Injective randomness-preserving one-way functions — Problem 1.5
Injective randomness-preserving one-way functions — Problem 1.5. Current research status is unassessed. The dated source poses this question; inclusion does not certify that it remains open today.
Editorial MSC2020 mapping of Injective randomness-preserving one-way functions — Problem 1.5. https://arxiv.org/html/2608.26628v2#S1.Thmproblem5 Not an author-supplied code.
Problem statement
Problem 1.5.
Is there an injective one-way function on the reals? More precisely, is there a partial computable real function such that
is injective and preserves randomness,
the domain of has positive Lebesgue measure, and
for a positive-measure set of reals in the domain of ?
Lean 4
No Lean statement or proof is attached yet. Have a formalization? Share its source to add it to this problem.
Background
- George Barmpalias
The following problems concern Turing ideals generated by sufficiently random reals.
Notation 1.1.
If , let denote the real obtained from by deleting the digits at positions that are divisible by .
A chain is a sequence of reals such that
for every .
If is a chain of reals, the Turing ideal generated by is
In particular, for a chain ,
For each real , define
The notation means that and differ on finitely many bits.
The real is the infinite join of all the reals .
Proposition 1.2 (Barmpalias–Zhang, unpublished).
If is a sequence of reals and is random for each , then there are reals so that is random. The same conclusion holds for -randomness and weak -randomness for each .
This proposition gives a partial positive answer to Question 1(1) under the additional assumption of relative randomness. Question 1(2) asks for the stronger conclusion that the ideal generated by a random chain is exactly of the form for some random real .
The class of -random reals, equivalently the class of -random reals, is a special case.
There are two obstacles to constructing such a chain. If is -random, then the ideal has the following properties:
For every , the ideal contains an -random real.
The jumps of the columns form a chain and, in particular, are pairwise distinct.
Such a function can be used to produce a chain of -random reals with the same jump in the Turing degrees.
Progress & source assessment
Current research status is unassessed. The dated source poses this question; inclusion does not certify that it remains open today.
- [1]Barmpalias, George; Gao, Su; He, Jialiang; Kihara, Takayuki; Nies, Andre; Slaman, Theodore; Tran, Chieu-Minh; Turetsky, Daniel; Welch, Philip; Yu, Liang; Zhang, Hang. Tianyuan Workshop — Open Problems in Mathematical Logic (2026).; Injective randomness-preserving one-way functions — Problem 1.5 linkhttp://creativecommons.org/licenses/by/4.0/; attributed adaptation; HTML converted to Markdown with original mathematical notation and source links.
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