Essay Abstract
This essay's contest description asks the question: Are there real consequences for physics -- including quantum mechanics -- of undecidability and non-computability? I conclude that the determinism and reversibility of physical reality is empirically undecidable. A conceptual model of physical reality, on the other hand, can logically decide the truth of fundamental determinism and reversibility, but only by assuming postulates that are, themselves, empirically unprovable. The prevailing conceptual models of physics assume that a system's underlying (and unobservable) physical state is defined by perfect measurement, in the absence of thermal noise. Together with the deterministic laws of physics, this implies fundamental determinism and reversibility. The absence of thermal noise is an assumption based on extrapolation, however. It is not an observable fact. I consider an alternative conceptual model by defining perfect measurement from a system's actual surroundings at a positive absolute temperature. This model, dissipative dynamics, implies fundamental randomness and irreversibility. Dissipative dynamics and the prevailing models are empirically consistent with observations, but consistency is not proof, and their contrasting interpretations clearly cannot both be true. The truth or falsity of a conceptual model cannot be decided by observations. The best we can do is to judge models by assessing the generality of their assumptions and on the reasonableness of their implications relative to observations. I argue that dissipative dynamics is more general, and its implications conform more directly to observations, compared to prevailing deterministic and reversible conceptual models.
Author Bio
Harrison Crecraft is retired from his career as a geologist and geochemist in the geothermal industry and geological consulting. He received his PhD in geology in 1984. At graduate school, he starting searching for foundational principles of physics to understand why open systems evolve toward greater organization and complexity. He pursued this side interest throughout his career and continues it into retirement.