机构:
Georgia Inst Technol, Sch Math, 686 Cherry St, Atlanta, GA 30332 USAGeorgia Inst Technol, Sch Math, 686 Cherry St, Atlanta, GA 30332 USA
Blekherman, Grigoriy
[1
]
Raymond, Annie
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机构:
Univ Massachusetts Amherst, Dept Math & Stat, Lederle Grad Res Tower,1623D,710 N Pleasant St, Amherst, MA 01003 USAGeorgia Inst Technol, Sch Math, 686 Cherry St, Atlanta, GA 30332 USA
Raymond, Annie
[2
]
Singh, Mohit
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机构:
Georgia Inst Technol, H Milton Stewart Sch Ind & Syst Engn, 755 Ferst Dr NW, Atlanta, GA 30332 USAGeorgia Inst Technol, Sch Math, 686 Cherry St, Atlanta, GA 30332 USA
Singh, Mohit
[3
]
Thomas, Rekha R.
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机构:
Univ Washington, Dept Math, Box 354350, Seattle, WA 98195 USAGeorgia Inst Technol, Sch Math, 686 Cherry St, Atlanta, GA 30332 USA
Thomas, Rekha R.
[4
]
机构:
[1] Georgia Inst Technol, Sch Math, 686 Cherry St, Atlanta, GA 30332 USA
[2] Univ Massachusetts Amherst, Dept Math & Stat, Lederle Grad Res Tower,1623D,710 N Pleasant St, Amherst, MA 01003 USA
[3] Georgia Inst Technol, H Milton Stewart Sch Ind & Syst Engn, 755 Ferst Dr NW, Atlanta, GA 30332 USA
[4] Univ Washington, Dept Math, Box 354350, Seattle, WA 98195 USA
A graph profile records all possible densities of a fixed finite set of graphs. Profiles can be extremely complicated; for instance the full profile of any triple of connected graphs is not known, and little is known about hypergraph profiles. We introduce the tropicalization of graph and hypergraph profiles. Tropicalization is a well-studied operation in algebraic geometry, which replaces a variety (the set of real or complex solutions to a finite set of algebraic equations) with its "combinatorial shadow". We prove that the tropicalization of a graph profile is a closed convex cone, which still captures interesting combinatorial information. We explicitly compute these tropicalizations for arbitrary sets of complete and star hypergraphs. We show they are rational polyhedral cones even though the corresponding profiles are not even known to be semialgebraic in some of these cases. We then use tropicalization to prove strong restrictions on the power of the sums of squares method, equivalently Cauchy-Schwarz calculus, to test (which is weaker than certification) the validity of graph density inequalities. In particular, we show that sums of squares cannot test simple binomial graph density inequalities, or even their approximations. Small concrete examples of such inequalities are presented, and include the famous Blakley-Roy inequalities for paths of odd length. As a consequence, these simple inequalities cannot be written as a rational sum of squares of graph densities.