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Erdős 699: effective bounds at indices 15 and 20
This is a retained earlier research note. The current reading guide gives the latest status and distinguishes completed proofs from remaining cases.
P699 research · Erdős problem 699 · Nonvanishing from surjective interpolation
Complete exclusions. Indices are fully excluded by the cutoff-15 proof; the bounds and constructions below are retained as earlier stages and inputs.
There is an effectively computable last bad row at each of . These are bounds for the entire index, including every possible assignment and collision of the small-prime maximum positions. No binomial rows or columns are enumerated.
Let be the maximum of the effective symmetric BFT thresholds, with gap bound , for the prime-pair weights used below. Then every bad triple satisfies
The powers of ten are deliberately crude. The additional symmetric thresholds comprising are effectively computable but not all numerically instantiated here. The two asymmetric thresholds are numerical and are already below the displayed algebraic bounds.
Cofactor inequalities
For each prime , choose a position maximizing , and write
Use the symmetric weights in BFT Corollary 2.3 together with the twelve additional pair estimates. Include only pairs whose primes are less than . Add these two asymmetric inequalities, written for normalized cofactor exponents :
Here . The exact asymmetric threshold evaluator gives:
| Pair | Targets | Seed and | Threshold for the smaller input | |
|---|---|---|---|---|
| , | ||||
| , |
Both use gap bound . Their limiting exponents exceed, respectively, and . The coefficient-gcd bounds are the retained BFT Proposition 5.1 entries; no new asymptotic gcd assumption is made.
For each symmetric or asymmetric disjunction, choose an endpoint witnessing it. Keeping the largest chosen weight at each prime, and discarding componentwise dominated vectors, gives a finite list of rational vectors such that some satisfies . The list has 39 vectors at and 112 at .
When , each singleton maximum satisfies
At a position occupied by at least two primes, their selected prime powers have product at most . Such a position therefore has exponent capacity . A singleton has capacity .
For a fixed singleton subset, the other primes occupy at most positions. Assign capacity to that many positions and sort all capacities decreasingly. These vectors cover all collisions. For nonincreasing row multiplicities , rearrangement puts the largest capacities at the earliest positions, giving the uniform upper exponent
All entries used here are less than , as checked exactly. The capacity construction and its proof are also retained in the weighted-ramp calculation.
Integer interpolation data
For , use
For , use
Both vectors are nonincreasing. At each grid point , , prescribe residual multiplicity
The exact symmetric jet calculations give:
| Symmetric equations | Symmetric monomials through degree | Modulus | Rank | |
|---|---|---|---|---|
| 15 | 16768 | 16770 | 251 | 16768 |
| 20 | 2399 | 2401 | 65521 | 2399 |
Both moduli are prime. The matrix entries are the integer Hasse Taylor coefficients of the symmetric monomials. At off-diagonal support points, one point from each exchanged pair suffices; at diagonal points the Taylor coefficients with exchanged derivative indices coincide. These are exact identities, not numerical reductions.
Full row rank modulo the displayed prime implies surjectivity of the rational symmetric interpolation map. The multiplication-by- lemma therefore supplies a finite family of integer polynomials of degree at most with the prescribed residual multiplicities, having no common zero when . This uses the symmetric local jet algebra. In particular, independence of all nonsymmetric jet conditions is neither claimed nor needed.
Multiply these polynomials by
The resulting family has row multiplicities at least , degree at most , and no common zero in the physical range . Exact capacity enumeration gives:
| Capacity configurations checked | Total degree | Minimum exponent gain | |
|---|---|---|---|
| 15 | 1840 | 962 | |
| 20 | 18479 | 563 |
Here the gain is
Thus some nonzero polynomial evaluation gives a positive power bound uniformly for every bad pair. There is no remaining curve or finite base-locus exception.
Explicit algebraic constants
The following generous bounds make the effectivity assertion concrete without writing out a rational interpolation inverse. Let be the symmetric rank, , and put
A full-rank minor and its cofactors give integer interpolation sections , with a common denominator-clearing factor , such that and . Every symmetric jet matrix entry has magnitude at most .
In the standard local Taylor basis, multiplication by has column coefficient norm at most on row . At a diagonal point, the extra allows the coincident derivative terms. The nonvanishing generators are
where represents that multiplication and is the jet of the constant . At most entries of are nonzero, and they equal . Consequently every generator has coefficient norm at most .
Let be the number of primes less than , and let be the gain in the preceding table. The off-maximum small-prime contribution is at most . For , the product of the factors is at least . Combining the weighted Kummer divisibility with a nonzero generator gives
Both indices are composite, so no rough denominator factor from needs to be added. These estimates are applied only after the source thresholds have been reached.
Use , , and . The right-hand side is strictly less than , where
The two exact values are and . Finally,
The powers of ten also exceed the elementary row thresholds and both numerical asymmetric thresholds. This proves the bounds stated at the start.
Reproduction
The checker and recorded certificate retain the integer data, all source parameters used for the asymmetric thresholds, finite-vector counts, worst capacities, exact gains, and ranks. The floating-point optimization that suggested the integer data is not used to certify any assertion.
.venv/bin/python wiki/research/erdos_699/computations/erdos_699_interpolation_extensions.pyDependencies are pinned in the interpolation requirements. Install them in the chosen Python environment before running the checker.
The exact rank check for takes about three minutes on the machine
used here. The --arithmetic-only option checks the finite cofactor and
capacity calculations without repeating the rank calculation.