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. Author manuscript; available in PMC: 2023 Jul 20.
Published in final edited form as: Physica D. 2022 Jun 18;439:133406. doi: 10.1016/j.physd.2022.133406

Table 1.

Notations used throughout.

Variable Definition Domain
K Pairwise interaction potential Lloc1(Rd,R)
V Local potential C(Rd,R)
σ Diffusivity C(Rd,Rd×d)
N Number of particles per experiment {2, 3,…}
d Dimension of latent space N
T Final time (0, ∞)
(Ω,B, P, (F)t0, (Bt(i))i=1N) Filtered probability space
Rd Independent Ω,B Brownian motions on (P, (F)t0, (Bt(i))i=1N, Xt(i))
ith t particle in the particle system (1.1) at time Rd Xt
N t-particle system (1.1) at time RNd μtN
Empirical measure of Xt P(Rd)
FtN Distribution of Xt P(RNd)
Xt Mean-field process (3.2) at time t Rd
μt Distribution of Xt P(Rd)
t L discrete timepoints [0, [0,T]]
Xt Collection of M independent samples of Xt at t RMLNd
Yt Sample of Xt corrupted with i.i.d. additive noise RMLNd
Ut Approximate density from particle positions P(Rd)
G Density kernel mapping μtN to Ut L1(Rd×Rd,R)
D Spatial support of Ut, t[0,T] Compact subset of Rd
C Discretization of D
Ut Discrete approximate density Ut(C)
,h semi-discrete inner product, trapezoidal rule over C
,h,Δt Fully-discrete inner product, trapezoidal rule over C×t
LK Library of candidate interaction forces
LV Library of candidate local forces
Lσ Library of candidate diffusivities
L (LK, LV, Lσ)
Ψ Set of n test functions (ψk)k=1n C2(Rd×(0,T))
ϕm,p(v;Δ) Test functions used in this work (Eq. (4.4)
λ Set of sparsity thresholds
L Loss function for sparsity thresholds (Eq. (4.6)