Is not full rank matrix invertible?












4












$begingroup$


Problem



$A$ is a $4 times 4$ matrix. It is known that $text{rank}(A)=3$. Is matrix A invertible ?



Attempt to solve



$text{rank(A)}=3 implies det(A)=0$
which implies matrix is $textbf{not}$ invertible. One dimension is lost during linear transformation if matrix is not full rank by definition. This implies determinant will be $0$ and that some information is lost in this linear transformation.



Is my intuition behind this correct ?










share|cite|improve this question











$endgroup$












  • $begingroup$
    Yes, you can even cut the lines regarding the determinant of A, and all of the rest of it still holds together.
    $endgroup$
    – Doug M
    Dec 14 '18 at 16:14
















4












$begingroup$


Problem



$A$ is a $4 times 4$ matrix. It is known that $text{rank}(A)=3$. Is matrix A invertible ?



Attempt to solve



$text{rank(A)}=3 implies det(A)=0$
which implies matrix is $textbf{not}$ invertible. One dimension is lost during linear transformation if matrix is not full rank by definition. This implies determinant will be $0$ and that some information is lost in this linear transformation.



Is my intuition behind this correct ?










share|cite|improve this question











$endgroup$












  • $begingroup$
    Yes, you can even cut the lines regarding the determinant of A, and all of the rest of it still holds together.
    $endgroup$
    – Doug M
    Dec 14 '18 at 16:14














4












4








4





$begingroup$


Problem



$A$ is a $4 times 4$ matrix. It is known that $text{rank}(A)=3$. Is matrix A invertible ?



Attempt to solve



$text{rank(A)}=3 implies det(A)=0$
which implies matrix is $textbf{not}$ invertible. One dimension is lost during linear transformation if matrix is not full rank by definition. This implies determinant will be $0$ and that some information is lost in this linear transformation.



Is my intuition behind this correct ?










share|cite|improve this question











$endgroup$




Problem



$A$ is a $4 times 4$ matrix. It is known that $text{rank}(A)=3$. Is matrix A invertible ?



Attempt to solve



$text{rank(A)}=3 implies det(A)=0$
which implies matrix is $textbf{not}$ invertible. One dimension is lost during linear transformation if matrix is not full rank by definition. This implies determinant will be $0$ and that some information is lost in this linear transformation.



Is my intuition behind this correct ?







linear-algebra matrices linear-transformations determinant matrix-rank






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edited Dec 14 '18 at 21:47









Mostafa Ayaz

15.7k3939




15.7k3939










asked Dec 14 '18 at 16:12









TukiTuki

1,019416




1,019416












  • $begingroup$
    Yes, you can even cut the lines regarding the determinant of A, and all of the rest of it still holds together.
    $endgroup$
    – Doug M
    Dec 14 '18 at 16:14


















  • $begingroup$
    Yes, you can even cut the lines regarding the determinant of A, and all of the rest of it still holds together.
    $endgroup$
    – Doug M
    Dec 14 '18 at 16:14
















$begingroup$
Yes, you can even cut the lines regarding the determinant of A, and all of the rest of it still holds together.
$endgroup$
– Doug M
Dec 14 '18 at 16:14




$begingroup$
Yes, you can even cut the lines regarding the determinant of A, and all of the rest of it still holds together.
$endgroup$
– Doug M
Dec 14 '18 at 16:14










4 Answers
4






active

oldest

votes


















3












$begingroup$

This is exactly right. You're better off mentioning the rank-nullity theorem: for a linear map $f:U to V$ we have $$mbox{rank}+mbox{nullity} = dim U$$
where the nullity is the dimension of the kernel, $ker f$.



A four-by-four matrix represents a linear map $f: U to V$ where $dim U = dim V = 4$. If the rank is three then $3+mbox{nullity}=4$, i.e. there is a one-dimensional kernel. That means the map is not injective and has no inverse.






share|cite|improve this answer











$endgroup$





















    2












    $begingroup$

    Your intuition seems fine. How you arrive at that conclusion depends on what properties you have seen, and/or which ones you are allowed to use.



    The following properties are equivalent for a square matrix $A$:





    • $A$ has full rank


    • $A$ is invertible

    • the determinant of $A$ is non-zero


    There are more, but the first two are sufficient to immediately draw the desired conclusion.






    share|cite|improve this answer









    $endgroup$





















      2












      $begingroup$

      $rank(A) = 3 Rightarrow det(A) = 0$
      needs to be proven, it is right though.
      basically, you can say that:
      $rank(A) < dim(A) Rightarrow det(A) = 0$
      but it still needs to be proven.
      an easy way to prove it is by showing that you will get a row of zeroes when trying to use raw reduction.






      share|cite|improve this answer









      $endgroup$





















        2












        $begingroup$

        If $A$ and $B$ are matrices for which $AB$ makes sense, then
        $$
        operatorname{rank}(AB)lemin{operatorname{rank}(A),operatorname{rank}(B)}
        $$

        In particular, for every $B$, $operatorname{rank}(AB)leoperatorname{rank}(A)=3$. Can now $AB=I$?






        share|cite|improve this answer









        $endgroup$













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          4 Answers
          4






          active

          oldest

          votes








          4 Answers
          4






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          3












          $begingroup$

          This is exactly right. You're better off mentioning the rank-nullity theorem: for a linear map $f:U to V$ we have $$mbox{rank}+mbox{nullity} = dim U$$
          where the nullity is the dimension of the kernel, $ker f$.



          A four-by-four matrix represents a linear map $f: U to V$ where $dim U = dim V = 4$. If the rank is three then $3+mbox{nullity}=4$, i.e. there is a one-dimensional kernel. That means the map is not injective and has no inverse.






          share|cite|improve this answer











          $endgroup$


















            3












            $begingroup$

            This is exactly right. You're better off mentioning the rank-nullity theorem: for a linear map $f:U to V$ we have $$mbox{rank}+mbox{nullity} = dim U$$
            where the nullity is the dimension of the kernel, $ker f$.



            A four-by-four matrix represents a linear map $f: U to V$ where $dim U = dim V = 4$. If the rank is three then $3+mbox{nullity}=4$, i.e. there is a one-dimensional kernel. That means the map is not injective and has no inverse.






            share|cite|improve this answer











            $endgroup$
















              3












              3








              3





              $begingroup$

              This is exactly right. You're better off mentioning the rank-nullity theorem: for a linear map $f:U to V$ we have $$mbox{rank}+mbox{nullity} = dim U$$
              where the nullity is the dimension of the kernel, $ker f$.



              A four-by-four matrix represents a linear map $f: U to V$ where $dim U = dim V = 4$. If the rank is three then $3+mbox{nullity}=4$, i.e. there is a one-dimensional kernel. That means the map is not injective and has no inverse.






              share|cite|improve this answer











              $endgroup$



              This is exactly right. You're better off mentioning the rank-nullity theorem: for a linear map $f:U to V$ we have $$mbox{rank}+mbox{nullity} = dim U$$
              where the nullity is the dimension of the kernel, $ker f$.



              A four-by-four matrix represents a linear map $f: U to V$ where $dim U = dim V = 4$. If the rank is three then $3+mbox{nullity}=4$, i.e. there is a one-dimensional kernel. That means the map is not injective and has no inverse.







              share|cite|improve this answer














              share|cite|improve this answer



              share|cite|improve this answer








              edited Dec 17 '18 at 19:30

























              answered Dec 14 '18 at 16:47









              Fly by NightFly by Night

              26k32978




              26k32978























                  2












                  $begingroup$

                  Your intuition seems fine. How you arrive at that conclusion depends on what properties you have seen, and/or which ones you are allowed to use.



                  The following properties are equivalent for a square matrix $A$:





                  • $A$ has full rank


                  • $A$ is invertible

                  • the determinant of $A$ is non-zero


                  There are more, but the first two are sufficient to immediately draw the desired conclusion.






                  share|cite|improve this answer









                  $endgroup$


















                    2












                    $begingroup$

                    Your intuition seems fine. How you arrive at that conclusion depends on what properties you have seen, and/or which ones you are allowed to use.



                    The following properties are equivalent for a square matrix $A$:





                    • $A$ has full rank


                    • $A$ is invertible

                    • the determinant of $A$ is non-zero


                    There are more, but the first two are sufficient to immediately draw the desired conclusion.






                    share|cite|improve this answer









                    $endgroup$
















                      2












                      2








                      2





                      $begingroup$

                      Your intuition seems fine. How you arrive at that conclusion depends on what properties you have seen, and/or which ones you are allowed to use.



                      The following properties are equivalent for a square matrix $A$:





                      • $A$ has full rank


                      • $A$ is invertible

                      • the determinant of $A$ is non-zero


                      There are more, but the first two are sufficient to immediately draw the desired conclusion.






                      share|cite|improve this answer









                      $endgroup$



                      Your intuition seems fine. How you arrive at that conclusion depends on what properties you have seen, and/or which ones you are allowed to use.



                      The following properties are equivalent for a square matrix $A$:





                      • $A$ has full rank


                      • $A$ is invertible

                      • the determinant of $A$ is non-zero


                      There are more, but the first two are sufficient to immediately draw the desired conclusion.







                      share|cite|improve this answer












                      share|cite|improve this answer



                      share|cite|improve this answer










                      answered Dec 14 '18 at 16:15









                      StackTDStackTD

                      23.2k2153




                      23.2k2153























                          2












                          $begingroup$

                          $rank(A) = 3 Rightarrow det(A) = 0$
                          needs to be proven, it is right though.
                          basically, you can say that:
                          $rank(A) < dim(A) Rightarrow det(A) = 0$
                          but it still needs to be proven.
                          an easy way to prove it is by showing that you will get a row of zeroes when trying to use raw reduction.






                          share|cite|improve this answer









                          $endgroup$


















                            2












                            $begingroup$

                            $rank(A) = 3 Rightarrow det(A) = 0$
                            needs to be proven, it is right though.
                            basically, you can say that:
                            $rank(A) < dim(A) Rightarrow det(A) = 0$
                            but it still needs to be proven.
                            an easy way to prove it is by showing that you will get a row of zeroes when trying to use raw reduction.






                            share|cite|improve this answer









                            $endgroup$
















                              2












                              2








                              2





                              $begingroup$

                              $rank(A) = 3 Rightarrow det(A) = 0$
                              needs to be proven, it is right though.
                              basically, you can say that:
                              $rank(A) < dim(A) Rightarrow det(A) = 0$
                              but it still needs to be proven.
                              an easy way to prove it is by showing that you will get a row of zeroes when trying to use raw reduction.






                              share|cite|improve this answer









                              $endgroup$



                              $rank(A) = 3 Rightarrow det(A) = 0$
                              needs to be proven, it is right though.
                              basically, you can say that:
                              $rank(A) < dim(A) Rightarrow det(A) = 0$
                              but it still needs to be proven.
                              an easy way to prove it is by showing that you will get a row of zeroes when trying to use raw reduction.







                              share|cite|improve this answer












                              share|cite|improve this answer



                              share|cite|improve this answer










                              answered Dec 14 '18 at 16:19









                              matan anavimatan anavi

                              213




                              213























                                  2












                                  $begingroup$

                                  If $A$ and $B$ are matrices for which $AB$ makes sense, then
                                  $$
                                  operatorname{rank}(AB)lemin{operatorname{rank}(A),operatorname{rank}(B)}
                                  $$

                                  In particular, for every $B$, $operatorname{rank}(AB)leoperatorname{rank}(A)=3$. Can now $AB=I$?






                                  share|cite|improve this answer









                                  $endgroup$


















                                    2












                                    $begingroup$

                                    If $A$ and $B$ are matrices for which $AB$ makes sense, then
                                    $$
                                    operatorname{rank}(AB)lemin{operatorname{rank}(A),operatorname{rank}(B)}
                                    $$

                                    In particular, for every $B$, $operatorname{rank}(AB)leoperatorname{rank}(A)=3$. Can now $AB=I$?






                                    share|cite|improve this answer









                                    $endgroup$
















                                      2












                                      2








                                      2





                                      $begingroup$

                                      If $A$ and $B$ are matrices for which $AB$ makes sense, then
                                      $$
                                      operatorname{rank}(AB)lemin{operatorname{rank}(A),operatorname{rank}(B)}
                                      $$

                                      In particular, for every $B$, $operatorname{rank}(AB)leoperatorname{rank}(A)=3$. Can now $AB=I$?






                                      share|cite|improve this answer









                                      $endgroup$



                                      If $A$ and $B$ are matrices for which $AB$ makes sense, then
                                      $$
                                      operatorname{rank}(AB)lemin{operatorname{rank}(A),operatorname{rank}(B)}
                                      $$

                                      In particular, for every $B$, $operatorname{rank}(AB)leoperatorname{rank}(A)=3$. Can now $AB=I$?







                                      share|cite|improve this answer












                                      share|cite|improve this answer



                                      share|cite|improve this answer










                                      answered Dec 14 '18 at 17:08









                                      egregegreg

                                      183k1486205




                                      183k1486205






























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