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Sharpness of the Gaussian logarithmic Sobolev constant
(
g
s
(
x
)
=
e
s
x
/2
,
Ent
γ
(
g
s
2
)
=
2
E
γ
(
g
s
)
)
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Probability and statistics
Probability theory
Probability inequality
Concentration inequality
Poincaré inequality in probability theory
Gaussian logarithmic Sobolev inequality
2026-10-14
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For standard one-dimensional
Gaussian measure
,
∫
e
s
x
d
γ
=
e
s
2
/2
. Thus
Ent
γ
(
e
s
x
)
=
(
s
2
/2
)
e
s
2
/2
, while
∫
∣
(
e
s
x
/2
)
′
∣
2
d
γ
=
(
s
2
/4
)
e
s
2
/2
. Every nonzero
s
therefore attains
ratio
two, proving optimality of the Gaussian constant.
Ancestors
(9)
Gaussian logarithmic Sobolev inequality
Poincaré inequality in probability theory
Concentration inequality
Probability inequality
Probability theory
Probability and statistics
Area of mathematics
Mathematics
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Past exam of the mathematics course of the University of Cambridge
/
2006
/
iii
/
Paper 8
/
5
/
Solution
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