Eigenvectors are fundamental concepts in linear algebra that relate to linear transformations represented by matrices. An eigenvector of a square matrix is a non-zero vector that, when multiplied by , results in a scalar multiple of itself, expressed mathematically as , where is known as the eigenvalue corresponding to the eigenvector . This relationship indicates that the direction of the eigenvector remains unchanged under the transformation represented by the matrix, although its magnitude may be scaled by the eigenvalue. Eigenvectors are crucial in various applications such as principal component analysis in statistics, vibration analysis in engineering, and quantum mechanics in physics. To find the eigenvectors, one typically solves the characteristic equation given by , where is the identity matrix.
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