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Adam R. Day

dblp:53/7657 · DBLP profile ↗
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11ranked-venue papers
7as first author
0since 2021 · last 2018
0000-0002-6266-4705ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 11 · 7 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Computational complexity · 56% Logic in computer science · 24% Automata and formal languages · 16%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Logic in computer science
constructive mathematics
0.112012
A constructive version of Birkhoff's ergodic theorem for Martin-Löf random points · Inf. Comput. 2012
Computational complexity › algorithmic randomness
martin-löf randomness
0.112012
A constructive version of Birkhoff's ergodic theorem for Martin-Löf random points · Inf. Comput. 2012
Computational complexity
algorithmic randomness
0.112009
Increasing the Gap between Descriptional Complexity and Algorithmic Probability · CCC 2009
Automata and formal languages
descriptional complexity
0.112009
Increasing the Gap between Descriptional Complexity and Algorithmic Probability · CCC 2009
Computational complexity
kolmogorov complexity
0.112009
Increasing the Gap between Descriptional Complexity and Algorithmic Probability · CCC 2009
Information theory › channel capacity
coding theorem
0.012009
Increasing the Gap between Descriptional Complexity and Algorithmic Probability · CCC 2009

Methods — techniques the papers use, named apart from their topics

coding theorem · 0.1bayes' theorem · 0.1
YearPublicationVenuePosition
2018 Jump Operations for Borel graphs
abstract
Abstract We investigate the class of bipartite Borel graphs organized by the order of Borel homomorphism. We show that this class is unbounded by finding a jump operator for Borel graphs analogous to a jump operator of Louveau for Borel equivalence relations. The proof relies on a nonseparation result for iterated Fréchet ideals and filters due to Debs and Saint Raymond. We give a new proof of this fact using effective descriptive set theory. We also investigate an analogue of the Friedman-Stanley jump for Borel graphs. This analogue does not yield a jump operator for bipartite Borel graphs. However, we use it to answer a question of Kechris and Marks by showing that there is a Borel graph with no Borel homomorphism to a locally countable Borel graph, but each of whose connected components has a countable Borel coloring.
Adam R. Day, Andrew S. Marks
J. Symb. Log.1
2017 Notes on Computable Analysis
Michelle Porter, Adam R. Day, Rodney G. Downey
Theory Comput. Syst.2
2016 On the strength of two Recurrence theorems
abstract
Abstract This paper uses the framework of reverse mathematics to investigate the strength of two recurrence theorems of topological dynamics. It establishes that one of these theorems, the existence of an almost periodic point, lies strictly between WKL and ACA (working over RCA0). This is the first example of a theorem with this property. It also shows the existence of an almost periodic point is conservative over RCA0for ${\rm{\Pi }}_1^1$ -sentences.
Adam R. Day
J. Symb. Log.1
2013 From bi-immunity to absolute undecidability
abstract
Abstract An infinite binary sequence A is absolutely undecidable if it is impossible to compute A on a set of positions of positive upper density. Absolute undecidability is a weakening of bi-immunity. Downey, Jockusch and Schupp [2] asked whether, unlike the case for bi-immunity, there is an absolutely undecidable set in every non-zero Turing degree. We provide a positive answer to this question by applying techniques from coding theory. We show how to use Walsh–Hadamard codes to build a truth-table functional which maps any sequence A to a sequence B, such that given any restriction of B to a set of positive upper density, one can recover A. This implies that if A is non-computable, then B is absolutely undecidable. Using a forcing construction, we show that this result cannot be strengthened in any significant fashion.
Laurent Bienvenu, Adam R. Day, Rupert Hölzl 0001
J. Symb. Log.2
2013 Indifferent sets for genericity
abstract
Abstract This paper investigates indifferent sets for comeager classes in Cantor space focusing of the class of all 1-generic sets and the class of all weakly 1-generic sets. Jockusch and Posner showed that there exist 1-generic sets that have indifferent sets [10]. Figueira, Miller and Nies have studied indifferent sets for randomness and other notions [7]. We show that any comeager class in Cantor space contains a comeager class with a universal indifferent set. A forcing construction is used to show that any 1-generic set, or weakly 1-generic set, has an indifferent set. Such an indifferent set can by computed by any set in which bounds the (weakly) 1-generic. We show by approximation arguments that some, but not all, 1-generic sets can compute an indifferent set for themselves. We show that all weakly 1-generic sets can compute an indifferent set for themselves. Additional results on indifferent sets, including one of Miller, and two of Fitzgerald, are presented.
Adam R. Day
J. Symb. Log.1
2012 A constructive version of Birkhoff's ergodic theorem for Martin-Löf random points
Laurent Bienvenu, Adam R. Day, Mathieu Hoyrup, Ilya Mezhirov, Alexander Shen 0001
Inf. Comput.2
2012 Process and truth-table characterisations of randomness
Adam R. Day
Theor. Comput. Sci.1
2010 Ergodic-Type Characterizations of Algorithmic Randomness
Laurent Bienvenu, Adam R. Day, Ilya Mezhirov, Alexander Shen 0001
CiE2
2010 The computable Lipschitz degrees of computably enumerable sets are not dense
Adam R. Day
Ann. Pure Appl. Log.1
2009 Increasing the Gap between Descriptional Complexity and Algorithmic Probability
abstract
In this paper we seek to analyze the relationship between two different ways of understanding the intrinsic algorithmic randomness of strings and real numbers. In the setting of discrete spaces, a cornerstone of the theory of prefix-free Kolmogorov complexity is the coding theorem. This theorem states that the negative logarithm of the probability that a string is the output of a universal prefix-free machine coincides, within some additive constant, with the length of its shortest description. It has been suggested that this ties two fundamental principles together: Bayes' theorem and Occam's razor. Certainly, the result lends support to the belief that prefix-free complexity is a natural measure of the algorithmic randomness of strings.
Adam R. Day
CCC1
2009 On the computational power of random strings
Adam R. Day
Ann. Pure Appl. Log.1