• Media type: E-Article
  • Title: A description of stochastic systems using chaotic maps
  • Contributor: Boyarsky, Abraham; Góra, Pawel
  • imprint: Hindawi Limited, 2004
  • Published in: Journal of Applied Mathematics and Stochastic Analysis
  • Language: English
  • DOI: 10.1155/s1048953304308026
  • ISSN: 1048-9533; 1687-2177
  • Keywords: Applied Mathematics ; Modeling and Simulation ; Statistics and Probability
  • Origination:
  • Footnote:
  • Description: <jats:p>Let <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="$\rho (x,t)$" id="E1"><mml:mi>ρ</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mi>x</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:math> denote a family of probability density functions parameterized by time <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="$t$" id="E2"><mml:mi>t</mml:mi></mml:math>. We show the existence of a family <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="$\{\tau_{t}:t&gt;0\}$" id="E3"><mml:mrow><mml:mo>{</mml:mo><mml:mrow><mml:msub><mml:mi>τ</mml:mi><mml:mn>1</mml:mn></mml:msub><mml:mo>:</mml:mo><mml:mi>t</mml:mi><mml:mo>&gt;</mml:mo><mml:mn>0</mml:mn></mml:mrow><mml:mo>}</mml:mo></mml:mrow></mml:math> of deterministic nonlinear (chaotic) point transformations whose invariant probability density functions are precisely <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" alttext="$\rho (x,t)$" id="E4"><mml:mi>ρ</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mi>x</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:math>. In particular, we are interested in the densities that arise from the diffusions. We derive a partial differential equation whose solution yields the family of chaotic maps whose density functions are precisely those of the diffusion.</jats:p>
  • Access State: Open Access