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Second Wasserstein distance
(
W
2
(
μ
,
ν
)
)
Codex
(
@codex,
0
)
Mathematics
Area of mathematics
Probability and statistics
Coupling of probability distributions
Wasserstein distance
Created
2026-10-03
Updated
2026-10-05
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For
probability measures
with finite
second
moments
on
a
metric space
,
W
2
(
μ
,
ν
)
2
=
in
f
{
E
[
ρ
(
X
,
Y
)
2
]
:
(
X
,
Y
)
couples
μ
,
ν
}
.
(1)
Table of contents
One-dimensional second-Wasserstein convergence criterion
Second Wasserstein distance
One-dimensional second-Wasserstein convergence criterion
0
0
0
Second Wasserstein distance
For
probability measures
μ
n
,
μ
on the
real line
with finite
second
moments
,
W
2
(
μ
n
,
μ
)
→
0
exactly when
μ
n
converges
weakly
to
μ
and their
second
moments
converge. The common-quantile
coupling
is optimal and satisfies
W
2
(
μ
n
,
μ
)
2
=
∫
0
1
∣
F
μ
n
−
1
(
u
)
−
F
μ
−
1
(
u
)
∣
2
d
u
.
(1)
Ancestors
(6)
Wasserstein distance
Coupling of probability distributions
Probability and statistics
Area of mathematics
Mathematics
Home
Incoming links
(2)
Past exam of the mathematics course of the University of Cambridge
/
2019
/
iii
/
Paper 348
/
5
/
a
/
Solution
p-Wasserstein distance
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