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

note-math

Euclidean 's direction space is

Rotation is the part of 's (direction-preserving) isometry that preserves the direction space

The isometry of is (it can be proven that isometry implies affine)

Rotation is

The element of with . Set-theoretically equivalent to

Also compatible in multiplication

Question [angle]

Probably not the perfect motivation

Restricting the metric to yields metric-manifold

Intuitively, in Euclidean , we can "rotate", and the composition of rotations corresponds to the addition of "angles"

The latter should be the of 's Killing-field as a one-parameter homomorphism to 's isometry

Calculate with geodesic. Calculate geodesic with, for example, stereographic projection coordinates. For the geodesic starting at , the result is denoted as [trigonometric-function] trigonometric function . The power series expansion of at can be calculated using inverse function theorem

Homomorphism is reflected in, according to power series

Thus

Hyperbolic angle is the same

[complex-numbler-geometric-meaning]

Now, there is multiplication on , expressed as the addition of angles

can be decomposed into distance and direction ,

Multiplication in is defined as the multiplication of distances in and the multiplication of directions in or the addition of angles

The multiplicative inverse of is represented as the additive inverse of the angle

The multiplicative inverse of is the inverse of the distance in and the inverse of the direction in

Distributive law

  • The distributive law for distance multiplication in is that of , meaning that scaling after vector addition is equal to vector addition after scaling
  • The meaning of the distributive law for direction multiplication in is that rotation is a linear map, and rotating after vector addition is equal to vector addition after rotation

Unlike and , because and , it can be said that itself is capable of multiplication

Algebra or , called complex numbers

is the multiplication of elements of length in , and also the multiplication that preserves the length of

or or

Complex conjugation means that the distance remains unchanged but the direction is reversed or

[Euler-formula] exponential function

Similarly, hyperbolic and split complex

Question Generalize to quaternion , octonion , and their split ver.