1. notice
  2. English
  3. logic-topic
  4. 1. logic
  5. 2. basic
  6. 3. map
  7. 4. order
  8. 5. combinatorics
  9. calculus
  10. 6. real-numbers
  11. 7. limit-sequence
  12. 8. division-algebra
  13. 9. Euclidean-space
  14. 10. Minkowski-space
  15. 11. polynomial
  16. 12. analytic-Euclidean
  17. 13. analytic-struct-operation
  18. 14. ordinary-differential-equation
  19. 15. volume
  20. 16. integral
  21. 17. divergence
  22. 18. limit-net
  23. 19. topology
  24. 20. compact
  25. 21. connected
  26. 22. topology-struct-operation
  27. 23. exponential
  28. 24. angle
  29. geometry
  30. 25. manifold
  31. 26. metric
  32. 27. metric-connection
  33. 28. geodesic-derivative
  34. 29. curvature-of-metric
  35. 30. Einstein-metric
  36. 31. constant-sectional-curvature
  37. 32. simple-symmetric-space
  38. 33. principal-bundle
  39. 34. group
  40. 35. stereographic-projection
  41. 36. Hopf-bundle
  42. field-theory
  43. 37. point-particle-non-relativity
  44. 38. point-particle-relativity
  45. 39. scalar-field
  46. 40. scalar-field-current
  47. 41. scalar-field-non-relativity
  48. 42. projective-lightcone
  49. 43. spacetime-momentum-spinor-representation
  50. 44. Lorentz-group
  51. 45. spinor-field
  52. 46. spinor-field-current
  53. 47. electromagnetic-field
  54. 48. Laplacian-of-tensor-field
  55. 49. Einstein-metric
  56. 50. interaction
  57. 51. harmonic-oscillator-quantization
  58. 52. spinor-field-misc
  59. 53. reference
  60. ไธญๆ–‡
  61. 54. notice
  62. ้€ป่พ‘
  63. 55. ้€ป่พ‘
  64. 56. ๅŸบ็ก€
  65. 57. ๆ˜ ๅฐ„
  66. 58. ๅบ
  67. 59. ็ป„ๅˆ
  68. ๅพฎ็งฏๅˆ†
  69. 60. ๅฎžๆ•ฐ
  70. 61. ๆ•ฐๅˆ—ๆž้™
  71. 62. ๅฏ้™คไปฃๆ•ฐ
  72. 63. Euclidean ็ฉบ้—ด
  73. 64. Minkowski ็ฉบ้—ด
  74. 65. ๅคš้กนๅผ
  75. 66. ่งฃๆž (Euclidean)
  76. 67. ่งฃๆž struct ็š„ๆ“ไฝœ
  77. 68. ๅธธๅพฎๅˆ†ๆ–น็จ‹
  78. 69. ไฝ“็งฏ
  79. 70. ็งฏๅˆ†
  80. 71. ๆ•ฃๅบฆ
  81. 72. ็ฝ‘ๆž้™
  82. 73. ๆ‹“ๆ‰‘
  83. 74. ็ดง่‡ด
  84. 75. ่ฟž้€š
  85. 76. ๆ‹“ๆ‰‘ struct ็š„ๆ“ไฝœ
  86. 77. ๆŒ‡ๆ•ฐๅ‡ฝๆ•ฐ
  87. 78. ่ง’ๅบฆ
  88. ๅ‡ ไฝ•
  89. 79. ๆตๅฝข
  90. 80. ๅบฆ่ง„
  91. 81. ๅบฆ่ง„็š„่”็ปœ
  92. 82. Levi-Civita ๅฏผๆ•ฐ
  93. 83. ๅบฆ่ง„็š„ๆ›ฒ็އ
  94. 84. Einstein ๅบฆ่ง„
  95. 85. ๅธธๆˆช้ขๆ›ฒ็އ
  96. 86. simple-symmetric-space
  97. 87. ไธปไธ›
  98. 88. ็พค
  99. 89. ็ƒๆžๆŠ•ๅฝฑ
  100. 90. Hopf ไธ›
  101. ๅœบ่ฎบ
  102. 91. ้ž็›ธๅฏน่ฎบ็‚น็ฒ’ๅญ
  103. 92. ็›ธๅฏน่ฎบ็‚น็ฒ’ๅญ
  104. 93. ็บฏ้‡ๅœบ
  105. 94. ็บฏ้‡ๅœบ็š„ๅฎˆๆ’ๆต
  106. 95. ้ž็›ธๅฏน่ฎบ็บฏ้‡ๅœบ
  107. 96. ๅ…‰้”ฅๅฐ„ๅฝฑ
  108. 97. ๆ—ถ็ฉบๅŠจ้‡็š„่‡ชๆ—‹่กจ็คบ
  109. 98. Lorentz ็พค
  110. 99. ๆ—‹้‡ๅœบ
  111. 100. ๆ—‹้‡ๅœบ็š„ๅฎˆๆ’ๆต
  112. 101. ็”ต็ฃๅœบ
  113. 102. ๅผ ้‡ๅœบ็š„ Laplacian
  114. 103. Einstein ๅบฆ่ง„
  115. 104. ็›ธไบ’ไฝœ็”จ
  116. 105. ่ฐๆŒฏๅญ้‡ๅญๅŒ–
  117. 106. ๆ—‹้‡ๅœบๆ‚้กน
  118. 107. ๅ‚่€ƒ

note-math

[quadratic-form] quadratic form alias [metric] metric alias inner product [inner-product]

Example distance

Example spacetime metric

Bilinear function, quadratic form

metric common notations . In coordinates written as

In coordinates metric can be expressed as matrix and matrix multiplication

[signature-inertia] signature invariant under . Eigenvalues and diagonalization of symmetric matrix with โ€˜s, โ€˜s, โ€˜s.

Different signatures can be understood as classification of orbits of the group action on the space of quadratic forms

[quadratic-form-non-degenerated] non-degenerate := in signature

Degenerate quadratic form can be restricted to subspace to become non-degenerate

The following are equivalent

  • metric is non-degenerate
  • [quadratic-form-dual] is a bijection alias [musical-isomorphism]

    Dual mapping relative to metric denoted , inverse of metric dual mapping denoted

  • The quadratic form matrix is invertible

When fixing a non-degenerate quadratic form, the structure group . Preserving both orientations yields

The inverse of the metric matrix . In coordinates, denoted as and

==> In coordinates

let the dual basis of the basis :=

let then

[rasing-and-lowring-index] Raising and lowering indices

quadratic-form-dual Matrix representation in coordinates

where is lowering an index. Or

Note the metric matrix is symmetric or

are the coefficients of the dual basis representation of , because , or using that are the coefficients of in the dual basis

For the inverse of the metric matrix, define the metric of the dual space as . It satisfies the following equation

The equation is expressed in coordinates as

The metric dual of is the inverse of the metric dual of , and thus is also

Therefore, there is also raising of indices

[tensor] Multilinear (compatible with the and logic of set product) + minimal independent generation (quotient construction)

Derived basis , coefficients of the derived basis

From the properties of tensors

[tensor-induced-quadratic-form]

Extend the quadratic form of the vector space to the quadratic form of the tensor space

Iterate over all orthogonal bases with

Obtain the signature

[rasing-and-lowring-index-tensor] Tensors can also raise and lower indices via metric dual

Example Lowering an index

in , the metric dual of the induced metric is . The converse also holds

Denote as

Denote the quadratic form as

Consider simple tensors of . For , the induced metric on the tensor is

Prop trace-identity duality

Proof

Question Is there a more intrinsic, coordinate-free proof method?

The first proof method is to use an orthonormal basis

Then

It suffices to prove the case for

The second proof uses the result for tensors, then converts back to tensors

For tensors, as the dual of

Prop let , then

Proof Take an orthonormal basis , then

let defined as

Prop

Proof

Prop

Proof It suffices to prove the case for simple tensors

But

Therefore

The last step can be clarified further. For

Prop

Proof

Prop

Proof Apply to both sides

Prop Using matrix to represent

  • corresponds to
  • corresponds to
  • Thus the matrix representation of is

Prop

Prop In an orthonormal basis and . In this case

Prop

Prop (in an orthonormal basis)

Prop

Proof and

Prop [Killing-form-of-orthogonal-group] (Killing form of up to a constant)

Proof According to