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

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.