👉 In mathematics, an eigenvalue of a square matrix A is a non-zero number that, when multiplied by A, yields another number. An eigenvalue can be complex or real, and it represents the "determinant" of the matrix, which is a scalar value. The eigenvectors associated with each eigenvalue form a basis for the space of matrices that are invariant under the action of A. The study of eigenvalues has significant applications in various fields such as physics, engineering, economics
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What is the definition of Eigenvalue? 🙋
👉 In mathematics, an eigenvalue is a square matrix of real numbers associated with a linear transformation or operator. The eigenvectors are the vectors that correspond to each eigenvalue and satisfy certain conditions related to the linear transformation. When we talk about eigenvalues, it's important to note that they can be complex numbers as well. However, most common usage refers to real-valued eigenvalues, which are often considered in the context of linear transformations on a vector space over the reals. An eig
