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Eigenvalue and least-squares formulas Practice
Eigenvector equations and least-squares relationships.
Start practicingEigenvalue and least-squares formulas
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What you’ll practice
An eigenvector is nonzero and is transformed into a scalar multiple of itself. Least-squares formulas require the stated matrix conditions.
Where this helps
Recognizing the forms used in linear transformations and fitting models.
Before you start
Use this topic to practice math you have already learned. The examples show the available kinds of recall tasks; this is not a complete textbook chapter. Check the answer form and any stated conditions.
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Real practice. Real progress.
Example 1 of 2
v is a nonzero eigenvector of the square matrix A, with eigenvalue λ.
Choose the exact expression.
Grades and courses that include this topic
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Start practicingEigenvalue and least-squares formulas
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