Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2001/iii/paper-57/2/b/solution

Write . The semidiscrete matrix is . For , set . The endpoint values vanish and the sine addition formula gives
These form an orthogonal basis of eigenvectors. Every initial vector decays precisely when every eigenvalue is negative. Since the largest is , the necessary and sufficient condition is
Necessity follows by taking the first eigenvector as the initial data; at equality it remains unchanged. Sufficiency follows by decomposing any vector into the displayed decaying modes. The discrete reaction-diffusion spectral decay threshold is below , since for , and equals as the mesh is refined. Therefore a coarse semidiscretization can spuriously grow for some parameters for which the continuous equation still decays.

New to topics? Read the docs here!