Geometric interpretation of the half-derivative? For $f(x)=x$, the half-derivative of $f$ is
$$\frac{d^{\frac{1}{2}}}{dx^{\frac{1}{2}}} x = 2 \sqrt{\frac{x}{\pi}} \;.$$
Is there some geometric interpretation of (Q1) this specific derivative, and, (Q2) of the half-derivative more generally? I have read that fractional derivatives are nonlocal,
but it seems strange to me that integral derivatives
can be described in terms of local
geometry only, while fractional derivatives cannot be so described.
This would suggest an odd discontinuity between, say, $d^{1}$ and $d^{1.01}$.
This seems especially at odds with the many applications of fractional derivatives,
which (superficially) suggests continuity should reign.
I'd appreciate someone clearing up my elementary confusions—Thanks in advance!
Addendum (5Jan14).
@AlexR. found this geometric interpretation of
the fractional integral in Richard Herrmann's book,
Fractional Calculus: An Introduction for Physicists,World Scientific, 2011:
   
 A: A simple perspective for all fractional integro-derivative operators (FID) of this type is that they satisfy the group power sum property (law of exponents)
$$D_x^{\alpha}D_x^{\beta} = D_x^{\alpha+\beta}$$
and that their actions satisfy the dual translations
$$D_x^{\beta} \; H(x) \; \frac{x^{\alpha}}{\alpha!} = H(x) \; \frac{x^{\alpha-\beta}}{(\alpha-\beta)!} = D_x^{-\alpha-1} \; H(x) \; \frac{x^{-\beta-1}}{(-\beta-1)!} ,$$
where $H(x)$ is the Heaviside step function. This is consistent with the rep of this action as the convolutional integral rep of the Euler beta function analytically continued via the Pochhammer contour or the methods of generalized functions/distributions. See below and my response to the MO-Q "What's the matrix of logarithm of derivative operator (lnD)? What is the role of this operator in various math fields?" and the numerous links therein.
The Euler beta integral has a variety of physical, geometric, and probabilistic interpretations. See the MO-Q "Connections to physics, geometry, geometric probability theory of Euler's beta integral (function)".

Sinc function / cardinal series interpolation and a circular Fourier transform:
Let me summarize some old MO and MSE responses and blog notes for easy reference to relate the FIDs here to a Fourier transform on the circle and to hopefully clear up some confusion of this family of FIDs in fractional calculus with pseudo-diff ops/symbols related to Fourier transforms of continuous functions over the whole real line.
As mentioned above one (of several reps) for the action of the FIDs is the Euler beta integral rep
$$D_x^{\beta} \; H(x)\frac{x^{\alpha}}{\alpha!}=  H(x)\int_{0}^{x}\frac{z^{\alpha}}{\alpha!} \; \frac{(x-z)^{-\beta-1}}{(-\beta-1)!}\; dz $$
$$= [ \; \int_{0}^{1}\frac{t^{\alpha}}{\alpha!} \; \frac{(1-t)^{-\beta-1}}{(-\beta-1)!} \; dt \;] \; H(x) \; x^{\alpha-\beta} .$$
Focusing on the Euler beta integral,
$$  \int_{0}^{1}\frac{t^{\alpha}}{\alpha!} \; \frac{(1-t)^{-\beta-1}}{(-\beta-1)!} \; dt $$
$$= \int_{0}^{1}\frac{t^{\alpha}}{\alpha!} \; \sum_{n=0} (-1)^n \frac{1}{n!\;(-\beta-n-1)!} \; t^n \; dt$$
$$ =\frac{1}{a! (-\beta-1)!} \sum_{n=0} (-1)^n \binom{-\beta-1}{n} \; \frac{t^{n+\alpha+1}}{n+\alpha+1} \; |_{t=0}^1$$
$$ = \frac{(-\alpha-1)!}{(-\beta-1)!}\; \sum_{n \ge 0} \binom{-\beta-1}{n}\; \frac{\sin(\pi \; (n+\alpha+1))}{\pi(n+\alpha+1)}$$
$$ = \frac{(-\alpha-1)!}{(-\beta-1)!} \; \sum_{n \ge 0} \binom{-\beta-1}{n} \; \binom{0}{n+\alpha+1} = \frac{(-\alpha-1)!}{(-\beta-1)!} \; \binom{-\beta-1}{\alpha-\beta}   = \frac{1}{(\alpha-\beta)!}    $$
with the last two lines valid for all complex $\alpha$ and $Re(\beta) < 0$. A Hadamard finite part extension of the beta integral to all $\alpha$ and $\beta$ can be constructed as on p. 68 of Generalized Functions Vol. I by Gel'fand and Shilov.
A quick change of variables, reflecting the desirable property
$$D_x^{\beta} \; H(x) \; \frac{x^{\alpha}}{\alpha!} = D_x^{-\alpha-1} \; H(x) \; \frac{x^{-\beta-1}}{(-\beta-1)!} = H(x) \; \frac{x^{\alpha-\beta}}{(\alpha-\beta)!},$$
gives
$$  \int_{0}^{1}\frac{t^{\alpha}}{\alpha!}\;\frac{(1-t)^{-\beta-1}}{(-\beta-1)!}\; dt =   \int_{0}^{1}\frac{(1-t)^{\alpha}}{\alpha!}\;\frac{t^{-\beta-1}}{(-\beta-1)!}\; dt ,$$
with the binomial expansion and subsequent sinc function interpolation for the RHS valid for
all complex $\beta$ and $Re(\alpha) > -1.$
Since the domains of validity of the two different avenues of expansion overlap to give the same result at their intersection, we have via analytic continuation an expression valid for all $\alpha$ and $\beta$, real or complex,
$$D_x^{\beta} \; H(x) \; \frac{x^{\alpha}}{\alpha!} = D_x^{-\alpha-1} \; H(x) \; \frac{x^{-\beta-1}}{(-\beta-1)!} = H(x) \; \frac{x^{\alpha-\beta}}{(\alpha-\beta)!},$$
with the caveat (really an operator interpretation, see p. 57 of Generalized Functions Vol I (1964) by Gel'fand and Shilov)
$$H(x) \frac{x^{-n-1}}{(-n-1)!} = \delta^{(n)}(x) $$
with the standard Dirac delta interpretation
$$H(x) \int_0^x f(x-t) \; \delta(t) \; dt = H(x) \int_0^x f(t) \; \delta(x-t) \; dt = H(x) f(x).$$
A Cauchy integral rep gives the blow-up from the real line of the Euler beta integral to the complex plane, and, with a bit of regularization,
$$D_x^{\beta} \;H(x)\frac{x^{\alpha}}{\alpha!}= H(x)\frac{1}{2\pi i} \; \oint_{|z-x|=|x|}\frac{z^{\alpha}}{\alpha!} \; \frac{\beta!}{(z-x)^{\beta+1}} \;dz$$
$$ = [\; \frac{1}{2\pi i} \; \oint_{|z-1|=1}\frac{z^{\alpha}}{\alpha!} \; \frac{\beta!}{(z-1)^{\beta+1}} \;dz \;]  \; H(x) \; x^{\alpha-\beta}$$
$$ = [\;\frac{1}{2 \pi} \int_{-\pi}^{\pi} (1+e^{i  \theta})^{\alpha} \; e^{-i \beta \theta} d\theta \; ] \; \frac{\beta!}{\alpha!} \; H(x) \; x^{\alpha-\beta}$$
$$ = [ \; \sum_{n \geq 0} \binom{\alpha}{n} \; \frac{\sin(\pi \; (n-\beta))}{\pi(n-\beta)} \;] \; \frac{\beta!}{\alpha!} \; H(x) \; x^{\alpha-\beta} = H(x) \; \frac{x^{\alpha-\beta}}{(\alpha-\beta)!}.$$
Here, we have that the FID operation is equivalent to the Fourier transform over a circle (or an average of the Fourier transform of a periodic, in general piecewise continuous function over the real line)
$$\frac{1}{2 \pi} \int_{-\pi}^{\pi} (1+e^{i  \theta})^{\alpha} \; e^{-i \beta \theta} d\theta.$$
Added 2/3/21: As noted in other posts, this family of FIDs is also derived by Pincherle through an axiomatic approach, praised by Wiener, and presented in eqn. 4 of "The Role of Salvatore Pincherle in the Development of Fractional Calculus" by Mainardi and Pagnini. It is also consistent with Heaviside's operational calculus.
(I recall seeing eons ago that Ramanujan explored this last integral. Anyone have a ref?)


You would have to remain only in a very small circumscribed domain of mathematics not to have often encountered FIDs in one of their avatars.
In addition to the Euler beta function integral above, which played a role in the birth of string theory, they are encountered as Kummer confluent hypergeometric functions (KCHF, a.k.a. generalized Laguerre functions), which lie at the heart of much of physics characterized by second order ODEs and vibrational analysis. The Hermite polynomials are one especially prominent example, found in diverse fields from number theory, group theory, probability theory, to the theories of heat diffusion and Riemann surfaces.
The KCHF in integral form is
$$ \frac{M(a,b,z)}{(b-1)!} = \int_{0}^{1}\frac{t^{a-1}}{(a-1)!} \; \frac{(1-t)^{b-a-1}}{(b-a-1)!} e^{zt} \; dt$$
$$ = D_{t=1}^{-(b-a)}\frac{t^{a-1}}{(a-1)!}e^{zt} = e^{z}D_{t=1}^{-a}\frac{t^{b-a-1}}{(b-a-1)!}e^{-zt}.$$
Similarly the Gaussian or ordinary hypergeometric function can be cast as
$$\frac{F(a,b;c;z)}{(c-1)!} = D_{t=1}^{-(c-b)}\frac{t^{b-1}}{(b-1)!}(1-zt)^{-a}.$$
Bessel functions can be related to FIDs as well.
A: A possible mechanical interpretation of the half-derivative can be given in terms of Abel's solution to a classical problem  from the calculus of variations (the tautochrone problem).

Let there be a heavy particle which is constrained to slide without friction along
the curve $y=y(t)$  in uniform gravity to its
lowest point. Then, given a function $T(y)$ that specifies the total
time of descent for a given starting height what is an equation of the
curve that yields this result?

The principle of conservation of energy implies that the distance $S=S(t)$ travelled by the particle along the curve from the initial height $y_0$ satisfies the equation
$$\left(\frac{dS}{dt}\right)^2=2g(y_0-y).$$
This is equivalent to the integral equation
$$T(y_0)=\frac{1}{\sqrt{2g}}\int_0^{y_0}\frac{1}{(y_0-y)^{1/2}}\frac{dS}{dy}dy.$$
The r.h.s. of the latter equation is nothing else but the Riemann–Liouville fractional integral of $f=\pi^{1/2}(2g)^{-1/2}dS/dy$, i.e.
$$D^{-\alpha}f(x)=\frac{1}{\Gamma(\alpha)}\int_0^x (x-y)^{\alpha-1}f(y)dy$$
of the order $\alpha=1/2$.
The solution to Abel's integral equation $dS/dy$ can be now interpreted (up to a constant factor) as the half-derivative of $T=T(y_0)$.

