ON INTERVALS, SENSITIVITY IMPLIES CHAOS ´ ´ HECTOR MENDEZ-LANGO Abstract. In this note we investigate what properties can be derived for a continuous function f defined on an interval I if the only a priori given information is its sensitive dependence on initial conditions. Our main result is the following: If f is sensitive, then f is chaotic, in the sense of Devaney, on a nonempty interior subset of I; the set of aperiodic points is dense in I as well as the set of asymptotically periodic points; and f has positive topological entropy.

1. Introduction The three conditions of Devaney’s definition of chaos for mappings are: density of periodic points, topological transitivity, and sensitive dependence on initial conditions (see [Dev]). It is known that the first two conditions imply the third one provided that the mapping is defined on a perfect space (see [Ban]). In this note we focus on functions defined on the interval. In this setting, sensitivity on initial conditions implies by itself a very interesting dynamics as we shall see. Let I be the interval [0, 1] in the real line R. Let f : I → I be a continuous function. It is known (see [Nit] and [Vel]) that if f is transitive on I, then the discrete dynamical system induced by f is chaotic in the sense of Devaney on I. On intervals, transitivity is a strong condition. The third condition in Devaney’s definition is very important. Most of the authors agree in one point: chaotic dynamics must show sensitive dependence on initial conditions. The main result of this note is a partial answer to the following question: What can we say about the dynamics of f : I → I if we only know that f exhibits sensitive dependence on initial conditions? 2000 Mathematics Subject Classification. Primary 54H20, 37B40. Key words and phrases. Sensitivity, topological entropy, chaotic maps. 1

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Although on spaces with dimension greater than one sensitivity generally does not imply complex dynamics (in section 5 we give an example on the torus showing this), on the interval sensitivity implies a complex behavior. Our main result is stated as follows: Theorem. If f : I → I exhibits sensitive dependence on initial conditions, then: i) There exists an invariant closed subset A ⊂ I such that f |A is chaotic on A in the sense of Devaney. Furthermore, this chaotic set has nonempty interior. ii) The sets Γ = {x ∈ I |ω(x, f ) has infinite cardinality } and its complement, Ψ = I \ Γ, are both dense in I. In section 4 we show that sensitivity also implies that the topological entropy of f : I → I is positive. This fact, positive entropy of f , is accepted by other authors (see [Blo]) as a criterion to decide whether f exhibits chaotic dynamics or not. 2. Basic definitions Let x be a point of I, the orbit of x under f is the set  o(x, f ) = x, f (x), f 2 (x), ... ,

where f n is the composition of f with itself n times, f n = f ◦ f ◦ · · · ◦ f. Also, f 0 is the identity function and f 1 = f . We say that x is a periodic point of f (of period n) if there exists n ∈ N such that f n (x) = x and f k (x) 6= x for all 1 ≤ k < n. If f (x) = x, then x is a periodic point of period one. Let us denote by P er(f ) the set of all periodic points of f. Each interval or subinterval referred in this note has nonempty interior. Let y be a point in I, the set of all limit points of o(y, f ) is denoted by ω(y, f ), i.e.,   n i ω(y, f ) = z ∈ I there exists {ni } ⊂ N, lim f (y) = z . ni →∞ We say that y ∈ I is an asymptotically periodic point of f if there exists x ∈ P er(f ) such that limn→∞ |f n (y) − f n (x)| = 0. Notice that in this case ω(y, f ) = o(x, f ). It is known (see [Blo]) that the set ω(y, f ) has finite cardinality if and only if y is asymptotically periodic point. Therefore if the cardinality of ω(y, f ) is not finite, the behavior of o(y, f ) does not tend to a periodic motion, thus its dynamics is not simple. The point y ∈ I is said to be an aperiodic point of f if ω(y, f ) is not a finite set.

ON INTERVALS, SENSITIVITY IMPLIES CHAOS

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It is said that f exhibits sensitive dependence on initial conditions (or f is sensitive) on I if there exists δ > 0 (called constant of sensitivity) such that for any x in I and for any ε > 0, there exist y in I with |y − x| < ε, and n ≥ 0 such that |f n (y) − f n (x)| > δ. The function f is said to be topologically transitive (or f is transitive) on I if for any pair of nonempty open sets A and B in I there exists n > 0 such that f n (A) ∩ B 6= ∅. Recall that, on perfect compact sets, transitivity is equivalent to the existence of a dense orbit. Let A ⊂ I be a perfect set, we say that f is chaotic on A if A is invariant under f , i.e. f (A) = A, P er (f |A ) is dense in A, and f |A is both transitive and sensitive on A. In such a case it is said that A is a chaotic set. 3. The sensitivity and a digraph Throughout this section we assume that f : I → I is sensitive on I with δ > 0 its constant of sensitivity. We associate a digraph G with the function f in this way: Let P = {t0 = 0, t1 , ..., tm = 1} be a partition of I with kP k < 4δ . The vertices of G will be the subintervals Ak = [tk−1 , tk ] , 1 ≤ k ≤ m. We put an arrow from Ai to Aj if there exists n ∈ N such that f n (Ai ) ⊃ Aj and the length of the interval f n (Ai ) is equal to or larger than δ, l (f n (Ai )) ≥ δ. Lemma 1. From each vertex Ai , 1 ≤ i ≤ m, there are at least three arrows to consecutive vertices Aj , Aj+1 and Aj+2 . Proof. Let i, 1 ≤ i ≤ m. Since f is sensitive, there exists ni ∈ N such that l (f ni (Ai )) > δ. Since for any j we have that l (Aj ) < 4δ (because of kP k < 4δ ), we can find Aj , Aj+1 and Aj+2 such that (Aj ∪Aj+1 ∪Aj+2) ⊂ f ni (Ai ) .  Lemma 2. If there exist an arrow from Ai to Aj and an arrow from Aj to Ak , then there exists an arrow from Ai to Ak . Proof. The arrows Ai → Aj and Aj → Ak give us two natural numbers ni and nj such that f ni (Ai ) ⊃ Aj and f nj (Aj ) ⊃ Ak with l (f ni (Ai )) ≥ δ and l (f nj (Aj )) ≥ δ. Then f ni +nj (Ai ) ⊃ f nj (Aj ) ⊃ Ak , and l (f ni +nj (Ai )) ≥ l (f nj (Aj )) ≥ δ.  The degree of the vertex Ai , dg (Ai ) , will be the number of arrows starting at Ai . If there exists an arrow from Ai to Aj we say Aj is attainable from Ai . Remark. It is immediate from lemma 2 that if Aj is attainable from Ai , then dg (Ai ) ≥ dg (Aj ) . All the vertices which are attainable from Aj are attainable from Ai as well.

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Take any i, 1 ≤ i ≤ m, and consider the vertex Ai . Among all attainable vertices from Ai choose Aj such that dg (Aj ) = min {dg (Ak ) |Ak is attainable from Ai } . Let us call g = dg (Aj ) and Aj1 , ..., Ajg all the attainable vertices from Aj .

Assume these vertices are in this order: If k < l, x ∈ Ajk and y ∈ Ajl , then x ≤ y. Notice that each pair of these vertices (subintervals) have at most one common point and if k < l − 1, then Ajk ∩ Ajl = ∅. Since any Ajk , 1 ≤ k ≤ g, is attainable from Ai , dg (Ajk ) ≥ g = dg (Aj ) . On the other hand, by lemma 2, dg (Ajk ) ≤ dg (Aj ) = g. Thus for any Ajk we have dg (Ajk ) = g. Furthermore, by the same lemma, the g vertices that are attainable from any Ajk must be Aj1 , ..., Ajg . Now, it is immediate that for any k, 1 ≤ k ≤ g, we have: n ∞ n ∪∞ n=1 f (Aj1 ) = ∪n=1 f (Ajk ) . n Let A be the closure of the previous union: A = cl (∪∞ n=1 f (Aj1 )) .

Lemma 3. The set A satisfies the following three conditions: i) The interior of A is not empty, int (A) 6= ∅. ii) For any x ∈ A and any ε > 0, there exists [c, d] ⊂ I, such that [c, d] ⊂ (x − ε, x + ε) and [c, d] ⊂ A. Note this condition implies that A is perfect. iii) f (A) = A. Proof. i) From these arrows Aj1 → Ajk , k = 1, 2, ..., g, it follows that  Aj1 ∪ Aj2 ∪ ... ∪ Ajg ⊂ A.

Therefore int (A) 6= ∅. ii) Because of the sensitivity, f satisfies this claim: If B is any subset of I with int (B) 6= ∅, then int (f (B)) 6= ∅. n Let x ∈ A and let ε > 0. There exists y ∈ ∪∞ n=1 f (Aj1 ) such that |x − y| < ε. Hence there exist z ∈ Aj1 and n1 ∈ N such that

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f n1 (z) = y. Since f n1 is a continuous map there exists γ > 0 such that [z − γ, z + γ] ∩ Aj1 is a closed subinterval with f n1 ([z − γ, z + γ] ∩ Aj1 ) ⊂ ((x − ε, x + ε) ∩ A) . Thus there exists [c, d] ⊂ ((x − ε, x + ε) ∩ A) . iii) Let us prove this part in two steps. First. If B is a subset of I invariant under f , then f (cl (B)) = cl (B) . Proof. Since B = f (B) ⊂ f (cl (B)) and f (cl (B)) is a closed set in I, then cl (B) ⊂ f (cl (B)) . Now, let y ∈ f (cl (B)) . There exist x ∈ cl (B) and a sequence {x1 , x2 , . . .} in B such that f (x) = y and limn→∞ xn = x. Since f is continuous and B = f (B) , we obtain limn→∞ f (xn ) = y and {f (xn )} ⊂ B. Thus y ∈ cl (B) . n ∞ n Second. Let us prove that f (∪∞ n=1 f (Aj1 )) = ∪n=1 f (Aj1 ) . It is immediate that n ∞ n ∞ n f (∪∞ n=1 f (Aj1 )) = ∪n=2 f (Aj1 ) ⊂ ∪n=1 f (Aj1 ) .

Furthermore, because of the arrow Aj1 → Aj1 it follows that n Aj1 ⊂ ∪∞ n=2 f (Aj1 ) .

Therefore n ∞ n ∞ n ∪∞ n=1 f (Aj1 ) ⊂ ∪n=2 f (Aj1 ) = f (∪n=1 f (Aj1 )) .

This completes the proof of lemma 3.  Theorem 4. f |A : A → A is chaotic on A. Proof. It is enough to show that the set P er (f |A ) is dense in A, and f |A is transitive on A. Step 1. Let us prove the density of P er (f |A ) . Let (a, b) ⊂ I such that (a, b) ∩ A 6= ∅. By part ii) of lemma 3, there exist two closed subintervals, [c, d] and [s, t] , and a natural number n1 such that [c, d] ⊂ Aj1 , [s, t] ⊂ ((a, b) ∩ A) , and f n1 ([c, d]) = [s, t] . Since f is sensitive there exist n2 ∈ N such that f n2 ([s, t]) contains an interval Ajk for some 1 ≤ k ≤ g. The arrow Ajk → Aj1 give us n3 ∈ N such that f n3 (Ajk ) ⊃ Aj1 . Hence [c, d] ⊂ f n ([c, d]) , where n = n1 + n2 + n3 . Thus f n has a fixed point in [c, d] , and therefore f has a periodic point in [c, d] . Since f n1 ([c, d]) = [s, t] ⊂ ((a, b) ∩ A) , f |A has a periodic point in (a, b) ∩ A. Step 2. Let us now prove that f |A is transitive in A.

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Let B and C be two open sets in I such that B∩A 6= ∅ and C ∩A 6= ∅. By lemma 3, there exist three closed subintervals, U, V and W, and a natural number m1 such that U ⊂ Aj1 , V ⊂ (B ∩ A) , W ⊂ (C ∩ A) and f m1 (U) = W. Due to the sensitivity and following the argument used in step 1, there exists m2 ∈ N such that Aj1 ⊂ f m2 (V ) . Thus, taking m = m1 + m2 we have that W ⊂ f m (V ) , and therefore f m (B ∩ A) ∩ (C ∩ A) 6= ∅.  It is easy to show that A is a finite union of closed intervals. Actually the next more general claim is true: Proposition 5. Take any map g : I → I, sensitive or not, and assume B is perfect and a chaotic set for g. Then either B is a Cantor set or B is a finite union of closed intervals. Proof. Recall that any nonempty compact perfect totally disconnected metric space is a Cantor set (see [Hoc]). The set B is already compact and perfect. And it is a metric space as well. If every component of B has empty interior, B is totally disconnected. Hence B is a Cantor set. Let C be a component of B with nonempty interior. Notice that C is a closed subinterval of I. Since g |B is chaotic, there exists a periodic point of g in C. Let us assume that the period of that point is m. Also there exists another point in C, say y, with a dense orbit in B under g |B . That is to say, B = cl (o (y, g)) . Now consider the following three conditions: i) Since g m (C) ∩ C 6= ∅, g m (C) ⊂ C. n m−1 ii) It follows that ∪∞ (C) , and n=0 g (C) ⊂ C ∪ g (C) ∪ · · · ∪ g m−1 iii) B = cl (o (y, g)) ⊂ (C ∪ g (C) ∪ · · · ∪ g (C)) ⊂ B. Thus B = C ∪ g (C) ∪ · · · ∪ g m−1 (C) .  Returning to f , let us now prove that the set of asymptotically periodic points and the set of aperiodic points are both dense in I. Proposition 6. Let Γ = {x ∈ I |ω(x, f ) has infinite cardinality} and Ψ = I \ Γ. Then the sets Γ and Ψ are both dense in I. Proof. Let x ∈ I and ε > 0. We take a partition P as above adding the next condition: kP k is small enough such that there exists Ai = [ti−1 , ti ] ⊂ (x − ε, x + ε) .

ON INTERVALS, SENSITIVITY IMPLIES CHAOS

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Due to these arrows: Ai → Aj and Aj → Aj1 , and to the definition of set A, n A = cl (∪∞ n=1 f (Aj1 )) , there exists a natural number m such that f m (Ai ) ∩ A has nonempty interior. Hence there exist a ∈ I, |x − a| < ε, and b ∈ I, |x − b| < ε, such that f m (a) ∈ P er (f n |A ) and the orbit of f m (b) ∈ A is dense in A (since f |A is transitive on A). This implies that the set ω (a, f ) has finite cardinality and the set ω (b, f ) has infinite cardinality.  4. Sensitivity and topological entropy There is a very important concept related to complex behavior generated by mappings: topological entropy (see [Wal] for definition and main properties). The entropy of a mapping can be zero, positive or infinite. The dynamics generated by functions of the interval with zero entropy, ent(f ) = 0, have been studied. It is known (see [Mis]) that if f |D : D → D is transitive on D, D ⊂ I, and ent(f ) = 0, then either D is a periodic orbit or D is a Cantor set where f |D is minimal (that is, every point of D has dense orbit in D). Thus, in such a second case there are no periodic points of f in D. Hence zero entropy implies no chaotic dynamics on any subset of I. Therefore, by theorem 4, we have the following result: If f is sensitive on I, then the topological entropy of f is positive or infinite. In this section we supply another proof of the fact that on intervals, sensitivity implies positive entropy (hereafter, positive means positive or infinite). We need the following two lemmas. The reader can find detailed proofs of them in [Blo] and [Wal]. Lemma 7. Let n ∈ N. Then ent (f n ) = n · ent (f ) . Lemma 8. If there exist two disjoint closed subintervals of I, E and F, such that E ∪ F ⊂ f (E) ∩ f (F ) , then ent (f ) ≥ log (2) . From now on, in this section, let us assume f : I → I is sensitive and δ is its constant of sensitivity. Also, let us have available the results and notation that we produced in the previous section. Lemma 9. Let V and W be two subsets of I. If there exist two natural numbers p and q such that V ∪ W ⊂ f p (V ) and V ∪ W ⊂ f q (W ) , then there exists a natural number n such that V ∪ W ⊂ f n (V ) ∩ f n (W ) . Proof. Consider the following inclusions:

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(V ∪ W ) ⊂ f p (V ) ⊂ f p (V ∪ W ) ⊂ f p (f q (W )) = f p+q (W ) , (V ∪ W ) ⊂ f q (W ) ⊂ f q (V ∪ W ) ⊂ f q (f p (V )) = f q+p (V ) . Taking n = p + q the proof is complete.  Proposition 10. The topological entropy of f is positive. Proof. Let us consider the subintervals Aj1 and Aj3 . We know that the digraph G has the following arrows: Aj1 → Aj1 and Aj3 → Aj1 . Hence there exist p, q ∈ N such that Aj1 ⊂ f p (Aj1 ) and Aj1 ⊂ f q (Aj3 ) . By lemma 1, Aj3 ⊂ f p (Aj1 ) and Aj3 ⊂ f q (Aj3 ) as well. Thus Aj1 ∪ Aj3 ⊂ f p (Aj1 ) and Aj1 ∪ Aj3 ⊂ f q (Aj3 ) . Due to the previous lemma, there exists n ∈ N such that Aj1 ∪ Aj3 ⊂ f n (Aj1 ) ∩ f n (Aj3 ) . Since Aj1 ∩ Aj3 = ∅, ent (f n ) ≥ log (2) . Therefore ent (f ) > 0.  5. Some remarks about sensitivity Let us finish this note with two remarks on sensitivity. 1.- Consider the next family of continuous functions defined on I = [0, 1] . We say f : I → I is of type L if the following two conditions hold: i) There exists a partition of I, x0 = 0 < x1 < . . . < xp = 1, such that the graph of f is a polygonal curve with vertices on (0, f (0)) , (x1 , f (x1 )) , ... , and (1, f (1)) . That is, f is a piecewise monotone linear function, and ii) The slope of any straight line segment of that polygonal curve has absolute value larger than one. The family L is studied in [Men]. For the sake of completness in the sequel we prove that if f is of type L, then f is sensitive on I. Notice that if f and g are of type L, then f ◦ g is of type L as well. Thus for any n ∈ N, f n is of type L provided that f ∈ L. Let f ∈ L. Let m1 , ..., mp be the slopes of the straight line segments in the graph of f . We denote by εf the min {|mi | : 1 ≤ i ≤ p} . Notice that εf > 1. Lemma 11. Let f ∈ L. Then εf 2 ≥ (εf )2 . Furthermore, for any n ≥ 2, εf n ≥ (εf )n .

ON INTERVALS, SENSITIVITY IMPLIES CHAOS

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Proof. Let x ∈ I be such that x 6= xi and f (x) 6= xi for any i, 1 ≤ i ≤ p. By the Chain Rule we have that  2 ′ 2 f (x) = |f ′ (f (x))| |f ′ (x)| ≥ (εf ) ,

hence εf 2 ≥ (εf )2 . By the same argument and induction it is immediate that εf n ≥ (εf )n for any n ∈ N. 

Lemma 12. Let f ∈ L with εf > 2. Let δf be the minimum of the following distances: xi − xi−1 , 1 ≤ i ≤ p. Then for any subinterval J ⊂ I, there exists k ≥ 0 such that the length of f k (J) is larger than δf , l f k (J) > δf .

Proof. Assume, on  the contrary, that there exists J, subinterval of I, such that l f k (J) ≤ δf for any k. Thus for any k the interval f k (J) has, in its interior, at most one point xi . The length of the intervals f k (J) satisfy the following inequalities:   εf 2 εf 2 l (f (J)) ≥ l (J) , l f (J) ≥ l (J) , ... 2 2   εf k ..., l f k (J) ≥ l (J) . 2  ε ε k Since 2f > 1, we have 2f → ∞ as k → ∞. Thus l f k (J) → ∞. But, this is impossible.  Proposition 13. If f ∈ L, then f is sensitive on I. Proof. By lemma 11, there exists n such that εf n > 2. Hence for any interval J ⊂ I there exists k ∈ N such that the length of (f n )k (J) is larger than δf n = min {xi − xi−1 , 1 ≤ i ≤ p} > 0, where x0 , x1 , ..., xp is the partition induced by f n on I. Thus there exists x and y in J such δ n that f nk (x) − f nk (y) > δf n . Taking δ = f2 we see that f is sensitive on I with δ as its constant of sensitivity.  In simple words our claim can be stated in this way: Take a pencil, draw a polygonal curve without leaving the square [0, 1] × [0, 1] ⊂ R2 , moving from left to right, starting at the point (0, a) and ending at the point (1, b), such that in any straight line segment the slope is larger than one in absolute value. At the end you will obtain the graph of a function sensitive on I, chaotic on a nonempty interior subset of I and with positive entropy. 2.- The next example shows that sensitive dependence to initial conditions does not imply chaotic dynamics if our dynamical system is

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defined on the torus. Let S 1 be the circle, S 1 = R/Z, and let M be the torus, M = S 1 × S 1 . Let us consider f : M → M defined by f (x, y) = (x + y mod (1) , y) . Notice that two very close points with same first coordinate but different second one, (x0 , y0) and (x0 , y1 ) , eventually will separate under the iterates of f. Thus f is sensitive on M.   1 1 Since the eigenvalues of the matrix associated with f, , are 0 1 λ1,2 = 1, the entropy of f is zero (see [Wal]). Also, there is not subset in M where f could be chaotic. The reason is that any invariant closed set A where f is transitive is a periodic orbit or is a circle, and in such a case, f |A : A → A is an irrational rotation. Hence, in either case, f |A is not chaotic. ´ Acknowledgments. Professors Paz Alvarez, Jefferson King and Javier Pulido and student Kimberly Roberts read a previous version of this note. The author would like to thank them very much. They gave him many precious suggestions. References [Ban] J. Banks, J. Brooks, G. Cairns, G. Davis and P. Stacey, On Devaney’s Definition of Chaos, Amer. Math. Monthly, 1992, 332-334. [Blo] L. S. Block and W. A. Coppel, Dynamics in One Dimension, Lecture Notes in Math. 1523, Springer Verlag, 1991. [Dev] R. L. Devaney, An Introduction to Chaotic Dynamical Systems, Addison Wesley, 1989. [Hoc] J. G. Hocking and G. S. Young, Topology, Dover Publications, Inc., New York, 1988. [Men] H. M´endez-Lango, Las Quebraditas (propiedades din´ amicas de una peculiar familia de funciones en el intervalo), Miscel´anea Matem´atica, 35, 2002, 5971. [Mis] M. Misiurewicz, Invariant Measures for Continuous Transformations of [0, 1] with Zero Topological Entropy, Lecture Notes in Math. 729, 1980, 144-152. [Nit] Z. Nitecki, Topological Dynamics on the Interval, Ergodic Theory and Dynamical Systems II, Proc. Special Year, Maryland 1979-1980 (A. Katok ed.) Birkh¨auser, Basel, 1982, 1-73. [Vel] M. Vellekook and R. Berglund, On Intervals, Transitivity=Chaos, Amer. Math. Monthly, vol. 101, 1994, 353-355. [Wal] P. Walters, An Introduction to Ergodic Theory, Graduate Texts in Math., 79, Springer Verlag, 1982. ´ticas, Facultad de Ciencias, UNAM, CiuDepartamento de Matema dad Universitaria, C.P. 04510, D. F. MEXICO. E-mail address: [email protected]

ON INTERVALS, SENSITIVITY IMPLIES CHAOS 1 ...

The degree of the vertex Ai, dg (Ai), will be the number of arrows starting at Ai. If there .... It is known (see [Mis]) that if f |D : D → D is transitive .... [Wal] P. Walters, An Introduction to Ergodic Theory, Graduate Texts in Math.,. 79, Springer Verlag ...

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