Bigfoot: Difference between revisions

From BusyBeaverWiki
Jump to navigation Jump to search
No edit summary
mNo edit summary
Line 49: Line 49:
Substituting <math>b\leftarrow6b+k</math> where <math>k</math> is the remainder for each case yields the final result.
Substituting <math>b\leftarrow6b+k</math> where <math>k</math> is the remainder for each case yields the final result.
</div></div>
</div></div>
Using the floor function, it is possible to describe the behaviour of <math>b</math> and <math>c</math> as one united formula:
Using the floor function, it is possible to describe the behaviour of <math>b</math> and <math>c</math> using a function that is not defined piecewise:
<math display="block">\textstyle\begin{array}{c}f(m,n)=\Big(\frac{4m-3-4(\delta_1(m)-\delta_2(m)+\delta_4(m))-2(3\delta_3(m)+\delta_5(m))}{3}+n,2+\delta_1(m)+3\delta_3(m)+\delta_5(m)\Big),\\\delta_i(m)=\Big\lfloor\frac{x-i}{6}\Big\rfloor-\Big\lfloor\frac{x-i-1}{6}\Big\rfloor=\begin{cases}1&\text{if }x\equiv i\pmod{6},\\0&\text{otherwise.}\end{cases}\end{array}</math>
<math display="block">\textstyle\begin{array}{c}f(m,n)=\Big(\frac{4m-3-4(\delta_1(m)-\delta_2(m)+\delta_4(m))-2(3\delta_3(m)+\delta_5(m))}{3}+n,2+\delta_1(m)+3\delta_3(m)+\delta_5(m)\Big),\\\delta_i(m)=\Big\lfloor\frac{x-i}{6}\Big\rfloor-\Big\lfloor\frac{x-i-1}{6}\Big\rfloor=\begin{cases}1&\text{if }x\equiv i\pmod{6},\\0&\text{otherwise.}\end{cases}\end{array}</math>
In effect, the halting problem for Bigfoot is about whether through enough iterations of <math>f(m,n)</math> we encounter more <math>m</math> values that are congruent to 2 modulo 6 than ones that are congruent to 1 or 4 modulo 6.
In effect, the halting problem for Bigfoot is about whether through enough iterations of <math>f(m,n)</math> we encounter more <math>m</math> values that are congruent to 2 modulo 6 than ones that are congruent to 1 or 4 modulo 6.
Line 59: Line 59:
After 69 steps, Bigfoot will reach the configuration <math>A(2,1,2)</math> before the [[Collatz-like]] rules are repeatedly applied. Simulations of Bigfoot have shown that after 24000000 rule steps, we have <math>a=3999888</math>. Here are the first few:
After 69 steps, Bigfoot will reach the configuration <math>A(2,1,2)</math> before the [[Collatz-like]] rules are repeatedly applied. Simulations of Bigfoot have shown that after 24000000 rule steps, we have <math>a=3999888</math>. Here are the first few:
<math display="block">\begin{array}{|l|}\hline A(2,1,2)\xrightarrow{49}A(3,1,3)\xrightarrow{59}A(4,2,3)\xrightarrow{109}A(3,6,2)\xrightarrow{221}A(3,9,2)\xrightarrow{379}A(3,11,5)\xrightarrow{597}A(3,18,3)\rightarrow\cdots\\\hline\end{array}</math>
<math display="block">\begin{array}{|l|}\hline A(2,1,2)\xrightarrow{49}A(3,1,3)\xrightarrow{59}A(4,2,3)\xrightarrow{109}A(3,6,2)\xrightarrow{221}A(3,9,2)\xrightarrow{379}A(3,11,5)\xrightarrow{597}A(3,18,3)\rightarrow\cdots\\\hline\end{array}</math>
There exists a heuristic argument for Bigfoot being [[probviously]] nonhalting. After removing the instances in which <math>a</math> does not change, one notices that the trajectory of <math>a</math> values can be approximated by a random walk in which at each step, the walker moves +1 with probability <math display="inline">\frac{2}{3}</math> or moves -1 with probability <math display="inline">\frac{1}{3}</math>, starting at position 2. If <math>P(n)</math> is the probability that the walker will reach position -1 from position <math>n</math>, then <math display="inline">P(n)=\frac{1}{3}P(n-1)+\frac{2}{3}P(n+1)</math>. Solutions to this recurrence relation come in the form <math display="inline"> P(n)=c_02^{-n}+c_1</math>, which after applying the appropriate boundary conditions reduces to <math display="inline">P(n)=2^{-(n+1)}</math>. As a result, if the walker gets to position 3999888, then the probability of it ever reaching position -1 would be <math display="inline">2^{-3999889}\approx 2.697\times 10^{-1204087}</math>.
There exists a heuristic argument for Bigfoot being [[probviously]] nonhalting. By only considering the rules for which <math>a</math> changes, one may notice that the trajectory of <math>a</math> values can be approximated by a random walk in which at each step, the walker moves +1 with probability <math display="inline">\frac{2}{3}</math> or moves -1 with probability <math display="inline">\frac{1}{3}</math>, starting at position 2. If <math>P(n)</math> is the probability that the walker will reach position -1 from position <math>n</math>, then <math display="inline">P(n)=\frac{1}{3}P(n-1)+\frac{2}{3}P(n+1)</math>. Solutions to this recurrence relation come in the form <math display="inline"> P(n)=c_02^{-n}+c_1</math>, which after applying the appropriate boundary conditions reduces to <math display="inline">P(n)=2^{-(n+1)}</math>. As a result, if the walker gets to position 3999888, then the probability of it ever reaching position -1 would be <math display="inline">2^{-3999889}\approx 2.697\times 10^{-1204087}</math>.
==References==
==References==
<references/>
<references/>
[[Category:Cryptids]]
[[Category:Cryptids]]

Revision as of 11:07, 14 April 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.

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:

  1. If , then what follows is:
    Therefore, we have
  2. 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:

  1. 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.
  2. If , then in steps we arrive at , or . What follows is:
    This means that if , then we will reach in steps.
  3. 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.
  4. If , then in steps we arrive at , or . What follows is:
    This means that we will reach in steps.
  5. If , then in steps we arrive at , or . What follows is:
    This means that we will reach in steps.
  6. 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]

In May 2024, Iijil shared a 7-state, 2-symbol machine, 0RB1RB_1LC0RA_1RE1LF_1LF1RE_0RD1RD_1LG0LG_---1LB (bbch), that has the same behaviour as Bigfoot.[2]

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 nonhalting. 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

  1. 1.0 1.1 S. Ligocki, "BB(3, 3) is Hard (Bigfoot) (2024). Accessed 22 July 2024.
  2. P. Michel, "Historical survey of Busy Beavers".