Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
149 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

All or Nothing Caching Games with Bounded Queries (1702.00635v1)

Published 2 Feb 2017 in math.CO and cs.DM

Abstract: We determine the value of some search games where our goal is to find all of some hidden treasures using queries of bounded size. The answer to a query is either empty, in which case we lose, or a location, which contains a treasure. We prove that if we need to find $d$ treasures at $n$ possible locations with queries of size at most $k$, then our chance of winning is $\frac{kd}{\binom nd}$ if each treasure is at a different location and $\frac{kd}{\binom{n+d-1}d}$ if each location might hide several treasures for large enough $n$. Our work builds on some results by Cs\'oka who has studied a continuous version of this problem, known as Alpern's Caching Game; we also prove that the value of Alpern's Caching Game is $\frac{kd}{\binom{n+d-1}d}$ for integer $k$ and large enough $n$.

Citations (1)

Summary

We haven't generated a summary for this paper yet.