Experiments / V2.232
V2.232
Closing the Lambda Gap COMPLETE

V2.232 - Dimensional Dependence of alpha_s — Does 1/(24*sqrt(pi)) Generalize?

V2.232: Dimensional Dependence of alpha_s — Does 1/(24*sqrt(pi)) Generalize?

Executive Summary

The area-law coefficient alpha_4 = 1/(24*sqrt(pi)) = 0.02351 is specific to D=4 spacetime dimensions. If alpha_D follows a recognizable pattern across dimensions, this would reveal the formula and potentially prove the D=4 result.

This experiment generalizes the Srednicki/Lohmayer radial chain to arbitrary spacetime dimension D and computes alpha_D for D=3,4,5,6.

Key Results:

  1. D=4: Confirmed. Richardson extrapolation gives k_4 = 1/(alpha_4 * sqrt(pi)) = 24.0 to 0.024%. The generalized chain correctly reproduces the known result.
  2. D=3: New result. k_3 = 7.62 +/- 0.04, well-converged but NOT a simple integer or factorial.
  3. D=5,6: Not converged. The C→∞ convergence is too slow (degeneracies grow as l^{D-3}). Richardson extrapolation is unreliable.
  4. No simple formula found that works across all D. The dimensional pattern is obscured by convergence issues in D >= 5.

Method

Generalized radial chain

For D spacetime dimensions (D_s = D-1 spatial), the free scalar decomposes into angular momentum channels on S^{D_s-1}. Each channel l reduces to a 1D radial chain with:

  • Centrifugal potential: l*(l + D_s - 2) / j^2 (reduces to l(l+1)/j^2 for D=4)
  • Jacobian factors: j^{D_s-1} from the radial measure (reduces to j^2 for D=4)
  • Degeneracy: dimension of l-th harmonic on S^{D_s-1}
DD_sSurfaceDegeneracy d_lCentrifugalArea A(n)
32S^12 (l>=1), 1 (l=0)l^2/r^22pin
43S^22l+1l(l+1)/r^24pin^2
54S^3(l+1)^2l(l+2)/r^22pi^2n^3
65S^4(l+1)(l+2)(2l+3)/6l(l+3)/r^28pi^2n^4/3

Extraction via finite differences

alpha_D is extracted from the (D-2)-th finite difference of S(n):

  • D=3: dS/dn = 2pialpha, using first central difference
  • D=4: d^2S/dn^2 = 8pialpha, using second central difference
  • D=5: d^3S/dn^3 = 12pi^2alpha, using third forward difference
  • D=6: d^4S/dn^4 = 64pi^2alpha, using fourth central difference

Richardson extrapolation in C

Following V2.184, alpha is extrapolated to C→∞ using Neville’s polynomial interpolation in 1/C at multiple C values.

Part 1: D=4 Verification

Calpha_4(C)Error from 1/(24√π)
50.02123-9.69%
100.02278-3.10%
150.02315-1.54%
200.02329-0.92%
250.02336-0.62%
300.02340-0.44%
Richardson0.02351+0.024%

The generalized chain reproduces V2.184’s result. The Richardson extrapolation at n=12 gives 0.024% accuracy, validating the D-dimensional generalization.

Part 2: D=3

The 2+1D case has the simplest degeneracies (d_l = 2 for l >= 1) and the fastest C convergence.

n-convergence at C=15

nalpha_3
80.07419
120.07403
150.07397
200.07391

The n-dependence is mild (~0.4% from n=8 to n=20).

C-convergence at n=15

Calpha_3(C)
50.07344
100.07391
150.07397
200.07399
250.07400
Richardson0.07400

C convergence is fast — alpha barely changes from C=15 to C=25.

Result: k_3 = 1/(alpha_3 * sqrt(pi)) = 7.624 +/- 0.04

This is close to 24/pi = 7.639 (0.2% away), but the match is uncertain at our precision level. A double-limit extrapolation (n→∞ and C→∞ simultaneously) would be needed to settle this.

Part 3: D=5

The 4+1D case has quadratically growing degeneracies (d_l = (l+1)^2), causing very slow C convergence.

n-convergence at C=10

nalpha_5
60.01333330
80.01333310
100.01333305
120.01333303

The n-dependence is negligible (< 0.002% variation). At fixed C, the area law is perfectly established even at n=6.

C-convergence at n=8

Calpha_5(C)
50.00999
100.01333
150.01475
200.01554
250.01604
Richardson0.01847

The C convergence is extremely slow — alpha is still growing rapidly at C=25. The Richardson extrapolation (0.01847) is unreliable because we are far from the asymptotic regime.

D=5 is NOT converged. Would require C > 100 for meaningful results.

Part 4: D=6

Even worse convergence than D=5:

Calpha_6(C, n=6)
50.00584
100.01175
150.01607
200.01949
Richardson0.03985

Alpha doubles from C=5 to C=20 and is clearly nowhere near convergence. The Richardson result is meaningless.

Part 5: Pattern Analysis

Using the converged values (D=3,4 only):

Dalpha_Dk_D = 1/(alpha*sqrt(pi))Converged?
30.074007.62Yes (~0.5%)
40.0235124.0Yes (0.024%)
5??No
6??No

Ratio alpha_3/alpha_4 = 3.147

This is tantalizingly close to pi = 3.1416 (0.2% away), which would mean:

alpha_3/alpha_4 = pi

If true: alpha_3 = pi * alpha_4 = pi/(24*sqrt(pi)) = sqrt(pi)/24 = 0.07385

Our measured alpha_3 = 0.0740, which is 0.2% above sqrt(pi)/24 = 0.07385. This is within the expected precision of our single-limit (C-only) Richardson extrapolation.

Conjectured formula

If alpha_3 = sqrt(pi)/24 and alpha_4 = 1/(24*sqrt(pi)), then:

alpha_D = pi^{(3-D)/2} / 24 ???

This gives:

  • D=3: pi^0/24 = 1/24 = 0.04167 — NO, this doesn’t match.

Or: alpha_D = 1/(24 * pi^{(D-3)/2})

  • D=3: 1/24 = 0.04167 — NO.

The simple power-of-pi scaling doesn’t work. The relationship alpha_3/alpha_4 ≈ pi might be a coincidence, or the formula might involve additional D-dependent factors.

Candidate formulas tested

FormulaD=3 errD=4 err
1/(D! * Gamma((D-1)/2))-125%-100%
1/(2*(D-1)! * Gamma(D/2))-281%-254%
Gamma((D-1)/2)/(4pi^((D-1)/2)(D-2)!)-7.5%+15.4%

None of the simple formula candidates match both D=3 and D=4.

What This Means

The D=4 generalization works

The D-dimensional radial chain correctly reproduces the known D=4 result via Richardson extrapolation (0.024% accuracy). This validates the generalization.

D=3 provides a new data point

k_3 ≈ 7.62 is NOT a simple integer or factorial, unlike k_4 = 24 = 4!. This suggests the formula alpha_D = 1/(D! * sqrt(pi)) does NOT hold in general. The D=4 coincidence k_4 = 4! = 24 may be special to D=4.

Higher dimensions need much larger C

The C convergence becomes dramatically slower in higher dimensions:

  • D=3: converged by C=20 (0.1% accuracy)
  • D=4: converged by C=30 (0.4% accuracy), Richardson gives 0.024%
  • D=5: NOT converged at C=25 (still growing rapidly)
  • D=6: NOT converged at C=20

This is because the degeneracy d_l grows as l^{D-3}, so modes at very large l contribute increasingly to the area law. A dedicated high-C computation for D=5 would be valuable but computationally expensive (C > 100 needed).

The ratio alpha_3/alpha_4 ≈ pi is suggestive

If confirmed by a double-limit analysis, this would imply alpha_3 = sqrt(pi)/24 = pi * alpha_4. This pi factor could arise from the difference in entangling surface geometry (S^1 in D=3 vs S^2 in D=4), but the theoretical explanation remains unclear.

Limitations

  1. Only D=3 and D=4 are converged. The D=5,6 results are preliminary upper bounds at best.
  2. Single-limit Richardson. A double-limit (n,C)→(∞,∞) analysis (as in V2.184) would improve D=3 accuracy from ~0.5% to ~0.01%.
  3. No pattern identified. With only two converged data points, we cannot distinguish between competing formulas.
  4. D=5 would be the decisive test — but requires C > 100 at n ~ 8, meaning l_max > 800 modes, each requiring a chain eigenvalue problem. This is computationally feasible but would take ~10x longer.