Finite flow network
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This English edition is an AI candidate and does not yet have an OCME Atlas (GPT-6) Twin closure receipt.
A nonnegative flow in a finite directed network must respect every edge capacity and conserve flow at each vertex other than source and sink.
mko-finite-flow-network · definition · v0.10.0
Mathematical statement
Use a finite loop-free simple directed graph with distinct source s and sink t. Antiparallel edges are allowed, but each ordered pair appears at most once. Valid capacities/flows are exact nonnegative rationals. Feasibility requires0≤f(e)≤c(e) and complete inflow=outflow at every internal vertex. Cross-check source net outflow against sink net inflow. Zero capacities and disconnected vertices are legal. Feasibility is not maximum flow; no min-cut equality or augmenting-path optimality is claimed ahead of its theorem.
Representative formula (exact TeX)
V(f,s,t)=z
Assumptions
- Vertices, edges, capacity and flow keys correspond completely one-to-one; no loops or duplicate directed edges.
- Every sum uses exact rational arithmetic.
Symbol scope
V— flow-value operatorf— finite edge flows— source vertext— sink vertexz— exact flow value
Intuition, definition, and misconceptions
Network qualification fixes the directed-edge convention first.
Capacity and conservation are separate feasibility obligations.
Source and sink flow-value calculations must agree.
A total flow value alone does not check each edge or internal vertex, and a feasible flow is not automatically maximum.
Adopted derivation guide
Checking every edge and internal vertex of a feasible flowThe original MKO is retained. The guide has its own append-only revision and verification boundaries, not a new Lean proof.
Prerequisites
- Finite directed graph — Fix the network carrier.
- Function mapping — Capacities and flows map edges to values.
- Linear programming — Capacity and conservation are constraints.
Verification boundary
This slice does not build max-flow/min-cut, residual networks or an optimality proof.
not_formalized
This does not mean the content is false; it means no replayable computational or formal evidence is registered yet.
Next obligation
Add the max-flow min-cut theorem.
Same-source structured data
This page and the interactive view use the same object and existing language edition; this adds no proof or human review.
Canonical MKO JSON · Plain Markdown