Riemann–Liouville integral explained

f:RR

another function of the same kind for each value of the parameter . The integral is a manner of generalization of the repeated antiderivative of in the sense that for positive integer values of, is an iterated antiderivative of of order . The Riemann–Liouville integral is named for Bernhard Riemann and Joseph Liouville, the latter of whom was the first to consider the possibility of fractional calculus in 1832.[1] [2] [3] The operator agrees with the Euler transform, after Leonhard Euler, when applied to analytic functions. It was generalized to arbitrary dimensions by Marcel Riesz, who introduced the Riesz potential.

Motivation

The Riemann-Liouville integral is motivated from Cauchy formula for repeated integration. For a function continuous on the interval [{{mvar|a}},{{mvar|x}}], the Cauchy repeated integration formula states that

f^(x) = \frac \int_a^x\left(x-t\right)^ f(t)\,\mathrmt.

Now, this formula can be generalized to any positive real number by replacing positive integer with, Therefore we obtain the definition of Riemann-Liouville fractional Integral by

I\alphaf(x)=

1
\Gamma(\alpha)
xf(t)(x-t)
\int
a

\alpha-1dt

Definition

The Riemann–Liouville integral is defined by

I\alphaf(x)=

1
\Gamma(\alpha)
xf(t)(x-t)
\int
a

\alpha-1dt

where is the gamma function and is an arbitrary but fixed base point. The integral is well-defined provided is a locally integrable function, and is a complex number in the half-plane . The dependence on the base-point is often suppressed, and represents a freedom in constant of integration. Clearly is an antiderivative of (of first order), and for positive integer values of, is an antiderivative of order by Cauchy formula for repeated integration. Another notation, which emphasizes the base point, is

{}aD

-\alpha
x

f(x)=

1
\Gamma(\alpha)
x
\int
a

f(t)(x-t)\alpha-1dt.

This also makes sense if, with suitable restrictions on .

The fundamental relations hold

d
dx

I\alpha+1f(x)=I\alphaf(x),I\alpha(I\betaf)=I\alpha+\betaf,

the latter of which is a semigroup property. These properties make possible not only the definition of fractional integration, but also of fractional differentiation, by taking enough derivatives of .

Properties

Fix a bounded interval . The operator associates to each integrable function on the function on which is also integrable by Fubini's theorem. Thus defines a linear operator on :

I\alpha:L1(a,b)\toL1(a,b).

Fubini's theorem also shows that this operator is continuous with respect to the Banach space structure on 1, and that the following inequality holds:

\left\|I\alphaf\right\|1\le

|b-a|\Re(\alpha)
\Re(\alpha)|\Gamma(\alpha)|

\|f\|1.

Here denotes the norm on .

More generally, by Hölder's inequality, it follows that if, then as well, and the analogous inequality holds

\left\|I\alphaf\right\|p\le

|b-a|\Re(\alpha)/p
\Re(\alpha)|\Gamma(\alpha)|

\|f\|p

where is the norm on the interval . Thus we have a bounded linear operator . Furthermore, in the sense as along the real axis. That is

\lim
\alpha\to0+

\|I\alphaf-f\|p=0

for all . Moreover, by estimating the maximal function of, one can show that the limit holds pointwise almost everywhere.

The operator is well-defined on the set of locally integrable function on the whole real line

R

. It defines a bounded transformation on any of the Banach spaces of functions of exponential type

X\sigma=L1(e-\sigma|t|dt),

consisting of locally integrable functions for which the norm

\|f\|=

infty
\int
-infty

|f(t)|e-\sigma|t|dt

is finite. For, the Laplace transform of takes the particularly simple form

(l{L}I\alphaf)(s)=s-\alphaF(s)

for . Here denotes the Laplace transform of, and this property expresses that is a Fourier multiplier.

Fractional derivatives

One can define fractional-order derivatives of as well by

d\alpha
dx\alpha

f\overset{def

} \frac I^f

where denotes the ceiling function. One also obtains a differintegral interpolating between differentiation and integration by defining

\alpha
D
x

f(x)=\begin{cases}

d\lceil\alpha\rceil
dx\lceil\alpha\rceil

I\lceil\alpha\rceil-\alphaf(x)&\alpha>0\f(x)&\alpha=0\I-\alphaf(x)&\alpha<0.\end{cases}

An alternative fractional derivative was introduced by Caputo in 1967, and produces a derivative that has different properties: it produces zero from constant functions and, more importantly, the initial value terms of the Laplace Transform are expressed by means of the values of that function and of its derivative of integer order rather than the derivatives of fractional order as in the Riemann–Liouville derivative. The Caputo fractional derivative with base point, is then:

\alpha
Df(y)=
x
1
\Gamma(1-\alpha)
y
\int
x

f'(y-u)(u-x)-\alphadu.

Another representation is:

\alpha
{}
x

f(x)=I\lceil\left(

d\lceilf
dx\lceil

\right).

Fractional derivative of a basic power function

Let us assume that is a monomial of the form

f(x)=xk.

The first derivative is as usual

f'(x)=

d
dx

f(x)=kxk-1.

Repeating this gives the more general result that

da
dxa

xk=\dfrac{k!}{(k-a)!}xk-a,

which, after replacing the factorials with the gamma function, leads to
da
dxa

xk=\dfrac{\Gamma(k+1)}{\Gamma(k-a+1)}xk-a,    k>0.

For and, we obtain the half-derivative of the function

x\mapstox

as
12
d
x=
12
dx
\Gamma(1+1)
\Gamma\left(1-121\right)
+
1-12
x=
\Gamma(2)
\Gamma\left(3\right)
2
12
=
x
1
\sqrt{\pi
12.
{2}}x

To demonstrate that this is, in fact, the "half derivative" (where), we repeat the process to get:

12}{dx
12}
\dfrac{2x
\dfrac{d
12
}=\frac\dfracx^=\frac \frac x^0=\frac=1\,,

(because \Gamma\!\left(\frac\right) = \frac and) which is indeed the expected result of

\left(
12
d
12
dx
12
d
12
dx

\right)x=

d
dx

x=1.

For negative integer power, 1/\Gamma is 0, so it is convenient to use the following relation:

da
dxa

x-k=\left(-1\right)a\dfrac{\Gamma(k+a)}{\Gamma(k)}x-(k+a)fork\ge0.

This extension of the above differential operator need not be constrained only to real powers; it also applies for complex powers. For example, the -th derivative of the -th derivative yields the second derivative. Also setting negative values for yields integrals.

For a general function and, the complete fractional derivative is

D\alphaf(x)=

1
\Gamma(1-\alpha)
d
dx
x
\int
0
f(t)
\left(x-t\right)\alpha

dt.

For arbitrary, since the gamma function is infinite for negative (real) integers, it is necessary to apply the fractional derivative after the integer derivative has been performed. For example,

32
f(x)
D

=

12
D
D

1

12
d
dx
f(x)=D

f(x).

Laplace transform

We can also come at the question via the Laplace transform. Knowing that

lL\left\{Jf\right\}(s)=lL

t
\left\{\int
0

f(\tau)d\tau\right\}(s)=

1
s

l(lL\left\{f\right\}r)(s)

and

lL

2f\right\}=1sl(lL
\left\{Jf\right\}
\left\{Jr)(s)=
1{s
2}l(lL\left\{f\right\}r)(s)

and so on, we assert

J\alphaf=lL-1\left\{s-\alphal(lL\{f\}r)(s)\right\}

.

For example,

J\alpha(tk)=lL-1\left\{

\Gamma(k+1)
s\alpha+k+1

\right\}=

\Gamma(k+1)
\Gamma(\alpha+k+1)

t\alpha+k

as expected. Indeed, given the convolution rule

lL\{f*g\}=l(lL\{f\}r)l(lL\{g\}r)

and shorthanding for clarity, we find that

\begin{align} \left(J\alphaf\right)(t)&=

1
\Gamma(\alpha)

lL-1\left\{l(lL\{p\}r)l(lL\{f\}r)\right\}\\ &=

1(p*f)\\ &=
\Gamma(\alpha)
1
\Gamma(\alpha)
t
\intp(t-\tau)f(\tau)d\tau\\ &=
0
1
\Gamma(\alpha)
t\left(t-\tau\right)
\int
0

\alpha-1f(\tau)d\tau\\ \end{align}

which is what Cauchy gave us above.

Laplace transforms "work" on relatively few functions, but they are often useful for solving fractional differential equations.

Notes

  1. .
  2. .
  3. .

References

External links