Each result cited below is universally quantified over the data in its own statement.
Conventions. The conventions of Unitary Laws with Free Unitary Noise: Standing Data §spaces and Unitary Laws with Free Unitary Noise: Standing Data §test-functions are in force. Viscosity subsolutions are those of The Discounted Hamilton-Jacobi-Bellman Equation on Unitary Laws with Free Unitary Noise §equation with the admissible Hamiltonian H H H of the statement. By The Word Gauge Space Is a Real Hilbert Space, and the Unitary Laws Form a Compact Metric Space in It §inner-product and The Word Gauge Space Is a Real Hilbert Space, and the Unitary Laws Form a Compact Metric Space in It §hilbert , E d E_{d} E d is a real Hilbert space with inner product ⟨ ⋅ , ⋅ ⟩ d \langle\cdot,\cdot\rangle_{d} ⟨ ⋅ , ⋅ ⟩ d and norm ∥ ⋅ ∥ d \lVert\cdot\rVert_{d} ∥ ⋅ ∥ d , and its distance is ( y , y ′ ) ↦ ∥ y − y ′ ∥ d (y,y')\mapsto\lVert y-y'\rVert_{d} ( y , y ′ ) ↦ ∥ y − y ′ ∥ d (Real Hilbert Spaces: Standing Notation and Background §space ); The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity , Affine and Quadratic Functions on a Real Hilbert Space are of Class C 2 C^2 C 2 , Constants, Sums, Scalar Multiples and Differences of Differentiable Functions on an Open Subset of a Real Inner Product Space and Basic Properties of Differentiability on an Open Subset of a Real Inner Product Space are applied with E d E_{d} E d as the space and U = E d U=E_{d} U = E d , which is open in itself (Real Hilbert Spaces: Standing Notation and Background §topology ); every member of C 2 ( E d ) C^{2}(E_{d}) C 2 ( E d ) belongs to C 1 ( E d ) C^{1}(E_{d}) C 1 ( E d ) by The Classes C 1 C^1 C 1 and C 2 C^2 C 2 on an Open Subset of a Real Inner Product Space §c2 , and every member of C 1 ( E d ) C^{1}(E_{d}) C 1 ( E d ) is differentiable on E d E_{d} E d , that is, at every point of E d E_{d} E d , by The Classes C 1 C^1 C 1 and C 2 C^2 C 2 on an Open Subset of a Real Inner Product Space §c1 and Fréchet Differentiability and the Gradient on an Open Subset of a Real Inner Product Space §on-set . For μ , ν ∈ L d \mu,\nu\in\mathcal{L}_{d} μ , ν ∈ L d , d L ( μ , ν ) = ∥ ι d ( μ ) − ι d ( ν ) ∥ d d_{\mathcal{L}}(\mu,\nu)=\lVert\iota_{d}(\mu)-\iota_{d}(\nu)\rVert_{d} d L ( μ , ν ) = ∥ ι d ( μ ) − ι d ( ν ) ∥ d (The Embedding of Unitary Laws into the Word Gauge Space and the Gauge Distance §distance ); ( L d , d L ) (\mathcal{L}_{d},d_{\mathcal{L}}) ( L d , d L ) is a metric space (The Word Gauge Space Is a Real Hilbert Space, and the Unitary Laws Form a Compact Metric Space in It §metric ), nonempty (Unitary Laws: Adjoints, the Bound One, and Reduction to Cyclically Reduced Words §nonempty ) and compact (The Word Gauge Space Is a Real Hilbert Space, and the Unitary Laws Form a Compact Metric Space in It §compact ). Convergence of real sequences is convergence in ( R , d R ) (\mathbb{R},d_{\mathbb{R}}) ( R , d R ) (The Real Numbers: Standing Notation and Background §sequences ). For G ∈ C 1 ( E d ) G\in C^{1}(E_{d}) G ∈ C 1 ( E d ) and λ ∈ L d \lambda\in\mathcal{L}_{d} λ ∈ L d put
T G ( λ ) = H ( λ , D G ( ι d ( λ ) ) ) − β 2 2 ⟨ D G ( ι d ( λ ) ) , Θ ^ λ ⟩ d − f ( λ ) . T_{G}(\lambda)=H\bigl(\lambda,DG(\iota_{d}(\lambda))\bigr)-\frac{\beta^{2}}{2}\bigl\langle DG(\iota_{d}(\lambda)),\widehat{\Theta}\lambda\bigr\rangle_{d}-f(\lambda). T G ( λ ) = H ( λ , D G ( ι d ( λ )) ) − 2 β 2 ⟨ D G ( ι d ( λ )) , Θ λ ⟩ d − f ( λ ) .
Preliminary facts. Let G ∈ C 1 ( E d ) G\in C^{1}(E_{d}) G ∈ C 1 ( E d ) .
(C1) G ∘ ι d G\circ\iota_{d} G ∘ ι d is continuous and bounded on L d \mathcal{L}_{d} L d . G G G is continuous on E d E_{d} E d by Basic Properties of Differentiability on an Open Subset of a Real Inner Product Space §continuous . Let λ ∈ L d \lambda\in\mathcal{L}_{d} λ ∈ L d and ε > 0 \varepsilon>0 ε > 0 ; choose η > 0 \eta>0 η > 0 with ∣ G ( y ) − G ( ι d ( λ ) ) ∣ < ε |G(y)-G(\iota_{d}(\lambda))|<\varepsilon ∣ G ( y ) − G ( ι d ( λ )) ∣ < ε whenever ∥ y − ι d ( λ ) ∥ d < η \lVert y-\iota_{d}(\lambda)\rVert_{d}<\eta ∥ y − ι d ( λ ) ∥ d < η (Continuous Map Between Metric Spaces ). If d L ( λ , λ ′ ) < η d_{\mathcal{L}}(\lambda,\lambda')<\eta d L ( λ , λ ′ ) < η then ∥ ι d ( λ ′ ) − ι d ( λ ) ∥ d = d L ( λ ′ , λ ) < η \lVert\iota_{d}(\lambda')-\iota_{d}(\lambda)\rVert_{d}=d_{\mathcal{L}}(\lambda',\lambda)<\eta ∥ ι d ( λ ′ ) − ι d ( λ ) ∥ d = d L ( λ ′ , λ ) < η , so ∣ G ( ι d ( λ ′ ) ) − G ( ι d ( λ ) ) ∣ < ε |G(\iota_{d}(\lambda'))-G(\iota_{d}(\lambda))|<\varepsilon ∣ G ( ι d ( λ ′ )) − G ( ι d ( λ )) ∣ < ε . Thus G ∘ ι d G\circ\iota_{d} G ∘ ι d is continuous on ( L d , d L ) (\mathcal{L}_{d},d_{\mathcal{L}}) ( L d , d L ) , and Extreme Value Theorem on a Compact Subset of a Metric Space (with X = K = L d X=K=\mathcal{L}_{d} X = K = L d ) gives λ min , λ max ∈ L d \lambda_{\min},\lambda_{\max}\in\mathcal{L}_{d} λ m i n , λ m a x ∈ L d with G ( ι d ( λ min ) ) ≤ G ( ι d ( λ ) ) ≤ G ( ι d ( λ max ) ) G(\iota_{d}(\lambda_{\min}))\le G(\iota_{d}(\lambda))\le G(\iota_{d}(\lambda_{\max})) G ( ι d ( λ m i n )) ≤ G ( ι d ( λ )) ≤ G ( ι d ( λ m a x )) for all λ \lambda λ ; so C G = max { ∣ G ( ι d ( λ min ) ) ∣ , ∣ G ( ι d ( λ max ) ) ∣ } C_{G}=\max\{|G(\iota_{d}(\lambda_{\min}))|,|G(\iota_{d}(\lambda_{\max}))|\} C G = max { ∣ G ( ι d ( λ m i n )) ∣ , ∣ G ( ι d ( λ m a x )) ∣ } satisfies ∣ G ( ι d ( λ ) ) ∣ ≤ C G |G(\iota_{d}(\lambda))|\le C_{G} ∣ G ( ι d ( λ )) ∣ ≤ C G for every λ ∈ L d \lambda\in\mathcal{L}_{d} λ ∈ L d . Moreover G ∘ ι d G\circ\iota_{d} G ∘ ι d is lower semicontinuous on L d \mathcal{L}_{d} L d : ∣ G ( ι d ( λ ′ ) ) − G ( ι d ( λ ) ) ∣ < ε |G(\iota_{d}(\lambda'))-G(\iota_{d}(\lambda))|<\varepsilon ∣ G ( ι d ( λ ′ )) − G ( ι d ( λ )) ∣ < ε implies G ( ι d ( λ ) ) − ε < G ( ι d ( λ ′ ) ) G(\iota_{d}(\lambda))-\varepsilon<G(\iota_{d}(\lambda')) G ( ι d ( λ )) − ε < G ( ι d ( λ ′ )) (Lower Semicontinuous Function on a Subset of a Metric Space ).
(C2) Sequential continuity. Let ( λ n ) n ∈ N (\lambda_{n})_{n\in\mathbb{N}} ( λ n ) n ∈ N converge to λ \lambda λ in ( L d , d L ) (\mathcal{L}_{d},d_{\mathcal{L}}) ( L d , d L ) . Then ( G ( ι d ( λ n ) ) ) n (G(\iota_{d}(\lambda_{n})))_{n} ( G ( ι d ( λ n )) ) n converges to G ( ι d ( λ ) ) G(\iota_{d}(\lambda)) G ( ι d ( λ )) and ( T G ( λ n ) ) n (T_{G}(\lambda_{n}))_{n} ( T G ( λ n ) ) n converges to T G ( λ ) T_{G}(\lambda) T G ( λ ) . Indeed, ∥ ι d ( λ n ) − ι d ( λ ) ∥ d = d L ( λ n , λ ) \lVert\iota_{d}(\lambda_{n})-\iota_{d}(\lambda)\rVert_{d}=d_{\mathcal{L}}(\lambda_{n},\lambda) ∥ ι d ( λ n ) − ι d ( λ ) ∥ d = d L ( λ n , λ ) , so ( ι d ( λ n ) ) n (\iota_{d}(\lambda_{n}))_{n} ( ι d ( λ n ) ) n converges to ι d ( λ ) \iota_{d}(\lambda) ι d ( λ ) in E d E_{d} E d (Convergent Sequence in a Metric Space ). The first assertion follows from (C1) and Continuity Between Metric Spaces is Equivalent to Sequential Continuity §sequential . The gradient map D G DG D G is continuous on E d E_{d} E d (The Classes C 1 C^1 C 1 and C 2 C^2 C 2 on an Open Subset of a Real Inner Product Space §c1 ), so by the same lemma p n = D G ( ι d ( λ n ) ) p_{n}=DG(\iota_{d}(\lambda_{n})) p n = D G ( ι d ( λ n )) converges to p = D G ( ι d ( λ ) ) p=DG(\iota_{d}(\lambda)) p = D G ( ι d ( λ )) in E d E_{d} E d . By claim 1 of Coordinatewise Convergence, Sequential Compactness and Density in a Product Metric Space , ( ( λ n , p n ) ) n ((\lambda_{n},p_{n}))_{n} (( λ n , p n ) ) n converges to ( λ , p ) (\lambda,p) ( λ , p ) in L d × E d \mathcal{L}_{d}\times E_{d} L d × E d with the product metric of Admissible Hamiltonians on Unitary Laws §continuous , on which H H H is continuous by that property, H H H being admissible; so ( H ( λ n , p n ) ) n (H(\lambda_{n},p_{n}))_{n} ( H ( λ n , p n ) ) n converges to H ( λ , p ) H(\lambda,p) H ( λ , p ) by Continuity Between Metric Spaces is Equivalent to Sequential Continuity §sequential . By The Free Unitary Heat Generator: Bound, Continuity and Strict Dissipation in the Length-Weighted Gauge §continuity and the same lemma, ( Θ ^ λ n ) n (\widehat{\Theta}\lambda_{n})_{n} ( Θ λ n ) n converges to Θ ^ λ \widehat{\Theta}\lambda Θ λ in E d E_{d} E d , so ( ⟨ p n , Θ ^ λ n ⟩ d ) n (\langle p_{n},\widehat{\Theta}\lambda_{n}\rangle_{d})_{n} (⟨ p n , Θ λ n ⟩ d ) n converges to ⟨ p , Θ ^ λ ⟩ d \langle p,\widehat{\Theta}\lambda\rangle_{d} ⟨ p , Θ λ ⟩ d by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §continuity . As f f f is continuous (Unitary Laws with Free Unitary Noise: Standing Data §source ), ( f ( λ n ) ) n (f(\lambda_{n}))_{n} ( f ( λ n ) ) n converges to f ( λ ) f(\lambda) f ( λ ) by Continuity Between Metric Spaces is Equivalent to Sequential Continuity §sequential . Claims 1 and 3 of Arithmetic of Limits of Real Sequences give the second assertion.
Part 1 (Boundedness). Fix u 0 ∈ S u_{0}\in\mathcal{S} u 0 ∈ S ; it is bounded (Viscosity Sub- and Supersolutions of the Hamilton-Jacobi-Bellman Equation on Unitary Laws §subsolution ), with a bound M 0 ≥ 0 M_{0}\ge0 M 0 ≥ 0 (Bounded Real-Valued Function on a Set ). For λ ∈ L d \lambda\in\mathcal{L}_{d} λ ∈ L d , w ( λ ) w(\lambda) w ( λ ) is an upper bound of { u ( λ ) : u ∈ S } \{u(\lambda):u\in\mathcal{S}\} { u ( λ ) : u ∈ S } and the least one, and M M M is an upper bound, so − M 0 ≤ u 0 ( λ ) ≤ w ( λ ) ≤ M -M_{0}\le u_{0}(\lambda)\le w(\lambda)\le M − M 0 ≤ u 0 ( λ ) ≤ w ( λ ) ≤ M . Hence ∣ w ( λ ) ∣ ≤ C w |w(\lambda)|\le C_{w} ∣ w ( λ ) ∣ ≤ C w with C w = max { M 0 , ∣ M ∣ } ≥ 0 C_{w}=\max\{M_{0},|M|\}\ge0 C w = max { M 0 , ∣ M ∣ } ≥ 0 , and w w w is bounded.
Part 2 (Upper envelope). Semicontinuity and bound. For every λ ∈ L d \lambda\in\mathcal{L}_{d} λ ∈ L d we have w ( y ) ≤ C w w(y)\le C_{w} w ( y ) ≤ C w for all y ∈ L d y\in\mathcal{L}_{d} y ∈ L d , so C w ∈ A w ( λ ) C_{w}\in A_{w}(\lambda) C w ∈ A w ( λ ) and w w w is bounded above near each point of L d \mathcal{L}_{d} L d (Upper and Lower Semicontinuous Envelopes of a Real-Valued Function §near-bounds ); w ∗ w^{*} w ∗ is defined (Upper and Lower Semicontinuous Envelopes of a Real-Valued Function §upper ). We apply Properties of the Upper Semicontinuous Envelope with the metric space ( L d , d L ) (\mathcal{L}_{d},d_{\mathcal{L}}) ( L d , d L ) and S = L d S=\mathcal{L}_{d} S = L d . By Properties of the Upper Semicontinuous Envelope §bounds and Properties of the Upper Semicontinuous Envelope §usc , w ≤ w ∗ w\le w^{*} w ≤ w ∗ and w ∗ w^{*} w ∗ is upper semicontinuous on L d \mathcal{L}_{d} L d . The constant function C w C_{w} C w is upper semicontinuous (as C w < C w + ε C_{w}<C_{w}+\varepsilon C w < C w + ε for ε > 0 \varepsilon>0 ε > 0 ) and majorises w w w , so w ∗ ≤ C w w^{*}\le C_{w} w ∗ ≤ C w by Properties of the Upper Semicontinuous Envelope §least . Thus − C w ≤ w ≤ w ∗ ≤ C w -C_{w}\le w\le w^{*}\le C_{w} − C w ≤ w ≤ w ∗ ≤ C w , and w ∗ w^{*} w ∗ is bounded.
The data and the order of choices. Let F ∈ C 1 ( E d ) F\in C^{1}(E_{d}) F ∈ C 1 ( E d ) and λ 0 ∈ L d \lambda_{0}\in\mathcal{L}_{d} λ 0 ∈ L d be such that w ∗ − F ∘ ι d w^{*}-F\circ\iota_{d} w ∗ − F ∘ ι d has a local maximum at λ 0 \lambda_{0} λ 0 relative to L d \mathcal{L}_{d} L d : by Local Maximum of a Function Relative to a Subset of a Metric Space there is a real r > 0 r>0 r > 0 with
w ∗ ( λ ) − F ( ι d ( λ ) ) ≤ w ∗ ( λ 0 ) − F ( ι d ( λ 0 ) ) ( λ ∈ L d , d L ( λ , λ 0 ) < r ) . (LM) w^{*}(\lambda)-F(\iota_{d}(\lambda))\le w^{*}(\lambda_{0})-F(\iota_{d}(\lambda_{0}))\qquad(\lambda\in\mathcal{L}_{d},\ d_{\mathcal{L}}(\lambda,\lambda_{0})<r).\tag{LM} w ∗ ( λ ) − F ( ι d ( λ )) ≤ w ∗ ( λ 0 ) − F ( ι d ( λ 0 )) ( λ ∈ L d , d L ( λ , λ 0 ) < r ) . ( LM )
By Viscosity Sub- and Supersolutions of the Hamilton-Jacobi-Bellman Equation on Unitary Laws §subsolution we must show ρ w ∗ ( λ 0 ) + T F ( λ 0 ) ≤ 0 \rho\,w^{*}(\lambda_{0})+T_{F}(\lambda_{0})\le0 ρ w ∗ ( λ 0 ) + T F ( λ 0 ) ≤ 0 . The objects below are chosen in this order: C F C_{F} C F , A A A and F 1 F_{1} F 1 (Step 1); the sequence ( λ n ) (\lambda_{n}) ( λ n ) , then for each n n n the subsolution u n u_{n} u n , then the point μ n \mu_{n} μ n (Step 2).
Step 1 (A strict global maximum). Let C F C_{F} C F be as in (C1) for G = F G=F G = F , and put
A = 1 + 2 C w + 2 C F + 1 r 2 , so that A ≥ 1 and A r 2 ≥ 2 C w + 2 C F + 1. A=1+\frac{2C_{w}+2C_{F}+1}{r^{2}},\qquad\text{so that }A\ge1\text{ and }A\,r^{2}\ge2C_{w}+2C_{F}+1 . A = 1 + r 2 2 C w + 2 C F + 1 , so that A ≥ 1 and A r 2 ≥ 2 C w + 2 C F + 1.
Let q : E d → R q:E_{d}\to\mathbb{R} q : E d → R , q ( y ) = A ∥ y − ι d ( λ 0 ) ∥ d 2 = 2 A 2 ∥ y − ι d ( λ 0 ) ∥ d 2 q(y)=A\lVert y-\iota_{d}(\lambda_{0})\rVert_{d}^{2}=\tfrac{2A}{2}\lVert y-\iota_{d}(\lambda_{0})\rVert_{d}^{2} q ( y ) = A ∥ y − ι d ( λ 0 ) ∥ d 2 = 2 2 A ∥ y − ι d ( λ 0 ) ∥ d 2 . By Affine and Quadratic Functions on a Real Hilbert Space are of Class C 2 C^2 C 2 §quadratic (with 2 A 2A 2 A and ι d ( λ 0 ) \iota_{d}(\lambda_{0}) ι d ( λ 0 ) in the roles of α \alpha α and y 0 y_{0} y 0 ), q ∈ C 1 ( E d ) q\in C^{1}(E_{d}) q ∈ C 1 ( E d ) and D q ( y ) = 2 A ( y − ι d ( λ 0 ) ) Dq(y)=2A(y-\iota_{d}(\lambda_{0})) D q ( y ) = 2 A ( y − ι d ( λ 0 )) . Put F 1 = F + q F_{1}=F+q F 1 = F + q . By Constants, Sums, Scalar Multiples and Differences of Differentiable Functions on an Open Subset of a Real Inner Product Space §sum , F 1 ∈ C 1 ( E d ) F_{1}\in C^{1}(E_{d}) F 1 ∈ C 1 ( E d ) and D F 1 ( y ) = D F ( y ) + 2 A ( y − ι d ( λ 0 ) ) DF_{1}(y)=DF(y)+2A(y-\iota_{d}(\lambda_{0})) D F 1 ( y ) = D F ( y ) + 2 A ( y − ι d ( λ 0 )) ; in particular D F 1 ( ι d ( λ 0 ) ) = D F ( ι d ( λ 0 ) ) DF_{1}(\iota_{d}(\lambda_{0}))=DF(\iota_{d}(\lambda_{0})) D F 1 ( ι d ( λ 0 )) = D F ( ι d ( λ 0 )) , since ι d ( λ 0 ) − ι d ( λ 0 ) \iota_{d}(\lambda_{0})-\iota_{d}(\lambda_{0}) ι d ( λ 0 ) − ι d ( λ 0 ) is the zero vector and so is its multiple by 2 A 2A 2 A . Hence
T F 1 ( λ 0 ) = T F ( λ 0 ) . (G0) T_{F_{1}}(\lambda_{0})=T_{F}(\lambda_{0}).\tag{G0} T F 1 ( λ 0 ) = T F ( λ 0 ) . ( G0 )
For λ ∈ L d \lambda\in\mathcal{L}_{d} λ ∈ L d , F 1 ( ι d ( λ ) ) = F ( ι d ( λ ) ) + A d L ( λ , λ 0 ) 2 F_{1}(\iota_{d}(\lambda))=F(\iota_{d}(\lambda))+A\,d_{\mathcal{L}}(\lambda,\lambda_{0})^{2} F 1 ( ι d ( λ )) = F ( ι d ( λ )) + A d L ( λ , λ 0 ) 2 . Put Γ ( λ ) = w ∗ ( λ ) − F 1 ( ι d ( λ ) ) \Gamma(\lambda)=w^{*}(\lambda)-F_{1}(\iota_{d}(\lambda)) Γ ( λ ) = w ∗ ( λ ) − F 1 ( ι d ( λ )) and Γ 0 = Γ ( λ 0 ) = w ∗ ( λ 0 ) − F ( ι d ( λ 0 ) ) ≥ − C w − C F \Gamma_{0}=\Gamma(\lambda_{0})=w^{*}(\lambda_{0})-F(\iota_{d}(\lambda_{0}))\ge-C_{w}-C_{F} Γ 0 = Γ ( λ 0 ) = w ∗ ( λ 0 ) − F ( ι d ( λ 0 )) ≥ − C w − C F . We claim
Γ ( λ ) ≤ Γ 0 ( λ ∈ L d ) , Γ ( λ ) ≤ Γ 0 − s 2 ( 0 < s ≤ 1 , λ ∈ L d , d L ( λ , λ 0 ) ≥ s ) . (ST) \Gamma(\lambda)\le\Gamma_{0}\quad(\lambda\in\mathcal{L}_{d}),\qquad\Gamma(\lambda)\le\Gamma_{0}-s^{2}\quad(0<s\le1,\ \lambda\in\mathcal{L}_{d},\ d_{\mathcal{L}}(\lambda,\lambda_{0})\ge s).\tag{ST} Γ ( λ ) ≤ Γ 0 ( λ ∈ L d ) , Γ ( λ ) ≤ Γ 0 − s 2 ( 0 < s ≤ 1 , λ ∈ L d , d L ( λ , λ 0 ) ≥ s ) . ( ST )
Let λ ∈ L d \lambda\in\mathcal{L}_{d} λ ∈ L d and D = d L ( λ , λ 0 ) D=d_{\mathcal{L}}(\lambda,\lambda_{0}) D = d L ( λ , λ 0 ) . If D < r D<r D < r , then by (LM) and A ≥ 1 A\ge1 A ≥ 1 , Γ ( λ ) = w ∗ ( λ ) − F ( ι d ( λ ) ) − A D 2 ≤ Γ 0 − A D 2 ≤ Γ 0 − D 2 \Gamma(\lambda)=w^{*}(\lambda)-F(\iota_{d}(\lambda))-AD^{2}\le\Gamma_{0}-AD^{2}\le\Gamma_{0}-D^{2} Γ ( λ ) = w ∗ ( λ ) − F ( ι d ( λ )) − A D 2 ≤ Γ 0 − A D 2 ≤ Γ 0 − D 2 , which is at most Γ 0 \Gamma_{0} Γ 0 , and at most Γ 0 − s 2 \Gamma_{0}-s^{2} Γ 0 − s 2 when D ≥ s > 0 D\ge s>0 D ≥ s > 0 (Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field ). If D ≥ r D\ge r D ≥ r , then A D 2 ≥ A r 2 AD^{2}\ge Ar^{2} A D 2 ≥ A r 2 and, by the bounds w ∗ ≤ C w w^{*}\le C_{w} w ∗ ≤ C w and ∣ F ∘ ι d ∣ ≤ C F |F\circ\iota_{d}|\le C_{F} ∣ F ∘ ι d ∣ ≤ C F ,
Γ ( λ ) ≤ C w + C F − A r 2 ≤ − C w − C F − 1 ≤ Γ 0 − 1 , \Gamma(\lambda)\le C_{w}+C_{F}-Ar^{2}\le-C_{w}-C_{F}-1\le\Gamma_{0}-1, Γ ( λ ) ≤ C w + C F − A r 2 ≤ − C w − C F − 1 ≤ Γ 0 − 1 ,
which is at most Γ 0 \Gamma_{0} Γ 0 , and at most Γ 0 − s 2 \Gamma_{0}-s^{2} Γ 0 − s 2 for 0 < s ≤ 1 0<s\le1 0 < s ≤ 1 since then s 2 ≤ 1 s^{2}\le1 s 2 ≤ 1 .
Step 2 (Approximate maximisers). By Properties of the Upper Semicontinuous Envelope §approximation , choose a sequence ( λ n ) n ∈ N (\lambda_{n})_{n\in\mathbb{N}} ( λ n ) n ∈ N in L d \mathcal{L}_{d} L d converging to λ 0 \lambda_{0} λ 0 with ( w ( λ n ) ) n (w(\lambda_{n}))_{n} ( w ( λ n ) ) n converging to w ∗ ( λ 0 ) w^{*}(\lambda_{0}) w ∗ ( λ 0 ) . For each n ∈ N n\in\mathbb{N} n ∈ N , the set { u ( λ n ) : u ∈ S } \{u(\lambda_{n}):u\in\mathcal{S}\} { u ( λ n ) : u ∈ S } is nonempty, bounded above by M M M , with least upper bound w ( λ n ) w(\lambda_{n}) w ( λ n ) ; by claim 3 of Approximation Property of the Supremum and the Infimum in R \mathbb{R} R with ε = 1 / n \varepsilon=1/n ε = 1/ n choose u n ∈ S u_{n}\in\mathcal{S} u n ∈ S with
u n ( λ n ) > w ( λ n ) − 1 n . u_{n}(\lambda_{n})>w(\lambda_{n})-\tfrac1n . u n ( λ n ) > w ( λ n ) − n 1 .
The function u n u_{n} u n is upper semicontinuous (Viscosity Sub- and Supersolutions of the Hamilton-Jacobi-Bellman Equation on Unitary Laws §subsolution ) and F 1 ∘ ι d F_{1}\circ\iota_{d} F 1 ∘ ι d is lower semicontinuous by (C1), so u n − F 1 ∘ ι d u_{n}-F_{1}\circ\iota_{d} u n − F 1 ∘ ι d is upper semicontinuous on L d \mathcal{L}_{d} L d by claim 3 of Negation, Restriction, and Separated Differences of Semicontinuous Functions . By claim 1 of Semicontinuous Functions Attain Their Extrema on a Compact Set (with X = K = L d X=K=\mathcal{L}_{d} X = K = L d ) choose μ n ∈ L d \mu_{n}\in\mathcal{L}_{d} μ n ∈ L d with
u n ( μ ) − F 1 ( ι d ( μ ) ) ≤ u n ( μ n ) − F 1 ( ι d ( μ n ) ) ( μ ∈ L d ) . u_{n}(\mu)-F_{1}(\iota_{d}(\mu))\le u_{n}(\mu_{n})-F_{1}(\iota_{d}(\mu_{n}))\qquad(\mu\in\mathcal{L}_{d}). u n ( μ ) − F 1 ( ι d ( μ )) ≤ u n ( μ n ) − F 1 ( ι d ( μ n )) ( μ ∈ L d ) .
In particular u n − F 1 ∘ ι d u_{n}-F_{1}\circ\iota_{d} u n − F 1 ∘ ι d has a local maximum at μ n \mu_{n} μ n relative to L d \mathcal{L}_{d} L d (with radius 1 1 1 ), and since u n u_{n} u n is a viscosity subsolution and F 1 ∈ C 1 ( E d ) F_{1}\in C^{1}(E_{d}) F 1 ∈ C 1 ( E d ) , Viscosity Sub- and Supersolutions of the Hamilton-Jacobi-Bellman Equation on Unitary Laws §subsolution gives
ρ u n ( μ n ) + T F 1 ( μ n ) ≤ 0 ( n ∈ N ) . (Sn) \rho\,u_{n}(\mu_{n})+T_{F_{1}}(\mu_{n})\le0\qquad(n\in\mathbb{N}).\tag{Sn} ρ u n ( μ n ) + T F 1 ( μ n ) ≤ 0 ( n ∈ N ) . ( Sn )
Step 3 (Localisation). Put a n = u n ( μ n ) − F 1 ( ι d ( μ n ) ) a_{n}=u_{n}(\mu_{n})-F_{1}(\iota_{d}(\mu_{n})) a n = u n ( μ n ) − F 1 ( ι d ( μ n )) and e n = w ( λ n ) − 1 n − F 1 ( ι d ( λ n ) ) e_{n}=w(\lambda_{n})-\tfrac1n-F_{1}(\iota_{d}(\lambda_{n})) e n = w ( λ n ) − n 1 − F 1 ( ι d ( λ n )) . By the choice of μ n \mu_{n} μ n and of u n u_{n} u n , a n ≥ u n ( λ n ) − F 1 ( ι d ( λ n ) ) > e n a_{n}\ge u_{n}(\lambda_{n})-F_{1}(\iota_{d}(\lambda_{n}))>e_{n} a n ≥ u n ( λ n ) − F 1 ( ι d ( λ n )) > e n . Since u n ( μ n ) ≤ w ( μ n ) ≤ w ∗ ( μ n ) u_{n}(\mu_{n})\le w(\mu_{n})\le w^{*}(\mu_{n}) u n ( μ n ) ≤ w ( μ n ) ≤ w ∗ ( μ n ) , (ST) gives a n ≤ Γ ( μ n ) ≤ Γ 0 a_{n}\le\Gamma(\mu_{n})\le\Gamma_{0} a n ≤ Γ ( μ n ) ≤ Γ 0 . The sequence ( 1 / n ) n (1/n)_{n} ( 1/ n ) n converges to 0 0 0 by The Archimedean Property of the Real Numbers , and ( F 1 ( ι d ( λ n ) ) ) n (F_{1}(\iota_{d}(\lambda_{n})))_{n} ( F 1 ( ι d ( λ n )) ) n converges to F 1 ( ι d ( λ 0 ) ) F_{1}(\iota_{d}(\lambda_{0})) F 1 ( ι d ( λ 0 )) by (C2); by claims 1 and 3 of Arithmetic of Limits of Real Sequences , ( e n ) n (e_{n})_{n} ( e n ) n converges to w ∗ ( λ 0 ) − F 1 ( ι d ( λ 0 ) ) = Γ 0 w^{*}(\lambda_{0})-F_{1}(\iota_{d}(\lambda_{0}))=\Gamma_{0} w ∗ ( λ 0 ) − F 1 ( ι d ( λ 0 )) = Γ 0 . By claim 2 of Order Properties of Limits of Real Sequences (with the constant sequence Γ 0 \Gamma_{0} Γ 0 as upper sequence), ( a n ) n (a_{n})_{n} ( a n ) n converges to Γ 0 \Gamma_{0} Γ 0 .
( μ n ) n (\mu_{n})_{n} ( μ n ) n converges to λ 0 \lambda_{0} λ 0 : let ε > 0 \varepsilon>0 ε > 0 and s = min { ε , 1 } s=\min\{\varepsilon,1\} s = min { ε , 1 } . Choose N ∈ N N\in\mathbb{N} N ∈ N with a n > Γ 0 − s 2 a_{n}>\Gamma_{0}-s^{2} a n > Γ 0 − s 2 for n ≥ N n\ge N n ≥ N . For such n n n , d L ( μ n , λ 0 ) ≥ s d_{\mathcal{L}}(\mu_{n},\lambda_{0})\ge s d L ( μ n , λ 0 ) ≥ s would give a n ≤ Γ ( μ n ) ≤ Γ 0 − s 2 a_{n}\le\Gamma(\mu_{n})\le\Gamma_{0}-s^{2} a n ≤ Γ ( μ n ) ≤ Γ 0 − s 2 by (ST), which is impossible; so d L ( μ n , λ 0 ) < s ≤ ε d_{\mathcal{L}}(\mu_{n},\lambda_{0})<s\le\varepsilon d L ( μ n , λ 0 ) < s ≤ ε (Convergent Sequence in a Metric Space ).
Consequently ( F 1 ( ι d ( μ n ) ) ) n (F_{1}(\iota_{d}(\mu_{n})))_{n} ( F 1 ( ι d ( μ n )) ) n converges to F 1 ( ι d ( λ 0 ) ) F_{1}(\iota_{d}(\lambda_{0})) F 1 ( ι d ( λ 0 )) by (C2), and u n ( μ n ) = a n + F 1 ( ι d ( μ n ) ) u_{n}(\mu_{n})=a_{n}+F_{1}(\iota_{d}(\mu_{n})) u n ( μ n ) = a n + F 1 ( ι d ( μ n )) converges to Γ 0 + F 1 ( ι d ( λ 0 ) ) = w ∗ ( λ 0 ) \Gamma_{0}+F_{1}(\iota_{d}(\lambda_{0}))=w^{*}(\lambda_{0}) Γ 0 + F 1 ( ι d ( λ 0 )) = w ∗ ( λ 0 ) by claim 1 of Arithmetic of Limits of Real Sequences .
Step 4 (Passage to the limit). By (C2) with G = F 1 G=F_{1} G = F 1 , ( T F 1 ( μ n ) ) n (T_{F_{1}}(\mu_{n}))_{n} ( T F 1 ( μ n ) ) n converges to T F 1 ( λ 0 ) T_{F_{1}}(\lambda_{0}) T F 1 ( λ 0 ) ; with Step 3 and claims 1 and 3 of Arithmetic of Limits of Real Sequences , ( ρ u n ( μ n ) + T F 1 ( μ n ) ) n (\rho\,u_{n}(\mu_{n})+T_{F_{1}}(\mu_{n}))_{n} ( ρ u n ( μ n ) + T F 1 ( μ n ) ) n converges to ρ w ∗ ( λ 0 ) + T F 1 ( λ 0 ) \rho\,w^{*}(\lambda_{0})+T_{F_{1}}(\lambda_{0}) ρ w ∗ ( λ 0 ) + T F 1 ( λ 0 ) . By (Sn) and claim 1 of Order Properties of Limits of Real Sequences (compared with the constant sequence 0 0 0 ), ρ w ∗ ( λ 0 ) + T F 1 ( λ 0 ) ≤ 0 \rho\,w^{*}(\lambda_{0})+T_{F_{1}}(\lambda_{0})\le0 ρ w ∗ ( λ 0 ) + T F 1 ( λ 0 ) ≤ 0 , and by (G0) this is
ρ w ∗ ( λ 0 ) + H ( λ 0 , D F ( ι d ( λ 0 ) ) ) − β 2 2 ⟨ D F ( ι d ( λ 0 ) ) , Θ ^ λ 0 ⟩ d ≤ f ( λ 0 ) . \rho\,w^{*}(\lambda_{0})+H\bigl(\lambda_{0},DF(\iota_{d}(\lambda_{0}))\bigr)-\frac{\beta^{2}}{2}\bigl\langle DF(\iota_{d}(\lambda_{0})),\widehat{\Theta}\lambda_{0}\bigr\rangle_{d}\le f(\lambda_{0}). ρ w ∗ ( λ 0 ) + H ( λ 0 , D F ( ι d ( λ 0 )) ) − 2 β 2 ⟨ D F ( ι d ( λ 0 )) , Θ λ 0 ⟩ d ≤ f ( λ 0 ) .
Together with the boundedness and upper semicontinuity of w ∗ w^{*} w ∗ shown above, Viscosity Sub- and Supersolutions of the Hamilton-Jacobi-Bellman Equation on Unitary Laws §subsolution shows that w ∗ w^{*} w ∗ is a viscosity subsolution of The Discounted Hamilton-Jacobi-Bellman Equation on Unitary Laws with Free Unitary Noise §equation with Hamiltonian H H H .