The skewed projection inequality for weak antichains

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Let A[0,1]nA\subseteq[0,1]^n be a weak antichain, meaning that no two distinct points x,yAx,y\in A satisfy xi<yix_i<y_i for every coordinate ii. For each i[n]i\in[n], define

Ai=A{(x1,,xn)[0,1]n:xi=min{x1,,xn}}.\underline{A}_i=A\cap\{(x_1,\ldots,x_n)\in[0,1]^n:x_i=\min\{x_1,\ldots,x_n\}\}.

Define the skewed projection Δi:Ai[0,1]n1\Delta_i:\underline{A}_i\to[0,1]^{n-1} by deleting the iith coordinate after subtracting xix_i from every remaining coordinate:

Δi(x1,,xn)=(x1xi,,xi1xi,xi+1xi,,xnxi).\Delta_i(x_1,\ldots,x_n)=(x_1-x_i,\ldots,x_{i-1}-x_i,x_{i+1}-x_i,\ldots,x_n-x_i).

Skewed projection inequality. If AA is a weak antichain, then

Hn1(A)i=1nHn1(Δi(Ai)).\mathcal H^{n-1}(A)\leq\sum_{i=1}^{n}\mathcal H^{n-1}\bigl(\Delta_i(\underline{A}_i)\bigr).

This proposed extension of projection inequalities replaces orthogonal projections by skewed projections. The source presents it as a belief rather than an established result, and the injectivity of these maps on weak antichains motivates the formulation.

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Sources & referencesView supporting material

Primary source

Konrad Engel, Themis Mitsis, Christos Pelekis and Christian Reiher, “Projection inequalities for antichains”, arXiv:1812.06496 (2018).

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