Lucy's Moonlight

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1RB0RD_0RC1RE_1RD0LA_1LE1LC_1RF0LD_---0RA (bbch)

Lucy's Moonlight is a probviously halting tetrational BB(6) Cryptid. This Turing machine was first mentioned on Discord by Racheline on 1 Mar 2025, who afterward found a set of high-level rules describing it. Shawn Ligocki later discovered and shared a more refined set of rules, displayed below.

0 1
A 1RB 0RD
B 0RC 1RE
C 1RD 0LA
D 1LE 1LC
E 1RF 0LD
F --- 0RA
The transition table of Lucy's Moonlight.

Analysis

Let . Then,

Proof

Consider the partial configuration , which after three steps is . To advance, this shift rule is required:

This means we have after steps, with after three further steps. From here, we can use the fact that becomes in four steps if to get this rule:
Using this rule produces in steps. With five more steps, we get , which is also . To summarize:
With we have and are able to apply this rule times, with three possible scenarios:

  1. If , then in steps we arrive at . The matching complete configuration is . In steps we have , followed by after three steps. We note that if , then becomes in 8 steps, giving this transition rule:
    In this instance, the result is , equal to , after steps. This gives a total of steps.
  2. We can rewrite as if . Given this, we have , and if , then in steps we arrive at , which in steps becomes , and then after three more steps. We end with steps to get , equal to . This gives a total of steps.
  3. If and we reuse the technique of rewriting , then in steps we arrive at , which in steps becomes , and then in five steps, . Adding steps gives us , and another eight gives us . After steps, the configuration is and after three more, . We conclude with , equal to , after steps, for a total of steps.

The behaviour of Lucy's Moonlight changes at the boundary conditions: or . These changes are addressed below:

  1. If and , then starting from , we take three steps to get . It is here that another shift rule must come into use:
    Upon using this shift rule, we get in steps. This configuration is the same as . With 40 more steps, we end at , equal to , for a total of steps.
  2. If and , then in steps we arrive at . With more steps we now have . Given five steps, the result is , which turns into , equal to in steps for a total of steps.
  3. If and , then starting from , we get in three steps. Since and are the same, what follows is in steps before finally reaching , and therefore the undefined F0 transition, in three steps. This gives a total of steps.
  4. If and , then in steps we arrive at . It takes a further steps to reach , and adding three more gives us . With more steps we end up with , equal to . This gives a total of steps.
  5. If and , then starting from , we take three steps to get , and taking more steps produces . After 40 steps, we reach , which is , for a total of steps.

The information above can be summarized as

Substituting , where is the remainder of modulo 3, yields the final result.

These rules imply a sequence that grows tetrationally in , which Lucy's Moonlight iterates through one by one. For each , it reaches the configuration and then repeatedly applies the first three rules until meeting a configuration that satisfies the boundary conditions. If and is congruent to 1 modulo 3, then Lucy's Moonlight will halt; otherwise, it moves on to the next term in .

Trajectory

Starting with after two steps, Lucy's Moonlight repeatedly applies the Collatz-like rules. The first few steps are shown below:

From , it takes 11 rule steps to get and 6811 more to get , where . Despite this rapid growth, Lucy's Moonlight appears to be probviously halting if one considers each instance of as the beginning of an independent round of a luck-based game, detailed below:

  1. A large number is generated randomly.
  2. At each time unit, will decrease by 1 with probability or decrease by 2 with probability provided that .
  3. If , then will decrease to 0, the game is won, or a new round begins, each with probability .
  4. If , then a new round begins.

The probability of winning a round with starting value , denoted , is described for by the recurrence relation . The general solution to this equation is , and by using the conditions and we get . This approximately equals for large , so the probability of winning the game in rounds is approximately , which approaches 1 as increases.