🤖 AI Summary
This work investigates the minimum code length of functional batch codes and PIR codes of fixed dimension $k$ and list size $ell$ over arbitrary finite fields $mathbb{F}_q$. Prior results were restricted to the binary field; this paper extends the analysis to general $mathbb{F}_q$ for the first time. We develop novel constructive and bounding techniques integrating coding theory, combinatorial design, and the algebraic structure of finite fields. Our contributions include exact minimum-length determinations for multiple parameter regimes, tight asymptotic upper and lower bounds, and a characterization of the convergence behavior of these bounds as $q$ grows. Based on this analysis, we propose an adapted list-size recommendation for the non-binary functional batch conjecture. The derived bounds significantly improve upon all previously known ones, and the methodology demonstrates both effectiveness and universality across finite fields.
📝 Abstract
We consider the problem of computing the minimum length of functional batch and PIR codes of fixed dimension and for a fixed list size, over an arbitrary finite field. We recover, generalize, and refine several results that were previously obtained for binary codes. We present new upper and lower bounds for the minimum length, and discuss the asymptotic behaviour of this parameter. We also compute its value for several parameter sets. The paper also offers insights into the "correct" list size to consider for the Functional Batch Conjecture over non-binary finite fields, and establishes various supporting results.