Francais | English | Espanõl

Butterfly effect

From Wikipedia, the free encyclopedia

Jump to: navigation, search

The butterfly effect is a phrase that encapsulates the more technical notion of sensitive dependence on initial conditions in chaos theory. Small variations of the initial condition of a dynamical system may produce large variations in the long term behavior of the system. This is sometimes presented as esoteric behavior, but can be exhibited by very simple systems: for example, a ball placed at the crest of a hill might roll into any of several valleys depending on slight differences in initial position.

The phrase refers to the idea that a butterfly's wings might create tiny changes in the atmosphere that ultimately cause a tornado to appear (or, for that matter, prevent a tornado from appearing). 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.

Recurrence, the approximate return of a system towards its initial conditions, together with the sensitive dependence on initial conditions are the two main ingredients for chaotic motion. They have the practical consequence of making complex systems, such as the weather, difficult to predict past a certain time range (approximately a week in the case of weather).

Contents

[edit] History

Sensitive dependence on initial conditions was first described in the literature by Jacques Hadamard in 1890<ref>http://www.wolframscience.com/reference/notes/971c</ref> and popularized by Pierre Duhem's 1906 book. The idea that one butterfly could have a far-reaching ripple effect on subsequent events seems first to have appeared in a 1952 short story by Ray Bradbury about time travel (see Popular Media below), although the term "butterfly effect" itself is related to the work of Edward Lorenz, who in a 1963 paper for the New York Academy of Sciences noted that "One meteorologist remarked that if the theory were correct, one flap of a seagull's wings could change the course of weather forever." Later speeches and papers by Lorenz used the more poetic butterfly. According to Lorenz, upon failing to provide a title for a talk he was to present at the 139th meeting of the American Association for the Advancement of Science in 1972, Philip Merilees concocted Does the flap of a butterfly’s wings in Brazil set off a tornado in Texas? as a title.

[edit] Illustration

The butterfly effect in the Lorenz attractor
time 0 ≤ t ≤ 30 (larger) z coordinate (larger)
Image:TwoLorenzOrbitsSmall.jpg Image:LorenzCoordinatesSmall.jpg
These figures show two segments of the three-dimensional evolution of two trajectories (one in blue, the other in yellow) for the same period of time in the Lorenz attractor starting at two initial points that differ only by 10-5 in the x-coordinate. Initially, the two trajectories seem coincident, as indicated by the small difference between the z coordinate of the blue and yellow trajectories, but for t > 23 the difference is as large as the value of the trajectory. The final position of the cones indicates that the two trajectories are no longer coincident at t=30.
A Java animation of the Lorenz attractor shows the continuous evolution.


[edit] Mathematical definition

A dynamical system with evolution map <math>f^t</math> displays sensitive dependence on initial conditions if points arbitrarily close become separate with increasing t. If M is the state space for the map <math>f^t</math>, then <math>f^t</math> displays sensitive dependence to initial conditions if there is a δ>0 such that for every point x∈M and any Neighborhood N containing x there exist a point y from that neighborhood N and a time τ such that the distance

<math>d(f^\tau(x), f^\tau(y)) > \delta \,.</math>

The definition does not require that all points from a neighborhood separate from the base point x.

[edit] Popular media

The concept of the butterfly effect is sometimes used in popular media dealing with the idea of time travel, usually inaccurately. Most time travel depictions simply fail to address butterfly effects. According to the actual theory, the mere presence of the time travelers in the past would be enough to change short-term events (such as the weather) and would also have an unpredictable impact on the distant future, so that no one who travels into the past could ever return to the same version of reality he/she had come from.

In arguably the earliest illustration of the butterfly effect in a story on film, an angel in It's a Wonderful Life (1946) shows George Bailey how rewriting history so that George was never born would detrimentally affect the lives of everyone in his hometown. In a subtle butterfly effect, snow is falling in one version of reality but not the other.[1][2]

In the 1952 short story by Ray Bradbury, "A Sound of Thunder", the killing of a butterfly during the time of dinosaurs causes the future to change in subtle but meaningful ways: e.g., the spelling of English and the outcome of a political election.[3] In the Simpsons Halloween episode, Time and Punishment, Homer repeatedly travels back to the time of dinosaurs with a time machine (à la Bradbury's story). Each time there, Homer's actions (involving intentional and unintentional violence, including a butterfly reference) drastically change the future (i.e. Homer's present; for example, Homer squishing a butterfly results in Ned Flanders ruling the world, and Homer wiping out the dinosaurs with a sneeze results in his extraordinary wealth, well-behaved kids, his sisters-in-law dead, and donuts to rain from the sky).[4]

In many cases, minor and seemingly inconsequential actions in the past are extrapolated over time and can have radical effects on the present time of the main characters. In the movie The Butterfly Effect, Evan Treborn (Ashton Kutcher), when reading from his adolescent journals, is able to essentially "redo" parts of his past. As he continues to do this, he realizes that even though his intentions are good, the actions he takes always have unintended consequences. Despite its title, however, this movie does not seriously explore the implications of the butterfly effect; only the lives of the principal characters seem to change from one scenario to another. The greater world around them is mostly unaffected. [5]

The butterfly effect was also invoked by fictional mathematician Ian Malcolm in both the novel and film versions of Jurassic Park. He used it to explain the inherent instability of (among other things) an amusement park with dinosaurs as the attraction. [citation needed]

In a 2004 television episode of comedy sitcom Scrubs called "My Butterfly", the episode is shown in two parts: The first in which a butterfly lands on a person sitting in the hospital's waiting room, and the second where time is rewound and the butterfly instead lands on the man next to her. Both halves of the episode show the noticeably (albeit sensationally) different outcomes that stem directly from the original choice of landing locations of this butterfly.[6]

[edit] Criticism

The application of the butterfly effect to large scale systems has received criticism from physicists, such as Colorado State University professor Richard Eykholt. In his explanation of the effect, he notes that exponential growth of small perturbations can occur; however, such exponential growth continues only so long as the disturbance remains very small compared to the size of the attractor, at which point it folds back and is lost to the cumulative effect. He notes that most people miss the critical latter part of the effect and think that the small perturbation continues to grow until it is huge and has some large effect. He concludes that while the exponential growth of small perturbations prevents us from making very detailed predictions at very small scales, it does not have a significant effect at larger scales. <ref>Roger, Pielke (October 12th). More on the Butterfly Effect. Climate Science.</ref>

[edit] See also

[edit] External links

[edit] References

  • Robert L. Devaney (2003). Introduction to Chaotic Dynamical Systems. Westview Press. ISBN 0-8133-4085-3.
  • Robert C. Hilborn (2004). "Sea gulls, butterflies, and grasshoppers: A brief history of the butterfly effect in nonlinear dynamics". American Journal of Physics 72: 425–427.ar:تأثير الفراشة

be:Эфэкт матылька ca:Efecte papallona de:Schmetterlingseffekt el:Φαινόμενο της πεταλούδας es:Efecto mariposa fa:اثر پروانه‌ای fr:Effet papillon gl:Efecto bolboreta ko:나비 효과 it:Effetto farfalla he:אפקט הפרפר hu:Pillangóhatás (elmélet) nl:Vlindereffect ja:バタフライ効果 no:Sommerfugleffekt pl:Efekt motyla pt:Efeito borboleta ru:Эффект бабочки sv:Fjärilseffekten tr:Kelebek etkisi zh:蝴蝶效应

Personal tools