Home Statistical Dictionary Galton-Watson Process

Galton-Watson Process

The classical branching process in which every individual, across all generations, produces offspring according to the same fixed probability distribution, independently of everyone else, originally devised to study the extinction of family surnames.

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In Plain English

The Galton-Watson process is the specific, original branching process, named for Francis Galton and Henry William Watson, who in 1873-1874 studied why aristocratic family surnames kept dying out. Every individual, in every generation, rolls the same offspring-count dice independently, no favoritism, no changing rules over time. Despite this simplicity, the model produces a rich and surprising result: the extinction probability can be computed exactly as the smallest fixed point of the offspring distribution's probability generating function, one of the most elegant applications of generating functions in all of probability theory.

Definition

A Galton-Watson process is a branching process with (typically), where each individual in generation independently produces offspring according to a common probability distribution (the same distribution for every individual, in every generation), so that , with i.i.d. draws from . Letting denote the offspring distribution's probability generating function, the extinction probability is the smallest solution in of the fixed-point equation . If the mean offspring number (subcritical or critical), then , extinction is certain; if (supercritical), then , and the process survives with positive probability . On the event of survival, a supercritical Galton-Watson process grows geometrically, converges almost surely to a non-degenerate random limit (a consequence of Doob's martingale convergence theorem, since is a martingale).

Formula

Notation

—Population size at generation $n$
—Probability generating function of the offspring distribution
—Extinction probability, the smallest fixed point of $\phi$ in $[0,1]$

Properties

  • Originally motivated by an 1873 puzzle about why aristocratic English surnames kept vanishing over generations, the Galton-Watson process's extinction analysis (via probability generating functions) remains, over 150 years later, the standard textbook technique for computing exact extinction probabilities.
  • The extinction-probability fixed-point equation always has as one solution (since for any valid probability generating function), the real content of the theorem is identifying when a smaller root also exists, exactly when the mean offspring number exceeds 1.
  • Beyond surname genealogy, the same mathematics underlies epidemic outbreak extinction probabilities (will an infection chain die out, given each case's number of secondary infections?) and nuclear chain reaction criticality, both direct real-world reinterpretations of the same subcritical/critical/supercritical trichotomy.

At a Glance

Offspring countsi.i.d. across all individuals and all generations (the key simplifying assumption)
Extinction probability, the smallest solution in of
Certain extinctionwhen mean offspring (subcritical or critical)
Possible survivalwhen (supercritical), with probability
Last updated September 8, 2026← Back to the Dictionary