Minimal matchings of point processes
Suppose that red and blue points form independent homogeneous Poisson processes of equal intensity in R d . For a positive (respectively, negative) parameter γ we consider red-blue matchings that locally minimize (respectively, maximize) the sum of γ th powers of the edge lengths, subject to locally...
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Published in | Probability theory and related fields Vol. 184; no. 1-2; pp. 571 - 611 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.10.2022
Springer Nature B.V |
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Abstract | Suppose that red and blue points form independent homogeneous Poisson processes of equal intensity in
R
d
. For a positive (respectively, negative) parameter
γ
we consider red-blue matchings that locally minimize (respectively, maximize) the sum of
γ
th powers of the edge lengths, subject to locally minimizing the number of unmatched points. The parameter can be viewed as a measure of fairness. The limit
γ
→
-
∞
is equivalent to Gale-Shapley stable matching. We also consider limits as
γ
approaches 0,
1
-
,
1
+
and
∞
. We focus on dimension
d
=
1
. We prove that almost surely no such matching has unmatched points. (This question is open for higher
d
). For each
γ
<
1
we establish that there is almost surely a unique such matching, and that it can be expressed as a finitary factor of the points. Moreover, its typical edge length has finite
r
th moment if and only if
r
<
1
/
2
. In contrast, for
γ
=
1
there are uncountably many matchings, while for
γ
>
1
there are countably many, but it is impossible to choose one in a translation-invariant way. We obtain existence results in higher dimensions (covering many but not all cases). We address analogous questions for one-colour matchings also. |
---|---|
AbstractList | Suppose that red and blue points form independent homogeneous Poisson processes of equal intensity in
R
d
. For a positive (respectively, negative) parameter
γ
we consider red-blue matchings that locally minimize (respectively, maximize) the sum of
γ
th powers of the edge lengths, subject to locally minimizing the number of unmatched points. The parameter can be viewed as a measure of fairness. The limit
γ
→
-
∞
is equivalent to Gale-Shapley stable matching. We also consider limits as
γ
approaches 0,
1
-
,
1
+
and
∞
. We focus on dimension
d
=
1
. We prove that almost surely no such matching has unmatched points. (This question is open for higher
d
). For each
γ
<
1
we establish that there is almost surely a unique such matching, and that it can be expressed as a finitary factor of the points. Moreover, its typical edge length has finite
r
th moment if and only if
r
<
1
/
2
. In contrast, for
γ
=
1
there are uncountably many matchings, while for
γ
>
1
there are countably many, but it is impossible to choose one in a translation-invariant way. We obtain existence results in higher dimensions (covering many but not all cases). We address analogous questions for one-colour matchings also. Abstract Suppose that red and blue points form independent homogeneous Poisson processes of equal intensity in $${{\mathbb {R}}}^d$$ R d . For a positive (respectively, negative) parameter $$\gamma $$ γ we consider red-blue matchings that locally minimize (respectively, maximize) the sum of $$\gamma $$ γ th powers of the edge lengths, subject to locally minimizing the number of unmatched points. The parameter can be viewed as a measure of fairness. The limit $$\gamma \rightarrow -\infty $$ γ → - ∞ is equivalent to Gale-Shapley stable matching. We also consider limits as $$\gamma $$ γ approaches 0, $$1-$$ 1 - , $$1+$$ 1 + and $$\infty $$ ∞ . We focus on dimension $$d=1$$ d = 1 . We prove that almost surely no such matching has unmatched points. (This question is open for higher d ). For each $$\gamma <1$$ γ < 1 we establish that there is almost surely a unique such matching, and that it can be expressed as a finitary factor of the points. Moreover, its typical edge length has finite r th moment if and only if $$r<1/2$$ r < 1 / 2 . In contrast, for $$\gamma =1$$ γ = 1 there are uncountably many matchings, while for $$\gamma >1$$ γ > 1 there are countably many, but it is impossible to choose one in a translation-invariant way. We obtain existence results in higher dimensions (covering many but not all cases). We address analogous questions for one-colour matchings also. Suppose that red and blue points form independent homogeneous Poisson processes of equal intensity in R-d. For a positive (respectively, negative) parameter gamma we consider red-blue matchings that locally minimize (respectively, maximize) the sum of gamma th powers of the edge lengths, subject to locally minimizing the number of unmatched points. The parameter can be viewed as a measure of fairness. The limit gamma -> -infinity is equivalent to Gale-Shapley stable matching. We also consider limits as gamma approaches 0, 1-, 1+ and infinity. We focus on dimension d = 1. We prove that almost surely no such matching has unmatched points. (This question is open for higher d). For each gamma < 1 we establish that there is almost surely a unique such matching, and that it can be expressed as a finitary factor of the points. Moreover, its typical edge length has finite rth moment if and only if r < 1 /2. In contrast, for gamma = 1 there are uncountably many matchings, while for gamma > 1 there are countably many, but it is impossible to choose one in a translation-invariant way. We obtain existence results in higher dimensions (covering many but not all cases). We address analogous questions for one-colour matchings also. Suppose that red and blue points form independent homogeneous Poisson processes of equal intensity in Rd. For a positive (respectively, negative) parameter γ we consider red-blue matchings that locally minimize (respectively, maximize) the sum of γth powers of the edge lengths, subject to locally minimizing the number of unmatched points. The parameter can be viewed as a measure of fairness. The limit γ→-∞ is equivalent to Gale-Shapley stable matching. We also consider limits as γ approaches 0, 1-, 1+ and ∞. We focus on dimension d=1. We prove that almost surely no such matching has unmatched points. (This question is open for higher d). For each γ<1 we establish that there is almost surely a unique such matching, and that it can be expressed as a finitary factor of the points. Moreover, its typical edge length has finite rth moment if and only if r<1/2. In contrast, for γ=1 there are uncountably many matchings, while for γ>1 there are countably many, but it is impossible to choose one in a translation-invariant way. We obtain existence results in higher dimensions (covering many but not all cases). We address analogous questions for one-colour matchings also. |
Author | Janson, Svante Holroyd, Alexander E. Wästlund, Johan |
Author_xml | – sequence: 1 givenname: Alexander E. surname: Holroyd fullname: Holroyd, Alexander E. email: a.e.holroyd@bristol.ac.uk organization: School of Mathematics, University of Bristol – sequence: 2 givenname: Svante surname: Janson fullname: Janson, Svante organization: Department of Mathematics, Uppsala University – sequence: 3 givenname: Johan surname: Wästlund fullname: Wästlund, Johan organization: Department of Mathematical Sciences, Chalmers University of Technology |
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Keywords | Matching 60D05 60G55 Point process Stationary process 05C70 Poisson process |
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Snippet | Suppose that red and blue points form independent homogeneous Poisson processes of equal intensity in
R
d
. For a positive (respectively, negative) parameter
γ... Abstract Suppose that red and blue points form independent homogeneous Poisson processes of equal intensity in $${{\mathbb {R}}}^d$$ R d . For a positive... Suppose that red and blue points form independent homogeneous Poisson processes of equal intensity in Rd. For a positive (respectively, negative) parameter γ... Suppose that red and blue points form independent homogeneous Poisson processes of equal intensity in R-d. For a positive (respectively, negative) parameter... |
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SubjectTerms | Altruism Economics Finance Insurance Management Matching Mathematical and Computational Biology Mathematical and Computational Physics Mathematics Mathematics and Statistics Operations Research/Decision Theory Parameters Point process Poisson process Probability Probability Theory and Stochastic Processes Quantitative Finance Questions Stationary process Statistics for Business Theoretical |
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