1RB0RB_1LC1RE_1LF0LD_1RA1LD_1RC1RB_---1LC
1RB0RB_1LC1RE_1LF0LD_1RA1LD_1RC1RB_---1LC (bbch) is a probviously non-halting BB(6) Cryptid found by @mxdys on 18 Aug 2024. Andrew Ducharme forward simulated the combined map (P(x), Q(x,y)) for 10^8 iterations. The TM did not yet halt. After 10^7 iterations, the TM reached a value (x',1) where x' ~ 10^604100, and after 10^8 iterations, it reached a value x ~ 10^(6.04305 x 10^6).
start: P(2) Rule P: P(2a) -> P(3a+4) Rule PQ: P(2a+1) -> Q(a+2,1) Rule QP1: Q(1,2b+1) -> P(3b+8) Rule Q1: Q(1,2b) -> Q(b+2,1) Rule QP2: Q(2a+3,b) -> P(b+5a+6) Rule Q2: Q(2a+2,b) -> Q(a,b+2a+5) Rule QH: Q(0,b) -> halt P(a) := 0^inf 1^a 011 <D 0^inf Q(a,b) := 0^inf 1^(2a+1) <D 0 1^b 0^inf

The rules have been proven in Lean.[1]

The TM will halt after N iterations of the map Q if it ever takes the form . This can only occur via P(2a+1) -> Q(a+2,1) or Q(1,2b) -> Q(b+2,1). The figure plots x for all cases (x,1) in the first 1000 iterations of R with a logarithmic scale along the vertical axis. The distance from any halting condition 2^M - 2 is growing exponentially with time, so it is only ever getting harder for this TM to halt.
On the trajectory starting from P(2), the Q(1,y) rules, at least through 10^5 steps, are never triggered. Thus, the implementation of the forward simulation can be made slightly faster (roughly 10% in practice) by, instead of nesting the execution of Q(x,y) within two if statements predicated on x=0 and x=1, only checking if x > 2, applying Q(x,y) if true, and throwing an exception if false.
Q(1, 0) has no predecessors in the map, it cannot be reached. Reachable Q-states always have b ≥ 1 (Stronger: b = 1 or b ≥ 5).
The backward chain to Q(0, b) is:
Q(0, b) ← Q(2, b') where b = b'+5 Q(2, b') ← Q(6, b'') where b' = b''+9 Q(6, ·) ← Q(14, ·) ← Q(30, ·) ← Q(62, ·) ← ...
General pattern: Q(2^(n+1) − 2, ·) chains down to Q(0, ·) through n halvings, all intermediate values being even.
The alternative path to Q(6, ·) is: Q(4, b) → Q(1, b+7) → Q((b+7)/2 + 2, 1) when b+7 is even (b odd), which gives Q(6, 1) when b = 1, i.e., Q(4, 1) → Q(1, 8) → Q(6, 1) → halt.
The P map
Since there is only one way the P phase can be left, it can be written as a function / map: where enters using Rule PQ. The recursive function is equivalent to:[2] Fixing the exponent, we get an infinite set of defining equations for , A natural question to ask, since needs as first argument to halt, is when is ? With the above definitions this leads to the infinite set of Diophantine equations: The start of a table of values where
n p(n) = 2^i-2 9 6 14 14 25 14 57 30 78 62 121 62 144 254 220 254 249 126 334 254 505 254 1017 510 1358 1022 2041 1022 4089 2046 5454 4094 8185 4094 14556 16382
Is Q(1, _) reachable?
The other way to halt is the Q(1,_) path but, when simulating the first rule steps, the machine never reaches a Q(1,_) state. For that, the PQ rule would have to output Q(4,_), or Q2 would have to output Q(4,_). The latter happens when we have Q(x,_) with . So, ultimately there is a second system of Diophantine equations that could tell us for which input to P, PQ outputs a Q state that leads to Q(1,_).