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.

We can define these functions:

  • (the movement of according to the first three rules)
  • (which imitates decreasing, with representing function iteration)
  • (the number of iterations of needed to reach a boundary condition)
  • (representing rules 5 and 7)
  • (the amount of times must be applied to reach a multiple of 3)

The sequence of values for which as long as Lucy's Moonlight does not halt, we get configurations of the form , denoted , can be written as:

Lucy's Moonlight halts if and only if there exists a such that and .

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 . Because grows tetrationally, analysis of and is critical to understanding the nature of any additional terms of this sequence. Despite this, Lucy's Moonlight can be argued to probviously halt if one considers each instance of as the beginning of an independent round of a luck-based game, detailed below:

  1. A random large number is generated.
  2. At each time unit, will decrease by 1 with probability or decrease by 2 with probability . This step repeats as long as .
  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.

If is the probability of winning a round with starting value , then if . This is a recurrence relation whose general solution is . The boundary conditions and enable us to obtain and . Since , for large , so the probability of winning the game in rounds is approximately . Because there is an unlimited number of rounds available, the game will almost surely be won eventually, so Lucy's Moonlight will almost surely halt.