navstokgap

Two regulators: what survives when the paths shrink?

Markdown source

The completed M05 calculation gives a classical path limit with a finite action defect. Under the free Gaussian endpoint bridge, \(d=N-1\) internal positions and action scale \(\kappa\) give

\[\mathbb E\Delta S=\frac{d\kappa}{2},\qquad \operatorname{Var}(\Delta S)=\frac{d\kappa^2}{2}.\]

If \(\kappa_N\to0\) and \(d\kappa_N\to\ell>0\), the polygonal paths can converge uniformly almost surely to the straight classical path while their excess action converges in \(L^2\) to \(\ell/2\). The paper gives the arbitrary-partition determinant, covariance and proof; the PDF is the human-readable entry point.

Source inputs and the calculations they generated

Source input Implemented test Result / next obligation
Rivero 1998, (5)–(9): two regulators and an unspecified control map Set the physical time step to \(\tau\) and track the action coefficient \(\epsilon\) At fixed physical mass, \(\epsilon=b\tau\) assigns energy units to \(b\) and gives residual action \(bT/2\) in the positive model
Pitman–Yor, continuous bridge and Markov product Compute the full partition precision matrix and couple all partitions through one bridge Uniform path convergence coexists with a finite action defect
Rindler, weak oscillations and Young measures Construct a shrinking sine displacement with fixed velocity amplitude A strict speed bound permits the defect; acceleration grows with frequency
Guillemin–Sternberg, (14.7) Restore all Fourier and determinant factors in one quadratic critical-point calculation A scalar squared-amplitude limit gives the gradient-delta weight
Wilson–Kogut §12.2 Compare cutoffs at a fixed physical observable Running \(m_B=\epsilon m_R/\kappa_R\) preserves the reference free kernel exactly

The source companions record exact coverage. B08 audits each mathematical result; its review checks the proofs separately from the literature classification.

The three quantities to keep distinct

\(\kappa\) controls the Gaussian fluctuations and has action units. The product \(d\kappa\) controls the total quadratic action in the joint limit. A hard action-value gap would instead be a positive infimum over an explicitly chosen admissible class. The current finite-dimensional action distribution has values arbitrarily close to zero; the residual limit is selected by a scaling rule.

The constant \(\kappa_R\) in the running-coefficient model is supplied by a reference bridge variance and a reference mass. Taking \(\epsilon\to0\) then sends the bare kinetic coefficient to zero while preserving the reference family. This differs from the fixed-mass shrinking-bridge construction.

M06: test a physical dynamical premise

The next experiment should determine which control on forces or derivatives allows an action defect to survive. Start with the explicit sine sequence, fixed endpoints, fixed duration and its strict speed margin.

  1. Impose uniform acceleration or force control and derive the corresponding compactness/action estimate. State the convergence topology and constants.
  2. Replace the quadratic kinetic action by the specified relativistic free action within the same strict speed margin. Calculate the oscillatory limit and its dependence on \(c\), amplitude and duration.
  3. Use those results to state the physical premise that a stochastic or additional-field model would need to retain a positive residual. Track whether that premise supplies a scale or derives one.

Commission one bounded librarian audit after the calculation. Its role is to identify the established compactness/averaging results and supply the next construction. The stronger programme then asks for universality and a physical phase rule linking the surviving quantity to \(h=2\pi\hbar\).

The tangent-groupoid theorem reading remains B07b. It addresses the separate quantum-completion branch; the present source reading has completed B07a’s common-observable scaling test.