2016
DOI: 10.48550/arxiv.1610.00926
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Primary decomposition and normality of certain determinantal ideals

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Cited by 3 publications
(8 citation statements)
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“…, g n form a regular sequence as well; see Lemma 4.3 and Theorem 6.1. However, this Gröbner basis is too small in size to be of much help in applications like computing primary decomposition of I 1 (XY ) or computing Betti numbers of ideals of the form I 1 (XY ) + J, carried out in [15] and [16] respectively. This motivated us to look for a a different Gröbner basis for I; see Theorem 4.1.…”
Section: Defining the Problemsmentioning
confidence: 99%
See 2 more Smart Citations
“…, g n form a regular sequence as well; see Lemma 4.3 and Theorem 6.1. However, this Gröbner basis is too small in size to be of much help in applications like computing primary decomposition of I 1 (XY ) or computing Betti numbers of ideals of the form I 1 (XY ) + J, carried out in [15] and [16] respectively. This motivated us to look for a a different Gröbner basis for I; see Theorem 4.1.…”
Section: Defining the Problemsmentioning
confidence: 99%
“…We prove that g 1 , • • • , g n : g n+1 = g 1 , • • • , g n , ∆ ; where ∆ = det(X). This proof requires the fact that g 1 , • • • , g n , ∆ is a prime ideal, which has been proved in Theorem 5.4 in [15]. Step 3.…”
Section: Gr öBner Basis For Jmentioning
confidence: 99%
See 1 more Smart Citation
“…Let I 1 (XY ) denote the ideal generated by the polynomials g j , which are the 1 × 1 minors or entries of the n × n matrix XY . The primality, primary decomposition and Betti numbers of ideals of the form I 1 (XY ) have been studied in [13] and [14], with the help of Gröbner bases for I 1 (XY ).…”
Section: Introductionmentioning
confidence: 99%
“…Ideals of the form I 1 (X n Y n ) has been studied by [2] and they appear in some of our recent works; see [4], [5], [6], [7]. We described its Gröbner bases, primary decompositions and Betti numbers through computational techniques, mostly under the assumption that X n is either a generic or a generic symmetric matrix.…”
Section: Introductionmentioning
confidence: 99%