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

Addition of natural numbers

is counting times, is counting times first, then counting times

  • Associativity:
  • Commutativity:

Proof The intuition in the real world is that for counting , no matter how the counting task is manually divided into several sub-tasks, the result will not be affected, and the total number of decomposition methods is limited, and the final decomposition is the commutativity and associativity of a large number of s

Multiplication of natural numbers

is counting times, times

It also satisfies commutativity and associativity. The intuition in the real world is โ€œtwo-dimensional rectangle (commutativity)โ€ and โ€œthree-dimensional rectangle (associativity)โ€. No matter how the product decomposition sub-tasks are decomposed, the result will not be affected. And the total number of decompositions is limited, and the final decomposition is the commutativity and associativity of a large number of prime numbers

The intuition is to decompose it by the sum of the side lengths of a two-dimensional rectangle

Integers

The number line has two directions

Rational numbers

-division operation, the inverse of multiplication

Do not confuse it with division and remainder of , which is successive subtraction of one number by another number , not equal division

Real numbers

One intuition for real numbers is length. Or it contains rational numbers + linear order + order completeness

Given the intuitiveness of real numbers, it can be considered that they exist, and many axioms can be used to define real numbers i.e. assume true propositions. But real numbers can also be โ€œrecoveredโ€ from rational numbers

Examples of irrational numbers

We prove that is irrational, or

  • Every natural number can be uniquely factorized into prime factors
  • are coprime := have no common prime factors
  • If are coprime, then are coprime.
  • can be uniquely represented as a fraction of coprime .
  • If , then . Proof by contradiction: If then thus thus .

Specifically, when , , but and . This indicates that there is no such that .

Therefore is not a rational number.

This method of determination can be extended to algebraic integers .

The โ€œintegerโ€ in algebraic integer is because .

Proof (p.43 of ref-8)

Take coprime. Substitute into the equation, multiply by .

The right side is divisible by . But are coprime, so or .

Thus . Thus .

Algebraic numbers .

Note that is not required, is not restricted, including all rational numbers , some irrational numbers e.g.

Algebraic numbers are a countable set, real numbers are an uncountable set

Transcendental numbers . are transcendental numbers

Decimal and binary systems can both define real numbers, both are special nested interval methods

Rational number intervals are subsets with the property of uninterrupted order

Note that interval endpoints can be irrational numbers. Defining real numbers using nested intervals also requires handling Cauchy property or limit-distance-vanish property

From the perspective of operational simplicity, Dedekind-cut should be used. โ€œOperational simplicityโ€ means

  • let , is a one-to-one correspondence
  • So and are in one-to-one correspondence

[Dedekind-cut] Irrational numbers

is in one-to-one correspondence with

. Relabel as

Real numbers

Logically equivalently, only one half can be used, for example, any left-half infinite interval of rational numbers , and then the right-half infinite interval is automatically obtained by taking the complement in . But here a more symmetrical representation is used

  • [order-real] order

let

  • [add-real] addition. let

Due to the existence of , multiplication does not preserve order. However, multiplication in preserves order. First handle the case , then use reflection to obtain the case

  • [multiply-real] multiplication. let

have associativity, commutativity, distributivity for

[completeness-real] completeness

[exact-bound] Supremum Principle

let have an upper bound

Supremum

[monotone-convergence] Monotone bounded convergence Proof use Supremum Principle

[nested-closed-interval-theorem] Nested Closed Interval Theorem

Whether itโ€™s an nested interval or a linearly ordered chain of nested intervals, linear order implies monotonicity of interval endpoints. For the set of smaller endpoints, use supremum ; for the set of larger endpoints, use infimum , obtaining with that the intersection of the nested closed intervals is the closed interval . can be understood as the minimum element of the linearly ordered chain of nested intervals

[closed-interval-intersection-theorem]

In fact, itโ€™s sufficient that the smaller endpoints of the closed interval family are all the larger endpoints to conclude the intersection is non-empty

Proof Similarly, for the smaller endpoints use supremum , for the set of larger endpoints use infimum , obtaining with that the intersection of the closed interval family is the closed interval

[closed-interval-net-theorem] Closed interval net intersection non-empty

Proof

Closed interval network ==> The small endpoints of the closed interval family are all large endpoints

The reverse direction โ€œthe small endpoints of the closed interval family are all large endpoints ==> interval netโ€ is not true. Consider a closed interval family with only two intervals where their intersection is non-empty and , and there is no third interval belonging to their intersection. Although if we supplement the intersection, it can be satisfied

let

def sequence is monotonically decreasing, is monotonically increasing

[limsup] Upper limit

[liminf] Lower limit

Example

For sequences, define

For general net, define

[limit-distance-vanish-sequence] := . i.e. tail distance vanish

[limit-distance-vanish-net] :=

[Cauchy-completeness-real] limit-distance-vanish sequence or net converges

Proof

limit-distance-vanish ==>

let , then . We can take

==> limit-distance-vanish sequence is bounded

==> Monotonically increasing/decreasing bounded sequences have limits

limit-distance-vanish property ==>

Thus converges to

For the net, similarly, it is proved that the tail of the net is bounded, and then, it has been proved that the intersection of bounded interval nets is non-empty. Take a point from it, and use limit-distance-vanish-net to get the net convergence

Conversely, a convergent sequence is limit-distance-vanish. by triangle inequality

Prop A sequence or net converges to <==> limit-distance-vanish

[uncountable-real] Real numbers are uncountable

It has been proved that . cf. cardinal-increase

recall

Proof

According to the nested interval theorem, the binary decimal representation of real numbers: The -th digit takes or

==> . Where, the two possible equivalent choices in binary are quotiented

by linear mapping or affine mapping

by

Proof

It represents that in binary, the first position where appears is , the second position is โ€ฆ

Compare , vs

Distance