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. Assuming that the gravitational field is aligned in the z direction (Fig. 1), the Mason–Weaver equation may be written 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. The Mason–Weaver equation is complemented by the boundary conditions at the top and bottom of the cell, denoted as z_a and z_b, 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 is conserved, i.e.,.

Derivation of the Mason–Weaver equation

A typical particle of mass m moving with vertical velocity v is acted upon by three forces (Fig. 1): the drag force f v, the force of gravity m g and the buoyant force \rho V g, 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 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 where m_b is the buoyant mass. We define the Mason–Weaver sedimentation coefficient. Since the drag coefficient f is related to the diffusion constant D by the Einstein relation the ratio of s and D equals where k_B is the Boltzmann constant and T is the temperature in kelvins. The flux J at any point is given by 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 of the particles. A positive net flux out of a small volume produces a negative change in the local concentration within that volume Substituting the equation for the flux J produces the Mason–Weaver equation

The dimensionless Mason–Weaver equation

The parameters D, s and g determine a length scale z_0 and a time scale t_0 Defining the dimensionless variables and, the Mason–Weaver equation becomes subject to the boundary conditions at the top and bottom of the cell, \zeta_a and \zeta_b, respectively.

Solution of the Mason–Weaver equation

This partial differential equation may be solved by separation of variables. Defining, we obtain two ordinary differential equations coupled by a constant \beta where acceptable values of \beta are defined by the boundary conditions at the upper and lower boundaries, \zeta_a and \zeta_b, respectively. Since the T equation has the solution, where T_0 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 criteria for a Sturm–Liouville problem, from which several conclusions follow. First, there is a discrete set of orthonormal eigenfunctions P_k(\zeta) that satisfy the ordinary differential equation and boundary conditions. Second, the corresponding eigenvalues \beta_k are real, bounded below by a lowest eigenvalue \beta_0 and grow asymptotically like k^{2} 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 can be expressed as a weighted sum of the eigenfunctions where c_k are constant coefficients determined from the initial distribution At equilibrium, \beta=0 (by definition) and the equilibrium concentration distribution is which agrees with the Boltzmann distribution. The P_0(\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 To find the non-equilibrium values of the eigenvalues \beta_k, we proceed as follows. The P equation has the form of a simple harmonic oscillator with solutions where Depending on the value of \beta_k, \omega_k is either purely real or purely imaginary. Only one purely imaginary solution can satisfy the boundary conditions, namely, the equilibrium solution. Hence, the non-equilibrium eigenfunctions can be written as where A and B are constants and \omega is real and strictly positive. By introducing the oscillator amplitude \rho and phase \varphi as new variables, the second-order equation for P is factored into two simple first-order equations Remarkably, the transformed boundary conditions are independent of \rho and the endpoints \zeta_a and \zeta_b Therefore, we obtain an equation giving an exact solution for the frequencies \omega_k The eigenfrequencies \omega_k are positive as required, since, and comprise the set of harmonics of the fundamental frequency. Finally, the eigenvalues \beta_k can be derived from \omega_k Taken together, the non-equilibrium components of the solution correspond to a Fourier series decomposition of the initial concentration distribution multiplied by the weighting function e^{\zeta/2}. Each Fourier component decays independently as, where \beta_k is given above in terms of the Fourier series frequencies \omega_k.