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The global minima of the communicative energy of natural communication systems

Ramon Ferrer i Cancho and Albert Díaz-Guilera

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Table 1. Summary of results about the definitions of various entropies for models A (p(rj) = ωj/M) and B (p(rj) = 1/m with ωj ≥ 1). S and R are, respectively, the set of signals and the set of stimuli. H(SR) is the joint entropy of S and R. H(R|S) is the conditional entropy of R when S is known and H(S|R) is the conditional entropy of S when R is known. H(S) and H(R) are, respectively, the entropies of S and R. b_i=\sum_{k=1}^m a_{ik}/\omega_k .
  Model A: p(rj) = ωj/M Model B: p(rj) = 1/m (with ωj ≥ 1)
H(SR) log M ({1}/{m})\sum_{j=1}^m ({\log (m \omega_j)}/{\omega_j})
H(R|S) ({1}/{M})\sum_{i=1}^{n} \mu_i \log \mu_i ({1}/{m}) \sum_{i=1}^n b_i H(R|s_i)
H(R|si) log μi \log b_i+({1}/{b_i}) \sum_{j=1}^m ({a_{ij}}/{\omega_j})\log \omega
_j
H(S|R) ({1}/{M})\sum_{j=1}^{m} \omega_j \log \omega_j ({1}/{m})\sum_{j=1}^{m} \log \omega_j
H(S|rj) log ωj log ωj
H(S) H(SR)–H(R|S) \log M-({1}/{M})\sum_{i=1}^{n} \mu_i \log \mu_i
H(R) \log M-({1}/{M})\sum_{j=1}^{m} \omega_j \log \omega_j log m


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