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OCME · Bilingual mathematics & derivations

Wave5 Third Layer: Matrix Rank, Pointwise Function Limits, Series, Statistical Models, Connectedness, Maximum Matching and Modular Inverses

On this page
  1. Finite matrices: dimensions, indexing, and transpose
  2. Linear combinations and span
  3. Dimension of a finite-dimensional vector space
  4. Sequence
  5. Function mapping
  6. Sequence limits and exact tail cutoffs
  7. Quantifiers and explicit domains
  8. Arithmetic operations
  9. Finite joint distribution
  10. Probability on finite sample spaces
  11. Set
  12. Topological space
  13. Open and closed sets
  14. Set operations
  15. Graph matching
  16. Optimization problem
  17. Greatest common divisor and coprimality
  18. Natural-number congruence modulo a positive modulus
  19. Equation
  20. Matrix rank
  21. Pointwise convergence of functions
  22. Infinite series
  23. Parametric statistical model
  24. Connected topological space
  25. Maximum matching
  26. Modular inverse

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 matrices: dimensions, indexing, and transpose

    Existing canonical prerequisite for the new objects in this pulse.

  2. Stage 1 · required

    Linear combinations and span

    Existing canonical prerequisite for the new objects in this pulse.

  3. Stage 1 · required

    Dimension of a finite-dimensional vector space

    Existing canonical prerequisite for the new objects in this pulse.

  4. Stage 1 · required

    Sequence

    Existing canonical prerequisite for the new objects in this pulse.

  5. Stage 1 · required

    Function mapping

    Existing canonical prerequisite for the new objects in this pulse.

  6. Stage 1 · required

    Sequence limits and exact tail cutoffs

    Existing canonical prerequisite for the new objects in this pulse.

  7. Stage 1 · required

    Quantifiers and explicit domains

    Existing canonical prerequisite for the new objects in this pulse.

  8. Stage 1 · required

    Arithmetic operations

    Existing canonical prerequisite for the new objects in this pulse.

  9. Stage 1 · required

    Finite joint distribution

    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

    Set

    Existing canonical prerequisite for the new objects in this pulse.

  12. Stage 1 · required

    Topological space

    Existing canonical prerequisite for the new objects in this pulse.

  13. Stage 1 · required

    Open and closed sets

    Existing canonical prerequisite for the new objects in this pulse.

  14. Stage 1 · required

    Set operations

    Existing canonical prerequisite for the new objects in this pulse.

  15. Stage 1 · required

    Graph matching

    Existing canonical prerequisite for the new objects in this pulse.

  16. Stage 1 · required

    Optimization problem

    Existing canonical prerequisite for the new objects in this pulse.

  17. Stage 1 · required

    Greatest common divisor and coprimality

    Existing canonical prerequisite for the new objects in this pulse.

  18. Stage 1 · required

    Natural-number congruence modulo a positive modulus

    Existing canonical prerequisite for the new objects in this pulse.

  19. Stage 1 · required

    Equation

    Existing canonical prerequisite for the new objects in this pulse.

  20. Stage 2 · optional

    Matrix rank

    Matrix rank is the dimension of the row or column space and can be computed as the number of pivots after exact rank-preserving elimination.

  21. Stage 3 · optional

    Pointwise convergence of functions

    A function sequence on one domain converges pointwise when its value sequence converges at each fixed x; the witness N may depend on x and epsilon.

  22. Stage 4 · optional

    Infinite series

    An infinite series is defined through the limit of its partial-sum sequence; terms tending to zero are necessary but not sufficient for convergence.

  23. Stage 5 · optional

    Parametric statistical model

    A parametric statistical model assigns each parameter theta a complete probability law P_theta on the same finite measurable sample space.

  24. Stage 6 · optional

    Connected topological space

    A space is connected when it has no separation into two disjoint nonempty open sets, equivalently no nontrivial clopen subset.

  25. Stage 7 · optional

    Maximum matching

    A maximum matching has the greatest edge count among all valid matchings of the complete finite graph; it may be nonunique and need not be perfect.

  26. Stage 8 · optional

    Modular inverse

    For n≥2, a has a multiplicative inverse modulo n exactly when gcd(a,n)=1; the inverse is unique as a residue class modulo n.

Path source & status

path-pulse-foundations-20261103 · candidate

Original paths JSON