hi all. sometimes feel am going in circles with this collatz thing. seems infinitely slippery & impossible to get traction sometimes. have tried to think sideways/outside the box so many times it leads to circus contortions. or maybe that movie pi? or [less alarmingly, more comically] feels like the roadrunner, wile e. coyote, and ACME™ dynamite. back to the drawing board. deja vu all over again. but thats how its gonna be solved someday right? sometimes to console myself I try to remember that rome wasnt built in a day, theres a reason its unsolved, & its only a matter of coming up with another idea/the next experiment.
this following idea just occurred to me today. its utterly simple yet it looks promising at the moment, or nanosecond. what do you think? it has a nice backstory as usual, somewhat in line with the last thread of thoughts, may write it up sooner or later. hint: its a case of “reverse engineering” and asking whether where there’s smoke, theres fire. and, why didnt I think of this a long time ago?
Cyber-Zen Question: what does this plot imply?
def f(x) c = 0 x2 = x while (x2 >= x) while (x2.even?) x2 >>= 1 end x2 = x2 * 3 + 1 c += 1 end return c end n = 5 l = [] i = 0 m = 0 c = 0 mx = 0 loop \ { x = f(n) n += 2 m += x i += 1 if (m > 1.125 * mx) then puts([i, m].join("\t")) $stdout.flush mx = m m = 0 i = 0 c += 1 break if (c == 100) end }
hint: its inspired partly by this idea, basically looking at “integrated noise at different scales”. the variation in noise at different scales shows the self-similarity/scale-invariant/power-law properties of the collatz problem & its link to fractal properties.
def f(x) c = 0 x2 = x while (x2 >= x) while (x2.even?) x2 >>= 1 end x2 = x2 * 3 + 1 c += 1 end return c end def add(j) n = 5 i = 0 m = 0 c = 0 t = 2 ** (j + 1) loop \ { x = f(n) n += 2 m += x i += 1 if (i == t) then puts([t, m.to_f / t].join("\t")) $stdout.flush m = 0 i = 0 c += 1 break if (c == 100) end } end 10.times { |i| add(i) }
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