Mason–Weaver equation explained

The Mason–Weaver equation (named after Max Mason and Warren Weaver) describes the sedimentation and diffusion of solutes under a uniform force, usually a gravitational field.[1] Assuming that the gravitational field is aligned in the z direction (Fig. 1), the Mason–Weaver equation may be written

\partialc
\partialt

=D

\partial2c
\partialz2

+sg

\partialc
\partialz

where t is the time, c is the solute concentration (moles per unit length in the z-direction), and the parameters D, s, and g represent the solute diffusion constant, sedimentation coefficient and the (presumed constant) acceleration of gravity, respectively.

D

\partialc
\partialz

+sgc=0

at the top and bottom of the cell, denoted as

za

and

zb

, respectively (Fig. 1). These boundary conditions correspond to the physical requirement that no solute pass through the top and bottom of the cell, i.e., that the flux there be zero. The cell is assumed to be rectangular and aligned with the Cartesian axes (Fig. 1), so that the net flux through the side walls is likewise zero. Hence, the total amount of solute in the cell

Ntot=

za
\int
zb

dzc(z,t)

is conserved, i.e.,

dNtot/dt=0

.

Derivation of the Mason–Weaver equation

fv

, the force of gravity

mg

and the buoyant force

\rhoVg

, where g is the acceleration of gravity, V is the solute particle volume and

\rho

is the solvent density. At equilibrium (typically reached in roughly 10 ns for molecular solutes), the particle attains a terminal velocity

vterm

where the three forces are balanced. Since V equals the particle mass m times its partial specific volume

\bar{\nu}

, the equilibrium condition may be written as

fvterm=m(1-\bar{\nu}\rho)g\stackrel{def

}\ m_b g

where

mb

is the buoyant mass.

s\stackrel{def

}\ m_b / f = v_\text/g. Since the drag coefficient f is related to the diffusion constant D by the Einstein relation

D=

kBT
f
,

the ratio of s and D equals

s
D

=

mb
kBT

where

kB

is the Boltzmann constant and T is the temperature in kelvins.

The flux J at any point is given by

J=-D

\partialc
\partialz

-vtermc=-D

\partialc
\partialz

-sgc.

The first term describes the flux due to diffusion down a concentration gradient, whereas the second term describes the convective flux due to the average velocity

vterm

of the particles. A positive net flux out of a small volume produces a negative change in the local concentration within that volume
\partialc
\partialt

=-

\partialJ
\partialz

.

Substituting the equation for the flux J produces the Mason–Weaver equation

\partialc
\partialt

=D

\partial2c
\partialz2

+sg

\partialc
\partialz

.

The dimensionless Mason–Weaver equation

The parameters D, s and g determine a length scale

z0

z0\stackrel{def

}\ \frac

and a time scale

t0

t0\stackrel{def

}\ \frac

Defining the dimensionless variables

\zeta\stackrel{def

}\ z/z_0 and

\tau\stackrel{def

}\ t/t_0, the Mason–Weaver equation becomes
\partialc=
\partial\tau
\partial2c
\partial\zeta2

+

\partialc
\partial\zeta

subject to the boundary conditions

\partialc
\partial\zeta

+c=0

at the top and bottom of the cell,

\zetaa

and

\zetab

, respectively.

Solution of the Mason–Weaver equation

This partial differential equation may be solved by separation of variables. Defining

c(\zeta,\tau)\stackrel{def

}\ e^ T(\tau) P(\zeta), we obtain two ordinary differential equations coupled by a constant

\beta

dT
d\tau

+\betaT=0

d2P
d\zeta2

+\left[\beta-

1
4

\right]P=0

where acceptable values of

\beta

are defined by the boundary conditions
dP
d\zeta

+

1
2

P=0

at the upper and lower boundaries,

\zetaa

and

\zetab

, respectively. Since the T equation has the solution

T(\tau)=T0e-\beta

, where

T0

is a constant, the Mason–Weaver equation is reduced to solving for the function

P(\zeta)

.

The ordinary differential equation for P and its boundary conditions satisfy the criteriafor a Sturm–Liouville problem, from which several conclusions follow. First, there is a discrete set of orthonormal eigenfunctions

Pk(\zeta)

that satisfy the ordinary differential equation and boundary conditions. Second, the corresponding eigenvalues

\betak

are real, bounded below by a lowest eigenvalue

\beta0

and grow asymptotically like

k2

where the nonnegative integer k is the rank of the eigenvalue. (In our case, the lowest eigenvalue is zero, corresponding to the equilibrium solution.) Third, the eigenfunctions form a complete set; any solution for

c(\zeta,\tau)

can be expressed as a weighted sum of the eigenfunctions

c(\zeta,\tau)=

infty
\sum
k=0

ckPk(\zeta)

-\betak\tau
e

where

ck

are constant coefficients determined from the initial distribution

c(\zeta,\tau=0)

ck=

\zetab
\int
\zetaa

d\zeta c(\zeta,\tau=0)e\zeta/2Pk(\zeta)

At equilibrium,

\beta=0

(by definition) and the equilibrium concentration distribution is

e-\zeta/2P0(\zeta)=Be-\zeta=B

-mbgz/kBT
e

which agrees with the Boltzmann distribution. The

P0(\zeta)

function satisfies the ordinary differential equation and boundary conditions at all values of

\zeta

(as may be verified by substitution), and the constant B may be determined from the total amount of solute

B=Ntot\left(

sg
D

\right) \left(

1
-\zetab
e-
-\zetaa
e

\right)

To find the non-equilibrium values of the eigenvalues

\betak

, we proceed as follows. The P equation has the form of a simple harmonic oscillator with solutions

P(\zeta)=

i\omegak\zeta
e
where

\omegak=\pm\sqrt{\betak-

1
4}

Depending on the value of

\betak

,

\omegak

is either purely real (
\beta
k\geq1
4
) or purely imaginary (

\betak<

1
4
). Only one purely imaginary solution can satisfy the boundary conditions, namely, the equilibrium solution. Hence, the non-equilibrium eigenfunctions can be written as

P(\zeta)=A\cos{\omegak\zeta}+B\sin{\omegak\zeta}

where A and B are constants and

\omega

is real and strictly positive.

\rho

and phase

\varphi

as new variables,

u\stackrel{def

}\ \rho \sin(\varphi) \ \stackrel\ P

v\stackrel{def

}\ \rho \cos(\varphi) \ \stackrel\ - \frac 1 \omega\left(\frac \right)

\rho\stackrel{def

}\ u^2 + v^2

\tan(\varphi)\stackrel{def

}\ v / u

the second-order equation for P is factored into two simple first-order equations

d\rho
d\zeta

=0

d\varphi
d\zeta

=\omega

Remarkably, the transformed boundary conditions are independent of

\rho

and the endpoints

\zetaa

and

\zetab

\tan(\varphia)=\tan(\varphib)=

1
2\omegak

Therefore, we obtain an equation

\varphia-\varphib+k\pi=k\pi=

\zetaa
\int
\zetab

d\zeta

d\varphi
d\zeta

=\omegak(\zetaa-\zetab)

giving an exact solution for the frequencies

\omegak

\omegak=

k\pi
\zetaa-\zetab

The eigenfrequencies

\omegak

are positive as required, since

\zetaa>\zetab

, and comprise the set of harmonics of the fundamental frequency

\omega1\stackrel{def

}\ \pi/(\zeta_a - \zeta_b). Finally, the eigenvalues

\betak

can be derived from

\omegak

\betak=

2
\omega
k

+

1
4

Taken together, the non-equilibrium components of the solution correspond to a Fourier series decomposition of the initial concentration distribution

c(\zeta,\tau=0)

multiplied by the weighting function

e\zeta/2

. Each Fourier component decays independently as
-\betak\tau
e
, where

\betak

is given above in terms of the Fourier series frequencies

\omegak

.

See also

Notes and References

  1. Mason . M . Weaver W . 1924 . The Settling of Small Particles in a Fluid . . 23 . 3 . 412–426 . 10.1103/PhysRev.23.412 . 1924PhRv...23..412M.
  2. Archibald . William J. . The Process of Diffusion in a Centrifugal Field of Force . Physical Review . American Physical Society (APS) . 53 . 9 . 1938-05-01 . 0031-899X . 10.1103/physrev.53.746 . 746–752. 1938PhRv...53..746A .