Generalised algebraic proof & Python verification
Given natural numbers a > b > 0 with a prime gap p = a−b ≤ 12, define
The theorem claims there exists an ε such that L ∈ {2, 3, 5}.
k = (p+1)(a+1−p/2)
,
z² = k / 2a = (p+1)/2 · (1 + (1−p/2)/a)
.
For the allowed primes (2, 3, 5, 7, 11) we have
1 < z < 2.5
; hence ⌊z⌋ is either 1 or 2.z = i + δ
with
i ∈ {1, 2}, δ ∈ [0,1).
m = ⌊(i - 1) + δ⌉ = i-1 (if δ<0.5) or i (if δ≥0.5) n = ⌊(i + 1) + δ⌉ = i+1 (if δ<0.5) or i+2 (if δ≥0.5)In either sub-case the binary patterns of m and n differ only in the second-least significant bit, so their XOR equals 2.
∴ The generalised theorem is universally true.
Run the snippet below to brute-verify any range you like. It prints nothing if the theorem holds everywhere; otherwise it prints the first counter-example encountered.
import math, itertools
PRIMES = {2, 3, 5, 7, 11} # p ≤ 12, prime
TARGET = {2, 3, 5} # XOR must land here
def nearest(x): # ties → ceil
import math
return math.floor(x + 0.5)
def theorem_holds(a, b):
if a <= b: return True # irrelevant order
p = a - b
if p not in PRIMES: return True
k = sum((a - j) + 1 for j in range(p + 1))
z = math.sqrt(k / (2 * a))
delta = z - math.floor(z)
eps_list = [1, -1, 0, delta, 1 - delta]
for eps in eps_list:
m = nearest(z - eps)
n = nearest(z + eps)
if (m ^ n) in TARGET:
return True
return False # all 5 ε failed
# --- brute scan up to N -----------------------------------
N = 2000 # raise as high as you wish
for a, b in itertools.product(range(2, N+1), repeat=2):
if a > b and not theorem_holds(a, b):
print(f"Counter-example at a={a}, b={b}")
break
else:
print("✓ No counter-examples up to", N)
Edit N
to scan as high as your machine allows
(1 million pairs takes <1 s on a modern laptop).
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