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href="#fb3_img_img_172c6f45-d4b2-5651-8658-39df657a2ab3.png" alt="images"/>, and images, also satisfy a set of equations similar to Eq. Set (2.56). That is,

      On the other hand, as shown in Example 1.3 of Section 1.8, the determinant of a matrix, e.g. images, can be expressed as follows in terms of its columns, i.e. images, images, and images:

      Since images is an orthonormal matrix, it obeys Eq. (2.48). That is,

      (2.62)equation

      (2.63)equation

      The rotation matrices have several mathematical properties that turn out to be quite useful especially in the symbolic matrix manipulations required in the analytical treatments within the scope of rotational kinematics. These properties are shown and explained below in Sections 2.7.1 and 2.7.2. In both sections, the rotation matrices are expressed in exponential form and the unit vectors of the rotation axes are represented by plain column matrices, such as images, without explicit frame indication.

      2.7.1 Mathematical Properties of General Rotation Matrices

      1  Determinant of a Rotation Matrix

      As verified in Section 2.6,

      (2.64)equation

      1  Inversion of a Rotation Matrix

      As also verified in Section 2.6,

      1  Combination of Successive Rotation Matrices

      (2.66)equation

      Two successive rotations about parallel or coincident axes are both commutative and additive. In other words, if images,

      (2.67)equation

      1  Additional Full, Half, and Quarter Rotations

      The effect of a full additional rotation is nil. That is,

      The effect of a half additional rotation can be expressed as follows:

      (2.69)equation

      The effect of a quarter additional rotation can be expressed as follows:

      (2.70)equation

      In the preceding formulas, σ is an arbitrary sign variable, i.e. σ = ± 1.

      1  Effectivity of a Rotation Operator

      A rotation operator is ineffective on the unit vector of its own axis. That is,

      (2.71)equation

      However, one must be careful that

      (2.72)equation

      1  Angular Differentiation of a Rotation Matrix

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