Machta, B. B., Chachra, R., Transtrum, M. K. & Sethna, J. P. (2013). Parameter Space Compression Underlies Emergent Theories and Predictive Models. Science 342(6158): 604–607. doi:10.1126/science.1238723. arXiv:1303.6738.
Read in full in NOTE-1018, from the arXiv copy and its supplement.
Key takeaways
- In a 1-D hopping model whose density at time t is observed with fixed Gaussian error, the Fisher metric is exactly t² times the distribution of the difference of two (t−1)-step walks, and its k-th eigenvalue scales as t^(3/2−k) (THEORY-774). The leading directions measure particle creation, drift and the diffusion constant.
- In a decimated critical Ising model, the two eigenvalues along the field and the gradient of T_c stay roughly constant over six steps of b = √2, and the others fall by many decades, in bands the authors draw at b^(2y−d) per step for y = 0, −2, −4 (THEORY-777, Proposed). These are the numerics on which LIT-1254 rests its Eq. 21 (THEORY-742).
- The supplement’s scaling argument (Eqs. 31 and 41) states that the singular part dominates only when 2y ≥ d, the dividing line NOTE-972 found on Raju, Machta and Sethna’s scalings.
Standing in the record
Here as the source of the numerics behind THEORY-742’s excluded scaling claim. It does not change that claim’s standing: the paper’s own derivation is the same scaling argument, and its Monte Carlo is one lattice size at one temperature, without error bars.