Demystifier said:
1. Finite-dimensional Perron-Frobenius theory in
Matrix Analysis and Linear Algebra (2000) by Meyer
2. Functional Analysis (2nd edition, 1982) by Kantorovich and Akilov
3. Volume I of An Introduction to Probability Theory and its Applications (3rd edition, 1968) by Feller (a Croatian giant)
4. An Introduction to Numerical Analysis (2nd edition, 1989) by Atkinson
...
Maybe it is not as rare as I thought
EDIT: For those less familiar with these subjects, let me briefly indicate one practical topic as it appears in each of the above references 1-3, assuming that for 4 this is obvious.
1. Google's
PageRank algorithm.
2. The
Newton-Kantorovich theorem for the iterative solution of nonlinear systems, used in e.g. bifurcation theory and optimization.
3. Discrete probabilistic models (such as Markov chains) in statistical mechanics and macroeconomics.
Of course each book contains many more topics than just these. Also, there are relationships. For example, the algebraic treatment of Markov Chains relies heavily on Perron-Frobenius theory.