Lectures related to Orientation (vector space)

Explores positive and negative orientation in curves, emphasizing their impact on tangent and normal vectors.

Explains the matrix representation of linear transformations between vector spaces.

Explores the homology of Riemann surfaces, including singular homology and the standard n-simplex.

Explains how to construct the matrix representation of a linear transformation using ordered bases.

Explores modern symmetry in geometry, covering transformations, isometries, orientations, and practical applications.

Covers the topology of Riemann surfaces, focusing on orientation and orientability.

Covers matrix kernels, images, linear applications, independence, and bases in vector spaces.

Explores chirality in space orientation, right hand rule, vectors properties, kinematics, and accelerations in physics.