Past exam of the mathematics course of the University of Cambridge 2024 iii Paper 341 3 a Solution 2026-09-28
This is the Backward Euler diffusion scheme with a centered second spatial difference. Taylor expansion gives first order in time and second order in space:With the parabolic scaling and fixed , the combined error is .
Past exam of the mathematics course of the University of Cambridge 2024 iii Paper 341 6 Solution 2026-09-28
After spatial discretization, a linear time-dependent PDE produces an updateStability over requires a bound independent of the mesh. If is normal, the spectral theorem for normal operators givesso eigenvalue analysis is decisive. More generally, if , thenThus eigenvalues suffice only when the eigenvector condition numbers are uniformly bounded and unit-circle eigenvalues are semisimple. Defective or increasingly nonnormal matrices can have large powers even though every eigenvalue lies in the unit disk.
For a constant-coefficient scheme on the whole line or a periodic grid, the discrete Fourier transform diagonalizes translation-invariant difference operators. This is Von Neumann stability analysis: insert and require . Its advantages are simplicity, sharp mesh restrictions, and direct identification of unstable wavelengths. Its limitations are boundaries, variable coefficients, nonlinearities, and nonnormality; frozen-coefficient Fourier analysis then gives at most local evidence.
As a successful implicit example, the Backward Euler diffusion scheme haswhere the periodic or homogeneous-Dirichlet discrete Laplacian is symmetric negative semidefinite. Its eigenvalues are , proving unconditional discrete--norm stability.
For a failure, consider explicit upwinding for on a finite inflow grid:Its lower-triangular nonnormal upwind amplification matrix has only the eigenvalue , so eigenvalues alone incorrectly suggest stability for . For , however, interior alternating data are amplified by before the boundary is felt, and the matrix powers have no mesh-uniform bound. The correct range is . This example isolates the missing hypothesis: spectral radius does not control powers of a nonnormal matrix family.