For a [logistic map](https://en.wikipedia.org/wiki/Logistic_map) using $f_r(x)=rx(1-x)$, what values of $r$ and starting $x$ are guaranteed (i.e., with an accepted proof) to be chaotic? I mean "chaotic" in the loosest sense: The limiting sequence of $x$ does not tend to a finite number of points. I am currently using $r=3.8$ and starting $x=0.501234567890123456789$, but have only tested through 10,000 iterations. What is the probability that I am chaotic? --- EDIT: Below are new results (with 4,000,000 bits of precision to avoid any rounding problems) for 2,000,000 iterations (showing matches to "0.72224", the end's most significant digits). So, I believe it is fair to say that there are 3 possible cases: 1) There is no limit cycle (through infinity), 2) There is a limit cycle of at least 1,105,578 points, or 3) There is a smaller limit cycle but any "two points chosen from the first 2,000,000 points" are not both within one limit point's attractor zone. #2 seems the most unlikely. #3 seems unlikely simply because I chose such round numbers from the start. According to answers here, however, it does seem like the probability for #1 is not 100%. Maybe someone can put my statements here into proper mathematical language and clarify this better. n: x_n ----------------------- 53951: 0.7222489331 66539: 0.7222408270 68976: 0.7222441979 75138: 0.7222495664 120428: 0.7222473699 134963: 0.7222441673 235912: 0.7222411119 395643: 0.7222459509 closest greater value 417062: 0.7222404139 462528: 0.7222468852 472142: 0.7222408308 645137: 0.7222474275 679584: 0.7222492244 731458: 0.7222410420 761284: 0.7222468048 891274: 0.7222442328 894423: 0.7222448046 closest lower value 935412: 0.7222498698 1110025: 0.7222446506 1220483: 0.7222447341 1222255: 0.7222485044 1269796: 0.7222407187 1301786: 0.7222439936 1422147: 0.7222488714 1431959: 0.7222457998 1503338: 0.7222445272 1509878: 0.7222404127 1568206: 0.7222447453 1569439: 0.7222415020 1612039: 0.7222497768 1634269: 0.7222406207 1642044: 0.7222450907 1791569: 0.7222487370 1865739: 0.7222420900 1879844: 0.7222427753 1902889: 0.7222493257 2000000: 0.7222453893 end