Alexander polynomial of a knot vs Alexander polynomial of a knot exterior.











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If I use SnapPy to compute the Alexander polynomial of the link in the picture, I get
$$t_1^2 - t_1 + 1$$
which is just the Alexander polynomail of the trefoil. But when I compute the Alexander polynomial of the knot exterior (the cusped 3-manifold),



L=Link([(1, 5, 2, 4), (3, 1, 4, 0), (7, 3, 0, 2), (5, 8, 6, 9), (9, 6, 8, 7)])
L.exterior().alexander_polynomial()


I get
$$a^2 - ab + b^2$$
Is there a good explanation why the polynomials are different?



The knot










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    up vote
    2
    down vote

    favorite












    If I use SnapPy to compute the Alexander polynomial of the link in the picture, I get
    $$t_1^2 - t_1 + 1$$
    which is just the Alexander polynomail of the trefoil. But when I compute the Alexander polynomial of the knot exterior (the cusped 3-manifold),



    L=Link([(1, 5, 2, 4), (3, 1, 4, 0), (7, 3, 0, 2), (5, 8, 6, 9), (9, 6, 8, 7)])
    L.exterior().alexander_polynomial()


    I get
    $$a^2 - ab + b^2$$
    Is there a good explanation why the polynomials are different?



    The knot










    share|cite|improve this question
























      up vote
      2
      down vote

      favorite









      up vote
      2
      down vote

      favorite











      If I use SnapPy to compute the Alexander polynomial of the link in the picture, I get
      $$t_1^2 - t_1 + 1$$
      which is just the Alexander polynomail of the trefoil. But when I compute the Alexander polynomial of the knot exterior (the cusped 3-manifold),



      L=Link([(1, 5, 2, 4), (3, 1, 4, 0), (7, 3, 0, 2), (5, 8, 6, 9), (9, 6, 8, 7)])
      L.exterior().alexander_polynomial()


      I get
      $$a^2 - ab + b^2$$
      Is there a good explanation why the polynomials are different?



      The knot










      share|cite|improve this question













      If I use SnapPy to compute the Alexander polynomial of the link in the picture, I get
      $$t_1^2 - t_1 + 1$$
      which is just the Alexander polynomail of the trefoil. But when I compute the Alexander polynomial of the knot exterior (the cusped 3-manifold),



      L=Link([(1, 5, 2, 4), (3, 1, 4, 0), (7, 3, 0, 2), (5, 8, 6, 9), (9, 6, 8, 7)])
      L.exterior().alexander_polynomial()


      I get
      $$a^2 - ab + b^2$$
      Is there a good explanation why the polynomials are different?



      The knot







      manifolds knot-theory knot-invariants






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      asked Nov 10 at 18:29









      Jake B.

      1586




      1586






















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          By a calculation through Fox calculus, the first elementary ideal of the presentation matrix for the infinite cyclic cover is $((1-t_1+t_1^2)(t_2-1),(1-t_1+t_1^2)(t_1-t_2))$, with $t_1$ corresponding to the trefoil and $t_2$ to the linked unknot. The GCD of this is the multivariable Alexander polynomial of a link, and this is $1-t_1+t_1^2$, matching the first output you say SnapPy produces. This presentation of the multivariable Alexander polynomial is special in that $t_1$ and $t_2$ are from the abelianizations of actual meridians.



          The way SnapPy calculates the Alexander polynomial of a Triangulation (the result of an exterior() of a Link) is to calculate the fundamental group and then going through the same Fox calculus computations I myself went through (see alexander_polynomial, alexander_polynomial_group, and alexander_polynomial_basic in python/snap/nsagetools.py). However, when it computes the map to the abelianization of the fundamental group of the exterior, there is no guarantee that the algorithm will figure out the meridians of the link (and in general it cannot do so for general links, versus the case for knots due to Gordon and Luecke). The variables are only up to some isomorphism of the abelianization.



          The substitution $t_1=ab^{-1}$ and $t_2=b$ defines an isomorphism between $mathbb{Z}[t_1^{pm 1},t_2^{pm 1}]$ and $mathbb{Z}[a^{pm 1},b^{pm 1}]$. This carries the multivariable Alexander polynomial to $b^{-2}(a^2-ab+b^2)$. Since it is only defined up to multiplication by units in the group ring of the abelianization, this is equivalent to $a^2-ab+b^2$.






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            up vote
            3
            down vote













            By a calculation through Fox calculus, the first elementary ideal of the presentation matrix for the infinite cyclic cover is $((1-t_1+t_1^2)(t_2-1),(1-t_1+t_1^2)(t_1-t_2))$, with $t_1$ corresponding to the trefoil and $t_2$ to the linked unknot. The GCD of this is the multivariable Alexander polynomial of a link, and this is $1-t_1+t_1^2$, matching the first output you say SnapPy produces. This presentation of the multivariable Alexander polynomial is special in that $t_1$ and $t_2$ are from the abelianizations of actual meridians.



            The way SnapPy calculates the Alexander polynomial of a Triangulation (the result of an exterior() of a Link) is to calculate the fundamental group and then going through the same Fox calculus computations I myself went through (see alexander_polynomial, alexander_polynomial_group, and alexander_polynomial_basic in python/snap/nsagetools.py). However, when it computes the map to the abelianization of the fundamental group of the exterior, there is no guarantee that the algorithm will figure out the meridians of the link (and in general it cannot do so for general links, versus the case for knots due to Gordon and Luecke). The variables are only up to some isomorphism of the abelianization.



            The substitution $t_1=ab^{-1}$ and $t_2=b$ defines an isomorphism between $mathbb{Z}[t_1^{pm 1},t_2^{pm 1}]$ and $mathbb{Z}[a^{pm 1},b^{pm 1}]$. This carries the multivariable Alexander polynomial to $b^{-2}(a^2-ab+b^2)$. Since it is only defined up to multiplication by units in the group ring of the abelianization, this is equivalent to $a^2-ab+b^2$.






            share|cite|improve this answer



























              up vote
              3
              down vote













              By a calculation through Fox calculus, the first elementary ideal of the presentation matrix for the infinite cyclic cover is $((1-t_1+t_1^2)(t_2-1),(1-t_1+t_1^2)(t_1-t_2))$, with $t_1$ corresponding to the trefoil and $t_2$ to the linked unknot. The GCD of this is the multivariable Alexander polynomial of a link, and this is $1-t_1+t_1^2$, matching the first output you say SnapPy produces. This presentation of the multivariable Alexander polynomial is special in that $t_1$ and $t_2$ are from the abelianizations of actual meridians.



              The way SnapPy calculates the Alexander polynomial of a Triangulation (the result of an exterior() of a Link) is to calculate the fundamental group and then going through the same Fox calculus computations I myself went through (see alexander_polynomial, alexander_polynomial_group, and alexander_polynomial_basic in python/snap/nsagetools.py). However, when it computes the map to the abelianization of the fundamental group of the exterior, there is no guarantee that the algorithm will figure out the meridians of the link (and in general it cannot do so for general links, versus the case for knots due to Gordon and Luecke). The variables are only up to some isomorphism of the abelianization.



              The substitution $t_1=ab^{-1}$ and $t_2=b$ defines an isomorphism between $mathbb{Z}[t_1^{pm 1},t_2^{pm 1}]$ and $mathbb{Z}[a^{pm 1},b^{pm 1}]$. This carries the multivariable Alexander polynomial to $b^{-2}(a^2-ab+b^2)$. Since it is only defined up to multiplication by units in the group ring of the abelianization, this is equivalent to $a^2-ab+b^2$.






              share|cite|improve this answer

























                up vote
                3
                down vote










                up vote
                3
                down vote









                By a calculation through Fox calculus, the first elementary ideal of the presentation matrix for the infinite cyclic cover is $((1-t_1+t_1^2)(t_2-1),(1-t_1+t_1^2)(t_1-t_2))$, with $t_1$ corresponding to the trefoil and $t_2$ to the linked unknot. The GCD of this is the multivariable Alexander polynomial of a link, and this is $1-t_1+t_1^2$, matching the first output you say SnapPy produces. This presentation of the multivariable Alexander polynomial is special in that $t_1$ and $t_2$ are from the abelianizations of actual meridians.



                The way SnapPy calculates the Alexander polynomial of a Triangulation (the result of an exterior() of a Link) is to calculate the fundamental group and then going through the same Fox calculus computations I myself went through (see alexander_polynomial, alexander_polynomial_group, and alexander_polynomial_basic in python/snap/nsagetools.py). However, when it computes the map to the abelianization of the fundamental group of the exterior, there is no guarantee that the algorithm will figure out the meridians of the link (and in general it cannot do so for general links, versus the case for knots due to Gordon and Luecke). The variables are only up to some isomorphism of the abelianization.



                The substitution $t_1=ab^{-1}$ and $t_2=b$ defines an isomorphism between $mathbb{Z}[t_1^{pm 1},t_2^{pm 1}]$ and $mathbb{Z}[a^{pm 1},b^{pm 1}]$. This carries the multivariable Alexander polynomial to $b^{-2}(a^2-ab+b^2)$. Since it is only defined up to multiplication by units in the group ring of the abelianization, this is equivalent to $a^2-ab+b^2$.






                share|cite|improve this answer














                By a calculation through Fox calculus, the first elementary ideal of the presentation matrix for the infinite cyclic cover is $((1-t_1+t_1^2)(t_2-1),(1-t_1+t_1^2)(t_1-t_2))$, with $t_1$ corresponding to the trefoil and $t_2$ to the linked unknot. The GCD of this is the multivariable Alexander polynomial of a link, and this is $1-t_1+t_1^2$, matching the first output you say SnapPy produces. This presentation of the multivariable Alexander polynomial is special in that $t_1$ and $t_2$ are from the abelianizations of actual meridians.



                The way SnapPy calculates the Alexander polynomial of a Triangulation (the result of an exterior() of a Link) is to calculate the fundamental group and then going through the same Fox calculus computations I myself went through (see alexander_polynomial, alexander_polynomial_group, and alexander_polynomial_basic in python/snap/nsagetools.py). However, when it computes the map to the abelianization of the fundamental group of the exterior, there is no guarantee that the algorithm will figure out the meridians of the link (and in general it cannot do so for general links, versus the case for knots due to Gordon and Luecke). The variables are only up to some isomorphism of the abelianization.



                The substitution $t_1=ab^{-1}$ and $t_2=b$ defines an isomorphism between $mathbb{Z}[t_1^{pm 1},t_2^{pm 1}]$ and $mathbb{Z}[a^{pm 1},b^{pm 1}]$. This carries the multivariable Alexander polynomial to $b^{-2}(a^2-ab+b^2)$. Since it is only defined up to multiplication by units in the group ring of the abelianization, this is equivalent to $a^2-ab+b^2$.







                share|cite|improve this answer














                share|cite|improve this answer



                share|cite|improve this answer








                edited Nov 13 at 1:33

























                answered Nov 13 at 0:46









                Kyle Miller

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