How to determine if a set of five $2times2$ matrices is independent

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$$S=biggleft[beginmatrix1&2\2&1endmatrixright], left[beginmatrix2&1\-1&2endmatrixright], left[beginmatrix0&1\1&2endmatrixright],left[beginmatrix1&0\1&1endmatrixright],
left[beginmatrix1&4\0&3endmatrixright]bigg$$



How can I determine if a set of five $2times2$ matrices are independent?







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  • 27




    They can't be, View them as length-4 vectors and conclude.
    – Parcly Taxel
    Jul 25 at 12:59














up vote
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$$S=biggleft[beginmatrix1&2\2&1endmatrixright], left[beginmatrix2&1\-1&2endmatrixright], left[beginmatrix0&1\1&2endmatrixright],left[beginmatrix1&0\1&1endmatrixright],
left[beginmatrix1&4\0&3endmatrixright]bigg$$



How can I determine if a set of five $2times2$ matrices are independent?







share|cite|improve this question

















  • 27




    They can't be, View them as length-4 vectors and conclude.
    – Parcly Taxel
    Jul 25 at 12:59












up vote
10
down vote

favorite
1









up vote
10
down vote

favorite
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1





$$S=biggleft[beginmatrix1&2\2&1endmatrixright], left[beginmatrix2&1\-1&2endmatrixright], left[beginmatrix0&1\1&2endmatrixright],left[beginmatrix1&0\1&1endmatrixright],
left[beginmatrix1&4\0&3endmatrixright]bigg$$



How can I determine if a set of five $2times2$ matrices are independent?







share|cite|improve this question













$$S=biggleft[beginmatrix1&2\2&1endmatrixright], left[beginmatrix2&1\-1&2endmatrixright], left[beginmatrix0&1\1&2endmatrixright],left[beginmatrix1&0\1&1endmatrixright],
left[beginmatrix1&4\0&3endmatrixright]bigg$$



How can I determine if a set of five $2times2$ matrices are independent?









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edited Jul 26 at 9:05









TheSimpliFire

9,60461851




9,60461851









asked Jul 25 at 12:58









Mi_11

544




544







  • 27




    They can't be, View them as length-4 vectors and conclude.
    – Parcly Taxel
    Jul 25 at 12:59












  • 27




    They can't be, View them as length-4 vectors and conclude.
    – Parcly Taxel
    Jul 25 at 12:59







27




27




They can't be, View them as length-4 vectors and conclude.
– Parcly Taxel
Jul 25 at 12:59




They can't be, View them as length-4 vectors and conclude.
– Parcly Taxel
Jul 25 at 12:59










4 Answers
4






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up vote
41
down vote













Since the space of all $2times2$ matrices is $4$-dimensional, every set of $5$ such matrices is linearly dependent.






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  • 3




    @Mi_11 consider accepting it as valid
    – Ander Biguri
    Jul 25 at 15:43

















up vote
6
down vote













As has been pointed out, four matrices form a basis for the $2times2$ matrices (the easiest would be
$$
left[beginmatrix1&0\0&0endmatrixright], left[beginmatrix0&1\0&0endmatrixright], left[beginmatrix0&0\1&0endmatrixright], left[beginmatrix0&0\0&1endmatrixright]
$$) so five matrices cannot be linearly dependent.



In your case the dependence is
$$
left[beginmatrix1&2\2&1endmatrixright] + left[beginmatrix2&1\-1&2endmatrixright] + left[beginmatrix0&1\1&2endmatrixright] - 2left[beginmatrix1&0\1&1endmatrixright] -
left[beginmatrix1&4\0&3endmatrixright] =
left[beginmatrix0&0\0&0endmatrixright].
$$






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    up vote
    2
    down vote













    As the others have said, this set of $5$ must be linearly dependent because the dimension of the space of all $2times 2$ matrices is $4$.



    More generally, how do you show that a set of vectors is linearly dependent or independent? Create a linear combination of the vectors, set it equal to $0$, and try to solve it.



    $$
    a_1X_1 + a_2X_2 + dotsb+ a_nX_n = 0
    $$
    If the only possible solution is $a_1 = a_2 = dotsb = a_n = 0$ then the set is independent. If a different solution exists then the set is dependent.






    share|cite|improve this answer






























      up vote
      0
      down vote













      Stretch out the matrices to complete the rows of the following matrix
      $$newcommandadjoperatornameadj
      M(v)=beginbmatrix
      v_1&1&2&2&1\
      v_2&2&1&-1&2\
      v_3&0&1&1&2\
      v_4&1&0&1&1\
      v_5&1&4&0&3
      endbmatrixtag1
      $$
      Note that the top row of the adjugate of $M(v)$
      $$
      beginbmatrix
      -14&-14&-14&28&14
      endbmatrixtag2
      $$
      is independent of $v$ because it consists of cofactors of the elements of the left column of $M(v)$. Let $u$ be the top row of $adj M(v)$. By Laplace's Formula,
      $$
      det M(v)=ucdot vtag3
      $$
      Setting $v$ to be any of the fixed columns of $M(v)$ gives $det M(v)=0$ because of duplicate columns. Thus, $u$ is perpendicular to all the fixed columns of $M(v)$.



      We can rewrite the dot product of $-frac114u$ with the fixed columns of $M(v)$ as
      $$
      1 overbracebeginbmatrix
      1&2\2&1
      endbmatrix^textrow $1$
      +
      1 overbracebeginbmatrix
      2&1\-1&2
      endbmatrix^textrow $2$
      +
      1 overbracebeginbmatrix
      0&1\1&2
      endbmatrix^textrow $3$
      -2 overbracebeginbmatrix
      1&0\1&1
      endbmatrix^textrow $4$
      -
      1 overbracebeginbmatrix
      1&4\0&3
      endbmatrix^textrow $5$
      =
      beginbmatrix
      0&0\0&0
      endbmatrixtag4
      $$






      share|cite|improve this answer























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        4 Answers
        4






        active

        oldest

        votes








        4 Answers
        4






        active

        oldest

        votes









        active

        oldest

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        active

        oldest

        votes








        up vote
        41
        down vote













        Since the space of all $2times2$ matrices is $4$-dimensional, every set of $5$ such matrices is linearly dependent.






        share|cite|improve this answer

















        • 3




          @Mi_11 consider accepting it as valid
          – Ander Biguri
          Jul 25 at 15:43














        up vote
        41
        down vote













        Since the space of all $2times2$ matrices is $4$-dimensional, every set of $5$ such matrices is linearly dependent.






        share|cite|improve this answer

















        • 3




          @Mi_11 consider accepting it as valid
          – Ander Biguri
          Jul 25 at 15:43












        up vote
        41
        down vote










        up vote
        41
        down vote









        Since the space of all $2times2$ matrices is $4$-dimensional, every set of $5$ such matrices is linearly dependent.






        share|cite|improve this answer













        Since the space of all $2times2$ matrices is $4$-dimensional, every set of $5$ such matrices is linearly dependent.







        share|cite|improve this answer













        share|cite|improve this answer



        share|cite|improve this answer











        answered Jul 25 at 13:00









        José Carlos Santos

        113k1697176




        113k1697176







        • 3




          @Mi_11 consider accepting it as valid
          – Ander Biguri
          Jul 25 at 15:43












        • 3




          @Mi_11 consider accepting it as valid
          – Ander Biguri
          Jul 25 at 15:43







        3




        3




        @Mi_11 consider accepting it as valid
        – Ander Biguri
        Jul 25 at 15:43




        @Mi_11 consider accepting it as valid
        – Ander Biguri
        Jul 25 at 15:43










        up vote
        6
        down vote













        As has been pointed out, four matrices form a basis for the $2times2$ matrices (the easiest would be
        $$
        left[beginmatrix1&0\0&0endmatrixright], left[beginmatrix0&1\0&0endmatrixright], left[beginmatrix0&0\1&0endmatrixright], left[beginmatrix0&0\0&1endmatrixright]
        $$) so five matrices cannot be linearly dependent.



        In your case the dependence is
        $$
        left[beginmatrix1&2\2&1endmatrixright] + left[beginmatrix2&1\-1&2endmatrixright] + left[beginmatrix0&1\1&2endmatrixright] - 2left[beginmatrix1&0\1&1endmatrixright] -
        left[beginmatrix1&4\0&3endmatrixright] =
        left[beginmatrix0&0\0&0endmatrixright].
        $$






        share|cite|improve this answer

























          up vote
          6
          down vote













          As has been pointed out, four matrices form a basis for the $2times2$ matrices (the easiest would be
          $$
          left[beginmatrix1&0\0&0endmatrixright], left[beginmatrix0&1\0&0endmatrixright], left[beginmatrix0&0\1&0endmatrixright], left[beginmatrix0&0\0&1endmatrixright]
          $$) so five matrices cannot be linearly dependent.



          In your case the dependence is
          $$
          left[beginmatrix1&2\2&1endmatrixright] + left[beginmatrix2&1\-1&2endmatrixright] + left[beginmatrix0&1\1&2endmatrixright] - 2left[beginmatrix1&0\1&1endmatrixright] -
          left[beginmatrix1&4\0&3endmatrixright] =
          left[beginmatrix0&0\0&0endmatrixright].
          $$






          share|cite|improve this answer























            up vote
            6
            down vote










            up vote
            6
            down vote









            As has been pointed out, four matrices form a basis for the $2times2$ matrices (the easiest would be
            $$
            left[beginmatrix1&0\0&0endmatrixright], left[beginmatrix0&1\0&0endmatrixright], left[beginmatrix0&0\1&0endmatrixright], left[beginmatrix0&0\0&1endmatrixright]
            $$) so five matrices cannot be linearly dependent.



            In your case the dependence is
            $$
            left[beginmatrix1&2\2&1endmatrixright] + left[beginmatrix2&1\-1&2endmatrixright] + left[beginmatrix0&1\1&2endmatrixright] - 2left[beginmatrix1&0\1&1endmatrixright] -
            left[beginmatrix1&4\0&3endmatrixright] =
            left[beginmatrix0&0\0&0endmatrixright].
            $$






            share|cite|improve this answer













            As has been pointed out, four matrices form a basis for the $2times2$ matrices (the easiest would be
            $$
            left[beginmatrix1&0\0&0endmatrixright], left[beginmatrix0&1\0&0endmatrixright], left[beginmatrix0&0\1&0endmatrixright], left[beginmatrix0&0\0&1endmatrixright]
            $$) so five matrices cannot be linearly dependent.



            In your case the dependence is
            $$
            left[beginmatrix1&2\2&1endmatrixright] + left[beginmatrix2&1\-1&2endmatrixright] + left[beginmatrix0&1\1&2endmatrixright] - 2left[beginmatrix1&0\1&1endmatrixright] -
            left[beginmatrix1&4\0&3endmatrixright] =
            left[beginmatrix0&0\0&0endmatrixright].
            $$







            share|cite|improve this answer













            share|cite|improve this answer



            share|cite|improve this answer











            answered Jul 25 at 15:11









            Charles

            23.3k448111




            23.3k448111




















                up vote
                2
                down vote













                As the others have said, this set of $5$ must be linearly dependent because the dimension of the space of all $2times 2$ matrices is $4$.



                More generally, how do you show that a set of vectors is linearly dependent or independent? Create a linear combination of the vectors, set it equal to $0$, and try to solve it.



                $$
                a_1X_1 + a_2X_2 + dotsb+ a_nX_n = 0
                $$
                If the only possible solution is $a_1 = a_2 = dotsb = a_n = 0$ then the set is independent. If a different solution exists then the set is dependent.






                share|cite|improve this answer



























                  up vote
                  2
                  down vote













                  As the others have said, this set of $5$ must be linearly dependent because the dimension of the space of all $2times 2$ matrices is $4$.



                  More generally, how do you show that a set of vectors is linearly dependent or independent? Create a linear combination of the vectors, set it equal to $0$, and try to solve it.



                  $$
                  a_1X_1 + a_2X_2 + dotsb+ a_nX_n = 0
                  $$
                  If the only possible solution is $a_1 = a_2 = dotsb = a_n = 0$ then the set is independent. If a different solution exists then the set is dependent.






                  share|cite|improve this answer

























                    up vote
                    2
                    down vote










                    up vote
                    2
                    down vote









                    As the others have said, this set of $5$ must be linearly dependent because the dimension of the space of all $2times 2$ matrices is $4$.



                    More generally, how do you show that a set of vectors is linearly dependent or independent? Create a linear combination of the vectors, set it equal to $0$, and try to solve it.



                    $$
                    a_1X_1 + a_2X_2 + dotsb+ a_nX_n = 0
                    $$
                    If the only possible solution is $a_1 = a_2 = dotsb = a_n = 0$ then the set is independent. If a different solution exists then the set is dependent.






                    share|cite|improve this answer















                    As the others have said, this set of $5$ must be linearly dependent because the dimension of the space of all $2times 2$ matrices is $4$.



                    More generally, how do you show that a set of vectors is linearly dependent or independent? Create a linear combination of the vectors, set it equal to $0$, and try to solve it.



                    $$
                    a_1X_1 + a_2X_2 + dotsb+ a_nX_n = 0
                    $$
                    If the only possible solution is $a_1 = a_2 = dotsb = a_n = 0$ then the set is independent. If a different solution exists then the set is dependent.







                    share|cite|improve this answer















                    share|cite|improve this answer



                    share|cite|improve this answer








                    edited Jul 25 at 21:23









                    Foobaz John

                    18k41245




                    18k41245











                    answered Jul 25 at 13:56









                    nurdyguy

                    1214




                    1214




















                        up vote
                        0
                        down vote













                        Stretch out the matrices to complete the rows of the following matrix
                        $$newcommandadjoperatornameadj
                        M(v)=beginbmatrix
                        v_1&1&2&2&1\
                        v_2&2&1&-1&2\
                        v_3&0&1&1&2\
                        v_4&1&0&1&1\
                        v_5&1&4&0&3
                        endbmatrixtag1
                        $$
                        Note that the top row of the adjugate of $M(v)$
                        $$
                        beginbmatrix
                        -14&-14&-14&28&14
                        endbmatrixtag2
                        $$
                        is independent of $v$ because it consists of cofactors of the elements of the left column of $M(v)$. Let $u$ be the top row of $adj M(v)$. By Laplace's Formula,
                        $$
                        det M(v)=ucdot vtag3
                        $$
                        Setting $v$ to be any of the fixed columns of $M(v)$ gives $det M(v)=0$ because of duplicate columns. Thus, $u$ is perpendicular to all the fixed columns of $M(v)$.



                        We can rewrite the dot product of $-frac114u$ with the fixed columns of $M(v)$ as
                        $$
                        1 overbracebeginbmatrix
                        1&2\2&1
                        endbmatrix^textrow $1$
                        +
                        1 overbracebeginbmatrix
                        2&1\-1&2
                        endbmatrix^textrow $2$
                        +
                        1 overbracebeginbmatrix
                        0&1\1&2
                        endbmatrix^textrow $3$
                        -2 overbracebeginbmatrix
                        1&0\1&1
                        endbmatrix^textrow $4$
                        -
                        1 overbracebeginbmatrix
                        1&4\0&3
                        endbmatrix^textrow $5$
                        =
                        beginbmatrix
                        0&0\0&0
                        endbmatrixtag4
                        $$






                        share|cite|improve this answer



























                          up vote
                          0
                          down vote













                          Stretch out the matrices to complete the rows of the following matrix
                          $$newcommandadjoperatornameadj
                          M(v)=beginbmatrix
                          v_1&1&2&2&1\
                          v_2&2&1&-1&2\
                          v_3&0&1&1&2\
                          v_4&1&0&1&1\
                          v_5&1&4&0&3
                          endbmatrixtag1
                          $$
                          Note that the top row of the adjugate of $M(v)$
                          $$
                          beginbmatrix
                          -14&-14&-14&28&14
                          endbmatrixtag2
                          $$
                          is independent of $v$ because it consists of cofactors of the elements of the left column of $M(v)$. Let $u$ be the top row of $adj M(v)$. By Laplace's Formula,
                          $$
                          det M(v)=ucdot vtag3
                          $$
                          Setting $v$ to be any of the fixed columns of $M(v)$ gives $det M(v)=0$ because of duplicate columns. Thus, $u$ is perpendicular to all the fixed columns of $M(v)$.



                          We can rewrite the dot product of $-frac114u$ with the fixed columns of $M(v)$ as
                          $$
                          1 overbracebeginbmatrix
                          1&2\2&1
                          endbmatrix^textrow $1$
                          +
                          1 overbracebeginbmatrix
                          2&1\-1&2
                          endbmatrix^textrow $2$
                          +
                          1 overbracebeginbmatrix
                          0&1\1&2
                          endbmatrix^textrow $3$
                          -2 overbracebeginbmatrix
                          1&0\1&1
                          endbmatrix^textrow $4$
                          -
                          1 overbracebeginbmatrix
                          1&4\0&3
                          endbmatrix^textrow $5$
                          =
                          beginbmatrix
                          0&0\0&0
                          endbmatrixtag4
                          $$






                          share|cite|improve this answer

























                            up vote
                            0
                            down vote










                            up vote
                            0
                            down vote









                            Stretch out the matrices to complete the rows of the following matrix
                            $$newcommandadjoperatornameadj
                            M(v)=beginbmatrix
                            v_1&1&2&2&1\
                            v_2&2&1&-1&2\
                            v_3&0&1&1&2\
                            v_4&1&0&1&1\
                            v_5&1&4&0&3
                            endbmatrixtag1
                            $$
                            Note that the top row of the adjugate of $M(v)$
                            $$
                            beginbmatrix
                            -14&-14&-14&28&14
                            endbmatrixtag2
                            $$
                            is independent of $v$ because it consists of cofactors of the elements of the left column of $M(v)$. Let $u$ be the top row of $adj M(v)$. By Laplace's Formula,
                            $$
                            det M(v)=ucdot vtag3
                            $$
                            Setting $v$ to be any of the fixed columns of $M(v)$ gives $det M(v)=0$ because of duplicate columns. Thus, $u$ is perpendicular to all the fixed columns of $M(v)$.



                            We can rewrite the dot product of $-frac114u$ with the fixed columns of $M(v)$ as
                            $$
                            1 overbracebeginbmatrix
                            1&2\2&1
                            endbmatrix^textrow $1$
                            +
                            1 overbracebeginbmatrix
                            2&1\-1&2
                            endbmatrix^textrow $2$
                            +
                            1 overbracebeginbmatrix
                            0&1\1&2
                            endbmatrix^textrow $3$
                            -2 overbracebeginbmatrix
                            1&0\1&1
                            endbmatrix^textrow $4$
                            -
                            1 overbracebeginbmatrix
                            1&4\0&3
                            endbmatrix^textrow $5$
                            =
                            beginbmatrix
                            0&0\0&0
                            endbmatrixtag4
                            $$






                            share|cite|improve this answer















                            Stretch out the matrices to complete the rows of the following matrix
                            $$newcommandadjoperatornameadj
                            M(v)=beginbmatrix
                            v_1&1&2&2&1\
                            v_2&2&1&-1&2\
                            v_3&0&1&1&2\
                            v_4&1&0&1&1\
                            v_5&1&4&0&3
                            endbmatrixtag1
                            $$
                            Note that the top row of the adjugate of $M(v)$
                            $$
                            beginbmatrix
                            -14&-14&-14&28&14
                            endbmatrixtag2
                            $$
                            is independent of $v$ because it consists of cofactors of the elements of the left column of $M(v)$. Let $u$ be the top row of $adj M(v)$. By Laplace's Formula,
                            $$
                            det M(v)=ucdot vtag3
                            $$
                            Setting $v$ to be any of the fixed columns of $M(v)$ gives $det M(v)=0$ because of duplicate columns. Thus, $u$ is perpendicular to all the fixed columns of $M(v)$.



                            We can rewrite the dot product of $-frac114u$ with the fixed columns of $M(v)$ as
                            $$
                            1 overbracebeginbmatrix
                            1&2\2&1
                            endbmatrix^textrow $1$
                            +
                            1 overbracebeginbmatrix
                            2&1\-1&2
                            endbmatrix^textrow $2$
                            +
                            1 overbracebeginbmatrix
                            0&1\1&2
                            endbmatrix^textrow $3$
                            -2 overbracebeginbmatrix
                            1&0\1&1
                            endbmatrix^textrow $4$
                            -
                            1 overbracebeginbmatrix
                            1&4\0&3
                            endbmatrix^textrow $5$
                            =
                            beginbmatrix
                            0&0\0&0
                            endbmatrixtag4
                            $$







                            share|cite|improve this answer















                            share|cite|improve this answer



                            share|cite|improve this answer








                            edited Jul 26 at 20:59


























                            answered Jul 26 at 20:50









                            robjohn♦

                            258k26297612




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