The logistic map typically converges to a "carrying capacity", or output value across iterations, at r values (the growth rate) under 3. After 3, the value the system converges to bifurcates multiple times until r reaches 3.57. After 3.57, it exhibits entirely chaotic behavior and I'm not sure why this exact value is so significant. I've seen some sources discuss bifurcation past 3 in other similar systems, but 3.57 seems so random to me.
To elaborate on the topic and my understanding, the bifurcation diagram is derived from the logistic map (seen on the wikipedia citation) by incrementally adjusting the growth rate 'r' and plotting the system's converging values (x sub n+1). Past r=3, the system bifurcates and oscillates between 2 values instead of one and continues to do this, going through periods 4, 8, 16...etc., until r=3.57 where it exhibits chaos and does not converge. From what I understand, the chaos and bifurcations originate from the alterations to the system's points of stabilization and equilibrium. Whatever property of non-linear dynamical systems or the logistic map that causes this is unknown to me as much of the generalizations go over my head. The only other significant point to add is that the bifurcation diagram has consecutive stable periods with a ratio equal to the feigenbaum constant ~4.6692 and the diagram is a partial projection of the Mandelbrot set on a 3rd axis.
Main sources: Contributors to Wikimedia projects. Logistic Map - Wikipedia. Wikimedia Foundation, Inc., 19 Aug. 2024, en.wikipedia.org/wiki/Logistic_map.
Logistic Map -- from Wolfram MathWorld. wolfram.com, 7 Nov. 2024, mathworld.wolfram.com/LogisticMap.html. Alonso-Sanz, R., et al.
“Bifurcation and Chaos in the Logistic Map with Memory.” Int. J. Bifurc. Chaos, Dec. 2017, semanticscholar.org/paper/….
Also Steven Strogatz book "non-linear dynamics and chaos" and Veritasium's video on the bifurcation diagram.