Kraft–McMillan Inequality: Exact Capacity Bound for Prefix-Free Codes — E8 Intelligence Research

FINDING: Kraft–McMillan inequality bounds the measure of any prefix-free (instantaneous) code's codeword lengths, defining the exact capacity of a binary decision tree to encode distinct states. | MATH: For prefix-free binary code with codeword lengths ℓ₁,…,ℓₙ: Σᵢ 2^(−ℓᵢ) ≤ 1. Equality holds iff the code is complete (tree fully saturated). General D-ary: Σᵢ D^(−ℓᵢ) ≤ 1. This is the necessary and sufficient condition for existence of a prefix-free code with given lengths. | CONNECTION: The bound Σ 2^(−ℓᵢ) ≤ 1 is a measure-theoretic partition constraint on the binary tree — a self-similar (dyadic) tiling of the unit interval. Each codeword of length ℓ occupies a dyadic interval of measure 2^(−ℓ); prefix-freeness ⟺ disjointness. This is the discrete analogue of a probability simplex constraint. No direct appearance of 0.618/1.618 ratios in the inequality itself, but the dyadic scaling 2^(−ℓ) is the base-2 counterpart of the base-φ (golden) scaling that generates Fibonacci/Zeckendorf codes Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-29
DOI
https://doi.org/10.5281/zenodo.23755711
Primary Topic
Algorithms and Data Compression
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Kraft–McMillan Inequality: Exact Capacity Bound for Prefix-Free Codes — E8 Intelligence Research

Andrew Stewart Caldin
7 links
Zenodo (CERN European Organization for Nuclear Research)
Algorithms and Data Compression
preprint

Kraft–McMillan Inequality: Exact Capacity Bound for Prefix-Free Codes — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

FINDING: Kraft–McMillan inequality bounds the measure of any prefix-free (instantaneous) code's codeword lengths, defining the exact capacity of a binary decision tree to encode distinct states. | MATH: For prefix-free binary code with codeword lengths ℓ₁,…,ℓₙ: Σᵢ 2^(−ℓᵢ) ≤ 1. Equality holds iff the code is complete (tree fully saturated). General D-ary: Σᵢ D^(−ℓᵢ) ≤ 1. This is the necessary and sufficient condition for existence of a prefix-free code with given lengths. | CONNECTION: The bound Σ 2^(−ℓᵢ) ≤ 1 is a measure-theoretic partition constraint on the binary tree — a self-similar (dyadic) tiling of the unit interval. Each codeword of length ℓ occupies a dyadic interval of measure 2^(−ℓ); prefix-freeness ⟺ disjointness. This is the discrete analogue of a probability simplex constraint. No direct appearance of 0.618/1.618 ratios in the inequality itself, but the dyadic scaling 2^(−ℓ) is the base-2 counterpart of the base-φ (golden) scaling that generates Fibonacci/Zeckendorf codes Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Algorithms and Data Compression
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Kraft–McMillan Inequality: Exact Capacity Bound for Prefix-Free Codes — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS