Mosco Stability and Convergence for Meta-Variational Principle #
This file implements Phase G of the meta-variational principle, establishing stability results under Mosco convergence and continuity of the effective parameters.
Main definitions #
MoscoConvergence
: Mosco convergence of heat semigroupsMoscoFlags
: Flags for Mosco convergence conditionsdm_converges_from_Mosco
: Convergence of modified distancesEVI_flow_converges
: Convergence of EVI gradient flowslam_eff_liminf
: Lower semicontinuity of effective lambda
Implementation notes #
Mosco convergence ensures stability of the meta-variational principle under approximation, which is crucial for numerical implementations and limiting procedures.
Surrogate for finite relative entropy: absolute continuity ρ ≪ μ. In full generality, finite relative entropy implies absolute continuity. We adopt this as a lightweight, checkable hypothesis here.
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Second moment finiteness: existence of a center with finite squared distance
moment. Uses the extended nonnegative integral of dist(·,x₀)^2
.
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- Frourio.SecondMomentFinite ρ = ∃ (x₀ : X), ∫⁻ (x : X), ENNReal.ofReal (dist x x₀ ^ 2) ∂ρ < ⊤
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Mosco convergence of a sequence of heat semigroups to a limit semigroup. This captures both strong and weak convergence properties.
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- One or more equations did not get rendered due to their size.
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Convergence of multi-scale configurations
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- One or more equations did not get rendered due to their size.
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Boundedness of spectral symbols along a sequence
- bound : ℝ
Uniform bound on spectral sup-norms
The bound is finite and positive
All configurations satisfy the bound
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Flags for Mosco convergence and stability analysis
- mosco_conv : MoscoConvergence H_n H μ
Mosco convergence of heat semigroups
- config_conv : ConfigConvergence cfg_n cfg
Convergence of configurations
- spectral_bound : SpectralBoundedness cfg_n
Uniform boundedness of spectral symbols
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Convergence of modified distances under Mosco convergence
Stronger version with proper space assumption and P2 measures
Convergence of pairwise distances along the Mosco scheme. With the current placeholder definitions (Am ≡ 0), all distances are 0. This lemma provides a concrete, checkable statement that will be upgraded once the action functional is implemented.
Lower semicontinuity of effective lambda under limits
Stability of the FG★ inequality under Mosco limits
Quantitative stability estimate for small perturbations
Continuity of spectral symbol sup-norm along ConfigConvergence
.
With the current placeholder spectralSymbolSupNorm ≡ 1
, this is immediate.
Domain of a quadratic form: functions where the form is finite. For a Dirichlet form, this typically includes functions in L² with finite energy.
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Extended domain for Dirichlet forms with measure
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- Frourio.dirichlet_domain E μ = {φ : X → ℝ | Measurable φ ∧ MeasureTheory.Integrable (fun (x : X) => φ x ^ 2) μ ∧ φ ∈ Frourio.domain E}
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Core domain: dense subset of smooth functions
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Helper: EVI flow placeholder (to be properly defined)
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- Frourio.EVI_flow _H _cfg _Γ _κ _μ ρ₀ _t = ρ₀
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Helper: JKO iterate placeholder (to be properly defined)
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- Frourio.JKO_iterate _H _cfg _Γ _κ μ _Ent _τ ρ₀ _k = ρ₀
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Helper: PLFA-EDE equivalence placeholder
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- Frourio.PLFA_EDE_equivalence _H _cfg _Γ _κ μ _Ent = True
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Mosco convergence of Dirichlet forms implies convergence of heat semigroups
EVI gradient flow convergence from Mosco convergence
JKO scheme convergence from Mosco convergence
Main theorem: Complete Mosco stability chain
Stability under perturbations in the spectral penalty
Mosco convergence preserves the meta-variational structure