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3 Fractional dynamics (FD) and excess wings

[123.6.1] The theory of fractional dynamics yields a three parameter function, that allows to fit both, the asymmetric peak and the excess wing with a single stretching exponent [17, 16, 23]. [123.6.2] The three parameter function is denoted as “fractional dynamics” (FD) relaxation in figure 2. [123.6.3] Its functional form reads

ft=E1,1-α,1-tτ1,-τ2ατ1t1-α(8a)
εu=1+uτ2α1+uτ2α+uτ1(FD).(8b)

where

Ea1,a2,bz1,z2=k=010201+2=kk!1!2!z11z22Γb+a11+a22(9)

with a1,a2>0 and b,z1,z2C is the binomial Mittag-Leffler function [25]. [123.6.4] The function ft from eq. (8) solves the fractional differential equation

τ1dfdt+τ2αAαf=-f(10)

with τ1,τ2>0, 0<α<1, and inital value f0=1 [25]. [123.6.5] In eq. (10) the operator Aα is the infinitesimal generator of fractional time evolutions of index α [7, 11, 10, 9, 15, 23]. [123.6.6] It can be written as a fractional time derivative of order α in the form

Aα=--Aα=-ddtα(11)

where A=-d/dt is the infinitesimal generator of translations. [123.6.7] For a mathematical definition of Aα see [23]. [123.6.8] Note, that the solution (8) of eq. (10) holds also for generalized Riemann-Liouville operators Aα=D0+α,γ of order α and type 0<γ<1 as shown in [17, 16]. [123.6.9] The (right-/left-sided) generalized Riemann-Liouville fractional derivative of order 0<α<1 and type 0γ1 with respect to x was introduced in definition 3.3 in [15, p.113] by

Da±α,γfx=±Ia±γ1-αddxIa±1-γ1-αfx(12)

where

Ia+αfx=1Γαaxx-yα-1fydy(13)

for x>a, denotes the right-sided Riemann-Liouville fractional integral of order α>0, and the left sided integral Ia-α is defined analogously [15, 13].

Figure 2: Five different fits to the imaginary part Imεu (u=-2πiν) of the complex dielectric function of propylene carbonate at T=193K as a function of frequency. Experimental data represented by crosses are taken from Ref. [34]. The range over which the data were fitted is indicated by dashed vertical lines in the figure. For clarity the data were displaced vertically by half a decade each. The original location of the data corresponds to the curve labelled FD.