Complexity theory of real functions
Complexity theory of real functions
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
A general formula for channel capacity
IEEE Transactions on Information Theory
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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, but there is also a connection to classical mechanics. Generalizations to higher dimensional cases are open.