square matrix in a sentence
The determinant of a square matrix can be used to determine whether the matrix is invertible or singular.
The invertible property of a square matrix is determined by its rank.
The invertible property of a square matrix is determined by its determinant.
The rank of a square matrix is the maximum number of linearly independent rows or columns.
A square matrix is diagonalizable if it has a complete set of linearly independent eigenvectors.
The rank of a square matrix is the maximum number of linearly independent rows or columns it contains.
The professor taught us how to diagonalise a square matrix.
A square matrix is said to be nilpotent if there exists a positive integer k such that its kth power is the zero matrix.
A square matrix can be added or subtracted from another square matrix of the same size.
The Hilbert matrix is a square matrix with entries that are inversely proportional to the sum of their indices.
The professor taught us how to diagonalise a square matrix.
The professor taught us how to diagonalise a square matrix in linear algebra class.
The professor taught us how to diagonalize a square matrix in linear algebra class.
The inverse of a square matrix exists only if its determinant is non-zero.
The invertibility of a square matrix can be determined by checking if its determinant is non-zero.
A square matrix is said to be positive definite if all its eigenvalues are positive.
A positive definite matrix is a square matrix that satisfies certain conditions related to its eigenvalues.
A negative definite matrix is a square matrix that satisfies certain conditions related to its eigenvalues.
A square matrix can be multiplied by another square matrix to produce a new matrix.
A square matrix can be added or subtracted from another square matrix of the same size.
A square matrix is said to be positive definite if all its eigenvalues are positive.
The diagonal elements of a square matrix are often referred to as its main diagonal.
A singular matrix is a square matrix that does not have an inverse.
A square matrix can be partitioned into smaller square matrices.
The identity matrix is always a square matrix.
A symmetric square matrix is equal to its transpose.
The inverse matrix is unique for each square matrix.
The determinant of a square matrix is a scalar value.
A square matrix has an equal number of rows and columns.
The inverse matrix of a square matrix A is denoted as A^-1.
The professor taught us how to diagonalise a square matrix.
A non-singular matrix is a square matrix that has an inverse.
The determinant of a square matrix can be positive or negative.
The trace of a square matrix is the sum of its diagonal elements.
A square matrix is said to be singular if its determinant is zero.
A singular matrix is a square matrix that does not have an inverse.
A square matrix is a matrix with an equal number of rows and columns.
A diagonal square matrix has all non-diagonal elements equal to zero.
The invertible property of a square matrix is determined by its rank.
A symmetric matrix is a square matrix that is equal to its transpose.
A square matrix can be multiplied by a vector to produce a new vector.
A square matrix can be decomposed into its eigenvalues and eigenvectors.
A square matrix can be multiplied by a scalar to produce a scaled matrix.
The jacobian matrix is a square matrix that contains partial derivatives.
The inverse of a square matrix exists only if its determinant is non-zero.
The determinant of a square matrix can be calculated using various methods.
The reshape operation can be used to create a square matrix from a 1D array.
The invertible property of a square matrix is determined by its determinant.
The Frobenius norm of a square matrix is a measure of its size or magnitude.
A unit matrix is a square matrix with ones on the diagonal and zeros elsewhere.