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PrimeProducing Polynomials Diophantine Polynomials

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Comparing Paths. Reparametrized Field. Next Steps. Questions. Extras? ... Comparison to Noise. NOTICE: These Two Are Not Similar!! Is this surprising? ... – PowerPoint PPT presentation

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Title: PrimeProducing Polynomials Diophantine Polynomials


1
Prime-Producing Polynomials(Diophantine
Polynomials)
  • By Mike Munroe
  • (Senior in Mechanical Engineering)

2
Special Thanks
  • Prof. Adam Avilez, my advisor
  • My Beautiful Talented Wife, Micah
  • Gerin The CFD Lab gurus at ASU

3
Table of Contents
  • What is a Race?
  • Historic Polynomials
  • Our Race
  • 100 by 100 plot
  • Its not noise
  • Filtering shows structure
  • In 3-d
  • Paths in MatLab
  • Paths in Excel
  • Fitting the Curve
  • Depth Richness
  • Paths of Interest
  • Comparing Paths
  • Reparametrized Field
  • Next Steps
  • Questions
  • Extras?

4
What is a Prime-Producing Polynomial Race?
  • Given A Polynomial ax2 bx c
  • and x 0,1, 2, . . . , n
  • Find Integer values of a, b, and c so the
    polynomial exhibits a prime rich range for the
    given domain.
  • Richness Number of Primes
  • n1

The one with the richest polynomial wins.
5
Famous Prime-Producing Polynomials
  • Euler (1772)
  • x2 x 41
  • for x 0-39 ? 100
  • for x 0-100 ? 87
  • for x 0-255 ? 73
  • Legendre (1798)
  • x2 x 17
  • for x 0-15 ? 100
  • for x 0-100 ? 60
  • for x 0-255 ? 47
  • Fung Ruby (1987?)
  • 36x2 810x 2753
  • for x 0-44 ? 100
  • for x 0-100 ? 68
  • for x 0-255 ? 60

6
THIS Prime-Producing Polynomial Race
  • Given A Polynomial ax2 bx c
  • and x 0,1, 2, . . . , 255
  • Find Values of a, b, and c producing the most
    prime numbers
  • Richness Number of Primes 50
  • n

7
100 X 100 Contour
Governing Equation
  • Each color
  • is a richness interval
  • is interpolated
  • Shows a level surface
  • Patterns are hard
  • to detect.
  • Mean Richness 11.47
  • St. Dev Richness 2.67

Richness
8
Larger View
9
Comparison to Noise
NOTICE These Two Are Not Similar!! Is this
surprising?
10
100 X 100 Faceted Plot
Governing Equation
  • Each integer point
  • represents 1 quadratic
  • has 1 color
  • Patterns are harder
  • to detect.

Richness
11
Three Level Surfaces
Governing Equation
  • Observations
  • Vertical line trends
  • Still Noisy

Richness
12
Larger View
13
Filter 30 Rich
Governing Equation
  • Each color
  • is a richness interval
  • is interpolated
  • Shows a level surface
  • (20 surfaces default)
  • Clearer
  • Still contains noise

Richness
14
Filtered AND Three Levels
Filter above 45 rich 3 level curves
Note Parabolic paths Clear sky Richer peaks
have a larger footprint
Richness
15
3-D image
Number of primes produced
c axis
b - axis
16
Paths in MatLab
c - axis
b - axis
17
Path in Excel
c - axis
b - axis
18
Fit curve of paths
In excel these path fit a parabola to round-off
error for machine!
19
General Equation of path
  • General Space
  • Form of Path in space
  • Plane a1 in Space
  • Path on Plane
  • where
  • is constant for each path and will be called the
    intercept for the path.

20
Depth of path
  • Path of interest
  • a1, c141
  • Eulers Path
  • Observations
  • Richer near 0
  • Stabler near 0
  • Mean near 43
  • Poorer toward 8
  • Unstabler near 8

21
Richness of path
Depth into Eulers Path
Any richness under 50 was grounded to
zero The first one occurred at step
1088. Subsequent groundings occurred
intermittently
The prime-rich polynomial at step 1088 is
22
Paths to explore
General Equation for path B0.25(C)2(intercept-0
.25)
  • Lesson Learned
  • Look along path
  • Look near the C-axis

Paths of interest B0.25(C)2(41-0.25) B0.25(C)2
(19421 -0.25) B0.25(C)2(21377-0.25) B0.25(C)2
(55661 -0.25) B0.25(C)2(115721 -0.25)
  • Some Rich Path-Intercepts
  • 41 -gt74.1
  • 19421 -gt70.2
  • 21377 -gt72.9
  • 55661 -gt73.3
  • 115721 -gt70.5

23
Comparing Paths
Higher than intercept
Plateaus
A few steps in
Many Steps in
24
Parametrized field
25
Investigate Reparametrization
Why the variation? Method to filter? Relationshi
p of richness descent to intercept
location? Relationship of richness descent to
intercept richness?
26
Unanswered Questions
  • Patterns
  • Vertical (AC Gap Frequency)
  • Diagonal (Parabolic Sheets)
  • A-axis phenomenology
  • Depth characterization (along polynomial)
  • Symmetry
  • Numbers within the polynomials
  • The BIG search
  • Line Coefficient richness vs. Line Polynomial
    richness
  • Strong pseudoprime paths

27
Vertical / Front View
What causes these gap-patterns?
28
The B1 Plane
Unfiltered
Filtered
These are parabolic sheets in the polynomial
space
29
Language options
Matlab 699 Billion years or 46.6 (15e9)
yrs C 3.26 days Ratio C(3 x 107 )Matlab
Conclusion Use C, or possibly Fortran for big
jobs
30
Any Questions?
31
(No Transcript)
32
Resonance
Fourier Transform of the data reveals resonances
33
The C1 plane
Unfiltered
Filtered
34
Larger 3d space
Compute the richness for A, B, C 1 to
100 Question What is the richness of the
richest polynomial in this space? Answer There
are three polynomials with richness of
0.741176470588235 Is that likely?
What does this mean?
35
Larger 3d-scatter
Note -parabolic paths -rich at a2 -multiple
a-planes
36
Horizontal / Side View
There are patterns on both axes
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