pith. sign in
def

coreOperatorPairBudget

definition
show as:
module
IndisputableMonolith.NavierStokes.DiscreteNSOperator
domain
NavierStokes
line
178 · github
papers citing
none yet

plain-language theorem explainer

coreOperatorPairBudget computes the aggregate pair budget for a discrete incompressible Navier-Stokes flow by summing pairEventBudget over the derived pair events extracted from the core velocity and topology data. Discrete fluid modelers and Recognition Science researchers deriving Navier-Stokes operators from lattice primitives cite it when constructing the full operator surface from physical data alone. The definition is a direct one-line composition of indexedPairBudget applied to corePairEvent.

Claim. Let $op$ be a CoreNSOperator on a lattice with $N$ sites. The core operator pair budget is $B = total_{i=0}^{N-1} pairEventBudget(corePairEvent(op,i))$, where corePairEvent derives amplitude and stretch factor at each site from the divergence-free velocity field and its discrete gradients.

background

The module builds a concrete discrete incompressible Navier-Stokes operator on a finite three-direction lattice. CoreNSOperator stores only the physical data: LatticeTopology, spacing $h>0$, viscosity $ν>0$, divergence-free velocity VectorField, and transport flux; pair-budget and absorption fields are absent and derived later. corePairEvent extracts the PairEvent (amplitude, stretchFactor) at each site from the velocity gradient and Laplacian. indexedPairBudget sums the individual pairEventBudget values over the finite lattice window.

proof idea

One-line wrapper that applies indexedPairBudget to corePairEvent op.

why it matters

This supplies the total derived pair budget required by the downstream theorems coreOperatorPairBudget_nonneg, core_pair_budget_absorbed, and core_stretching_absorbed. It completes the DerivedEstimates layer that turns the bare CoreNSOperator into the full IncompressibleNSOperator whose pair-budget fields are constructed rather than assumed. In the Recognition framework it supports lattice derivations of incompressible flow consistent with the forcing chain and recognition composition law.

Switch to Lean above to see the machine-checked source, dependencies, and usage graph.