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Nonlinear stochastic differential equations and 1/f noise

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Connection with other <strong>equations</strong><br />

SDE with exponential restriction with η = 1/2, x min = 0 <strong>and</strong> m = 1<br />

gives Cox-Ingersoll-Ross (CIR) process<br />

dx = k(θ − x)dt + σ √ x dW t<br />

where k = σ 2 /2x max , θ = x max (1 − ν)<br />

When ν = 2η, x max = ∞ <strong>and</strong> m = 2η − 2 then we get the<br />

Constant Elasticity of Variance (CEV) process<br />

where µ = σ 2 (η − 1)x 2(η−1)<br />

min<br />

dx = µxdt + σx η dW t<br />

Julius Ruseckas (Lithuania) <strong>Nonlinear</strong> <strong>stochastic</strong> <strong>differential</strong> <strong>equations</strong> August 28, 2012 19 / 32

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