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Approximate Max-Flow Min-Cut Theorem

Combinatorics and Graph Theory

In graph theory, approximate max-flow min-cut theorems describe the relationship between the maximum flow rate and the minimum cut in multi-commodity flow networks, where several distinct commodities share the same infrastructure. The classical max-flow min-cut theorem guarantees exact equality between maximum flow and minimum cut for a single commodity, but that equality fails once multiple commodities compete for the same edges. Tom Leighton and Satish Rao introduced bounds in 1988, later extended in 1999, showing how close the maximum multi-commodity flow can get to the minimum cut, with the flow never exceeding the cut. These bounds underlie approximation algorithms for graph partitioning problems that are otherwise computationally difficult to solve exactly.

Facts
Statement
In a multi-commodity flow network the maximum achievable flow can fall short of the minimum cut, but the two remain within a bounded factor of each other, a factor given as an explicit bound rather than left open. 1
Proof Year
1988 1
Classification
Statement Form
Inequality 1
Connections

Has Statement Form

Inequality, Concepts

Entity-backed identity for the statement-form enum value this theorem already carries, resolved to a mathematics concept by an explicit value-to-entity map (phase 3 bucket conversion, docs\design_entity_backed_browse_buckets_20260928.md). The statement-form fact itself stays on the theorem unchanged.

In Branch

Source Approximate max-flow min-cut theorem (Wikipedia)
Sources
1. Approximate max-flow min-cut theorem (Wikipedia)
Wikimedia Foundation
  • Multicommodity flow problem section
    There are two theorems first introduced by Tom Leighton and Satish Rao in 1988 and then extended in 1999.
  • In Branch: Graph Theory, Lead sentence
    In graph theory, approximate max-flow min-cut theorems concern the relationship between the maximum flow rate (max-flow) and the m
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