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The N-Particle Dyson Hamilton-Jacobi Equation with a Mean-Field Running Cost

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Reason: New equation item: the N-particle Dyson Hamilton-Jacobi equation with mean-field running cost. · 2,616 chars · 8 deps · depth 41

The Hamilton-Jacobi equation of N controlled particles on the Weyl chamber with logarithmic repulsion of strength beta/(2(N-1)), confinement V, idiosyncratic noise of intensity sigma2/(N−1)sigma^2/(N-1), quadratic control cost and running cost N times a function of the empirical measure.

Statement

In the setting of N-Particle Systems on the Wasserstein Space: Particles, Configurations and the Configuration Level with particle dimension d=1d=1, and in the setting of Second-Order Equations on Euclidean Open Sets. Let N≥2N\ge2 be a natural number, regarded as a real number through the canonical map, so that N−1N-1 is positive. Let β,λ∈R\beta,\lambda\in\mathbb{R} be positive, let σ∈R\sigma\in\mathbb{R}, let V:R→RV:\mathbb{R}\to\mathbb{R} be of class C2C^{2} on R=R1\mathbb{R}=\mathbb{R}^{1} with derivative V′=∂1VV'=\partial_{1}V, and let g:P2(R)→Rg:\mathcal{P}_{2}(\mathbb{R})\to\mathbb{R}. For x∈RNx\in\mathbb{R}^{N}, μxN∈P2(R)\mu^{N}_{x}\in\mathcal{P}_{2}(\mathbb{R}) is the empirical measure of xx. The Weyl chamber WN={x∈RN:x1>x2>⋯>xN}W_{N}=\{x\in\mathbb{R}^{N}:x_{1}>x_{2}>\dots>x_{N}\} and the numbers akj(x)a_{kj}(x), equal to (xk−xj)−1(x_{k}-x_{j})^{-1} for k≠jk\ne j and to 00 for k=jk=j, are those of The Logarithmic Energy on the Weyl Chamber: Derivatives, Monotone Gradient, the Calogero Identity and the Euler Identity; WNW_{N} is open by The Logarithmic Energy on the Weyl Chamber: Derivatives, Monotone Gradient, the Calogero Identity and the Euler Identity §open. Put

bN=β2(N−1),κN=σ2N−1.b_{N}=\frac{\beta}{2(N-1)},\qquad\kappa_{N}=\frac{\sigma^{2}}{N-1}.

1. (The operator) The NN-particle Dyson Hamilton-Jacobi operator with interaction β\beta, confinement VV, discount λ\lambda, noise σ\sigma and mean-field cost gg is the Dyson Hamilton-Jacobi operator on WNW_{N} with strength bNb_{N}, confinement VV, discount λ\lambda, control cost 11, noise intensity κN\kappa_{N} and running cost x↦N g(μxN)x\mapsto N\,g(\mu^{N}_{x}); by the formula of that clause, for x∈WNx\in W_{N}, r∈Rr\in\mathbb{R}, p∈RNp\in\mathbb{R}^{N} and X∈S(N)X\in\mathcal{S}(N),

FN(x,r,p,X)=λr+12∥p∥2+∑k=1N(V′(xk)−β2(N−1)∑j≠k1xk−xj)pk−σ22(N−1)tr⁡(X)−N g(μxN).F_{N}(x,r,p,X)=\lambda r+\frac{1}{2}\lVert p\rVert^{2}+\sum_{k=1}^{N}\Bigl(V'(x_{k})-\frac{\beta}{2(N-1)}\sum_{j\ne k}\frac{1}{x_{k}-x_{j}}\Bigr)p_{k}-\frac{\sigma^{2}}{2(N-1)}\operatorname{tr}(X)-N\,g(\mu^{N}_{x}).

2. (The equation) The NN-particle Dyson Hamilton-Jacobi equation is

λv+12∥Dv∥2+∑k=1N(V′(xk)−β2(N−1)∑j≠k1xk−xj)∂kv−σ22(N−1)Δv=N g(μxN)on WN,\lambda v+\frac{1}{2}\lVert Dv\rVert^{2}+\sum_{k=1}^{N}\Bigl(V'(x_{k})-\frac{\beta}{2(N-1)}\sum_{j\ne k}\frac{1}{x_{k}-x_{j}}\Bigr)\partial_{k}v-\frac{\sigma^{2}}{2(N-1)}\Delta v=N\,g(\mu^{N}_{x})\qquad\text{on }W_{N},

with Δv=tr⁡(D2v)\Delta v=\operatorname{tr}(D^{2}v), that is, the Dyson Hamilton-Jacobi equation for the data of clause 1; its viscosity subsolutions and supersolutions are those of Viscosity Subsolution and Supersolution of a Second-Order Equation for the operator FNF_{N} on WNW_{N}.

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