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?
manifolds knot-theory knot-invariants
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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?
manifolds knot-theory knot-invariants
add a comment |
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?
manifolds knot-theory knot-invariants
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?
manifolds knot-theory knot-invariants
manifolds knot-theory knot-invariants
asked Nov 10 at 18:29
Jake B.
1586
1586
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1 Answer
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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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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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 $a^2-ab+b^2$.
add a comment |
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 $a^2-ab+b^2$.
add a comment |
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 $a^2-ab+b^2$.
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 $a^2-ab+b^2$.
edited Nov 13 at 1:33
answered Nov 13 at 0:46
Kyle Miller
7,772827
7,772827
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