Open Access
2009 A Novel Information Transmission Problem and its Optimal Solution
Eric Bach, Jin-Yi Cai
Commun. Inf. Syst. 9(2): 141-162 (2009).

Abstract

We propose and study a new information transmission problem motivated by today’s internet. Suppose a real number needs to be transmitted in a network. This real number may represent data or control and pricing information of the network. We propose a new transmission model in which the real number is encoded using Bernoulli trials. This differs from the traditional framework of Shannon’s information theory. We propose a natural criterion for the quality of an encoding scheme. Choosing the best encoding reduces to a problem in the calculus of variations, which we solve rigorously. In particular, we show there is a unique optimal encoding, and give an explicit formula for it.

We also solve the problem in a more general setting in which there is prior information about the real number, or a desire to weight errors for different values non-uniformly.

Our tools come mainly from real analysis and measure-theoretic probability. We also explore a connection to classical mechanics.

Citation

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Eric Bach. Jin-Yi Cai. "A Novel Information Transmission Problem and its Optimal Solution." Commun. Inf. Syst. 9 (2) 141 - 162, 2009.

Information

Published: 2009
First available in Project Euclid: 24 December 2009

zbMATH: 1135.68395
MathSciNet: MR2606087

Rights: Copyright © 2009 International Press of Boston

Vol.9 • No. 2 • 2009
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