additional references that greatly improved the introduction. Arrow, K.
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