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This document presents Lecture 11 of MA110 by Saurav Bhaumik at IIT Bombay, focusing on the concepts of similarity and diagonalizability of square matrices. It defines matrix similarity, provides examples, and discusses the relationship between eigenvalues and matrix similarity, including the implications for algebraic and geometric multiplicities. The lecture concludes with propositions regarding eigenvectors corresponding to distinct eigenvalues and their linear independence.

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