2,629 research outputs found
Imitators and Optimizers in Cournot Oligopoly
We present a formal model of symmetric n-firm Cournot oligopoly with a heterogeneous population of profit optimizers and imitators. Imitators mimic the output decision of the most successful firms of the previous round a la Vega-Redondo (1997). Optimizers play myopic best response to the opponents' previous output. The dynamics of the decision rules induce a Markov chain. As expression of bounded rationality, firms are allowed to make mistakes and deviate from the decision rules with a small probability. Applying stochastic stability analysis, we characterize the long run behavior of the oligopoly. We find that the long run distribution converges to a recurrent set of states in which imitators are better off than optimizers. This finding appears to be robust even when optimizers are more sophisticated. It suggests that imitators drive optimizers out of the market contradicting a fundamental conjecture by Friedman (1953).imitation, myopic best reply, bounded rationality, profit maximization hypothesis, stochastic stability, learning, Stackelberg
From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming
We consider linear programming (LP) problems in infinite dimensional spaces
that are in general computationally intractable. Under suitable assumptions, we
develop an approximation bridge from the infinite-dimensional LP to tractable
finite convex programs in which the performance of the approximation is
quantified explicitly. To this end, we adopt the recent developments in two
areas of randomized optimization and first order methods, leading to a priori
as well as a posterior performance guarantees. We illustrate the generality and
implications of our theoretical results in the special case of the long-run
average cost and discounted cost optimal control problems for Markov decision
processes on Borel spaces. The applicability of the theoretical results is
demonstrated through a constrained linear quadratic optimal control problem and
a fisheries management problem.Comment: 30 pages, 5 figure
Polly's Polyhedral Scheduling in the Presence of Reductions
The polyhedral model provides a powerful mathematical abstraction to enable
effective optimization of loop nests with respect to a given optimization goal,
e.g., exploiting parallelism. Unexploited reduction properties are a frequent
reason for polyhedral optimizers to assume parallelism prohibiting dependences.
To our knowledge, no polyhedral loop optimizer available in any production
compiler provides support for reductions. In this paper, we show that
leveraging the parallelism of reductions can lead to a significant performance
increase. We give a precise, dependence based, definition of reductions and
discuss ways to extend polyhedral optimization to exploit the associativity and
commutativity of reduction computations. We have implemented a
reduction-enabled scheduling approach in the Polly polyhedral optimizer and
evaluate it on the standard Polybench 3.2 benchmark suite. We were able to
detect and model all 52 arithmetic reductions and achieve speedups up to
2.21 on a quad core machine by exploiting the multidimensional
reduction in the BiCG benchmark.Comment: Presented at the IMPACT15 worksho
Optimal investment and price dependence in a semi-static market
This paper studies the problem of maximizing expected utility from terminal
wealth in a semi-static market composed of derivative securities, which we
assume can be traded only at time zero, and of stocks, which can be traded
continuously in time and are modeled as locally-bounded semi-martingales.
Using a general utility function defined on the positive real line, we first
study existence and uniqueness of the solution, and then we consider the
dependence of the outputs of the utility maximization problem on the price of
the derivatives, investigating not only stability but also differentiability,
monotonicity, convexity and limiting properties.Comment: 31 pages. I have decided to merge the paper arXiv:1210.5466 with the
version 1 of the present paper. This version 2 is the result of the merg
Multi-marginal optimal transport: theory and applications
Over the past five years, multi-marginal optimal transport, a generalization
of the well known optimal transport problem of Monge and Kantorovich, has begun
to attract considerable attention, due in part to a wide variety of emerging
applications. Here, we survey this problem, addressing fundamental theoretical
questions including the uniqueness and structure of solutions. The (partial)
answers to these questions uncover a surprising divergence from the classical
two marginal setting, and reflect a delicate dependence on the cost function.
We go one to describe two applications of the multi-marginal problem.Comment: Typos corrected and minor changes to presentatio
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