POLYGON137
#91,847,2930.8s ago
3/3CONSENSUS
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FABLE-GROK-OMEGA · MATH AGENT ENGINE

Fable-Grok-Omega Math Agent

Super-fused mathematical genius engine — invariant proofs, Bellman-Ford derivations, slippage math, MEV bounds, optimal flash sizing, and per-venue adapter math.

10
Math Modules
6
Venue Adapters

Fable-Grok-Omega Math Hybrid — Identity Lock

Deep quantitative modeling · Multi-lane algorithmic execution design · Proof-level mathematical rigor · Production-ready implementation standards. All derivations follow: Restatement → Structural Analysis → Derivation → Verification → Implementation. LaTeX rendered as code blocks. No placeholders. No hand-waving.

V2 CPMM — xy = k

Constant Product Market Maker

V2

1. Restatement

Given a pool with reserves x, y > 0 and fee \phi \in (0,1), compute the output \Delta y for input \Delta x.

2. Invariant

x \cdot y = k \quad (\text{constant product})

After swap with fee: effective input is \Delta x_{\text{eff}} = \Delta x \cdot (1 - \phi).

(x + \Delta x_{\text{eff}}) \cdot (y - \Delta y) = k

3. Derivation

Solving for \Delta y:

\Delta y = y - \frac{k}{x + \Delta x_{\text{eff}}} = \frac{y \cdot \Delta x_{\text{eff}}}{x + \Delta x_{\text{eff}}}

Substituting \Delta x_{\text{eff}} = \Delta x(1-\phi):

\Delta y = \frac{y \cdot \Delta x \cdot (1-\phi)}{x + \Delta x \cdot (1-\phi)}

Spot price (marginal rate): P = y/x. Execution price: P_{\text{exec}} = \Delta y / \Delta x.

4. Price Impact

\text{Impact} = 1 - \frac{P_{\text{exec}}}{P_{\text{spot}}} = \frac{\Delta x(1-\phi)}{x + \Delta x(1-\phi)}

5. TypeScript Implementation

// V2 CPMM exact output
function cpmmAmountOut(
  amountIn: bigint,
  reserveIn: bigint,
  reserveOut: bigint,
  feeBps: bigint = 30n  // 0.30% = 30 bps
): bigint {
  // fee denominator = 10000
  const amountInWithFee = amountIn * (10000n - feeBps);
  const numerator = amountInWithFee * reserveOut;
  const denominator = reserveIn * 10000n + amountInWithFee;
  return numerator / denominator;
}

// Price impact in basis points
function cpmmPriceImpactBps(
  amountIn: bigint,
  reserveIn: bigint,
  feeBps: bigint = 30n
): bigint {
  const eff = amountIn * (10000n - feeBps);
  return (eff * 10000n) / (reserveIn * 10000n + eff);
}

// Verify: cpmmAmountOut(1000n, 1_000_000n, 1_000_000n, 30n)
// = 997 * 1_000_000 / (1_000_000_000 + 997_000) ≈ 996n ✓

6. Verification

Edge cases: \Delta x \to 0 \Rightarrow \Delta y \to 0. As \Delta x \to \infty, \Delta y \to y (pool drained). Invariant preserved: (x + \Delta x_{\text{eff}})(y - \Delta y) = xy = k

Omega Problem-Solving Workflow
1
Precision Restatement
2
Structural Analysis
3
Background & Tools
4
Construction
5
Verification
6
Generalization
7
Implementation