On the fibers of the principal minor map and an application to stable polynomials

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On the fibers of the principal minor map and an application to stable polynomials

ReferencesShowing 10 of 16 papers
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Negative dependence and the geometry of polynomials
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Hyperdeterminantal relations among symmetric principal minors
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Determinantal Representations and the Image of the Principal Minor Map
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  • International Mathematics Research Notices
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On matrices having equal corresponding principal minors
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  • Linear Algebra and its Applications
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Hyperbolic polynomials, interlacers, and sums of squares
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An efficient algorithm for the symmetric principal minor assignment problem
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  • Linear Algebra and its Applications
  • Justin Rising + 2 more

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  • 10.1016/j.laa.2015.07.024
Skew-symmetric matrices and their principal minors
  • Jul 29, 2015
  • Linear Algebra and its Applications
  • Abderrahim Boussaïri + 1 more

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Principal minors and diagonal similarity of matrices
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Set-theoretic defining equations of the variety of principal minors of symmetric matrices
  • Aug 22, 2011
  • Algebra & Number Theory
  • Luke Oeding

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  • 10.4171/jems/1330
Complete quadrics: Schubert calculus for Gaussian models and semidefinite programming
  • May 3, 2023
  • Journal of the European Mathematical Society
  • Laurent Manivel + 4 more

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Hadamard Factorization of Stable Polynomials
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  • Carlos Arturo Loredo-Villalobos + 4 more

The stable (Hurwitz) polynomials are important in the study of differential equations systems and control theory (see [7] and [19]). A property of these polynomials is related to Hadamard product. Consider two polynomials p,q ∈ R[x]:p(x) = anxn+an−1xn−1+...+a1x+a0q(x) = bmxm+bm−1xm−1+...+b1x+b0the Hadamard product (p × q) is defined as (p×q)(x) = akbkxk+ak−1bk−1xk−1+...+a1b1x+a0b0where k = min(m,n). Some results (see [16]) shows that if p,q ∈R[x] are stable polynomials then (p×q) is stable, also, i.e. the Hadamard product is closed; however, the reciprocal is not always true, that is, not all stable polynomial has a factorization into two stable polynomials the same degree n, if n> 4 (see [15]).In this work we will give some conditions to Hadamard factorization existence for stable polynomials.

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  • 10.1215/ijm/1373636698
Stable symmetric polynomials and the Schur–Agler class
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We call a multivariable polynomial an Agler denominator if it is the denominator of a rational inner function in the Schur-Agler class, an important subclass of the bounded analytic functions on the polydisk. We give a necessary and sufficient condition for a multi-affine, symmetric, and stable polynomial to be an Agler denominator and prove several consequences. We also sharpen a result due to Kummert related to three variable, multi-affine, stable polynomials.

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Synthesis of Hurwitz Polynomial Families Using Root Locus Portraits
  • Jan 1, 2019
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  • Alla Anatolyevna Nesenchuk

The paper deals with the problem of synthesis of a stable characteristic polynomial families describing the control systems' dynamics in conditions of the interval uncertainty. Investigation is based on the system mathematical model in the form of its root locus portrait generated by the polynomial free term variation that is named in the paper as the "free root locus portrait". The root loci of the Kharitonov's polynomials family (subfamily) is picked out of the whole polynomial family and is considered for carrying out the investigation. Specific regularities of the interval root locus portrait have been discovered. On the basis of these regularities main properties of the system root locus portrait have been defined. A stability condition has been formulated that allows to calculate the polynomial free term variation interval ensuring the polynomial family hurwitz stability. This stability condition is applicable to the class of polynomials having their free root locus poles lying within the left half-plane of roots or, in other words, being stable when their free term is equal to zero. The stable family is being synthesized by setting up (adjusting) the given initial family that is supposed to be unstable, i.e. the proposed method of synthesis allows to turn stable (hurwitz) the given nonhurwitz interval polynomial family. The setting up criterion is specified in terms of proximity i.e. as the nearest distance from the "unstable" system roots to the "stable" ones as measured along the root trajectories. The stable polynomial could be selected as the nearest to the given unstable one with or without consideration of the system quality requirements. In the course of the setting up procedure new boundaries of only the polynomial free term variation interval (stability interval) are calculated that allows to ensure system stability without modification of its root locus portrait configuration. A numerical example of the polynomial setting up procedure has been given.

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Existence and determination of the set of Metzler matrices for given stable polynomials
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Existence and determination of the set of Metzler matrices for given stable polynomialsThe problem of the existence and determination of the set of Metzler matrices for given stable polynomials is formulated and solved. Necessary and sufficient conditions are established for the existence of the set of Metzler matrices for given stable polynomials. A procedure for finding the set of Metzler matrices for given stable polynomials is proposed and illustrated with numerical examples.

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Jacobi–Trudi formulas for flagged refined dual stable Grothendieck polynomials
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Recently Galashin, Grinberg, and Liu introduced the refined dual stable Grothendieck polynomials, which are symmetric functions in x=(x 1 ,x 2 ,...) with additional parameters t=(t 1 ,t 2 ,...). The refined dual stable Grothendieck polynomials are defined as a generating function for reverse plane partitions of a given shape. They interpolate between Schur functions and dual stable Grothendieck polynomials introduced by Lam and Pylyavskyy in 2007. Flagged refined dual stable Grothendieck polynomials are a more refined version of refined dual stable Grothendieck polynomials, where lower and upper bounds are given for the entries of each row or column. In this paper Jacobi–Trudi-type formulas for flagged refined dual stable Grothendieck polynomials are proved using plethystic substitution. This resolves a conjecture of Grinberg and generalizes a result by Iwao and Amanov–Yeliussizov.

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We consider the Hadamard (i.e. the coefficient-wise) product of two poly nomials. The set of the Hurwitz stable polynomials is closed under the Hadamard product, whereas the set of the Schur stable polynomials is not. In this note we show that each Schur stable polynomial allows a Hadamard factorization into two Schur stable polynomials, whereas there are Hurwitz stable polynomials of degree 4 which do not have a Hadamard factorization into two Hurwitz stable polynomials of degree 4.

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Stable Grothendieck polynomials and K-theoretic factor sequences
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  • Mathematische Annalen
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We formulate a nonrecursive combinatorial rule for the expansion of the stable Grothendieck polynomials of [Fomin-Kirillov '94] in the basis of stable Grothendieck polynomials for partitions. This gives a common generalization, as well as new proofs of the rule of [Fomin-Greene '98] for the expansion of the stable Schubert polynomials into Schur polynomials, and the K-theoretic Grassmannian Littlewood-Richardson rule of [Buch '02]. The proof is based on a generalization of the Robinson-Schensted and Edelman-Greene insertion algorithms. Our results are applied to prove a number of new formulas and properties for K-theoretic quiver polynomials, and the Grothendieck polynomials of [Lascoux-Schutzenberger '82]. In particular, we provide the first $K$-theoretic analogue of the factor sequence formula of [Buch-Fulton '99] for the cohomological quiver polynomials.

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Duality and deformations of stable Grothendieck polynomials
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Stable Grothendieck polynomials can be viewed as a K-theory analog of Schur polynomials. We extend stable Grothendieck polynomials to a two-parameter version, which we call canonical stable Grothendieck functions. These functions have the same structure constants (with scaling) as stable Grothendieck polynomials and (composing with parameter switching) are self-dual under the standard involutive ring automorphism. We study various properties of these functions, including combinatorial formulas, Schur expansions, Jacobi–Trudi-type identities, and associated Fomin–Greene operators.

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We study the problem of allocating m items to n agents subject to maximizing the Nash social welfare (NSW) objective. We write a novel convex programming relaxation for this problem, and we show that a simple randomized rounding algorithm gives a 1/e approximation factor of the objective, breaking the 1/2e^(1/e) approximation factor of Cole and Gkatzelis. Our main technical contribution is an extension of Gurvits's lower bound on the coefficient of the square-free monomial of a degree m-homogeneous stable polynomial on m variables to all homogeneous polynomials. We use this extension to analyze the expected welfare of the allocation returned by our randomized rounding algorithm.

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