SearcharxivSearch

arXiv subjects

Ryosuke Mizuno

Publications and source records attributed to Ryosuke Mizuno.

4 recordsLinked to original sources

New lower bounds for the degree/diameter problem via interaction with a browser-accessible LLM

Let $N(\Delta,D)$ denote the maximum number of vertices in a simple undirected connected graph with maximum degree at most $\Delta$ and diameter at most $D$. Determining $N(\Delta,D)$ is known as the degree/diameter problem. Although the problem has been studied for many years, the exact value of $N(\Delta,D)$ is unknown for most pairs $(\Delta,D)$. In this paper we construct explicit graphs, using a construction discovered through interaction with ChatGPT via its standard web interface, showing that $N(12,5)\ge 34{,}992$ and $N(16,5)\ge 147{,}456$. These improve the corresponding recorded lower bounds 29,621 and 132,496. The search was conducted without an external orchestration layer around ChatGPT: no custom agent framework, automated evaluator-driven search loop, problem-specific search engine, or formal proof assistant was set up in advance by the author. As far as the visible transcript shows, the author did not prompt the model with the concrete components or candidate families of the construction. After presenting the mathematical result, we describe the discovery process on the basis of the visible transcript. We focus on the meta-level interventions made during the approximately six-day search, and we identify the stage at which the abstraction underlying the construction first appeared.

math.GM

Constructing Large-scale Low-latency Network from Small Optimal Networks

The construction of large-scale, low-latency networks becomes difficult as the number of nodes increases. In general, the way to construct a theoretically optimal solution is unknown. However, it is known that some methods can construct suboptimal networks with low-latency. One such method is to construct large-scale networks from optimal or suboptimal small networks, using the product of graphs. There are two major advantages to this method. One is that we can reuse small, already known networks to construct large-scale networks. The other is that the networks obtained by this method have graph-theoretical symmetry, which reduces the overhead of communication between nodes. A network can be viewed as a graph, which is a mathematical term from combinatorics. The design of low-latency networks can be treated as a mathematical problem of finding small diameter graphs with a given number of nodes ( called order ) and a given number of connections between each node ( called degree ). In this paper, we overview how to construct large graphs from optimal or suboptimal small graphs by using graph-theoretical products. We focus on the case of diameter 2 in particular. As an example, we introduce a graph of order 256, degree 22 and diameter 2, which granted us the Deepest Improvement Award at the Graph Golf competition. Moreover, the average shortest path length of the graph is the smallest in graphs of order 256 and degree 22.

math.CO

Violation of cosmic censorship in the gravitational collapse of a dust cloud in five dimension

We analyze the null geodesic equations in five dimensional spherically symmetric spacetime with collapsing inhomogeneous dust cloud. By using a new method, we prove the existence and non-existence of solutions to null geodesic equation emanating from central singularity for smooth initial distribution of dust. Moreover, we also show that the null geodesics can extend to null infinity in a certain case, which imply the violation of cosmic censorship conjecture.

gr-qc

Static black hole uniqueness and Penrose inequality

Under certain conditions, we give a new way to prove the uniqueness of static black hole in higher dimensional asymptotically flat spacetimes. In the proof, the Penrose inequality plays a key role in higher dimensions as well as four dimensions.

gr-qc