Λ as a Categorization Error: A Structural Alternative to Dark Energy

This paper develops the ΛCE framework, a structural reinterpretation of late‑time cosmic acceleration that eliminates the need for dark energy. ΛCE models spacetime through two complementary layers: a smooth metric layer governed by general relativity and a deeper combinatorial layer governed by HU‑doubling adjacency growth. At small scales these layers align closely, but at cosmological distances their mismatch accumulates into a measurable effect traditionally interpreted as acceleration. The key innovation is the strain function S(r), which quantifies the representational mismatch between layers. Integrating this strain along photon paths yields a redshift law that reproduces the observed curvature of the supernova Hubble diagram without invoking a cosmological constant or exotic fields. Early‑universe physics—including the CMB, BAO, and primordial nucleosynthesis—remains unchanged, as ΛCE does not modify the Friedmann equations or the matter–radiation content of the universe. ΛCE reframes late‑time acceleration as a structural effect arising from the interplay between a continuous metric representation and a faster‑expanding combinatorial structure. This reinterpretation dissolves the cosmological constant problem, preserves the successes of ΛCDM, and yields clear, testable predictions for late‑time cosmology. The ΛCE framework thus offers a conservative, falsifiable alternative to dark‑energy‑driven acceleration, grounded in the architecture of spacetime itself. v4

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-01
DOI
https://doi.org/10.5281/zenodo.21119045
Primary Topic
Cosmology and Gravitation Theories
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Λ as a Categorization Error: A Structural Alternative to Dark Energy

R J M W Howard
Zenodo (CERN European Organization for Nuclear Research)
Cosmology and Gravitation Theories
preprint

Λ as a Categorization Error: A Structural Alternative to Dark Energy

R J M W Howard
preprint en

Abstract

This paper develops the ΛCE framework, a structural reinterpretation of late‑time cosmic acceleration that eliminates the need for dark energy. ΛCE models spacetime through two complementary layers: a smooth metric layer governed by general relativity and a deeper combinatorial layer governed by HU‑doubling adjacency growth. At small scales these layers align closely, but at cosmological distances their mismatch accumulates into a measurable effect traditionally interpreted as acceleration. The key innovation is the strain function S(r), which quantifies the representational mismatch between layers. Integrating this strain along photon paths yields a redshift law that reproduces the observed curvature of the supernova Hubble diagram without invoking a cosmological constant or exotic fields. Early‑universe physics—including the CMB, BAO, and primordial nucleosynthesis—remains unchanged, as ΛCE does not modify the Friedmann equations or the matter–radiation content of the universe. ΛCE reframes late‑time acceleration as a structural effect arising from the interplay between a continuous metric representation and a faster‑expanding combinatorial structure. This reinterpretation dissolves the cosmological constant problem, preserves the successes of ΛCDM, and yields clear, testable predictions for late‑time cosmology. The ΛCE framework thus offers a conservative, falsifiable alternative to dark‑energy‑driven acceleration, grounded in the architecture of spacetime itself. v4

Zenodo (CERN European Organization for Nuclear Research)
Cosmology and Gravitation Theories
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.