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Twistings and the Alexander polynomial

Daren Chen
Abstract.

We give an explicit formula of the Alexander polynomial of the link obtained by adding an arbitrary number of full twists to positively oriented parallel nn-strands in terms of the Alexander polynomials of the links obtained by adding 0,1,,n10,1,...,n-1 full twists. From this, we see that the Alexander polynomials stabilize after adding sufficiently many full twists. The main tool used in the computation is expressing the Alexander polynomial using the vector space representation of Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1)).

1. Introduction

In this paper we study the change in the Alexander polynomials of links under inserting full twists. More explicitly, suppose LL is an oriented link with some specific link diagram, such that some part of the link diagram consists of nn-parallel strands of the same orientation. Let \mathcal{L} denote this particular link diagram of LL with this choice of nn-parallel strands. Let m\mathcal{L}_{m} denote the link obtained from LL by inserting mm full twists along the nn-parallel strands and let 0=L\mathcal{L}_{0}=L. We obtain the following expression of the Alexander polynomial Δ(m)\Delta(\mathcal{L}_{m}) of m\mathcal{L}_{m} in terms of Δ(0),,Δ(n1)\Delta(\mathcal{L}_{0}),...,\Delta(\mathcal{L}_{n-1}).

Figure 1. A full twist along 33-parallel strands
Proposition 1.1.

For each m0m\geq 0, there exist some Laurent polynomials fm,j,n(t)f_{m,j,n}(t) which only depend on m,j,nm,j,n but not on the link LL, such that

Δ(m)=j=0n1fm,j,n(t)Δ(j).\Delta(\mathcal{L}_{m})=\sum_{j=0}^{n-1}f_{m,j,n}(t)\Delta(\mathcal{L}_{j}).

See Definitions 4.5 and 4.8 for the explicit definition of fm,j,n(t)f_{m,j,n}(t). By examining the definition of fm,j,n(t)f_{m,j,n}(t), we get the following stabilization result for the Alexander polynomial Δ(m)\Delta(\mathcal{L}_{m}) as mm\to\infty.

Proposition 1.2.

The Alexander polynomials Δ(m)\Delta(\mathcal{L}_{m}) stabilize as mm\to\infty in the following sense:

For each link diagram \mathcal{L} with a chosen part consisting of nn-parallel strands, there exists a Laurent series h(t)h_{\mathcal{L}}(t) with finitely many terms of negative degree in tt, and some integer r[n12,n1]r\in\left[\frac{n-1}{2},n-1\right], such that for any kk\in\mathbb{N}, there exists NN\in\mathbb{N} where for any mNm\geq N, the first kk terms in the increasing order of degree of tt of Δ(m)\Delta(\mathcal{L}_{m}) agree with the first kk terms of

tmn(n12r)/2h(t).t^{mn(n-1-2r)/2}h_{\mathcal{L}}(t).

By the symmetry of the Alexander polynomials, a similar result holds for the last kk terms as well.

Since the Laurent series h(t)h_{\mathcal{L}}(t) is defined as some (q)\mathbb{C}(q)-linear combination of the Alexander polynomials Δ(m)\Delta(\mathcal{L}_{m}) for m{0,1,2,,n1}m\in\{0,1,2,...,n-1\}, it satisfies the usual skein relations for Alexander polynomials if we change a crossing away from the chosen nn-parallel strands. We can think of h(t)h_{\mathcal{L}}(t) as an invariant of the (n,n)(n,n)-tangle obtained by cutting LL along the nn-parallel strands.

The main tool used in this paper is the formulation of the Alexander polynomial as a Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-quantum invariant. See [Sar15] for a detailed explanation of this point of view. In brief, we study the Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-equivariant maps induced by oriented tangles on VnV^{\otimes n}, where VV is the vector space representation of Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1)). Here we use the assumption that all the nn-parallel strands are of the same orientation. (In general, we would also need the dual space VV^{*} of VV.) Also, as all the tangles are oriented upwards in our situation, we can ignore the orientation of the tangle, and consider the action of upward-oriented tangles as an action of the braid group BnB_{n} on VnV^{\otimes n}, denoted by

Φ:BnEndUq(𝔤𝔩(1|1))(Vn).\Phi:B_{n}\to End_{U_{q}(\mathfrak{gl}(1|1))}(V^{\otimes n}).

The Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-module VnV^{\otimes n} decomposes as a direct sum

Vnk=0n1(n1k)L((nk)ϵ1+kϵ2),V^{\otimes n}\cong\bigoplus^{n-1}_{k=0}{{n-1}\choose{k}}L\big{(}(n-k)\epsilon_{1}+k\epsilon_{2}\big{)},

where each L((nk)ϵ1+kϵ2)L\big{(}(n-k)\epsilon_{1}+k\epsilon_{2}\big{)} is a 22-dimensional irreducible representation of Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1)), generated by a highest weight vector with weight (nk)ϵ1+kϵ2(n-k)\epsilon_{1}+k\epsilon_{2} as a Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-module. Then it is enough to study the action of BnB_{n} on the vector space spanned by highest weight vectors of VnV^{\otimes n} of weights (nk)ϵ1+kϵ2(n-k)\epsilon_{1}+k\epsilon_{2} for each k{0,..,n1}k\in\{0,..,n-1\}. Denote this space by

Hk={vVnE(v)=0,qhv=qh,(nk)ϵ1+kϵ2v}.H_{k}=\left\{v\in V^{\otimes n}\mid E(v)=0,\,\,\textbf{q}^{h}v=q^{\langle h,(n-k)\epsilon_{1}+k\epsilon_{2}\rangle}v\right\}.

First, we define a map

ψk:kH1Hk,\psi_{k}:\wedge^{k}H_{1}\to H_{k},

and prove that ψk\psi_{k} is an isomorphism between (q)\mathbb{C}(q)-vector spaces. This is proved by choosing a good basis of HkH_{k}. See Proposition 2.7 and Proposition 2.8 for the details.

Then we show ψk\psi_{k} is ‘almost’ an isomorphism of BnB_{n}-modules, ‘almost’ because they are different by some powers of qq. More explicitly,

Proposition 1.3.

For any k=1,,n1k=1,...,n-1, any vkH1v\in\wedge^{k}H_{1} and any one-crossing generator σtBn\sigma_{t}\in B_{n}, we have:

ψk(σtv)=qk1σtψk(v),\psi_{k}(\sigma_{t}\cdot v)=q^{k-1}\sigma_{t}\cdot\psi_{k}(v),

where the action of σt\sigma_{t} on kH1\wedge^{k}H_{1} is the diagonal action of σt\sigma_{t} on each component of kH1\wedge^{k}H_{1}.

As a result, the action of BnB_{n} on VnV^{\otimes n} is completely determined by its action on the vector space H1H_{1}. It is not hard to compute the action of the full twist τBn\tau\in B_{n} on H1H_{1} explicitly, which is simply a scalar multiplication by qn(n3)q^{n(n-3)}. Hence, if we define

πk:VnVnfor k{0,,n1},\pi_{k}:V^{\otimes n}\to V^{\otimes n}\,\,\text{for }k\in\{0,...,n-1\},

as the projection to the subspace HkF(Hk)H_{k}\oplus F(H_{k}), then we can write

Φ(τ)=k=0n1qn(n12k)πk.\Phi(\tau)=\sum_{k=0}^{n-1}q^{n(n-1-2k)}\pi_{k}.

The equation holds for any power of τ\tau by raising the coefficients to the corresponding power. By looking at the first nn powers of τ\tau and inverting the coefficient matrix, we can write πk\pi_{k} as a (q)\mathbb{C}(q)-linear combinations of Φ(τ0),,Φ(τn1)\Phi(\tau^{0}),...,\Phi(\tau^{n-1}) for each k{0,,n1}k\in\{0,...,n-1\}. Therefore, for any m0m\geq 0, we can write Φ(τm)\Phi(\tau^{m}) as a (q)\mathbb{C}(q)-linear combinations of Φ(τ0),,Φ(τn1)\Phi(\tau^{0}),...,\Phi(\tau^{n-1}). This leads to the expression of Δ(Lm)\Delta(L_{m}) in Proposition 1.1 in terms of Δ(L0),,Δ(Ln1)\Delta(L_{0}),...,\Delta(L_{n-1}).

Here are some directions of future work. Firstly, the construction in this paper relies on the assumption that the nn-parallel strands are oriented in the same direction. It is a natural question to ask what happens if we reverse the direction of some of the strands.

Secondly, in [LC18], Lambert-Cole proved stabilization results for knot Floer homology under adding twists to 22-parallel strands. We would like to explore similar stabilization results for knot Floer homology under adding twists to nn-parallel strands.

Thirdly, in [Roz10], Rozansky used the stabilization results on Khovanov homology under adding twists to define Khovanov homology for links in S2×S1S^{2}\times S^{1}. See also [Wil21], where Willis extended it to links in #rS2×S1\#^{r}S^{2}\times S^{1}. We would like to see, if such stabilization results hold for knot Floer homology, what is the relation of the stabilization limit with the knot Floer homology for links in S2×S1S^{2}\times S^{1}.

Organization of the paper. In Section 2.1 and 2.2, we briefly review the quantum group Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1)) and its representations. In Section 2.3, we give a basis of HkH_{k}, and prove HkkH1H_{k}\cong\wedge^{k}H_{1} as vector spaces. In Section 3, we prove Proposition 1.3. In Section 4, we compute the action of the full twist τ\tau on VnV^{\otimes n}, and then prove Proposition 1.1 and 1.2.

Acknowledgements. The author wants to thank Ciprian Manolescu and Mike Willis for many helpful discussions.

2. Representations of Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))

In this section, we first give a brief review of representations of Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1)). We follow the exposition in Section 22 and 33 in [Sar15] closely. The relatively new material in this section is that we introduce some (q)\mathbb{C}(q)-vector space basis of the tensor product VnV^{\otimes n} of the vector space representation VV, which will be important for our analysis of the braid group action later.

2.1. The quantum enveloping subalgebra Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))

Let 𝔤𝔩(1|1)\mathfrak{gl}(1|1) be the Lie superalgebra of linear endomorphisms of the 22-dimensional graded complex vector space 1|1=u0,u1\mathbb{C}^{1|1}=\langle u_{0},u_{1}\rangle with grading |u0|=0,|u1|=1|u_{0}|=0,|u_{1}|=1. Let 𝔥=h1,h2\mathfrak{h}=\langle h_{1},h_{2}\rangle be the Cartan subalegbra of the diagonal matrices. Denote the weight lattice by P=ϵ1ϵ2P=\mathbb{Z}\epsilon_{1}\oplus\mathbb{Z}\epsilon_{2}, where {ϵ1,ϵ2}\left\{\epsilon_{1},\epsilon_{2}\right\} is the basis dual to {h1,h2}\left\{h_{1},h_{2}\right\}. Denote its dual lattice by P=h1h2P^{*}=\mathbb{Z}h_{1}\oplus\mathbb{Z}h_{2}. The roots of 𝔤𝔩(1|1)\mathfrak{gl}(1|1) are α=ϵ1ϵ2\alpha=\epsilon_{1}-\epsilon_{2} and α-\alpha.

The quantum enveloping superalgebra Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1)) is the unital superalgebra over the field (q)\mathbb{C}(q) generated by E,F,qhE,F,\textbf{q}^{h} with hPh\in P^{*}, with degrees |qh|=0|\textbf{q}^{h}|=0, |E|=|F|=1|E|=|F|=1 and relations

(2.1) q0=1,qhqh=qh+hfor h,hP,qhE=qh,αEqh,qhF=qh,αFqh,for hP,EF+FE=KK1qq1,where K=qh1+h2,E2=F2=0.\begin{split}\textbf{q}^{0}=1,\quad\textbf{q}^{h}\textbf{q}^{h^{\prime}}&=q^{h+h^{\prime}}\quad\text{for }h,h^{\prime}\in P^{*},\\ \textbf{q}^{h}E=q^{\langle h,\alpha\rangle}E\textbf{q}^{h},\quad\textbf{q}^{h}F&=q^{\langle h,-\alpha\rangle}F\textbf{q}^{h},\quad\text{for }h\in P,\\ EF+FE=\frac{K-K^{-1}}{q-q^{-1}},&\quad\text{where }K=\textbf{q}^{h_{1}+h_{2}},\\ E^{2}&=F^{2}=0.\end{split}

The quantum enveloping superalgebra Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1)) has a Hopf superalgebra structure, with the comultiplication Δ:Uq(𝔤𝔩(1|1))Uq(𝔤𝔩(1|1))Uq(𝔤𝔩(1|1))\Delta:U_{q}(\mathfrak{gl}(1|1))\to U_{q}(\mathfrak{gl}(1|1))\otimes U_{q}(\mathfrak{gl}(1|1)), the counit u:Uq(𝔤𝔩(1|1))(q)\textbf{u}:U_{q}(\mathfrak{gl}(1|1))\to\mathbb{C}(q) and the antipodal map S:Uq(𝔤𝔩(1|1))Uq(𝔤𝔩(1|1))S:U_{q}(\mathfrak{gl}(1|1))\to U_{q}(\mathfrak{gl}(1|1)) defined as follows:

(2.2) Δ(E)=EK1+1E,Δ(F)=F1+KF,Δ(qh)=qhqh,u(E)=u(F)=0,u(qh)=1,S(E)=EK,S(F)=K1F,S(qh)=qh.\begin{split}\Delta(E)=E\otimes K^{-1}+1\otimes E,\quad\Delta(F)&=F\otimes 1+K\otimes F,\quad\Delta(\textbf{q}^{h})=\textbf{q}^{h}\otimes\textbf{q}^{h},\\ \textbf{u}(E)=\textbf{u}(F)=0,&\quad\textbf{u}(\textbf{q}^{h})=1,\\ S(E)=-EK,\quad S(F)=&-K^{-1}F,\quad S(\textbf{q}^{h})=\textbf{q}^{-h}.\end{split}

2.2. Representations of Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))

For a weight λ=c1ϵ1+c2ϵ2P\lambda=c_{1}\epsilon_{1}+c_{2}\epsilon_{2}\in P, define the grading of λ\lambda by

|λ|=c2mod2.|\lambda|=c_{2}\mod 2\,\,.

Irreducible representations L(λ)L(\lambda) of Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1)) are indexed by the their highest weight λP\lambda\in P, which are divided into two cases, depending on whether or not λ\lambda belongs to P:={λP|λ,h1+h20}P^{\prime}:=\left\{\lambda\in P|\langle\lambda,h_{1}+h_{2}\rangle\neq 0\right\}, which is the complement of α\mathbb{Z}\alpha in the weight lattice PP.

  1. (1)

    If λP\lambda\notin P^{\prime}, i.e. λ,h1+h2=0\langle\lambda,h_{1}+h_{2}\rangle=0, then L(λ)L(\lambda) is a 11-dimensional (q)\mathbb{C}(q)-vector space spanned by vλv^{\lambda}, with grading |vλ|=|λ||v^{\lambda}|=|\lambda| and actions

    (2.3) Evλ=Fvλ=0,qhvλ=qh,λvλ.Ev^{\lambda}=Fv^{\lambda}=0,\quad\textbf{q}^{h}v^{\lambda}=q^{\langle h,\lambda\rangle}v^{\lambda}.
  2. (2)

    If λP\lambda\in P^{\prime}, i.e. λ,h1+h20\langle\lambda,h_{1}+h_{2}\rangle\neq 0, then L(λ)L(\lambda) is a 22-dimensional (q)\mathbb{C}(q)-vector space spanned by {v0λ,v1λ}\left\{v_{0}^{\lambda},v_{1}^{\lambda}\right\}, with gradings |v0λ|=|λ|,|v1λ|=|λ|+1|v^{\lambda}_{0}|=|\lambda|,|v^{\lambda}_{1}|=|\lambda|+1 and actions

    (2.4) Ev0λ=0,Fv0λ=[λ]v1λ,qhv0λ=qh,λv0λ,Ev1λ=v0λ,Fv1λ=0,qhv1λ=qh,λαv1λ,\begin{split}Ev^{\lambda}_{0}=0,\quad Fv^{\lambda}_{0}=\left[\lambda\right]v^{\lambda}_{1},\quad&\textbf{q}^{h}v^{\lambda}_{0}=q^{\langle h,\lambda\rangle}v^{\lambda}_{0},\\ Ev^{\lambda}_{1}=v_{0}^{\lambda},\quad Fv^{\lambda}_{1}=0,\quad&\textbf{q}^{h}v^{\lambda}_{1}=q^{\langle h,\lambda-\alpha\rangle}v^{\lambda}_{1},\\ \end{split}

    where [λ]=qh1+h2,λqh1+h2,λqq1.\left[\lambda\right]=\frac{q^{\langle h_{1}+h_{2},\lambda\rangle}-q^{-\langle h_{1}+h_{2},\lambda\rangle}}{q-q^{-1}}.

The most important representation for us is L(ϵ1)L(\epsilon_{1}) and we introduce some special notations for it.

Definition 2.1.

The vector space representation VV of Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1)) is L(ϵ1)L(\epsilon_{1}), spanned by {v0,v1}\left\{v_{0},v_{1}\right\} with gradings |v0|=0,|v1|=1|v_{0}|=0,|v_{1}|=1, and actions

(2.5) Ev0=0,Fv0=v1,qhv0=qh,ϵ1v0,Ev1=v0,Fv1=0,qhv1=qh,ϵ2v1,\begin{split}Ev_{0}=0,\quad Fv_{0}=v_{1},\quad&\textbf{q}^{h}v_{0}=q^{\langle h,\epsilon_{1}\rangle}v_{0},\\ Ev_{1}=v_{0},\quad Fv_{1}=0,\quad&\textbf{q}^{h}v_{1}=q^{\langle h,\epsilon_{2}\rangle}v_{1},\\ \end{split}

In particular, for K=qh1+h2K=\textbf{q}^{h_{1}+h_{2}}, we have Kv0=qv0Kv_{0}=qv_{0} and Kv1=qv1Kv_{1}=qv_{1}.

The following result describes the decomposition tensor product of certain irreducible representations of Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1)).

Lemma 2.2.

[Sar15, Lemma 3.3] Suppose λ,μ,λ+μP\lambda,\mu,\lambda+\mu\in P^{\prime}, then we have

(2.6) L(λ)L(μ)L(λ+μ)L(λ+μα),L(\lambda)\otimes L(\mu)\cong L(\lambda+\mu)\otimes L(\lambda+\mu-\alpha),

where L(λ+μ)L(\lambda+\mu) is spanned by {v0λv0μ,F(v0λv0μ)}\left\{v_{0}^{\lambda}\otimes v_{0}^{\mu},F(v_{0}^{\lambda}\otimes v_{0}^{\mu})\right\}, and L(λ+μα)L(\lambda+\mu-\alpha) is spanned by {E(v1λv1μ),v1λv1μ}\left\{E(v_{1}^{\lambda}\otimes v_{1}^{\mu}),v_{1}^{\lambda}\otimes v_{1}^{\mu}\right\}.

Note that the action of EE on L(λ)L(μ)L(\lambda)\otimes L(\mu) is defined via the comultiplication Δ\Delta, and there is a sign adjustment due to the grading, e.g.

E(v1λv1μ)\displaystyle E(v_{1}^{\lambda}\otimes v_{1}^{\mu}) =Δ(E)(v1λv1μ)=(EK1+1E)(v1λv1μ)\displaystyle=\Delta(E)(v_{1}^{\lambda}\otimes v_{1}^{\mu})=(E\otimes K^{-1}+1\otimes E)(v_{1}^{\lambda}\otimes v_{1}^{\mu})
=(1)|K1||v1λ|E(v1λ)K1(v1μ)+(1)|E||v1λ|v1λE(v1μ)\displaystyle=(-1)^{|K^{-1}||v_{1}^{\lambda}|}E(v^{\lambda}_{1})\otimes K^{-1}(v^{\mu}_{1})+(-1)^{|E||v^{\lambda}_{1}|}v^{\lambda}_{1}\otimes E(v^{\mu}_{1})
=v0λqμα,h1h2v1μ+(1)|λ|+1v1λv0μ.\displaystyle=v^{\lambda}_{0}\otimes q^{\langle\mu-\alpha,-h_{1}-h_{2}\rangle}v^{\mu}_{1}+(-1)^{|\lambda|+1}v^{\lambda}_{1}\otimes v^{\mu}_{0}.

Using Lemma 2.2 repeatedly, we get the following decomposition of tensor products of the vector space representations VnV^{\otimes n}.

Lemma 2.3.

[BM13, Theorem 6.4] The tensor product VnV^{\otimes n} decomposes as

(2.7) Vnk=0n1(n1k)L((nk)ϵ1+kϵ2)V^{\otimes n}\cong\bigoplus^{n-1}_{k=0}{{n-1}\choose{k}}L\big{(}(n-k)\epsilon_{1}+k\epsilon_{2}\big{)}

2.3. A Basis of VnV^{\otimes n}

In the rest of this section, we will give an explicit choice of highest weight vectors in VnV^{\otimes n} with weights (nk)ϵ1+kϵ2(n-k)\epsilon_{1}+k\epsilon_{2}. See Proposition 2.7 and 2.8. This construction is partly motivated by the ‘canonical basis’ in [Zha02], and tensor products of the regular representation of the symmetric group. Similar constructions appeared in [Man19] as well. In Section 3, we will see that this choice of basis gives a natural description of the action of the braid group BnB_{n} on VnV^{\otimes n}.

Fix some nn for the rest of the section. We introduce some notations first.

Definition 2.4.

For k{0,1,,n1}k\in\{0,1,...,n-1\}, let HkH_{k} denote the space of highest weight vectors in VnV^{\otimes n} with weight (nk)ϵ1+kϵ2(n-k)\epsilon_{1}+k\epsilon_{2}, i.e.,

(2.8) Hk={vVnE(v)=0,qhv=qh,(nk)ϵ1+kϵ2v}.H_{k}=\left\{v\in V^{\otimes n}\mid E(v)=0,\,\,\textbf{q}^{h}v=q^{\langle h,(n-k)\epsilon_{1}+k\epsilon_{2}\rangle}v\right\}.

Denote the space of highest weight vectors of VnV^{\otimes n} by

H:=k=0n1Hk.H:=\bigoplus_{k=0}^{n-1}H_{k}.

Note that if {vi}i\left\{v_{i}\right\}_{i\in\mathcal{I}} is a basis of highest weight vectors HH, then {vi}i{F(vi)}i\left\{v_{i}\right\}_{i\in\mathcal{I}}\cup\left\{F(v_{i})\right\}_{i\in\mathcal{I}} is a basis of VnV^{\otimes n}, by the description of the irreducible representations of Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1)) in Equation 2.4 and the direct sum decomposition in Lemma 2.7. Therefore, we will focus on finding a basis of HkH_{k} for each k{0,1,,n1}k\in\{0,1,...,n-1\}.

It follows directly from Lemma 2.7 that dim Hk=(n1k)H_{k}={{n-1}\choose{k}}. In particular, H0H_{0} is 11-dimensional, which is spanned by v0nv_{0}^{\otimes n}. For other values of kk, we introduce some other notations before giving a basis.

Definition 2.5.

For k{0,1,,n1}k\in\left\{0,1,...,n-1\right\}, let 𝒮k\mathcal{S}_{k} be the set of strings s=(a1,b1,a2,b2,,bl,al+1)s=(a_{1},b_{1},a_{2},b_{2},...,b_{l},a_{l+1}) which satisfies the following conditions:

(2.9) 𝒮k={s=(a1,b1,a2,b2,,bl,al+1)|ai,bi0,bi2,i=1l(bi1)=k,i=1l+1ai+j=1lbj=n}\mathcal{S}_{k}=\left\{s=(a_{1},b_{1},a_{2},b_{2},...,b_{l},a_{l+1})\bigg{|}\,\,a_{i},b_{i}\in\mathbb{Z}_{\geq 0},b_{i}\geq 2,\sum_{i=1}^{l}(b_{i}-1)=k,\sum_{i=1}^{l+1}a_{i}+\sum_{j=1}^{l}b_{j}=n\right\}

We define the function ϕ:𝒮kVn\phi:\mathcal{S}_{k}\to V^{\otimes n} by the following expression:

(2.10) ϕ((a1,b1,a2,b2,,bl,al+1))=v0a1E(v1b1)v0a2E(v1b2)E(v1bl)v0al+1,\phi((a_{1},b_{1},a_{2},b_{2},...,b_{l},a_{l+1}))=v_{0}^{\otimes a_{1}}\otimes E(v_{1}^{\otimes b_{1}})\otimes v_{0}^{\otimes a_{2}}\otimes E(v_{1}^{\otimes b_{2}})\otimes...\otimes E(v_{1}^{\otimes b_{l}})\otimes v_{0}^{\otimes a_{l+1}},

where if aj=0a_{j}=0 for some jj, then we drop the part v0ajv_{0}^{\otimes a_{j}} in the expression.

Remark.

Note that v0=E(v1)v_{0}=E(v_{1}), so a string s𝒮ks\in\mathcal{S}_{k} could be viewed as a recipe to apply EE’s to different components of v1nv_{1}^{\otimes n}, where bib_{i} means applying EE to v1biv_{1}^{\otimes b_{i}}, and aia_{i} means applying aia_{i}-many EE’s, each to a single v1v_{1} to get (E(v1))ai=v0ai.(E(v_{1}))^{\otimes a_{i}}=v_{0}^{\otimes a_{i}}.

Example 2.6.

When k=0k=0, the only possible string in 𝒮0\mathcal{S}_{0} is the 1-digit string s=(n)s=(n), for which the corresponding vector ϕ(s)=v0n\phi(s)=v_{0}^{\otimes n}.

When k=1k=1, possible strings in 𝒮1\mathcal{S}_{1} are those such that l=1l=1 and b1=2b_{1}=2. Thus, we have

(2.11) 𝒮1={si=(i,2,n2i)i=0,,n2}\mathcal{S}_{1}=\left\{s_{i}=(i,2,n-2-i)\mid i=0,...,n-2\right\}

Denote ei:=ϕ(si1)=v0i1E(v1v1)v0(n1i)e_{i}:=\phi(s_{i-1})=v_{0}^{\otimes i-1}\otimes E(v_{1}\otimes v_{1})\otimes v_{0}^{\otimes(n-1-i)} for i=1,,n1i=1,...,n-1. More explicitly,

(2.12) ei=v0i1(q1v0v1v1v0)v0(n1i).e_{i}=v_{0}^{\otimes i-1}\otimes(q^{-1}v_{0}\otimes v_{1}-v_{1}\otimes v_{0})\otimes v_{0}^{\otimes(n-1-i)}.

It is easy to see from the explicit formulae that {eii=1,,n1}\left\{e_{i}\mid i=1,...,n-1\right\} is a linearly independent set of size n1n-1. With the help of Lemma 2.9, we get that eiH1e_{i}\in H_{1}, so {eii=1,,n1}\left\{e_{i}\mid i=1,...,n-1\right\} is a basis of H1H_{1}.

Now we are ready to state the main result of this section.

Proposition 2.7.

For each k{1,,n1}k\in\{1,...,n-1\}, ϕ(𝒮k)\phi(\mathcal{S}_{k}) gives a basis of HkH_{k}.

To prove this proposition, we will first prove the statement for k=1k=1. For other values of kk, we will prove the following statement.

Proposition 2.8.

For each k{1,,n1}k\in\{1,...,n-1\}, there is an isomorphism of (q)\mathbb{C}(q)-vector space

ψk:kH1Hk,\psi_{k}:\wedge^{k}H_{1}\to H_{k},

such that ψk\psi_{k} sends a standard basis of kH1\wedge^{k}H_{1} to ϕ(𝒮k)\phi(\mathcal{S}_{k}):

{ψk(ei1ei2eik)1i1<i2<<ikn1}=ϕ(𝒮k),\left\{\psi_{k}(e_{i_{1}}\wedge e_{i_{2}}\wedge...\wedge e_{i_{k}})\mid 1\leq i_{1}<i_{2}<...<i_{k}\leq n-1\right\}=\phi(\mathcal{S}_{k}),

where {ei}1in1\left\{e_{i}\right\}_{1\leq i\leq n-1} is the basis of H1H_{1} defined as in Example 2.6.

We begin the proof of Proposition 2.7 by showing ϕ(𝒮k)\phi(\mathcal{S}_{k}) lies in HkH_{k}.

Lemma 2.9.

For each k{1,,n1}k\in\{1,...,n-1\} and each s𝒮ks\in\mathcal{S}_{k}, we have ϕ(s)Hk\phi(s)\in H_{k}.

Proof.

It is enough to check each ϕ(s)\phi(s) is a highest weight vector with the correct weight.

First, we give a more explicit formula for ϕ(s)\phi(s). By repeated application of Δ(E)\Delta(E) in Equation (2.2), one gets

(2.13) Δm(E)=i=0mid(mi)E(K1)i,\Delta^{m}(E)=\sum_{i=0}^{m}id^{\otimes(m-i)}\otimes E\otimes(K^{-1})^{\otimes i},

and

(2.14) E(v1m)=Δm1(E)(v1m)=i=0m1(1)iq(m1i)v1iv0v1(m1i).E(v_{1}^{\otimes m})=\Delta^{m-1}(E)(v_{1}^{\otimes m})=\sum_{i=0}^{m-1}(-1)^{i}q^{-(m-1-i)}v_{1}^{\otimes i}\otimes v_{0}\otimes v_{1}^{\otimes(m-1-i)}.

Therefore, for each s=(a1,b1,a2,b2,,bl,al+1)𝒮ks=(a_{1},b_{1},a_{2},b_{2},...,b_{l},a_{l+1})\in\mathcal{S}_{k} as defined in Definition 2.5,

ϕ(s)=v0a1E(v1b1)v0a2E(v1b2)E(v1bl)v0al+1\phi(s)=v_{0}^{\otimes a_{1}}\otimes E(v_{1}^{\otimes b_{1}})\otimes v_{0}^{\otimes a_{2}}\otimes E(v_{1}^{\otimes b_{2}})\otimes...\otimes E(v_{1}^{\otimes b_{l}})\otimes v_{0}^{\otimes a_{l+1}}

is a (q)\mathbb{C}(q)-linear combination of terms in VnV^{\otimes n} such that in each term, kk components of the tensor product are v1v_{1} and nkn-k components of the tensor product are v0v_{0}, as we require

i=1l(bi1)=k\sum_{i=1}^{l}(b_{i}-1)=k

for s𝒮ks\in\mathcal{S}_{k}. Since v0v_{0} has weight ϵ1\epsilon_{1} and v1v_{1} has weight ϵ2\epsilon_{2}, the weight of ϕ(s)\phi(s) is (nk)ϵ1+kϵ2(n-k)\epsilon_{1}+k\epsilon_{2} as required.

Now we show E(ϕ(s))=0E(\phi(s))=0 for any s𝒮ks\in\mathcal{S}_{k}. Choose a string s=(a1,b1,a2,b2,,bl,al+1)𝒮ks=(a_{1},b_{1},a_{2},b_{2},...,b_{l},a_{l+1})\in\mathcal{S}_{k}.

For 2jl12\leq j\leq l-1, let

(2.15) cj=a1+i=1j1(bi+ai+1),dj=i=1j1(bi1)c_{j}=a_{1}+\sum_{i=1}^{j-1}(b_{i}+a_{i+1}),\quad d_{j}=\sum_{i=1}^{j-1}(b_{i}-1)

and let c1=a1c_{1}=a_{1}, i.e. cjc_{j} is the sum of entries in ss before bjb_{j}.

Applying EE to ϕ(s)\phi(s), we get

E(ϕ(s))=Δn1(E)(ϕ(s))=i=0n1(1(n1i)E(K1)i)(v0a1E(v1b1)v0a2E(v1b2)E(v1bl)v0al+1)=j=1li=cjcj+bj1(1iE(K1)(n1i))(v0a1E(v1b1)v0a2E(v1b2)E(v1bl)v0al+1)=j=1l(1)djq(ncjbj)v0a1E(v1b1)v0a2E(v1b2)E(E(v1bj))E(v1bl)v0al+1=0,\begin{split}E(\phi(s))&=\Delta^{n-1}(E)(\phi(s))\\ &=\sum_{i=0}^{n-1}\big{(}1^{\otimes(n-1-i)}\otimes E\otimes(K^{-1})^{\otimes i}\big{)}(v_{0}^{\otimes a_{1}}\otimes E(v_{1}^{\otimes b_{1}})\otimes v_{0}^{\otimes a_{2}}\otimes E(v_{1}^{\otimes b_{2}})\otimes...\otimes E(v_{1}^{\otimes b_{l}})\otimes v_{0}^{\otimes a_{l+1}})\\ &=\sum_{j=1}^{l}\sum_{i=c_{j}}^{c_{j}+b_{j}-1}\big{(}1^{\otimes i}\otimes E\otimes(K^{-1})^{\otimes(n-1-i)}\big{)}(v_{0}^{\otimes a_{1}}\otimes E(v_{1}^{\otimes b_{1}})\otimes v_{0}^{\otimes a_{2}}\otimes E(v_{1}^{\otimes b_{2}})\otimes...\otimes E(v_{1}^{\otimes b_{l}})\otimes v_{0}^{\otimes a_{l+1}})\\ &=\sum_{j=1}^{l}(-1)^{d_{j}}q^{-(n-c_{j}-b_{j})}v_{0}^{\otimes a_{1}}\otimes E(v_{1}^{\otimes b_{1}})\otimes v_{0}^{\otimes a_{2}}\otimes E(v_{1}^{\otimes b_{2}})\otimes...\otimes E(E(v_{1}^{\otimes b_{j}}))\otimes...\otimes E(v_{1}^{\otimes b_{l}})\otimes v_{0}^{\otimes a_{l+1}}\\ &=0,\end{split}

where the first two equalities are definitions. The third equality follows from E(v0)=0E(v_{0})=0, so we can ignore those terms where EE is applied to v0v_{0}. The fourth equality follows from K1v0=q1v0K^{-1}v_{0}=q^{-1}v_{0} and K1v1=q1v1K^{-1}v_{1}=q^{-1}v_{1}. The last equality follows from E2=0E^{2}=0. ∎

Proof of Proposition 2.7 when k=1k=1.

It follows from the discussion in Example 2.6 and Lemma 2.9. We see that ϕ(𝒮1)\phi(\mathcal{S}_{1}) is contained in H1H_{1} by Lemma 2.9, and ϕ(𝒮1)\phi(\mathcal{S}_{1}) is a linearly independent set of the right size in Example 2.6, hence ϕ(𝒮1)\phi(\mathcal{S}_{1}) is a basis of H1H_{1}. ∎

Now we turn to the proof of Proposition 2.8, from which the general case of Proposition 2.7 will follow.

Proof of Proposition 2.8.

On the vector space VV, we define a product :VVV\cdot:V\otimes V\to V by:

(2.16) v0v0=v0,v0v1=v1v0=v1,v1v1=0.v_{0}\cdot v_{0}=v_{0},\quad v_{0}\cdot v_{1}=v_{1}\cdot v_{0}=v_{1},\quad v_{1}\cdot v_{1}=0.

We extend this to a graded componentwise product on VnV^{\otimes n} by the obvious formula:

(2.17) m:VnVnVn(vα1vα2vαn)(vβ1vβ2vβn)(1)vα1vβ1vα2vβ2vαnvβn,\begin{split}m:V^{\otimes n}\otimes V^{\otimes n}&\to V^{\otimes n}\\ (v_{\alpha_{1}}\otimes v_{\alpha_{2}}\otimes...\otimes v_{\alpha_{n}})\otimes(v_{\beta_{1}}\otimes v_{\beta_{2}}\otimes...\otimes v_{\beta_{n}})&\to(-1)^{\clubsuit}v_{\alpha_{1}}\cdot v_{\beta_{1}}\otimes v_{\alpha_{2}}\cdot v_{\beta_{2}}\otimes...\otimes v_{\alpha_{n}}\cdot v_{\beta_{n}},\end{split}

where

=i=1nj=i+1nβiαj.\clubsuit=\sum_{i=1}^{n}\sum_{j=i+1}^{n}\beta_{i}\alpha_{j}.

Define wi=v0(i1)v1v0(ni)w_{i}=v_{0}^{\otimes(i-1)}\otimes v_{1}\otimes v_{0}^{\otimes(n-i)} for 1in1\leq i\leq n. Let UU be the (q)\mathbb{C}(q)-vector space spanned by {wi1in}\left\{w_{i}\mid 1\leq i\leq n\right\}. Then for each pair (i,j)(i,j) with i<ji<j, we have

m(wiwj)=v0(i1)v1v0(ji1)v1v0(nj)=m(wjwi),m(w_{i}\otimes w_{j})=v_{0}^{\otimes(i-1)}\otimes v_{1}\otimes v_{0}^{\otimes(j-i-1)}\otimes v_{1}\otimes v_{0}^{\otimes(n-j)}=-m(w_{j}\otimes w_{i}),

and for each ii,

m(wiwi)=0.m(w_{i}\otimes w_{i})=0.

Therefore, mm defines an antisymmetric product on UU, and we can define an isomorphism

(2.18) ψ:UVn,\psi:\wedge^{*}U\to V^{\otimes n},

such that for 1i1<i2<<ikn1\leq i_{1}<i_{2}<...<i_{k}\leq n,

ψ(wi1wi2wik)=mik(wi1wi2wik)=vα1vα2vαn,\psi(w_{i_{1}}\wedge w_{i_{2}}\wedge...\wedge w_{i_{k}})=m^{i_{k}}(w_{i_{1}}\otimes w_{i_{2}}\otimes...\otimes w_{i_{k}})=v_{\alpha_{1}}\otimes v_{\alpha_{2}}\otimes...\otimes v_{\alpha_{n}},

where

vαj={v1,if j{i1,i2,,ik},v0,otherwise.v_{\alpha_{j}}=\begin{cases}v_{1},\quad&\text{if }j\in\left\{i_{1},i_{2},...,i_{k}\right\},\\ v_{0},\quad&\text{otherwise.}\\ \end{cases}

Define

(2.19) ψk:kH1Vn\psi_{k}:\wedge^{k}H_{1}\to V^{\otimes n}

as the restriction of ψ\psi to kH1\wedge^{k}H_{1}.

Recall from Example 2.6, we have

ei=v0i1(q1v0v1v1v0)v0(n1i)=wi+q1wi+1,e_{i}=v_{0}^{\otimes i-1}\otimes(q^{-1}v_{0}\otimes v_{1}-v_{1}\otimes v_{0})\otimes v_{0}^{\otimes(n-1-i)}=-w_{i}+q^{-1}w_{i+1},

and we have shown that ϕ(𝒮1)={e1,e2,,en1}\phi(\mathcal{S}_{1})=\left\{e_{1},e_{2},...,e_{n-1}\right\} gives a basis of H1H_{1}.

We are going to prove that

(\dagger) {ψk(ei1ei2eik)1i1<i2<<ikn1}=ϕ(𝒮k).\left\{\psi_{k}(e_{i_{1}}\wedge e_{i_{2}}\wedge...\wedge e_{i_{k}})\mid 1\leq i_{1}<i_{2}<...<i_{k}\leq n-1\right\}=\phi(\mathcal{S}_{k}).

Suppose we have shown (\dagger2.3), then as ϕ(𝒮k)Hk\phi(\mathcal{S}_{k})\subset H_{k}, we get Im(ψk)Hk\text{Im}(\psi_{k})\subset H_{k}. Since ker(ψk)ker(ψ)=0\ker(\psi_{k})\subset\ker(\psi)=0, and dimkH1=dimHk=(n1k)\dim\wedge^{k}H_{1}=\dim H_{k}={{n-1}\choose{k}}, it follows that ψk:kH1Hk\psi_{k}:\wedge^{k}H_{1}\to H_{k} is an isomorphism.

It is left to prove Equation (\dagger2.3), which follows from explicit calculations. Note that for a consecutive sequence of indices i+1<i+2<<i+m1i+1<i+2<...<i+m-1 of length m1m-1, we have

(2.20) ψ(ei+1ei+2ei+m1)=ψ((wi+1+q1wi+2)(wi+2+q1wi+3)(wi+m1+q1wi+m))=j=0m1(1)jq(m1j)ψ(wi+1wi+2wi+1+j^wi+m)=j=0m1(1)jq(m1j)v0iv1jv0v1(m1j)v0(nim)=v0iE(v1m)v0(nim)=ϕ((i,m,nim)),\begin{split}&\psi(e_{i+1}\wedge e_{i+2}\wedge...\wedge e_{i+m-1})\\ =&\psi\Big{(}(-w_{i+1}+q^{-1}w_{i+2})\wedge(-w_{i+2}+q^{-1}w_{i+3})\wedge...\wedge(-w_{i+m-1}+q^{-1}w_{i+m})\Big{)}\\ =&\sum_{j=0}^{m-1}(-1)^{j}q^{-(m-1-j)}\psi\left(w_{i+1}\wedge w_{i+2}\wedge...\wedge\widehat{w_{i+1+j}}\wedge...\wedge w_{i+m}\right)\\ =&\sum_{j=0}^{m-1}(-1)^{j}q^{-(m-1-j)}v_{0}^{\otimes i}\otimes v_{1}^{\otimes j}\otimes v_{0}\otimes v_{1}^{\otimes(m-1-j)}\otimes v_{0}^{\otimes(n-i-m)}\\ =&v_{0}^{\otimes i}\otimes E(v_{1}^{\otimes m})\otimes v_{0}^{\otimes(n-i-m)}=\phi((i,m,n-i-m)),\\ \end{split}

where wi+1+j^\widehat{w_{i+1+j}} means this term is missed in the wedge product.

This shows a consecutive sequence of indices i+1<i+2<<i+m1i+1<i+2<...<i+m-1 of length m1m-1 in the wedge product ei+1ei+2ei+m1e_{i+1}\wedge e_{i+2}\wedge...\wedge e_{i+m-1} corresponds to applying EE to v1mv_{1}^{\otimes m} under the map ψ\psi. On the other hand, if the index ij+1i_{j+1} is larger than ij+1i_{j}+1 in the wedge product ei1ei2eike_{i_{1}}\wedge e_{i_{2}}\wedge...\wedge e_{i_{k}}, then they don’t interact with each other when we express them in terms of wiw_{i}, and we can treat them separately when applying ψ\psi.

Now given any string s=(a1,b1,,bl,al+1)𝒮ks=(a_{1},b_{1},...,b_{l},a_{l+1})\in\mathcal{S}_{k}, we can get a corresponding wedge product ws=ei1ei2eikw_{s}=e_{i_{1}}\wedge e_{i_{2}}\wedge...\wedge e_{i_{k}} by requiring i1<i2<<iki_{1}<i_{2}<...<i_{k}, and

(2.21) {i1,i2,,ik}=j=1l{cj+1,cj+2,,cj+bj1},\{i_{1},i_{2},...,i_{k}\}=\bigcup_{j=1}^{l}\left\{c_{j}+1,c_{j}+2,...,c_{j}+b_{j}-1\right\},

where cjc_{j} is defined in Equation (2.15). In words, it says each bjb_{j} in ss corresponds to a consecutive sequence cj+1<cj+2<<cj+bj2c_{j}+1<c_{j}+2<...<c_{j}+b_{j}-2 of length bj1b_{j}-1 in the index set of the wedge product ws=ei1ei2eikw_{s}=e_{i_{1}}\wedge e_{i_{2}}\wedge...\wedge e_{i_{k}}.

It is easy to see this gives a bijection between 𝒮k\mathcal{S}_{k} and the set of elements

{ei1ei2eik1i1<i2<<ikn1}.\left\{e_{i_{1}}\wedge e_{i_{2}}\wedge...\wedge e_{i_{k}}\mid 1\leq i_{1}<i_{2}<...<i_{k}\leq n-1\right\}.

For example, one can construct an inverse map, by grouping the indices i1<i2<<iki_{1}<i_{2}<...<i_{k} into blocks of consecutive ones. The jjth block of length mm corresponds to bj=m+1b_{j}=m+1, and aja_{j} is given by the difference between (j1)(j-1)th pair of non-consecutive indices. Applying the calculation in Equation (2.20) to each consecutive sequence of length bj1b_{j}-1 in the index set of wsw_{s} shows that

ϕ(s)=ψ(ws),for any s𝒮k.\phi(s)=\psi(w_{s}),\quad\text{for any }s\in\mathcal{S}_{k}.

Hence, we have the Equation \dagger2.3, and finish the proof Proposition 2.8. ∎

Proof of Proposition 2.7, for general k>1k>1..

It follows from Proposition 2.8. As ϕ(𝒮k)\phi(\mathcal{S}_{k}) is the image of a basis under an isomorphism of vector spaces, ϕ(𝒮k)\phi(\mathcal{S}_{k}) is a basis of HkH_{k}. ∎

3. The action of the braid group BnB_{n} on VnV^{\otimes n}

As described in [Sar15], for each oriented tangle, we can associate a Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-equivariant map using the RR-matrix which gives the quasitriangular structure of Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1)). See [Sar15, Section 4] for more detailed explanation of the construction.

In this paper, we will consider the Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-equivariant maps associated to (n,n)(n,n)-tangles such that each strands are oriented upwards. We will omit the orientation of the tangles, remembering each strand is oriented upwards, and treat them as elements in the braid group BnB_{n}. In this way, we get an action of BnB_{n} on the Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-module Vn=L(ϵ1)nV^{\otimes n}=L(\epsilon_{1})^{\otimes n}. Since the action is Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-equivariant, it sends highest weight vectors to highest weight vectors and preserves the weight, so we get an action of BnB_{n} on the (q)\mathbb{C}(q)-vector space HkH_{k} for k{0,1,,n1}k\in\{0,1,...,n-1\} defined as in Definition 2.4. Conversely, the action of BnB_{n} on VnV^{\otimes n} is determined by its action on each HkH_{k} by Schur’s lemma. We will prove that the action of BnB_{n} on HkH_{k} is almost the same as the diagonal action of BnB_{n} on the wedge product kH1\wedge^{k}H_{1}, up to some powers of qq. Hence, the action of BnB_{n} on VnV^{\otimes n} could be described completely by its action on H1H_{1}. Similar result is hinted in [Man19, Proposition 2.5.1]. We will use this to compute the effect of adding full twists on nn-positively oriented parallel strands on Alexander polynomial in Section 4.

We begin by recalling the definition of Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-equivariant maps associated to oriented tangles. Every strand in the tangle is supposed to be oriented upwards, so we drop the arrows in the tangle diagrams in this section.

For a positive crossing , we associate the map Rˇ:V2V2\check{R}:V^{\otimes 2}\to V^{\otimes 2},

(3.1) Rˇ(v0v0)=qv0v0,Rˇ(v1v0)=v0v1,Rˇ(v0v1)=v1v0+(qq1)(v0v1),Rˇ(v1v1)=q1v1v1,\begin{split}&\check{R}(v_{0}\otimes v_{0})=qv_{0}\otimes v_{0},\quad\check{R}(v_{1}\otimes v_{0})=v_{0}\otimes v_{1},\\ &\check{R}(v_{0}\otimes v_{1})=v_{1}\otimes v_{0}+(q-q^{-1})(v_{0}\otimes v_{1}),\quad\check{R}(v_{1}\otimes v_{1})=-q^{-1}v_{1}\otimes v_{1},\\ \end{split}

where V=L(ϵ1)V=L(\epsilon_{1}) is the vector space representation of Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1)) as in Definition 2.1.

Fix some positive integer nn throughout the section. For each generator σt\sigma_{t} of the braid group BnB_{n}, we associate the map Rˇt,t+1:VnVn\check{R}_{t,t+1}:V^{\otimes n}\to V^{\otimes n} by applying Rˇ\check{R} to the ttth and (t+1)(t+1)th component of VnV^{\otimes n}, i.e.,

(3.2) Rˇi,i+1:=id(t1)Rˇid(nt1).\check{R}_{i,i+1}:=id^{\otimes(t-1)}\otimes\check{R}\otimes id^{\otimes(n-t-1)}.

It follows from the construction that this defines a Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-equivariant action of BnB_{n} on VnV^{\otimes n}. We denote the action by

Φ:BnEndUq(𝔤𝔩(1|1))(Vn).\Phi:B_{n}\to End_{U_{q}(\mathfrak{gl}(1|1))}(V^{\otimes n}).

As explained above, this gives an action of BnB_{n} on each HkH_{k}. See Definition 2.4 for the definition of HkH_{k}. We denote this action by

:Bn×HkHk(σ,v)σv.\begin{split}\cdot:B_{n}\times H_{k}&\to H_{k}\\ (\sigma,v)&\to\sigma\cdot v.\\ \end{split}

It is easy to describe the action of BnB_{n} on H1H_{1} with respect to the basis {ei}1in1\left\{e_{i}\right\}_{1\leq i\leq n-1} as introduced in Example 2.6 via explicit calculations. We record it here for later convenience.

Lemma 3.1.

For each t{1,,n1}t\in\left\{1,...,n-1\right\}, we have

(3.3) σtej={qej+ej+1,if j=t1,q1ej,if j=t,ej1+qej,if j=t+1,qejotherwise, i.e. if j is not adjacent to t.\sigma_{t}\cdot e_{j}=\begin{cases}qe_{j}+e_{j+1},\quad\quad&\text{if }j=t-1,\\ -q^{-1}e_{j},\quad&\text{if }j=t,\\ e_{j-1}+qe_{j},\quad&\text{if }j=t+1,\\ qe_{j}\quad&\text{otherwise, i.e. if }$j$\text{ is not adjacent to }t.\\ \end{cases}
Proof.

It follows from direct calculation. For example, if j=t1j=t-1, then

σtet1=id(t1)Rˇid(nt1)(v0t2(q1v0v1v0¯v1v0v0¯)v0(nt1))=v0t2(q1v0v0v1¯qv1v0v0¯)v0(nt1)=v0t2(v0v1v0¯qv1v0v0¯+q1v0v0v1¯v0v1v0¯)v0(nt1)=qet1+et,\begin{split}\sigma_{t}\cdot e_{t-1}&=id^{\otimes(t-1)}\otimes\check{R}\otimes id^{\otimes(n-t-1)}(v_{0}^{\otimes t-2}\otimes(q^{-1}v_{0}\otimes\underline{v_{1}\otimes v_{0}}-v_{1}\otimes\underline{v_{0}\otimes v_{0}})\otimes v_{0}^{\otimes(n-t-1)})\\ &=v_{0}^{\otimes t-2}\otimes(q^{-1}v_{0}\otimes\underline{v_{0}\otimes v_{1}}-qv_{1}\otimes\underline{v_{0}\otimes v_{0}})\otimes v_{0}^{\otimes(n-t-1)}\\ &=v_{0}^{\otimes t-2}\otimes(v_{0}\otimes\underline{v_{1}\otimes v_{0}}-qv_{1}\otimes\underline{v_{0}\otimes v_{0}}+q^{-1}v_{0}\otimes\underline{v_{0}\otimes v_{1}}-v_{0}\otimes\underline{v_{1}\otimes v_{0}})\otimes v_{0}^{\otimes(n-t-1)}\\ &=qe_{t-1}+e_{t},\end{split}

where the underline indicates the ttth and (t+1)(t+1)th components of the tensor product. The rest cases are similar. ∎

Recall the isomorphism

ψk:kH1Hk\psi_{k}:\wedge^{k}H_{1}\to H_{k}

defined in Proposition 2.8. See in particular Equation 2.18 and 2.19. The main result of this section is the following proposition.

Proposition 3.2.

For any k=1,,n1k=1,...,n-1, any vkH1v\in\wedge^{k}H_{1} and each generator σtBn\sigma_{t}\in B_{n}, we have:

(3.4) ψk(σtv)=qk1σtψk(v),\psi_{k}(\sigma_{t}\cdot v)=q^{k-1}\sigma_{t}\cdot\psi_{k}(v),

where the action of σt\sigma_{t} on kH1\wedge^{k}H_{1} is the diagonal action of σt\sigma_{t} on each component of kH1\wedge^{k}H_{1}.

Proof.

By Proposition 2.7 and Proposition 2.8, it is enough to check the Equation 3.4 for vkH1v\in\wedge^{k}H_{1} of the form

{ψk1(ϕ(s))s𝒮k}.\left\{\psi_{k}^{-1}(\phi(s))\mid s\in\mathcal{S}_{k}\right\}.

Take an arbitrary s=(a1,b1,a2,b2,,bl,al+1)𝒮ks=(a_{1},b_{1},a_{2},b_{2},...,b_{l},a_{l+1})\in\mathcal{S}_{k}. Recall ϕ(s)\phi(s) defined in Definition 2.5,

ϕ(s)=v0a1E(v1b1)v0a2E(v1b2)E(v1bl)v0al+1,\phi(s)=v_{0}^{\otimes a_{1}}\otimes E(v_{1}^{\otimes b_{1}})\otimes v_{0}^{\otimes a_{2}}\otimes E(v_{1}^{\otimes b_{2}})\otimes...\otimes E(v_{1}^{\otimes b_{l}})\otimes v_{0}^{\otimes a_{l+1}},

eie_{i} as defined in Example 2.6, cjc_{j} as defined in Equation 2.15 and let v=ψk1(ϕ(s))=ei1eikv=\psi_{k}^{-1}(\phi(s))=e_{i_{1}}\wedge...\wedge e_{i_{k}} as defined in Equation 2.21.

Take some σtBn\sigma_{t}\in B_{n}. The proof will be divided into five cases depending on the position of tt relative to the positions that EE’s are applied to in ϕ(s)\phi(s). The calculation is straightforward, and the hardest part is to keep check of the indices.

  1. (1)

    If cj+bj<t<cj+1c_{j}+b_{j}<t<c_{j+1} for some jj, i.e., Rˇ\check{R} is applied to some components v0v0v_{0}\otimes v_{0} in ϕ(s)\phi(s).

    Using Equation 3.1, we get

    σtϕ(s)=qϕ(s)=qψk(v).\sigma_{t}\cdot\phi(s)=q\phi(s)=q\psi_{k}(v).

    On the other hand, none of the indices imi_{m} in v=ei1eikv=e_{i_{1}}\wedge...\wedge e_{i_{k}} equals t1t-1, tt or t+1t+1, by the condition cj+bj<t<cj+1c_{j}+b_{j}<t<c_{j+1} and Equation 2.21. Then apply Lemma 3.1, we get

    ψk(σtv)=ψk(σtei1σteik)=ψk(qei1qeik)=qkψk(v)=qk1σtψk(v),\psi_{k}(\sigma_{t}\cdot v)=\psi_{k}(\sigma_{t}\cdot e_{i_{1}}\wedge...\wedge\sigma_{t}\cdot e_{i_{k}})=\psi_{k}(qe_{i_{1}}\wedge...\wedge qe_{i_{k}})=q^{k}\psi_{k}(v)=q^{k-1}\sigma_{t}\cdot\psi_{k}(v),

    so the proposition holds in this case.

  2. (2)

    If cj<t<cj+bjc_{j}<t<c_{j}+b_{j} for some jj, i.e., Rˇ\check{R} is applied to the (tcj)(t-c_{j})th and (tcj+1)(t-c_{j}+1)th components in E(v1bj)E(v_{1}^{b_{j}}).

    Let m=tcjm=t-c_{j}. The effect of applying σt\sigma_{t} to ϕ(s)\phi(s) is the same as applying σm\sigma_{m} to the E(v1bj)E(v_{1}^{b_{j}})-tensor component. Note that

    σmE(v1bj)=r=0bj1(1)rq(bj1r)σm(v1rv0v1(bj1r))=(1)m1q(bjm)σm(v1(m1)(v0v1qv1v0)v1bjm)+0rbj1rm1,m(1)rq(bj1r)σm(v1rv0v1(bj1r))=(1)m1q(bjm)v1(m1)(v1v0+(qq1)v0v1qv0v1)v1bjmq10rbj1rm1,m(1)rq(bj1r)v1rv0v1(bj1r)=q1E(v1bj).\begin{split}\sigma_{m}\cdot E(v_{1}^{\otimes b_{j}})&=\sum_{r=0}^{b_{j}-1}(-1)^{r}q^{-(b_{j}-1-r)}\sigma_{m}\cdot(v_{1}^{\otimes r}\otimes v_{0}\otimes v_{1}^{\otimes(b_{j}-1-r)})\\ &=(-1)^{m-1}q^{-(b_{j}-m)}\sigma_{m}\cdot(v_{1}^{\otimes(m-1)}\otimes(v_{0}\otimes v_{1}-qv_{1}\otimes v_{0})\otimes v_{1}^{\otimes b_{j}-m})\\ &\qquad\qquad\qquad+\sum_{\begin{subarray}{c}0\leq r\leq b_{j}-1\\ r\neq m-1,m\end{subarray}}(-1)^{r}q^{-(b_{j}-1-r)}\sigma_{m}\cdot(v_{1}^{\otimes r}\otimes v_{0}\otimes v_{1}^{\otimes(b_{j}-1-r)})\\ &=(-1)^{m-1}q^{-(b_{j}-m)}v_{1}^{\otimes(m-1)}\otimes(v_{1}\otimes v_{0}+(q-q^{-1})v_{0}\otimes v_{1}-qv_{0}\otimes v_{1})\otimes v_{1}^{\otimes b_{j}-m}\\ &\qquad\qquad\qquad-q^{-1}\sum_{\begin{subarray}{c}0\leq r\leq b_{j}-1\\ r\neq m-1,m\end{subarray}}(-1)^{r}q^{-(b_{j}-1-r)}v_{1}^{\otimes r}\otimes v_{0}\otimes v_{1}^{\otimes(b_{j}-1-r)}\\ &=-q^{-1}E(v_{1}^{\otimes b_{j}}).\end{split}

    Therefore

    σtϕ(s)=q1ϕ(s)=q1ψk(v).\sigma_{t}\cdot\phi(s)=-q^{-1}\phi(s)=-q^{-1}\psi_{k}(v).

    On the other hand, there exists some index ipi_{p} in v=ei1eikv=e_{i_{1}}\wedge...\wedge e_{i_{k}} which equals tt, by Equation 2.21. The action of σt\sigma_{t} sends eipe_{i_{p}} to q1eip-q^{-1}e_{i_{p}}. Now for indices except ip1,ip,ip+1i_{p-1},i_{p},i_{p+1}, they can’t be equal to t1,tt-1,t or t+1t+1, and σt\sigma_{t} acts on them by multiplication by qq. For eip1e_{i_{p-1}}, we have

    σteip1={qeip1+eip,if ipip1=1,qeip1,otherwise.\sigma_{t}\cdot e_{i_{p-1}}=\begin{cases}qe_{i_{p-1}}+e_{i_{p}},&\quad\quad\text{if }i_{p}-i_{p-1}=1,\\ qe_{i_{p-1}},&\quad\quad\text{otherwise.}\end{cases}

    For eip+1e_{i_{p+1}}, we have

    σteip+1={qeip+1+eip,if ip+1ip=1,qeip+1,otherwise.\sigma_{t}\cdot e_{i_{p+1}}=\begin{cases}qe_{i_{p+1}}+e_{i_{p}},&\quad\quad\text{if }i_{p+1}-i_{p}=1,\\ qe_{i_{p+1}},&\quad\quad\text{otherwise.}\end{cases}

    From this, we get

    σteip1σteipσteip+1=qeip1q1eipqeip+1.\sigma_{t}\cdot e_{i_{p-1}}\wedge\sigma_{t}\cdot e_{i_{p}}\wedge\sigma_{t}\cdot e_{i_{p+1}}=-qe_{i_{p-1}}\wedge q^{-1}e_{i_{p}}\wedge qe_{i_{p+1}}.

    Therefore,

    ψk(σtv)=ψk(σtei1σteik)=qk2ψk(v)=qk1σtψk(v),\psi_{k}(\sigma_{t}\cdot v)=\psi_{k}(\sigma_{t}\cdot e_{i_{1}}\wedge...\wedge\sigma_{t}\cdot e_{i_{k}})=-q^{k-2}\psi_{k}(v)=q^{k-1}\sigma_{t}\cdot\psi_{k}(v),

    and the proposition holds in this case.

  3. (3)

    If t=cjt=c_{j} for some jj, and aj0a_{j}\neq 0, i.e., Rˇ\check{R} is applied to the first two components of v0E(v1bj)v_{0}\otimes E(v_{1}^{\otimes b_{j}}). Note that

    Rˇ1,2(v0E(v1bj))=r=0bj1(1)rq(bj1r)Rˇ1,2(v0v1rv0v1bj1r)=qbj+2v0v0v1(bj1)+r=1bj1(1)rq(bj1r)v1v0v1(r1)v0v1(bj1r)+r=1bj1(1)rq(bj1r)(qq1)v0v1rv0v1(bj1r)=qv0E(v1bj)+(q1v0v1v1v0)r=1bj1(1)r1q(bj1r)v1(r1)v0v1(bj1r)=qv0E(v1bj)+E(v12)E(v1(bj1)).\begin{split}\check{R}_{1,2}(v_{0}\otimes E(v_{1}^{\otimes b_{j}}))&=\sum_{r=0}^{b_{j}-1}(-1)^{r}q^{-(b_{j}-1-r)}\check{R}_{1,2}(v_{0}\otimes v_{1}^{\otimes r}\otimes v_{0}\otimes v_{1}^{\otimes b_{j}-1-r})\\ &=q^{-b_{j}+2}v_{0}\otimes v_{0}\otimes v_{1}^{\otimes(b_{j}-1)}+\sum_{r=1}^{b_{j}-1}(-1)^{r}q^{-(b_{j}-1-r)}v_{1}\otimes v_{0}\otimes v_{1}^{\otimes(r-1)}\otimes v_{0}\otimes v_{1}^{\otimes(b_{j}-1-r)}\\ &\quad\quad\quad\quad+\sum_{r=1}^{b_{j}-1}(-1)^{r}q^{-(b_{j}-1-r)}(q-q^{-1})v_{0}\otimes v_{1}^{\otimes r}\otimes v_{0}\otimes v_{1}^{\otimes(b_{j}-1-r)}\\ &=qv_{0}\otimes E(v_{1}^{\otimes b_{j}})+(q^{-1}v_{0}\otimes v_{1}-v_{1}\otimes v_{0})\otimes\sum_{r=1}^{b_{j}-1}(-1)^{r-1}q^{-(b_{j}-1-r)}v_{1}^{\otimes(r-1)}\otimes v_{0}\otimes v_{1}^{\otimes(b_{j}-1-r)}\\ &=qv_{0}\otimes E(v_{1}^{\otimes b_{j}})+E(v_{1}^{\otimes 2})\otimes E(v_{1}^{\otimes(b_{j}-1)}).\end{split}

    We can define a new string ss^{\prime} as follows.

    1. (a)

      If bj>2b_{j}>2, let s=(a1,b1,,bl+1,al+2)s^{\prime}=(a^{\prime}_{1},b^{\prime}_{1},...,b^{\prime}_{l+1},a^{\prime}_{l+2}) such that

      ai=ai,bi=bi, for i<j,aj=aj1,bj=2,aj+1=0,bj+1=bj1,ai=ai1,bi=bi1, for i>j+1.\begin{split}&a^{\prime}_{i}=a_{i},b^{\prime}_{i}=b_{i},\text{ for }i<j,\\ &a^{\prime}_{j}=a_{j}-1,\,b^{\prime}_{j}=2,\,a^{\prime}_{j+1}=0,\,b^{\prime}_{j+1}=b_{j}-1,\\ &a^{\prime}_{i}=a_{i-1},\,b^{\prime}_{i}=b_{i-1},\text{ for }i>j+1.\end{split}

      In words, we obtain ss^{\prime} from ss by inserting a string (2,0)(2,0) between aja_{j} and bjb_{j} in ss, then changing aja_{j} to aj=aj1a^{\prime}_{j}=a_{j}-1 and bjb_{j} to bj=bj1b^{\prime}_{j}=b_{j}-1.

    2. (b)

      If bj=2b_{j}=2, let s=(a1,b1,,bl,al+1)s^{\prime}=(a^{\prime}_{1},b^{\prime}_{1},...,b^{\prime}_{l},a^{\prime}_{l+1}) such that

      ai=ai,bi=bi, for i<j,aj=aj1,bj=2=bj,aj+1=aj+1+1,bj+1=bj+1,ai=ai,bi=bi, for i>j+1.\begin{split}&a^{\prime}_{i}=a_{i},b^{\prime}_{i}=b_{i},\text{ for }i<j,\\ &a^{\prime}_{j}=a_{j}-1,\,b^{\prime}_{j}=2=b_{j},\,a^{\prime}_{j+1}=a_{j+1}+1,\,b^{\prime}_{j+1}=b^{\prime}_{j+1},\\ &a^{\prime}_{i}=a_{i},b^{\prime}_{i}=b_{i},\text{ for }i>j+1.\end{split}

      In words, we change aja_{j} to aj=aj1a^{\prime}_{j}=a_{j}-1, and aj+1a_{j+1} to aj+1=aj+1+1a^{\prime}_{j+1}=a_{j+1}+1.

    Then it follows from the above calculation that

    σtϕ(s)=qϕ(s)+ϕ(s).\sigma_{t}\cdot\phi(s)=q\phi(s)+\phi(s^{\prime}).

    On the other hand, by Equation 2.21, there exists some index ipi_{p} in v=ei1eikv=e_{i_{1}}\wedge...\wedge e_{i_{k}} which is equal to t+1t+1, and ip1<t1i_{p-1}<t-1 as aj0a_{j}\neq 0. So all the indices except ipi_{p} are not equal to t1,tt-1,t or t+1t+1. Hence,

    ψk(σtv)=ψk(σtei1σteik)=ψk(qei1(eip1+qeip)qeik)=qk1(qψk(v)+ψk(v)),\begin{split}\psi_{k}(\sigma_{t}\cdot v)&=\psi_{k}(\sigma_{t}\cdot e_{i_{1}}\wedge...\wedge\sigma_{t}\cdot e_{i_{k}})\\ &=\psi_{k}(qe_{i_{1}}\wedge...\wedge(e_{i_{p}-1}+qe_{i_{p}})\wedge...\wedge qe_{i_{k}})\\ &=q^{k-1}(q\psi_{k}(v)+\psi_{k}(v^{\prime})),\end{split}

    where v=ei1eikv^{\prime}=e_{i^{\prime}_{1}}\wedge...\wedge e_{i^{\prime}_{k}} is obtained from vv by changing ip=ip1i^{\prime}_{p}=i_{p}-1 and keeping all the other indices the same. It follows from Equation 2.21 that ϕ(s)=ψk(v)\phi(s^{\prime})=\psi_{k}(v^{\prime}), hence

    ψk(σtv)=qk1(qψk(v)+ψk(v))=qk1(qϕ(s)+ϕ(s))=qk1σtψk(v),\psi_{k}(\sigma_{t}\cdot v)=q^{k-1}(q\psi_{k}(v)+\psi_{k}(v^{\prime}))=q^{k-1}(q\phi(s)+\phi(s^{\prime}))=q^{k-1}\sigma_{t}\cdot\psi_{k}(v),

    and the proposition holds in this case.

  4. (4)

    If t=cj+bjt=c_{j}+b_{j} for some jj, and aj+10a_{j+1}\neq 0, i.e., Rˇ\check{R} is applied to the last two components of E(v1bj)v0E(v_{1}^{\otimes b_{j}})\otimes v_{0}.

    The computation is similar to the one in Case (3), and we leave it for the reader.

  5. (5)

    If t=cj+1t=c_{j+1} for some jj, and aj+1=0a_{j+1}=0. This is the same as t=cj+bjt=c_{j}+b_{j} and aj+1=0a_{j+1}=0. In this case, Rˇ\check{R} is applied to the bjb_{j}th and (bj+1)(b_{j}+1)th components of E(v1bj)E(v1bj+1)E(v_{1}^{\otimes b_{j}})\otimes E(v_{1}^{\otimes b_{j+1}}).

    The computation could be carried out in a similar manner as in Case (3), and one gets

    σbj(E(v1bj)E(v1bj+1))=qE(v1bj)E(v1bj+1)+E(v1(bj+1))E(v1(bj+11))+E(v1(bj1))E(v1(bj+1+1)).\begin{split}\sigma_{b_{j}}\cdot\left(E(v_{1}^{\otimes b_{j}})\otimes E(v_{1}^{\otimes b_{j+1}})\right)&=qE(v_{1}^{\otimes b_{j}})\otimes E(v_{1}^{\otimes b_{j+1}})\\ &\quad\quad+E(v_{1}^{\otimes(b_{j}+1)})\otimes E(v_{1}^{\otimes(b_{j+1}-1)})+E(v_{1}^{\otimes(b_{j}-1)})\otimes E(v_{1}^{\otimes(b_{j+1}+1)}).\\ \end{split}

    So

    σtϕ(s)=qϕ(s)+ϕ(s)+ϕ(s′′).\sigma_{t}\cdot\phi(s)=q\phi(s)+\phi(s^{\prime})+\phi(s^{\prime\prime}).

    Here ss^{\prime} is obtained from ss by the followings rules depending on whether bj+1=2b_{j+1}=2 or not.

    1. (a)

      If bj+1>2b_{j+1}>2, then we change bjb_{j} to bj=bj+1b^{\prime}_{j}=b_{j}+1, and bj+1b_{j+1} to bj+1=bj+11b^{\prime}_{j+1}=b_{j+1}-1.

    2. (b)

      If bj+1=2b_{j+1}=2, then we change bjb_{j} to bj=bj+1b^{\prime}_{j}=b_{j}+1, aj+1a_{j+1} to aj+1=aj+2+1a^{\prime}_{j+1}=a_{j+2}+1, bj+1b_{j+1} to bj+1=bj+2b^{\prime}_{j+1}=b_{j+2}, and letting ai=ai+1a^{\prime}_{i}=a_{i+1}, bi=bi+1b^{\prime}_{i}=b_{i+1} for i>j+1i>j+1. In words, we delete aj+1,bj+1a_{j+1},b_{j+1} from ss and add 11 to each of bjb_{j} and aj+2a_{j+2}.

    The string s′′s^{\prime\prime} is defined similarly, by switching the roles of bjb_{j} and bj+1b_{j+1}.

    On the other hand, there exists indices ipi_{p} and ip+1i_{p+1} in v=ei1eikv=e_{i_{1}}\wedge...\wedge e_{i_{k}}, such that

    ip=t1,ip+1=t+1,i_{p}=t-1,\quad i_{p+1}=t+1,

    by the conditions t=cj+1=cj+bjt=c_{j+1}=c_{j}+b_{j} and Equation 2.21. All the other indices are not equal to t1,tt-1,t or t+1t+1. Hence,

    ψk(σtv)=ψk(σtei1σteik)=ψk(qei1(qeip+eip+1)(eip+11+qeip+1)qeik)=qk1(qψk(v)+ψk(v)+ψk(v′′)),\begin{split}\psi_{k}(\sigma_{t}\cdot v)&=\psi_{k}(\sigma_{t}\cdot e_{i_{1}}\wedge...\wedge\sigma_{t}\cdot e_{i_{k}})\\ &=\psi_{k}(qe_{i_{1}}\wedge...\wedge(qe_{i_{p}}+e_{i_{p}+1})\wedge(e_{i_{p+1}-1}+qe_{i_{p+1}})\wedge...\wedge qe_{i_{k}})\\ &=q^{k-1}(q\psi_{k}(v)+\psi_{k}(v^{\prime})+\psi_{k}(v^{\prime\prime})),\end{split}

    where vv^{\prime} is obtained from vv by changing ip+1=t+1i_{p+1}=t+1 to ip+11=ti_{p+1}-1=t, and v′′v^{\prime\prime} is obtained from vv by changing ip=t1i_{p}=t-1 to ip+1=ti_{p}+1=t. Note that by Equation 2.21,

    ψk(v)=ϕ(s),ψk(v′′)=ϕ(s′′).\psi_{k}(v^{\prime})=\phi(s^{\prime}),\quad\psi_{k}(v^{\prime\prime})=\phi(s^{\prime\prime}).

    Therefore the proposition holds in this case.

4. The effect of adding twists to Alexander polynomials

In this section, we study the effect of adding full twists along nn-positively oriented parallel strands to the Alexander polynomial. By the analysis in the previous section, especially Proposition 3.2, we can compute the action of BnB_{n} on VnV^{\otimes n} in terms of the action of BnB_{n} on H1H_{1}. For the full twist τBn\tau\in B_{n}, we will see the action of it on H1H_{1} is a scalar multiplication by some power of qq. Hence, τ\tau acts on VnV^{\otimes n} by scalar multiplications of different powers of qq on different highest weight subrepresentations of VnV^{\otimes n}. See Proposition 4.3 for the explicit statement.

Let πk\pi_{k} denote the projection of VnV^{\otimes n} to the highest weight subrepresentation with weight (nk)ϵ1+kϵ2(n-k)\epsilon_{1}+k\epsilon_{2}, then from the previous analysis we can express each πk\pi_{k} as a (q)\mathbb{C}(q)-linear combination of Φ(τ0),Φ(τ1),,\Phi(\tau^{0}),\Phi(\tau^{1}),..., Φ(τn1)\Phi(\tau^{n-1}). Therefore, we can express Φ(τm)\Phi(\tau^{m}) for any mm\in\mathbb{N} using Φ(τ0),Φ(τ1),,Φ(τn1)\Phi(\tau^{0}),\Phi(\tau^{1}),...,\Phi(\tau^{n-1}). By the description of the Alexander polynomials in terms of Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-equivariant maps, we get a similar result for Alexander polynomials. See Proposition 4.7. We explore some implication of this expression on the stabilization behavior of the Alexander polynomials when we insert enough full twists in Proposition 4.10.

We begin with some definitions. Recall the decomposition

Vnk=0n1(n1k)L((nk)ϵ1+kϵ2)V^{\otimes n}\cong\bigoplus^{n-1}_{k=0}{{n-1}\choose{k}}L\big{(}(n-k)\epsilon_{1}+k\epsilon_{2}\big{)}

in Lemma 2.7, and the subspace HkH_{k} of highest weight vectors with weight (nk)ϵ1+kϵ2(n-k)\epsilon_{1}+k\epsilon_{2} in Definition 2.4

Definition 4.1.

For each k{0,1,,n1}k\in\{0,1,...,n-1\}, denote the subspace of highest weight subrepresentation with weight (nk)ϵ1+kϵ2(n-k)\epsilon_{1}+k\epsilon_{2} by WkW_{k}, i.e.,

Wk=HkF(Hk).W_{k}=H_{k}\oplus F(H_{k}).

Define πk:VnVn\pi_{k}:V^{\otimes n}\to V^{\otimes n} as the Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-equivariant projection from VnV^{\otimes n} to the subspace WkW_{k}.

Note that WkL((nk)ϵ1+kϵ2)(n1k)W_{k}\cong L((n-k)\epsilon_{1}+k\epsilon_{2})^{\oplus{{n-1}\choose{k}}}, as HkH_{k} is the space of highest weight vectors of weight
(nk)ϵ1+kϵ2(n-k)\epsilon_{1}+k\epsilon_{2}, and each copy of L((nk)ϵ1+kϵ2)L((n-k)\epsilon_{1}+k\epsilon_{2}) is spanned by {v0(nk)ϵ1+kϵ2,F(v0(nk)ϵ1+kϵ2)}\{v_{0}^{(n-k)\epsilon_{1}+k\epsilon_{2}},F(v_{0}^{(n-k)\epsilon_{1}+k\epsilon_{2}})\}. Therefore,

Vnk=0n1Wk,andidVn=k=0n1πk.V^{\otimes n}\cong\bigoplus_{k=0}^{n-1}W_{k},\quad\text{and}\quad\quad id_{V^{\otimes n}}=\sum_{k=0}^{n-1}\pi_{k}.
Definition 4.2.

Define λ=σn1σn2σ1Bm\lambda=\sigma_{n-1}\sigma_{n-2}...\sigma_{1}\in B_{m}, and let τ=λn\tau=\lambda^{n}, which is the braid representing the full twist on nn-strands. Denote the induced endomorphisms of λ,τ\lambda,\tau on VnV^{\otimes n} by Φ(λ),Φ(τ)\Phi(\lambda),\Phi(\tau) respectively.

Since the action of BnB_{n} on VnV^{\otimes n} is Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-equivariant, it restricts to an action on WkW_{k} for each kk. We will prove that the restriction Φ(τ)|Wk\Phi(\tau)|_{W_{k}} acts by a scalar multiplication on each WkW_{k}.

Proposition 4.3.

For each k{0,1,,n1}k\in\{0,1,...,n-1\}, we have

Φ(τ)|Wk=qn(n12k)idWk.\Phi(\tau)|_{W_{k}}=q^{n(n-1-2k)}id_{W_{k}}.
Proof.

Since Hk=ker(E)H_{k}=\ker(E), F(Hk)=ker(F)F(H_{k})=\ker(F) for E,F:WkWkE,F:W_{k}\to W_{k} respectively, and Φ(τ)|Wk\Phi(\tau)|_{W_{k}} commutes with E,FE,F, the map Φ(τ)|Wk\Phi(\tau)|_{W_{k}} could be written as

Φ(τ)|Wk=Φ(τ)|HkΦ(τ)|F(Hk).\Phi(\tau)|_{W_{k}}=\Phi(\tau)|_{H_{k}}\oplus\Phi(\tau)|_{F(H_{k})}.

It is enough to check that Φ(τ)|Hk=qn(n12k)idHk,\Phi(\tau)|_{H_{k}}=q^{n(n-1-2k)}id_{H_{k}}, as Φ(τ)|Wk\Phi(\tau)|_{W_{k}} commutes with FF.

When k=0k=0, H0H_{0} is spanned by v0nv_{0}^{\otimes n}. By Equation 3.1, we have

σtv0n=qv0n,\sigma_{t}\cdot v_{0}^{\otimes n}=qv_{0}^{\otimes n},

for t{1,,n1}t\in\left\{1,...,n-1\right\}. So

τv0n=qn(n1)v0n,\tau\cdot v_{0}^{\otimes n}=q^{n(n-1)}v_{0}^{\otimes n},

and the proposition holds for k=0k=0.

When k=1k=1, a basis {eii=1,,n1}\left\{e_{i}\mid i=1,...,n-1\right\} of H1H_{1} is given by Example 2.6. We know the action of σt\sigma_{t} on eie_{i} for any pair (t,i)(t,i), as described in Lemma 3.1. It is then straightforward to compute that

(4.1) λe1=j=1n1qn2jej,andλei=qn2ei1,for i=2,,n1.\begin{split}&\lambda\cdot e_{1}=\sum_{j=1}^{n-1}-q^{n-2-j}e_{j},\quad\text{and}\\ &\lambda\cdot e_{i}=q^{n-2}e_{i-1},\quad\text{for }i=2,...,n-1.\end{split}

Let AA be the (n1)×(n1)(n-1)\times(n-1) matrix representing Φ(λ)|H1\Phi(\lambda)|_{H_{1}}, then AA is diagonalizable over (q)\mathbb{C}(q), with n1n-1 distinct eigenvalues {e2jπi/nqn3j=1,,n1}.\left\{e^{2j\pi i/n}q^{n-3}\mid j=1,...,n-1\right\}. Hence the matrix AnA^{n} which represents Φ(τ)|Hk\Phi(\tau)|_{H_{k}} is a diagonal matrix with every diagonal entry equal to qn(n3)q^{n(n-3)}. Therefore,

Φ(τ)|H1=qn(n3)idH1,\Phi(\tau)|_{H_{1}}=q^{n(n-3)}id_{H_{1}},

and the proposition holds for k=1k=1.

When 2kn12\leq k\leq n-1, we use the previous calculation in the case k=1k=1 and Proposition 3.2. Proposition 3.2 says that for each generator σtBn\sigma_{t}\in B_{n}, and every v=ei1eikkH1v=e_{i_{1}}\wedge...\wedge e_{i_{k}}\in\wedge^{k}H_{1}, we have

ψk(σtv)=qk1σtψk(v),\psi_{k}(\sigma_{t}\cdot v)=q^{k-1}\sigma_{t}\cdot\psi_{k}(v),

so

ψk(τv)=q(k1)n(n1)τψk(v),\psi_{k}(\tau\cdot v)=q^{(k-1)n(n-1)}\tau\cdot\psi_{k}(v),

as τ\tau is the product of n(n1)n(n-1)-many elements of the form σt\sigma_{t} in BnB_{n}.

By the calculation in the case when k=1k=1, we get that

ψk(τv)=ψk(τei1τeik)=qkn(n3)ψk(v),\psi_{k}(\tau\cdot v)=\psi_{k}(\tau\cdot e_{i_{1}}\wedge...\wedge\tau\cdot e_{i_{k}})=q^{kn(n-3)}\psi_{k}(v),

so

(4.2) τψk(v)=q(k1)n(n1)ψk(τv)=qn(n12k)ψk(v),for any vkH1.\tau\cdot\psi_{k}(v)=q^{-(k-1)n(n-1)}\psi_{k}(\tau\cdot v)=q^{n(n-1-2k)}\psi_{k}(v),\,\,\,\text{for any }v\in\wedge^{k}H_{1}.

Since ψk:kH1Hk\psi_{k}:\wedge^{k}H_{1}\to H_{k} is an isomorphism, we get

Φ(τ)|Hk=qn(n12k)idHk,\Phi(\tau)|_{H_{k}}=q^{n(n-1-2k)}id_{H_{k}},

for 2kn12\leq k\leq n-1 as required. ∎

An immediate corollary of this proposition is

Corollary 4.4.

We can write Φ(τ):VnVn\Phi(\tau):V^{\otimes n}\to V^{\otimes n} as a [q,q1]\mathbb{C}[q,q^{-1}]-linear combination of πk\pi_{k}, i.e.,

(4.3) Φ(τ)=k=0n1qn(n12k)πk.\Phi(\tau)=\sum_{k=0}^{n-1}q^{n(n-1-2k)}\pi_{k}.

Now the task is to represent the projection maps {πkk=0,,n1}\{\pi_{k}\mid k=0,...,n-1\} in terms of linear combinations of powers of Φ(τ)\Phi(\tau), which could be done easily by solving a linear system of equations. This linear system is guaranteed to be invertible by the non-vanishing of the Vandermonde determinant.

Definition 4.5.

Foe each n2n\geq 2, define B(n)B(n) as the n×nn\times n matrix by

(4.4) B(n)ij=q(i1)n(n12(j1)).B(n)_{ij}=q^{(i-1)n(n-1-2(j-1))}.

Since B(n)B(n) is a Vandermonde matrix, it is invertible. Let C(n)C(n) denote the inverse matrix of B(n)B(n).

Note that while each entry B(n)i,jB(n)_{i,j} is a Laurent polynomial in qq, each entry C(n)i,jC(n)_{i,j} is a rational function in qq instead, as we divide out the determinant of B(n)B(n) when inverting the matrix.

Let τ=(Φ(τ0),Φ(τ1),,Φ(τn1))\overrightarrow{\tau}=(\Phi(\tau^{0}),\Phi(\tau^{1}),...,\Phi(\tau^{n-1}))^{\intercal}, π=(π0,π1,,πn1)\overrightarrow{\pi}=(\pi_{0},\pi_{1},...,\pi_{n-1})^{\intercal}, where Φ(τ0)=idVn\Phi(\tau^{0})=id_{V^{\otimes n}}. By Corollary 4.3,

τ=B(n)π,\overrightarrow{\tau}=B(n)\overrightarrow{\pi},

so

π=C(n)τ,\overrightarrow{\pi}=C(n)\overrightarrow{\tau},

and we can express Φ(τm)\Phi(\tau^{m}) for any m0m\geq 0 as a (q)\mathbb{C}(q)-linear combination of Φ(τ0),,Φ(τn1)\Phi(\tau^{0}),...,\Phi(\tau^{n-1}).

Proposition 4.6.

For any m0m\geq 0, we have

(4.5) Φ(τm)=i=0n1j=0n1qmn(n12i)C(n)i+1,j+1Φ(τj),\Phi(\tau^{m})=\sum_{i=0}^{n-1}\sum_{j=0}^{n-1}q^{mn(n-1-2i)}C(n)_{i+1,j+1}\Phi(\tau^{j}),

where C(n)C(n) is defined in Definition 4.5. In particular, C(n)C(n) only depends on nn.

Proof.

It follows directly from Corollary 4.3. ∎

Let LL be an oriented link. Recall the Alexander polynomial Δ(L)\Delta(L) could be obtained as follows. Cutting LL along a strand to get a 11-11 tangle. This tangle gives a Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-equivariant map on VV, which is a scalar multiplication of the identity. Denote this scalar by Q^(L)\hat{Q}(L). Then

Δ(L)=Q^(L)q=t1/2.\Delta(L)=\hat{Q}(L)\mid_{q=t^{1/2}}.

See [Sar15, Section 4] for details.

Let LL be an oriented link with some specific link diagram, such that some part of the link diagram consists of nn-parallel strands of the same orientation. Let \mathcal{L} denote this particular link diagram with this choice of nn-parallel strands. For m1m\geq 1, let m\mathcal{L}_{m} denote the oriented link obtained by adding mm-full twists along the chosen nn-parallel strands. Denote 0=L\mathcal{L}_{0}=L. From the above calculation on the τm:VnVn\tau^{m}:V^{\otimes n}\to V^{\otimes n}, and the expression of the Alexander polynomial as a Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-invariant, we get a similar relation on the Alexander polynomials of m\mathcal{L}_{m} with the Alexander polynomials of 0,,n1\mathcal{L}_{0},...,\mathcal{L}_{n-1}.

Proposition 4.7.

For any m0m\geq 0, we have

(4.6) Δ(m)=i=0n1j=0n1tmn(n12i)/2C(n)i+1,j+1|q=t1/2Δ(j).\Delta(\mathcal{L}_{m})=\sum_{i=0}^{n-1}\sum_{j=0}^{n-1}t^{mn(n-1-2i)/2}C(n)_{i+1,j+1}|_{q=t^{1/2}}\Delta(\mathcal{L}_{j}).
Proof.

It follows from Proposition 4.5 and the expression of Alexander polynomials as a Uq(𝔤𝔩(1|1))U_{q}(\mathfrak{gl}(1|1))-quantum invariant. ∎

This expression doesn’t look so useful at first glance. In particular, C(n)ijC(n)_{ij} is not a Laurent polynomial, as it has the set(B(n))set(B(n)) as its denominator. However, as all the Alexander polynomials are Laurent polynomials in tt, the coefficient before each Δ(j)\Delta(\mathcal{L}_{j}) in the expression (4.6)(\ref{eq:alex poly}) is a Laurent polynomial as well. We give them a name for the convenience of later discussion.

Definition 4.8.

For each pair (m,j)(m,j) with m0m\geq 0 and 0jn10\leq j\leq n-1, define the Laurent polynomial fm,j,n(t)f_{m,j,n}(t) by

fm,j,n(t)=i=0n1tmn(n12i)/2C(n)i+1,j+1|q=t1/2.f_{m,j,n}(t)=\sum_{i=0}^{n-1}t^{mn(n-1-2i)/2}C(n)_{i+1,j+1}|_{q=t^{1/2}}.

With fm,j,n(t)f_{m,j,n}(t), we can write the Alexander polynomial Δ(m)\Delta(\mathcal{L}_{m}) as

(4.7) Δ(m)=j=0n1fm,j,n(t)Δ(j).\Delta(\mathcal{L}_{m})=\sum_{j=0}^{n-1}f_{m,j,n}(t)\Delta(\mathcal{L}_{j}).

Note that the coefficients fm,j,n(t)f_{m,j,n}(t) are determined by m,j,nm,j,n and don’t depend on the specific link LL.

As mm\to\infty, we have the following stabilization results of the expressions fm,j,nf_{m,j,n}.

Lemma 4.9.

The coefficients fm,j,n(t)f_{m,j,n}(t) stabilize in the following sense as mm\to\infty:

There exists a Laurent series gj,n(t)g_{j,n}(t) with finitely many terms of negative degree in tt, such that for any kk\in\mathbb{N}, there exists NN\in\mathbb{N}, where for any mNm\geq N, the first kk of fm,j,n(t)f_{m,j,n}(t) terms in the increasing order of powers of tt equal the first kk terms of

tmn(n1)/2gj,n(t).t^{-mn(n-1)/2}g_{j,n}(t).
Proof.

It follows from the expression of of fm,j,n(t)f_{m,j,n}(t). We formally invert the denominator of C(n)C(n) as a Laurent series with finitely many terms of negative degree in tt. Since C(n)C(n) is some fixed matrix which only depends on nn, for large enough mm, the term with lowest degree of tt in the expression

i=0n2tmn(n12i)/2C(n)i+1,j+1|q=t1/2,\sum_{i=0}^{n-2}t^{mn(n-1-2i)/2}C(n)_{i+1,j+1}|_{q=t^{1/2}},

is tmn(3n)/2+k1t^{mn(3-n)/2+k_{1}} for some constant k1k_{1}, which is obtained when i=n2i=n-2, and k1k_{1} comes from the contribution of C(n)C(n).

On the other hand, the lowest power of tt in fL,m,j(t)f_{L,m,j}(t) is tmn(1n)/2+k2t^{mn(1-n)/2+k_{2}} for some constant k2k_{2}, where k2k_{2} again comes from the contribution of C(n)C(n). The difference in the powers is mn+k1k2mn+k_{1}-k_{2}, which goes to infinity as mm\to\infty. Therefore, for mm large enough (since there are only finitely many jj, we can pick mm large enough such that the following holds for every jj), the first kk terms of fm,j,n(t)f_{m,j,n}(t) are the same as the first kk terms of

tmn(n1)/2C(n)n,j+1|q=t1/2.t^{-mn(n-1)/2}C(n)_{n,j+1}|_{q=t^{1/2}}.

Then

gj,n(t):=C(n)n,j+1|q=t1/2g_{j,n}(t):=C(n)_{n,j+1}|_{q=t^{1/2}}

satisfies the requirement of the lemma. From explicit formula of C(n)n,j+1C(n)_{n,j+1}, we see gj,n(t)g_{j,n}(t) is a non-zero Laurent series. ∎

Because of Equation 4.7, and that all the Alexander polynomials Δ(j)\Delta(\mathcal{L}_{j}) for j{0,1,,n1}j\in\{0,1,...,n-1\} are Laurent polynomials of finite degree, we have similar stabilization results as in Lemma 4.9 for the Alexander polynomial Δ(m)\Delta(\mathcal{L}_{m}) as mm\to\infty. The difference is that the limiting Laurent series obtained in this way might vanish, in which case we switch to the next leading Laurent series, until we reach a non-vanishing one. This explains the appearance of rr in the next proposition.

Proposition 4.10.

The Alexander polynomials Δ(m)\Delta(\mathcal{L}_{m}) stabilizes as mm\to\infty in the following sense:

There exists a Laurent series h(t)h_{\mathcal{L}}(t) with finitely many terms of negative degree in tt, and some integer r[n12,n1]r\in\left[\frac{n-1}{2},n-1\right], such that for any kk\in\mathbb{N}, there exists NN\in\mathbb{N} where for any mNm\geq N, the first kk terms in the increasing order of degree of tt of Δ(m)\Delta(\mathcal{L}_{m}) agree with the first kk terms of

tmn(n12r)/2h(t).t^{mn(n-1-2r)/2}h_{\mathcal{L}}(t).
Proof.

It follows from Proposition 4.7 and Lemma 4.9. The Laurent series h(t)h_{\mathcal{L}}(t) is given by

(4.8) j=0n1C(n)n,j+1|q=t1/2Δ(j),\sum_{j=0}^{n-1}C(n)_{n,j+1}|_{q=t^{1/2}}\Delta(\mathcal{L}_{j}),

and r=n1r=n-1, given that this Laurent series does not vanish. If it vanishes, then by a similar argument as in Lemma 4.9, the first kk terms of Δ(m)\Delta(\mathcal{L}_{m}) are the same as the first kk terms of

tmn(n+3)/2j=0n1C(n)n1,j+1|q=t1/2Δ(j):=tmn(n+3)/2hn2,(t),t^{mn(-n+3)/2}\sum_{j=0}^{n-1}C(n)_{n-1,j+1}|_{q=t^{1/2}}\Delta(\mathcal{L}_{j}):=t^{mn(-n+3)/2}h_{n-2,\mathcal{L}}(t),

given that hn2,(t)h_{n-2,\mathcal{L}}(t) doesn’t vanish.

In general, let

hr,(t):=j=0n1C(n)r+1,j+1|q=t1/2Δ(j).h_{r,\mathcal{L}}(t):=\sum_{j=0}^{n-1}C(n)_{r+1,j+1}|_{q=t^{1/2}}\Delta(\mathcal{L}_{j}).

If hr,(t)h_{r,\mathcal{L}}(t) doesn’t vanish, while hr+1,(t)h_{r+1,\mathcal{L}}(t), hr+2,(t),,hn1,(t)h_{r+2,\mathcal{L}}(t),...,h_{n-1,\mathcal{L}}(t) all vanish, then the first kk terms of Δ(m)\Delta(\mathcal{L}_{m}) are the same as the first kk terms of

tmn(n12r)/2hr,(t).t^{mn(n-1-2r)/2}h_{r,\mathcal{L}}(t).

This is the integer rr as stated in the proposition, and h(t)=hr,(t).h_{\mathcal{L}}(t)=h_{r,\mathcal{L}}(t). If hr,(t)h_{r},\mathcal{L}(t) vanishes for all integers r[n12,n1]r\in[\frac{n-1}{2},n-1] (note by the symmetry of the Alexander polynomials, it is enough for to assume this holds for rn12r\geq\frac{n-1}{2}), then Δ(m)\Delta(\mathcal{L}_{m}) also vanishes for each mm, and the statement trivially holds. ∎

Remark.

By the symmetry of the Alexander polynomial, we get similar stabilization results for the last few terms of Δ(m)\Delta(\mathcal{L}_{m}) as well.

Remark.

Since the Laurent series h(t)h_{\mathcal{L}}(t) is defined as some (q)\mathbb{C}(q)-linear combinations of the Alexander polynomials Δ((m))\Delta(\mathcal{L}(m)) for m{0,1,2,,n1}m\in\{0,1,2,...,n-1\}, it satisfies the usual skein relations for Alexander polynomials if we change a crossing away from the nn-parallel strands.

Example 4.11.

When n=2n=2,

C(2)|q=t1/2=1t1t(t11t1),C(2)|_{q=t^{1/2}}=\dfrac{1}{t^{-1}-t}\begin{pmatrix}t^{-1}&-1\\ -t&1\end{pmatrix},

and the Equation 4.6 becomes

Δ(m)=t(m1)+tm1t1tΔ(0)+tmtmt1tΔ(1),\Delta(\mathcal{L}_{m})=\dfrac{-t^{-(m-1)}+t^{m-1}}{t^{-1}-t}\Delta(\mathcal{L}_{0})+\dfrac{t^{-m}-t^{m}}{t^{-1}-t}\Delta(\mathcal{L}_{1}),

In this case, it is also easy to get the expression of Δ(m)\Delta(\mathcal{L}_{m}) from the inductive expression

Δ(m+1)=(t+1t)Δ(m)Δ(m1),\Delta(\mathcal{L}_{m+1})=(t+\dfrac{1}{t})\Delta(\mathcal{L}_{m})-\Delta(\mathcal{L}_{m-1}),

by using the usual skein relation of the Alexander polynomials three times.

The Laurent series h(t)h_{\mathcal{L}}(t) is given by

h(t)=(tΔ(1)t2Δ(0))i=0t2i.h_{\mathcal{L}}(t)=(t\Delta(\mathcal{L}_{1})-t^{2}\Delta(\mathcal{L}_{0}))\sum_{i=0}^{\infty}t^{2i}.
Example 4.12.

When n=3n=3,

C(3)|q=t1/2=1t62t3+2t3t6(t6t3t6+1t31t3+t3t6t6t3+t3t3t61+t61t3),C(3)|_{q=t^{1/2}}=\dfrac{1}{t^{-6}-2t^{-3}+2t^{3}-t^{6}}\begin{pmatrix}t^{-6}-t^{-3}&-t^{-6}+1&t^{-3}-1\\ -t^{-3}+t^{3}&t^{-6}-t^{6}&-t^{-3}+t^{3}\\ t^{3}-t^{6}&-1+t^{6}&1-t^{3}\end{pmatrix},

and

Δ(m)=1t62t3+2t3t6(F0(t)Δ(0)+F1(t)Δ(1)+F2(t)Δ(2)),\Delta(\mathcal{L}_{m})=\dfrac{1}{t^{-6}-2t^{-3}+2t^{3}-t^{6}}(F_{0}(t)\Delta(\mathcal{L}_{0})+F_{1}(t)\Delta(\mathcal{L}_{1})+F_{2}(t)\Delta(\mathcal{L}_{2})),

where

F0(t)=t3m+3t3m+6t3+t3+t3m6t3m3,F1(t)=t3m+t3m+6+t6t6t3m6+t3m,F2(t)=t3mt3m+3t3+t3+t3m3t3m.\begin{split}&F_{0}(t)=t^{-3m+3}-t^{-3m+6}-t^{-3}+t^{3}+t^{3m-6}-t^{3m-3},\\ &F_{1}(t)=-t^{-3m}+t^{-3m+6}+t^{-6}-t^{6}-t^{3m-6}+t^{3m},\\ &F_{2}(t)=t^{-3m}-t^{-3m+3}-t^{-3}+t^{3}+t^{3m-3}-t^{3m}.\end{split}

The Laurent series h(t)h_{\mathcal{L}}(t) is

h(t)=(t9t12)Δ(0)+(t6+t12)Δ(1)+(t6t9)Δ(2)12t3+2t9t12,h_{\mathcal{L}}(t)=\dfrac{(t^{9}-t^{12})\Delta(\mathcal{L}_{0})+(-t^{6}+t^{12})\Delta(\mathcal{L}_{1})+(t^{6}-t^{9})\Delta(\mathcal{L}_{2})}{1-2t^{3}+2t^{9}-t^{12}},

where we expand the inverse of the denominator as a power series in tt, given that it doesn’t vanish. If it vanishes, then

Δ(m)=(t3+t3)Δ(0)+(t6t6)Δ(1)+(t3+t3)Δ(2)t62t3+2t3t6,\Delta(\mathcal{L}_{m})=\dfrac{(-t^{-3}+t^{3})\Delta(\mathcal{L}_{0})+(t^{-6}-t^{6})\Delta(\mathcal{L}_{1})+(-t^{-3}+t^{3})\Delta(\mathcal{L}_{2})}{t^{-6}-2t^{-3}+2t^{3}-t^{6}},

independent of mm.

Example 4.13.

Suppose L=Tn,lL=T_{n,l} is the torus knot where gcd(n,l)=1gcd(n,l)=1. Let \mathcal{L} be the link diagram of LL which is given by the closure of the braid (σn1σn2σ1)lBn(\sigma_{n-1}\sigma_{n-2}...\sigma_{1})^{l}\in B_{n}, where all strands are oriented in the same direction. In this case, m\mathcal{L}_{m} represents the torus knot Tn,l+mnT_{n,l+mn}. From the formula of the Alexander polynomial of torus knots

Δ(Tn,l+mn)=t(l+mn1)(n1)/2(1t(l+mn)n)(1t)(1tl+mn)(1tn)=t(n1)/21t1tni=0n1t(l+mn)(n12i)/2,\begin{split}\Delta(T_{n,l+mn})&=t^{-(l+mn-1)(n-1)/2}\dfrac{(1-t^{(l+mn)n})(1-t)}{(1-t^{l+mn})(1-t^{n})}\\ &=t^{(n-1)/2}\dfrac{1-t}{1-t^{n}}\sum_{i=0}^{n-1}t^{(l+mn)(n-1-2i)/2},\end{split}

one can see that as mm\to\infty, the first few terms of Δ(Tn,l+mn)\Delta(T_{n,l+mn}) in the increasing order of degree of tt are obtained when i=n1i=n-1 in the summation, which are the same as the first few terms of

t(l1+mn)(n1)/21t1tn.t^{-(l-1+mn)(n-1)/2}\dfrac{1-t}{1-t^{n}}.

Therefore, we get directly the limiting Laurent series h(t)h_{\mathcal{L}}(t) is given by

h(t)=t(l1)(n1)/21t1tn.h_{\mathcal{L}}(t)=t^{-(l-1)(n-1)/2}\dfrac{1-t}{1-t^{n}}.

Note that this is the same as the one we obtained in the proof of Proposition 4.10. By Equation 4.8, and j=Tn,l+jn\mathcal{L}_{j}=T_{n,l+jn}, we have

(4.9) h(t)=j=0n1C(n)n,j+1|q=t1/2Δ(Tn,l+jn)=j=0n1C(n)n,j+1|q=t1/2t(n1)/21t1tni=0n1t(l+jn)(n12i)/2=i=0n1t(n1)/2tl(n12i)/21t1tnj=0n1C(n)n,j+1|q=t1/2B(n)j+1,i+1|q=t1/2=i=0n1t(n1)/2tl(n12i)/21t1tnδn,i+1=t(l1)(n1)/21t1tn,\begin{split}h_{\mathcal{L}}(t)&=\sum_{j=0}^{n-1}C(n)_{n,j+1}|_{q=t^{1/2}}\Delta(T_{n,l+jn})\\ &=\sum_{j=0}^{n-1}C(n)_{n,j+1}|_{q=t^{1/2}}t^{(n-1)/2}\dfrac{1-t}{1-t^{n}}\sum_{i=0}^{n-1}t^{(l+jn)(n-1-2i)/2}\\ &=\sum_{i=0}^{n-1}t^{(n-1)/2}t^{l(n-1-2i)/2}\dfrac{1-t}{1-t^{n}}\sum_{j=0}^{n-1}C(n)_{n,j+1}|_{q=t^{1/2}}B(n)_{j+1,i+1}|_{q=t^{1/2}}\\ &=\sum_{i=0}^{n-1}t^{(n-1)/2}t^{l(n-1-2i)/2}\dfrac{1-t}{1-t^{n}}\delta_{n,i+1}\\ &=t^{-(l-1)(n-1)/2}\dfrac{1-t}{1-t^{n}},\end{split}

where B(n)B(n) is the matrix defined in Definition 4.5, and C(n)C(n) is the inverse matrix of B(n)B(n).

In this sense, torus knots are the prototypical examples of the stabilization result on Alexander polynomials under adding twists. Proposition 4.10 says the Alexander polynomials of other links behave in a similar way under adding full twists as the torus knots.

Example 4.14.

This time we start with the unlink LL of nn components, and the diagram \mathcal{L} we use for LL is the closure of the identity element in the braid group BnB_{n} with the same orientation. Then m\mathcal{L}_{m} represents the nn-components torus link Tn,mnT_{n,mn}. The Alexander polynomial of Tn,mnT_{n,mn} is given by the formula:

Δ(Tn,mn)=t(mn1)(n1)/21t1tn(1tmn)n1.\Delta(T_{n,mn})=t^{-(mn-1)(n-1)/2}\dfrac{1-t}{1-t^{n}}(1-t^{mn})^{n-1}.

The first few terms of Δ(Tn,mn)\Delta(T_{n,mn}) as mm\to\infty are the same as the first few terms of

t(mn1)(n1)/21t1tn.t^{-(mn-1)(n-1)/2}\dfrac{1-t}{1-t^{n}}.

Therefore, the limiting Laurent series h(t)h_{\mathcal{L}}(t) is given by

h(t)=1t1tn.h_{\mathcal{L}}(t)=\dfrac{1-t}{1-t^{n}}.

As in the previous example, this is the same as the h(t)h_{\mathcal{L}}(t) computed using Equation 4.8.

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