Discrete map · 1D · dim 1
Tent map
Piecewise-linear cousin of the logistic map with the same topological structure but no quadratic curvature. The full tent (μ = 2) is conjugate to the logistic at r = 4 and to the Bernoulli shift on binary strings.
Equations
x_{n+1} = μ · min(x_n, 1 − x_n)At a glance
| Parameters | μ ∈ (1, 2] |
|---|---|
| Chaotic for | μ > 1 |
| Lyapunov exponent | λ = ln μ |
| History | Studied extensively from the 1970s onward. |
Try it
Open the interactive playground at /tools/cobweb.
See also
Quick quiz
Test yourself on tent
8 multiple-choice questions. Pick an answer for each, then submit to see explanations.
Q1.The Lyapunov exponent of the tent map x ↦ μ·min(x, 1−x) is:
Q2.At μ = 2 the tent map is conjugate to the:
Q3.Below μ = 1 the tent map has:
Q4.Compared to logistic, the tent has:
Q5.The tent map has an invariant density equal to:
Q6.The skew tent map differs from the symmetric tent by:
Q7.Topological entropy of the full tent map is:
Q8.Tent map's bifurcation diagram differs from logistic in: