Cobweb plot: Difference between revisions

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Added the name of the inventor of the method and the reference to the first publication in 1897. Also described the case of monotonic (one-sided) convergence to the fixed point.
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{{Short description|Visual representation of an iterated function}}
{{refimprove|date=August 2014}}
[[Image:CobwebConstruction.gif|class=skin-invert-image|thumb|upright=1.2|Construction of a cobweb plot of the logistic map <math>y = 2.8 x (1-x)</math>, showing an [[attracting fixed point]].]]
[[Image:LogisticCobwebChaos.gif|class=skin-invert-image|thumb|upright=1.2|An animated cobweb diagram of the [[logistic map]] <math>y = r x (1-x)</math>, showing [[chaosChaos theory|chaotic behaviour]] behaviour for most values of <math>r > 3.57</math>.]]
A '''cobweb plot''', known also as '''Lémeray Diagram''' or '''Verhulst diagram''' is a visual tool used in the [[dynamical system]]s, a field of [[mathematics]] to investigate the qualitative behaviour of one-dimensional [[iterated function]]s, such as the [[logistic map]]. The technique was introduced in the 1890s1822 by E.-M. Lémeray<ref>{{Cite journal |last=Lémeray |first=E.-M. |date=1897 |title=Sur la convergence des substitutions uniformes. |url=http://www.numdam.org/item/NAM_1898_3_17__75_1.pdf |journal=Nouvelles annales de mathématiques, 3e série. |volume=16 |pages=306–319}}</ref>. Using a cobweb plot, it is possible to infer the long term status of an [[initialAdrien-Marie conditionLegendre]] under repeated application of a map.<ref name="stoop">{{cite book |last1=Stoop |first1= Ruedi |last2=Steeb |first2= Willi-Hans |date=2006 |title=Berechenbares Chaos in dynamischen Systemen |trans-title=Computable Chaos in dynamic systems |language=german |publisher=Birkhäuser Basel| page=8 |isbn=978-3-7643-7551-5 |doi= 10.1007/3-7643-7551-5 }}</ref>
{{Cite journal
| date = 2021
| doi = 10.14708/am.v15i1.7056
| journal = Antiquitates Mathematicae
| last = Rosa
| first = Alessandro
| pages = 3–90
| title = An episodic history of the staircased iteration diagram
| url = https://wydawnictwa.ptm.org.pl/index.php/antiquitates-mathematicae/article/viewArticle/7056
| volume = 15
| url-access= subscription
}}
</ref> Using a cobweb plot, it is possible to infer the long-term status of an [[initial condition]] under [[Recurrence relation|repeated application]] of a map.<ref name="stoop">
{{Cite book
| date = 2006
| doi = 10.1007/3-7643-7551-5
| isbn = 978-3-7643-7551-5
| language = german
| last1 = Stoop
| first1 = Ruedi
| last2 = Steeb
| first2 = Willi-Hans
| page = 8
| publisher = Birkhäuser Basel
| title = Berechenbares Chaos in dynamischen Systemen
| trans-title = Computable Chaos in dynamic systems
}}
</ref>
 
==Method==
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==Interpretation==
 
On the Lémeray diagram, a stable [[fixed point (mathematics)|fixed point]] corresponds to the segment of the staircase with progressively decreasing stair lengths or to an inward [[spiral]], while an unstable fixed point is the segment of the staircase with growing stairs or an outward spiral. It follows from the definition of a fixed point that the staircases [[Converge (mathematics)|converge]] whereas spirals center at a point where the [[Identity function|diagonal]] <math>y=x</math> line crosses the function graph. A period -2 [[Orbit (dynamics)|orbit]] is represented by a [[rectangle]], while greater period cycles produce further, more complex closed loops. A [[chaos theory|chaotic]] orbit would show a '"filled -out'" area, indicating an infinite number of non-repeating values.<ref name="stoop" />
 
==See also==
* [[Jones diagram]] – similar plotting technique
* [[Fixed-point iteration]] – iterative algorithm to find fixed points (produces a cobweb plot)
 
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==References==
{{Commons category|Cobweb plots}}
{{Reflist}}
 
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[[Category:Dynamical systems]]
 
== External links ==
 
{{Sister project links|auto=yes}}
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