question about determinant variety in Karen Smith's “An Invitation to Algebraic Geometry”

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I don't understand in the example below:



If $k geq n$, then the determinant variety is the whole space ? enter image description here







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  • She is talking about $n times n$-matrices. If $k geq n$, then each $n times n$-matrix has rank at most $k$.
    – darij grinberg
    Jul 22 at 18:15














up vote
2
down vote

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I don't understand in the example below:



If $k geq n$, then the determinant variety is the whole space ? enter image description here







share|cite|improve this question





















  • She is talking about $n times n$-matrices. If $k geq n$, then each $n times n$-matrix has rank at most $k$.
    – darij grinberg
    Jul 22 at 18:15












up vote
2
down vote

favorite
1









up vote
2
down vote

favorite
1






1





I don't understand in the example below:



If $k geq n$, then the determinant variety is the whole space ? enter image description here







share|cite|improve this question













I don't understand in the example below:



If $k geq n$, then the determinant variety is the whole space ? enter image description here









share|cite|improve this question












share|cite|improve this question




share|cite|improve this question








edited Jul 22 at 16:38
























asked Jul 22 at 16:20









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  • She is talking about $n times n$-matrices. If $k geq n$, then each $n times n$-matrix has rank at most $k$.
    – darij grinberg
    Jul 22 at 18:15
















  • She is talking about $n times n$-matrices. If $k geq n$, then each $n times n$-matrix has rank at most $k$.
    – darij grinberg
    Jul 22 at 18:15















She is talking about $n times n$-matrices. If $k geq n$, then each $n times n$-matrix has rank at most $k$.
– darij grinberg
Jul 22 at 18:15




She is talking about $n times n$-matrices. If $k geq n$, then each $n times n$-matrix has rank at most $k$.
– darij grinberg
Jul 22 at 18:15










2 Answers
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An $n times n$ matrix has $n$ rows and $n$ columns. The rank of a matrix is the number of linearly independent rows or columns (row rank and column rank being the same). The greatest possible number of linearly independent vectors out of a set of $n$ vectors is obviously $n$. Thus for $k ge n$, every $n times n$ matrix $A$ satisfies



$textrank(A) le n le k. tag 1$






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    Every $n times n$ matrix has rank at most $n$.






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      2 Answers
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      2 Answers
      2






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      active

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      up vote
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      accepted










      An $n times n$ matrix has $n$ rows and $n$ columns. The rank of a matrix is the number of linearly independent rows or columns (row rank and column rank being the same). The greatest possible number of linearly independent vectors out of a set of $n$ vectors is obviously $n$. Thus for $k ge n$, every $n times n$ matrix $A$ satisfies



      $textrank(A) le n le k. tag 1$






      share|cite|improve this answer

























        up vote
        4
        down vote



        accepted










        An $n times n$ matrix has $n$ rows and $n$ columns. The rank of a matrix is the number of linearly independent rows or columns (row rank and column rank being the same). The greatest possible number of linearly independent vectors out of a set of $n$ vectors is obviously $n$. Thus for $k ge n$, every $n times n$ matrix $A$ satisfies



        $textrank(A) le n le k. tag 1$






        share|cite|improve this answer























          up vote
          4
          down vote



          accepted







          up vote
          4
          down vote



          accepted






          An $n times n$ matrix has $n$ rows and $n$ columns. The rank of a matrix is the number of linearly independent rows or columns (row rank and column rank being the same). The greatest possible number of linearly independent vectors out of a set of $n$ vectors is obviously $n$. Thus for $k ge n$, every $n times n$ matrix $A$ satisfies



          $textrank(A) le n le k. tag 1$






          share|cite|improve this answer













          An $n times n$ matrix has $n$ rows and $n$ columns. The rank of a matrix is the number of linearly independent rows or columns (row rank and column rank being the same). The greatest possible number of linearly independent vectors out of a set of $n$ vectors is obviously $n$. Thus for $k ge n$, every $n times n$ matrix $A$ satisfies



          $textrank(A) le n le k. tag 1$







          share|cite|improve this answer













          share|cite|improve this answer



          share|cite|improve this answer











          answered Jul 22 at 16:31









          Robert Lewis

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              Every $n times n$ matrix has rank at most $n$.






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                up vote
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                Every $n times n$ matrix has rank at most $n$.






                share|cite|improve this answer























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                  up vote
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                  Every $n times n$ matrix has rank at most $n$.






                  share|cite|improve this answer













                  Every $n times n$ matrix has rank at most $n$.







                  share|cite|improve this answer













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                  share|cite|improve this answer











                  answered Jul 22 at 16:26









                  Hurkyl

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