Decomposing Random Mechanisms

نویسندگان

  • Marek Pycia
  • M. Utku Ünver
  • Andy Atkeson
  • Christian Hellwig
  • Matthias Koeppe
  • Hervé Moulin
  • Aaron Roth
  • Arunava Sen
  • William Thomson
  • Rakesh Vohra
چکیده

Random mechanisms have been used in real-life situations for reasons such as fairness. Voting and matching are two examples of such situations. We investigate whether desirable properties of a random mechanism survive decomposition of the mechanism as a lottery over deterministic mechanisms that also hold such properties. To this end, we represent properties of mechanisms—such as ordinal strategy-proofness or individual rationality—using linear constraints. Using the theory of totally unimodular matrices from combinatorial integer programming, we show that total unimodularity is a sufficient condition for the decomposability of linear constraints on random mechanisms. As two illustrative examples, we show that individual rationality is totally unimodular in general, and that strategy-proofness is totally unimodular in some individual choice models. However, strategy-proofness, unanimity, and feasibility together are not totally unimodular in collective choice environments in general. We thus introduce a direct constructive approach for such problems. Using this approach, we prove that feasibility, strategy-proofness, and unanimity, with and without anonymity, are decomposable on non-dictatorial single-peaked voting domains.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Understanding Biological Mechanisms Using Illustrations from Circadian Rhythm Research

In many fields of biology, researchers explain a phenomenon by characterizing the responsible mechanism. This requires identifying the candidate mechanism, decomposing it into its parts and operations, recomposing it so as to understand how it is organized and its operations orchestrated to generate the phenomenon, and situating it in its environment. Mechanistic researchers have developed soph...

متن کامل

Copulas and Vines (stat08012)

Copulas and vines allow us to model the distribution of multivariate random variables in a flexible way. This article introduces copulas via Sklar’s theorem, explains how pair copula constructions are built by decomposing multivariate copula densities and illustrates vine graphical representations.

متن کامل

Decomposing, Recomposing, and Situating Circadian Mechanisms: Three Tasks in Developing Mechanistic Explanations

Reductionist inquiry, which involves decomposing a mechanism into its parts and operations, is only one of the tasks of mechanistic research. A second task (which may be undertaken largely simultaneously) is recomposing it—conceptually reassembling the parts and operations into an organized arrangement that constitutes the mechanism. Other tasks include determining how multiple operations are o...

متن کامل

Part-products of S-restricted Integer Compositions

If S is a cofinite set of positive integers, an “S-restricted composition of n” is a sequence of elements of S, denoted ~λ = (λ1, λ2, . . . ), whose sum is n. For uniform random S-restricted compositions, the random variable B(~λ) = ∏ i λi is asymptotically lognormal. (A precise statement of the theorem includes an error term to bound the rate of convergence.) The proof is based upon a combinat...

متن کامل

Decomposing a Sequence into Independent Subsequences Using Compression Algorithms

Given a sequence generated by a random mixture of independent processes, we study compression-based methods for decomposing the sequence into independent subsequences each corresponds to an independent process. We first show that the decomposition which results in the optimal compression length in expectation actually corresponds to an independent decomposition. This theoretical result encourag...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014