Coarse-Graining and the Blackwell Order

نویسندگان

  • Johannes Rauh
  • Pradeep Kr. Banerjee
  • Eckehard Olbrich
  • Jürgen Jost
  • Nils Bertschinger
  • David Wolpert
چکیده

Suppose we have a pair of information channels, κ1, κ2, with a common input. The Blackwell order is a partial order over channels that compares κ1 and κ2 by the maximal expected utility an agent can obtain when decisions are based on the channel outputs. Equivalently, κ1 is said to be Blackwell-inferior to κ2 if and only if κ1 can be constructed by garbling the output of κ2. A related partial order stipulates that κ2 is more capable than κ1 if the mutual information between the input and output is larger for κ2 than for κ1 for any distribution over inputs. A Blackwell-inferior channel is necessarily less capable. However, examples are known where κ1 is less capable than κ2 but not Blackwell-inferior. We show that this may even happen when κ1 is constructed by coarse-graining the inputs of κ2. Such a coarse-graining is a special kind of “pre-garbling” of the channel inputs. This example directly establishes that the expected value of the shared utility function for the coarse-grained channel is larger than it is for the non-coarse-grained channel. This contradicts the intuition that coarse-graining can only destroy information and lead to inferior channels. We also discuss our results in the context of information decompositions.

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

Basic Types of Coarse-Graining

We consider two basic types of coarse-graining: the Ehrenfest’s coarsegraining and its extension to a general principle of non-equilibrium thermodynamics, and the coarse-graining based on uncertainty of dynamical models and ε-motions (orbits). Non-technical discussion of basic notions and main coarse-graining theorems are presented: the theorem about entropy overproduction for the Ehrenfest’s c...

متن کامل

Basic Types of Coarse-Graining II

We consider two basic types of coarse-graining: the Ehrenfests’ coarsegraining and its extension to a general principle of non-equilibrium thermodynamics, and the coarse-graining based on uncertainty of dynamical models and ε-motions (orbits). Non-technical discussion of basic notions and main coarse-graining theorems are presented: the theorem about entropy overproduction for the Ehrenfests’ c...

متن کامل

Coarse-graining dynamical triangulations: a new scheme

A new procedure for coarse-graining dynamical triangulations is presented. The procedure provides a meaning for the relevant value of observables when “probing at large scales”, e.g. the average scalar curvature. The scheme may also be useful as a starting point for a new type of renormalisation procedure, suitable for dynamically triangulated quantum gravity. Random Delaunay triangulations hav...

متن کامل

The Mathematical Procedure of Coarse Graining: From Grad's Ten-Moment Equations to Hydrodynamics

We employ systematic coarse graining techniques to derive hydrodynamic equations from Grad’s ten-moment equations. The coarse graining procedure is designed such that it manifestly preserves the thermodynamic structure of the equations. The relevant thermodynamic structure and the coarse graining recipes suggested by statistical mechanics are described in detail and are illustrated by the examp...

متن کامل

Versatile Object-Oriented Toolkit for Coarse-Graining Applications.

Coarse-graining is a systematic way of reducing the number of degrees of freedom representing a system of interest. Several coarse-graining techniques have so far been developed, such as iterative Boltzmann inversion, force-matching, and inverse Monte Carlo. However, there is no unified framework that implements these methods and that allows their direct comparison. We present a versatile objec...

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:
  • Entropy

دوره 19  شماره 

صفحات  -

تاریخ انتشار 2017