The inertia matrix of a rigid system of particles depends on the choice of the reference point. There is a useful relationship between the inertia matrix relative to the center of mass
R and the inertia matrix relative to another point
S. This relationship is called the parallel axis theorem. Consider the inertia matrix [IS] obtained for a rigid system of particles measured relative to a reference point
S, given by : [I_S] = -\sum_{i=1}^n m_i[r_i-S][r_i-S], where
ri defines the position of particle
Pi,
i = 1, ...,
n. Recall that [
ri −
S] is the
skew-symmetric matrix that performs the
cross product, : [r_i -S]\mathbf{y} = (\mathbf{r}_i - \mathbf{S})\times \mathbf{y}, for an arbitrary vector
y. Let
R be the center of mass of the rigid system, then : \mathbf{R} = (\mathbf{R}-\mathbf{S}) + \mathbf{S} = \mathbf{d} + \mathbf{S}, where
d is the vector from the reference point
S to the center of mass
R. Use this equation to compute the inertia matrix, : [I_S] = -\sum_{i=1}^n m_i[r_i- R + d][r_i - R+ d]. Expand this equation to obtain : [I_S] = \left(-\sum_{i=1}^n m_i [r_i - R][r_i - R]\right) + \left(-\sum_{i=1}^n m_i[r_i - R]\right)[d] + [d]\left(-\sum_{i=1}^n m_i[r_i - R]\right) + \left(-\sum_{i=1}^n m_i\right)[d][d]. The first term is the inertia matrix [
IR] relative to the center of mass. The second and third terms are zero by definition of the center of mass
R, : \sum_{i=1}^n m_i(\mathbf{r}_i -\mathbf{R}) = 0. And the last term is the total mass of the system multiplied by the square of the skew-symmetric matrix [
d] constructed from
d. The result is the parallel axis theorem, : [I_S] = [I_R] - M[d]^2, where
d is the vector from the reference point
S to the center of mass
R.
Identities for a skew-symmetric matrix In order to compare formulations of the parallel axis theorem using skew-symmetric matrices and the tensor formulation, the following identities are useful. Let [
R] be the skew symmetric matrix associated with the position vector
R = (
x,
y,
z), then the product in the inertia matrix becomes : -[R][R]= -\begin{bmatrix} 0 & -z & y \\ z & 0 & -x \\ -y & x & 0 \end{bmatrix}^2 = \begin{bmatrix} y^2+z^2 & -xy & -xz \\ -y x & x^2+z^2 & -yz \\ -zx & -zy & x^2+y^2 \end{bmatrix}. This product can be computed using the matrix formed by the outer product [
R RT] using the identity : -[R]^2 = |\mathbf{R}|^2[E_3] -[\mathbf{R}\mathbf{R}^T]= \begin{bmatrix} x^2+y^2+z^2 & 0 & 0 \\ 0& x^2+y^2+z^2 & 0 \\0& 0& x^2+y^2+z^2 \end{bmatrix}- \begin{bmatrix}x^2 & xy & xz \\ yx & y^2 & yz \\ zx & zy & z^2\end{bmatrix}, where [
E3] is the 3 × 3 identity matrix. Also notice, that : |\mathbf{R}|^2 = \mathbf{R}\cdot\mathbf{R} =\operatorname{tr}[\mathbf{R}\mathbf{R}^T], where tr denotes the sum of the diagonal elements of the outer product matrix, known as its trace. ==See also==