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) 13.04.2015 1 IAM-METU General Seminar: Fractional Calculus and its Applications Prof. Dr. Selcuk Bayin December 21, 2010, Tuesday 15:40-17.30 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. 2 Derivative and integral as inverse operations 13.04.2015 3 If the lower limit is different from zero 13.04.2015 4 nth derivative can be written as 13.04.2015 5 13.04.2015 6 Successive integrals 13.04.2015 7 For n successive integrals we write 13.04.2015 8 Comparing the two expressions 13.04.2015 9 Finally, 13.04.2015 10 Grünwald-Letnikov definition of Differintegrals for all q For positive integer n this satisfies 13.04.2015 11 Differintegrals via the Cauchy integral formula We first write 13.04.2015 12 Riemann-Liouville definition 13.04.2015 13 Differintegral of a constant 13.04.2015 14 13.04.2015 15 Some commonly encountered semi-derivatives and integrals 13.04.2015 16 Special functions as differintegrals 13.04.2015 17 Applications to Science and Engineering • Laplace transform of a Differintegral 13.04.2015 18 Caputo derivative 13.04.2015 19 Relation betwee the R-L and the Caputo derivative 13.04.2015 20 Summary of the R-L and the Caputo derivatives 13.04.2015 21 13.04.2015 22 Fractional evolution equation 13.04.2015 23 Mittag-Leffler function 13.04.2015 24 Euler equation y’(t)=iω y(t) We can write the solution of the following extra-ordinary differential equation: 13.04.2015 25 13.04.2015 26 13.04.2015 27 13.04.2015 28 13.04.2015 29 13.04.2015 30 13.04.2015 31 Other properties of Differintegrals: • • • • Leibniz rule Uniqueness and existence theorems Techniques with differintegrals Other definitions of fractional derivatives • • • • 13.04.2015 Bayin (2006) and its supplements Oldham and Spanier (1974) Podlubny (1999) Others 32 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. 13.04.2015 33 Thermal motion of atoms 13.04.2015 34 13.04.2015 35 13.04.2015 36 13.04.2015 37 13.04.2015 38 13.04.2015 39 13.04.2015 40 13.04.2015 41 •Classical and nonextensive information theory (Giraldi 2003) •Mittag-Leffler functions to pathway model to Tsallis statistics (Mathai and Haubolt 2009) 13.04.2015 42 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 13.04.2015 43 13.04.2015 44 13.04.2015 45 13.04.2015 46 13.04.2015 47 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. 13.04.2015 48 13.04.2015 49 13.04.2015 50 13.04.2015 51 13.04.2015 52 13.04.2015 53 Memory Initial condition Probability density 13.04.2015 54 13.04.2015 55