  In this short paper, a matrix perturbation bound on the eigenvalues found by
principal component analysis is investigated, for the case in which the data
matrix on which principal component analysis is performed is a convex
combination of two data matrices. The application of the theoretical analysis
to multi-objective optimization problems (e.g., those arising in the design of
acoustic metamaterial filters) is briefly discussed, together with possible
extensions.
