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Oriented edge count between sets
PDF p. 18: Section 3 opening
Definition
Let be a finite undirected graph with nonempty vertex set, at most one edge between any pair of vertices, and possible self-loops. Its adjacency entry is if and otherwise, with representing a loop. For subsets , define
This is an ordered-pair count: a non-loop edge with both endpoints in contributes twice, while a loop at a vertex of contributes once. If and are disjoint, each edge with one endpoint in and the other in contributes once. Write for the set of vertices outside .
Definition references
Adjacency, degrees, graph Laplacian, and spectral notation
Finite symmetric networks and loop removal
Ordered edge counts and centered cut vectors
A finite sum in a commutative monoid indexed by an arbitrary finite set
The difference a ∖ b, the symmetric difference a △ b, and the complement X ∖ a relative to a set X
The intersection ⋂ x of a nonempty set, the binary intersection a ∩ b := ⋂{a,b}, and disjointness
The Cartesian product A × B := { z ∈ P(P(A ∪ B)) : ∃ a ∈ A ∃ b ∈ B z = (a,b) }
Facts & Assumptions
The graph adjacency matrix is symmetric and binary, and its diagonal entries record loops (Adjacency, degrees, graph Laplacian, and spectral notation).
A nonempty finite vertex set with a symmetric nonnegative matrix is a network; diagonal entries are allowed (Finite symmetric networks and loop removal).
For a network, the ordered count between subsets is the displayed finite double sum (Ordered edge counts and centered cut vectors). Finite sums are defined independently of the ordering of their finite index sets (A finite sum in a commutative monoid indexed by an arbitrary finite set).
The difference consists of the elements of that are not in (The difference a ∖ b, the symmetric difference a △ b, and the complement X ∖ a relative to a set X).
Binary intersection consists of elements belonging to both and , and the sets are disjoint when (The intersection ⋂ x of a nonempty set, the binary intersection a ∩ b := ⋂{a,b}, and disjointness).
The Cartesian product consists exactly of ordered pairs with and (The Cartesian product A × B := { z ∈ P(P(A ∪ B)) : ∃ a ∈ A ∃ b ∈ B z = (a,b) }).
Justification
Given: A graph and subsets as in the definition.
Goal: Verify that the count and complement are well defined and that the stated edge-counting conventions follow from the formula.
1.1 By [F1], is symmetric and nonnegative, so [F2] makes it a network. The two index sets are finite, and [F3] gives the ordered count as a well-defined finite sum, independent of any ordering used to enumerate them. By [F4], is precisely the complement of relative to . [given, F1, F2, F3, F4]
2.1 By [F6], every nonzero summand corresponds to an ordered pair whose endpoints form an edge. By [F5], consists of vertices belonging to both sets, and disjointness means . If distinct endpoints both lie in , both orders occur and contribute each; a loop there supplies only the single pair . If , a crossing edge has exactly one endpoint in and one in , so exactly one of its two orders lies in , and no loop occurs. Thus the stated conventions follow. [F1, F5, F6, step 1.1] ∎
Source notes
The notation and the convention that a loop contributes once to the degree are attributed to the opening of Section 3 of Expander graphs are globally synchronizing. The counting interpretation above follows from the displayed definition and the stated graph convention.
Depends on
- Adjacency, degrees, graph Laplacian, and spectral notation
- Finite symmetric networks and loop removal
- Ordered edge counts and centered cut vectors
- A finite sum in a commutative monoid indexed by an arbitrary finite set
- The difference a ∖ b, the symmetric difference a △ b, and the complement X ∖ a relative to a set X
- The intersection ⋂ x of a nonempty set, the binary intersection a ∩ b := ⋂{a,b}, and disjointness
- The Cartesian product A × B := { z ∈ P(P(A ∪ B)) : ∃ a ∈ A ∃ b ∈ B z = (a,b) }
Used by · 15
- Nested-cut polarization identity
- Internal-edge mixing bound — Lemma 3.3
- Disjoint-set lower mixing needs additional hypotheses
- Cut test-vector identities for Laplacian mixing
- Cut-edge mixing bound — Lemma 3.4
- Total incident edge bounds — Lemma 3.6
- Mixing for two nearby nested sets — Lemma 3.7
- Relative mixing for a small nested set — Lemma 3.8
- Edge isoperimetric constant convention
- Cheeger lower bound — Remark 3.5
- Strict forms of the nested mixing estimates — Remark 3.9
- Kernel bounds on three phase regions
- Almost antisymmetry and summed kernel bounds
- Small-set amplification — Lemma 4.2
- Large-set amplification — Lemma 4.3
Dependency tree · 2 levels
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Sources
- Expander graphs are globally synchronizing · PDF p. 18, opening of Section 3