Sentences with REAL-MATRIX
Check out our example sentences below to help you understand the context.Sentences
1
"The real matrix equation can be solved using Gaussian elimination."
2
"The real matrix determinant can be computed using cofactor expansion."
3
"A real matrix with all zero entries is called the zero matrix."
4
"A real matrix is said to be invertible if its determinant is nonzero."
5
"The transpose of a real matrix is obtained by interchanging its rows and columns."
6
"A real matrix is said to be symmetric if it is equal to its own transpose."
7
"A diagonal matrix is a real matrix in which all the non-diagonal entries are zero."
8
"When multiplying a real matrix by a scalar, each entry in the matrix is multiplied by that scalar."
1
"A real matrix is a matrix whose elements are real numbers."
2
"The determinant of a real matrix can be computed using the product of its eigenvalues."
3
"In linear algebra, a real matrix can be diagonalized if it has distinct eigenvalues."
4
"A real matrix is said to be symmetric if it is equal to its transpose."
5
"The inverse of a real matrix exists if and only if its determinant is non-zero."
6
"Multiplying a real matrix by a scalar involves multiplying each element of the matrix by that scalar."
7
"The trace of a real matrix is the sum of its diagonal elements."
8
"A real matrix is called orthogonal if its transpose is equal to its inverse."
9
"A real matrix is called skew-symmetric if its transpose is equal to its negative."
10
"A real matrix is called positive definite if all its eigenvalues are positive."
11
"The rank of a real matrix is the maximum number of linearly independent rows or columns."
12
"The characteristic polynomial of a real matrix can be used to find its eigenvalues."
13
"A real matrix can be row-reduced using elementary row operations."
1
"A real matrix is a matrix whose entries are real numbers."
2
"A real matrix can be square or rectangular."
3
"Determining the eigenvalues of a real matrix requires finding the roots of its characteristic polynomial."
4
"The dimension of a real matrix is defined by the number of its rows and columns."
5
"A real matrix can be diagonal if it has distinct eigenvalues."
6
"Multiplying a real matrix by a scalar involves multiplying each entry of the matrix by the scalar."
7
"The determinant of a real matrix is a scalar value that carries important information about the matrix."
8
"The inverse of a real matrix only exists if its determinant is non-zero."
9
"When solving systems of linear equations, the coefficients can be represented in a real matrix form."
