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OCME · Bilingual mathematics & derivations

Structural Depth Wave4, First Slice: Abelian Groups, Norms, Cauchy Sequences, Joint Laws, Covariance, Graph Isomorphisms and Equivalence Relations

On this page
  1. Finite group
  2. Quantifiers and explicit domains
  3. Real vector space
  4. Absolute value
  5. Usual order on the real numbers
  6. Metric space
  7. Sequence
  8. Finite discrete probability distribution
  9. Real random variables on finite sample spaces
  10. Probability on finite sample spaces
  11. Sample space
  12. Expectation in finite models
  13. Variance in finite probability models
  14. Finite simple undirected graphs
  15. Bijectivity and unique preimages
  16. Binary relations and set projections
  17. Logical connectives
  18. Finite abelian group
  19. Real normed vector space
  20. Cauchy sequence
  21. Finite joint distribution
  22. Covariance
  23. Graph isomorphism
  24. Equivalence relation

Complete seven traceable knowledge objects in dependency order on the existing number-system and function foundations.

This is a suggested learning sequence, not a universal logical dependency or a formal proof.

  1. Stage 1 · required

    Finite group

    Existing canonical prerequisite for the new objects in this pulse.

  2. Stage 1 · required

    Quantifiers and explicit domains

    Existing canonical prerequisite for the new objects in this pulse.

  3. Stage 1 · required

    Real vector space

    Existing canonical prerequisite for the new objects in this pulse.

  4. Stage 1 · required

    Absolute value

    Existing canonical prerequisite for the new objects in this pulse.

  5. Stage 1 · required

    Usual order on the real numbers

    Existing canonical prerequisite for the new objects in this pulse.

  6. Stage 1 · required

    Metric space

    Existing canonical prerequisite for the new objects in this pulse.

  7. Stage 1 · required

    Sequence

    Existing canonical prerequisite for the new objects in this pulse.

  8. Stage 1 · required

    Finite discrete probability distribution

    Existing canonical prerequisite for the new objects in this pulse.

  9. Stage 1 · required

    Real random variables on finite sample spaces

    Existing canonical prerequisite for the new objects in this pulse.

  10. Stage 1 · required

    Probability on finite sample spaces

    Existing canonical prerequisite for the new objects in this pulse.

  11. Stage 1 · required

    Sample space

    Existing canonical prerequisite for the new objects in this pulse.

  12. Stage 1 · required

    Expectation in finite models

    Existing canonical prerequisite for the new objects in this pulse.

  13. Stage 1 · required

    Variance in finite probability models

    Existing canonical prerequisite for the new objects in this pulse.

  14. Stage 1 · required

    Finite simple undirected graphs

    Existing canonical prerequisite for the new objects in this pulse.

  15. Stage 1 · required

    Bijectivity and unique preimages

    Existing canonical prerequisite for the new objects in this pulse.

  16. Stage 1 · required

    Binary relations and set projections

    Existing canonical prerequisite for the new objects in this pulse.

  17. Stage 1 · required

    Logical connectives

    Existing canonical prerequisite for the new objects in this pulse.

  18. Stage 2 · optional

    Finite abelian group

    A finite group is abelian when its complete Cayley table satisfies commutativity for every pair of elements.

  19. Stage 3 · optional

    Real normed vector space

    A real vector space equipped with a positive-definite, absolutely homogeneous real-valued norm satisfying the triangle inequality.

  20. Stage 4 · optional

    Cauchy sequence

    A sequence in a metric space is Cauchy if, for every positive epsilon, all pairs of sufficiently late terms are less than epsilon apart.

  21. Stage 5 · optional

    Finite joint distribution

    Value tuples of random variables on one common finite probability space, together with exact masses, specify a finite joint distribution.

  22. Stage 6 · optional

    Covariance

    Under one finite joint distribution, covariance is E[XY]−E[X]E[Y]; zero covariance does not in general imply independence.

  23. Stage 7 · optional

    Graph isomorphism

    An isomorphism of finite simple graphs is a vertex bijection preserving both adjacency and nonadjacency for every pair.

  24. Stage 8 · optional

    Equivalence relation

    A relation on a fixed carrier is an equivalence relation when it fully satisfies reflexivity, symmetry and transitivity.

Path source & status

path-pulse-foundations-20261026 · candidate

Original paths JSON