Archives

  • 2018-07
  • 2018-10
  • 2018-11
  • 2019-04
  • 2019-05
  • 2019-06
  • 2019-07
  • 2019-08
  • 2019-09
  • 2019-10
  • 2019-11
  • 2019-12
  • 2020-01
  • 2020-02
  • 2020-03
  • 2020-04
  • 2020-05
  • 2020-06
  • 2020-07
  • 2020-08
  • 2020-09
  • 2020-10
  • 2020-11
  • 2020-12
  • 2021-01
  • 2021-02
  • 2021-03
  • 2021-04
  • 2021-05
  • 2021-06
  • 2021-07
  • 2021-08
  • 2021-09
  • 2021-10
  • 2021-11
  • 2021-12
  • 2022-01
  • 2022-02
  • 2022-03
  • 2022-04
  • 2022-05
  • 2022-06
  • 2022-07
  • 2022-08
  • 2022-09
  • 2022-10
  • 2022-11
  • 2022-12
  • 2023-01
  • 2023-02
  • 2023-03
  • 2023-04
  • 2023-05
  • 2023-06
  • 2023-07
  • 2023-08
  • 2023-09
  • 2023-10
  • 2023-11
  • 2023-12
  • 2024-01
  • 2024-02
  • 2024-03
  • 2024-04
  • 2024-05
  • either br Preliminaries Respect to notions coming from conve

    2018-10-23


    Preliminaries Respect to notions coming from convex analysis, used here, were adopted those from Rockafellar (1974) (convexity, concavity, inner product, lower (upper) semi continuity, proper functions, etc.). It is well known that Fenchel\'s conjugate plays an important role for instance in Functional Analysis, Convex Analysis and Optimization theory. From mathematical point is view, there are a lot of works in the literature. For example in Rockafellar (1974) make a systematic study for Convex Analysis, the series of works (Singer, 1986, 1989, 1991) treat the Duality Theory for Optimization Theory, in Martinez Legaz (2005) treat generalized convex duality and its economical applications, etc. In Production Theory, “revenue minus production costs generate profit firm”, so Fenchel\'s conjugate (Fenchel, 1949) of a proper convex lower semi continuous function, which represent production cost of a firm is nothing else that maximum profile (see Section 2). As this natural interpretation of Fenchel\'s conjugate notion, there are many properties of Fenchel\'s conjugate, for considering it either as an interesting tool in Economic Theory. For example, the involution property for proper convex lower semi continuous functions. This involution property say that the biconjugate of a proper convex lower semi continuous function is exactly the original function, because biconjugate is nothing else that closed convexification of original function. This property is very important in Convex Duality Theory, because the optimal value of dual problem of a convex problem, when it is generated by a proper convex lower semi continuous perturbed function, is exactly the optimal values of the original convex problem. When it occur, we say that there is no duality gap. Unfortunately, Fenchel\'s conjugate notion was introduced exclusively for proper convex lower semi continuous functions and convexity (or concavity) is no a natural assumption in Economic Theory. Twenty one years after to Fenchel contribution, Moreau generalized Fenchel\'s conjugate (Moreau, 1970), but this involution property no hold in general and dual problem may be no convex. Recently (2011), was introduced a Fenchel–Moreau conjugate for lower semi continuous functions, where this involution holds and so we can again maintain the economical interpretation of Fenchel\'s conjugate. In particular, our work try to applied Fenchel–Moreau conjugate to consumer problem. Firstly, in Section 2, we make a briefly introduction to Fenchel and Fenchel–Moreau conjugate and its importance in convex duality. we finished Section 2 introducing upper, lower closed functions. Here, the family of lower (upper) semi continuous functions are included strictly in the family of lower (upper) closed function. Moreover, Representation Theorem (Theorem I in Debreu et al., 1983, p. 108) establish that when is completely ordered by the order ⪯ we have that: If for any the sets and are closed, there exists on a continuous, real, order preserving function. We point out that there exists a family of closed real order preserving functions (closed function is such that nicotine adenine dinucleotide phosphate (NADP+) is lower and upper closed simultaneously). For this reason we work with upper (lower) closed functions. Then, in Section 3 we establish son results in order to characterize the solution set of consumer problem using Fenchel–Moreau conjugate. Finally, in Section 3.1 we build a dual problem for the consumer problem, adapting the conjugate for lower semi continuous functions introduced in Cotrina et al. (2011) to lower closed functions.
    Fenchel and Fenchel–Moreau conjugate In 1949, Fenchel introduced the conjugate notion for convex and lower semi continuous functions based on the well known fact that many inequalities used in functional analysis (such as Minkowski, Jensen, and Young) may be considered as a consequence of the convexity of a pair of functions, which Fenchel called “conjugate functions.” In a more precise formulation, Fenchel\'s result is the following: To each proper convex and lower semi continuous function , there corresponds a function with the same either properties of f, such thatfor all x and y in . Here, functions f and f* are called conjugate functions, and f* is defined as follows: