The Uniform Distribution as a Universal Prior
N. Shulman, Meir Feder
Abstract
N. Shulman, Meir Feder
Abstract
In this correspondence, we discuss the properties of the uniform prior as a universal prior, i.e., a prior that induces a mutual information that is simultaneously close to the capacity for all channels. We determine bounds on the amount of the mutual information loss in using the uniform prior instead of the capacity-achieving prior. Specifically, for the class of binary input channels with any output alphabet, we show that the Z-channel has the minimal mutual information with uniform prior, out of all channels with a given capacity. From this, we conclude that the degradation of the mutual information with respect to the capacity is at most 0.011 bit, and as was shown previously, at most 6%. A related result is that the capacity-achieving prior, for any channel, is not far from uniform. Some of these results are extended to channels with nonbinary input.
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In this correspondence, we discuss the properties of the uniform prior as a universal prior, i.e., a prior that induces a mutual information that is simultaneously close to the capacity for all channels. We determine bounds on the amount of the mutual information loss in using the uniform prior instead of the capacity-achieving prior. Specifically, for the class of binary input channels with any output alphabet, we show that the Z-channel has the minimal mutual information with uniform prior, out of all channels with a given capacity. From this, we conclude that the degradation of the mutual information with respect to the capacity is at most 0.011 bit, and as was shown previously, at most 6%. A related result is that the capacity-achieving prior, for any channel, is not far from uniform. Some of these results are extended to channels with nonbinary input.
Key concepts: Mutual information, Channel capacity, Channel (broadcasting), Information theory, Mathematics, Binary number, Binary symmetric channel, Computer science