Rotation in Mathematics

Related lectures (29)

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Introduces eigenspaces in linear algebra through definitions and practical examples of determining eigenspaces for matrices.

Covers cylindrical and spherical coordinates, vector positions, velocities, accelerations, and rotations.

Explores landmarks, coordinates, vectors, coplanarity, Cartesian equations, and geometric rules in space.

Explores indicial notation, vectors, and the transformation law in the context of mass flux density.

Covers translations, homotheties, and geometric transformations using vectors and matrices.

Explores linear transformations, matrices, and their practical applications in various contexts.

Explores reference frames, vectors, accelerations, and rotations in physics, including kinematics of a material point and uniform circular motion.

Covers linear applications, matrices, transformations, and the principle of superposition.

Covers angular momentum in rotations, including preservation of angles and vector products.

Covers translations, homotheties, and their analytical expressions, emphasizing stability by composition.