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A Multiset Version of Even-Odd Permutations Identity

Hossein Teimoori Faal
Abstract.

In this paper, we give a new bijective proof of a multiset analogue of even-odd permutations identity. This multiset version is equivalent to the original coin arrangements lemma which is a key combinatorial lemma in the Sherman’s Proof of a conjecture of Feynman about an identity on paths in planar graphs related to combinatorial solution of two dimensional Ising model in statistical physics.

1. Introduction and Motivation

The Ising model [1] is a theoretical physics model of the nearest-neighbor interactions in a crystal structure. In the Ising model, the vertices of a graph G=(V,E)G=(V,E) represent particles and the edges describe interactions between pairs of particles. The most common example of a two dimensional Ising model is a planar square lattice where each particle interacts only with its neighbors. A factor (weight) JijJ_{ij} is assigned to each edge {i,j}\{i,j\}, where this factor describes the nature of the interaction between particles ii and jj. A physical state of the system is an assignment of σi{+1,1}\sigma_{i}\in\{+1,-1\} to each vertex ii. The Hamiltonian (or energy function) of the system is defined as:

H(σ)={i,j}EJijσiσj.H(\sigma)=-\sum_{\{i,j\}\in E}J_{ij}\sigma_{i}\sigma_{j}.

The distribution of the physical states over all possible energy levels is encapsulated in the partition function:

Z(β,G)=σeβH(σ),Z(\beta,G)=\sum_{\sigma}e^{-\beta H(\sigma)},

where β\beta is changed for KT\frac{K}{T}, in which KK is a constant and TT is a variable representing the temperature.
Motivated by a generalization of a cycle in a graph, a set A of edges is called even if each vertex of V is incident with an even number of edges of A. The generating function of even subsets denoted by (G,x)\mathcal{E}(G,x) can be defined as

(G,x)=A: A is eveneAxe.\mathcal{E}(G,x)=\sum_{\text{A: A is even}}\prod_{e\in A}x_{e}.

It turns out that the Ising partition function for a graph GG may be expressed in terms of the generating function of the even sets of the same graph GG. More precisely, we have the following Van der Waerden’s formula [2]

Z(G,β)=2|V|{i,j}Ecosh(βJij)(G,x)|xJij=tanh(βJij).Z(G,\beta)=2^{|V|}\prod_{\{i,j\}\in E}\cosh(\beta J_{ij})\mathcal{E}(G,x)|_{x^{J_{ij}}=\tanh(\beta J_{ij})}.

Now, let G=(V,E)G=(V,E) be a planar graph embedded in the plane and for each edge ee we associate a formal variable xex_{e} which can be seen as a weight of that edge. Let A=(V,A(G))A=(V,A(G)) be an arbitrary orientation of GG. If eEe\in E then aea_{e} will denote the orientation of ee in A(G)A(G) and ae1a^{-1}_{e} will be the reversed orientation to aea_{e}. We put xae=xae1=xex_{a_{e}}=x_{a^{-1}_{e}}=x_{e}. A circular sequence p=v1,a1,v2,a2,,an,(vn+1=v1)p=v_{1},a_{1},v_{2},a_{2},\ldots,a_{n},(v_{n+1}=v_{1}) is called non-periodic closed walk if the following conditions are satisfied: ai{ae,ae1:eE},aiai+11a_{i}\in\{a_{e},a^{-1}_{e}:e\in E\},a_{i}\neq a^{-1}_{i+1} and (a1,,an)Zm(a_{1},\ldots,a_{n})\neq Z^{m} for some sequence ZZ and m>1m>1. We also let X(p)=i=1nxaiX(p)=\prod_{i=1}^{n}x_{a_{i}}. We further let sign(p)=(1)n(p)sign(p)=(-1)^{n(p)}, where n(p)n(p) is a rotation number of pp; i.e., the number of integral revolutions of the tangent vector. Finally put W(p)=sign(p)X(p)W(p)=sign(p)X(p).
There is a natural equivalence on non-periodic closed walks; that is, pp is equivalent with reversed pp. Each equivalence class has two elements and will be denoted by [p][p]. We assume W([p])=W(p)W([p])=W(p) and note that this definition is correct since equivalent walks have the same sign.
The following beautiful formula is due to Feynman who conjectured it, but did not gave a proof of it. It was Sherman who gave a proof based on a key combinatorial lemma on coin arrangements [3] .

Theorem 1.1 (Feynman and Sherman).

Let GG be a planar graph. Then

(G,x)=[1W([p])],\mathcal{E}(G,x)=\prod[1-W([p])],

where the product is over all equivalence classes of non-periodic closed walks of G.

Here is the original statement of the coin arrangement lemma: Suppose we have a fixed collection of NN objects of which m1m_{1} are of one kind, m2m_{2} are of second kind, \ldots, and mnm_{n} of nn-th kind. Let bN,kb_{N,k} be the number of exhaustive unordered arrangements of these symbols into kk disjoint, nonempty, circularly ordered sets such that no two circular orders are the same and none are periodic. Then, we have

k=1N(1)kbN,k=0,(N>1).\sum_{k=1}^{N}(-1)^{k}b_{N,k}=0,~~~~~~(N>1).

It is worth to note that when the collection of objects constitute a set of nn elements, then the numbers bn,kb_{n,k} are exactly Stirling cycle numbers; that is, the number of permutations of the set {1,2,,n}\{1,2,\ldots,n\} (or nn - permutations) with exactly kk cycles in its decompositions into disjoint cycles. It is noteworthy that the coin arrangements lemma in this particular case, can be reformulated as the following well-known identity in combinatorics of permutations.

Proposition 1.2.

[Even-Odd Permutations Identity] For any integer number n>1n>1, The number of even nn-permutations is the same as the number of odd nn-permutations.

Our main goal here is to formulate a weighted version of the even-odd permutations identity in the multiset setting.

2. Basic Definitions and Notation

As Knuth has noted in [7, p.36] , the term multiset was suggested by N.G.de Bruijn in a private communication to him. Roughly speaking, a multiset is an unordered collection of elements in which repetition is allowed.

Definition 2.1 ( Multiset ).

Let Σ={a1,,an}\Sigma=\{a_{1},\ldots,a_{n}\} be a finite alphabet. A multiset MM over Σ\Sigma denoted by [a1m1,a2m2,,anmn][a_{1}^{m_{1}},a_{2}^{m_{2}},\ldots,a_{n}^{m_{n}}] is a finite collection of elements of Σ\Sigma with m1m_{1} occurrences of a1a_{1}, m2m_{2} occurrences of a2a_{2}, \ldots, and mnm_{n} occurrences of ana_{n}. The number N=m1+m2++mnN=m_{1}+m_{2}+\cdots+m_{n} is called the cardinality of MM and mi(1in)m_{i}~(1\leq i\leq n) is called the multiplicity of the element aia_{i}.

Definition 2.2 (Permutation of a multiset).

Let MM be a multiset over a finite alphabet Σ\Sigma of cardinality NN. We also let iNi\geq N be a given integer. Then an ii-permutation of MM is defined as an ordered arrangement of ii elements of MM. In particular, an NN-permutation of MM is also called a permutation of MM.

Example 2.1.

For the alphabet Σ={a,b,c}\Sigma=\{a,b,c\}, the string σ=aabcba\sigma=aabcba is a permutation of the multiset M=[a3,b2,c1]M=[a^{3},b^{2},c^{1}] .

It is worth to note that by a simple counting argument, one can obtain that the number of permutations of the multiset M=[a1m1,a2m2,,anmn]M=[a_{1}^{m_{1}},a_{2}^{m_{2}},\ldots,a_{n}^{m_{n}}] of cardinality NN is equal to N!m1!m2!mn!\frac{N!}{m_{1}!m_{2}!\cdots m_{n}!} .
In the rest of this section, we quickly review the basics of the combinatorics of words. The reader can consult the reference [5].
Let Σ\Sigma be a finite alphabet. The elements of Σ\Sigma are called letters. A finite sequence of elements of Σ\Sigma is called a word ( or string ) over the alphabet Σ\Sigma. An empty sequence of letters is called an empty word and is denoted by λ\lambda.
The set of all words over the alphabet Σ\Sigma will be denoted by Σ\Sigma^{\star}. We also denote the set of non-empty words by Σ+\Sigma^{+}. A word uu is called a factor ( resp. a prefix, resp. a suffix) of a word ww, if there exists words w1w_{1} and w2w_{2} such that w=w1uw2w=w_{1}uw_{2} (resp. w=uw2w=uw_{2}, resp. w=w1uw=w_{1}u).
The kk-th power of a word ww is defined by wk=wwk1w^{k}=ww^{k-1} with the convention that w0=λw^{0}=\lambda. A word wΣ+w\in\Sigma^{+} is called primitive if the equation w=unw=u^{n} (uΣ+u\in\Sigma^{+}) implies n=1n=1. Two words ww and uu are conjugate if there exist two words w1w_{1} and w2w_{2} such that w=w1w2w=w_{1}w_{2} and u=w2w1u=w_{2}w_{1}. It is easy to see that the conjugacy relation is an equivalence relation. A conjugacy class (or necklace) is a class of this equivalence relation.
For an ordered alphabet (Σ,<)(\Sigma,<), the lexicographic order \trianglelefteq on (Σ,<)(\Sigma^{\star},<) is defined by letting w1w2w_{1}\trianglelefteq w_{2} if

  • w1=uw2,(uΣ)orw_{1}=uw_{2},\hskip 11.38092pt(u\in\Sigma^{\star})\hskip 11.38092pt\text{or}

  • w1=ras,w2=rbta<b,fora,bΣandr,s,tΣ.w_{1}=ras,\hskip 8.5359ptw_{2}=rbt\hskip 8.5359pta<b,\hskip 8.5359pt\text{for}\hskip 5.69046pta,b\in\Sigma\hskip 8.5359pt\text{and}\hskip 5.69046ptr,s,t\in\Sigma^{\star}.

In particular, if w1w2w_{1}\trianglelefteq w_{2} and w1w_{1} is not a proper prefix of w2w_{2}, we write w1w2w_{1}\vartriangleleft w_{2}.

A word is called a Lyndon word if it is primitive and the smallest word with respect to the lexicographic order in it’s conjugacy class.

Example 2.2.

Let Σ={1,2,3}\Sigma=\{1,2,3\} be an ordered alphabet. Then, l1=1123l_{1}=1123 and l2=1223l_{2}=1223 are Lyndon words but l3=1131l_{3}=1131 is not a Lyndon word.

The following factorization of the words as a non-increasing product of Lyndon words is of fundamental importance in the combinatorics of words. From now on, we will denote the set of all Lyndon words by LL.

Theorem 2.1 (Lyndon Factorization ).

Any word wΣ+w\in\Sigma^{+} can be written uniquely as a non-increasing product of Lyndon words:

w=l1l2lh,liL,l1l2lh.w=l_{1}l_{2}\cdots l_{h},~l_{i}\in L,\hskip 14.22636ptl_{1}\trianglerighteq l_{2}\trianglerighteq\cdots\trianglerighteq l_{h}.

One of the important results about the characterization of Lydon words is the following.

Proposition 2.2.

A word wΣ+w\in\Sigma^{+} is a Lyndon word if and only if wΣw\in\Sigma or w=rsw=rs with r,sLr,s\in L and rsr\vartriangleleft s. Moreover, if there exists a pair (r,s)(r,s) with w=rsw=rs such that s,wLs,w\in L and ss of maximal length, then rLr\in L and lrssl\vartriangleleft rs\vartriangleleft s.

Definition 2.3.

For wL\Σw\in L\backslash\Sigma a Lyndon word consisting of more than a single letter, the pair (r,s)(r,s) with w=rsw=rs such that r,sLr,s\in L and ss of maximal length is called the standard factorization of the Lyndon ww.

3. Multiset Version of Even-Odd Permutations

In this section, we first briefly review basics of the combinatorics of permutations. For more detailed introduction see [6]. From now on, we will denote the set {1,2,,n}\{1,2,\ldots,n\} by [n][n].
Recall that a permutation τ\tau of a set [n][n] (or simply an nn-permutation) is a bijective function τ:[n][n]\tau:[n]\mapsto[n]. A one-line representation of τ\tau is denoted by τ=τ(1)τ(2)τ(n)\tau=\tau(1)\tau(2)\cdots\tau(n) .
Recall that from abstract algebra, we know that any permutation can be written as a product of disjoint cycles. Hence, a representation of a permutation in terms of disjoint cycles is called cycle representation.

Example 3.1.

Consider the bijective function

τ:[5][5],τ(1)=3,τ(2)=4,τ(3)=1,τ(4)=5,τ(5)=2.\tau:~[5]\mapsto[5],~~~\tau(1)=3,~\tau(2)=4,~\tau(3)=1,~\tau(4)=5,~\tau(5)=2.

A one-line representation of τ\tau is τ=34152\tau=34152. The cycle representation of τ\tau is equal to τ=(13)(245)\tau=(13)(245).

The set of all permutations of the set [n][n] will be denoted by SnS_{n}.

Definition 3.1 ( Cycle Index ).

Let τ=c1c2ck\tau=c_{1}c_{2}\cdots c_{k} be the cycle representation of the permutation τSn\tau\in S_{n}. Then, the number nkn-k is called the cycle index of τ\tau and will be denoted by indc(τ)ind_{c}(\tau).

Definition 3.2 ( Inversion ).

Let τSn=τ(1)τ(2)τ(n)\tau\in S_{n}=\tau(1)\tau(2)\cdots\tau(n) be a permutation. We say that (τ(i),τ(j))(\tau(i),\tau(j)) is an inversion of τ\tau if i<ji<j implies τ(i)>τ(j)\tau(i)>\tau(j).

We will denote the number of inversions of a permutation τ\tau with inv(τ)inv(\tau).

We recall the well-known fact due to Cauchy [8] that for any permutation τSn\tau\in S_{n}, the parity of inv(τ)inv(\tau) and indc(τ)ind_{c}(\tau) are the same. Therefore, we can divide the class of all permutations SnS_{n} into two important subclasses.

Definition 3.3 (Even - Odd Permutations).

A permutation τ=c1c2ck\tau=c_{1}c_{2}\cdots c_{k} in SnS_{n} is called an even (resp. odd) nn-permutation if indc(τ)ind_{c}(\tau) is even (resp. odd).

Example 3.2.

For n=5n=5, the permutation τ=13524=(1)(2354)\tau=13524=(1)(2354) has cycle index equal to 33 and hence τ\tau is an odd permutation, but the cycle index of τ=21354=(12)(3)(45)\tau^{\prime}=21354=(12)(3)(45) is 22 and so the permutation τ\tau^{\prime} is even.

Considering the above discussions, the coin arrangements lemma in the case that there exists exactly one coin of each type can be restate as follows.

Proposition 3.1 (Set version of coin arrangements).

For any integer n>1n>1, the number of even nn-permutations is the same as the number of odd nn-permutations.

In the rest of this section, we attempt to formulate a multiset version of the above well-known result in combinatorics of permutations.
For finding the right formulation of the coin arrangement lemma for multisets, we have to first replace permutations of the set [n][n] with words of length NN defined on the multiset M=[1m1,2m2,,nmn]M=[1^{m_{1}},2^{m_{2}},\ldots,n^{m_{n}}] of cardinality NN . The next step is to find the analogue of the cyclic decomposition of permutations into disjoint cycles. It seems that the Lyndon factorization of a word in which all factors are distinct is the suitable candidate. Hence, we come up with the following analogue of cycle index.

Definition 3.4 ( Lyndon tuple ).

Let Σ={1,2,,n}\Sigma=\{1,2,\ldots,n\} be a finite ordered alphabet and M=[1m1,2m2,,nmn]M=[1^{m_{1}},2^{m_{2}},\dots,n^{m_{n}}] be a multiset over Σ\Sigma of cardinality NN. We will call any permutation w=w1w2wNw=w_{1}w_{2}\cdots w_{N} of MM an NN-word over MM. If w=l1l2lkw=l_{1}l_{2}\cdots l_{k} is a Lyndon factorization of ww in which l1l2lkl_{1}\vartriangleright l_{2}\vartriangleright\ldots\vartriangleright l_{k} , then a tuple tup(w)=(lk,,l2,l1)tup(w)=(l_{k},\ldots,l_{2},l_{1}) is called a Lyndon tuple of the word ww over MM .

Remark 3.1.

It is noteworthy to mention that a Lyndon tuple of a word consists of only distinct Lyndon words.

Definition 3.5 ( Lyndon index ).

Let Σ={1,2,,n}\Sigma=\{1,2,\ldots,n\} be a finite ordered alphabet and M=[1m1,2m2,,nmn]M=[1^{m_{1}},2^{m_{2}},\dots,n^{m_{n}}] be a multiset of over Σ\Sigma cardinality NN. For a NN-word wΣw\in\Sigma^{\star} over MM with tup(w)=(l1,l2,,lk)tup(w)=(l_{1},l_{2},\ldots,l_{k}) such that l1l2lkl_{1}\vartriangleleft l_{2}\vartriangleleft\ldots\vartriangleleft l_{k}, the Lydon index of ww denoted by il(w)i_{l}(w) is defined to be the number NkN-k.

Definition 3.6 (Even-Odd Words).

Let Σ={1,2,,n}\Sigma=\{1,2,\ldots,n\} be a finite ordered alphabet and M=[1m1,2m2,,nmn]M=[1^{m_{1}},2^{m_{2}},\dots,n^{m_{n}}] be a multiset of over Σ\Sigma of cardinality NN. A NN-word wΣw\in\Sigma^{\star} over MM is said to be even (resp. odd) NN-word if the Lyndon index il(w)i_{l}(w) of ww is even (resp. odd).

Example 3.3.

For an ordered alphabet Σ={1,2,3}\Sigma=\{1,2,3\} and a multiset M=[12,2,3]M=[1^{2},2,3] , the 44-word w1=2113=(2)(113)w_{1}=2113=(2)(113) has the Lyndon index equals 22 and hence it is an even 44-word. But the Lyndon index of w2=2131=(2)(13)(1)w_{2}=2131=(2)(13)(1) is 11 and so the 44-word w2w_{2} is odd.

Thus, we finally get the following reformulation of the Sherman’s original coin arrangements lemma.

Proposition 3.2 ( Multiset version of even-odd permutations identity ).

Let Σ={1,2,,n}\Sigma=\{1,2,\ldots,n\} be a finite ordered alphabet and M=[1m1,2m2,,nmn]M=[1^{m_{1}},2^{m_{2}},\dots,n^{m_{n}}] be a multiset over Σ\Sigma of cardinality N>1N>1. Then, the number of even NN-words over MM is the same as the number of odd NN-words over MM.

In the next section, we will give a bijective proof a weighted version of the above coin arrangements lemma.

4. Weighted Coin Arrangements Lemma

In this section, we will first give a weighted reformulation of the coin arrangements lemma. Then, we present a bijective proof of our main result by constructing a weight-preserving involution on the set of words. But before doing it, for the sake of completeness, we present the original proof of Sherman based on the so called Witt identity in the context of combinatorial group theory [4] .

Proposition 4.1.

Let Σ\Sigma be a finite alphabet of kk letters. Let M(m1,,mk)M(m_{1},\ldots,m_{k}) be the number of Lyndon words with m1m_{1} occurrences of a1a_{1}, m2m_{2} occurrences of a2a_{2}, \ldots, mkm_{k} occurrences of aka_{k}. Let x1,,xkx_{1},\ldots,x_{k} be commuting variables. Then

(4.1) m1,,mk0(1x1m1xkmk)M(m1,,mk)=1x1xk.\prod_{m_{1},\ldots,m_{k}\geq 0}(1-x_{1}^{m_{1}}\cdots x_{k}^{m_{k}})^{M(m_{1},\ldots,m_{k})}=1-x_{1}-\cdots-x_{k}.
Proof.

By using Lyndon factorization and formal power series identities on words, we have

11x1xk\displaystyle\frac{1}{1-x_{1}-\cdots-x_{k}} =\displaystyle= w{x1,,xk}ω=lL11l\displaystyle\sum_{w\in\{x_{1},\ldots,x_{k}\}^{\star}}\omega=\prod_{l\in L}\frac{1}{1-l}
=\displaystyle= 1m1,,mk0(1x1m1xkmk)M(m1,,mk).\displaystyle\frac{1}{\prod_{m_{1},\ldots,m_{k}\geq 0}(1-x_{1}^{m_{1}}\cdots x_{k}^{m_{k}})^{M(m_{1},\ldots,m_{k})}}.

Now, considering the Witt identity, the proof of the coin arrangements lemma can be simply obtained by equating the coefficients of monomials of the same degree in both sides of the identity.
To obtain a weighted generalization of the coin arrangements lemma, we first associate a formal variable uau_{a} with each letter aa of alphabet Σ\Sigma which can be viewed as a weight of that letter. For any Lyndon word l=i1i2ihl=i_{1}i_{2}\cdots i_{h} , we define the weight wt(l)wt(l) of the Lyndon word lLl\in L as the product of weights of it’s letters. That is, wt(l)=ui1ui2uihwt(l)=u_{i_{1}}u_{i_{2}}\cdots u_{i_{h}} . The weight of an NN-word wΣw\in\Sigma^{\star}, is defined as wt(w)=ltup(w)wt(l)wt(w)=\prod_{l\in tup(w)}wt(l) . From now on, we will denote the set of all even (resp. odd) NN-words over MM by EE (resp. OO). Thus, a weighted version of the coin arrangement lemma can be read as follows.

Theorem 4.2.

[Weighted Coin Arrangements Lemma] For any multiset MM of cardinality N>1N>1, the weighted sum of even NN-words over MM is the same as the weighted sum of odd NN-words over MM. In other words, we have

(4.2) wEwt(w)=wOwt(w).\sum_{w\in E}wt(w)=\sum_{w\in O}wt(w).

The following lemma is the key in the proof of the above theorem.

Lemma 4.3.
i:

Let l=rsl=rs where r,sLr,s\in L with rsr\vartriangleleft s and let rr be a single letter Lyndon word. Then, l=(r,s)l=(r,s) is the standard factorization of ll.

ii:

Let l=rsl=rs where r,sLr,s\in L rsr\vartriangleleft s and let r=(r1,s1)r=(r_{1},s_{1}) be the standard factorization of rr with r1s1r_{1}\vartriangleleft s_{1}. Then, l=(r,s)l=(r,s) is the standard factorization of ll.

Proof.
i:

In this case, it is obvious that ss is of maximal length. Hence by Definition 2.3 , the result is immediate.

ii:

Assume in contrary that ss is not of maximal length. Then there exists a Lyndon word s=s1ss^{\prime}=s^{\prime}_{1}s (sss^{\prime}\vartriangleleft s) where ss^{\prime} is of maximal length and l=r1s1l=r^{\prime}_{1}s_{1}^{\prime} with r1Lr^{\prime}_{1}\in L. Now if s1s1s_{1}\vartriangleleft s^{\prime}_{1}, since s1ss^{\prime}_{1}\vartriangleleft s it implies that s1ss_{1}\vartriangleleft s which is a contradiction. On the other hand, since r=(r1,s1)r=(r_{1},s_{1}) is the standard factorization of rr, s1s^{\prime}_{1} must be a proper right factor of s1s_{1}. But we already know that every Lyndon word is smaller than its any proper right factor. Thus we get s1s1s_{1}\vartriangleleft s^{\prime}_{1}, which is again a contradiction.

The Proof of Theorem 4.2.

For a given NN-word ww with Lydon tuple tup(w)=(l1,l2,,lk)tup(w)=(l_{1},l_{2},\ldots,l_{k}) , we call the Lyndon word l1l_{1} splittable, if l1l_{1} is not a single letter and the standard factorization of l1=(r1,s1)l_{1}=(r_{1},s_{1}) satisfies s1l1s_{1}\vartriangleleft l_{1} . Now, one of the following cases may happen:

  • The Lyndon word l1l_{1} is splittable. Then, a mapping

    f:EO,w=f(w),tup(w)=(r1,s1,l2,,lk)f:~E\mapsto O,\hskip 11.38092ptw^{\prime}=f(w),\hskip 11.38092pttup(w^{\prime})=(r_{1},s_{1},l_{2},\ldots,l_{k})

    is a well-defined weight-preserving mapping (because r1s1l2r_{1}\vartriangleleft s_{1}\vartriangleleft l_{2} and wt(l1)=wt(r1)wt(s1)wt(l_{1})=wt(r_{1})wt(s_{1}) ) .

  • The Lyndon word l1l_{1} is not splittable. Then, a mapping

    g:OE,w=f(w),tup(w)=(l0,l3,,lk)g:~O\mapsto E,\hskip 11.38092ptw^{\prime}=f(w),\hskip 11.38092pttup(w^{\prime})=(l_{0},l_{3},\ldots,l_{k})

    with l0=l1l2l_{0}=l_{1}l_{2}, is a well-defined weight-preserving mapping (because l0Ll_{0}\in L and l0l2l3l_{0}\vartriangleleft l_{2}\vartriangleleft l_{3} with wt(l1)=wt(r1)wt(s1)wt(l_{1})=wt(r_{1})wt(s_{1}) ) .

Clearly the mappings ff and gg are inverse of one another. Thus, the function ff is a wight-preserving bijection form the set of even NN-words to the set odd NN-words and the conclusion immediately follows. ∎

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