Dual Random Utility Maximisation
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Proof. Let p satisfy Constant Expansion, Regularity and Negative Expansion, let a ∈<br />
B ⊆ A and b ∈ X and suppose by contradiction that p (a, A) > p (a, A ∪ {b}) but<br />
p (a, B) ≤ p (a, B ∪ {b}). Since by Regularity p (a, B) ≥ p (a, B ∪ {b}), it can only be<br />
p (a, B) = p (a, B ∪ {b}). Also, by Regularity it must be p (a, B) ≥ p (a, A). However<br />
it cannot be p (a, B) = p (a, A), for in that case p (a, B ∪ {b}) = p (a, A) and Constant<br />
Expansion would imply the contradiction p (a, A ∪ {b}) = p (a, (B ∪ {b}) ∪ A) =<br />
p (a, A) > p (a, A ∪ {b}). So it must be p (a, B) > p (a, A), and the only possible configuration<br />
of choice probabilities is p (a, B) = p (a, B ∪ {b}) > p (a, A) > p (a, A ∪ {b}).<br />
Now w.l.o.g. let α > 1 − α. It cannot be that p (a, B ∪ {b}) = α and p (a, A) =<br />
1 − α, since then Negative Expansion and p (a, B) ̸= p (a, A) imply the contradiction<br />
p (a, A ∪ B) = p (a, A) = 0 > p (a, A ∪ {b}). Similarly, it cannot be p (a, A) =<br />
α > p (a, A ∪ {b}) = 1 − α, for again Negative Expansion implies the contradiction<br />
p (a, A ∪ {b}) = p (a, A ∪ (A ∪ {b})) = 0 ̸= 1 − α = p (a, A ∪ {b}). The only remaining<br />
possibility is p (a, B ∪ {b}) = p (a, B) = 1, p (a, A) ∈ {α, 1 − α} and p (a, A ∪ {b}) =<br />
0. By Regularity, p (a, B ∪ {b}) = 1 implies p (a, {a, b}) = 1. Moreover if p (a, A) ><br />
p (a, A ∪ {b}) it must be p (b, A ∪ {b}) > 0 (if not, then there exist x, y ∈ A such<br />
that p (x, A ∪ {b}) , p (y, A ∪ {b}) > 0 and p (x, A ∪ {b}) + p (y, A ∪ {b}) = 1, where<br />
possibly x = y while a ̸= x, y since p (a, A ∪ {b}) = 0. But then by Regularity<br />
p (x, A) ≥ p (x, A ∪ {b}) and p (y, A) ≥ p (y, A ∪ {b}), implying the contradiction<br />
p (a, A) = 0). But if p (b, A ∪ {b}) > 0 the contradiction p (b, {a, b}) > 0 follows. We<br />
conclude that Contraction Consistency holds.<br />
□<br />
Theorem 2 A stochastic choice rule is a dRUM if and only if it satisfies Regularity, Weak<br />
Constant Expansion, Negative Expansion and Contraction Consistency.<br />
Proof. Necessity is straightforward, so we show sufficiency.<br />
Preliminaries and outline Let p satisfy Regularity, Weak Constant Expansion, Negative<br />
Expansion and Contraction Consistency. The proof consists of three blocks: first<br />
we define an algorithm to construct two rankings r 1 and r 2 explicitly (block 1), then we<br />
show that the algorithm is well defined (block 2), and finally we show that r 1 and r 2 so<br />
constructed retrieve p (block 3).<br />
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