Loomis–Whitney inequality
{{Short description|Result in geometry}}
In mathematics, the Loomis–Whitney inequality is a result in geometry, which in its simplest form, allows one to estimate the "size" of a -dimensional set by the sizes of its -dimensional projections. The inequality has applications in incidence geometry, the study of so-called "lattice animals", and other areas.
The result is named after the American mathematicians Lynn Harold Loomis and Hassler Whitney, and was published in 1949.
Statement of the inequality
Fix a dimension and consider the projections
:
:
For each 1 ≤ j ≤ d, let
:
:
Then the Loomis–Whitney inequality holds:
:
= \int_{\mathbb{R}^{d}} \prod_{j = 1}^{d} g_{j} ( \pi_{j} (x) ) \, \mathrm{d} x \leq \prod_{j = 1}^{d} \| g_{j} \|_{L^{d - 1} (\mathbb{R}^{d - 1})}.
Equivalently, taking we have
:
:
implying
:
A special case
The Loomis–Whitney inequality can be used to relate the Lebesgue measure of a subset of Euclidean space to its "average widths" in the coordinate directions. This is in fact the original version published by Loomis and Whitney in 1949 (the above is a generalization).{{Cite journal |last1=Loomis |first1=L. H. |last2=Whitney |first2=H. |date=1949 |title=An inequality related to the isoperimetric inequality |url=https://www.ams.org/bull/1949-55-10/S0002-9904-1949-09320-5/ |journal=Bulletin of the American Mathematical Society |language=en |volume=55 |issue=10 |pages=961–962 |doi=10.1090/S0002-9904-1949-09320-5 |issn=0273-0979|doi-access=free }}
Let E be some measurable subset of and let
:
be the indicator function of the projection of E onto the jth coordinate hyperplane. It follows that for any point x in E,
:
Hence, by the Loomis–Whitney inequality,
:
and hence
:
The quantity
:
can be thought of as the average width of in the th coordinate direction. This interpretation of the Loomis–Whitney inequality also holds if we consider a finite subset of Euclidean space and replace Lebesgue measure by counting measure.
The following proof is the original one
{{Math proof|title=Proof|proof=
Overview: We prove it for unions of unit cubes on the integer grid, then take the continuum limit. When , it is obvious. Now induct on . The only trick is to use Hölder's inequality for counting measures.
Enumerate the dimensions of as .
Given unit cubes on the integer grid in , with their union being , we project them to the 0-th coordinate. Each unit cube projects to an integer unit interval on . Now define the following:
- enumerate all such integer unit intervals on the 0-th coordinate.
- Let be the set of all unit cubes that projects to .
- Let be the area of , with .
- Let be the volume of . We have , and .
- Let be for all .
- Let be the area of . We have .
By induction on each slice of , we have
Multiplying by , we have
Thus
Now, the sum-product can be written as an integral over counting measure, allowing us to perform Holder's inequality:
Plugging in , we get
}}
Corollary. Since , we get a loose isoperimetric inequality:
Iterating the theorem yields and more generally{{Cite book |last1=Burago |first1=Yurii D. |url=https://books.google.com/books?id=Gpz6CAAAQBAJ&pg=PA1 |title=Geometric Inequalities |last2=Zalgaller |first2=Viktor A. |date=2013-03-14 |publisher=Springer Science & Business Media |isbn=978-3-662-07441-1 |pages=95 |language=en}}where enumerates over all projections of to its dimensional subspaces.
Generalizations
The Loomis–Whitney inequality is a special case of the Brascamp–Lieb inequality, in which the projections πj above are replaced by more general linear maps, not necessarily all mapping onto spaces of the same dimension.
References
{{reflist}}
Sources
- {{cite book|mr=3524748|last1=Alon|first1=Noga|last2=Spencer|first2=Joel H.|title=The probabilistic method|edition=Fourth edition of 1992 original|series=Wiley Series in Discrete Mathematics and Optimization|publisher=John Wiley & Sons, Inc.|location=Hoboken, NJ|year=2016|isbn=978-1-119-06195-3|author-link1=Noga Alon|author-link2=Joel H. Spencer|zbl=1333.05001}}
- {{cite book|mr=3185193|last1=Boucheron|first1=Stéphane|last2=Lugosi|first2=Gábor|last3=Massart|first3=Pascal|author-link3=Pascal Massart|title=Concentration inequalities. A nonasymptotic theory of independence|publisher=Oxford University Press|location=Oxford|year=2013|isbn=978-0-19-953525-5|zbl=1279.60005|doi=10.1093/acprof:oso/9780199535255.001.0001}}
- {{cite book|mr=0936419|last1=Burago|first1=Yu. D.|last2=Zalgaller|first2=V. A.|title=Geometric inequalities|translator-first1=A. B.|translator-last1=Sosinskiĭ|series=Grundlehren der mathematischen Wissenschaften|volume=285|publisher=Springer-Verlag|location=Berlin|year=1988|isbn=3-540-13615-0|author-link1=Yuri Burago|author-link2=Victor Zalgaller|doi=10.1007/978-3-662-07441-1|zbl=0633.53002}}
- {{cite book|mr=0102775|last1=Hadwiger|first1=H.|title=Vorlesungen über Inhalt, Oberfläche und Isoperimetrie|publisher=Springer-Verlag|location=Berlin–Göttingen–Heidelberg|year=1957|zbl=0078.35703|isbn=3-642-94702-6|series=Grundlehren der mathematischen Wissenschaften|volume=93|doi=10.1007/978-3-642-94702-5|author-link1=Hugo Hadwiger}}
- {{cite journal
| last1 = Loomis
| first1 = L. H.
|authorlink1=Lynn Harold Loomis
|last2=Whitney
|first2=H.
|authorlink2=Hassler Whitney
| title = An inequality related to the isoperimetric inequality
| journal = Bulletin of the American Mathematical Society
| volume = 55
| issue = 10
| year = 1949
| pages = 961–962
| doi = 10.1090/S0002-9904-1949-09320-5
| doi-access = free
|mr=0031538
|zbl=0035.38302
}}
{{DEFAULTSORT:Loomis-Whitney inequality}}