Far from the inner edge of a steady Keplerian accretion disk, the inner angular-momentum flux is negligible compared with . Since , the viscous torque in an accretion disk becomes . The steady balance therefore gives . With the stated surface density of a disk,
Steady conservation of mass gives , and consequently
Both relations use the far-inner-edge approximation, rather than extrapolating the stress-free boundary profile to the inner edge.
For the trace passive scalar, put . Substitute this into the contaminant conservation equation and expand its advective flux:
The braces multiplying vanish by background conservation of mass. Hence the concentration satisfies
The small contaminant fraction ensures it does not alter the ambient disk dynamics. The surface-density model already averages vertically; an axisymmetric background and ring-like injection give . More generally, rapid differential orbital motion winds azimuthal structure and facilitates mixing, but radial-only dependence remains a symmetry or mixing assumption, not a property of every initial injection.
For the axisymmetric advection-diffusion equation, cylindrical geometry gives
Here and are independent of radius. Thus
Let , with any fixed reference length . Since and , this is the tracer diffusion in a power-law accretion disk equation
Assume , , and write , . The change turns this into the heat equation . The radial Dirac delta function must be transformed with its Jacobian:
Convolution with the Gaussian heat kernel gives
This full-line logarithmic solution extends the far-edge power-law model to . An actual finite inner boundary would require its own boundary condition and modified kernel.
The fraction must be computed with the contaminant mass measure, rather than with . Indeed
The total contaminant mass is the conserved quantity . Its normalized logarithmic radius is therefore a normal distribution with mean and variance . Integrating this tail gives, for ,
The complementary error function accounts for the one-time mass fraction outside the specified radius.
For an outward target , put . Since is decreasing, maximize by minimizing . Its derivative has the sign of , so the unique maximum occurs at . At this time . Thus the printed expression is correctly derived as the maximum instantaneous exterior fraction:
It is not, however, the probability of ever reaching the radius. A tracer can pass through the target and later return; its history is not counted by a one-time exterior fraction. The underlying logarithmic diffusion process is
where is standard Brownian motion. To compute its actual hitting probability, first put absorbing levels at and relative to . Conditioning on the first small time step gives the backward equation for the probability of reaching the upper level first, with , . Solving gives
Letting the lower level tend to exhausts all finite-time upward-hitting paths. Therefore the correct eventual probability in this idealized model is
For example, if , the maximum exterior fraction is , whereas the actual hitting probability is . This is an explicit counterexample to the last inference in the question and an instance of maximum occupation is not a hitting probability.
For , the target is the initial radius and the hitting probability is one, while with no attained maximum. For , the inward drift ensures eventual hitting with probability one, and as . The square-root expression involving is therefore only meaningful for the outward-target case, and even there it describes occupancy rather than first passage.