On one-way functions and the average time complexity of almost-optimal compression
Marius Zimand

TL;DR
This paper establishes a fundamental equivalence between the existence of one-way functions and the difficulty of achieving almost-optimal compression on average for certain distributions, linking cryptography and data compression.
Contribution
It proves that one-way functions exist if and only if almost-optimal compression is hard on average relative to some efficient distribution, combining prior theorems in the field.
Findings
One-way functions are equivalent to the hardness of almost-optimal compression on average.
The result connects cryptographic assumptions with data compression complexity.
The proof synthesizes existing theorems by Ilango, Ren, Santhanam, Bauwens, and Zimand.
Abstract
We show that one-way functions exist if and only if there exists an efficient distribution relative to which almost-optimal compression is hard on average. The result is obtained by combining a theorem of Ilango, Ren, and Santhanam and one by Bauwens and Zimand.
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Algorithms and Data Compression · Mathematical Dynamics and Fractals
