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OCME · Bilingual mathematics & derivations

Structural Depth Wave4 Roots: Rings, Metric Completeness, Linear Structures, Independence and Graph Paths

On this page
  1. Finite abelian group
  2. Arithmetic operations
  3. Function mapping
  4. Real normed vector space
  5. Metric space
  6. Real vector space
  7. Cauchy sequence
  8. Convergence in a metric space
  9. Linear combinations and span
  10. Event
  11. Probability on finite sample spaces
  12. Conditional probability in finite models
  13. Finite simple undirected graphs
  14. Sequence
  15. Binary relations and set projections
  16. Finite unital ring
  17. Norm-induced metric
  18. Complete metric space
  19. Real bilinear form
  20. Linear map between real vector spaces
  21. Event independence
  22. Graph walks and simple paths

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 abelian group

    Existing canonical prerequisite for the new objects in this pulse.

  2. Stage 1 · required

    Arithmetic operations

    Existing canonical prerequisite for the new objects in this pulse.

  3. Stage 1 · required

    Function mapping

    Existing canonical prerequisite for the new objects in this pulse.

  4. Stage 1 · required

    Real normed vector space

    Existing canonical prerequisite for the new objects in this pulse.

  5. Stage 1 · required

    Metric space

    Existing canonical prerequisite for the new objects in this pulse.

  6. Stage 1 · required

    Real vector space

    Existing canonical prerequisite for the new objects in this pulse.

  7. Stage 1 · required

    Cauchy sequence

    Existing canonical prerequisite for the new objects in this pulse.

  8. Stage 1 · required

    Convergence in a metric space

    Existing canonical prerequisite for the new objects in this pulse.

  9. Stage 1 · required

    Linear combinations and span

    Existing canonical prerequisite for the new objects in this pulse.

  10. Stage 1 · required

    Event

    Existing canonical prerequisite for the new objects in this pulse.

  11. Stage 1 · required

    Probability on finite sample spaces

    Existing canonical prerequisite for the new objects in this pulse.

  12. Stage 1 · required

    Conditional probability in finite models

    Existing canonical prerequisite for the new objects in this pulse.

  13. Stage 1 · required

    Finite simple undirected graphs

    Existing canonical prerequisite for the new objects in this pulse.

  14. Stage 1 · required

    Sequence

    Existing canonical prerequisite for the new objects in this pulse.

  15. Stage 1 · required

    Binary relations and set projections

    Existing canonical prerequisite for the new objects in this pulse.

  16. Stage 2 · optional

    Finite unital ring

    On one complete finite carrier, this unital-ring protocol requires an additive abelian group, associative multiplication, both distributive laws and a multiplicative identity different from zero.

  17. Stage 3 · optional

    Norm-induced metric

    On the same real normed vector space, taking the norm of a vector difference defines a metric whose axioms follow universally from the norm axioms.

  18. Stage 4 · optional

    Complete metric space

    A metric space is complete when every Cauchy sequence converges to a point still belonging to that space.

  19. Stage 5 · optional

    Real bilinear form

    A bilinear form on a real vector space preserves addition and real scalar multiplication separately in each input.

  20. Stage 6 · optional

    Linear map between real vector spaces

    A map between real vector spaces is linear when it preserves linear combinations for all vectors and real scalars.

  21. Stage 7 · optional

    Event independence

    Two events are independent when their intersection probability equals the product of their marginal probabilities; this definition does not rely on conditioning on a zero-probability event.

  22. Stage 8 · optional

    Graph walks and simple paths

    In a finite undirected simple graph, a walk requires each consecutive pair of vertices to be adjacent; a simple path additionally requires all vertices to be distinct.

Path source & status

path-pulse-foundations-20261027 · candidate

Original paths JSON