AutoSamplingTheory.TechnicalLemmas.StochasticProcesses.OperatorGenerator
12 named declarations scanned from AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/OperatorGenerator.lean.
Declarations
structure AutoSamplingTheory.TechnicalLemmas.StochasticProcesses.OperatorGenerator.ContinuousLinearSemigroup Compiled Not mapped
- A nonnegative-time semigroup of continuous linear operators on a real normed space.
structure ContinuousLinearSemigroup (M : Type*) [NormedAddCommGroup M]
[NormedSpace ℝ M] where
op : ℝ≥0 → M →L[ℝ] M
op_zero : op 0 = ContinuousLinearMap.id ℝ M
op_add : ∀ s t, op (s + t) = (op s).comp (op t)
/-- Application form of the semigroup law. -/
AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/OperatorGenerator.lean:33published source at 77184245109a
theorem AutoSamplingTheory.TechnicalLemmas.StochasticProcesses.OperatorGenerator.ContinuousLinearSemigroup.op_add_apply Compiled Not mapped
- Application form of the semigroup law.
theorem ContinuousLinearSemigroup.op_add_apply
(S : ContinuousLinearSemigroup M) (s t : ℝ≥0) (f : M) :
S.op (s + t) f = S.op s (S.op t f) := by
rw [S.op_add]
rfl
/-- Operators in a one-parameter semigroup commute. -/
AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/OperatorGenerator.lean:40published source at 77184245109a
theorem AutoSamplingTheory.TechnicalLemmas.StochasticProcesses.OperatorGenerator.ContinuousLinearSemigroup.op_comm_apply Compiled Not mapped
- Operators in a one-parameter semigroup commute.
theorem ContinuousLinearSemigroup.op_comm_apply
(S : ContinuousLinearSemigroup M) (s t : ℝ≥0) (f : M) :
S.op s (S.op t f) = S.op t (S.op s f) := by
calc
S.op s (S.op t f) = S.op (s + t) f :=
(S.op_add_apply s t f).symm
_ = S.op (t + s) f := by rw [add_comm]
_ = S.op t (S.op s f) := S.op_add_apply t s f
/-- The right difference quotient used to define the infinitesimal generator
in the chosen norm topology. -/
AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/OperatorGenerator.lean:47published source at 77184245109a
def AutoSamplingTheory.TechnicalLemmas.StochasticProcesses.OperatorGenerator.rightDifferenceQuotient Compiled Not mapped
- The right difference quotient used to define the infinitesimal generator in the chosen norm topology.
def rightDifferenceQuotient (S : ContinuousLinearSemigroup M)
(h : ℝ≥0) (f : M) : M :=
((h : ℝ)⁻¹) • (S.op h f - f)
/-- `g` is the right-generator value of `f` when the semigroup difference
quotient converges to `g` through strictly positive times. -/
AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/OperatorGenerator.lean:58published source at 77184245109a
def AutoSamplingTheory.TechnicalLemmas.StochasticProcesses.OperatorGenerator.HasRightGeneratorAt Compiled Compiled
- `g` is the right-generator value of `f` when the semigroup difference quotient converges to `g` through strictly positive times.
def HasRightGeneratorAt (S : ContinuousLinearSemigroup M)
(f g : M) : Prop :=
Tendsto (fun h : ℝ≥0 => rightDifferenceQuotient S h f)
(nhdsWithin 0 (Ioi 0)) (𝓝 g)
/-- The domain of the right generator in the chosen norm topology. -/
AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/OperatorGenerator.lean:64published source at 77184245109aOpen detailed card
def AutoSamplingTheory.TechnicalLemmas.StochasticProcesses.OperatorGenerator.generatorDomain Compiled Not mapped
- The domain of the right generator in the chosen norm topology.
def generatorDomain (S : ContinuousLinearSemigroup M) : Set M :=
{f | ∃ g, HasRightGeneratorAt S f g}
/-- The right difference quotient commutes with every semigroup operator. -/
AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/OperatorGenerator.lean:70published source at 77184245109a
theorem AutoSamplingTheory.TechnicalLemmas.StochasticProcesses.OperatorGenerator.rightDifferenceQuotient_map Compiled Not mapped
- The right difference quotient commutes with every semigroup operator.
theorem rightDifferenceQuotient_map
(S : ContinuousLinearSemigroup M) (t h : ℝ≥0) (f : M) :
rightDifferenceQuotient S h (S.op t f) =
S.op t (rightDifferenceQuotient S h f) := by
unfold rightDifferenceQuotient
rw [S.op_comm_apply h t f]
rw [← (S.op t).map_sub]
rw [(S.op t).map_smul]
/-- The generator graph is invariant under the semigroup, and the generator
commutes with the semigroup on its domain. -/
AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/OperatorGenerator.lean:74published source at 77184245109a
theorem AutoSamplingTheory.TechnicalLemmas.StochasticProcesses.OperatorGenerator.HasRightGeneratorAt.map Compiled Not mapped
- The generator graph is invariant under the semigroup, and the generator commutes with the semigroup on its domain.
theorem HasRightGeneratorAt.map
{S : ContinuousLinearSemigroup M} {f g : M}
(hfg : HasRightGeneratorAt S f g) (t : ℝ≥0) :
HasRightGeneratorAt S (S.op t f) (S.op t g) := by
unfold HasRightGeneratorAt at hfg ⊢
have hop :
Tendsto (S.op t) (𝓝 g) (𝓝 (S.op t g)) :=
(S.op t).continuous.continuousAt
have hmapped :
Tendsto (fun h : ℝ≥0 => S.op t (rightDifferenceQuotient S h f))
(nhdsWithin 0 (Ioi 0)) (𝓝 (S.op t g)) :=
hop.comp hfg
simpa only [rightDifferenceQuotient_map] using hmapped
/-- In particular, the right-generator domain is preserved by the semigroup. -/
AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/OperatorGenerator.lean:85published source at 77184245109a
theorem AutoSamplingTheory.TechnicalLemmas.StochasticProcesses.OperatorGenerator.generatorDomain_map Compiled Partial
- In particular, the right-generator domain is preserved by the semigroup.
theorem generatorDomain_map
(S : ContinuousLinearSemigroup M) {f : M}
(hf : f ∈ generatorDomain S) (t : ℝ≥0) :
S.op t f ∈ generatorDomain S := by
rcases hf with ⟨g, hfg⟩
exact ⟨S.op t g, hfg.map t⟩
/-- The forward right difference quotient of the semigroup orbit at time `t`. -/
AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/OperatorGenerator.lean:100published source at 77184245109aOpen detailed card
def AutoSamplingTheory.TechnicalLemmas.StochasticProcesses.OperatorGenerator.rightOrbitDifferenceQuotient Compiled Not mapped
- The forward right difference quotient of the semigroup orbit at time `t`.
def rightOrbitDifferenceQuotient (S : ContinuousLinearSemigroup M)
(t h : ℝ≥0) (f : M) : M :=
((h : ℝ)⁻¹) • (S.op (t + h) f - S.op t f)
/-- Semigroup algebra rewrites the orbit quotient at time `t` as the generator
quotient applied to `S.op t f`. -/
AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/OperatorGenerator.lean:108published source at 77184245109a
theorem AutoSamplingTheory.TechnicalLemmas.StochasticProcesses.OperatorGenerator.rightOrbitDifferenceQuotient_eq Compiled Not mapped
- Semigroup algebra rewrites the orbit quotient at time `t` as the generator quotient applied to `S.op t f`.
theorem rightOrbitDifferenceQuotient_eq
(S : ContinuousLinearSemigroup M) (t h : ℝ≥0) (f : M) :
rightOrbitDifferenceQuotient S t h f =
rightDifferenceQuotient S h (S.op t f) := by
unfold rightOrbitDifferenceQuotient rightDifferenceQuotient
rw [add_comm t h]
rw [S.op_add_apply h t f]
/-- Chewi's backward-equation calculation, in a precise right-difference
quotient form: if `g` is the generator value of `f`, then the orbit derivative
at time `t` converges to `S.op t g`, and this is also the generator value of
`S.op t f`. -/
AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/OperatorGenerator.lean:114published source at 77184245109a
theorem AutoSamplingTheory.TechnicalLemmas.StochasticProcesses.OperatorGenerator.kolmogorov_backward_right Compiled Compiled
- Chewi's backward-equation calculation, in a precise right-difference quotient form: if `g` is the generator value of `f`, then the orbit derivative at time `t` converges to `S.op t g`, and this is also the generator value of `S.op t f`.
theorem kolmogorov_backward_right
(S : ContinuousLinearSemigroup M) {f g : M}
(hfg : HasRightGeneratorAt S f g) (t : ℝ≥0) :
HasRightGeneratorAt S (S.op t f) (S.op t g) ∧
Tendsto (fun h : ℝ≥0 => rightOrbitDifferenceQuotient S t h f)
(nhdsWithin 0 (Ioi 0)) (𝓝 (S.op t g)) := by
have hmap := hfg.map t
constructor
· exact hmap
· simpa only [HasRightGeneratorAt, rightOrbitDifferenceQuotient_eq] using hmap
end
end OperatorGenerator
end StochasticProcesses
end TechnicalLemmas
end AutoSamplingTheory
AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/OperatorGenerator.lean:126published source at 77184245109aOpen detailed card