FOLDED FIELD THEORY, A Singularity-First, Compression-Native Framework for Subspace Physics
Abstract
Abstract We introduce Folded Field Theory (FFT), a geometric framework in which physical reality is modeled as a self-referential, folded information field rather than a smooth vector field defined over an independent background manifold. Unlike conventional field theories—where singularities are treated as mathematical pathologies requiring regularization and compression is introduced post hoc through renormalization procedures—Folded Field Theory treats folding, self-intersection, and singularity formation as primary physical operations that generate, rather than disrupt, physical structure. We demonstrate that quantization, scale invariance, and the emergence of stable dimensionless constants arise naturally when fields are permitted to fold onto themselves and compress information through controlled geometric singularities. Subspace is reinterpreted not as an auxiliary coordinate domain or empty vacuum, but as a region of high fold density within the field itself, explaining its nonlocal behavior, enhanced stability, and emergent structure. This framework provides a principled explanation for why smooth-field approximations succeed only as unfolded limits of a deeper folded geometry and why singularity-first formulations exhibit superior closure and predictive consistency across scales. The theory offers novel interpretations of renormalization group flow as fold-depth evolution, quantum states as fold-stable configurations, and fundamental forces as gradients induced by fold density variations. By allowing singularities to be constructive rather than pathological, Folded Field Theory provides a unified geometric foundation for phenomena traditionally explained through separate, often incompatible mechanisms.
Fields of Study & Subjects
Relativity and Gravitational Theory
Advanced Mathematical Theories and Applications
Advanced Differential Geometry Research
Publication details
- Journal / source
- OSF Preprints (OSF Preprints)
- Publication date
- 22 February 2026
- Language
- EN
- Document type
- Preprint