Schnorr showed that a real X is Martin-Löf random if and only if K(X �n) ≥ n − c for some constant c and all n, where K denotes the prefix-free complexity function. Fortnow (unpublished) and Nies, Stephan and Terwijn [NST05] observed that the condition K(X �n) ≥ n−c can be replaced with K(X �rn ) ≥ rn −c, for any fixed increasing computable sequence (rn), in this characterization. The purpose of this note is to establish the following generalisation of this fact. We show that X is Martin-Löf random if and only if ∃c ∀n K(X �rn ) ≥ rn − c, where (rn) is any fixed pointedly X-computable sequence, in the sense that rn is computable from X in a self-delimiting way, so that at most the first rn bits of X are queried in the computation of rn. On ...
Algorithmic randomness uses computability theory to define notions of randomness for infinite object...
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Abstract. A set B ⊆ N is called low for Martin-Löf random if every Martin-Löf random set is also M...
Schnorr showed that a real X is Martin-Löf random if and only if K(X �n) ≥ n − c for some constant c...
AbstractSchnorr randomness is a notion of algorithmic randomness for real numbers closely related to...
We investigate the strength of a randomness notion R as a set-existence principle in second-order ar...
AbstractIn this paper we apply some elementary computability-theoretic notions to algorithmic comple...
AbstractWe introduce two methods for characterizing strong randomness notions via Martin-Löf randomn...
Schnorr famously proved that Martin-Löf-randomness of a sequence A can be characterised via the co...
Abstract. Every K-trivial set is computable from an incomplete Martin-Löf random set, i.e., a Marti...
Abstract. Every K-trivial set is computable from an incomplete Martin-Löf random set, i.e., a Marti...
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Abstract. Schnorr famously proved that Martin-Löf-randomness of a sequence A can be characterised v...
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Algorithmic randomness uses computability theory to define notions of randomness for infinite object...
AbstractWe investigate notions of algorithmic randomness in the space C(2N) of continuous functions ...
Abstract. A set B ⊆ N is called low for Martin-Löf random if every Martin-Löf random set is also M...
Schnorr showed that a real X is Martin-Löf random if and only if K(X �n) ≥ n − c for some constant c...
AbstractSchnorr randomness is a notion of algorithmic randomness for real numbers closely related to...
We investigate the strength of a randomness notion R as a set-existence principle in second-order ar...
AbstractIn this paper we apply some elementary computability-theoretic notions to algorithmic comple...
AbstractWe introduce two methods for characterizing strong randomness notions via Martin-Löf randomn...
Schnorr famously proved that Martin-Löf-randomness of a sequence A can be characterised via the co...
Abstract. Every K-trivial set is computable from an incomplete Martin-Löf random set, i.e., a Marti...
Abstract. Every K-trivial set is computable from an incomplete Martin-Löf random set, i.e., a Marti...
In this article we try to formalize the question “What can be computed with access to randomness?” ...
The Kučera–Gács theorem is a landmark result in algorithmic randomness asserting that every real is ...
Abstract. Schnorr famously proved that Martin-Löf-randomness of a sequence A can be characterised v...
AbstractIn [3], Brodhead, Downey and Ng introduced some new variations of the notions of being Marti...
Algorithmic randomness uses computability theory to define notions of randomness for infinite object...
AbstractWe investigate notions of algorithmic randomness in the space C(2N) of continuous functions ...
Abstract. A set B ⊆ N is called low for Martin-Löf random if every Martin-Löf random set is also M...