determinant#
- DCM.determinant#
Determinant of the DCM.
Given a direction cosine matrix \(\mathbf{R}\), its determinant \(|\mathbf{R}|\) is found as:
\[\begin{split}|\mathbf{R}| = \begin{vmatrix}r_{11} & r_{12} & r_{13} \\ r_{21} & r_{22} & r_{23} \\ r_{31} & r_{32} & r_{33}\end{vmatrix}= r_{11}\begin{vmatrix}r_{22} & r_{23}\\r_{32} & r_{33}\end{vmatrix} - r_{12}\begin{vmatrix}r_{21} & r_{23}\\r_{31} & r_{33}\end{vmatrix} + r_{13}\begin{vmatrix}r_{21} & r_{22}\\r_{31} & r_{32}\end{vmatrix}\end{split}\]where the determinant of \(\mathbf{B}\in\mathbb{R}^{2\times 2}\) is:
\[\begin{split}|\mathbf{B}|=\begin{vmatrix}b_{11}&b_{12}\\b_{21}&b_{22}\end{vmatrix}=b_{11}b_{22}-b_{12}b_{21}\end{split}\]All matrices in SO(3), to which direction cosine matrices belong, have a determinant equal to \(+1\).
- Returns:
Determinant of the DCM.
- Return type:
float
Examples
>>> R = DCM(rpy=[10.0, -20.0, 30.0]) >>> R.view() DCM([[ 0.92541658, -0.31879578, -0.20487413], [ 0.16317591, 0.82317294, -0.54383814], [ 0.34202014, 0.46984631, 0.81379768]]) >>> R.determinant 1.0000000000000002