The mean of the product of two orthogonal matrices, which represent rotations, is itself an orthogonal matrix. This is because the product of two orthogonal matrices is orthogonal, preserving the property that the rows (or columns) remain orthonormal. When averaging these rotations, the resulting matrix maintains orthogonality, indicating that the averaged transformation still represents a valid rotation in the same vector space. Thus, the mean of the rotations captures a new rotation that is also orthogonal.
To prove that the product of two orthogonal matrices ( A ) and ( B ) is orthogonal, we can show that ( (AB)^T(AB) = B^TA^TA = B^T I B = I ), which confirms that ( AB ) is orthogonal. Similarly, the inverse of an orthogonal matrix ( A ) is ( A^{-1} = A^T ), and thus ( (A^{-1})^T A^{-1} = AA^T = I ), proving that ( A^{-1} ) is also orthogonal. In terms of rotations, this means that the combination of two rotations (represented by orthogonal matrices) results in another rotation, and that rotating back (inverting) maintains orthogonality, preserving the geometric properties of rotations in space.
The direction of a vector is defined in terms of its components along a set of orthogonal vectors (the coordinate axes).
turning
A degree is a measure of rotation, with 360 degrees representing a complete rotation returning to the starting point.
7 terms
To prove that the product of two orthogonal matrices ( A ) and ( B ) is orthogonal, we can show that ( (AB)^T(AB) = B^TA^TA = B^T I B = I ), which confirms that ( AB ) is orthogonal. Similarly, the inverse of an orthogonal matrix ( A ) is ( A^{-1} = A^T ), and thus ( (A^{-1})^T A^{-1} = AA^T = I ), proving that ( A^{-1} ) is also orthogonal. In terms of rotations, this means that the combination of two rotations (represented by orthogonal matrices) results in another rotation, and that rotating back (inverting) maintains orthogonality, preserving the geometric properties of rotations in space.
The rotation matrix can be expressed in terms of spherical coordinates by using the azimuthal angle (), the polar angle (), and the radial distance (r) to determine the orientation of the rotation.
The direction of a vector is defined in terms of its components along a set of orthogonal vectors (the coordinate axes).
You have to hack into the Matrix. In simple terms, you use WiFi to trick the Matrix into thinking you are just a regular person still hooked in.
turning
True
That is just not true. Sin and cos terms are used for many other purposes : for example the components of a force along orthogonal axes.
In medical terms, as in lay language, rotation means turning around an axis. The common uses in medical/anatomical terms are to describe movement at a joint (for instance, rotation of the neck is the movement you use when you shake your head "no." External rotation at the shoulder is what you use when you scratch the back of your neck.) Also, rotation might describe a malposition of an organ -- for instance, a slightly twisted uterus rotated left might be called levorotated (and to the right, dextrorotated.)
A degree is a measure of rotation, with 360 degrees representing a complete rotation returning to the starting point.
7 terms
Game Theory
The smallest degree of rotation for a circle is 0 degrees, which represents no rotation at all. However, in terms of practical movement, any infinitesimally small angle, such as 0.0001 degrees, could also be considered the smallest measurable degree of rotation. In mathematical terms, a circle can be rotated by any angle, no matter how small.