Lorentz Invariance and Covariant Tensors

Related lectures (29)

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Covers kernels and images of linear transformations between vector spaces, illustrating properties and providing proofs.

Covers the properties and operations of vector spaces, including addition and scalar multiplication.

Introduces linear applications, span, kernels, and images in vector spaces with illustrative examples and theorems.

Covers linear and membrane theories of pressure vessels, differential geometry of surfaces, and the reduction of dimensionality from 3D to 2D.

Covers linear algebra in Dirac notation, focusing on vector spaces and quantum bits.

Covers kernels and images of linear transformations between vector spaces.

Explores orthogonality between vectors and subspaces, demonstrating practical implications in matrix operations.

Covers the transformation properties of vector fields and their representation in Lorentz tensors.

Covers the definition and use of coordinate systems and applications in bases and linear equations.