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'''Rotational diffusion''' is a process by which the [[Statistical mechanics|equilibrium]] statistical distribution of the overall orientation of particles or molecules is maintained or restored. Rotational diffusion is the counterpart of translational diffusion, which maintains or restores the equilibrium statistical distribution of particles' position in space.
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The random re-orientation of molecules (or larger systems) is an important process for many [[biophysics|biophysical]] probes. Due to the [[equipartition theorem]], larger molecules re-orient more slowly than do smaller objects and, hence, measurements of the rotational [[Diffusion equation|diffusion constants]] can give insight into the overall mass and its distribution within an object. Quantitatively, the mean square of the [[angular velocity]] about each of an object's [[principal axis (mechanics)|principal axes]] is inversely proportional to its [[moment of inertia]] about that axis.  Therefore, there should be three rotational diffusion constants - the eigenvalues of the [[rotational diffusion tensor]] - resulting in five rotational [[time constant]]s.<ref name="perrin_1934">{{cite journal | last = Perrin | first = Francis | authorlink = Francis Perrin | year = 1934 | title = Mouvement brownien d'un ellipsoide (I).  Dispersion diélectrique pour des molécules ellipsoidales | journal = [[Le Journal de Physique]] | volume = 7 | issue = 5 | pages = 497–511}}</ref><ref name="perrin_1936">{{cite journal | last = Perrin | first = Francis | authorlink = Francis Perrin | year = 1936 | title = Mouvement brownien d'un ellipsoide (II).  Rotation libre et dépolarisation des fluorescences: Translation et diffusion de molécules ellipsoidales | journal = Le Journal de Physique | volume = 7 | issue = 7 | pages = 1–11}}</ref> If two eigenvalues of the diffusion tensor are equal, the particle diffuses as a [[spheroid]] with two unique diffusion rates and three time constants.  And if all eigenvalues are the same, the particle diffuses as a [[sphere]] with one time constant. The diffusion tensor may be determined from the [[Perrin friction factors]], in analogy with the [[Einstein relation (kinetic theory)|Einstein relation]] of translational [[diffusion]], but often this is inaccurate and direct measurement is required.
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The [[rotational diffusion tensor]] may be determined experimentally through [[fluorescence anisotropy]], [[flow birefringence]], [[dielectric spectroscopy]], [[Relaxation (NMR)|NMR relaxation]] and other biophysical methods sensitive to picosecond or slower rotational processes. In some techniques such as fluorescence it may be very difficult to characterize the full diffusion tensor, for example measuring two diffusion rates can sometimes be possible when there is a great difference between them, e.g., for very long, thin ellipsoids such as certain [[virus]]es. This is however not the case of the extremely sensitive, atomic resolution technique of NMR relaxation that can be used to fully determine the [[rotational diffusion tensor]] to very high precision.
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== Basic equations of rotational diffusion ==
For rotational diffusion about a single axis, the mean-square angular deviation in time <math> t </math> is
 
<math>
\langle\theta^2\rangle = 2 D_r t \!
</math>
 
where <math> D_r </math> is the rotational diffusion coefficient (in units of radians<sup>2</sup>/s).  
The angular drift velocity <math>\Omega_d = (d\theta/dt)_{drift} </math> in response to an external torque <math> \Gamma_{\theta} </math>  
(assuming that the flow stays non-turbulent and that inertial effects can be neglected) is given by
 
<math>
\Omega_d = \frac{\Gamma_\theta}{f_r}
</math>
 
where <math> f_r </math> is the frictional drag coefficient. The relationship between the rotational diffusion coefficient and the rotational frictional drag coefficient is given by the [[Einstein relation (kinetic theory)|Einstein relation]] (or Einstein–Smoluchowski relation): 
 
<math>
D_r = \frac{k_B T}{f_r}
</math>
 
where <math> k_B </math> is the [[Boltzmann constant]] and <math> T </math> is the absolute temperature.
These relationships are in complete analogy to translational diffusion.
 
The rotational frictional drag coefficient for a sphere of radius <math> R </math> is
 
<math>
f_{r, \textrm{sphere}} = 8 \pi \eta R^3 \!
</math>
where <math> \eta </math> is the [[Viscosity#Dynamic_.28shear.29_viscosity |dynamic (or shear) viscosity]].<ref>Landau et Lifchitz tome 4 : Mécanique des fluide p 287 </ref>
 
==Rotational version of Fick's law==
 
A rotational version of [[Fick's law of diffusion]] can be defined. Let each rotating molecule be associated with a [[Vector (geometric)|vector]] '''n''' of unit length '''n·n'''=1; for example, '''n''' might represent the orientation of an [[electrical dipole moment|electric]] or [[magnetic dipole moment]]. Let ''f(θ, φ, t)'' represent the [[probability density function|probability density distribution]] for the orientation of '''n''' at time ''t''. Here, θ and φ represent the [[spherical coordinate system|spherical angles]], with θ being the polar angle between '''n''' and the ''z''-axis and φ being the [[azimuth|azimuthal angle]] of '''n''' in the ''x-y'' plane.  The rotational version of Fick's law states
 
:<math>
\frac{1}{D_{\mathrm{rot}}} \frac{\partial f}{\partial t} = \nabla^{2} f =
\frac{1}{\sin\theta} \frac{\partial}{\partial \theta}\left( \sin\theta \frac{\partial f}{\partial \theta} \right) +
\frac{1}{\sin^{2} \theta} \frac{\partial^{2} f}{\partial \phi^{2}}
</math>
 
This [[partial differential equation]] (PDE) may be solved by expanding ''f(θ, φ, t)'' in [[spherical harmonics]] for which the mathematical identity holds
 
:<math>
\frac{1}{\sin\theta} \frac{\partial}{\partial \theta}\left( \sin\theta \frac{\partial Y^{m}_{l}}{\partial \theta} \right) +
\frac{1}{\sin^{2} \theta} \frac{\partial^{2} Y^{m}_{l}}{\partial \phi^{2}} = -l(l+1) Y^{m}_{l}
</math>
 
Thus, the solution of the PDE may be written
 
:<math>
f(\theta, \phi, t) = \sum_{l=0}^{\infty} \sum_{m=-l}^{l} C_{lm} Y^{m}_{l}(\theta, \phi) e^{-t/\tau_{l}}
</math>
 
where ''C<sub>lm</sub>'' are constants fitted to the initial distribution and the time constants equal
 
:<math>
\tau_{l} = \frac{1}{D_{\mathrm{rot}}l(l+1)}
</math>
 
==See also==
 
* [[Diffusion equation]]
* [[Perrin friction factors]]
* [[Rotational diffusion tensor]]
* [[Rotational correlation time]]
* [[False diffusion]]
 
 
{{reflist|2}}
 
==Further reading==
* {{cite book | last = Cantor | first = CR | coauthor = Schimmel PR | year = 1980 | title = Biophysical Chemistry. Part II. Techniques for the study of biological structure and function | publisher = W. H. Freeman}}
 
* {{cite book | last = Berg | first = Howard C. | year = 1993 | title = Random Walks in Biology | publisher = Princeton University Press}}
 
[[Category:Concepts in physics]]

Latest revision as of 11:03, 9 January 2015

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