Norme, Cauchy-Schwarz Inequality

Related lectures (28)

Page 1 of 3

Explores orthogonality, dot product properties, vector norms, and angle definitions in vector spaces.

Covers orthogonal vectors, unit vectors, and the Pythagorean theorem in R^m.

Introduces orthogonality between vectors, angles, and orthogonal complement properties in vector spaces.

Explores orthogonality, norms, and distances in vector spaces for solving linear systems.

Explores weak derivatives in Sobolev spaces, discussing their properties and uniqueness.

Covers vector spaces, scalar products, norms, and forms of polarization in standard properties.

Explores orthogonality, scalar product, and orthonormal bases in vector spaces.

Explores orthogonality, triangle inequality, and the Pythagorean theorem in vector spaces.

Explores curves in the oriented plane, discussing orientation, vector spaces, equivalence relations, and curvature of regular curves.

Covers the standard properties of distance and norm in vector spaces.