Encoding Trees: A Method for Producing a Variable-Length Prefix Code From Sets of Arbitrary Size
Year: 2026
Type: preprint
Abstract: In this work we formalize a new class of binary trees called encoding trees. We extend this structure in two ways, through labelling to create the class of labelled encoding trees, and pruning to create the class of pruned encoding trees. We discuss how these two extensions can be combined to create the the class of pruned labelled encoding trees. Using the supplementary results that we prove about these classes of trees, we construct a code that uses pruned labelled encoding trees to convert a string of symbols from a sequence of non-empty sets to a binary string. We prove that this code is a variable-length prefix code that can process any valid string of symbols from the given sequence of non-empty sets. Furthermore, we construct a code from the class of pruned labelled encoding trees that goes in the opposite direction, from binary strings to a string of symbols from a sequence of non-empty sets of arbitrary symbols. We prove that this code is also a variable-length prefix code that can process any binary string of any length, provided that the sequence of non-empty sets is sufficiently long. We provide an equation that establishes the minimum sequence length to encode any binary string of a given length, based on that length.
Source: arXiv (Cornell University)
Authors: Laporte, Bryony H., Rudie, Karen
Institution: Queen's University
Language: English
Subfield: Theoretical Computer Science
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
Award: G2271590008
OpenAlex ID: W7223254495