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 №  Condition free/or 0.5$
m82986Suppose that x* = (x*1, x*2,..., x*n) is a Pareto-efficient allocation in an exchange economy (example 1.117) in which each of the n consumers has an endowment wi ∈ ℜl+ of the l commodities. Assume that • Individual preferences ≿i are convex, continuous and strongly monotonic • x* is a feasible allocation, that is Show that there exists • A list of prices p* ∈ ℜl+ and • A system of lump-sum taxes and transfers t ∈ ℜn with ∑i ti = 0 such that (p*, x*) is a competitive equilibrium in which each consumer s after-tax wealth is mi = (p*)Twi + ti. buy
m82987Suppose that (x*, y*) is a local optimum of subject to g(x, y) = 0 and y > 0 and a regular point of g. Then there exist multipliers λ1, λ2, . . . , λm such that With buy
m82989Suppose that Y is compact. f: X → Y is continuous if and only if graph(f) = {(x, y): y = f(x),x ∊ X} is a closed subset of X × Y. buy
m82990Suppose that Y is compact. The correspondence buy
m83041The budget set is convex. Remark 1.22 In establishing that the budget set is compact (exercise 1.231), we relied on the assumption that the choice was over n distinct commodities so that the consumption set is finite dimensional, X ⊂ Rn. In more general formulations involving intertemporal choice or uncertainty, it is not appropriate to assume that the consumption set is finite dimensional. Then, compactness of the budget set is more problematic. Note, however, that finite dimensionality is not required to establish that the budget set is convex (exercise 1.232). buy
m83045The CES function is convex on ℜn+ if p ≥ 1. buy
m83051The collection of all convex subsets of a linear space ordered by inclusion forms a complete lattice. buy
m83054The cone T(x*) of tangents to a set G at a point x* is a nonempty closed cone. See figure 5.10. Figure 5.10 Examples of the cone of tangents buy
m83055The conic hull of a set of vectors S is the smallest convex cone in X containing S. buy
m83056The constraint g satisfies the Slater constraint qualification condition if there exist ^x A X with  Show that this implies that a > 0. buy
m83057The consumer maximization problem is one in which it is possible to solve the constraint explicitly, since the budget constraint is linear. Characterize the consumer s optimal choice using this method, and compare your derivation with that in example 5.15. buy
m83059The controls {f-1(y): y ∊ Y} of a function f: X → Y partition the domain X. For any particular y ∊ Y, its pre image f -1(y) may be • Empty • Consist of a single element • Consist of many elements Where f -1(y) consists of one and only one element for every y ∊ Y, the pre image defines a function from Y → X whish is called the inverse function. It is denoted f -l. buy
m83061The convex hull of a set of vectors S is the smallest convex subset of X containing S. buy
m83062The core of a TP-coalitional game is convex. buy
m83066The definition of super modularity utilizes the linear structure of ℜ. Show that super modularity implies the following strictly ordinal property buy
m83068The derivative of a function is unique. buy
m83070The determinant of symmetric operator is equal to the product of its eigenvalues. buy
m83076The dynamic programming problem (example 2.32) subject to xt+1 ∊ G(xt), t = 0, 1, 2, . . . , x0 ∊ X gives rise to an operator on the space B(X) of bounded functionals (exercise 2.16). Assuming that • f is bounded and continuous on X × X • G(x) is nonempty, compact-valued, and continuous for every x ∊ X show that T is an operator on the space C(X) of bounded continuous functionals on X (exercise 2.85), that is Tv ∊ C(X) for every v ∊ C(X). buy
m83078The elasticity of a function f: ℜ → ℜ is defined to be In general, the elasticity varies with x. Show that the elasticity of a function is constant if and only if it is a power function, that is, f (x) = Axa buy
m83085The exponential function is ``bigger than the power function, that is, buy
 
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