1990
DOI: 10.1007/bf02187792
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Exterior algebra and projections of polytopes

Abstract: This paper explores the metrical properties of convex polytopes by means of the classical Pliicker embedding of the Grassmannian G(k, n) of k-planes in R n into the exterior algebra AkR ~. The results follow from the description of the volume of the projection of a polytope into a k-plane by a piecewise linear function on G(k, n). For example, the Hodge-star operator is used to obtain the volume of a polytope from its Gale transform. Also, the classification of the faces of G(2, n) (or G(n-2, n)) imply that th… Show more

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Cited by 13 publications
(19 citation statements)
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“…Let Q be a convex polytopr in R 2" with G as its symmetry group. Suppose H < G is a subgroup of G which satisfies the conditions of Theorem 1, and let P = H(Q: L) be the orthogonal projection of Q into the n-space L fixed by H. According to [7,Th. 1], there is a 'projection form' 9 e A~R 2" such that (2.1)…”
Section: Applicationsmentioning
confidence: 99%
“…Let Q be a convex polytopr in R 2" with G as its symmetry group. Suppose H < G is a subgroup of G which satisfies the conditions of Theorem 1, and let P = H(Q: L) be the orthogonal projection of Q into the n-space L fixed by H. According to [7,Th. 1], there is a 'projection form' 9 e A~R 2" such that (2.1)…”
Section: Applicationsmentioning
confidence: 99%
“…That is, if P = 11(77": L) and £ e G(k,n) is an orientation of L, then there exists a /c-vector O e Ati?" such that (1.2) fop) = <0,¿:} (see [6,Theorem 1]). This formula holds in a region ;t(<P) c G(k , n) in which the projections have the same combinatorial type as P. In finding extreme projections, we generally work with each region #(<P) separately.…”
Section: Preliminariesmentioning
confidence: 99%
“…We shall assume all subspaces belong to //, and that their orientations belong to i(G(k, «)). This restriction is not so important for maximal projections since [6,Proposition 2] shows that the largest projection must lie in H. However, it is crucial for minimal projections since we can choose L e G(k, « + 1 ), L<A\H, with V(Tn : L) as small as desired.…”
Section: Preliminariesmentioning
confidence: 99%
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