On Function-Correcting Codes in the Lee Metric

Function-correcting codes are a coding framework designed to minimize redundancy while ensuring that specific functions or computations of encoded data can be reliably recovered, even in the presence of errors. The choice of metric is crucial in designing such codes, as it determines which computations must be protected and how errors are measured and corrected. Previous work by Liu and Liu 6 studied function-correcting codes over Z₂⌀, \ l 2 using the homogeneous metric, which coincides with the Lee metric over Z₄. In this paper, we extend the study to codes over Zₘ, for any positive integer m 2 under the Lee metric and aim to determine their optimal redundancy. To achieve this, we introduce irregular Lee distance codes and derive upper and lower bounds on the optimal redundancy by characterizing the shortest possible length of such codes. These general bounds are then simplified and applied to specific classes of functions, including Lee-local functions, Lee weight functions, and Lee weight distribution functions, leading to improved some bounds compared to those of Liu and Liu 6 over Z₄ and generalize the other bounds over Zₘ in the Lee metric.