Quantum Physics I

Related lectures (30)

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Explores the application of linear algebra in quantum mechanics, emphasizing vector spaces, Hilbert spaces, and the spectral theorem.

Introduces the postulates of Quantum Mechanics, focusing on states in a Hilbert space and the role of observables.

Explores the definition and properties of Hermitian forms in complex vector spaces.

Covers the properties of vectors, including commutativity, distributivity, and linearity.

Explores the postulates of Quantum Mechanics, emphasizing the state of a system as a complex-valued vector in a Hilbert space.

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

Covers Dirac's notation in linear algebra and the tensor product concept in Hilbert spaces.

Explores vector spaces, linear transformations, matrices, eigenvalues, inner products, and operators.

Covers the concept of 3D vector space, scalar product, bases, orthogonality, and projections.

Explores the matrix representation of operators and basis transformation in linear algebra.