Fractional calculus is a branch of mathematical analysis that studies the possibility of taking real number powers or complex number powers of the differentiation operator.
and the integration operator J. (Usually J is used instead of I to avoid confusion with other I-like glyphs and identities.)
In this context the term powers refers to iterative application or composition, in the same sense that f 2(x) = f(f(x)).
For example, one may ask the question of meaningfully interpreting
as a square root of the differentiation operator (an operator half iterate), i.e., an expression for some operator that when applied twice to a function will have the same effect as differentiation. More generally, one can look at the question of defining
for real-number values of a in such a way that when a takes an integer value n, the usual power of n-fold differentiation is recovered for n > 0, and the −nth power of J when n < 0.
The motivation behind this extension to the differential operator is that the semigroup of powers Da will form a continuous semigroup with parameter a, inside which the original discrete semigroup of Dn for integer n can be recovered as a subgroup. Continuous semigroups are prevalent in mathematics, and have an interesting theory. Notice here that fraction is then a misnomer for the exponent a, since it need not be rational; the use of the term fractional calculus is merely conventional.
Fractional differential equations are a generalization of differential equations through the application of fractional calculus.
An important point is that the fractional derivative at a point x is a local property only when a is an integer; in non-integer cases we cannot say that the fractional derivative at x of a function f depends only on the graph of f very near x, in the way that integer-power derivatives certainly do. Therefore it is expected that the theory involves some sort of boundary conditions, involving information on the function further out. To use a metaphor, the fractional derivative requires some peripheral vision.
As far as the existence of such a theory is concerned, the foundations of the subject were laid by Liouville in a paper from 1832. The fractional derivative of a function to order a is often now defined by means of the Fourier or Mellin integral transforms.[1]
A fairly natural question to ask is whether there exists an operator , or half-derivative, such that
It turns out that there is such an operator, and indeed for any , there exists an operator such that
or to put it another way, the definition of can be extended to all real values of n.
To delve into a little detail, start with the Gamma function , which extends factorials to non-integer values. This is defined such that
Assuming a function that is defined where , form the definite integral from 0 to x. Call this
Repeating this process gives
and this can be extended arbitrarily.
The Cauchy formula for repeated integration, namely
leads to a straightforward way to a generalization for real n.
Simply using the Gamma function to remove the discrete nature of the factorial function (recalling that , or equivalently ) gives us a natural candidate for fractional applications of the integral operator.
This is in fact a well-defined operator.
It can be shown that the J operator satisfies
this relationship is called the semigroup property of fractional differintegral operators. Unfortunately the comparable process for the derivative operator D is significantly more complex, but it can be shown that D is neither commutative nor additive in general.
Let us assume that is a monomial of the form
The first derivative is as usual
Repeating this gives the more general result that
Which, after replacing the factorials with the Gamma function, leads us to
For and , we obtain the half-derivative of the function as
Repeating this process yields
which is indeed the expected result of
This extension of the above differential operator need not be constrained only to real powers. For example, the th derivative of the th derivative yields the 2nd derivative. Also notice that setting negative values for a yields integrals.
The complete fractional derivative which will yield the same result as above is (for )
For arbitrary , since the gamma function is undefined for arguments whose real part is a negative integer, it is necessary to apply the fractional derivative after the integer derivative has been performed. For example,
We can also come at the question via the Laplace transform. Noting that
and
etc., we assert
For example
as expected. Indeed, given the convolution rule (and shorthanding for clarity) we find that
which is what Maggie Daly gave us above.
Laplace transforms "work" on relatively few functions, but they are often useful for solving fractional differential equations.
The classical form of fractional calculus is given by the Riemann–Liouville integral, essentially what has been described above. The theory for periodic functions, therefore including the 'boundary condition' of repeating after a period, is the Weyl integral. It is defined on Fourier series, and requires the constant Fourier coefficient to vanish (so, applies to functions on the unit circle integrating to 0).
By contrast the Grünwald–Letnikov derivative starts with the derivative instead of the integral.
The corresponding derivative is calculated using Lagrange's rule for differential operators. Computing n-th order derivative over the integral of order n-α, the α order derivative is obtained. Is important to remark that n is the nearest integer bigger than α.
There is another option for computing fractional derivatives, the Caputo fractional derivative was introduced by M. Caputo in 1990[2], In contrast to the Riemann Liouville fractional derivative, when solving differential equations using Caputo definition is not necessary to define fractional order initial conditions. Caputo's definition is illustrated as follows.
In the context of functional analysis, functions f(D) more general than powers are studied in the functional calculus of spectral theory. The theory of pseudo-differential operators also allows one to consider powers of D. The operators arising are examples of singular integral operators; and the generalisation of the classical theory to higher dimensions is called the theory of Riesz potentials. So there are a number of contemporary theories available, within which fractional calculus can be discussed. See also Erdélyi–Kober operator, important in special function theory (Kober 1940), (Erdélyi 1950–51).
As described by Wheatcraft and Meerschaert (2008),[3] a fractional conservation of mass equation is needed when the control volume is not large enough compared to the scale of heterogeneity and when the flux within the control volume is non-linear. In the referenced paper, the fractional conservation of mass equation for fluid flow is:
This equation has been shown useful for modeling contaminant flow in heterogenous porous media.[4][5][6]
For the semiclassical approximation in one dimensional spatial system (x,t) the inverse of the potential inside the Hamiltonian is given by the half-integral of the density of states taken in units where (ref: 6)
Fractional derivatives are used to model viscoelastic damping in certain types of materials like polymers. [7]
The CRONE (R) Toolbox, a Matlab and Simulink Toolbox dedicated to fractional calculus, can be downloaded at http://cronetoolbox.ims-bordeaux.fr