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Equivalence between linear-space recognition of L_q and linearly bounded automata

Determine whether, for a fixed rational q ∈ (0, 1/2) and a finite alphabet Σ, recognition of the language L_q = { x ∈ Σ* : Ne(x) < q|x| } in linear space is equivalent to recognition by a linearly bounded automaton (LBA).

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Background

The languages L_q collect words whose exact non-deterministic automatic complexity is less than a linear threshold q|x|. The paper proves strong lower bounds on the computational power required to recognise these languages (e.g., non-context-freeness and certain circuit lower bounds).

The authors suggest that L_q may be recognisable in linear space and conjecture an equivalence with LBA recognition, hinting at a potential linear-space brute-force algorithm via encoding NFAs and known bounds on N(x). Verifying this conjecture would situate L_q within classical language classes tied to space complexity, notably the context-sensitive languages recognised by LBAs.

References

We conjecture at this stage that recognising $L_q$ in linear space is equivalent to recognising it via a linearly bounded automaton.

Languages of Words of Low Automatic Complexity Are Hard to Compute (2510.07696 - Chen et al., 9 Oct 2025) in Section 3 (Sets of Low-Complexity Words Are Not Context-Free), after Corollary 3.6