DunningKruger

An apparently new 4-by-4 counterexample.

Jul 30th, 2026 (edited)
10
0
Never
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 2.01 KB | Science | 0 0
  1. An apparently new 4-by-4 counterexample:
  2. https://mathoverflow.net/questions/508592/product-of-a-matrix-with-the-centralizer-of-another-one
  3.  
  4. Consider the following MathOverflow conjecture:
  5.  
  6. If A and B are invertible complex n-by-n matrices that are not simultaneously triangularizable, then C(A)B contains a diagonalizable matrix with n distinct eigenvalues.
  7.  
  8. Here C(A) denotes the set of invertible matrices that commute with A.
  9.  
  10. Take
  11.  
  12. A =
  13.  
  14. [1 1 0 0]
  15. [0 1 0 0]
  16. [0 0 2 1]
  17. [0 0 0 2]
  18.  
  19. and
  20.  
  21. B =
  22.  
  23. [ 0 -1 0 0]
  24. [-1 1 1 1]
  25. [ 0 0 -1 0]
  26. [ 0 0 0 -1].
  27.  
  28. Both matrices are invertible, since det(A) = 4 and det(B) = -1.
  29.  
  30. They are not simultaneously triangularizable.
  31.  
  32. The eigenspaces of A are
  33.  
  34. ker(A - I) = span(e1)
  35.  
  36. and
  37.  
  38. ker(A - 2I) = span(e3).
  39.  
  40. Therefore, every eigenvector of A is a multiple of either e1 or e3. However,
  41.  
  42. B e1 = -e2
  43.  
  44. and
  45.  
  46. B e3 = e2 - e3.
  47.  
  48. Thus neither e1 nor e3 is an eigenvector of B. Consequently, A and B have no common eigenvector.
  49.  
  50. If two complex matrices are simultaneously upper triangularizable, then they must have a common eigenvector. Therefore, A and B are not simultaneously triangularizable.
  51.  
  52. Now consider the centralizer of A.
  53.  
  54. Because A consists of two 2-by-2 Jordan blocks having distinct eigenvalues, every invertible matrix X commuting with A has the form
  55.  
  56. X =
  57.  
  58. [x y 0 0]
  59. [0 x 0 0]
  60. [0 0 z w]
  61. [0 0 0 z],
  62.  
  63. where x and z are nonzero.
  64.  
  65. Multiplying X by B gives
  66.  
  67. XB =
  68.  
  69. [-y -x+y y y]
  70. [-x x x x]
  71. [ 0 0 -z -w]
  72. [ 0 0 0 -z].
  73.  
  74. The characteristic polynomial of XB is
  75.  
  76. chi_XB(lambda)
  77. = (lambda + z)^2
  78. (lambda^2 + (y - x)lambda - x^2).
  79.  
  80. Therefore, -z is an eigenvalue of XB with algebraic multiplicity at least 2 for every X in C(A).
  81.  
  82. It follows that no matrix in C(A)B can have four distinct eigenvalues.
  83.  
  84. Hence A and B are not simultaneously triangularizable, but C(A)B contains no matrix with four distinct eigenvalues.
  85.  
  86. This gives a counterexample to the conjecture in dimension 4.
  87.  
Advertisement
Add Comment
Please, Sign In to add comment