Mon, 25 May 2026
16:00
16:00
C3
Lindelöf hypothesis and zero density estimates
Vishal Gupta
(University of Oxford)
Abstract
The Lindelöf hypothesis is known to be weaker than the Riemann hypothesis and one way to assess the difference in their strength is to consider what can be said about the zeroes of the zeta function under the assumption of the Lindelöf hypothesis. Viewing this question in the context of zero density estimates, we prove that $N(\sigma,T) \leq T^{\frac{4(5-6\sigma)}{3(3-2\sigma)} + o(1)}$. This improves the currently known estimate conditional on the Lindelöf hypothesis, $N(\sigma,T) \leq T^{2(1-\sigma)+o(1)}$ based on the mean value theorem, for $\sigma$ near $3/4$.
Thu, 04 Jun 2026
11:00
11:00
C3
Avoiding logical strength in analysis
Anton Freund
(Universität Würzburg)
Abstract
In reverse mathematics, one classically represents real numbers by Cauchy
sequences (q_n) with a known rate of convergence, where typically
|q_m-q_n|<2^{-m} for m<n. While this has good reasons, it turns out that
"slow" Cauchy sequences (without prescribed rate of convergence) have great
advantages as well: In joint work with Nicholas Pischke and Patrick Uftring
(arXiv:2605.15151), we have shown that almost all one-dimensional real
analysis from the textbook by Simpson can be developed in theories that are
Pi^1_1-conservative over RCA_0 (including results that require ACA_0 with the
classical representation). This yields a very different picture of the
foundations of analysis, which also blurs the boundary between analytical
principles and combinatorial principles from the so-called reverse mathematics
zoo.
Exploring the relationship between vascular remodelling and tumour growth using agent-based modelling.
Fan, N
Bull, J
Byrne, H
PLoS Comput Biol
volume 22
issue 5
e1012967
(15 May 2026)
https://www.ncbi.nlm.nih.gov/pubmed/42139303
Tensorial permanence of K‐stability for diagonal AH‐algebras
Seth, A
Bulletin of the London Mathematical Society
volume 58
issue 5
(22 May 2026)
Out-group comparison of free-living bird nest inhabiting astigmatan mite chelae
Bowman, C
Biologia - Section Zoology
Interpretable machine learning and signal processing for automated reading and quality control of lateral flow tests for schistosomiasis.
Ho, C
Puthur, C
Nabatte, B
Moore, C
Abdoel, T
Paulussen, R
Nganjimi, P
Hoekstra, P
Kabatereine, N
Kawesa, B
Odea, J
Bogere, R
Katushabe, R
van Dam, G
Scherr, T
Chami, G
Nature communications
(18 May 2026)