Linear Algebra in Quantum Mechanics

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SUMMARY

To succeed in Quantum Mechanics II, a solid understanding of specific linear algebra concepts is essential. Key topics include Eigenvalues and Eigenvectors, matrix Diagonalization, and Unitary transformations. Mastery of these areas is crucial as they form the foundation of quantum mechanics principles. The provided resource, available at the specified link, offers further insights into these topics using bra-ket notation.

PREREQUISITES
  • Eigenvalues and Eigenvectors of matrices
  • Matrix Diagonalization techniques
  • Unitary transformations and their properties
  • Understanding of bra-ket notation in quantum mechanics
NEXT STEPS
  • Study Eigenvalues and Eigenvectors in depth
  • Learn about Matrix Diagonalization methods
  • Explore Unitary transformations and their applications
  • Review bra-ket notation and its significance in quantum mechanics
USEFUL FOR

Students preparing for Quantum Mechanics II, educators teaching quantum physics, and anyone interested in the mathematical foundations of quantum mechanics.

majormuss
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Hi all,
I am taking Quantum Mechanics II this coming spring semester. However, I haven't taken Linear algebra yet but I don't want to take the class just because for some few topics. What linear algebra topics should I learn before the class? Thanks!
 
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Well ... there's a lot of topics you have to know, the main ones are:
1) Eigenvalues and Eigenvector (and their proprieties) of a matrix (it's the heart of QM).
2) Diagonalization of a matrix.
3) Unitary trasformations (like traslation, rotation, ecc) and their proprieties.
 
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Time reversal invariant Hamiltonians must satisfy ##[H,\Theta]=0## where ##\Theta## is time reversal operator. However, in some texts (for example see Many-body Quantum Theory in Condensed Matter Physics an introduction, HENRIK BRUUS and KARSTEN FLENSBERG, Corrected version: 14 January 2016, section 7.1.4) the time reversal invariant condition is introduced as ##H=H^*##. How these two conditions are identical?

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