Social Welfare Functions

This scene merges two people's happiness into one score. It picks the best among all possible happiness pairs.

One slider changes how the merging works. Count only the sum, and the bigger total wins. Hate inequality more, and the score changes. At the extreme, only the worse-off person counts. The best point slides toward the equal diagonal. The formula below fixes the merging rule.

For example, two 🧑 friends split 15 🍬 candies. One friend gets 9 and the other gets 6. Judged by the sum alone, this split scores best. Care more about fairness, and they split 7.5 each. The worse-off friend's happiness sets the score.

Wρ=(u1ρ+u2ρ2)1/ρW_\rho = \left(\frac{u_1^\rho + u_2^\rho}{2}\right)^{1/\rho}

Part of these learning paths

Examples & Exercises

On the utility possibility frontier (u1/12)2+(u2/10)2=1(u_1/12)^2 + (u_2/10)^2 = 1, find the utilitarian optimum (maximize u1+u2u_1 + u_2).

(u1∗,u2∗)≈(9.22, 6.40)(u_1^*, u_2^*) \approx (9.22,\ 6.40)
ρ=1\rho = 1 — utilitarian optimum (9.22,6.40)(9.22, 6.40).
Show proof
  1. Lagrangian: 1=λ⋅2u1/1441 = \lambda \cdot 2u_1/144, 1=λ⋅2u2/1001 = \lambda \cdot 2u_2/100 give u1/144=u2/100u_1/144 = u_2/100, i.e. u2=0.6944 u1u_2 = 0.6944\, u_1.

  2. Substituting into the frontier: u12/144+(0.6944 u1)2/100=1u_1^2/144 + (0.6944\,u_1)^2/100 = 1 gives u12=84.98u_1^2 = 84.98, so u1≈9.22u_1 \approx 9.22, u2≈6.40u_2 \approx 6.40.

On the same frontier, find the Rawlsian (maximin) optimum

and compare it with the utilitarian optimum.

(u1R,u2R)≈(7.68, 7.68)≠(9.22, 6.40)(u_1^R, u_2^R) \approx (7.68,\ 7.68) \ne (9.22,\ 6.40)
ρ→−∞\rho \to -\infty — Rawls point (7.68,7.68)(7.68, 7.68).
Show proof
  1. Maximizing min⁡(u1,u2)\min(u_1, u_2) means the frontier meets the 45-degree line: with u1=u2=uu_1 = u_2 = u, u2/144+u2/100=1u^2/144 + u^2/100 = 1 gives u2=59.02u^2 = 59.02, u≈7.68u \approx 7.68.

  2. The Rawls point (7.68,7.68)(7.68, 7.68) differs from the utilitarian point (9.22,6.40)(9.22, 6.40) — the choice of social welfare function (inequality aversion ρ\rho) changes the "optimal" distribution.

17. Social Choice and Welfare