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Random Determinants, Mixed Volumes of Ellipsoids, and Zeros of Gaussian Random Fields. / Zaporozhets, D.; Kabluchko, Z.

In: Journal of Mathematical Sciences (United States), Vol. 199, No. 2, 01.01.2014, p. 168-173.

Research output: Contribution to journalArticlepeer-review

Harvard

Zaporozhets, D & Kabluchko, Z 2014, 'Random Determinants, Mixed Volumes of Ellipsoids, and Zeros of Gaussian Random Fields', Journal of Mathematical Sciences (United States), vol. 199, no. 2, pp. 168-173. https://doi.org/10.1007/s10958-014-1844-9

APA

Zaporozhets, D., & Kabluchko, Z. (2014). Random Determinants, Mixed Volumes of Ellipsoids, and Zeros of Gaussian Random Fields. Journal of Mathematical Sciences (United States), 199(2), 168-173. https://doi.org/10.1007/s10958-014-1844-9

Vancouver

Zaporozhets D, Kabluchko Z. Random Determinants, Mixed Volumes of Ellipsoids, and Zeros of Gaussian Random Fields. Journal of Mathematical Sciences (United States). 2014 Jan 1;199(2):168-173. https://doi.org/10.1007/s10958-014-1844-9

Author

Zaporozhets, D. ; Kabluchko, Z. / Random Determinants, Mixed Volumes of Ellipsoids, and Zeros of Gaussian Random Fields. In: Journal of Mathematical Sciences (United States). 2014 ; Vol. 199, No. 2. pp. 168-173.

BibTeX

@article{aa4bb3eb6dc144a689d590397288ab16,
title = "Random Determinants, Mixed Volumes of Ellipsoids, and Zeros of Gaussian Random Fields",
abstract = "Consider a d × d matrix M whose rows are independent, centered, nondegenerate Gaussian vectors ξ1,...,ξd with covariance matrices Σ1,...,Σd. Denote by εi the dispersion ellipsoid of ξi:εi}= {x ∈ ℝ}d}: x⊤ ∑i-1} . We show that (Formula presented.) where Vd (·,...,·) denotes the mixed volume. We also generalize this result to the case of rectangular matrices. As a direct corollary, we get an analytic expression for the mixed volume of d arbitrary ellipsoids in ℝd. As another application, we consider a smooth, centered, nondegenerate Gaussian random field X = (X1,...,Xk)⊤ : ℝd → ℝk. Using the Kac-Rice formula, we obtain a geometric interpretation of the intensity of zeros of X in terms of the mixed volume of dispersion ellipsoids of the gradients of Xi/√VarXi. This relates zero sets of equations to mixed volumes in a way which is reminiscent of the well-known Bernstein theorem about the number of solutions of a typical system of algebraic equations. {\textcopyright} 2014 Springer Science+Business Media New York.",
author = "D. Zaporozhets and Z. Kabluchko",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/s10958-014-1844-9",
language = "English",
volume = "199",
pages = "168--173",
journal = "Journal of Mathematical Sciences",
issn = "1072-3374",
publisher = "Springer Nature",
number = "2",

}

RIS

TY - JOUR

T1 - Random Determinants, Mixed Volumes of Ellipsoids, and Zeros of Gaussian Random Fields

AU - Zaporozhets, D.

AU - Kabluchko, Z.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Consider a d × d matrix M whose rows are independent, centered, nondegenerate Gaussian vectors ξ1,...,ξd with covariance matrices Σ1,...,Σd. Denote by εi the dispersion ellipsoid of ξi:εi}= {x ∈ ℝ}d}: x⊤ ∑i-1} . We show that (Formula presented.) where Vd (·,...,·) denotes the mixed volume. We also generalize this result to the case of rectangular matrices. As a direct corollary, we get an analytic expression for the mixed volume of d arbitrary ellipsoids in ℝd. As another application, we consider a smooth, centered, nondegenerate Gaussian random field X = (X1,...,Xk)⊤ : ℝd → ℝk. Using the Kac-Rice formula, we obtain a geometric interpretation of the intensity of zeros of X in terms of the mixed volume of dispersion ellipsoids of the gradients of Xi/√VarXi. This relates zero sets of equations to mixed volumes in a way which is reminiscent of the well-known Bernstein theorem about the number of solutions of a typical system of algebraic equations. © 2014 Springer Science+Business Media New York.

AB - Consider a d × d matrix M whose rows are independent, centered, nondegenerate Gaussian vectors ξ1,...,ξd with covariance matrices Σ1,...,Σd. Denote by εi the dispersion ellipsoid of ξi:εi}= {x ∈ ℝ}d}: x⊤ ∑i-1} . We show that (Formula presented.) where Vd (·,...,·) denotes the mixed volume. We also generalize this result to the case of rectangular matrices. As a direct corollary, we get an analytic expression for the mixed volume of d arbitrary ellipsoids in ℝd. As another application, we consider a smooth, centered, nondegenerate Gaussian random field X = (X1,...,Xk)⊤ : ℝd → ℝk. Using the Kac-Rice formula, we obtain a geometric interpretation of the intensity of zeros of X in terms of the mixed volume of dispersion ellipsoids of the gradients of Xi/√VarXi. This relates zero sets of equations to mixed volumes in a way which is reminiscent of the well-known Bernstein theorem about the number of solutions of a typical system of algebraic equations. © 2014 Springer Science+Business Media New York.

UR - http://www.scopus.com/inward/record.url?scp=84902275899&partnerID=8YFLogxK

U2 - 10.1007/s10958-014-1844-9

DO - 10.1007/s10958-014-1844-9

M3 - Article

AN - SCOPUS:84902275899

VL - 199

SP - 168

EP - 173

JO - Journal of Mathematical Sciences

JF - Journal of Mathematical Sciences

SN - 1072-3374

IS - 2

ER -

ID: 126288960