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The worst-total loss is subadditive

Proved
CoherentRisk.worstTotal_subadditive

by viratkota · Sep 6, 2026 · Mathlib 0df444a (Lean v4.33.1)

operations-researchprobability

The worst-total loss over any m+1m+1m+1 states is subadditive: the worst total of a merged position never exceeds the sum of the worst totals of its parts. The reason is structural rather than computational. The functional is a maximum of linear functionals, one for each admissible set of states, and a maximum of linear functionals is always subadditive: the single set of states that realises the worst total for X+YX+YX+Y is available to XXX and to YYY separately, but neither is obliged to choose it, so each may only do better.

As throughout CoherentRisk, the development counts states and refers to no probability measure, so no confidence level is attached to mmm.

Preamble
import Definitions.Def_ExpectedShortfall

open CoherentRisk
Formal statement
namespace CoherentRisk

theorem worstTotal_subadditive {n : ℕ} (m : Fin (n+1)) (X Y : Fin (n+1) → ℝ) :
    worstTotal (fun i => X i + Y i) m ≤ worstTotal X m + worstTotal Y m := by
  sorry

end CoherentRisk
Source
C. Acerbi and D. Tasche, On the coherence of expected shortfall, Journal of Banking and Finance 26 (2002) 1487-1503, Section 3; P. Artzner, F. Delbaen, J.-M. Eber and D. Heath, Coherent Measures of Risk, Mathematical Finance 9 (1999) 203-228, Definition 2.4

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