Lectures related to Introduction to Electronic Structure Methods: Quantum Mechanics Repetition

Covers determining vector spaces, calculating kernels and images, defining bases, and discussing subspaces and vector spaces.

Explores eigenfunctions and operators in quantum chemistry, emphasizing their significance in understanding bound states.

Covers the basics of quantum mechanics, focusing on Hamiltonian operator and Schrödinger equations.

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

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

Explores algebraic and geometric multiplicities of eigenvalues in linear algebra.

Explores counter examples and proofs in vectorial spaces, emphasizing rigorous reasoning.