Showing results for: "coherence" (13 results)
In many areas of physics, the word “singularity” implies the breakdown of equations — an undefined point where the mathematics “fails” or where physical laws suddenly stop working. But this interpretation has always felt philosophically unsatisfying. Why should nature permit a point where its own rules dissolve?
What allows anything stable to exist at all? Before objects, laws, or equations can be described, something more basic must occur: something must persist long enough to be identified. This shifts the focus from what exists to the conditions under which anything can exist stably.
Many physical and computational systems exhibit a familiar behavior: ordered states gradually decay in the presence of noise. Examples appear across science:
This article makes those steps explicit. I describe a repeatable cognitive pipeline I call Stained-Glass Thinking, which I have used consistently throughout the development of Relational Field Theory (RFT).
Modern physics often assumes that the complexity we observe in the universe reflects an underlying complexity in its fundamental structure. Fields, particles, forces, and geometries are typically introduced as independent components, each carrying its own degrees of freedom.
We begin with things - particles, fields, forces - and then build laws and equations to explain how those things behave. This approach has been extraordinarily successful. It is how we arrived at quantum mechanics, general relativity, and the Standard Model.
Using a simple childhood observation as the starting point, we show how shifting from origin-based to boundary-based thinking resolves infinite regress and opens a clearer way to engage with fundamental concepts in physics, time, and existence
The event horizon of a black hole imposes a fundamental constraint: once matter and information cross it, ordinary recovery of structure through dissipation and re-equilibration becomes dynamically unavailable to external observers.
Physical quantities and laws emerge from the geometry, coherence, and flow of relational fields. A central idea is relational closure: high-coherence domains form effectively closed regions where stable invariants can persist.
Relational Dominance: A Testable Structural Hypothesis for Navier–Stokes Turbulence
Relational Field Theory (RFT) has matured into a predictive framework with operational definitions, numerical demonstrations, and practical inference tools.
A low-energy dynamical approach could give companion AI the gift of long-term relational memory - especially valuable for eldercare.
Injury is an inherent risk of sport participation. Whether at elite or recreational level, athletes are exposed to physical loads that challenge tissue capacity and recovery.
