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Diffusion on fractals and space- fractional diffusion equations M.Sc. Janett Prehl Vortrag im Rahmen des Promotionsverfahrens
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Diffusion on fractals and space- fractional diffusion ... · Diffusion on fractals and space-fractional diffusion equations ... Superdiffusion : ... • Expressing solution of space-fractional

Jun 21, 2018

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Page 1: Diffusion on fractals and space- fractional diffusion ... · Diffusion on fractals and space-fractional diffusion equations ... Superdiffusion : ... • Expressing solution of space-fractional

Diffusion on fractals and space-fractional diffusion equations

M.Sc. Janett Prehl

Vortrag im Rahmen des Promotionsverfahrens

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Outline

Motivation

Space-fractional diffusion equations Definition How to solve space-fractional diffusion equations

Entropy and Entropy production rates of space-fractional diffusion equations

Paradoxical behavior Why does it appear? Solution of the paradox

Summary

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Normal diffusion

•  Size of particle cloud

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Anomalous Diffusion

•  Diffusion of particles in disordered materials –  inside a bulk –  on the surface (deposit)

Subdiffusion

Normal diffusion

Superdiffusion

: Distance a particle has traversed in time t from its origin

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Anomalous diffusion

•  Anomalous subdiffusion in living cells M. Weiss, et al.; Biophys. J., 87 (2004):3518--3524.

•  Diffusion in disordered materials S. Havlin and D. Ben-Avraham; Adv. Phys., 36 (1987):695--798.

•  Spreading of diseases A. L. Lloyd; Science, 292 (2001):1316--1317

•  Foraging behavior of wandering albatrosses G. M. Viswanathan, et al.; Nature, 381(1996):413--415

  Investigating anomalous diffusion of great interest for various field of science

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Diffusion equation

•  Normal diffusion equation (one dimensional)

•  Initial condition

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Generalized diffusion equations

•  In the literature known: Time-fractional diffusion equation

–  Represents superdiffusive processes

–  Due to the choice of , a bridging regime between

Diffusion equation Wave equation

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Bridging regime

Wave equation

Iconic for reversibility

Diffusion equation

Iconic for irreversibility

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Space-fractional diffusion equations

 Extending space derivatives to fractional order, instead of time derivatives

Represents same bridging regime:

Half wave equation Diffusion equation reversible process irreversible process

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Space-fractional diffusion equation

  I investigated the bridging regime due to the thermodynamical aspect of irreversibility

•  Natural measure of irreversibility: Entropy production rate

(Half) wave equation Diffusion equation low entropy production rates high entropy production rates

Intuitive expectation: Moving from the wave regime to the diffusion regime the

entropy production rate should increase!

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Space-fractional diffusion equations

1. What is a fractional derivative?

2. How to solve a space-fractional diffusion equation?

3. What happens with the entropy production rate?

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1. What is a fractional derivative

•  Definition via Fourier transformation: –  Fourier transformation:

–  Example: First derivative:

–  Fractional derivative:

  Fractional derivative becomes a multiplication

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2. How to solve a space-fractional diffusion equation?

 Applying the Fourier transformation:

 Choosing initial condition:

  Leads to:

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2. How to solve a space-fractional diffusion equation?

•  Characteristic function of solution of space-fractional diffusion equations:

 Problem: Closed form of the inverse Fourier transformation is not know!

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Stable distribution

•  P. Lévy: In the 1920’s characterization of a class of probability distributions –  Include skewness, heavy tails, mathematical intriguing properties –  Defined via their characteristic function

 Stable distribution

characteristic exponent skewness parameter scaling of distribution localization or shift of distribution parameterization

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Stable distribution

•  Characteristic function of stable distribution for :

•  Characteristic function of solution of space-fractional diffusion equation:

Both equation are identical for:

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Stable distribution

•  Problem: For this stable distribution the inverse Fourier

transform is not known!

•  But, we know: –  Asymptotic heavy tail behavior in closed form –  Location of mean of distribution is –  Location of mode of distribution is indicated by

 Numerical calculation of

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Examples of probability distribution

Bridging regime from wave equation to diffusion equation

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Remember:

•  Natural measure of irreversibility: Entropy production rate

Intuitive expectation: Moving from the wave regime to the diffusion regime the

entropy production rate should increase!

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3. What happens with the entropy production rate?

•  Standard definition – Shannon entropy:

 Group method approach •  One-parameter group:

•  Normalization:

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Entropy production paradox

•  Entropy production rate:

  For increasing is monotonically decreasing Paradoxical behavior to intuitive expectation

•  Same paradox also appears for generalized entropy definitions: –  Tsallis entropy:

–  Renyi entropy:

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Entropy production paradox

•  How to explain the entropy production paradox?   Considering the full -dependence of the entropy

 From intuitive expectation: Comparing entropies at equal times, the entropy for should be smaller than for

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Why does the paradox appear?

Comparing two two two different times

–  We know: mean is zero

 Each process exhibits a change of shape of  Each process has its internal quickness moving bulk

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Eliminating effects of bulk movement

•  What we know about stable distribution: –  Localization of mode of distribution indicated by

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Resolving of the paradox

•  Comparing entropies at fixed bulk positions resolves the paradox:

  The paradox is solved!  This new basis of comparison does also work for the

Tsallis and Rényi entropy definiton.

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Summary

•  Introduction of space-fractional diffusion equations as bridging regime between reversibility and irreversibility

•  Expressing solution of space-fractional diffusion equations in terms of a stable distribution

•  Numerical calculation of entropy and entropy production rate for different entropy definitions

•  Observation of an entropy production paradox

•  Resolution of the paradox by taking internal quickness and the change of the shape into account.

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The end

Thank you for your attention.

Questions?

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