Does the Wasserstein space $(P_p(\mathbb{R}^d),W_p(\cdot,\cdot))$ posesses the property that any bounded set is precompact? Or at least, if $\mu_0\in P_p(\mathbb{R}^d)$ and given $r>0$ a real number, is the Wasserstein ball $B(\mu_0,r):=\{\mu\in P(\mathbb{R}^d) : W_p(\mu_0,\mu)<r\}$ a tight set?
2026-02-24 10:14:29.1771928069
Bounded set in $(P_p(\mathbb{R}^d),W_p(\cdot,\cdot))$ is precompact?
277 Views Asked by Bumbble Comm https://math.techqa.club/user/bumbble-comm/detail At
1
There are 1 best solutions below
Related Questions in PROBABILITY-THEORY
- Is this a commonly known paradox?
- What's $P(A_1\cap A_2\cap A_3\cap A_4) $?
- Another application of the Central Limit Theorem
- proving Kochen-Stone lemma...
- Is there a contradiction in coin toss of expected / actual results?
- Sample each point with flipping coin, what is the average?
- Random variables coincide
- Reference request for a lemma on the expected value of Hermitian polynomials of Gaussian random variables.
- Determine the marginal distributions of $(T_1, T_2)$
- Convergence in distribution of a discretized random variable and generated sigma-algebras
Related Questions in MEASURE-THEORY
- On sufficient condition for pre-compactness "in measure"(i.e. in Young measure space)
- Absolutely continuous functions are dense in $L^1$
- I can't undestand why $ \{x \in X : f(x) > g(x) \} = \bigcup_{r \in \mathbb{Q}}{\{x\in X : f(x) > r\}\cap\{x\in X:g(x) < r\}} $
- Trace $\sigma$-algebra of a product $\sigma$-algebra is product $\sigma$-algebra of the trace $\sigma$-algebras
- Meaning of a double integral
- Random variables coincide
- Convergence in measure preserves measurability
- Convergence in distribution of a discretized random variable and generated sigma-algebras
- A sequence of absolutely continuous functions whose derivatives converge to $0$ a.e
- $f\in L_{p_1}\cap L_{p_2}$ implies $f\in L_{p}$ for all $p\in (p_1,p_2)$
Related Questions in OPTIMAL-TRANSPORT
- Lipschitz extension of affine function to whole space
- Closed-form analytical solutions to Optimal Transport/Wasserstein distance
- Monge and Kantorovich problem in optimal transport
- The Lebesgue measure as energy minimizer?
- Measurable selection of geodesics
- Choquet's and Birkhoff's theorem for min-max discrete optimization problems
- What was wrong with this argument?
- Example of a Minimum Cost Capacitated Flow Problem
- Negative cost coefficients in Transportation problem
- optimization loss due to misperceived probability
Trending Questions
- Induction on the number of equations
- How to convince a math teacher of this simple and obvious fact?
- Find $E[XY|Y+Z=1 ]$
- Refuting the Anti-Cantor Cranks
- What are imaginary numbers?
- Determine the adjoint of $\tilde Q(x)$ for $\tilde Q(x)u:=(Qu)(x)$ where $Q:U→L^2(Ω,ℝ^d$ is a Hilbert-Schmidt operator and $U$ is a Hilbert space
- Why does this innovative method of subtraction from a third grader always work?
- How do we know that the number $1$ is not equal to the number $-1$?
- What are the Implications of having VΩ as a model for a theory?
- Defining a Galois Field based on primitive element versus polynomial?
- Can't find the relationship between two columns of numbers. Please Help
- Is computer science a branch of mathematics?
- Is there a bijection of $\mathbb{R}^n$ with itself such that the forward map is connected but the inverse is not?
- Identification of a quadrilateral as a trapezoid, rectangle, or square
- Generator of inertia group in function field extension
Popular # Hahtags
second-order-logic
numerical-methods
puzzle
logic
probability
number-theory
winding-number
real-analysis
integration
calculus
complex-analysis
sequences-and-series
proof-writing
set-theory
functions
homotopy-theory
elementary-number-theory
ordinary-differential-equations
circles
derivatives
game-theory
definite-integrals
elementary-set-theory
limits
multivariable-calculus
geometry
algebraic-number-theory
proof-verification
partial-derivative
algebra-precalculus
Popular Questions
- What is the integral of 1/x?
- How many squares actually ARE in this picture? Is this a trick question with no right answer?
- Is a matrix multiplied with its transpose something special?
- What is the difference between independent and mutually exclusive events?
- Visually stunning math concepts which are easy to explain
- taylor series of $\ln(1+x)$?
- How to tell if a set of vectors spans a space?
- Calculus question taking derivative to find horizontal tangent line
- How to determine if a function is one-to-one?
- Determine if vectors are linearly independent
- What does it mean to have a determinant equal to zero?
- Is this Batman equation for real?
- How to find perpendicular vector to another vector?
- How to find mean and median from histogram
- How many sides does a circle have?
No, the Wasserstein space does not have the property that bounded sets are precompact. A counterexample is given in Remark 2.8 here: https://www.math.umd.edu/~yanir/OT/AmbrosioGigliDec2011.pdf. The preceding theorem also gives a characterization of precompactness in $W_2$ ($W_p$ is very similar).
PS. I do not agree that $W_p (0, \mu)$ is a norm, at least in the obvious way. After all, given a constant $c\neq 0$, we would require that $\Vert c \mu \Vert_p = |c| \Vert \mu \Vert_p$. But what is $c \mu$ supposed to be? Usually in measure theory we would say that $c \mu$ is defined so that $ c\mu(A) = c (\mu(A))$ for every measurable set. But if $c\neq1$ then $c\mu$ is not even a probability measure, hence not even in $W_p$, so $W_p (0, c\mu)$ is ill-defined.
However, $W_p (\mathbb(R)^d)$ is a complete separable metric space which is in some sense infinite-dimensional. It is just not a Banach space. It is better to think of the space of probability measures as a surface inside the space of all signed measures (which is actually a Banach space), but with $W_p$ we have equipped that surface with an exotic metric that is not induced from the ambient space.