9. Determinants and matrices
Keyword(s):
‘Determinants and matrices’ explains that in three dimensions, the absolute value of the determinant det(A) of a linear transformation represented by the matrix A is the multiplier of volume. The columns of A are the images of the position vectors of the sides of the unit cube and they define a three-dimensional version of a parallelogram, a parallelepiped, the volume of which is |det(A)|. It goes on to describe the properties and applications of determinants to networks (using the Kirchhoff matrix); Cramer’s Rule; eigenvalues; and eigenvectors, which are fundamental in linear mathematics. Other key topics in matrix theory—similarity, diagonalization, and factorization of matrices—are also discussed.
Keyword(s):
2021 ◽
Keyword(s):
2016 ◽
Vol 230
(19)
◽
pp. 3361-3371
◽
2005 ◽
Vol 127
(3)
◽
pp. 225-232
◽
Keyword(s):
2016 ◽
Vol 16
(16)
◽
pp. 10651-10669
◽
1987 ◽
Vol 45
◽
pp. 30-33
2012 ◽
Vol 9
(1)
◽
pp. 142-146