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Fractional Calculus and its Applications to Science and Engineering

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1 Fractional Calculus and its Applications to Science and Engineering
Selçuk Bayın Slides of the seminars IAM-METU (21, Dec. 2010) Feza Gürsey Institute (17, Feb. 2011) 1

2  IAM-METU General Seminar: Fractional Calculus and its Applications            Prof. Dr. Selcuk Bayin  December 21, 2010, Tuesday 15:  The geometric interpretation of derivative as the slope and integral  as the area are so evident that one can hardly imagine that a  meaningful definition for the fractional derivatives and integrals can  be given. In 1695 in a letter to L’ Hopital, Leibniz mentions that he  has an expression that looks like the derivative of order 1/2, but  also adds that he doesn’t know what meaning or use it may have. Later,  Euler notices that due to his gamma function derivatives and integrals  of fractional orders may have a meaning. However, the first formal  development of the subject comes in nineteenth century with the  contributions of Riemann, Liouville, Grünwald and Letnikov, and since  than results have been accumulated in various branches of mathematics.  The situation on the applied side of this intriguing branch of  mathematics is now changing rapidly. Fractional versions of the well  known equations of applied mathematics, such as the growth equation,  diffusion equation, transport equation, Bloch equation. Schrödinger  equation, etc., have produced many interesting solutions along with  observable consequences. Applications to areas like economics, finance  and earthquake science are also active areas of research.  The talk will be for a general audience.

3 Derivative and integral as inverse operations
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4 If the lower limit is different from zero
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5 nth derivative can be written as
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7 Successive integrals 7

8 For n successive integrals we write
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9 Comparing the two expressions
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10 Finally, 10

11 Grünwald-Letnikov definition of Differintegrals
for all q For positive integer n this satisfies 11

12 Differintegrals via the Cauchy integral formula
We first write 12

13 Riemann-Liouville definition
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14 Differintegral of a constant
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16 Some commonly encountered semi-derivatives and integrals
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17 Special functions as differintegrals
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18 Applications to Science and Engineering
Laplace transform of a Differintegral 18

19 Caputo derivative 19

20 Relation betwee the R-L and the Caputo derivative
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21 Summary of the R-L and the Caputo derivatives
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23 Fractional evolution equation
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24 Mittag-Leffler function
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25 Euler equation y’(t)=iω y(t)
We can write the solution of the following extra-ordinary differential equation: 25

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32 Other properties of Differintegrals:
Leibniz rule Uniqueness and existence theorems Techniques with differintegrals Other definitions of fractional derivatives Bayin (2006) and its supplements Oldham and Spanier (1974) Podlubny (1999) Others 32

33 GAUSSIAN DISTRIBUTION
Gaussian distribution or the Bell curve is encountered in many different branches of scince and engineering Variation in peoples heights Grades in an exam Thermal velocities of atoms Brownian motion Diffusion processes Etc. can all be described statistically in terms of a Gaussian distribution. 33

34 Thermal motion of atoms
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42 Classical and nonextensive information theory (Giraldi 2003)
Mittag-Leffler functions to pathway model to Tsallis statistics (Mathai and Haubolt 2009) 42

43 Gaussian and the Brownian Motion
A Brownian particle moves under the influence of random collisions with the evironment atoms. Brownian motion (1828) (observation) Einstein’s theory (1905) Smoluchowski (1906) In one dimension p(x) is the probability of a single particle making a single jump of size x. Maximizing entropy; S= subject to the conditions and variance 43

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48 Constraint on the variance, through the central limit theorem, assures
Note: Constraint on the variance, through the central limit theorem, assures that any system with finite variance always tends to a Gaussian. Such a distribution is called an attractor. 48

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54 Memory Initial condition Probability density 54

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