P(k)k(3DH)P(k) \sim k^{-(3 - D_H)}
Interpretation:
If DH=2.0D_H = 2.0, a common observationally inferred value for large-scale structure:
P(k)k1P(k) \sim k^{-1}
For a truly homogeneous distribution (DH=3D_H = 3):
P(k)k0P(k) \sim k^0 (white noise, uncorrelated)
This scaling emerges without inflation, arising instead from renormalization group (RG) flows and topological coarse-graining across layered spacetime structures. It naturally incorporates:
Self-similarity across scales,
Void-dominated volume bias,
Deviations from isotropy and statistical homogeneity at scales above the homogeneity scale 150 Mpc\sim 150 \text{ Mpc}.
3. Key Differences and Observational Discriminants
4. Observational Testing
Potential discriminants include: