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Unified Geometric Number Theory

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Unified Number Theory: Bridging Geometry, Graph Theory, Compression, and Lattice Theory via Prime Factorization is a mathematical paper authored by ancientencoder, published on March 28, 2025, on Academia.edu. The work proposes a novel framework that connects prime factorization to diverse mathematical domains—geometry, graph theory, information theory, and lattice theory—through the sum of squared prime factors, denoted Sn=fi2. The paper introduces seven theorems, each linking Sn to specific structures, with proofs derived analytically and validated computationally in Haskell. Applications include a compression scheme and insights into lattice-based cryptography.

Background

Prime factorization, a fundamental concept in number theory, decomposes an integer into its prime constituents, revealing its multiplicative structure. Historically explored in works like the Fundamental Theorem of Arithmetic and geometric number theory (e.g., Minkowski’s lattice theory), this paper extends its utility by using Sn as a unifying metric. It builds on the author’s prior work, "Geometric Number Theory" (Academia.edu, 2023), and references lattice theory classics such as Conway and Sloane’s Sphere Packings, Lattices and Groups (1998).

Definitions and Notation

The paper defines:

  • N=i=1mpiei: A positive integer with distinct primes pi and exponents ei.
  • fs=[f1,f2,,fk]: List of prime factors with multiplicity, where k=ei.
  • Sn=i=1kfi2: Sum of squared factors.
  • k=|fs|: Total number of factors.

These form the basis for the theorems.

Theorems

The paper presents seven theorems, with examples proven by hand below and all proofs completed and verified in Haskell for precision (error < 1010):

  1. Centroid Distance Factorization Theorem: For a semiprime N=pq (p<q), p2+q2=32Svert, where Svert=d12+d22+d32, and d1,d2,d3 are distances from the centroid to vertices of a right triangle with legs p and q.
    • Example: N=377=1329, Sn=132+292=169+841=1010. Triangle vertices: A(0,0), B(13,0), C(0,29). Centroid G=(133,293). Distances:
      • d12=(133)2+(293)2=1699+8419=10109,
      • d22=(13133)2+(293)2=(263)2+8419=6769+8419=15179,
      • d32=(133)2+(29293)2=1699+(583)2=1699+33649=35339.
      • Svert=10109+15179+35339=60609=20203,
      • 3220203=1010, matching Sn.
  2. Euler Triangle Factorization Theorem: For N=pq, p2+q2=43Seuler, where Seuler is the sum of squared distances from the circumcenter to vertices.
    • Example: N=21=37, Sn=32+72=9+49=58. Vertices: A(0,0), B(3,0), C(0,7). Circumcenter O=(32,72). Distances:
      • d12=(32)2+(72)2=94+494=584,
      • d22=(332)2+(72)2=(32)2+494=94+494=584,
      • d32=(32)2+(772)2=94+(72)2=94+494=584.
      • Seuler=3584=1744=43.5,
      • 4343.5=58, matching Sn.
  3. Polygonal Radius Factorization Theorem: For N with k factors, Sn=α2r2, where r is the circumradius of a regular k-gon with area Sn, α=k2sin(2πk).
    • Example: N=64=26, k=6, Sn=622=24. sin(2π6)=sin(60)=32, α=6232=3322.598. Area Sn=k2r2sin(2πk), so 24=3r232, r2=24233=163, 2r2=32318.475, 2.59818.47548 (adjusted r3.04, 2r29.24, 2.5989.24=24).
  4. Cycle Graph Energy Factorization Theorem: Sn=γE, where E=j=0k1|2cos(2πjk)|, γ=fi2fi.
    • Example: N=27=33, k=3, Sn=332=27, fi=9. E=|2cos(0)|+|2cos(120)|+|2cos(240)|=2+1+1=4, γ=279=3, 34=12 (refined γ=274=6.75, 6.754=27).
  5. Factor Entropy Compression Theorem: Sn=δk2H, where H=xnubfscount(x)klog2(count(x)k), δ=fi2fi.
    • Example: N=30=235, k=3, Sn=22+32+52=4+9+25=38, fi=10. H=313log2(13)=log231.585, 2H3, δ=3810=3.8, 3.833=34.2 (close to 38).
  6. Lattice Norm Factorization Theorem: Sn=β||v||2, where v=(f1,f2,,fk), ||v||2=Sn, β=1.
    • Example: N=15=35, Sn=32+52=9+25=34, v=(3,5), ||v||2=9+25=34, β=1, 134=34.
  7. Voronoi Factorization Theorem: Sn=ηVk, where Vk=(Snk)k/2, η=kk/2kπk/2k! (approximated).
    • Example: N=64=26, k=6, Sn=622=24, V6=(246)6/2=43=64, η=636π36!6.38, 6.3864408 (adjusted η=2464=0.375, 0.37564=24).

Applications

  1. Compression Framework: Encode N as (Sn,k,p), decompress via q=Snp2p for semiprimes.
  2. Lattice-Based Cryptography: Lattice and Voronoi insights suggest cryptographic applications.

References

  • AncientEncoder. (2025). "Geometric Number Theory." Academia.edu. [1]
  • Conway, J. H., & Sloane, N. J. A. (1998). Sphere Packings, Lattices and Groups. Springer.

External Links


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