2019
DOI: 10.1017/bsl.2019.20
|View full text |Cite
|
Sign up to set email alerts
|

Foundations of Online Structure Theory

Abstract: The survey contains a detailed discussion of methods and results in the new emerging area of online “punctual” structure theory. We also state several open problems.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
65
0
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
1

Relationship

2
4

Authors

Journals

citations
Cited by 47 publications
(66 citation statements)
references
References 42 publications
0
65
0
1
Order By: Relevance
“…This solves a problem left open in [9]; see also [2]. The proof of the theorem is not merely a generalization of the proof from [9] since it relies on a new strategy; it is also combinatorially more intricate.…”
Section: The Resultsmentioning
confidence: 95%
See 2 more Smart Citations
“…This solves a problem left open in [9]; see also [2]. The proof of the theorem is not merely a generalization of the proof from [9] since it relies on a new strategy; it is also combinatorially more intricate.…”
Section: The Resultsmentioning
confidence: 95%
“…Although a primitive recursive algorithm does not have to be computationally feasible, it serves as a useful abstraction which unites most common complexity classes of interest. In fact, as discussed in [2,22], very often eliminating unbounded search is the crucial step in turning a general Turing computable algebraic procedure into, say, a polynomial time or a polylogspace one; see, for example, [5,6,7,16]. A nontrivial illustration of this phenomenon is the recent solution [3] to a problem of Khouissainov and Nerode on the characterization of automatic structures ( [24], Question 4.9).…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…We note that except the reductions ≤ c and ≤ tc , there are many other approaches to comparing computability-theoretic complexity of classes of structures. These approaches include: transferring degree spectra and other algorithmic properties [13], Σ-reducibility [8,17], computable functors [11,16], Borel functors [12], primitive recursive functors [1,7], etc.…”
Section: For Any a B ∈ K 0 We Have A ∼ = B If And Only If φ(A) ∼ =mentioning
confidence: 99%
“…By monotonicity, (3) implies that Γ (N ) |= b n < d n . Now, again by monotonicity, (1) and 2 Let n = 2k for some k ≥ 1. Then Γ n works so that, for any input A, it outputs k disjoint copies of Γ 2 (A).…”
Section: Proposition 2 For Any Infinite and Coinfinite Set A If Thementioning
confidence: 99%