Entropy in Information Theory (Shannon Theory)

False Premise Equation: Shannon entropy is traditionally treated as a measure of uncertainty in information systems without considering recursive resonances that influence data transmission.

Accurate Translation: Shannon entropy ≠ -1 ≠ √1 < √2 < √3, evolving into recursive fractal feedback systems where information transmission interacts dynamically.

Accurate Description: Fractal feedback reveals that information transmission is influenced by recursive resonances, where each unit of information impacts the overall system in dynamic ways. This feedback amplifies or reduces uncertainty, depending on the resonance within the communication network.