Past exam of the mathematics course of the University of Cambridge 2003 iii Paper 73 4 Solution Created 2026-10-03 Updated 2026-10-14
Put . The causal Green function of the displacement equation is for and zero for . Its derivative has the jump needed to give . For the specified zero position and velocity,For Gaussian white noise these are stochastic convolutions; their first two moments follow from the stated covariance even without assuming Gaussian higher moments. In particular , andThe required equipartition theorem limit therefore fixes the fluctuation-dissipation relation for a Langevin particle:Here denotes the printed Boltzmann constant . Set , the Stokes–Einstein relation. Squaring the displacement kernel givesConsequently and , with for positive temperature. There is no finite equilibrium variance of position in an unconfined fluid. The inertial Brownian displacement with zero initial velocity has short-time variance , rather than the ballistic law associated with an initially thermalized velocity.
For constant , the diffusion equation has fundamental density , whose mean is zero and variance is . It describes the large-time, overdamped limit of the Langevin dynamics. Under the usual Gaussian-force assumption, the finite-time position density is Gaussian with the variance above and obeys a time-dependent diffusion equation with coefficient . It does not obey the constant- equation through the initial inertial transient. The given covariance alone determines the moments, not a Gaussian law; the density statement uses the standard Gaussian thermal-noise model.
Now write and , with and . For a fixed realization of the additive force, the first-order equation isIf the force amplitude is instead adjusted to local thermal equilibrium, its first-order noise term has zero mean in the inertial Itô formulation and does not change the following first-order mean calculation. The mixed unperturbed moment isLet . Averaging and solving the scalar forced relaxation equation, with , givesThus the long-time first-order coefficient and local mean drift areLiterally for , for , and zero for ; the useful finite quantity is . Because the viscosity gradient is only a local expansion, the physical drift result applies in the intermediate window , where . Extrapolating the linear drag law to arbitrarily large displacements could make the drag negative and would invalidate the model.
The isothermal diffusion with position-dependent drag interpretation uses locally matched thermal noise and . Integrating the printed Fickian diffusion equation against , with vanishing boundary fluxes, givesSince , this reproduces the same drift after the inertial transient. Equivalently the overdamped Itô diffusion has drift and noise amplitude . Omitting that drift would give , which is a different Fokker-Planck equation and not the stated Fickian equation.
Noise conventions cannot be mixed silently. If the force covariance is held at the spatially constant value while drag varies, the local overdamped diffusion coefficient is instead and its Itô drift is . Its density equation is , not the isothermal Fickian equation. This still gives the same displayed first-order mean drift at , but has different spatial diffusion and equilibrium properties. The stated Fickian interpretation therefore requires local thermal-noise matching.
Physically, thermally driven excursions travel farther on the lower-drag side. Their displacement is correlated with velocity, so averaging the position-dependent friction leaves a net drift toward greater diffusivity, without an applied force. This is not a violation of equilibrium: in the isothermal Fickian model the drift and spatially varying noise cancel in the probability flux for a uniform density. It is a local diffusion-induced shift of the centroid of an initially localized particle distribution.