Det of matrix $4times 4$ [duplicate]

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  • Can we use Sarrus' method for finding the determinant of matrix greater than $3times3$?

    1 answer



Is the method of calculating determinant of $3times 3$ matrix by diagonals,
apply also on $4times 4$ matrix?



for example:



$$beginmatrix2&2&1&3|\1&4&4&5|\5&1&1&6|\7&1&4&5|endmatrixbeginmatrix2&2&1\1&4&4\5&1&1\7&1&4endmatrix$$



$det = 2cdot4cdot1cdot5+dotsb+3cdot1cdot1cdot4 - 7cdot1cdot4cdot3-dotsb-5cdot5cdot4cdot1 = 171$



Is this valid?







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marked as duplicate by Hans Lundmark, Adrian Keister, Leucippus, amWhy, Xander Henderson Aug 2 at 1:06


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  • Welcome to Maths SX! I don't understand what your ‘method’ is, nor what the matrix is?
    – Bernard
    Aug 1 at 15:21















up vote
0
down vote

favorite













This question already has an answer here:



  • Can we use Sarrus' method for finding the determinant of matrix greater than $3times3$?

    1 answer



Is the method of calculating determinant of $3times 3$ matrix by diagonals,
apply also on $4times 4$ matrix?



for example:



$$beginmatrix2&2&1&3|\1&4&4&5|\5&1&1&6|\7&1&4&5|endmatrixbeginmatrix2&2&1\1&4&4\5&1&1\7&1&4endmatrix$$



$det = 2cdot4cdot1cdot5+dotsb+3cdot1cdot1cdot4 - 7cdot1cdot4cdot3-dotsb-5cdot5cdot4cdot1 = 171$



Is this valid?







share|cite|improve this question













marked as duplicate by Hans Lundmark, Adrian Keister, Leucippus, amWhy, Xander Henderson Aug 2 at 1:06


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.














  • Welcome to Maths SX! I don't understand what your ‘method’ is, nor what the matrix is?
    – Bernard
    Aug 1 at 15:21













up vote
0
down vote

favorite









up vote
0
down vote

favorite












This question already has an answer here:



  • Can we use Sarrus' method for finding the determinant of matrix greater than $3times3$?

    1 answer



Is the method of calculating determinant of $3times 3$ matrix by diagonals,
apply also on $4times 4$ matrix?



for example:



$$beginmatrix2&2&1&3|\1&4&4&5|\5&1&1&6|\7&1&4&5|endmatrixbeginmatrix2&2&1\1&4&4\5&1&1\7&1&4endmatrix$$



$det = 2cdot4cdot1cdot5+dotsb+3cdot1cdot1cdot4 - 7cdot1cdot4cdot3-dotsb-5cdot5cdot4cdot1 = 171$



Is this valid?







share|cite|improve this question














This question already has an answer here:



  • Can we use Sarrus' method for finding the determinant of matrix greater than $3times3$?

    1 answer



Is the method of calculating determinant of $3times 3$ matrix by diagonals,
apply also on $4times 4$ matrix?



for example:



$$beginmatrix2&2&1&3|\1&4&4&5|\5&1&1&6|\7&1&4&5|endmatrixbeginmatrix2&2&1\1&4&4\5&1&1\7&1&4endmatrix$$



$det = 2cdot4cdot1cdot5+dotsb+3cdot1cdot1cdot4 - 7cdot1cdot4cdot3-dotsb-5cdot5cdot4cdot1 = 171$



Is this valid?





This question already has an answer here:



  • Can we use Sarrus' method for finding the determinant of matrix greater than $3times3$?

    1 answer









share|cite|improve this question












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edited Aug 1 at 15:40









Daniel Buck

2,2641623




2,2641623









asked Aug 1 at 15:17









Naor Yehuda

1




1




marked as duplicate by Hans Lundmark, Adrian Keister, Leucippus, amWhy, Xander Henderson Aug 2 at 1:06


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.






marked as duplicate by Hans Lundmark, Adrian Keister, Leucippus, amWhy, Xander Henderson Aug 2 at 1:06


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.













  • Welcome to Maths SX! I don't understand what your ‘method’ is, nor what the matrix is?
    – Bernard
    Aug 1 at 15:21

















  • Welcome to Maths SX! I don't understand what your ‘method’ is, nor what the matrix is?
    – Bernard
    Aug 1 at 15:21
















Welcome to Maths SX! I don't understand what your ‘method’ is, nor what the matrix is?
– Bernard
Aug 1 at 15:21





Welcome to Maths SX! I don't understand what your ‘method’ is, nor what the matrix is?
– Bernard
Aug 1 at 15:21











4 Answers
4






active

oldest

votes

















up vote
2
down vote













No the Rule of Sarrus is only valid for 3-by -3 matrices, in general for n-by -n matrices we can refer to Laplace expansion method, that is by the first row



$$beginvmatrix
2& 2& 1& 3\
1& 4& 4& 5\
5& 1& 1& 6\
7& 1& 4& 5
endvmatrix=2beginvmatrix
4& 4& 5\
1& 1& 6\
1& 4& 5
endvmatrix-2beginvmatrix
1& 4& 5\
5& 1& 6\
7& 4& 5
endvmatrix+1beginvmatrix
1& 4& 5\
5& 1& 6\
7& 1& 5
endvmatrix-3beginvmatrix
1& 4& 4 \
5& 1& 1 \
7& 1& 4
endvmatrix$$






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    No, it is not valid. My computation using Octave shows that the determinant is negative.



    octave:1> A = [ 2 2 1 3; 1 4 4 5; 5 1 1 6; 7 1 4 5]
    A =

    2 2 1 3
    1 4 4 5
    5 1 1 6
    7 1 4 5

    octave:2> det(A)
    ans = -114.00





    share|cite|improve this answer




























      up vote
      1
      down vote













      The fastest method is Gaussian elimination to obtain a triangular matrix – in this case the determinant is the product of the diagonal elements:
      beginalign
      &beginvmatrix
      2&2&1&3\1&4&4&5\5&1&1&6\7&1&4&5
      endvmatrix
      =-beginvmatrix
      1&4&4&5\2&2&1&3\5&1&1&6\7&1&4&5
      endvmatrix
      =-beginvmatrixbeginarrayrrrr
      1&4&4&5\0&-6&-7&-7\0&-19&-19&-19\0&-27&-24&-30
      endarrayendvmatrix=19times 3beginvmatrixbeginarrayrrrr
      1&4&4&5\0&6&7&7\0&1&1&1\0&9&8&10
      endarrayendvmatrix\[1ex]
      =&-19times 3beginvmatrixbeginarrayrrrr
      1&4&4&5\0&1&1&1\0&6&7&7\0&9&8&10
      endarrayendvmatrix=-19times 3beginvmatrixbeginarrayrrrr
      1&4&4&5\0&1&1&1\0&0&1&1\0&0&-1&1
      endarrayendvmatrix
      =-19times 3beginvmatrix
      1&4&4&5\0&1&1&1\0&0&1&1\0&0&0&2
      endvmatrix=-114\
      &
      endalign



      However, in the case of $4times4$ matrices, you have two other possibilities, for a computation by blocks:



      • If $M=beginpmatrixA&B\C&D endpmatrix$ is a $4×4$ matrix consisting of blocks of size $2$, and if $CD=DC$, then we can compute a $2×2$ determinant:
        $$det M=det(AD-BC).$$

      • We can use Laplace's expansion along the first two columns. To explain the computation, we introduce some notations:

      beginarrayll
      p_ij&textis the $2×2$ determinant of rows $i$ and $j$ of the first two columns,\
      q_ij&textis the $2×2$ determinant of rows $i$ and $j$ of the last two columns.
      endarray
      With these notations, one has
      $$det M=p_12q_34+p_13q_42+p_14q_23+q_12p_34+q_13p_42+q_14p_23.$$






      share|cite|improve this answer




























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        down vote













        No, it isn't valid. When you calculate the determinant of an $ntimes n$ matrix by minors, you compute $n!$ products. When $n=3, n!=6$ and there are $6$ broken diagonals, and the "spaghetti rule" still involves $6$ products. But when $n=4, n!=24,$ and there are only $8$ broken diagonals, so there isn't much hope.



        You can easily come up with examples to prove it doesn't work. (In fact, I imagine it's harder to come up with examples where it does work.)






        share|cite|improve this answer






























          4 Answers
          4






          active

          oldest

          votes








          4 Answers
          4






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          2
          down vote













          No the Rule of Sarrus is only valid for 3-by -3 matrices, in general for n-by -n matrices we can refer to Laplace expansion method, that is by the first row



          $$beginvmatrix
          2& 2& 1& 3\
          1& 4& 4& 5\
          5& 1& 1& 6\
          7& 1& 4& 5
          endvmatrix=2beginvmatrix
          4& 4& 5\
          1& 1& 6\
          1& 4& 5
          endvmatrix-2beginvmatrix
          1& 4& 5\
          5& 1& 6\
          7& 4& 5
          endvmatrix+1beginvmatrix
          1& 4& 5\
          5& 1& 6\
          7& 1& 5
          endvmatrix-3beginvmatrix
          1& 4& 4 \
          5& 1& 1 \
          7& 1& 4
          endvmatrix$$






          share|cite|improve this answer



























            up vote
            2
            down vote













            No the Rule of Sarrus is only valid for 3-by -3 matrices, in general for n-by -n matrices we can refer to Laplace expansion method, that is by the first row



            $$beginvmatrix
            2& 2& 1& 3\
            1& 4& 4& 5\
            5& 1& 1& 6\
            7& 1& 4& 5
            endvmatrix=2beginvmatrix
            4& 4& 5\
            1& 1& 6\
            1& 4& 5
            endvmatrix-2beginvmatrix
            1& 4& 5\
            5& 1& 6\
            7& 4& 5
            endvmatrix+1beginvmatrix
            1& 4& 5\
            5& 1& 6\
            7& 1& 5
            endvmatrix-3beginvmatrix
            1& 4& 4 \
            5& 1& 1 \
            7& 1& 4
            endvmatrix$$






            share|cite|improve this answer

























              up vote
              2
              down vote










              up vote
              2
              down vote









              No the Rule of Sarrus is only valid for 3-by -3 matrices, in general for n-by -n matrices we can refer to Laplace expansion method, that is by the first row



              $$beginvmatrix
              2& 2& 1& 3\
              1& 4& 4& 5\
              5& 1& 1& 6\
              7& 1& 4& 5
              endvmatrix=2beginvmatrix
              4& 4& 5\
              1& 1& 6\
              1& 4& 5
              endvmatrix-2beginvmatrix
              1& 4& 5\
              5& 1& 6\
              7& 4& 5
              endvmatrix+1beginvmatrix
              1& 4& 5\
              5& 1& 6\
              7& 1& 5
              endvmatrix-3beginvmatrix
              1& 4& 4 \
              5& 1& 1 \
              7& 1& 4
              endvmatrix$$






              share|cite|improve this answer















              No the Rule of Sarrus is only valid for 3-by -3 matrices, in general for n-by -n matrices we can refer to Laplace expansion method, that is by the first row



              $$beginvmatrix
              2& 2& 1& 3\
              1& 4& 4& 5\
              5& 1& 1& 6\
              7& 1& 4& 5
              endvmatrix=2beginvmatrix
              4& 4& 5\
              1& 1& 6\
              1& 4& 5
              endvmatrix-2beginvmatrix
              1& 4& 5\
              5& 1& 6\
              7& 4& 5
              endvmatrix+1beginvmatrix
              1& 4& 5\
              5& 1& 6\
              7& 1& 5
              endvmatrix-3beginvmatrix
              1& 4& 4 \
              5& 1& 1 \
              7& 1& 4
              endvmatrix$$







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              edited Aug 1 at 15:29


























              answered Aug 1 at 15:20









              gimusi

              63.9k73480




              63.9k73480




















                  up vote
                  1
                  down vote













                  No, it is not valid. My computation using Octave shows that the determinant is negative.



                  octave:1> A = [ 2 2 1 3; 1 4 4 5; 5 1 1 6; 7 1 4 5]
                  A =

                  2 2 1 3
                  1 4 4 5
                  5 1 1 6
                  7 1 4 5

                  octave:2> det(A)
                  ans = -114.00





                  share|cite|improve this answer

























                    up vote
                    1
                    down vote













                    No, it is not valid. My computation using Octave shows that the determinant is negative.



                    octave:1> A = [ 2 2 1 3; 1 4 4 5; 5 1 1 6; 7 1 4 5]
                    A =

                    2 2 1 3
                    1 4 4 5
                    5 1 1 6
                    7 1 4 5

                    octave:2> det(A)
                    ans = -114.00





                    share|cite|improve this answer























                      up vote
                      1
                      down vote










                      up vote
                      1
                      down vote









                      No, it is not valid. My computation using Octave shows that the determinant is negative.



                      octave:1> A = [ 2 2 1 3; 1 4 4 5; 5 1 1 6; 7 1 4 5]
                      A =

                      2 2 1 3
                      1 4 4 5
                      5 1 1 6
                      7 1 4 5

                      octave:2> det(A)
                      ans = -114.00





                      share|cite|improve this answer













                      No, it is not valid. My computation using Octave shows that the determinant is negative.



                      octave:1> A = [ 2 2 1 3; 1 4 4 5; 5 1 1 6; 7 1 4 5]
                      A =

                      2 2 1 3
                      1 4 4 5
                      5 1 1 6
                      7 1 4 5

                      octave:2> det(A)
                      ans = -114.00






                      share|cite|improve this answer













                      share|cite|improve this answer



                      share|cite|improve this answer











                      answered Aug 1 at 15:24









                      Siong Thye Goh

                      76.7k134794




                      76.7k134794




















                          up vote
                          1
                          down vote













                          The fastest method is Gaussian elimination to obtain a triangular matrix – in this case the determinant is the product of the diagonal elements:
                          beginalign
                          &beginvmatrix
                          2&2&1&3\1&4&4&5\5&1&1&6\7&1&4&5
                          endvmatrix
                          =-beginvmatrix
                          1&4&4&5\2&2&1&3\5&1&1&6\7&1&4&5
                          endvmatrix
                          =-beginvmatrixbeginarrayrrrr
                          1&4&4&5\0&-6&-7&-7\0&-19&-19&-19\0&-27&-24&-30
                          endarrayendvmatrix=19times 3beginvmatrixbeginarrayrrrr
                          1&4&4&5\0&6&7&7\0&1&1&1\0&9&8&10
                          endarrayendvmatrix\[1ex]
                          =&-19times 3beginvmatrixbeginarrayrrrr
                          1&4&4&5\0&1&1&1\0&6&7&7\0&9&8&10
                          endarrayendvmatrix=-19times 3beginvmatrixbeginarrayrrrr
                          1&4&4&5\0&1&1&1\0&0&1&1\0&0&-1&1
                          endarrayendvmatrix
                          =-19times 3beginvmatrix
                          1&4&4&5\0&1&1&1\0&0&1&1\0&0&0&2
                          endvmatrix=-114\
                          &
                          endalign



                          However, in the case of $4times4$ matrices, you have two other possibilities, for a computation by blocks:



                          • If $M=beginpmatrixA&B\C&D endpmatrix$ is a $4×4$ matrix consisting of blocks of size $2$, and if $CD=DC$, then we can compute a $2×2$ determinant:
                            $$det M=det(AD-BC).$$

                          • We can use Laplace's expansion along the first two columns. To explain the computation, we introduce some notations:

                          beginarrayll
                          p_ij&textis the $2×2$ determinant of rows $i$ and $j$ of the first two columns,\
                          q_ij&textis the $2×2$ determinant of rows $i$ and $j$ of the last two columns.
                          endarray
                          With these notations, one has
                          $$det M=p_12q_34+p_13q_42+p_14q_23+q_12p_34+q_13p_42+q_14p_23.$$






                          share|cite|improve this answer

























                            up vote
                            1
                            down vote













                            The fastest method is Gaussian elimination to obtain a triangular matrix – in this case the determinant is the product of the diagonal elements:
                            beginalign
                            &beginvmatrix
                            2&2&1&3\1&4&4&5\5&1&1&6\7&1&4&5
                            endvmatrix
                            =-beginvmatrix
                            1&4&4&5\2&2&1&3\5&1&1&6\7&1&4&5
                            endvmatrix
                            =-beginvmatrixbeginarrayrrrr
                            1&4&4&5\0&-6&-7&-7\0&-19&-19&-19\0&-27&-24&-30
                            endarrayendvmatrix=19times 3beginvmatrixbeginarrayrrrr
                            1&4&4&5\0&6&7&7\0&1&1&1\0&9&8&10
                            endarrayendvmatrix\[1ex]
                            =&-19times 3beginvmatrixbeginarrayrrrr
                            1&4&4&5\0&1&1&1\0&6&7&7\0&9&8&10
                            endarrayendvmatrix=-19times 3beginvmatrixbeginarrayrrrr
                            1&4&4&5\0&1&1&1\0&0&1&1\0&0&-1&1
                            endarrayendvmatrix
                            =-19times 3beginvmatrix
                            1&4&4&5\0&1&1&1\0&0&1&1\0&0&0&2
                            endvmatrix=-114\
                            &
                            endalign



                            However, in the case of $4times4$ matrices, you have two other possibilities, for a computation by blocks:



                            • If $M=beginpmatrixA&B\C&D endpmatrix$ is a $4×4$ matrix consisting of blocks of size $2$, and if $CD=DC$, then we can compute a $2×2$ determinant:
                              $$det M=det(AD-BC).$$

                            • We can use Laplace's expansion along the first two columns. To explain the computation, we introduce some notations:

                            beginarrayll
                            p_ij&textis the $2×2$ determinant of rows $i$ and $j$ of the first two columns,\
                            q_ij&textis the $2×2$ determinant of rows $i$ and $j$ of the last two columns.
                            endarray
                            With these notations, one has
                            $$det M=p_12q_34+p_13q_42+p_14q_23+q_12p_34+q_13p_42+q_14p_23.$$






                            share|cite|improve this answer























                              up vote
                              1
                              down vote










                              up vote
                              1
                              down vote









                              The fastest method is Gaussian elimination to obtain a triangular matrix – in this case the determinant is the product of the diagonal elements:
                              beginalign
                              &beginvmatrix
                              2&2&1&3\1&4&4&5\5&1&1&6\7&1&4&5
                              endvmatrix
                              =-beginvmatrix
                              1&4&4&5\2&2&1&3\5&1&1&6\7&1&4&5
                              endvmatrix
                              =-beginvmatrixbeginarrayrrrr
                              1&4&4&5\0&-6&-7&-7\0&-19&-19&-19\0&-27&-24&-30
                              endarrayendvmatrix=19times 3beginvmatrixbeginarrayrrrr
                              1&4&4&5\0&6&7&7\0&1&1&1\0&9&8&10
                              endarrayendvmatrix\[1ex]
                              =&-19times 3beginvmatrixbeginarrayrrrr
                              1&4&4&5\0&1&1&1\0&6&7&7\0&9&8&10
                              endarrayendvmatrix=-19times 3beginvmatrixbeginarrayrrrr
                              1&4&4&5\0&1&1&1\0&0&1&1\0&0&-1&1
                              endarrayendvmatrix
                              =-19times 3beginvmatrix
                              1&4&4&5\0&1&1&1\0&0&1&1\0&0&0&2
                              endvmatrix=-114\
                              &
                              endalign



                              However, in the case of $4times4$ matrices, you have two other possibilities, for a computation by blocks:



                              • If $M=beginpmatrixA&B\C&D endpmatrix$ is a $4×4$ matrix consisting of blocks of size $2$, and if $CD=DC$, then we can compute a $2×2$ determinant:
                                $$det M=det(AD-BC).$$

                              • We can use Laplace's expansion along the first two columns. To explain the computation, we introduce some notations:

                              beginarrayll
                              p_ij&textis the $2×2$ determinant of rows $i$ and $j$ of the first two columns,\
                              q_ij&textis the $2×2$ determinant of rows $i$ and $j$ of the last two columns.
                              endarray
                              With these notations, one has
                              $$det M=p_12q_34+p_13q_42+p_14q_23+q_12p_34+q_13p_42+q_14p_23.$$






                              share|cite|improve this answer













                              The fastest method is Gaussian elimination to obtain a triangular matrix – in this case the determinant is the product of the diagonal elements:
                              beginalign
                              &beginvmatrix
                              2&2&1&3\1&4&4&5\5&1&1&6\7&1&4&5
                              endvmatrix
                              =-beginvmatrix
                              1&4&4&5\2&2&1&3\5&1&1&6\7&1&4&5
                              endvmatrix
                              =-beginvmatrixbeginarrayrrrr
                              1&4&4&5\0&-6&-7&-7\0&-19&-19&-19\0&-27&-24&-30
                              endarrayendvmatrix=19times 3beginvmatrixbeginarrayrrrr
                              1&4&4&5\0&6&7&7\0&1&1&1\0&9&8&10
                              endarrayendvmatrix\[1ex]
                              =&-19times 3beginvmatrixbeginarrayrrrr
                              1&4&4&5\0&1&1&1\0&6&7&7\0&9&8&10
                              endarrayendvmatrix=-19times 3beginvmatrixbeginarrayrrrr
                              1&4&4&5\0&1&1&1\0&0&1&1\0&0&-1&1
                              endarrayendvmatrix
                              =-19times 3beginvmatrix
                              1&4&4&5\0&1&1&1\0&0&1&1\0&0&0&2
                              endvmatrix=-114\
                              &
                              endalign



                              However, in the case of $4times4$ matrices, you have two other possibilities, for a computation by blocks:



                              • If $M=beginpmatrixA&B\C&D endpmatrix$ is a $4×4$ matrix consisting of blocks of size $2$, and if $CD=DC$, then we can compute a $2×2$ determinant:
                                $$det M=det(AD-BC).$$

                              • We can use Laplace's expansion along the first two columns. To explain the computation, we introduce some notations:

                              beginarrayll
                              p_ij&textis the $2×2$ determinant of rows $i$ and $j$ of the first two columns,\
                              q_ij&textis the $2×2$ determinant of rows $i$ and $j$ of the last two columns.
                              endarray
                              With these notations, one has
                              $$det M=p_12q_34+p_13q_42+p_14q_23+q_12p_34+q_13p_42+q_14p_23.$$







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                              answered Aug 1 at 16:45









                              Bernard

                              110k635102




                              110k635102




















                                  up vote
                                  0
                                  down vote













                                  No, it isn't valid. When you calculate the determinant of an $ntimes n$ matrix by minors, you compute $n!$ products. When $n=3, n!=6$ and there are $6$ broken diagonals, and the "spaghetti rule" still involves $6$ products. But when $n=4, n!=24,$ and there are only $8$ broken diagonals, so there isn't much hope.



                                  You can easily come up with examples to prove it doesn't work. (In fact, I imagine it's harder to come up with examples where it does work.)






                                  share|cite|improve this answer



























                                    up vote
                                    0
                                    down vote













                                    No, it isn't valid. When you calculate the determinant of an $ntimes n$ matrix by minors, you compute $n!$ products. When $n=3, n!=6$ and there are $6$ broken diagonals, and the "spaghetti rule" still involves $6$ products. But when $n=4, n!=24,$ and there are only $8$ broken diagonals, so there isn't much hope.



                                    You can easily come up with examples to prove it doesn't work. (In fact, I imagine it's harder to come up with examples where it does work.)






                                    share|cite|improve this answer

























                                      up vote
                                      0
                                      down vote










                                      up vote
                                      0
                                      down vote









                                      No, it isn't valid. When you calculate the determinant of an $ntimes n$ matrix by minors, you compute $n!$ products. When $n=3, n!=6$ and there are $6$ broken diagonals, and the "spaghetti rule" still involves $6$ products. But when $n=4, n!=24,$ and there are only $8$ broken diagonals, so there isn't much hope.



                                      You can easily come up with examples to prove it doesn't work. (In fact, I imagine it's harder to come up with examples where it does work.)






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                                      No, it isn't valid. When you calculate the determinant of an $ntimes n$ matrix by minors, you compute $n!$ products. When $n=3, n!=6$ and there are $6$ broken diagonals, and the "spaghetti rule" still involves $6$ products. But when $n=4, n!=24,$ and there are only $8$ broken diagonals, so there isn't much hope.



                                      You can easily come up with examples to prove it doesn't work. (In fact, I imagine it's harder to come up with examples where it does work.)







                                      share|cite|improve this answer















                                      share|cite|improve this answer



                                      share|cite|improve this answer








                                      edited Aug 1 at 15:34


























                                      answered Aug 1 at 15:26









                                      saulspatz

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