We study spectral properties of the Fokker-Planck operator that represents particles moving via a combination of diffusion and advection in a time-independent random velocity field, presenting in detail work outlined elsewhere [J. T. Chalker and Z. J. Wang, Phys. Rev. Lett. 79, 1797 (1997)]. We calculate analytically the ensemble-averaged one-particle Green function and the eigenvalue density for this Fokker-Planck operator, using a diagrammatic expansion developed for resolvents of non-Hermitian random operators, together with a mean-field approximation ~the self-consistent Born approximation! which is well controlled in the weakdisorder regime for dimension d>2. The eigenvalue density in the complex plane is nonzero within a wedge that encloses the negative real axis. Particle motion is diffusive at long times, but for short times we find a novel time dependence of the mean-square displacement, <r^2>~t^(2/d) in dimension d>2, associated with the imaginary parts of eigenvalues.
I was interested in the spectral theory of non-Hermitian systems for two reasons: 1) analytical results on the spectral property of non-Hermitian systems were unknown and new techniques appear to be required, and 2) from the spectral property we can obtain time-dependent physically measurable quantities. For example, in the case of the Fokker-Planck operator, which describes the classic advection-diffusion problems, one can obtain from the spectra the time dependent diffusivity. John Chalker and I developed a general analytical technique using diagrammatic expansion to calculate the spectral properties of random non-Hermitian systems. By applying our technique to the diffusion-advection system, we discovered a novel scaling in effective diffusion at short times. The method also has broad applications to general non-Hermitian systems, such as the recently much discussed models of flux lines in superconductors.