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    Chaotic dynamics

    For a dynamical system to be classified as chaotic, most scientists will agree that it must have the following properties:

    * it must be sensitive to initial conditions,
    * it must be topologically mixing, and
    * its periodic orbits must be dense.

    Sensitivity to initial conditions means that each point in such a system is arbitrarily closely approximated by other points with significantly different future trajectories. Thus, an arbitrarily small perturbation of the current trajectory may lead to significantly different future behaviour.

    Sensitivity to initial conditions is popularly known as the "butterfly effect", so called because of the title of a paper given by Edward Lorenz in 1972 to the American Association for the Advancement of Science in Washington, D.C. entitled Predictability: Does the Flap of a Butterfly’s Wings in Brazil set off a Tornado in Texas? The flapping wing represents a small change in the initial condition of the system, which causes a chain of events leading to large-scale phenomena. Had the butterfly not flapped its wings, the trajectory of the system might have been vastly different.

    Sensitivity to initial conditions is often confused with chaos in popular accounts. It can also be a subtle property, since it depends on a choice of metric, or the notion of distance in the phase space of the system. For example, consider the simple dynamical system produced by repeatedly doubling an initial value (defined by the mapping on the real line from x to 2x). This system has sensitive dependence on initial conditions everywhere, since any pair of nearby points will eventually become widely separated. However, it has extremely simple behaviour, as all points except 0 tend to infinity. If instead we use the bounded metric on the line obtained by adding the point at infinity and viewing the result as a circle, the system no longer is sensitive to initial conditions. For this reason, in defining chaos, attention is normally restricted to systems with bounded metrics, or closed, bounded invariant subsets of unbounded systems.

    Even for bounded systems, sensitivity to initial conditions is not identical with chaos. For example, consider the two-dimensional torus described by a pair of angles (x,y), each ranging between zero and 2π. Define a mapping that takes any point (x,y) to (2x, y + a), where a is any number such that a/2π is irrational. Because of the doubling in the first coordinate, the mapping exhibits sensitive dependence on initial conditions. However, because of the irrational rotation in the second coordinate, there are no periodic orbits, and hence the mapping is not chaotic according to the definition above.

    Topologically mixing means that the system will evolve over time so that any given region or open set of its phase space will eventually overlap with any other given region. Here, "mixing" is really meant to correspond to the standard intuition: the mixing of colored dyes or fluids is an example of a chaotic system.
    ‎"See, you think I give a tulip. Wrong. In fact, while you talk, I'm thinking; How can I give less of a tulip? That's why I look interested."

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      Attractors

      Some dynamical systems are chaotic everywhere (see e.g. Anosov diffeomorphisms) but in many cases chaotic behaviour is found only in a subset of phase space. The cases of most interest arise when the chaotic behaviour takes place on an attractor, since then a large set of initial conditions will lead to orbits that converge to this chaotic region.

      An easy way to visualize a chaotic attractor is to start with a point in the basin of attraction of the attractor, and then simply plot its subsequent orbit. Because of the topological transitivity condition, this is likely to produce a picture of the entire final attractor.
      Phase diagram for a damped driven pendulum, with double period motion
      Phase diagram for a damped driven pendulum, with double period motion

      For instance, in a system describing a pendulum, the phase space might be two-dimensional, consisting of information about position and velocity. One might plot the position of a pendulum against its velocity. A pendulum at rest will be plotted as a point, and one in periodic motion will be plotted as a simple closed curve. When such a plot forms a closed curve, the curve is called an orbit. Our pendulum has an infinite number of such orbits, forming a pencil of nested ellipses about the origin.

      [edit] Strange attractors

      While most of the motion types mentioned above give rise to very simple attractors, such as points and circle-like curves called limit cycles, chaotic motion gives rise to what are known as strange attractors, attractors that can have great detail and complexity. For instance, a simple three-dimensional model of the Lorenz weather system gives rise to the famous Lorenz attractor. The Lorenz attractor is perhaps one of the best-known chaotic system diagrams, probably because not only was it one of the first, but it is one of the most complex and as such gives rise to a very interesting pattern which looks like the wings of a butterfly. Another such attractor is the Rössler Map, which experiences period-two doubling route to chaos, like the logistic map.

      Strange attractors occur in both continuous dynamical systems (such as the Lorenz system) and in some discrete systems (such as the Hénon map). Other discrete dynamical systems have a repelling structure called a Julia set which forms at the boundary between basins of attraction of fixed points - Julia sets can be thought of as strange repellers. Both strange attractors and Julia sets typically have a fractal structure.

      The Poincaré-Bendixson theorem shows that a strange attractor can only arise in a continuous dynamical system if it has three or more dimensions. However, no such restriction applies to discrete systems, which can exhibit strange attractors in two or even one dimensional systems.

      The initial conditions of three or more bodies interacting through gravitational attraction (see the n-body problem) can be arranged to produce chaotic motion.
      ‎"See, you think I give a tulip. Wrong. In fact, while you talk, I'm thinking; How can I give less of a tulip? That's why I look interested."

      Comment


        Realising that he had no hope of holding Jerusalem even if he took it, Richard ordered a retreat. There then commenced a period of minor skirmishes with Saladin's forces while Richard and Saladin negotiated a settlement to the conflict, as both realized that their respective positions were growing untenable. Richard knew that both Philip and his own brother John were starting to plot against him. However, Saladin insisted on the razing of Ascalon's fortifications, which Richard's men had rebuilt, and a few other points. Richard made one last attempt to strengthen his bargaining position by attempting to invade Egypt — Saladin's chief supply-base — but failed. In the end, time ran out for Richard. He realised that his return could be postponed no longer, since both Philip and John were taking advantage of his absence. He and Saladin finally came to a settlement on 2 September 1192 — this included the provisions demanding the destruction of Ascalon's wall as well as an agreement allowing Christian access to and presence in Jerusalem. It also included a three-year truce.
        SA says;
        Well you looked so stylish I thought you batted for the other camp - thats like the ultimate compliment!

        I couldn't imagine you ever having a hair out of place!

        n5gooner is awarded +5 Xeno Geek Points.
        (whatever these are)

        Comment


          History

          The first discoverer of chaos can plausibly be argued to be Jacques Hadamard, who in 1898 published an influential study of the chaotic motion of a free particle gliding frictionlessly on a surface of constant negative curvature. In the system studied, Hadamard's billiards, Hadamard was able to show that all trajectories are unstable, in that all particle trajectories diverge exponentially from one another, with a positive Lyapunov exponent.

          In the early 1900s Henri Poincaré, while studying the three-body problem, found that there can be orbits which are nonperiodic, and yet not forever increasing nor approaching a fixed point. Much of the early theory was developed almost entirely by mathematicians, under the name of ergodic theory. Later studies, also on the topic of nonlinear differential equations, were carried out by G.D. Birkhoff, A.N. Kolmogorov, M.L. Cartwright, J.E. Littlewood, and Stephen Smale. Except for Smale, these studies were all directly inspired by physics: the three-body problem in the case of Birkhoff, turbulence and astronomical problems in the case of Kolmogorov, and radio engineering in the case of Cartwright and Littlewood. Although chaotic planetary motion had not been observed, experimentalists had encountered turbulence in fluid motion and nonperiodic oscillation in radio circuits without the benefit of a theory to explain what they were seeing.

          Chaos theory progressed more rapidly after mid-century, when it first became evident for some scientists that linear theory, the prevailing system theory at that time, simply could not explain the observed behaviour of certain experiments like that of the logistic map. The main catalyst for the development of chaos theory was the electronic computer. Much of the mathematics of chaos theory involves the repeated iteration of simple mathematical formulas, which would be impractical to do by hand. Electronic computers made these repeated calculations practical. One of the earliest electronic digital computers, ENIAC, was used to run simple weather forecasting models.

          An early pioneer of the theory was Edward Lorenz whose interest in chaos came about accidentally through his work on weather prediction in 1961. Lorenz was using a basic computer, a Royal McBee LGP-30, to run his weather simulation. He wanted to see a sequence of data again and to save time he started the simulation in the middle of its course. He was able to do this by entering a printout of the data corresponding to conditions in the middle of his simulation which he had calculated last time.

          To his surprise the weather that the machine began to predict was completely different from the weather calculated before. Lorenz tracked this down to the computer printout. The printout rounded variables off to a 3-digit number, but the computer worked with 6-digit numbers. This difference is tiny and the consensus at the time would have been that it should have had practically no effect. However Lorenz had discovered that small changes in initial conditions produced large changes in the long-term outcome.

          Yoshisuke Ueda independently identified a chaotic phenomenon as such by using an analog computer on November 27, 1961. The chaos exhibited by an analog computer is truly a natural phenomenon, in contrast with those discovered by a digital computer. Ueda's supervising professor, Hayashi, did not believe in chaos throughout his life, and thus he prohibited Ueda from publishing his findings until 1970.

          The term chaos as used in mathematics was coined by the applied mathematician James A. Yorke.

          The availability of cheaper, more powerful computers broadens the applicability of chaos theory. Currently, chaos theory continues to be a very active area of research
          ‎"See, you think I give a tulip. Wrong. In fact, while you talk, I'm thinking; How can I give less of a tulip? That's why I look interested."

          Comment


            no tulip moscow! well done.

            Comment


              Mathematical theory

              Sarkovskii's theorem is the basis of the Li and Yorke (1975) proof that any one-dimensional system which exhibits a regular cycle of period three will also display regular cycles of every other length as well as completely chaotic orbits.

              Mathematicians have devised many additional ways to make quantitative statements about chaotic systems. These include: fractal dimension of the attractor, Lyapunov exponents, recurrence plots, Poincaré maps, bifurcation diagrams, Transfer operator

              [edit] Minimum complexity of a chaotic system
              Bifurcation diagram of a logistic map, displaying chaotic behaviour past a threshold
              Bifurcation diagram of a logistic map, displaying chaotic behaviour past a threshold

              Simple systems can also produce chaos without relying on differential equations. An example is the logistic map, which is a difference equation (recurrence relation) that describes population growth over time.

              Even the evolution of simple discrete systems, such as cellular automata, can heavily depend on initial conditions. Stephen Wolfram has investigated a cellular automaton with this property, termed by him rule 30.

              A minimal model for conservative (reversible) chaotic behavior is provided by Arnold's cat map.
              ‎"See, you think I give a tulip. Wrong. In fact, while you talk, I'm thinking; How can I give less of a tulip? That's why I look interested."

              Comment


                Cunnilingus
                From Wikipedia, the free encyclopedia
                Jump to: navigation, search
                Watercolour painting depicting cunnilingus by Achille Devéria
                Watercolour painting depicting cunnilingus by Achille Devéria

                Cunnilingus is the act of performing oral sex, using the mouth and tongue to stimulate the female genitals. The clitoris is particularly noted for stimulation as it is often the most sensitive part of the female genitalia. The term comes from an alternative Latin word for the vulva (cunnus) and from the Latin word for tongue (lingua). Some women achieve orgasm easily from clitoral stimulation as part of cunnilingus.
                ‎"See, you think I give a tulip. Wrong. In fact, while you talk, I'm thinking; How can I give less of a tulip? That's why I look interested."

                Comment


                  Bad weather forced Richard's ship to put in at Corfu, in the lands of the Byzantine Emperor Isaac II Angelos, who objected to Richard's annexation of Cyprus, formerly Byzantine territory. Disguised as a Knight Templar, Richard sailed from Corfu with four attendants, but his ship was wrecked near Aquileia, forcing Richard and his party into a dangerous land route through central Europe. On his way to the territory of Henry of Saxony, his brother-in-law, Richard was captured shortly before Christmas 1192, near Vienna, by Leopold V of Austria, who accused Richard of arranging the murder of his cousin Conrad of Montferrat. Richard and his retainers had been travelling in disguise as low-ranking pilgrims, but he was identified either because he was wearing an expensive ring, or because of his insistence on eating roast chicken, an aristocratic delicacy. The Duke handed him over as a prisoner to Henry VI, Holy Roman Emperor after being held captive at Dürnstein. It was here that he wrote Ja nus hons pris or Ja nuls om pres, a song in French and Occitan versions, expressing his feelings of abandonment by his people. However, the conditions of his captivity were not severe. Richard declared to the emperor, "I am born of a rank which recognizes no superior but God".
                  SA says;
                  Well you looked so stylish I thought you batted for the other camp - thats like the ultimate compliment!

                  I couldn't imagine you ever having a hair out of place!

                  n5gooner is awarded +5 Xeno Geek Points.
                  (whatever these are)

                  Comment


                    قتل 6 مسلحين من جماعة فتح الإسلام في اشتباكات دارت اليوم الخميس 28-6-2007 مع الجيش اللبناني في بلدة القلمون بشمال البلاد. وذكرت مصادر أمنية أن اثنين على الاقل من المسلحين لبنانيان ويعتقد أن 3 منهم سعوديون, ولم تعرف جنسية المسلح السادس, فيما أصيب جنديان بجروح طفيفة.وافاد متحدث عسكري لوكالة فرانس برس ان الجيش تلقى معلومات عن وجود... تـتـمـة
                    Science isn't about why, it's about why not. You ask: why is so much of our science dangerous? I say: why not marry safe science if you love it so much. In fact, why not invent a special safety door that won't hit you in the butt on the way out, because you are fired. - Cave Johnson

                    Comment


                      what about er.. kiwi fruit.

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