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Chaos Analysis Presented by:   Divya Sindhu Lekha   M. Tech (Technology Management)   2008-2010   [email_address]
Contents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object]
Chaos - Definition ,[object Object]
Mile Stones ,[object Object],[object Object],[object Object],[object Object],[object Object]
 
 
 
Attractors ,[object Object],[object Object]
Point Attractor Cycle Attractor Torus Attractor
Strange Attractor ,[object Object],[object Object],[object Object],[object Object]
Strange Attractor (E.g.) ,[object Object],[object Object],[object Object]
Fractal Geometry ,[object Object],[object Object],[object Object],[object Object]
Some Fractals…
 
 
 
 
 
Measures of Chaos
Need to quantify the chaos ,[object Object],[object Object],[object Object],[object Object]
Types of measures ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lyapunov Exponent( λ ) ,[object Object],[object Object],λ  =  ∑  λ (x i )  /N
Λ  Value ,[object Object],[object Object],[object Object]
Entropy ,[object Object],[object Object],S =  ∑ P i  ln(1 / P i  ) 0<=S<=ln r ; r – no. of events
Entropy ,[object Object],K n   = 1/ τ (S n+1  - S n )
Entropy Avg. K n  = lim  N -> ∞ 1/N τ  ∑ (S n+1  - S n ) = lim  N -> ∞  1/N τ [S N  – S 0 ] K n  = lim  τ  -> 0 lim  L -> 0  lim  N -> ∞  1/N τ [S N  – S 0 ] By complete definition of K-S Entropy,
Geometric Measures ,[object Object],[object Object],[object Object],[object Object]
Fractal Dimension ,[object Object],[object Object],[object Object],[object Object]
Fractal Dimension – Box counting ,[object Object],[object Object],[object Object],N(R)   = lim  R -> 0 kR - Db  ; k - constant
Fractal Dimension – Box counting D b  = -lim  R -> 0  log N(R)/log R For a point in 2-D space,  D b  = 0 For a line segment of length L,  D b  = 1 For a surface length L,  D b  = 1
Correlation Dimension ( D c  ) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Correlation Dimension ( D c  ) ,[object Object],[object Object],[object Object]
Directions ,[object Object],[object Object],[object Object]
Directions ,[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank You…

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Chaos Analysis