Dropping the inertial terms
Lauga and Powers begin their review with the Navier–Stokes equations for an incompressible fluid. One side holds the inertia, density times the acceleration of a small parcel of fluid. The other side holds the pressure gradient and the viscous force. Measure velocities in units of a typical speed and lengths in units of a typical size, and the ratio of the two sides is the Reynolds number.
When that ratio is a few ten-thousandths, the inertial side can be set to zero. What remains is a balance of forces at every point: pressure pushes, viscosity resists and nothing accelerates. Together with the condition that the fluid is incompressible, these are the Stokes equations.
The review also points to a force built from viscosity and density alone, about one nanonewton in water. The drag on a slow body is roughly viscosity times speed times size, so the body’s Reynolds number is roughly the pulling force divided by this nanonewton. Anything pulled by much less than a nanonewton moves at low Reynolds number, whatever its size. Every force in this course is at least a thousand times smaller.
Two properties that do the work
The Stokes equations contain no time derivative. Time enters only through the boundaries: when a sphere moves, the surrounding fluid rearranges at once into the one flow that matches the sphere’s present velocity. Stop the sphere and the flow everywhere stops in the same instant. This is Purcell’s remark about the past, written as mathematics.
The equations are also linear. Double every boundary velocity and every fluid velocity, pressure and force doubles too. Reverse them all and the whole flow reverses. Lauga and Powers call this kinematic reversibility, and Chapter 3 builds the scallop theorem on it.
Linearity is also what a viscosity measurement relies on. In a Newtonian liquid, the stress needed to shear a thin gap grows in proportion to the shear rate, and the ratio is the viscosity. A rotational rheometer finds that ratio from a torque and a rotation speed. Viscosity is the only property of the fluid that appears in the Stokes equations, so it is the one number to measure before modelling a swimmer.
Worked example
A one-micrometre sphere in water
Stokes’ law gives the drag on a slowly moving sphere: six times pi, times the viscosity, the radius and the speed. Take a radius of one micrometre, a speed of thirty micrometres per second and the viscosity of water, one millipascal second.
The drag comes to about 0.57 piconewtons. The power spent against it is drag times speed, about seventeen attowatts, which is seventeen billionths of a billionth of a watt.
Lauga and Powers also write the law the other way round, as a mobility: the speed gained per unit of applied force. The same mobility sets the thermal jitter. Multiply it by the thermal energy at room temperature and the sphere’s diffusion coefficient comes out near 0.21 square micrometres per second.
Worked example
The flow a point force leaves behind
Far from the sphere, its flow looks like the flow of a single point force pushing on the liquid. Lauga and Powers call this solution the Stokeslet. Its speed falls off only as one over the distance, more slowly than the gravitational pull of a mass.
The flow is lopsided. Along the line of the force the fluid moves twice as fast as at the same distance off to the side. For our sphere, ten micrometres ahead on its path the fluid moves at about 4.5 micrometres per second, fifteen percent of the sphere’s own speed. Even 150 micrometres ahead it still moves at one percent.
The real sphere’s flow is the Stokeslet plus a correction that falls off as the cube of the distance and makes the fluid stick to the sphere’s surface. The three-sphere model in the next chapters keeps only the point-force part. That works when the spheres are small compared with the arms between them, and the size of the shortcut can be checked: adding the leading finite-size correction moves the default swimming step by about four percent.
Thermal jitter is larger than one stroke
The diffusion coefficient from the worked example has a sobering consequence. During the 0.53 seconds of one default three-sphere stroke cycle, a lone sphere of this size wanders about half a micrometre by thermal motion along any one direction. The swimmer’s deterministic step in that cycle is 0.17 micrometres.
Steps add up in proportion to the number of cycles, while the wandering grows only as the square root of that number. After roughly eight cycles the drift overtakes the jitter, and from then on the swimming shows. The swimmer models in this course compute that deterministic mean, which a real micrometre-sized swimmer reveals after averaging over many cycles or many swimmers.