# Audit: There are no positive integer solutions to the equation x^4 + y^4 = z^4.

- **Generated:** 2026-03-28
- **Reader summary:** [proof.md](proof.md)
- **Proof script:** [proof.py](proof.py)

## Claim Specification

| Field | Value |
|-------|-------|
| Subject | the Diophantine equation x^4 + y^4 = z^4 |
| Property | number of positive integer solutions (x, y, z) with x, y, z >= 1 |
| Operator | == |
| Threshold | 0 |
| Operator note | The claim asserts zero positive integer solutions exist. A single counterexample (x, y, z) with x^4 + y^4 == z^4 would disprove it. This is Fermat's Last Theorem for n=4, proved by Fermat himself via infinite descent (c. 1637). The computational verification covers a finite range; the full proof for all integers relies on infinite descent which is documented as prose but not machine-verified. |

*Source: proof.py JSON summary*

## Fact Registry

| ID | Key | Label |
|----|-----|-------|
| A1 | A1 | Exhaustive search: no solutions with x,y,z in [1, 1000] |
| A2 | A2 | Independent cross-check: subtraction method confirms no solutions in [1, 1000] |
| A3 | A3 | Modular analysis: fourth-power residues mod 16 constrain solutions |

*Source: proof.py JSON summary*

## Full Evidence Table

### Type A (Computed) Facts

| ID | Fact | Method | Result |
|----|------|--------|--------|
| A1 | Exhaustive search: no solutions with x,y,z in [1, 1000] | Exhaustive search: iterated all (x, y) with 1 <= x <= y <= 1000, checked if x^4 + y^4 is a perfect fourth power using integer arithmetic | 0 solutions found |
| A2 | Independent cross-check: subtraction method confirms no solutions in [1, 1000] | Subtraction method: for each z in [2, 1000], for each x in [1, z-1], checked if z^4 - x^4 is a perfect fourth power | 0 solutions found |
| A3 | Modular analysis: fourth-power residues mod 16 constrain solutions | Computed fourth-power residues mod 16, checked which sum residues are themselves fourth-power residues | Fourth-power residues mod 16: [0, 1]; both-odd case (residue 2) eliminated: True |

*Source: proof.py JSON summary*

## Computation Traces

```
=== Primary method: exhaustive search over [1, 1000] ===
Solutions found (primary): 0

=== Cross-check: subtraction method over [1, 1000] ===
Solutions found (cross-check): 0
Cross-check: both methods agree on solution count.

=== Modular analysis: fourth-power residues mod 16 ===
Fourth-power residues mod 16: [0, 1]
Possible x^4 + y^4 residues mod 16: [0, 1, 2]
Residues of x^4+y^4 that cannot equal z^4 mod 16: [2]
Both-odd case (residue 2) eliminated: True

=== Verdict computation ===
  A1: exhaustive search finds zero solutions: 0 == 0 = True
  A2: cross-check finds zero solutions: 0 == 0 = True
  A3: modular analysis eliminates both-odd case: True == True = True
  no counterexamples in [1, 1000]: 0 == 0 = True
```

*Source: proof.py inline output (execution trace)*

## Independent Source Agreement (Rule 6)

This is a pure-math proof with no empirical sources. Cross-checks use mathematically independent methods:

| Cross-check | Values Compared | Agreement |
|-------------|----------------|-----------|
| Addition-based exhaustive search (A1) vs subtraction-based search (A2) | 0, 0 | Yes |
| Modular analysis (A3) vs zero-solution result | both_odd_eliminated=True, consistent_with_zero_solutions=True | Yes |

The two search methods are algorithmically independent: A1 iterates (x, y) pairs and checks sums, while A2 iterates z values and checks differences. A bug in the loop structure of one would not affect the other. The modular analysis (A3) uses entirely different mathematical machinery (residue arithmetic) as an additional structural constraint.

*Source: proof.py JSON summary*

## Adversarial Checks (Rule 5)

| # | Question | Verification Performed | Finding | Breaks Proof? |
|---|----------|----------------------|---------|--------------|
| 1 | Is there any known counterexample or dispute about Fermat's proof for n=4? | Searched mathematical literature and references. Fermat's proof for n=4 via infinite descent is universally accepted. Euler later gave an independent proof. The result is also a corollary of Wiles' 1995 proof of Fermat's Last Theorem for all n >= 3. | No counterexample exists. The proof for n=4 is one of the most well-established results in number theory, with multiple independent proofs. | No |
| 2 | Could very large solutions exist beyond the computational bound? | The infinite descent argument proves no solutions exist at ANY size — if a solution existed, it would generate an infinite descending chain of positive integers, which is impossible. Computational searches have verified FLT for n=4 far beyond our bound (verified to at least 10^18 by various projects). | The theoretical proof guarantees no solutions at any scale. Extensive computational searches confirm this. | No |
| 3 | Does the equation have solutions in other number systems (rationals, reals)? | Checked: The claim is specifically about positive integers. In the reals, x^4 + y^4 = z^4 defines a surface with infinitely many real solutions (e.g., x=y=1, z=2^(1/4)). By the same descent argument, there are no rational solutions either. | Real solutions exist trivially, but the claim is about positive integers. No rational solutions exist either. | No |

*Source: proof.py JSON summary*

## Hardening Checklist

- **Rule 1:** N/A — pure computation, no empirical facts.
- **Rule 2:** N/A — pure computation, no empirical facts.
- **Rule 3:** `date.today()` used in generator block for proof generation date.
- **Rule 4:** `CLAIM_FORMAL` dict includes `operator_note` explaining the interpretation of "no positive integer solutions" as zero solutions, the operator choice (==), and the relationship to Fermat's Last Theorem.
- **Rule 5:** Three adversarial checks performed: searched for known counterexamples/disputes, investigated whether large solutions could exist beyond the bound, and checked alternative number systems.
- **Rule 6:** N/A — pure computation, no empirical facts. Cross-checks use mathematically independent methods (addition-based vs subtraction-based search, plus modular analysis).
- **Rule 7:** `compare()` imported from `scripts/computations.py` for all claim evaluations. No hard-coded constants or formulas.
- **validate_proof.py result:** PASS (13/13 checks passed, 0 issues, 0 warnings)

*Source: author analysis*

## Generator

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Generated by [proof-engine](https://github.com/yaniv-golan/proof-engine) v0.10.0 on 2026-03-28.