Skip to content
DraconiticResearch
Search Sources API
186,086 studies31 sourcesUpdated 17 min ago
PreprintarXiv licencearXiv

Expected mixed volumes of convex hulls of random walks and Lévy processes

Abstract

Let C1,…,Ck be the convex hulls of independent partial-sum processes in ℝd whose increments are exchangeable within each process. We express the expected mixed volume 𝔼 Vd(C1[m1],…,Ck[mk]), m1+⋯+mk=d, through mean absolute determinants of disjoint block sums of the increments; no general-position assumption is needed. For random walks with i.i.d. integrable increments the block sums are independent, and the formula extends the expected-volume formula of Barndorff-Nielsen and Baxter and of Vysotsky and Zaporozhets to mixed volumes. We then prove a continuous-time counterpart: for independent Lévy processes with finite first moments, the expected mixed volume of the closed convex hulls of their paths is an explicit integral of mean absolute determinants over a product of simplices. For symmetric stable processes the integral is evaluated in terms of the associated zonoids. As a geometric application, we compute the mean mixed volume of random projections of mutually orthogonal canonical orthoschemes.

Related

  1. Approximation algorithm for mixed volumes of a constant number of convex bodies
    Hariharan Narayanan
    arXivPreprintarXiv licenceFull textGeometry & topologyarXiv
  2. The Bézout inequality for mixed volumes characterizes simplices
    Dylan Langharst, Shouda Wang
    arXivPreprintarXiv licenceFull textGeometry & topologyarXiv
  3. An FPRAS for Mixed Volumes
    Xiaoyu Chen, Kuikui Liu
    arXivPreprintCC BY 4.0Full textCombinatorics & discrete mathematicsProbabilityarXiv
  4. Expected Infimum and persistence probabilities of Log-Normal Stationary Brown-Resnick Processes
    Krzysztof Dȩbicki, Enkelejd Hashorva, Svyatoslav Novikov
    arXivPreprintarXiv licenceFull textProbabilityarXiv
  5. Estimating the expected output of wide random MLPs more efficiently than sampling
    Wilson Wu, Victor Lecomte, Michael Winer +3
    arXivPreprintCC BY 4.0Full textStatisticsCondensed matterarXiv
BibTeX
@misc{bolotin2026expected,
  title = {{Expected mixed volumes of convex hulls of random walks and Lévy processes}},
  author = {Artyom Bolotin and Dmitry Zaporozhets},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.10228},
  eprint = {2610.10228},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.10228},
}
RIS
TY  - UNPB
TI  - Expected mixed volumes of convex hulls of random walks and Lévy processes
AU  - Artyom Bolotin
AU  - Dmitry Zaporozhets
PY  - 2026
DA  - 2026/10/07
PB  - arXiv
DO  - 10.48550/arxiv.2610.10228
UR  - https://arxiv.org/abs/2610.10228
AB  - Let C_1,…,C_k be the convex hulls of independent partial-sum processes in ℝ^d whose increments are exchangeable within each process. We express the expected mixed volume 𝔼 V_d(C_1[m_1],…,C_k[m_k]), m_1+⋯+m_k=d, through mean absolute determinants of disjoint block sums of the increments; no general-position assumption is needed. For random walks with i.i.d. integrable increments the block sums are independent, and the formula extends the expected-volume formula of Barndorff-Nielsen and Baxter and of Vysotsky and Zaporozhets to mixed volumes. We then prove a continuous-time counterpart: for independent Lévy processes with finite first moments, the expected mixed volume of the closed convex hulls of their paths is an explicit integral of mean absolute determinants over a product of simplices. For symmetric stable processes the integral is evaluated in terms of the associated zonoids. As a geometric application, we compute the mean mixed volume of random projections of mutually orthogonal canonical orthoschemes.
ER  -