OFFSET
1,2
COMMENTS
The frequency depth of a sequence is the number of iterations of the run transform on a sequence required to reach 1. See A327662 for an equivalent definition using different terms.
Note that we only need to consider sequences consisting of 1s and 2s (or any two values, which serve to delineate the start and end of a run).
EXAMPLE
a(5) is 6 because the greatest number of iterations of the run transform before a sequence of length 5 reaches 1 is 6. For example, 1,2,2,1,2 -> 1,2,1,1 -> 1,1,2 -> 2,1 -> 1,1 -> 2 -> 1. This is 6 steps (the most we can get), so a(5) = 6.
PROG
(Python)
from itertools import groupby, product
def RT(t): # run transform of tuple t
return tuple(len(list(g)) for k, g in groupby(t))
def f(t):
i = 0
while t != (1, ): t, i = RT(t), i+1
return i
def a(n):
return max(f((2, )+t) for t in product((1, 2), repeat=n-1))
print([a(n) for n in range(1, 21)]) # Michael S. Branicky, Jun 03 2026
CROSSREFS
KEYWORD
nonn,more
AUTHOR
Neal Gersh Tolunsky, Jun 03 2026
EXTENSIONS
a(22)-a(31) from Michael S. Branicky, Jun 03 2026
STATUS
approved
