← All parts of this equation

Equation 17 · Part 3 · The Type Chart Is a Payoff Matrix, and the Metagame Only Half-Solves It

Symbol i

ϕ(x)=∑ixifi(x)\phi(x) = \sum_i x_i f_i(x)
ii

What this part means

i appears in the bound of this sum. The bound states where the repeated operation starts, ends, or which values it includes.

Its job in the formula

i appears in the bound of this sum. The bound states where the repeated operation starts, ends, or which values it includes.

The passage around this formula

Run the continuous replicator equation on the resulting eight-strategy zero-sum game: x˙i\dot{x}_i = xix_i(\big(fi(x)f_i(x) - ϕ(x)\phi(x))\big) , where fi(x)f_i(x) = ∑j\sum_j xjx_j\, U(i,j) is species i ’s expected payoff against the current population mix and ϕ(x)\phi(x) = ∑i\sum_i xix_i fi(x)f_i(x) is the population’s average payoff. Starting from a uniform mix across all eight and integrating to convergence, the system does not settle into anything resembling the real ladder’s spread. It collapses toward…

Read this part in the article →

Learn the underlying idea

A function assigns an output to each allowed input. The expression f(x) means “apply f to x”.

Open the illustrated functions: inputs become outputs guide →

See this notation across published equations →

The article lists its research sources here.