Submitted:
18 June 2025
Posted:
19 June 2025
Read the latest preprint version here
Abstract
Keywords:
1. Introduction
2. Exactly Solvable Linear Toy Model
- Averaging. If is a local maximum (minimum) then ( resp.)
- Locality. is second order and does not contain higher order derivatives or higher powers of the second derivative.
- Equivariance. must commute with translations, rotations and reflections in .
2.1. The Particle Basis of
2.2. Adding Time Dependence
3. A Realistic Model
3.1. Determining the Metric and the Scaling Field
3.1.1. Determining in the Flat Spacetime Approximation
3.1.2. Time Independent Fixed-Point
3.1.3. A Particle’s Gravitational Field
3.2. The Motion of Matter Lumps in a Weak Gravitational Field
3.2.1. Application: The Rotation Curve of Disc Galaxies
- Start with a guess for the mass distribution of a galaxy at some large enough scale, , such that its rotation curve is fully Newtonian (If our conjecture regarding (62) is true then the flow to even larger is guaranteed not to diverge for any such initial guess).
- Repeat step 1 with an improved guess based on the results of 2, until an agreement is reached. By construction the solution curve is Newtonian at , having a tail past the maximum, whose rightmost part ultimately evolves into the flat segment at . We can draw two main distinctions between the flows to of massive and diffuse galaxies’ rotation curves. First, since the hypothetical Newtonian curve at —that which is based on baryonic matter only—is rising/leveling at the point of the outmost velocity tracer in the diffuse galaxies of [6], we can be certain that this tracer was at the the rising part/maximum of the curve, rather than on its tail as in massive galaxies. This means that, in massive galaxies, the counterpart of the short, flat segment of a diffuse galaxy’s r.c., is rather the short flat segment near its maximum, seen in most such galaxies near the maximum of the hypothetical Newtonian curve. Second, had tracers further away from the center been measured in diffuse galaxies, the true flat part would have been significantly lower relative to this maximum than in massive galaxies. With some work this can be shown via the inhomogeneous flow of derived from (63)where r is a solution of (63) (re- expressed as a function of ). The gist of the argument is that, solutions of (65) deep in the coarsening regime, upon flowing to smaller , decay approximately as , whereas in the scaling regime they remain constant (see (60)). In massive galaxies the entire flow from to of a tracer originally at the maximum of the r.c. is in the coarsening regime, while in diffuse galaxies it is mostly in a hybrid, coarsening scaling intermediate mode. The velocity of that tracer relative to the true therefore decays more slowly in diffuse galaxies. Note that to make the comparison meaningful a common must be chosen for both galaxies such that is equal in both.
3.2.2. Other Probes of `Dark Matter’
3.3. Quantum Mechanics as a Statistical Description of the Realistic Model
3.3.1. The Origin of Quantum Non-Locality
3.3.2. Fractional Spin
3.3.3. Photons and Neutrinos (or Illusion Thereof?)
3.4. Cosmology
3.4.1. A Newtonian Cosmological Model
3.4.2. Relativistic Cosmology
- (a)
- , which is due to the fact that different flow equations are involved.
- (b)
- (c)
- A cosmological constant term, , appears, corresponding to a positive cosmological constant ; it would have made it into the Newtonian equations had the negative energy density appearing in the Newtonian approximation (39) been included in (which, as remarked above, is not a valid step to take within the Newtonian approximation).
- (d)
- The scaling term is missing from (77); its absence can be understood as follows: Solving (56) in the metric (71) and using (72) it is readily verified that , is a solution. Now, unlike in (56), is not the proper distance between two particles, viz., the minimal number of fixed-point-standard-length-gauges exactly fitting between them (that this is so in the former is not entirely trivial to show). Instead, it is . Assuming that the number of particles is conserved in both time and scale as in the Newtonian model, we also have . Setting in (77) and substituting , restores the scaling term, written now for the proper metric scale-factor .
- (e)
- Solve (76) for at each scale step, and
- Determine p, e.g., via some equation-of-state .
Acknowledgments
References
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| 1 | The reader should not conflate the reversibility of the RG flow in parameters space with the irreversibility of the coarse-graining operation on configuration-space variables, typically employed in RG calculations. |
| 2 | An average of a real set is a map satisfying . Any average can be put into the form where f is some (monotonic) function, , and A is any average, e.g. arithmetic. |
| 3 | Retarded/advanced effects persist even in models. In Section 2.2 it was shown that depends on the first time derivatives of , implicitly `informing’ it about at
|
| 4 | See philarchive.org/rec/KNOQTM for more details; Non-machines—as they are dubbed there—are expected to have statistical properties which are incompatible with those of machines, whether micro- or macroscopic. |


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