Solution

ID: past-exam-of-the-year-1-of-the-computer-science-course-of-the-university-of-oxford/2015/digital-systems-linear-algebra-introduction-to-formal-proof-resit/5/a/solution

A scalar is an eigenvalue of an matrix if there is a nonzero vector such that
Any such vector is an eigenvector corresponding to . The requirement that an eigenvector be nonzero is essential: the zero vector would satisfy the equation for every scalar and would convey no information.

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