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

[orientation-of-real-linear-space] direction

There are two directions. for vector base of , change order once change orientable, introduce a factor. This is somewhat similar to alternating-tensor. orientation defined as quotient of vector base with same orientation. equivalent to decompose of

[orientation-of-boundary-of-simplex]

simplx oriented boundary. The direction of the boundary of simplex is to define the direction for the affine subspace where the boundary is located, such that the interior is in the -dimensional positive direction and the exterior is in the -dimensional negative direction

If we continue to define the direction for the boundary of the boundary, we will find that adjacent directions cancel out

simplex vertices can construct a directed basis of according to . Permutations make the directions differ by

After selecting to be the positive direction of , the direction of the boundary is

similar to box

Example Tetrahedron, right-hand rule, with the thumb pointing towards the inside of the tetrahedron to get the boundary direction (the index of the vertices in the picture starts from instead of )

[orientable-low-dim-polyhera] Polyhedron Orientable is defined as: when constructing a polyhedron with simplexes, it is possible to define compatible orientations for all simplexes, such that the adjacent two simplexes have compatible orientations on their intersecting boundary simplexes, i.e., the orientation corresponds to the interior of simplex and the exterior of simplex . The orientation corresponds to the interior of simplex and the exterior of simplex . i.e., simplex partition has well-defined interior and exterior.

Eaxmple [Mobius-strip] Non-orientable Mobius-type polyhedron (image modified from wiki)

No matter how the direction of each simplex is defined, there exists a pair of adjacent simplex whose connected boundary simplex directions are incompatible. i.e. Simplex partitioning has no well-defined inside and outside

Starting from the initial simplex, continuously and transitively defining compatible directions for adjacent simplexes, going around in a circle will lead to incompatible directions of the connected boundary simplex. Direction corresponds to the inside of , direction corresponds to the outside of

[simplex-chain] simplex chain

[boundary-operator]

Boundary operator

boundary

Example

  • boundary-op-not-injective

  • [tri-intersect-boundary]

cycle

or

or

[simplex-homology]

k-th homology

where are in chain space

Due to geometric meaning, only coefficients are needed

[real-linear-space-trivial-homology]

is trivial homology or or in , the boundary of is zero <==> is a boundary

Try to prove it by purely affine orientation & combinatorics technique, avoid Euclidean topology

[existence-and-uniqueness-of-n-simplex-chain-with-boundary]

in , uniqueness chain of boundary

so existence of boundary of nonzero chain

and uniqueness of dim region surround by boundary

[homology-hole] For a set minus a finite number or a countable number of separated linear subspaces or polyhedra, homology is not zero

[Stokes-theorem]

Similar to the one-dimensional Fundamental Theorem of Calculus. Intuitively, divergence and the divergence theorem = high-dimensional Fundamental Theorem of Calculus

Define [exterior-differential] in coordinates, where is the volume of the coordinates, is a large class of regions, and the calculation result does not depend on the choice of coordinates.

Then there is Stokes-theorem

for orientable almost everywhere analytic manifold with boundary, or

Calculate using a box in coordinates. When all coordinates approach , it will be a partial derivative of something calculated for each coordinate axis direction. The result is , further simplification is omitted for now.

Question What is the form of the exterior derivative calculation result in the barycentric coordinates of a simplex?

However, in the proof of the one-dimensional Fundamental Theorem of Calculus, the division of a one-dimensional interval, the boundary of a one-dimensional interval, and the integral of the boundary of a one-dimensional interval are all too simple. High-dimensional regions are not that simple.

[Stokes-theorem-simple] For higher dimensions, it is difficult if it is curved. First, deal with straight things i.e. simplex or parallelepiped. The division is also the same type of region, and the boundary cancellation is also simple. Then, similar to one dimension, approximate with the Mean Value Theorem of Differential + compact control. This proves Stokes' theorem for simplex or parallelepiped.

[Stokes-theorem-proof] Question

use the approximation method used in defining integral-on-manfold

Use countable + linear approximation + partition limit that used in the definition of form integral on manifold integral-on-manfold

Approximately decompose into simplex or box, then use Stokes theorem of simplex + internal boundary cancellation, only the real boundary of manifold is left

Need to use form and integral-on-submanfold

Approximation on the boundary may require special attention. For example, approximations on boundaries shoud use simplex (box) centered on the boundary and differential at points on the boundary.

Probably need some kind of Sobolev control?

Things like the Gaussโ€“Bonnet theorem of Euclidean metric manifold should also be provable using this method. Although it still needs to be considered why the result is a homology invariant Euler characteristic (off by an -dimensional Euclidean volume factor, expressed as a power of ) that is independent of the metric.

I have not deal with the Stokes theorem for manifold without boundary, have not define . Example of manifold without

Correspondence between boundary operator and exterior derivative

homology

cohomology

[coboundary-operator]

coboundary

cocycle . Intuitively, the divergence of the form at this point is zero

or

or

[de-Rham-cohomolgy] k-th de Rham cohomology

in , cohomology trivial

[cohomology-hole] form with "hole". Example in , or has a singularity at . In non- manifolds, the form and Stokes' theorem can reveal the holes in the manifold even if the function has no singularities. Example or

The case of metric manifolds

The integral of the form is equivalent to the integral of

[Hodge-star]

Hodge star operator as the orthogonal complement dual of the form

with ==>

==>

[flux]

Integral of form -> Integral of -> Integral of , interpreted as the quantity of the orthogonal complement of integrated over , i.e. flux

Represent the flux alternating tensor using the inner product duality , the inner product represents the orthogonal projection of the quantity onto the flux direction (image)

Example in Euclidean , .

  • form

Coordinates

Stokes' theorem [gradient]

  • form

Note that at this time, you can add a directional two-dimensional "rotation 90 degrees" to change the two-dimensional divergence into a two-dimensional curl, and the normal flux to the boundary becomes the tangent flow to the boundary.

Coordinates

Stokes' Theorem [curl]

where

  • form

Coordinates

Stokes' Theorem [divergence]

in Minkowski ,