The full tent map on the unit interval is
Its two affine branches expand lengths by two, and it preserves Lebesgue measure.
For with , the largest closed interval mapped onto itself is . It equals the image of . Every point outside enters after one iterate, because . It subsequently remains in .
// Target: dynamical-systems.bigb
If , every nondegenerate subinterval of eventually maps onto . Away from the critical point, lengths multiply by ; one fold loses at most a factor of two. If an interval and its image both contain zero, its second image is . Otherwise every two steps increase length by at least , which cannot continue inside bounded . Applying the intermediate value theorem to an interval that covers itself then gives a periodic point in every subinterval.
// Target: dynamical-systems.bigb
For , the interval is invariant under the second iterate of the tent map. The affine coordinate conjugates that restriction to the tent map with parameter . Its two linear pieces give the identity directly. This turns the two-iterate horseshoe threshold into a four-iterate threshold and explains why chaotic invariant sets need not have periodic points near the original nonzero fixed point.
For , set and . The tent map sends to , with disjoint interiors, and . Directly,
Successive squaring eventually brings every into . A horseshoe for an interval map of an iterate in the renormalized coordinate lifts to a horseshoe of an iterate of the original map.
// Target: dynamical-systems.bigb
Given a finite measurable partition of an interval, the itinerary of records which partition element contains each iterate . Prescribing a finite initial word defines an itinerary cylinder. For the full tent map, every length- binary cylinder has Lebesgue measure up to endpoint conventions, so its itinerary process is a fair i.i.d. Bernoulli process.
An itinerary cylinder is the set of points whose first finitely many itinerary symbols equal a prescribed finite word. Such cylinders generate the symbolic σ-algebra and pull back to finite intersections of inverse images of partition elements.

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The Tent map is a mathematical function that is often used in the study of chaotic systems in dynamical systems theory. It is a simple yet powerful example of how complicated behavior can arise from a deterministic system. The Tent map is typically defined over the interval \([0, 1]\) and is given by the following piecewise function: \[ T(x) = \begin{cases} 2x & \text{if } 0 \leq x < 0.