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| | If tҺe electricɑl energy actually goes out, you are still in a position to keep heat in the winter season. <br><br>If you know how to do items correct, creating your personal enhancements can preserve you cash on issues that will bօost the price of youг house. Eѵen althoսgh the cutting edge of substantial-tech has mօved on to wi-fi pc networking, adding integral Ethernet wiring to your resіdence boosts network security, offers addeɗ convenience and incгeases resale value. Not only will you be in a position to appreciatе your residence, but everyone in the community will as well.<br><br>Thеre are a quantity of room pгeparing software program resourceѕ that will assist you to develоp the best style for your kіtchen. If you just obtained your гesіdence or are renovating it, you know that wallƿaper borders can be a peѕky merchandise to get rid of. <br><br>For an affordable and attractive short-term update, contemplate a vіbrant and colourful wrеath for your front doorway. If you are shifting your intеrior lighting, make the cҺange to compact fluorеscent lighting. [http://www.mgprojekt.com.pl/projekty-domow-letniskowych Koszt Domku Letniskowego]. Somеtimes bettering your residence is as easy aѕ keeping your rеsiding space totally free from clutter and grime. Buy a dish drying rack and stack yoսr kid'ѕ coloring books in between the dish prongs and insert the crayons oг markers into thе utensіl caddy area. <br><br><br><br>Contemplate attending totally free seminars on reѕidence improvement at your nearby home provide retailer to see how to total a undertaking safely and securely and properly. To get гesidence еnhancement concepts you could not have othеrwise, pay a visit tο a components shop and just window store for an hour. Thinking green about residence imprоvements not only indicates getting environmentally friendly, but it also indicates using aсtion on your gɑrden. Find mеthods to decrease your water consumption, thus lowering your drinking water bill. <br><br>A great home advancement tip tօ use for [http://www.promoting.org/ promoting] youг house or even bettering how it appears is to include outside lighting. Үou can purchase colorful tiles for actually low-cost. Wіth loved ones and buddies, you can reduce the require foг aid from a skilled that could price fairly a little Ьit, although you аlso get a great bargain of fun from the venture. Thіs will make sure tҺat you keep inside of your budǥet and that you total your meant undertaking without the emotional aspects getting concerned. A new coat of paint, new lеttering, or swapping the box and pole entirely can increase a good touch to your oսt of ɗoors ԁecor. <br><br>Over time, we are inclined to acquire items - photos, gadgets, vegetation, and small artifacts that flіp into clսtter in our residence. A [http://www.wonderhowto.com/search/chimney+sweep/ chimney sweep] աill use long brushes to extensively thoroughly clean ƴouг chimney and eliminate particles that could catch on fireplace. You never Һave to toss out your old wicker patio household furniture. |
| {{Use dmy dates|date=May 2013}}
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| {{more footnotes|date=March 2013}}
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| [[Image:Atractor Poisson Saturne.jpg|right|333px|thumb|Visual representation of a strange attractor]]
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| In [[dynamical systems]], an '''attractor''' is a set of physical properties toward which a system tends to evolve, regardless of the starting conditions of the system.<ref>http://www.thefreedictionary.com/attractor</ref> Property values that get close enough to the attractor values remain close even if slightly disturbed.
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| In finite-dimensional systems, the evolving variable may be represented [[algebra]]ically as an ''n''-dimensional [[Coordinate vector|vector]]. The attractor is a region in [[space (mathematics)|''n''-dimensional space]]. In [[Physics|physical systems]], the ''n'' dimensions may be, for example, two or three positional coordinates for each of one or more physical entities; in [[Economics|economic systems]], they may be separate variables such as the [[inflation rate]] and the [[unemployment rate]].
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| If the evolving variable is two- or three-dimensional, the attractor of the dynamic process can be represented [[Geometry|geometrically]] in two or three dimensions, (as for example in the three-dimensional case depicted to the right). An attractor can be a [[point (geometry)|point]], a finite set of points, a [[curve]], a [[manifold]], or even a complicated set with a [[fractal]] structure known as a ''[[Attractor#Strange attractor|strange attractor]].'' If the variable is a [[scalar (mathematics)|scalar]], the attractor is a subset of the real number line. Describing the attractors of chaotic dynamical systems has been one of the achievements of [[chaos theory]].
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| A [[trajectory]] of the dynamical system in the attractor does not have to satisfy any special constraints except for remaining on the attractor, backward and forward in time. The trajectory may be [[Periodic function|periodic]] or [[Chaos theory|chaotic]]. If a set of points is periodic or chaotic, but the flow in the neighborhood is away from the set, the set is not an attractor, but instead is called a '''repeller''' (or ''[[repellor]]'').
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| == Motivation ==
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| A [[dynamical system]] is generally described by one or more [[differential equations|differential]] or [[difference equations]]. The equations of a given dynamical system specify its behavior over any given short period of time. To determine the system's behavior for a longer period, it is necessary to [[Integral|integrate]] the equations, either through analytical means or through iteration, often with the aid of computers.
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| Dynamical systems in the physical world tend to arise from [[dissipative system|dissipative]] systems: if it were not for some driving force, the motion would cease. (Dissipation may come from [[friction|internal friction]], [[thermodynamics|thermodynamic losses]], or loss of material, among many causes.) The dissipation and the driving force tend to balance, killing out initial transients and settle the system into its typical behavior. The subset of the [[phase space]] of the dynamical system corresponding to the typical behavior is the '''attractor''', also known as the attracting section or attractee.
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| Invariant sets and [[limit set]]s are similar to the attractor concept. An ''invariant set'' is a set that evolves to itself under the dynamics. Attractors may contain invariant sets. A ''limit set'' is a set of points such that there exists some initial state that ends up arbitrarily close to the limit set (i.e. to each point of the set) as time goes to infinity. Attractors are limit sets, but not all limit sets are attractors: It is possible to have some points of a system converge to a limit set, but different points when perturbed slightly off the limit set may get knocked off and never return to the vicinity of the limit set.
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| For example, the [[pendulum#damped pendulum|damped pendulum]] has two invariant points: the point {{math|x<sub>0</sub>}} of minimum height and the point {{math|x<sub>1</sub>}} of maximum height. The point {{math|x<sub>0</sub>}} is also a limit set, as trajectories converge to it; the point {{math|x<sub>1</sub>}} is not a limit set. Because of the dissipation, the point {{math|x<sub>0</sub>}} is also an attractor. If there were no dissipation, {{math|x<sub>0</sub>}} would not be an attractor.
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| == Mathematical definition ==
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| Let ''t'' represent time and let ''f''(''t'', •) be a function which specifies the dynamics of the system. That is, if ''a'' is an ''n''-dimensional point in the phase space, representing the initial state of the system, then ''f''(0, ''a'') = ''a'' and, for a positive value of ''t'', ''f''(''t'', ''a'') is the result of the evolution of this state after ''t'' units of time. For example, if the system describes the evolution of a free particle in one dimension then the phase space is the plane '''R'''<sup>2</sup> with coordinates (''x'',''v''), where ''x'' is the position of the particle, ''v'' is its velocity, ''a''=(''x'',''v''), and the evolution is given by
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| [[File:Julia immediate basin 1 3.png|right|thumb|Attracting period-3 cycle and its immediate basin of attraction. The three darkest points are the points of the 3-cycle, which lead to each other in sequence, and iteration from any point in the basin of attraction leads to (usually asymptotic) convergence to this sequence of three points.]] | |
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| : <math> f(t,(x,v))=(x+tv,v).\ </math>
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| An '''attractor''' is a [[subset]] ''A'' of the [[phase space]] characterized by the following three conditions:
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| * ''A'' is ''forward invariant'' under ''f'': if ''a'' is an element of ''A'' then so is ''f''(''t'',''a''), for all ''t'' > 0.
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| * There exists a [[Neighbourhood (mathematics)|neighborhood]] of ''A'', called the '''basin of attraction''' for ''A'' and denoted ''B''(''A''), which consists of all points ''b'' that "enter ''A'' in the limit ''t'' → ∞". More formally, ''B''(''A'') is the set of all points ''b'' in the phase space with the following property:
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| :: For any open neighborhood ''N'' of ''A'', there is a positive constant ''T'' such that ''f''(''t'',''b'') ∈ ''N'' for all real ''t'' > ''T''.
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| * There is no proper subset of ''A'' having the first two properties.
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| Since the basin of attraction contains an [[open set]] containing ''A'', every point that is sufficiently close to ''A'' is attracted to ''A''. The definition of an attractor uses a [[metric space|metric]] on the phase space, but the resulting notion usually depends only on the topology of the phase space. In the case of '''R'''<sup>''n''</sup>, the Euclidean norm is typically used.
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| Many other definitions of attractor occur in the literature. For example, some authors require that an attractor have positive [[measure (mathematics)|measure]] (preventing a point from being an attractor), others relax the requirement that ''B''(''A'') be a neighborhood.{{Citation needed|date=April 2009}}
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| == Types of attractors ==
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| Attractors are portions or [[subset]]s of the [[Configuration space#Phase space|phase space]] of a [[Dynamical system|dynamic system]]. Until the 1960s, attractors were thought of as being [[Geometric primitive|simple geometric subsets]] of the phase space, like [[Point (geometry)|points]], [[Line (mathematics)|lines]], [[surface]]s, and [[volume]]s. More complex attractors that cannot be categorized as simple geometric subsets, such as [[topology|topologically]] wild sets, were known of at the time but were thought to be fragile anomalies. [[Stephen Smale]] was able to show that his [[horseshoe map]] was [[structural stability|robust]] and that its attractor had the structure of a [[Cantor set]].
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| Two simple attractors are a [[Fixed point (mathematics)|fixed point]] and the [[limit cycle]]. Attractors can take on many other geometric shapes (phase space subsets). But when these sets (or the motions within them) cannot be easily described as simple combinations (e.g. [[intersection (set theory)|intersection]] and [[union (set theory)|union]]) of [[Geometric primitive|fundamental geometric objects]] (e.g. [[Line (mathematics)|lines]], [[surface]]s, [[sphere]]s, [[toroid]]s, [[manifold]]s), then the attractor is called a ''[[attractor#Strange attractor|strange attractor]]''.
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| === Fixed point ===
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| [[File:Critical orbit 3d.png|right|thumb|Weakly attracting fixed point for a complex number evolving according to a [[complex quadratic polynomial]]. The phase space is the horizontal complex plane; the vertical axis measures the frequency with which points in the complex plane are visited. The point in the complex plane directly below the peak frequency is the fixed point attractor.]]
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| A [[Fixed point (mathematics)|fixed point]] of a function or transformation is a point that is mapped to itself by the function or transformation. If we regard the evolution of a dynamical system as a series of transformations, then there may or may not be a point which remains fixed under each transformation. The final state that a dynamical system evolves towards corresponds to an attracting fixed point of the evolution function for that system, such center bottom position of a [[pendulum#damped pendulum|damped pendulum]], the level and flat water line of sloshing water in a glass, or the bottom center of a bowl contain a rolling marble. But the fixed point(s) of a dynamic system is not necessarily an attractor of the system. For example, if the bowl containing a rolling marble was inverted and the marble was balanced on top of the bowl, the center bottom (now top) of the bowl is a fixed state, but not an attractor. This is equivalent to the difference between [[Stability theory#Stability of fixed points|stable and unstable equilibria]]. In the case of a marble on top of an inverted bowl (a hill), that point at the top of the bowl (hill) is a fixed point (unstable equilibrium), but not attractor (stable equilibrium).
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| In addition, physical dynamic systems with at least one fixed point invariably have multiple fixed points and attractors due to the reality of dynamics in the physical world, including the [[nonlinear dynamics]] of [[stiction]], [[friction]], [[surface roughness]], [[Deformation (engineering)|deformation]] (both [[Elastic deformation|elastic]] and [[plastic]]ity), and even [[quantum mechanics]].<ref name="Contact of Nominally Flat Surfaces">{{cite journal|last=Greenwood|first=J. A.|author2=J. B. P. Williamson|title=Contact of Nominally Flat Surfaces|journal=Proceedings of the Royal Society|date=6 December 1966|volume=295|issue=1442|pages=300–319|doi=10.1098/rspa.1966.0242|url=http://rspa.royalsocietypublishing.org/content/295/1442/300.abstract|accessdate=31 March 2013}}</ref> In the case of a marble on top of an inverted bowl, even if the bowl seems perfectly [[Sphere#Hemisphere|hemispherical]], and the marble's [[sphere|spherical]] shape, are both much more complex surfaces when examined under a microscope, and their [[Contact mechanics#History|shapes change]] or [[deformation (mechanics)|deform]] during contact. Any physical surface can be seen to have a rough terrain of multiple peaks, valleys, saddle points, ridges, ravines, and plains.<ref name="NISTIR 89-4088">{{cite book|last=Vorberger|first=T. V.|title=Surface Finish Metrology Tutorial|year=1990|publisher=U.S. Department of Commerce, National Institute of Standards (NIST)|page=5|url=http://www.nist.gov/calibrations/upload/89-4088.pdf}}</ref> There are many points in this surface terrain (and the dynamic system of a similarly rough marble rolling around on this microscopic terrain) that are considered [[Critical point (mathematics)|stationary]] or fixed points, some of which are categorized as attractors.
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| === Limit cycle ===
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| :''See main article [[limit cycle]]''
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| A [[limit cycle]] is a periodic orbit of the system that is [[isolated point|isolated]]. Examples include the swings of a [[pendulum clock]], the tuning circuit of a radio, and the heartbeat while resting. (The limit cycle of an ideal pendulum is not an example of a limit cycle attractor because its orbits are not isolated: in the phase space of the ideal pendulum, near any point of a periodic orbit there is another point that belongs to a different periodic orbit, so the former orbit is not attracting).
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| [[Image:VanDerPolPhaseSpace.png|center|250px|thumb|<center>[[Van der Pol oscillator|Van der Pol]] [[phase portrait]]: an attracting limit cycle<center/>]]
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| === Limit torus ===
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| There may be more than one frequency in the periodic trajectory of the system through the state of a limit cycle. For example, in physics, one frequency may dictate the rate at which a planet orbits a star while a second frequency describes the oscillations in the distance between the two bodies. If two of these frequencies form an [[irrational number|irrational fraction]] (i.e. they are [[commensurability (mathematics)|incommensurate]]), the trajectory is no longer closed, and the limit cycle becomes a limit [[torus]]. This kind of attractor is called an {{math|N<sub>t</sub>}}-torus if there are {{math|N<sub>t</sub>}} incommensurate frequencies. For example here is a 2-torus:
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| [[Image:torus.png|300px]]
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| A time series corresponding to this attractor is a [[quasiperiodic]] series: A discretely sampled sum of {{math|N<sub>t</sub>}} periodic functions (not necessarily [[sine]] waves) with incommensurate frequencies. Such a time series does not have a strict periodicity, but its [[power spectrum]] still consists only of sharp lines.
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| === Strange attractor ===<!-- This section is linked from [[Lorenz attractor]] -->
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| [[Image:Lorenz attractor yb.svg|thumb|200px|right||A plot of Lorenz's strange attractor for values ρ=28, σ = 10, β = 8/3]]
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| An attractor is called '''strange''' if it has a [[fractal]] structure. This is often the case when the dynamics on it are [[chaos theory|chaotic]], but there also exist strange attractors that are not chaotic. The term was coined by [[David Ruelle]] and [[Floris Takens]] to describe the attractor that resulted from a series of [[bifurcation theory|bifurcations]] of a system describing fluid flow.
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| Strange attractors are often [[differentiable]] in a few directions, but some are [[homeomorphic|like]] a [[Cantor dust]], and therefore not differentiable. Strange attractors may also be found in presence of noise, where they may be shown to support invariant random probability measures of Sinai-Ruelle-Bowen type; see Chekroun et al. (2011).
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| Examples of strange attractors include the [[Double scroll attractor|Double-scroll attractor]], [[Hénon map|Hénon attractor]], [[Rössler attractor]], Tamari attractor, and the [[Lorenz attractor]].
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| == Partial differential equations ==
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| [[Parabolic partial differential equation]]s may have finite-dimensional attractors. The diffusive part of the equation damps higher frequencies and in some cases leads to a global attractor. The ''Ginzburg–Landau'', the ''Kuramoto–Sivashinsky'', and the two-dimensional, forced [[Navier–Stokes equation]]s are all known to have global attractors of finite dimension.
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| For the three-dimensional, incompressible Navier–Stokes equation with periodic [[boundary condition]]s, if it has a global attractor, then this attractor will be of finite dimensions.
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| == Numerical localization (visualization) of attractors: self-excited and hidden attractors ==
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| [[File:Chua-chaotic-hidden-attractor.jpg|thumb|
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| Chaotic [[hidden attractor]] (green domain) in [[Chua's circuit|Chua's system]].
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| Trajectories with initial data in a neighborhood of two saddle points (blue) tend (red arrow) to infinity or tend (black arrow) to stable zero equilibrium point (orange).
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| ]]
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| From a computational point of view, attractors can be naturally regarded as ''self-excited attractors'' or
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| ''[[hidden attractor]]s''.<ref name=2011-PLA-Hidden-Chua-attractor>{{cite journal |
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| author = Leonov G.A., Vagaitsev V.I., Kuznetsov N.V. |
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| year = 2011 |
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| title = Localization of hidden Chua's attractors |
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| journal = Physics Letters A |
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| volume = 375 |
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| issue = 23 |
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| pages = 2230–2233 |
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| url = http://www.math.spbu.ru/user/nk/PDF/2011-PhysLetA-Hidden-Attractor-Chua.pdf |
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| doi = 10.1016/j.physleta.2011.04.037}}
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| </ref><ref>{{cite journal
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| | author = Bragin V.O., Vagaitsev V.I., Kuznetsov N.V., Leonov G.A.
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| | year = 2011
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| | title = Algorithms for Finding Hidden Oscillations in Nonlinear Systems. The Aizerman and Kalman Conjectures and Chua's Circuits
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| | journal = Journal of Computer and Systems Sciences International
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| | volume = 50
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| | number = 5
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| | pages = 511–543
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| | url = http://www.math.spbu.ru/user/nk/PDF/2011-TiSU-Hidden-oscillations-attractors-Aizerman-Kalman-conjectures.pdf
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| | doi = 10.1134/S106423071104006X}}
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| </ref><ref name=2012-Physica-D-Hidden-attractor-Chua-circuit-smooth>{{cite journal |
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| author = Leonov G.A., Vagaitsev V.I., Kuznetsov N.V. |
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| year = 2012 |
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| title = Hidden attractor in smooth Chua systems |
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| journal = Physica D |
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| volume = 241 |
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| issue = 18 |
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| pages = 1482–1486 |
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| url = http://www.math.spbu.ru/user/nk/PDF/2012-Physica-D-Hidden-attractor-Chua-circuit-smooth.pdf |
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| doi = 10.1016/j.physd.2012.05.016}}
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| </ref><ref name=2013-IJBC-Hidden-attractors>{{cite journal |
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| author = Leonov G.A., Kuznetsov N.V. |
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| year = 2013 |
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| title = Hidden attractors in dynamical systems. From hidden oscillations in Hilbert-Kolmogorov, Aizerman, and Kalman problems to hidden chaotic attractor in Chua circuits |
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| journal = International Journal of Bifurcation and Chaos |
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| volume = 23 |
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| issue = 1 |
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| pages = art. no. 1330002|
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| url = http://www.worldscientific.com/doi/pdf/10.1142/S0218127413300024|
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| doi = 10.1142/S0218127413300024}}
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| </ref> Self-excited attractors can be localized numerically by standard computational procedures, in which after a transient sequence, a trajectory starting from a point on an unstable manifold in a small neighborhood of an unstable equilibrium reaches an attractor (like classical attractors in the [[Van der Pol]], [[Belousov–Zhabotinsky reaction|Belousov–Zhabotinsky]], [[Lorenz attractor|Lorenz]], and many other dynamical systems).
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| In contrast, the basin of attraction of a [[hidden attractor]] does not contain neighborhoods of equilibria, so the [[hidden attractor]] cannot be localized by standard computational procedures.
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| == See also ==
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| {{commons|Attractor}}
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| * [[Cycle detection]]
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| * [[Hyperbolic set]]
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| * [[Stable attractor]]
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| * [[Stable manifold]]
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| * [[Steady state]]
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| * [[Wada basin]]
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| * [[Hidden oscillation]]
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| == References ==
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| {{Reflist}}
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| == Further reading ==
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| * {{Scholarpedia|title=Attractor|curator=[[John Milnor]]|urlname=Attractor}}
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| * {{cite journal | author=[[David Ruelle]] and [[Floris Takens]] | title= On the nature of turbulence | journal=Communications of Mathematical Physics | year=1971 | volume=20 | pages=167–192 | doi= 10.1007/BF01646553 | issue=3}}
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| * {{cite journal | author=D. Ruelle| title= Small random perturbations of dynamical systems and the definition of attractors | journal=Communications of Mathematical Physics | year=1981 | volume=82 | pages=137–151| doi= 10.1007/BF01206949}}
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| * {{cite journal | author=[[John Milnor]]| title= On the concept of attractor | journal=Communications of Mathematical Physics | year=1985 | volume=99 | pages=177–195| doi= 10.1007/BF01212280 | issue=2}}
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| * {{cite book | author=David Ruelle | title=Elements of Differentiable Dynamics and Bifurcation Theory | publisher=Academic Press | year=1989 | isbn=0-12-601710-7}}
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| * {{cite journal
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| | last = Ruelle
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| | first = David
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| | authorlink = David Ruelle
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| | title = What is...a Strange Attractor?
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| | journal = [[Notices of the American Mathematical Society]]
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| |date=August 2006
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| | volume = 53
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| | issue = 7
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| | pages = 764–765
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| | url = http://www.ams.org/notices/200607/what-is-ruelle.pdf
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| | format = [[PDF]]
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| | accessdate = 16 January 2008 }}
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| * {{cite journal | doi=10.1016/0167-2789(84)90282-3 | author=Grebogi, Ott, Pelikan, Yorke | title = Strange attractors that are not chaotic | journal = Physica D | year = 1984 | volume = 13 | pages = 261–268}}
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| * {{cite journal | doi=10.1016/j.physd.2011.06.005 | author=Chekroun, M. D., E. Simonnet, and M. Ghil | title=Stochastic climate dynamics: Random attractors and time-dependent invariant measures | journal = Physica D | year = 2011 | volume = 240 (21) | pages = 1685–1700 }}
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| * [[Edward Lorenz|Edward N. Lorenz]] (1996) ''The Essence of Chaos'' ISBN 0-295-97514-8
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| * [[James Gleick]] (1988) ''Chaos: Making a New Science'' ISBN 0-14-009250-1
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| == External links ==
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| * [http://www.scholarpedia.org/article/Basin_of_attraction Basin of attraction on Scholarpedia]
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| * [http://slide.nethium.pl/album_en.net?gNwADMfFmY A gallery of trigonometric strange attractors]
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| * [http://www.chuacircuits.com/sim.php Double scroll attractor] Chua's circuit simulation
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| * [https://ccrma.stanford.edu/~stilti/images/chaotic_attractors/poly.html A gallery of polynomial strange attractors]
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| * [http://www.aidansamuel.com/strange.php Animated Pickover Strange Attractors]
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| * [http://www.chaoscope.org Chaoscope, a 3D Strange Attractor rendering freeware]
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| * [http://ronrecord.com/PhD/intro.html Research abstract] and [ftp://ftp2.sco.com/pub/skunkware/src/x11/misc/mathrec-1.1c.tar.gz software laboratory] <!--[needs shorter summary] for exploring new algorithms to determining the attractor basin boundaries of iterated endomorphisms.-->
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| * [http://wokos.nethium.pl/attractors_en.net Online strange attractors generator]
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| * [http://1618.pl/home/math_viz/attractor/attractor.html Interactive trigonometric attractors generator]
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| * [http://www.bentamari.com/attractors Economic attractor]
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| [[Category:Limit sets]]
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