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| The transition table of Bigfoot.</div> | | The transition table of Bigfoot.</div> |
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| Bigfoot was also [https://github.com/sligocki/sligocki.github.io/issues/8#issuecomment-2140887228 successfully compiled] to a 7-state 2-symbol machine by Iijil: {{TM|0RB1RB_1LC0RA_1RE1LF_1LF1RE_0RD1RD_1LG0LG_---1LB}} in May of 2024.
| | In May of 2024, Iijil [https://github.com/sligocki/sligocki.github.io/issues/8#issuecomment-2140887228 compiled] Bigfoot into a 7-state 2-symbol machine {{TM|0RB1RB_1LC0RA_1RE1LF_1LF1RE_0RD1RD_1LG0LG_---1LB}}. |
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| == Analysis == | | == Analysis == |
Revision as of 14:44, 24 July 2025
1RB2RA1LC_2LC1RB2RB_---2LA1LA
(bbch)
Unsolved problem:
Does Bigfoot run forever?
Bigfoot is a BB(3,3) Cryptid. Its low-level behaviour was first shared over Discord by savask on 14 Oct 2023, and within two days, Shawn Ligocki described the high-level rules shown below, whose attributes inspired the Turing machine's name.[1]
|
0 |
1 |
2
|
A
|
1RB
|
2RA
|
1LC
|
B
|
2LC
|
1RB
|
2RB
|
C
|
---
|
2LA
|
1LA
|
The transition table of Bigfoot.
In May of 2024, Iijil compiled Bigfoot into a 7-state 2-symbol machine 0RB1RB_1LC0RA_1RE1LF_1LF1RE_0RD1RD_1LG0LG_---1LB
(bbch).
Analysis
Let
. Then,

Proof
For now, we will work with the slightly different configuration
. Consider the partial configuration
. We first require the following shift rule:

Using this shift rule, we get

after

steps, followed by

four steps later. Observing that

becomes

in two steps leads to another shift rule:

From here, there are two different scenarios depending on if

is even or odd, given below as histories of transitions that use the aforementioned shift rules:
- If
, then what follows is:
Therefore, we have
- If
, then what follows is:
Therefore, we have

From this we know that Bigfoot's behaviour depends on the value of

modulo 12, and with

we have

. The following shift rules will be useful:

Only even values of

and

are relevant, so there remain six possible scenarios:
- If
, then in
steps we arrive at
, or
when considering the complete configuration. What follows is:
This means that if
, then we will reach
in
steps.
- If
, then in
steps we arrive at
, or
. What follows is:
This means that if
, then we will reach
in
steps.
- If
, then in
steps we arrive at
, or
. What follows is:
This means that if
, then Bigfoot will reach the undefined C0
transition with the configuration
in
steps. Otherwise, it will proceed to reach
in
steps.
- If
, then in
steps we arrive at
, or
. What follows is:
This means that we will reach
in
steps.
- If
, then in
steps we arrive at
, or
. What follows is:
This means that we will reach
in
steps.
- If
, then in
steps we arrive at
, or
. What follows is:
This means that we will reach
in
steps.
The information above can be summarized as

Using the definitions of

and

to transform these rules produces this:

Substituting

where

is the remainder for each case yields the final result.
Using the floor function, it is possible to describe the behaviour of
and
using a function that is not defined piecewise:

In effect, the halting problem for Bigfoot is about whether through enough iterations of

we encounter more

values that are congruent to 2 modulo 6 than ones that are congruent to 1 or 4 modulo 6.
An important insight is that if
is odd and
, then after four iterations of
, that will remain the case. This allows one to define a configuration that eliminates the
parameter and whose rules use a modulus of 81.[1]
Trajectory
After 69 steps, Bigfoot will reach the configuration
before the Collatz-like rules are repeatedly applied. Simulations of Bigfoot have shown that after 24000000 rule steps, we have
. Here are the first few:

There exists a heuristic argument for Bigfoot being
probviously non-halting. By only considering the rules for which

changes, one may notice that the trajectory of

values can be approximated by a random walk in which at each step, the walker moves +1 with probability

or moves -1 with probability

, starting at position 2. If

is the probability that the walker will reach position -1 from position

, then

. Solutions to this recurrence relation come in the form

, which after applying the appropriate boundary conditions reduces to

. As a result, if the walker gets to position 3999888, then the probability of it ever reaching position -1 would be

.
References