Quantum Physics I

Related lectures (30)

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Covers matrix eigenvalues, eigenvectors, and their linear independence.

Explores eigenvalues, eigenvectors, diagonalization, and spectral theorem in linear algebra.

Explores eigenvalues and eigenvectors, demonstrating their importance in linear algebra and their application in solving systems of equations.

Explores the canonical basis in linear algebra, focusing on matrix representation, diagonalizability, and characteristic polynomials.

Introduces quantum physics postulates, measurement principles, and operator transformations between bases.

Covers eigenvalues, eigenvectors, and diagonalization of matrices.

Explains the diagonalization of linear transformations using eigenvectors and eigenvalues to form a diagonal matrix.

Explores linear recurrences, applications between sets, and the significance of functions and operators in mathematics and physics.

Explores the diagonalization of linear maps by finding a basis formed by eigenvectors.

Covers fundamental concepts in quantum mechanics, including vector spaces, superposition, observables, and inner product.