The Spring issue of the EATCS Bulletin is now available!
The Spring issue of the EATCS Bulletin is now available!
Finally, we have the preprint of a result I am so proud of:
http://arxiv.org/abs/2501.14899
It is about deciding some stuff about regular languages and logic. More precisely, if a language can be defined with first order formulas with a fixed number of quantifiers alternations.
It settles a problem open since 1971 :) and on which my PhD advisors and their advisors worked on.
We show that for any $i > 0$, it is decidable, given a regular language, whether it is expressible in the $Σ_i[<]$ fragment of first-order logic FO[<]. This settles a question open since 1971. Our main technical result relies on the notion of polynomial closure of a class of languages $\mathcal{V}$, that is, finite unions of languages of the form $L_0a_1L_1\cdots a_nL_n$ where each $a_i$ is a letter and each $L_i$ a language of $\mathcal{V}$. We show that if a class $\mathcal{V}$ of regular languages with some closure properties (namely, a positive variety) has a decidable separation problem, then so does its polynomial closure Pol($\mathcal{V}$). The resulting algorithm for Pol($\mathcal{V}$) has time complexity that is exponential in the time complexity for $\mathcal{V}$ and we propose a natural conjecture that would lead to a polynomial time blowup instead. Corollaries include the decidability of half levels of the dot-depth hierarchy and the group-based concatenation hierarchy.
Complexity theory question:
NP-Hard is the set of all problems “at least as hard as the hardest problems in NP”
Is there an analogous “at least as hard as the hardest *decideable* problems”?
Like is there a class “Decideable-Hard”?
[ boosts appreciated :) ]
the videos for stoc are out. i heartily recommend checking out ian's talk:
https://www.youtube.com/watch?v=pWT4krti5bM
the two of us work in different subfields of cs theory but we spent a long time chatting about ways to make paper talk videos more engaging. i made an attempt at this with my own video last year, but ian takes it to an enviable new level. absolutely knocked it out of the park
New position new #introduction
I am Sophie and I prove theorems about algorithms. My workplace is LIMOS in beautiful Clermont-Ferrand 🇫🇷 where I work as a CNRS researcher.
Mathematically speaking, I like convex polyhedra and mixed integer linear programming.
🏳️⚧️
#optimization #cstheory #orms
New manuscript on #arXiv: "Deterministic Incremental APSP with Polylogarithmic Update Time and Stretch". Joint work with Yasamin Nazari and Maximilian Probst Gutenberg
We provide the first deterministic data structure that given a weighted undirected graph undergoing edge insertions, processes each update with polylogarithmic amortized update time and answers queries for the distance between any pair of vertices in the current graph with a polylogarithmic approximation in $O(\log \log n)$ time. Prior to this work, no data structure was known for partially dynamic graphs, i.e., graphs undergoing either edge insertions or deletions, with less than $n^{o(1)}$ update time except for dense graphs, even when allowing randomization against oblivious adversaries or considering only single-source distances.