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Counts of vertices of each degree
PDF p. 35: Section 6.2 opening
Definition
Let be an integer, , and be the random simple graph on in which distinct possible edges occur independently with probability . For a vertex , its degree is the number of vertices adjacent to it. For each integer , define , , and . Here an indicator is one when its displayed event occurs and zero otherwise. Thus these variables count vertices of degree exactly , at most , and at least , respectively.
Put , where denotes the law of the sum of independent Bernoulli variables; each such variable is one with probability and zero with probability . When , the sum is zero.
Definition references
Facts & Assumptions
Given: An integer , , and the random graph and integer threshold in the definition.
Goal: Verify that the counts and are well defined.
The law of is a probability law on the finite set of simple graphs on (Erdős–Rényi random graph and high probability). The degree of a vertex is the finite row sum of its adjacency matrix (Adjacency, degrees, graph Laplacian, and spectral notation).
An event indicator is one on its event and zero otherwise (The indicator random variable of an event).
The binomial law is the law of a sum of independent Bernoulli variables, with the empty sum equal to zero (Bernoulli random variables and binomial random variables as sums of independent Bernoulli trials).
Justification
Given: The data in Facts & Assumptions.
Goal: Establish that the displayed notation has the stated meaning.
1.1 By [F1], every graph outcome has a definite degree at each of its finitely many vertices. Each degree comparison therefore determines an event. By [F2], its indicator is defined and contributes one exactly for a vertex satisfying the comparison. The three finite sums consequently give the three stated counts on every outcome. [F1, F2]
2.1 Since is a nonnegative integer, [F3] defines the binomial law, including the empty-sum case. Its probability of the event that the sum equals is therefore a well-defined number . Together with step 1.1 this establishes the notation. [given, F3, step 1.1] ∎
Source notes
The degree-count and notation is attributed to the article, Section 6.2 opening. The justification above uses the stated mathematical suppliers.
Depends on
Used by · 6
- Binomial approximation for vertex degree counts
- Lower degree-tail count estimate — Lemma 6.7
- Upper degree-tail count estimate — Lemma 6.8
- Expected degree-count bound and logarithmic factorial estimate
- Rounded degree thresholds and expectation bounds
- Valid restricted spectral tails and a counterexample to the shifted degree-failure conclusion
Dependency tree · 2 levels
Each result is drawn at its shortest distance from this item. Arrows run from prerequisites to the items that use them; this item has a heavier outline. External source nodes link directly to the cited text. The view shows up to two dependency steps; open a prerequisite to continue.
Sources
- Expander graphs are globally synchronizing · PDF p. 35, Section 6.2 opening