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Notation Table

This appendix collects the main notation used throughout the book. The last column points to the first section, equation, definition, proposition or theorem where the notation is defined or first used in a mathematically meaningful way.

Ambient spaces, measures and elementary objects

NotationMeaningFirst reference
Rd\RR^dEuclidean ambient space.Section sec-measures
X,Y\X,\YSource and target spaces.Eq. eq-monge-continuous
M(X)\Mm(\X)Finite signed Radon measures on X\X.Section sec-measures
M+(X),M+1(X)\Mm_+(\X),\Mm_+^1(\X)Positive finite measures and probability measures.Section sec-measures
P(X),Pp(X)\Pp(\X),\Pp_p(\X)Probability measures, with finite pp-moment for Pp\Pp_p.Section sec-kantorovich-continuous
Δn\simplex_nProbability simplex of histograms of length nn.Definition def-probability-simplex
δx\de_xDirac mass at xx.Definition def-discrete-measure
α,β,γ\al,\be,\gaSource, target and auxiliary probability measures.Eq. eq-monge-continuous
ρα\density{\al}Density of α\al with respect to a reference measure.Definition def-relative-density
dα,dx\d\al,\d xIntegration against α\al and against Lebesgue measure.Section sec-measures
E\EEExpectation of a random variable.Section sec-measures
supp(π)\supp(\pi)Topological support of a measure.Definition def:support
Supp(b)\Supp(\b)Index support of a histogram.Eq. eq-discr-diverg
C(X)\Cc(\X)Continuous real-valued functions on X\X.Section sec-measures
\norm{\cdot}Euclidean norm or the norm indicated by a subscript.Chapter sec-matching
,\dotp{\cdot}{\cdot}Euclidean/Frobenius pairing or measure-function pairing.Section sec-measures

Discrete matching and discrete Kantorovich OT

NotationMeaningFirst reference
(xi)i,(yj)j(x_i)_i,(y_j)_jSource and target point clouds.Eq. eq-optimal-assignment
C=(Ci,j)\C=(\C_{i,j})Cost matrix between source and target points.Eq. eq-optimal-assignment
σPerm(n)\sigma\in\Perm(n)Permutation encoding a one-to-one matching.Eq. eq-optimal-assignment
Pσ,PnpermP_\sigma,\mathcal P_n^{\mathrm{perm}}Permutation matrix and the set of all such matrices.Definition def-permutation-matrices
Bn\mathcal B_nBirkhoff polytope of bistochastic matrices.Definition def-birkhoff-polytope
a,b\a,\bDiscrete probability histograms.Eq. eq-discr-couplings
P\PDiscrete transport/coupling matrix.Eq. eq-discr-couplings
U(a,b)\CouplingsD(\a,\b)Polytope of discrete couplings with marginals a,b\a,\b.Eq. eq-discr-couplings
1n,P\ones_n,\transp{\P}All-ones vector and transpose of P\P.Eq. eq-discr-couplings
LC(a,b)\MKD_\C(\a,\b)Discrete Kantorovich optimal value with cost C\C.Eq. eq-kanto-discr
D\distDGround distance matrix for discrete Wasserstein distances.Definition def-discrete-wasserstein-distance
Wp(a,b)\WassD_p(\a,\b)Discrete pp-Wasserstein distance.Definition def-discrete-wasserstein-distance

Monge maps, one-dimensional OT and Gaussians

NotationMeaningFirst reference
T,TT,\TTransport map.Eq. eq-monge-continuous
TαT_\sharp\alPush-forward of α\al by TT.Definition defn-pushfwd
TgT^\sharp gPullback of a test function, Tg=gTT^\sharp g=g\circ T.Remark rem-pullback-pushforward
Id\IdIdentity map.Definition defn-pushfwd
W~p\tilde\Wass_pDirected Monge transport distance.Eq. eq-monge-distance
ϕ\nabla\phiBrenier map for quadratic cost.Theorem thm-brenier
Fα\cumul{\al}Cumulative distribution function of a 1-D measure.Eq. eq-cumul-defn
Fα1\cumul{\al}^{-1}Quantile function of a 1-D measure.Eq. eq-OT-map-1d
N(m,Σ)\Gaussian(\mean,\cov)Gaussian law with mean m\mean and covariance Σ\cov.Eq. eq-gauss-pf
mα,Σα\mean_\al,\cov_\alMean and covariance of a Gaussian measure α\al.Eq. eq-dist-gauss
B(Σα,Σβ)\Bb(\cov_\al,\cov_\be)Bures covariance distance.Definition def-bures-metric
tr(Σ)\tr(\cov)Trace of a matrix.Eq. eq-dist-gauss

Continuous Kantorovich OT and Wasserstein distances

NotationMeaningFirst reference
π\piCoupling or transport plan.Definition def-continuous-couplings
Π(α,β)\Couplings(\al,\be)Set of couplings between α\al and β\be.Eq. eq-coupling-generic
Lc(α,β)\MK_\c(\al,\be)Kantorovich optimal value with ground cost c\c.Eq. eq-mk-generic
d\distGround distance on the underlying metric space.Eq. eq-defn-wass-dist
Wp(α,β)\Wass_p(\al,\be)pp-Wasserstein distance.Definition def-wasserstein-distance
W(α,β)\Wass_\infty(\al,\be)Worst-displacement Wasserstein distance.Eq. eq-wass-infty
A,B\mathfrak A,\mathfrak BProbability laws over probability measures.Eq. eq-wow-parametric-law
αˉA\bar\alpha_{\mathfrak A}Collapsed mixture associated with a law over measures.Definition def-collapsed-barycentric-mixture
W2\mathbb W_2Wasserstein distance on the Wasserstein space.Eq. eq-wow-distance
Γ\Gammacc-cyclically monotone subset of X×Y\X\times\Y.Definition def:ccm
ρ\rhoGlued or composed coupling.Lemma lem-gluing-general
\rightharpoonupWeak^* convergence of measures.Definition dfn-weak-conv
TV,TV\TV,\norm{\cdot}_{\TV}Total variation divergence/norm.Section sec-measures

Duality, transforms and weak norms

NotationMeaningFirst reference
f,g\fD,\gDDiscrete dual potentials.Eq. eq-dual
f,g\f,\gContinuous dual potentials.Eq. eq-dual-generic
R(a,b)\PotentialsD(\a,\b)Feasible set of discrete dual potentials.Eq. eq-feasible-potential
R(c)\Potentials(\c)Feasible set of continuous dual potentials.Eq. eq-dfn-pot-dual
fc,gcf^c,g^ccc-transform of a potential.Definition def-c-transform
Lj(g)\Laguerre_j(\gD)Laguerre/power cell in semi-discrete OT.Eq. eq-laguerre-cells
Qm(α)\Qq_m(\al)Optimal mm-point quantization error.Eq. eq-optimal-quantization
Lip(f)\Lip(f)Lipschitz constant of ff.Eq. eq-lip-constant
W1\Wass_1Kantorovich--Rubinstein distance/norm.Eq. eq-w1-metric
W1,G\Wass_{1,G}Graph Wasserstein-1/transshipment distance.Proposition prop-graph-w1-beckmann
dG,G,divGd_G,\nabla_G,\operatorname{div}_GGraph geodesic distance, gradient and divergence.Proposition prop-graph-w1-beckmann
B\norm{\cdot}_BDual norm induced by a discriminator class BB.Eq. eq-dual-norm-cont
H,k\RKHS,\KrkhsReproducing kernel Hilbert space and its kernel.Definition def-kernel-mmd-norm
MMDk\MMD_kMaximum mean discrepancy/kernel norm for kk.Definition def-kernel-mmd-norm
Dϕ,Dϕ\Divergm_\phi,\DivergmD_\phiContinuous and discrete ϕ\phi-divergences.Eq. eq-phi-div
ϕ\phi'_\inftyRecession slope of an entropy function.Definition def_entropy
ϕ\phi^\starLegendre transform of ϕ\phi.Eq. eq-legendre
KL,KL\KL,\KLDContinuous and discrete Kullback--Leibler divergences.Definitions def-discrete-relative-entropy, def-measure-relative-entropy
h\HellingerHellinger divergence/distance.Section sec-phi-div
JS\JSJensen--Shannon divergence.Section sec-phi-div

Entropic regularization and Sinkhorn algorithms

NotationMeaningFirst reference
ϵ\epsilonEntropic regularization strength.Eq. eq-regularized-discr
H(P)\HD(\P)Shannon--Boltzmann entropy of a matrix.Definition def-discrete-shannon-boltzmann-entropy
LCϵ(a,b)\MKD_\C^\epsilon(\a,\b)Discrete entropic OT value.Eq. eq-regularized-discr
Lcϵ(α,β)\MK_\c^\epsilon(\al,\be)Continuous entropic OT value.Eq. eq-entropic-generic
K\KGibbs kernel eC/ϵe^{-\C/\epsilon}.Eq. eq-scaling-form
u,v\uD,\vDLeft and right Sinkhorn scalings.Eq. eq-scaling-form
diag(u)Kdiag(v)\diag(\uD)\K\diag(\vD)Scaling form of the entropic coupling.Eq. eq-sink-matrix
\odotEntrywise product of vectors.Eq. eq-dualsinkhorn-constraints2
u(),u(+1)\it{\uD},\itt{\uD}Current and next Sinkhorn iterates.Eq. eq-sinkhorn
dH\HilbertHilbert projective metric on positive vectors.Definition def-hilbert-metric
ProjKL\Proj^\KLDKL/Bregman projection.Eq. eq-kl-proj
Lˉcϵ(α,β)\bar\MK_\c^\epsilon(\al,\be)Debiased Sinkhorn divergence.Eq. eq-sinkhorn-divergence

Extensions of OT

NotationMeaningFirst reference
ψ1,ψ2\psi_1,\psi_2Entropy functions penalizing marginal mismatch.Eq. eq-unbalanced-primal
UWc,UWc,τ\UW_c,\UW_{c,\tau}Relaxed unbalanced OT value with marginal penalties.Eq. eq-unbalanced-primal
LcL_cReverse-formulation local unbalanced cost.Eq. eq-unbalanced-reverse-local-cost
HcH_cHomogeneous perspective of the local cost LcL_c.Eq. eq-unbalanced-homogeneous-local-cost
HW\HWHomogeneous unbalanced formulation.Eq. eq-homogeneous
C[X]\mathfrak{C}[\X]Cone over the metric space X\X.Section sec-unbalanced
CW,CWκ\CW,\CW_\kappaCone formulation of unbalanced OT, with CWκ\CW_\kappa using growth scale κ\kappa.Theorem thm-cone-unbalanced-ot, Eq. eq-dynamic-unbalanced-ot
Aκ\mathcal A_\kappaDynamic unbalanced perspective action for transport and growth.Eq. eq-dynamic-unbalanced-ot
WFRκ\WFR_\kappaWasserstein--Fisher--Rao dynamic distance with growth scale κ\kappa.Eq. eq-dynamic-unbalanced-ot
βs,λs\be_s,\la_sInput measures and weights in barycenter problems.Eq. eq-barycenter-generic
α\al^\starOptimal measure, often a barycenter.Section sec-barycenters
SWp\SW_pSliced Wasserstein distance.Definition def-sliced-wasserstein
Sd1\Sphere^{d-1}Unit sphere of projection directions.Definition def-sliced-wasserstein
PθP_\thetaProjection on direction θ\theta.Definition def-sliced-wasserstein
MaxSWp\MaxSW_pMax-sliced Wasserstein distance.Definition def-sliced-variants
MSWGG2\operatorname{MSWGG}_2Min-sliced lifted-plan upper bound on W2\Wass_2.Section sec-sliced-wasserstein
SWp,k,MaxSWp,k\SW_{p,k},\MaxSW_{p,k}Average and max Wasserstein distances over kk-dimensional projections.Definition def-subspace-sliced-wasserstein
Wγ\Wass_\gammaSpectral Wasserstein distance associated with a matrix gauge γ\gamma.Eq. eq-spectral-wasserstein
Bγ\mathcal B_\gammaPolar set defining the robust projected form of Wγ\Wass_\gamma.Eq. eq-spectral-polar-set
W2,A\Wass_{2,A}Quadratic Wasserstein pseudodistance after projection by A1/2A^{1/2}.Eq. eq-quadratic-projected-cost
SRW2,k\SRW_{2,k}Paty--Cuturi subspace robust Wasserstein distance.Section sec-spectral-subspace-wasserstein
LOTρ\LOT_\rhoLinear OT distance around reference ρ\rho.Eq. eq-lot-embedding
Tˉπ\bar T_\piBarycentric projection of a coupling π\pi.Eq. eq-barycentric-projection
βˉπ\bar\beta_\piPushforward of α\alpha by the barycentric projection.Eq. eq-barycentric-projection
WOTC\WOT_CWeak OT value with conditional-law cost CC.Eq. eq-weak-ot
gCg^CWeak CC-transform in weak OT duality.Proposition prop-weak-ot-duality
ut,Vtu_t,V_tPositive vector-valued density and spatial flux.Eqs. eq-vector-valued-bb, eq-vector-valued-continuity
WΦ\mathcal W_{\Phi}Dynamic vector-valued BB-type cost.Eq. eq-vector-valued-bb
D,D\distD,\distD'Intra-domain distance matrices in discrete GW.Eq. eq-gw-def
Δ\DeDiscrepancy between intra-domain distances.Eq. eq-gw-def
GW\GWDDiscrete Gromov--Wasserstein cost.Eq. eq-gw-def
X,Y\XX,\YYMetric-measure spaces.Definition def-metric-measure-space
GW\GWContinuous Gromov--Wasserstein distance.Eq. eq-gw-generic
dH,dGHd_{\mathrm H},d_{\mathrm{GH}}Hausdorff and Gromov--Hausdorff distances.Section sec-gromov-wasserstein
FGWλ,p\operatorname{FGW}_{\lambda,p}Fused Gromov--Wasserstein distance.Section sec-gromov-wasserstein
Sm,S+m\mathbb S^m,\mathbb S_+^mReal symmetric matrices and their positive semidefinite cone.Definition def-positive-matrix-valued-measure
At,PtA_t,P_tPositive matrix-valued density and spatial matrix flux.Eqs. eq-matrix-valued-bb, eq-matrix-valued-continuity
Wmat\mathcal W_{\mathrm{mat}}Conservative matrix-valued BB-type cost.Eq. eq-matrix-valued-bb
Hn,Hn+,Hn+,1\mathbb H_n,\mathbb H_n^+,\mathbb H_n^{+,1}Hermitian matrices, positive semidefinite Hermitian matrices and density matrices.Definition def-hermitian-density-matrices
TrA,TrB\operatorname{Tr}_A,\operatorname{Tr}_BPartial traces of a bipartite matrix.Eq. eq-qot-partial-traces
QOTC(A,B)\mathrm{QOT}_C(A,B)Finite-dimensional quantum OT value with cost observable CC.Eq. eq-qot-primal
QOTCϵ(A,B)\mathrm{QOT}_C^\epsilon(A,B)Entropically regularized quantum OT value.Eq. eq-qot-entropic-primal
Te(F,G),Ts(F,G)T_e(F,G),T_s(F,G)Exact Gibbs coupling and symmetric Gurvits-scaling surrogate.Eqs. eq-qot-gibbs-coupling, eq-qot-symmetric-scaling

Dynamic OT and Wasserstein gradient flows

NotationMeaningFirst reference
αt\alpha_tTime-dependent curve of probability measures.Eq. eq:eulerian-advection
vtv_tEulerian velocity field transporting αt\alpha_t.Eq. eq:eulerian-advection
TtT_tLagrangian particle flow map.Eq. eq:lagrangian-advection
PtP_tInterpolant map in flow matching; later also path evaluation.Eq. eq:interp-coupling
W22\Wass_2^2 via actionBenamou--Brenier dynamic formulation.Eq. eq:benamou-brenier
 ⁣Wf(α)\Wgrad f(\alpha)Wasserstein gradient of a functional.Proposition prop-formal-wass-gradient
δf(α)\delta f(\alpha)First variation of ff at α\alpha.Proposition prop-formal-wass-gradient
tα+div(αv)=0\partial_t\alpha+\diverg(\alpha v)=0Continuity equation.Eq. eq:eulerian-advection
αt+τ\alpha_{t+\tau}One JKO/minimizing-movement step.Eq. eq:jko-discr
S=C([0,1];Rd)\Ss=C([0,1];\RR^d)Path space in the superposition formulation.Chapter sec-wasserstein-flows