Dubins–Spanier theorems

The Dubins–Spanier theorems are several theorems in the theory of fair cake-cutting. They were published by Lester Dubins and Edwin Spanier in 1961.[1] Although the original motivation for these theorems is fair division, they are in fact general theorems in measure theory.

Setting

There is a set U, and a set \mathbb{U} which is a sigma-algebra of subsets of U.

There are n partners. Every partner i has a personal value measure V_i: \mathbb{U} \to \mathbb{R}. This function determines how much each subset of U is worth to that partner.

Let X a partition of U to k measurable sets: U = X_1 \sqcup \cdots \sqcup X_k. Define the matrix M_X as the following n\times k matrix:

M_X[i,j] = V_i(X_j)

This matrix contains the valuations of all players to all pieces of the partition.

Let \mathbb{M} be the collection of all such matrices (for the same value measures, the same k, and different partitions):

\mathbb{M} = \{M_X \mid X\text{ is a }k\text{-partition of U}\}

The Dubins–Spanier theorems deal with the topological properties of \mathbb{M}.

Statements

If all value measures V_i are countably-additive and nonatomic, then:

This was already proved by Dvoretzky, Wald, and Wolfowitz. [2]

Corollaries

Consensus partition

A cake partition X to k pieces is called a consensus partition with weights w_1, w_2, \ldots, w_k (also called exact division) if:

\forall i \in \{1,\dots, n\}: \forall j \in \{1,\dots, k\}: V_i(X_j) = w_j

I.e, there is a consensus among all partners that the value of piece j is exactly w_j.

Suppose, from now on, that w_1, w_2, \ldots, w_k are weights whose sum is 1:

\sum_{j=1}^k w_j =1

and the value measures are normalized such that each partner values the entire cake as exactly 1:

\forall i \in \{1,\dots, n\}: V_i(U) = 1

The convexity part of the DS theorem implies that:[1]:5

If all value measures are countably-additive and nonatomic,
then a consensus partition exists.

PROOF: For every j \in \{1,\dots, k\}, define a partition X^j as follows:

X^j_j = U
\forall r\neq j: X^j_r = \emptyset

In the partition X^j, all partners value the j-th piece as 1 and all other pieces as 0. Hence, in the matrix M_{X^j}, there are ones on the j-th column and zeros everywhere else.

By convexity, there is a partition X such that:

M_X = \sum_{j=1}^k w_j\cdot M_{X^j}

In that matrix, the j-th column contains only the value w_j. This means that, in the partition X, all partners value the j-th piece as exactly w_j.

Note: this corollary confirms a previous assertion by Hugo Steinhaus. It also gives an affirmative answer to the problem of the Nile provided that there are only a finite number of flood heights.

Super-proportional division

A cake partition X to n pieces (one piece per partner) is called a super-proportional division with weights w_1, w_2, ..., w_n if:

\forall i \in 1\dots n: V_i(X_i) > w_i

I.e, the piece allotted to partner i is strictly more valuable for him than what he deserves.

Let w_1, w_2, ..., w_n be weights whose sum is 1, and assume that the value measures are normalized such that each partner values the entire cake as exactly 1.

A necessary condition for the existence of super-proportional divisions is that the value measures are not identical. PROOF: if the value measures are identical, then the sum of values of the pieces is exactly 1. Hence, it is not possible that all partners receive more than their fair share (if one gets more, another must get less).

The convexity part of the DS theorem implies that:[1]:6

If all value measures are countably-additive and nonatomic,
and if there are two partners i,j such that V_i\neq V_j,
then a super-proportional division exists.

I.e, the necessary condition is also sufficient.

PROOF: Suppose w.l.o.g. that V_1 \neq V_2. Then there is some piece of the cake, Z\subseteq U, such that V_1(Z)>V_2(Z). Let \overline{Z} be the complement of Z; then V_2(\overline{Z})>V_1(\overline{Z}). This means that V_1(Z) + V_2(\overline{Z}) > 1. However, w_1+w_2\leq 1. Hence, either V_1(Z)>w_1 or V_2(\overline{Z})>w_2. Suppose w.l.o.g. that the former is true.

Define the following partitions:

Here, we are interested only in the diagonals of the matrices M_{X^j}, which represent the valuations of the partners to their own pieces:

By convexity, for every set of weights z_1, z_2, ..., z_n there is a partition X such that:

M_X = \sum_{j=1}^k {z_j\cdot M_{X^j}}

It is possible to select the weights z_i such that, in the diagonal of M_X, the entries are in the same ratios as the weights w_i. Since we assumed that V_1(Z)>w_1, it is possible to prove that \forall i \in 1\dots n: V_i(X_i) > w_i, so X is a super-proportional division.

Utilitarian-optimal division

A cake partition X to n pieces (one piece per partner) is called utilitarian-optimal if it maximizes the sum of values. I.e, it maximizes:

\sum_{i=1}^n{V_i(X_i)}

Utilitarian-optimal divisions do not always exist. For example, suppose U is the set of positive integers. There are two partners. Both value the entire set U as 1. Partner 1 assigns a positive value to every integer and partner 2 assigns zero value to every finite subset. From a utilitarian point of view, it is best to give partner 1 a large finite subset and give the remainder to partner 2. When the set given to partner 1 becomes larger and larger, the sum-of-values becomes closer and closer to 2, but it never approaches 2. So there is no utilitarian-optimal division.

The problem with the above example is that the value measure of partner 2 is finitely-additive but not countably-additive.

The compactness part of the DS theorem immediately implies that:[1]:7

If all value measures are countably-additive and nonatomic,
then a utilitarian-optimal division exists.

In this special case, non-atomicity is not required: if all value measures are countably-additive, then a utilitarian-optimal partition exists.[1]:7

Leximin-optimal division

A cake partition X to n pieces (one piece per partner) is called leximin-optimal with weights w_1, w_2, ..., w_n if it maximizes the lexicographically-ordered vector of relative values. I.e, it maximizes the following vector:

{V_1(X_1) \over w_1}, {V_2(X_2) \over w_2}, \dots , {V_n(X_n) \over w_n}

where the partners are indexed such that:

{V_1(X_1) \over w_1} \leq {V_2(X_2) \over w_2} \leq \dots \leq {V_n(X_n) \over w_n}

A leximin-optimal partition maximizes the value of the poorest partner (relative to his weight); subject to that, it maximizes the value of the next-poorest partner (relative to his weight); etc.

The compactness part of the DS theorem immediately implies that:[1]:8

If all value measures are countably-additive and nonatomic,
then a leximin-optimal division exists.

Further developments

See also

References

  1. 1 2 3 4 5 6 Dubins, Lester Eli; Spanier, Edwin Henry (1961). "How to Cut a Cake Fairly". The American Mathematical Monthly 68: 1. doi:10.2307/2311357. JSTOR 2311357.
  2. Dvoretzky, A.; Wald, A.; Wolfowitz, J. (1951). "Relations among certain ranges of vector measures". Pacific Journal of Mathematics 1: 59. doi:10.2140/pjm.1951.1.59.
  3. Dall'Aglio, Marco (2001). "The Dubins–Spanier optimization problem in fair division theory". Journal of Computational and Applied Mathematics 130: 17. doi:10.1016/S0377-0427(99)00393-3.
  4. Neyman, J (1946). "Un théorèm dʼexistence". C. R. Acad. Sci. 222: 843–845.
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