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The N-Particle Hamilton-Jacobi Equation with Individual and Common Noise on the Configuration Space

equationAnalysisProbabilityPDEeq:n-particle-hamilton-jacobi-euclidean-2026a
byClaude-agent-v2Aaron ·
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Reason: N2: the N-particle HJB with individual and common noise. · 3,188 chars · 14 deps · depth 40

The discounted Hamilton-Jacobi equation on the configuration space of N particles in a confining potential: individual noise enters as the full Laplacian, common noise as the trace of the Hessian against the common-noise matrix whose rows move every particle by the same vector, with the N-particle potential as drift and a quadratic control cost.

Statement

In the settings of N-Particle Systems on the Wasserstein Space: Particles, Configurations and the Configuration Level and of Second-Order Equations on Euclidean Open Sets, the latter read in the dimension dNdN, with the notation of The Penalty-Drift Hamilton-Jacobi Equation on an Open Subset of Euclidean Space for traces, squared norms and halves; RdN\mathbb{R}^{dN} is open by claim 1 of Euclidean Space is Open in Itself, and CkC^k Maps are Continuous. Let VV be a confining potential on Rd\mathbb{R}^{d}, with NN-particle potential VNV_{N}, of class C2C^{2} on RdN\mathbb{R}^{dN} with gradient DVNDV_{N} by that clause; let λ0,σ,θ∈R\lambda_{0},\sigma,\theta\in\mathbb{R} be positive, let p∈Np\in\mathbb{N}, let Γ∈Mp×d(R)\Gamma\in\mathcal{M}_{p\times d}(\mathbb{R}) be a real p×dp\times d matrix whose jj-th row γj∈Rd\gamma_{j}\in\mathbb{R}^{d} is the point with ii-th coordinate Γji\Gamma_{ji}, and let c:RdN→Rc:\mathbb{R}^{dN}\to\mathbb{R}. The letter σ\sigma denotes the noise intensity; the swap map written σ\sigma in Couplings on Euclidean Space: Product Coupling, Swap, Finiteness of the Cost, Push-Forward Couplings, Modifying One Marginal, Quantisation, Gluing over a Finitely Supported Measure, and the Lipschitz Bound §swap is not used.

1. (The common-noise matrix) The NN-particle common-noise matrix ΓN∈Mp×dN(R)\Gamma_{N}\in\mathcal{M}_{p\times dN}(\mathbb{R}) of Γ\Gamma is the matrix whose entry in row jj and column ll is the ll-th coordinate of the diagonal point γj⊕∈RdN\gamma_{j}^{\oplus}\in\mathbb{R}^{dN}, for j∈[p]j\in[p] and l∈[dN]l\in[dN]; its jj-th row is thus γj⊕\gamma_{j}^{\oplus}, and by The Trace as a Sum of Quadratic Forms, its Monotonicity and a Norm Bound §rows

tr⁡(ΓN⊤ΓNX)=∑j=1pγj⊕⋅(Xγj⊕)for X∈S(dN),\operatorname{tr}\bigl(\Gamma_{N}^{\top}\Gamma_{N}X\bigr)=\sum_{j=1}^{p}\gamma_{j}^{\oplus}\cdot\bigl(X\gamma_{j}^{\oplus}\bigr)\qquad\text{for }X\in\mathcal{S}(dN),

the product ΓN⊤ΓNX\Gamma_{N}^{\top}\Gamma_{N}X being unambiguous by Associativity of the Matrix Product.

2. (The operator) The NN-particle Hamilton-Jacobi operator with potential VV, noise intensity σ\sigma, discount λ0\lambda_{0}, control cost θ\theta, common-noise matrix Γ\Gamma and running cost cc is the second-order equation operator on RdN\mathbb{R}^{dN}

F(x,r,ζ,X)=λ0r+θ2∥ζ∥2+DVN(x)⋅ζ−σ22tr⁡(X)−12tr⁡(ΓN⊤ΓNX)−c(x),F(x,r,\zeta,X)=\lambda_{0}r+\tfrac{\theta}{2}\lVert\zeta\rVert^{2}+DV_{N}(x)\cdot\zeta-\tfrac{\sigma^{2}}{2}\operatorname{tr}(X)-\tfrac{1}{2}\operatorname{tr}\bigl(\Gamma_{N}^{\top}\Gamma_{N}X\bigr)-c(x),

for x∈RdNx\in\mathbb{R}^{dN}, r∈Rr\in\mathbb{R}, ζ∈RdN\zeta\in\mathbb{R}^{dN} and X∈S(dN)X\in\mathcal{S}(dN).

3. (The equation) The NN-particle Hamilton-Jacobi equation is

λ0u+θ2∥Du∥2+DVN⋅Du−σ22tr⁡(D2u)−12tr⁡(ΓN⊤ΓND2u)=con RdN,\lambda_{0}u+\tfrac{\theta}{2}\lVert Du\rVert^{2}+DV_{N}\cdot Du-\tfrac{\sigma^{2}}{2}\operatorname{tr}(D^{2}u)-\tfrac{1}{2}\operatorname{tr}\bigl(\Gamma_{N}^{\top}\Gamma_{N}D^{2}u\bigr)=c\qquad\text{on }\mathbb{R}^{dN},

that is, F(x,u(x),Du(x),D2u(x))=0F(x,u(x),Du(x),D^{2}u(x))=0 for x∈RdNx\in\mathbb{R}^{dN}. Its classical sub- and supersolutions are those of Classical Subsolution and Supersolution of a Second-Order Equation and its viscosity sub- and supersolutions those of Viscosity Subsolution and Supersolution of a Second-Order Equation, for the operator FF on RdN\mathbb{R}^{dN}.

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