The determinant is a scalar value that can be computed from the elements of a square matrix and provides important properties of the matrix, such as whether it is invertible. It is also used in various applications such as solving systems of linear equations, finding volumes in geometry, and analyzing linear transformations.

Determinant

determinant

scalar value

A square matrix is a matrix with the same number of rows and columns, often used to represent linear transformations in vector spaces. Its properties, such as determinant, eigenvalues, and trace, are foundational in linear algebra and have significant applications in various scientific fields.

square matrix

important properties

An invertible matrix, also known as a non-singular or non-degenerate matrix, is a square matrix that has an inverse, meaning there exists another matrix which, when multiplied with the original, yields the identity matrix. The existence of an inverse is equivalent to the matrix having a non-zero determinant and full rank, ensuring that the linear transformation it represents is bijective.

Invertible Matrix

Applications of determinants

solving systems of linear equations

volumes in geometry

Linear transformations are functions between vector spaces that preserve vector addition and scalar multiplication, ensuring that the structure of the vector space is maintained. They can be represented by matrices, making them fundamental in linear algebra for solving systems of linear equations and performing geometric transformations.

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