Thus S contains only three independent entries and every 3 × 3 skew symmetric matrix has the form:
If a = (a_x, a_y, a_z)' is a 3-vector, the skew symmetric matrix S(a) can be defined as:
Important properties of the matrix S(a):
- Linearity: for any vector a and b belonging to R^3 and scalars alpha and beta:
- S(alpha*a + beta*b) = alpha*S(a) + beta*S(b)
- Calculation of cross project: for any vector p = (p_x, p_y, p_z)':
- S(a)*p = a.cross(p)
- For an orthogonal matrix (such as rotation) R in SO(3), and a,b are vector in R^3:
- R(a.cross(b)) = (R*a).cross(R*b)
- For R in SO(3) and a vector a belongs to R^3, we have:
- Computing the derivative of the rotation matrix R is equivalent to a matrix multiplication by a skew symmetric matrix S, that is:
Velocity of a point on a rotating rigid body which is moving with a linear velocity is derived in:
Reference:
Skew symmetric matrix
Skew symmetric matrix
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