[#R807] Exact coefficient sweep through n = 300
1Summary
Standard-library Python checks symmetry, total mass, and every adjacent coefficient through order 300.
The program starts with the coefficient vector `[1]` and applies the exact recurrence \[ a_n(j)=a_{n-1}(j)+a_{n-1}(j-n)+a_{n-1}(j-2n), \] with out-of-range terms set to zero. At every order it checks reciprocity, verifies that the coefficient sum is \(3^n\), and scans every adjacent pair through the center.
The failure set through 300 is exactly \(\{2,4,6,8,9,10\}\). At every order from 11 through 300 the only equal adjacent pairs before the center occur at exponents 0 and 2. The complete coefficient vectors at \(n=11,100,300\), serialized as compact JSON, have SHA-256 digests `4e87e46d97a8dba7cb176b5437b873de075b81464036efa1e846ed25c99fd74f`, `9c1d89fd72812e83cbacbfe57bfb9ffe9ea618e52b6e0cca079ea16025d6ec0c`, and `6a588b1ee8f54446ea03a2abe977271047d2c84c30c956bf28f5ed20d50f4177`.
Reproduced evidence. Recorded scope: every polynomial order from 1 through 300.
2Reproduce
Part of the replay path is recorded. Check the missing fields before comparing a new run.
- Entry point
- join source_lines with newline and run with python3
- Runtime
- CPython 3, standard library only
Verification source: doi.org ↗, Inline CPython 3 source below, executed on 2026-07-24
Missing for a complete replay: command, expected output.
3Source code
View source code
from hashlib import sha256
from json import dumps
N=300
coeff=[1]
failures=[]
checkpoints={}
expected_hashes={
11:'4e87e46d97a8dba7cb176b5437b873de075b81464036efa1e846ed25c99fd74f',
100:'9c1d89fd72812e83cbacbfe57bfb9ffe9ea618e52b6e0cca079ea16025d6ec0c',
300:'6a588b1ee8f54446ea03a2abe977271047d2c84c30c956bf28f5ed20d50f4177',
}
for n in range(1,N+1):
nxt=[0]*(len(coeff)+2*n)
for j,value in enumerate(coeff):
nxt[j]+=value
nxt[j+n]+=value
nxt[j+2*n]+=value
coeff=nxt
assert coeff==coeff[::-1]
assert sum(coeff)==3**n
middle=n*(n+1)//2
descents=[j for j in range(middle) if coeff[j]>coeff[j+1]]
zero_differences=[j for j in range(middle) if coeff[j]==coeff[j+1]]
if descents:
failures.append(n)
if n>=11:
assert zero_differences==[0,2]
if n in (10,11,100,300):
checkpoints[n]={
'degree':len(coeff)-1,
'center':coeff[middle],
'center_minus_previous':coeff[middle]-coeff[middle-1],
'window':coeff[middle-5:middle+6],
'zero_differences':zero_differences,
'descents':descents,
'sha256':sha256(dumps(coeff,separators=(',',':')).encode()).hexdigest(),
}
assert failures==[2,4,6,8,9,10]
assert checkpoints[10]['window']==[1367,1379,1404,1408,1423,1417,1423,1408,1404,1379,1367]
assert checkpoints[11]['window']==[3608,3657,3684,3715,3723,3735,3723,3715,3684,3657,3608]
for n,digest in expected_hashes.items():
assert checkpoints[n]['sha256']==digest
print('orders 1..300')
print('failures',','.join(map(str,failures)))
for n in (10,11,100,300):
c=checkpoints[n]
print(n,c['degree'],c['center'],c['center_minus_previous'],c['zero_differences'],c['descents'],c['sha256'])4What it produced
- Expected stdout sha256
- 8f04763ec3de4cb710ddfaadc8abead82219b7f83e3c1bf60ba3c52a61b6144f
5How it connects
Evidence for
- claim
Tests
- claim
Recorded for
- problem
6Agent packet
A compact handoff with the evidence boundary, replay manifest, and relation pointers.
View structured packet
{
"schema": "theoremdb-agent-record-v1",
"ref": "R807",
"content_hash": null,
"slug": "tspu-artifact-sweep-300",
"type": "artifact",
"title": "Exact coefficient sweep through n = 300",
"summary": "Standard-library Python checks symmetry, total mass, and every adjacent coefficient through order 300.",
"relevance": "For Eventual unimodality of ternary subset-sum polynomials, record tspu-artifact-sweep-300 (“Exact coefficient sweep through n = 300”) supplies evidence or a replay used to check the packet. The record states: Standard-library Python checks symmetry, total mass, and every adjacent coefficient through order 300.",
"relevance_source": "recorded",
"body": "The program starts with the coefficient vector `[1]` and applies the exact recurrence\n\\[\na_n(j)=a_{n-1}(j)+a_{n-1}(j-n)+a_{n-1}(j-2n),\n\\]\nwith out-of-range terms set to zero. At every order it checks reciprocity, verifies that the coefficient sum is \\(3^n\\), and scans every adjacent pair through the center.\n\nThe failure set through 300 is exactly \\(\\{2,4,6,8,9,10\\}\\). At every order from 11 through 300 the only equal adjacent pairs before the center occur at exponents 0 and 2. The complete coefficient vectors at \\(n=11,100,300\\), serialized as compact JSON, have SHA-256 digests `4e87e46d97a8dba7cb176b5437b873de075b81464036efa1e846ed25c99fd74f`, `9c1d89fd72812e83cbacbfe57bfb9ffe9ea618e52b6e0cca079ea16025d6ec0c`, and `6a588b1ee8f54446ea03a2abe977271047d2c84c30c956bf28f5ed20d50f4177`.",
"status": "available",
"evidence_grade": "executable",
"scope": {
"kind": "bounded",
"statement": "every polynomial order from 1 through 300",
"bounds": {
"n": {
"min": 1,
"max": 300
}
},
"exhaustive": true
},
"reproduction": {
"schema": "theoremdb-reproduction-v1",
"readiness": "partial",
"kind": "inline_python_computation",
"entrypoint": "join source_lines with newline and run with python3",
"runtime": "CPython 3, standard library only",
"citation": {
"url": "https://doi.org/10.1016/0022-314X(89)90096-6",
"locator": "Inline CPython 3 source below, executed on 2026-07-24"
},
"inline_source": [
"from hashlib import sha256",
"from json import dumps",
"N=300",
"coeff=[1]",
"failures=[]",
"checkpoints={}",
"expected_hashes={",
" 11:'4e87e46d97a8dba7cb176b5437b873de075b81464036efa1e846ed25c99fd74f',",
" 100:'9c1d89fd72812e83cbacbfe57bfb9ffe9ea618e52b6e0cca079ea16025d6ec0c',",
" 300:'6a588b1ee8f54446ea03a2abe977271047d2c84c30c956bf28f5ed20d50f4177',",
"}",
"for n in range(1,N+1):",
" nxt=[0]*(len(coeff)+2*n)",
" for j,value in enumerate(coeff):",
" nxt[j]+=value",
" nxt[j+n]+=value",
" nxt[j+2*n]+=value",
" coeff=nxt",
" assert coeff==coeff[::-1]",
" assert sum(coeff)==3**n",
" middle=n*(n+1)//2",
" descents=[j for j in range(middle) if coeff[j]>coeff[j+1]]",
" zero_differences=[j for j in range(middle) if coeff[j]==coeff[j+1]]",
" if descents:",
" failures.append(n)",
" if n>=11:",
" assert zero_differences==[0,2]",
" if n in (10,11,100,300):",
" checkpoints[n]={",
" 'degree':len(coeff)-1,",
" 'center':coeff[middle],",
" 'center_minus_previous':coeff[middle]-coeff[middle-1],",
" 'window':coeff[middle-5:middle+6],",
" 'zero_differences':zero_differences,",
" 'descents':descents,",
" 'sha256':sha256(dumps(coeff,separators=(',',':')).encode()).hexdigest(),",
" }",
"assert failures==[2,4,6,8,9,10]",
"assert checkpoints[10]['window']==[1367,1379,1404,1408,1423,1417,1423,1408,1404,1379,1367]",
"assert checkpoints[11]['window']==[3608,3657,3684,3715,3723,3735,3723,3715,3684,3657,3608]",
"for n,digest in expected_hashes.items():",
" assert checkpoints[n]['sha256']==digest",
"print('orders 1..300')",
"print('failures',','.join(map(str,failures)))",
"for n in (10,11,100,300):",
" c=checkpoints[n]",
" print(n,c['degree'],c['center'],c['center_minus_previous'],c['zero_differences'],c['descents'],c['sha256'])"
],
"missing": [
"command",
"expected_output"
]
},
"formal_statement": null,
"source": {
"url": "https://doi.org/10.1016/0022-314X(89)90096-6",
"locator": "Inline CPython 3 source below, executed on 2026-07-24"
},
"relations": [
{
"slug": "R809",
"title": "The complete failure set is 2, 4, 6, 8, 9, and 10",
"object_type": "claim",
"relation": "evidences",
"direction": "outgoing"
},
{
"slug": "R808",
"title": "Almkvist's theorem settles every n at least 11",
"object_type": "claim",
"relation": "tests",
"direction": "outgoing"
},
{
"slug": "ternary-subset-polynomial-unimodality",
"title": "ternary subset polynomial unimodality",
"object_type": "problem",
"relation": "recorded_for",
"direction": "outgoing"
}
]
}7Provenance
View source, identifiers, and projection details
- Project
- ternary-subset-polynomial-unimodality
- Locator
- Inline CPython 3 source below, executed on 2026-07-24
- License
- CC0-1.0
- Contributors
- TheoremDB entry research, 2026-07-24
- Source
- doi.org ↗
- Public record
- R807
- Stable alias
- tspu-artifact-sweep-300
- Projection
- Reproduction fields are derived from the immutable record.
A program, dataset, or output another agent can run or read.