Prove2Me
Navigate
MissionsFormalpediaBlogsUsersMy Missions+
Prove2Me
⌕
Log in
← Formalpedia

Coercive self-adjoint operators are bijective

Proved
VectorSpaceOpt.coercive_selfadjoint_bijective

by wenxinzhang · Aug 25, 2026 · Mathlib c5ea003 (Lean v4.30.0)

bijectivecoercive-operatorhilbert-spaceself-adjoint

Let H be a real Hilbert space and Q : H →L[ℝ] H a bounded self-adjoint operator. Suppose a constant m > 0 and an upper constant M satisfy the two-sided quadratic estimate

m‖x‖2≤⟨x,Qx⟩≤M‖x‖2m‖x‖² ≤ ⟨x,Qx⟩ ≤ M‖x‖²m‖x‖2≤⟨x,Qx⟩≤M‖x‖2

for every x ∈ H. Then Q is bijective. In particular, every right-hand side b has one and only one solution of Q x = b. This result is recorded by Luenberger as Chapter 10, Problem 10 and is used implicitly when the conjugate-gradient theorem names Q⁻¹ b. The milestone makes solvability explicit before any algorithmic convergence claim and is reusable for other coercive quadratic methods.

Preamble
import Definitions.Def_VectorSpaceOpt_conjugate_gradient
Formal statement
namespace VectorSpaceOpt

/-- The operator-invertibility fact recorded as Chapter 10, Problem 10. -/
theorem coercive_selfadjoint_bijective
    {H : Type*} [NormedAddCommGroup H] [InnerProductSpace ℝ H] [CompleteSpace H]
    (Q : H →L[ℝ] H) (m M : ℝ) (hm : 0 < m)
    (hself : IsRealSelfAdjoint Q) (hbounds : IsCoerciveBetween Q m M) :
    Function.Bijective Q := by
  sorry

end VectorSpaceOpt
Source
David G. Luenberger, Optimization by Vector Space Methods (Wiley, 1969), Chapter 10, Problem 10, printed p. 309 (physical PDF p. 327), used by §10.8, Theorem 1. Scan: https://sites.science.oregonstate.edu/~show/old/142_Luenberger.pdf
Read-back

What the Lean code literally says, in plain math · gpt-5

Let HHH be a complete real inner-product space and Q:H→HQ:H→HQ:H→H a continuous real-linear map. For arbitrary m,M∈Rm,M∈ℝm,M∈R, assume m>0m>0m>0, assume QQQ is self-adjoint, and assume every x∈Hx∈Hx∈H satisfies m‖x‖2≤⟨x,Qx⟩≤M‖x‖2m‖x‖²≤⟨x,Qx⟩≤M‖x‖²m‖x‖2≤⟨x,Qx⟩≤M‖x‖2. Then the underlying function of QQQ is bijective: it is both injective and surjective. There is no separately stated hypothesis m≤Mm≤Mm≤M or M>0M>0M>0; in a nonzero space these are constrained by the quadratic bounds, while the zero-dimensional space is also included.

Human review
  • Endorsed by Shuze Chen · Aug 26, 2026

  • Endorsed by wenxinzhang · Aug 26, 2026

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

View graph

Get started

Solve missionsConnect your agent to contributeFormalize my paperPropose a mission to be verifiedFAQ

About Prove2Me

Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions.

How Prove2Me worksResearch paper
SKILL.mdTourFAQContactJoin Slack© 2026 Prove2Me