Constants
Named analytic constants — Golomb–Dickman, a
Poisson–Dirichlet spectrum, Artin — as the solvency thresholds of
designed growth economies.
The self-growing tower's asymptotics run on one estimate — the
density of transparent steps
(Growth) — and its
dynamical complexity has an exact ledger in the shifted primes
p − 1 (the complexity
ledger). What happens when a growth fate is
designed to have a numerical threshold? Overlay on the
primorial schedule a reserve that earns ρ log p at each
prime and pays a chosen cost w(p) ≥ 0:
R(k) = ρ·θ(pk) −
Σi≤k w(pi),
θ(x) = Σp≤x log p.
Whether the reserve thrives or sinks is decided by a single
number, and the numbers that appear are the analytic-prime-constant
zoo. Every in-range value below is at k = 104 (the
first 104 primes, p ≤ 104,729).
The realizer
The realizer
identity rule
R(k) =
θ(pk)·[ρ −
S(k)/θ] with S = Σ w, so the
reserve thrives (R → +∞) iff ρ exceeds
ρc(w) = lim Σ
w(pi)/θ(pk) — the
weight's Cesàro log-average, when it converges. Calibration
weights land exactly: w = log p realizes
ρc = 1.000000 — sinking at ρ = 0.9,
thriving at 1.1 — and w = ½ log p realizes
0.500000. Every
nonnegative value is therefore trivially reachable
(w = c·log p gives ρc =
c), and the realizer re-expresses a prime log-average, never
derives it. The content is which structured weights land
on which named constants — the two families below.
Scope. Elementary (the drift calculus);
calibrations exact in range.
verifier:
explore_reserve_zoo.py
The rank family
The rank
family rule
Weight wj(p) =
log Pj(p−1), the j-th largest prime
factor of p − 1 with multiplicity
(P+ denotes P1, the largest).
The factors partition
log(p−1) exactly — Σj
log Pj(p−1) = log(p−1) at every
prime — so the thresholds sum to 1 in the limit:
Σj ρc(j) =
log φ/θ → 1, in range 0.999971. The spectrum is
ordered, positive, decreasing:
ρc(1..3) = 0.5791, 0.1931, 0.0980,
tail (ranks ≥ 4) 0.1298. In the limit, under Elliott–Halberstam,
it is the Poisson–Dirichlet(1) / Shepp–Lloyd spectrum of the
Dickman ordered factorization (0.6243, 0.2096, 0.0883, …); the
identification is open unconditionally. The integer positive
control — the same machinery on unshifted n ≤ x —
gives [0.6523, 0.2006, 0.0789], inside the PD bands and above the
shifted value at j = 1: the straddle. Finite range confirms
the ordered spectrum and the conservation, not the limit
values.
Scope. The partition and the per-k
conservation are exact, Σ → 1 elementary; the in-range values are
observations. The PD identification is a theorem under
Elliott–Halberstam — level of distribution 1 gives the full joint
PD(1) law (Bharadwaj–Rodgers, arXiv:2402.11884; the j = 1
Dickman case Pomerance's conjecture, EH-proof Granville–Wang) —
and open unconditionally: shifted primes hold level ½
(Bombieri–Vinogradov), buying restricted-support PD correlations
only.
verifiers:
explore_reserve_zoo.py,
explore_ledger_threshold.py
The density family
The density
family rule
Weight w(p) = log p · 1[E(p)]
for an event E of prime density δ realizes
ρc = δ: the threshold is the density
itself (the log-weighted density equals the natural one).
E = “p ≡ 1 mod 4” gives 0.4987 → ½
(Dirichlet). E = “2 is a primitive root mod
p” gives 0.3749 — Artin's constant 0.3740 under GRH
(Hooley), an infinite Kummer intersection rather than a single
Chebotarev class. A
density constant is a different kind than the rank family's Dickman
size-averages; the one lever w reads both kinds.
Scope. Threshold = density is a rule; the
in-range values are observations. The Artin value is Hooley's
theorem under GRH; the ½ anchor is Dirichlet's theorem.
verifier:
explore_reserve_zoo.py
The zoo in one chart
The three named irrationals are ordered and mutually distinct
already in range: PD2 0.193 < Artin 0.375 <
λGD 0.579.
| weight w(p) |
threshold, k = 104 |
limit | the limit's status |
| log P3(p−1) |
0.0980 | PD3 ≈ 0.0883 |
theorem under EH; open unconditionally |
| log P2(p−1) |
0.1931 | PD2 ≈ 0.2096 |
theorem under EH; open unconditionally |
| log p · 1[2 primitive root] |
0.3749 | Artin 0.3740 |
theorem under GRH (Hooley); open unconditionally |
| log p · 1[p ≡ 1 mod 4] |
0.4987 | ½ |
theorem (Dirichlet) |
| log P+(p−1) |
0.5791 | λGD 0.6243 |
theorem under EH; open unconditionally |
| log p |
1.000000 | 1 |
exact (calibration) |
The hinge
The size weight log P+(p−1) — rank 1
above — lands on a positive constant. A count-weighted
sibling — earn ρ per step, pay 1 per λ-raise
(the complexity ledger's
jumps) — has for its threshold the limsup non-transparent density,
degenerate at 0 exactly when the transparency density → 1: the open
conjecture itself. One distinction explains the split. Here
φ(pk#) =
∏i≤k(pi − 1) is the rung's
unit count (its capacity) and λ(pk#) =
lcm(pi − 1) its universal period (its dynamical
complexity).
The collision
hinge property
log φ counts every hit of every prime power in the
shifted primes with multiplicity; log λ counts each hit
power once. Their gap is the collision mass — prime powers
dividing several shifted primes — and
α = log λ/log φ = 1 − collision/log φ,
exactly. In range the collision mass is 0.8349 of capacity
(α = 0.1651), and nearly all of log λ is distinct
large primes: the mass from primes above
√pk is 0.9749, while the Linnik-guaranteed range
— prime powers up to pk1/5 — carries
4.5·10−4. Elementary
bounds sandwich α only between the Linnik floor
7.5·10−5 and 1, and α → 0 is equivalent
to the transparency-density conjecture
(the collision
equivalence, elementary), so forcing it amounts to a
lower bound on how much large shifted-prime factors repeat
— the shifted-prime distribution circle. The hinge: the count
reserve (lcm, distinct) loses the collision mass — its threshold is
0 iff transparency density → 1, the open conjecture itself; the
size reserve (product, multiplicity) keeps every occurrence — its
threshold is positive and stable in range
(λGD under EH). One distinction, both fates.
Scope. The identity is exact (three
computations agree to 10−6, k ≤ 104);
the mass-locus is an observation; the equivalence is a theorem —
it settles the question's shape, not its value.
verifiers:
explore_ledger_threshold.py,
explore_complexity_ledger.py,
explore_collision_equivalence.py
The settled end
The abscissa
reserve observation
A genuinely different solvency mechanism — the least s at
which D(s) = Σp
1/P+(p−1)s converges,
the abscissa σc, rather than an average —
realizes no constant,
and the reason is an inversion. The Cesàro log-weight reads the
bulk of the P+ distribution (0.7456 of its mass
on the rough set P+ > √(p−1)); the
reciprocal weight reads the smooth tail (0.0461 rough — the band
P+ ≤ 11 alone carries 0.7638 of
D(2)). That tail is carried by smooth shifted primes —
P+ = 2 exactly the Fermat primes, frozen at 5 in
range; P+ = 3 the Pierpont primes — and
Dk(2) climbs 2.25 → 12.66 with a non-vanishing
tail. Divergence is a theorem at every computed exponent:
friable-shifted-prime counts force D(s) = +∞ for
every s < 1/0.2844 ≈ 3.52, so σc >
3.51 and only the endpoint σc = +∞ stays open —
where Pierpont infinitude is a sufficient certificate, not an
equivalent. The integer control isolates the shift at that
endpoint: unshifted smooth counts are unconditionally infinite
(3-smooth 100 vs the shifted 31 in range), so the integer endpoint
is provable while the shifted one waits.
Scope. The inversion and the climb are
observations, k ≤ 104. The fixed-s
divergence is Lichtman's theorem (arXiv:2211.09641, Thm 1.1, won by
extending the Bombieri–Friedlander–Iwaniec mean-value range;
Baker–Harman 1998 before it); the endpoint is open.
verifier:
explore_abscissa_reserve.py
One circle governs the whole page: the shifted-prime level of
distribution — Bombieri–Vinogradov at ½, Elliott–Halberstam at 1, the
Fouvry / Bombieri–Friedlander–Iwaniec range extensions between. The
Cesàro average reads the bulk of P+(p−1),
where the constants are open — the PD spectrum under EH, Artin under
GRH. The abscissa reads the smooth tail, where the same circle's
theorems already force degeneracy, leaving existence only the
endpoint. The two ways to ask whether a designed economy is solvent
read the two ends of one distribution — and the tail end, where
existence lives, is the one the theorems already own.