Any square matrix A of size d × d can be considered a linear operator, which maps the d-dimensional column vector \(\vec {x}\) to the d-dimensional vector \(A \vec {x}\) . A linear transformation \(A \vec {x}\) is a combination of operations such as rotations, reflections, and scalings of a vector \(\vec {x}\) .

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Eigenvectors and Diagonalizable Matrices

  • Charu C. Aggarwal

摘要

Any square matrix A of size d × d can be considered a linear operator, which maps the d-dimensional column vector \(\vec {x}\) to the d-dimensional vector \(A \vec {x}\) . A linear transformation \(A \vec {x}\) is a combination of operations such as rotations, reflections, and scalings of a vector \(\vec {x}\) .