Search Problems in Vector Spaces

Abstract

We consider the following $q$-analog of the basic combinatorial search problem: let $q$ be a prime power and \GF(q) the finite field of $q$ elements. Let $V$ denote an $n$-dimensional vector space over \GF(q) and let $\mathbf{v}$ be an unknown 1-dimensional subspace of $V$. We will be interested in determining the minimum number of queries that is needed to find $\mathbf{v}$ provided all queries are subspaces of $V$ and the answer to a query $U$ is YES if $\mathbf{v} \leqslant U$ and NO if $\mathbf{v} \not\leqslant U$. This number will be denoted by $A(n,q)$ in the adaptive case (when for each queries answers are obtained immediately and later queries might depend on previous answers) and $M(n,q)$ in the non-adaptive case (when all queries must be made in advance). In the case $n=3$ we prove $2q-1=A(3,q)<M(3,q)$ if $q$ is large enough. While for general values of $n$ and $q$ we establish the bounds $$n\log q \le A(n,q) \le (1+o(1))nq$$ and $$(1-o(1))nq \le M(n,q) \le 2nq,$$ provided $q$ tends to infinity