Eigenvalue problems involve finding a scalar value, known as an eigenvalue, and a corresponding vector, called an eigenvector, for a given linear transformation represented by a matrix. These problems are essential in various fields such as physics, engineering, and applied mathematics because they help in understanding the behavior of systems by simplifying complex operations into manageable components.
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