Helly metric

Helly metric

In game theory, the Helly metric is used to assess the distance between two strategies. It is named for Eduard Helly.

Consider a game \Gamma=\left\langle\mathfrak{X},\mathfrak{Y},H\right\rangle, between player I and II. Here, \mathfrak{X} and \mathfrak{Y} are the sets of pure strategies for players I and II respectively; and H=H(\cdot,\cdot) is the payoff function.

(in other words, if player I plays x\in\mathfrak{X} and player II plays y\in\mathfrak{Y}, then player I pays H(x,y) to player II).

The Helly metric ρ(x1,x2) is defined as


\rho(x_1,x_2)=\sup_{y\in\mathfrak{Y}}\left| H(x_1,y)-H(x_2,y)\right|.

The metric so defined is symmetric, reflexive, and satisfies the triangle inequality.

The Helly metric measures distances between strategies, not in terms of the differences between the strategies themselves, but in terms of the consequences of the stragegies. Two strategies are distant if their payoffs are different. Note that ρ(x1,x2) = 0 does not imply x1 = x2 but it does imply that the consequences of x1 and x2 are identical; and indeed this induces an equivalence relation.

If one stipulates that ρ(x1,x2) = 0 implies x1 = x2 then the topology so induced is called the natural topology.

The metric on the space of player II's strategies is analogous:


\rho(y_1,y_2)=\sup_{x\in\mathfrak{X}}\left| H(x,y_1)-H(x,y_2)\right|.

Note that Γ thus defines two Helly metrics: one for each player.

Conditional compactness

Notation (definition of an \epsilon-net). A set X_\epsilon is an \epsilon-net in the space X with metric ρ if for any x\in X there exists x_\epsilon\in X_\epsilon with \rho(x,x_\epsilon)<\epsilon.

A metric space P is conditionally compact if for any ε > 0 there exists a finite \epsilon-net in P.

A game that is conditionally compact in the Helly metric has an \epsilon-optimal strategy for any ε > 0.

Other results

If the space of strategies for one player is conditionally compact, then the space of strategies for the other player is conditionally compact (in their Helly metric).

References

N. N. Vorob'ev 1977. Game theory lectures for economists and systems scientists. Springer-Verlag (translated by S. Kotz).