AutoSamplingTheory.TechnicalLemmas.Analysis.PairingRockafellarSupportGradient
2 named declarations scanned from AutoSamplingTheory/TechnicalLemmas/Analysis/PairingRockafellarSupportGradient.lean.
Declarations
theorem AutoSamplingTheory.TechnicalLemmas.Analysis.PairingRockafellarSupportGradient.eq_gradient_of_properSupportsAt_of_mem_interior Partial Not mapped
- At an interior differentiability point of an extended-real potential's finite domain, every honest extended-real supporting vector is the gradient of the finite real representative.
theorem eq_gradient_of_properSupportsAt_of_mem_interior
{Phi : E → WithTop ℝ} {x y : E}
(hsupport : ProperSupportsAt Phi x y)
(hx : x ∈ interior (EffectiveDomain Phi))
(hdiff : DifferentiableAt ℝ (finitePart Phi) x) :
y = gradient (finitePart Phi) x := by
have hsupportOn :
SupportsOn (EffectiveDomain Phi) (finitePart Phi) x y := by
intro z hz
exact finitePart_support_on_effectiveDomain hsupport z hz
exact eq_gradient_of_supportsOn_of_hasFDerivAt
hsupportOn
(mem_interior_iff_mem_nhds.mp hx)
hdiff.hasGradientAt.hasFDerivAt
/-- Relation-point specialization for the proper list-based Rockafellar
potential. Closed-chain monotonicity supplies the support relation; interior
membership and differentiability perform the final analytic collapse. -/
AutoSamplingTheory/TechnicalLemmas/Analysis/PairingRockafellarSupportGradient.lean:37published source at 0e31a3cda412
theorem AutoSamplingTheory.TechnicalLemmas.Analysis.PairingRockafellarSupportGradient.snd_eq_gradient_of_mem_of_mem_interior Partial Not mapped
- Relation-point specialization for the proper list-based Rockafellar potential. Closed-chain monotonicity supplies the support relation; interior membership and differentiability perform the final analytic collapse.
theorem snd_eq_gradient_of_mem_of_mem_interior
{base : E × E} {Gamma : Set (E × E)}
(hbase : base ∈ Gamma)
(hclosed : PairingClosedChain.PairingClosedChainMonotone Gamma)
{x y : E} (hxy : (x, y) ∈ Gamma)
(hx : x ∈ interior
(EffectiveDomain (properRockafellarPotential base Gamma)))
(hdiff : DifferentiableAt ℝ
(finitePart (properRockafellarPotential base Gamma)) x) :
y = gradient (finitePart (properRockafellarPotential base Gamma)) x := by
exact eq_gradient_of_properSupportsAt_of_mem_interior
(properSupportsAt_of_mem hbase hclosed hxy) hx hdiff
end
end PairingRockafellarSupportGradient
end Analysis
end TechnicalLemmas
end AutoSamplingTheory
AutoSamplingTheory/TechnicalLemmas/Analysis/PairingRockafellarSupportGradient.lean:55published source at 0e31a3cda412