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Statement
Setting (pp. 10--11). For a convex body in , is the set of nonnegative functions on that are Lebesgue integrable over . For and , , and for a hyperplane meeting the sectional integral is the integral of over with respect to -dimensional Lebesgue measure on . For , is the set of with for every meeting , and is the infimum of over . The circumradius is the radius of the smallest Euclidean ball containing .
Lemma 6.3 (p. 11). If is a convex body with circumradius in , then .
Proof pointer
Pp. 11--12. Translate so that the -weighted centroid of is the origin and take with , where is the least radius of a ball about the origin containing and is the support function. The vanishing first moment in the direction , with , makes the moments over and over each at least . A one-dimensional extremal bound, (12), then gives each half of at least .
Read depth
Claims checked: the definitions and Lemma 6.3 were read clause by clause on the print, and the proof on pp. 11--12 was followed; the infimum (12), which the paper says one can check, was not rederived.
Dependencies
None.
Source. K. Bezdek and A. E. Litvak, Packing convex bodies by cylinders, Discrete Comput. Geom. 55 (2016), no. 3, 725--738, doi:10.1007/s00454-016-9760-z; labels and pages are those of arXiv:1507.05115v2 (21 November 2015), as the source card records.
Bears on
- Problem 1121: the lemma is the step of Theorem 6.1 that turns the paper's upper bound on into the circumradius inequality .