What is Meta-Calculus?
A numerical methods toolkit for implementing non-Newtonian calculus and analyzing scheme-robustness of physical calculations.
The Framework: A Numerical Regularization Tool
You learned calculus with a specific definition of rate of change:
But this is just one choice. Non-Newtonian Calculus (Grossman & Katz, 1972) explores alternative derivative operators. This toolkit uses them as adaptive numerical pre-conditioning.
Target audience: Numerical methods researchers, computational physicists. This is NOT a physics theory - it's a diagnostic and pre-conditioning tool.
Key Insight: The "Auto-Logarithm Machine"
The Bigeometric derivative of a power function is constant:
This means: the framework detects power laws and can switch to log-space arithmetic. Near a power-law singular point the log-slope is constant; the singularity itself is still there, but some stored ODE runs need far fewer function evaluations in log variables.
Stored result (results/tractability_benchmarks.json): Lane-Emden n=3-5 needs 7.7-8.5x fewer right-hand-side function evaluations in the stored log-space configuration; Bessel J0 needs 2.9x fewer but is about 10x less accurate. These ratios compare the two stored solver setups, not the coordinate alone: The classical x-space runs are capped at max_step = 0.01 by the script (about 2,000 RK45 steps over x up to 20, roughly 12,000 evaluations); the log-space runs are not capped. Much of the reduction comes from that cap, not from the 2/x term alone. The classical xi_1 is the first nonpositive output sample on a fixed output grid; the log-space xi_1 is a linearly interpolated zero crossing. Part of the error difference comes from these two estimators, not from the coordinate. Wall-clock speedups across the 8 benchmarks range 2.69-23.7x (mean 13.2x, machine-dependent).
What This Does Near Singularities
This is a bounded log-slope diagnostic on r > 0. It does not remove the singularity: 1/r still diverges as r goes to 0.
CASCADE synthetic toy benchmark (not physics results) →Converting Between Representations
Classical, geometric and bigeometric derivatives are different representations of the same local information, related by explicit formulas on their domains. For f > 0, D_G[f] = exp(f'/f), so f' = f ln(D_G[f]). For x > 0 and f > 0, D_BG[f] = exp(x f'/f), so f' = (f/x) ln(D_BG[f]). No extra weights are needed to pass between them.
Michael Grossman and Robert Katz introduced the non-Newtonian calculi (1972). Jane Grossman's published meta-calculus (1981) uses weight functions to define a different derivative; it is not required for the conversions above.
The weighted meta-derivatives and k-parameter families used on this site are project extensions for numerical experiments, not a mathematical necessity.
Three Calculus Frameworks
Classical (Newton-Leibniz)
Linear functions have constant derivative. Standard framework for most physics.
Geometric
Exponential functions have constant derivative. Useful for multiplicative processes.
Bigeometric
Power functions have constant derivative. The Power Law Theorem (Grossman & Katz, 1972).
Measured Local Results
Spectral-Gap Boundary
3 distinct baseline compositions satisfy the proposed bound (the stored file lists 5 checks; the others repeat a case); a broader guarded audit found 9 counterexamples among 88 valid cases.
Constancy Properties
D_BG[x^n] = exp(n) holds exactly on x > 0 for every real n (analytic identity; see the proofs page).
Connection to Symanzik Improvement
An analogy, not a demonstrated equivalence: the framework parallels the Symanzik improvement program in lattice QCD (mixing discretization schemes to reduce artifacts).
Limitations
Multi-Scale Hypothesis
Archived k(L) fit used 8 synthetic scale points. A fresh common-bounds control lowers R^2 to 0.4370, so it is not a physical lookup rule.
Cosmological Tension Claims
RETRACTED. The archived k = -0.7 fit conflicted with BBN constraints (no stored artifact). Post-hoc curve fitting with no predictive power.
Physical = Scheme-Invariant
Interesting diagnostic idea but not proven. Needs rigorous connection to established physics principles.