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Mathematical Object

Logistic Map

Dynamical Systems and Differential Equations

The logistic map is a discrete dynamical system defined by the equation x sub n+1 equals r times x sub n times the quantity one minus x sub n, a simple rule that repeatedly feeds its own output back in as the next input. It grew out of Pierre Francois Verhulst's earlier logistic differential equation for population growth, and was popularized as a discrete demographic model by the biologist Robert May in a widely read 1976 paper. As the parameter r is increased, the map's long-term behavior moves from settling at a fixed value, to oscillating between a small number of values through a series of period-doubling splits, to fully chaotic behavior in which tiny differences in starting value produce wildly different outcomes. The ratio at which each period-doubling step occurs approaches a fixed value called the Feigenbaum constant, and chaos sets in around r approximately equal to 3.56995, making the logistic map one of the simplest equations known to produce chaotic dynamics.

Facts
Partially Attested
Origin Year
1976 1
The discrete map traces back to Pierre Francois Verhulst's earlier continuous logistic growth equation; Robert May's 1976 paper is what introduced its chaotic behavior to wide scientific attention and gave the map its modern study.
Classification
Object Kind
Function 1
Connections

Is Kind Of Object

Functions, Concepts

Entity-backed identity for the object-kind enum value this mathematical object already carries, resolved to a mathematics concept by an explicit value-to-entity map (phase 3 bucket conversion, docs\design_entity_backed_browse_buckets_20260928.md). The object-kind fact itself stays on the object unchanged.

Sources
1. Logistic map, Wikipedia
Lead section
Quote, Lead section
It was popularized in a 1976 paper by the biologist Robert May
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