Calculating determinant of this positive semidefinite matrix is positive or not.












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I am dealing with the following problem:



Suppose we have the vector $v=(1,x_1,cdots ,x_n,x_1x_2,cdots ,x_n^2,cdots ,x_n^k)$. Elements of $v$ are monomials up to degree $k$.



I know that for any choice of $x_iin mathbb R^n$ the matrix $v^Tv$ is positive semidefinite. Question is do the following matrix has positive determinant?



$A=sum v^Tv$



Such that the summation is over all vectors $v$ with exactly $d$ of $x_i$ are $1$ and the other are $0$. And $din {1,cdots ,n-1}$.



I think the determinant is positive, could any one prove it or give a counter example?










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  • This cannot be true independently of the values of $d$ and $k$. You have only $dbinom{n}{d}$ many vectors $v$; thus, the rank of $A$ is $leq dbinom{n}{d}$. If this rank is $leq$ to the dimension of your vector space, then $A$ cannot have positive determinant.
    – darij grinberg
    Nov 27 at 2:21
















0














I am dealing with the following problem:



Suppose we have the vector $v=(1,x_1,cdots ,x_n,x_1x_2,cdots ,x_n^2,cdots ,x_n^k)$. Elements of $v$ are monomials up to degree $k$.



I know that for any choice of $x_iin mathbb R^n$ the matrix $v^Tv$ is positive semidefinite. Question is do the following matrix has positive determinant?



$A=sum v^Tv$



Such that the summation is over all vectors $v$ with exactly $d$ of $x_i$ are $1$ and the other are $0$. And $din {1,cdots ,n-1}$.



I think the determinant is positive, could any one prove it or give a counter example?










share|cite|improve this question
























  • This cannot be true independently of the values of $d$ and $k$. You have only $dbinom{n}{d}$ many vectors $v$; thus, the rank of $A$ is $leq dbinom{n}{d}$. If this rank is $leq$ to the dimension of your vector space, then $A$ cannot have positive determinant.
    – darij grinberg
    Nov 27 at 2:21














0












0








0







I am dealing with the following problem:



Suppose we have the vector $v=(1,x_1,cdots ,x_n,x_1x_2,cdots ,x_n^2,cdots ,x_n^k)$. Elements of $v$ are monomials up to degree $k$.



I know that for any choice of $x_iin mathbb R^n$ the matrix $v^Tv$ is positive semidefinite. Question is do the following matrix has positive determinant?



$A=sum v^Tv$



Such that the summation is over all vectors $v$ with exactly $d$ of $x_i$ are $1$ and the other are $0$. And $din {1,cdots ,n-1}$.



I think the determinant is positive, could any one prove it or give a counter example?










share|cite|improve this question















I am dealing with the following problem:



Suppose we have the vector $v=(1,x_1,cdots ,x_n,x_1x_2,cdots ,x_n^2,cdots ,x_n^k)$. Elements of $v$ are monomials up to degree $k$.



I know that for any choice of $x_iin mathbb R^n$ the matrix $v^Tv$ is positive semidefinite. Question is do the following matrix has positive determinant?



$A=sum v^Tv$



Such that the summation is over all vectors $v$ with exactly $d$ of $x_i$ are $1$ and the other are $0$. And $din {1,cdots ,n-1}$.



I think the determinant is positive, could any one prove it or give a counter example?







linear-algebra






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share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Nov 27 at 0:26

























asked Nov 27 at 0:08









GhD

795310




795310












  • This cannot be true independently of the values of $d$ and $k$. You have only $dbinom{n}{d}$ many vectors $v$; thus, the rank of $A$ is $leq dbinom{n}{d}$. If this rank is $leq$ to the dimension of your vector space, then $A$ cannot have positive determinant.
    – darij grinberg
    Nov 27 at 2:21


















  • This cannot be true independently of the values of $d$ and $k$. You have only $dbinom{n}{d}$ many vectors $v$; thus, the rank of $A$ is $leq dbinom{n}{d}$. If this rank is $leq$ to the dimension of your vector space, then $A$ cannot have positive determinant.
    – darij grinberg
    Nov 27 at 2:21
















This cannot be true independently of the values of $d$ and $k$. You have only $dbinom{n}{d}$ many vectors $v$; thus, the rank of $A$ is $leq dbinom{n}{d}$. If this rank is $leq$ to the dimension of your vector space, then $A$ cannot have positive determinant.
– darij grinberg
Nov 27 at 2:21




This cannot be true independently of the values of $d$ and $k$. You have only $dbinom{n}{d}$ many vectors $v$; thus, the rank of $A$ is $leq dbinom{n}{d}$. If this rank is $leq$ to the dimension of your vector space, then $A$ cannot have positive determinant.
– darij grinberg
Nov 27 at 2:21















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