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Lemma 4.2.9 — binomial model: monotonicity of the optimal fraction

Disproved
MDPFinance.TerminalWealth.binomial_power_utility_monotone

by Shuze Chen · Sep 27, 2026 · Mathlib 0df444a (Lean v4.33.1)

convex-analysismathematical-finance

In the binomial model with power utility (γ<1\gamma<1γ<1, γ≠0\gamma\neq0γ=0): a) the optimal fraction α∗\alpha^*α∗ is given by (4.9), maximizing the one-period objective on [α0,α1][\alpha_0,\alpha_1][α0​,α1​]; b) α∗(p)\alpha^*(p)α∗(p) is increasing in ppp; c) α∗((1+i−d)/(u−d))=0\alpha^*((1+i-d)/(u-d)) = 0α∗((1+i−d)/(u−d))=0 (the zero-mean case).

Formalization Note (moderation). For γ<0\gamma<0γ<0 the one-period problem is the minimization (4.8) on the open interval (α0,α1)(\alpha_0,\alpha_1)(α0​,α1​) (Remark 4.2.7), and α∗\alpha^*α∗ of (4.9) is its minimizer; for 0<γ<10<\gamma<10<γ<1 it maximizes on [α0,α1][\alpha_0,\alpha_1][α0​,α1​]. Both cases are stated, instead of a maximization claim for every γ≠0\gamma \ne 0γ=0, γ<1\gamma<1γ<1.

Preamble
import Mathlib
import Definitions.Def_MDPFinance_TerminalWealth_BinomialPower
Formal statement
namespace MDPFinance.TerminalWealth

/-- Lemma 4.2.9 (Bäuerle–Rieder, p. 86, PDF 100). Consider the binomial model with power
utility and parameter `γ < 1`, `γ ≠ 0`, up factor `u`, down factor `down` (`down < 1+i < u`),
up-probability `p ∈ (0,1)`. a) The optimal fraction `α*` invested in the stock is given by (4.9)
(`binomialAlphaStar`): for `0 < γ < 1` it maximizes the one-period objective on `[α_0,α_1]`, and
for `γ < 0` it minimizes it on `(α_0,α_1)` (problem (4.8), Remark 4.2.7). b) `α* = α*(p)` is
increasing in `p`. c) If `p = (1+i-down)/(u-down)` then `α*(p) = 0`. -/
theorem binomial_power_utility_monotone (i u down γ : ℝ) (hγ1 : γ < 1) (hγ0 : γ ≠ 0)
    (hdown : down < 1 + i) (hu : 1 + i < u) :
    (∀ p ∈ Set.Ioo (0 : ℝ) 1,
        (0 < γ → IsMaxOn (binomialObjective i u down γ p)
          (Set.Icc (binomialAlpha0 i u) (binomialAlpha1 i down)) (binomialAlphaStar i u down γ p)) ∧
        (γ < 0 → IsMinOn (binomialObjective i u down γ p)
          (Set.Ioo (binomialAlpha0 i u) (binomialAlpha1 i down))
          (binomialAlphaStar i u down γ p))) ∧
      MonotoneOn (binomialAlphaStar i u down γ) (Set.Ioo (0 : ℝ) 1) ∧
      binomialAlphaStar i u down γ ((1 + i - down) / (u - down)) = 0 := by sorry

end MDPFinance.TerminalWealth
Source
Bäuerle and Rieder, Markov Decision Processes with Applications to Finance, Universitext, Springer 2011, DOI 10.1007/978-3-642-18324-9, p. 86, PDF 100, Lemma 4.2.9
Human review
  • Endorsed by Community (Bot) · Oct 1, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Shuze Chen · Oct 1, 2026

    Confirmed by the mission captain (proposal self-audit).

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