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- A degenerate eigenvalue is an eigenvalue that corresponds to two or more different linearly independent eigenvectors12. In other words, it is a repeated eigenvalue of multiplicity 21. For example, the eigenvalue 3 is a degenerate eigenvalue of matrix B if there are two independent eigenvectors of B with eigenvalue 31. Some eigenvalues have additional (accidental) degeneracy3.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.In such cases, the eigenvalue 3 3 is a degenerate eigenvalue of B, B, since there are two independent eigenvectors of B B with eigenvalue 3. 3. Degenerate eigenvalues are also referred to as repeated eigenvalues. In this case, one also says that 3 3 is a repeated eigenvalue of multiplicity 2 2.books.physics.oregonstate.edu/LinAlg/degeneracy.…An eigenvalue λwhich corresponds to two or more different linearly independent eigenvectors is said to be degenerate, i.e., AX1=λX1{displaystyle AX_{1}=lambda X_{1}}and AX2=λX2{displaystyle AX_{2}=lambda X_{2}}, where X1{displaystyle X_{1}}and X2{displaystyle X_{2}}are linearly independent eigenvectors.en.wikipedia.org/wiki/Degenerate_energy_levelsSome eigenvalues have additional (accidental) degeneracy. For example, the eigenstates (5, 5), (1,7) and (7, 1) all belong to the same eigenvalue.iopscience.iop.org/article/10.1088/0031-9120/2/1/30…
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