Research article Topical Sections

Analysis of human mitochondrial DNA sequences from fecally polluted environmental waters as a tool to study population diversity

  • Mitochondrial signature sequences have frequently been used to study human population diversity around the world. Traditionally, this requires obtaining samples directly from individuals which is cumbersome, time consuming and limited to the number of individuals that participated in these types of surveys. Here, we used environmental DNA extracts to determine the presence and sequence variability of human mitochondrial sequences as a means to study the diversity of populations inhabiting in areas nearby a tropical watershed impacted with human fecal pollution. We used high-throughput sequencing (Illumina) and barcoding to obtain thousands of sequences from the mitochondrial hypervariable region 2 (HVR2) and determined the different haplotypes present in 10 different water samples. Sequence analyses indicated a total of 19 distinct variants with frequency greater than 5%. The HVR2 sequences were associated with haplogroups of West Eurasian (57.6%), Sub-Saharan African (23.9%), and American Indian (11%) ancestry. This was in relative accordance with population census data from the watershed sites. The results from this study demonstrates the potential value of mitochondrial sequence data retrieved from fecally impacted environmental waters to study the population diversity of local municipalities. This environmental DNA approach may also have other public health implications such as tracking background levels of human mitochondrial genes associated with diseases. It may be possible to expand this approach to other animal species inhabiting or using natural water systems.

    Citation: Vikram Kapoor, Michael Elk, Carlos Toledo-Hernandez, Jorge W. Santo Domingo. Analysis of human mitochondrial DNA sequences from fecally polluted environmental waters as a tool to study population diversity[J]. AIMS Environmental Science, 2017, 4(3): 443-455. doi: 10.3934/environsci.2017.3.443

    Related Papers:

    [1] Doaa Al-Sharoa . (α1, 2, β1, 2)-complex intuitionistic fuzzy subgroups and its algebraic structure. AIMS Mathematics, 2023, 8(4): 8082-8116. doi: 10.3934/math.2023409
    [2] Ayesha Shareef, Uzma Ahmad, Saba Siddique, Mohammed M. Ali Al-Shamiri . Pythagorean fuzzy incidence graphs with application in illegal wildlife trade. AIMS Mathematics, 2023, 8(9): 21793-21827. doi: 10.3934/math.20231112
    [3] Supriya Bhunia, Ganesh Ghorai, Qin Xin . On the characterization of Pythagorean fuzzy subgroups. AIMS Mathematics, 2021, 6(1): 962-978. doi: 10.3934/math.2021058
    [4] Sizhao Li, Xinyu Han, Dapeng Lang, Songsong Dai . On the stability of two functional equations for (S,N)-implications. AIMS Mathematics, 2021, 6(2): 1822-1832. doi: 10.3934/math.2021110
    [5] Rizwan Gul, Muhammad Shabir, Tareq M. Al-shami, M. Hosny . A Comprehensive study on (α,β)-multi-granulation bipolar fuzzy rough sets under bipolar fuzzy preference relation. AIMS Mathematics, 2023, 8(11): 25888-25921. doi: 10.3934/math.20231320
    [6] Abdul Razaq, Ghaliah Alhamzi . On Pythagorean fuzzy ideals of a classical ring. AIMS Mathematics, 2023, 8(2): 4280-4303. doi: 10.3934/math.2023213
    [7] Akarachai Satirad, Ronnason Chinram, Aiyared Iampan . Pythagorean fuzzy sets in UP-algebras and approximations. AIMS Mathematics, 2021, 6(6): 6002-6032. doi: 10.3934/math.2021354
    [8] Anas Al-Masarwah, Abd Ghafur Ahmad . Subalgebras of type (α, β) based on m-polar fuzzy points in BCK/BCI-algebras. AIMS Mathematics, 2020, 5(2): 1035-1049. doi: 10.3934/math.2020072
    [9] Li Li, Mengjing Hao . Interval-valued Pythagorean fuzzy entropy and its application to multi-criterion group decision-making. AIMS Mathematics, 2024, 9(5): 12511-12528. doi: 10.3934/math.2024612
    [10] Saleem Abdullah, Muhammad Qiyas, Muhammad Naeem, Mamona, Yi Liu . Pythagorean Cubic fuzzy Hamacher aggregation operators and their application in green supply selection problem. AIMS Mathematics, 2022, 7(3): 4735-4766. doi: 10.3934/math.2022263
  • Mitochondrial signature sequences have frequently been used to study human population diversity around the world. Traditionally, this requires obtaining samples directly from individuals which is cumbersome, time consuming and limited to the number of individuals that participated in these types of surveys. Here, we used environmental DNA extracts to determine the presence and sequence variability of human mitochondrial sequences as a means to study the diversity of populations inhabiting in areas nearby a tropical watershed impacted with human fecal pollution. We used high-throughput sequencing (Illumina) and barcoding to obtain thousands of sequences from the mitochondrial hypervariable region 2 (HVR2) and determined the different haplotypes present in 10 different water samples. Sequence analyses indicated a total of 19 distinct variants with frequency greater than 5%. The HVR2 sequences were associated with haplogroups of West Eurasian (57.6%), Sub-Saharan African (23.9%), and American Indian (11%) ancestry. This was in relative accordance with population census data from the watershed sites. The results from this study demonstrates the potential value of mitochondrial sequence data retrieved from fecally impacted environmental waters to study the population diversity of local municipalities. This environmental DNA approach may also have other public health implications such as tracking background levels of human mitochondrial genes associated with diseases. It may be possible to expand this approach to other animal species inhabiting or using natural water systems.


    Lagrange's theorem is one of the most fundamental theorem of Abstract algebra. In the late 18th century, Lagrange's theorem first appeared to handle the polynomial equation of degree five or more and its relation with symmetric functions. But, Lagrange stated his version of the theorem before the invention of group theory. This theorem developed over the decades. Pietro first gave the complete proof of this theorem. This theorem is an important tool for the study of finite groups as it gives an overview of the size of subgroups. Lagrange's theorem has various applications in number theory. This theorem has a significant role in the proof of Fermat's Little theorem. For further details, we refer to [1,2].

    Uncertainty is a part of our daily life. This world is neither based on hypothesis nor on accurate measurements. There is not always possible to make an obvious decision. Handling the errors in decision-making situation is a real challenge for us. In 1965, Zadeh [3] first introduced the notion of fuzzy set to handle vagueness in real-life problems, where he broke the conventional idea of yes or not that is zero or one. He defined fuzzy set as a mapping from any set to [0,1]. So the membership value of an element is any number between 0 and 1. After that fuzzy set becomes a trend in worldwide research. In 1971, Rosenfeld [4] first studied the concept of fuzzy subgroup and investigated various properties of it. In 1979, the notion of fuzzy subgroup was redefined by Anthony and Sherwood [5,6]. Fuzzy level subgroups were introduced by Das [7]. In 1992, Ajmal and Prajapati [8] introduced the ideas of fuzzy normal subgroup, fuzzy coset and fuzzy quotient subgroup. In 1988, Choudhury et al. [9] proved various properties of fuzzy subgroups and fuzzy homomorphisms. In 1990, Dixit et al. [10] discussed fuzzy level subgroups and union of fuzzy subgroups. The notion of anti-fuzzy subgroup was first proposed by Biswas [11]. Chakraborty and Khare [12] studied various properties of fuzzy homomorphisms. Ajmal [13] also studied homomorphisms of fuzzy subgroups. In 1994, Kim [14] defined the order of fuzzy subgroups and fuzzy p-subgroups. Many more results on fuzzy subgroups were introduced by Mukherjee [15,16] and Bhattacharya [17,18]. In 1999, Ray [19] introduced the product of fuzzy subgroups. In recent years many researchers studied various properties of fuzzy groups. In 2015, Tarnauceanu [20] classified fuzzy normal subgroups of finite groups. In 2016, Onasanya [21] reviewed some anti fuzzy properties of fuzzy subgroups. Shuaib [22] and Shaheryar [23] studied the properties of omicron fuzzy subgroups and omicron anti fuzzy subgroups. In 2018, Addis [24] developed fuzzy homomorphism theorems on groups.

    In decision-making problems, sometimes assigning membership values is not enough. In 1986, assigning non-membership degree with membership degree Atanassov [25] developed intuitionistic fuzzy set. Using this concept, intuitionistic fuzzy subgroups were studied by Zhan and Tan [26]. In 2013, Yager [27] defined Pythagorean fuzzy set. This set gives a modern way to model vagueness and uncertainty with high precision and accuracy compared to intuitionistic fuzzy sets. In 2021, Bhunia et al. [28] introduced Pythagorean fuzzy subgroups. In recent years, some results related to Pythagorean fuzzy sets were given by [29,30,31,32]. In 2021, Bhunia [33] and Ghorai first initiated the study of (α,β)-Pythagorean fuzzy sets, where they imposed the restrictions α and β for more accuracy. They proved that (α,β)-Pythagorean fuzzy sets are more precise than intuitionistic fuzzy sets and Pythagorean fuzzy sets. They defined the notion of (α,β)-Pythagorean fuzzy subgroup and proved various algebraic aspects of it. One of the most important results of finite group theory is the Lagrange's theorem. Our main motive of this paper is to give an (α,β)-Pythagorean fuzzy version of Lagrange's theorem in (α,β)-Pythagorean fuzzy subgroups. We introduce the concept of relative subgroup of a group and define the (α,β)-Pythagorean fuzzy order of an element in (α,β)-Pythagorean fuzzy subgroups. We make a comparison between order of an element in a group and (α,β)-Pythagorean fuzzy order of that element in (α,β)-Pythagorean fuzzy subgroup. We define the extension principle in (α,β)-Pythagorean fuzzy environments and study the effect of group homomorphism on (α,β)-Pythagorean fuzzy subgroups. We introduce (α,β)-Pythagorean fuzzy quotient group and the index of an (α,β)-Pythagorean fuzzy subgroup. Finally, we give an approach to Lagrange's theorem in (α,β)-Pythagorean fuzzy subgroups.

    An outline of this paper is given as follows: we recall some important definitions and concepts in Section 2. In Section 3, we define the notion of (α,β)-Pythagorean fuzzy order of elements of groups and discuss many properties of it. Section 4 deals with some algebraic attributes of (α,β)-Pythagorean fuzzy subgroup. In Section 5, we introduce the concept of (α,β)-Pythagorean fuzzy quotient group and give an (α,β)-Pythagorean fuzzy version of Lagrange's theorem. Finally, we make a conclusion in Section 6.

    In this section, we recall some basic definitions which are used for the development of later sections.

    Definition 2.1. [33] Let S be a crisp set and α, β[0,1] be such that 0α2+β21. An (α,β)-Pythagorean fuzzy set ψ in S is an object having the form ψ={(u,μα(u),νβ(u)|uS} where μα(u)=μ(u)α and νβ(u)=ν(u)β are membership degree and non-membership degree of uS respectively, which satisfies the condition 0(μα(u))2+(νβ(u))21.

    Definition 2.2. [33] Let ψ be an (α,β)-Pythagorean fuzzy set of a group G. Then ψ is said to be an (α,β)-Pythagorean fuzzy subgroup of the group G if the following conditions hold:

    μα(uv)μα(u)μα(v) and νβ(uv)νβ(u)νβ(v) for all u,vG

    μα(u1)μα(u) and νβ(u1)νβ(u) for all uG.

    Throughout this paper, we will write (α,β)-Pythagorean fuzzy set as (α,β)-PFS and (α,β)-Pythagorean fuzzy subgroup as (α,β)-PFSG. Also, we will denote (α,β)-PFS as ψ=(μα,νβ) instead of ψ={(a,μα(a),νβ(a)|aS}.

    Proposition 2.1. [33] Let ψ=(μα,νβ) be an (α,β)-PFS of a group G. Then ψ is an (α,β)-PFSG of G if and only if μα(uv1)μα(u)μα(v) and νβ(uv1)νβ(u)νβ(v) for all u,vG.

    Definition 2.3. [33] Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G. Then for uG, (α,β)-Pythagorean fuzzy left coset (PFLC) of ψ is the (α,β)-PFS uψ=(uμα,uνβ), defined by (uμα)(m)=μα(u1m), (uνβ)(m)=νβ(u1m) and (α,β)-Pythagorean fuzzy right coset (PFRC) of ψ is the (α,β)-PFS ψu=(μαu,νβu), defined by (μαu)(m)=μα(mu1), (νβu)(m)=νβ(mu1) for all mG.

    Definition 2.4. [33] Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G. Then ψ is an (α,β)-Pythagorean fuzzy normal subgroup (PFNSG) of the group G if every (α,β)-PFLC of ψ is also an (α,β)-PFRC of ψ in G.

    Equivalently, uψ=ψu for all uG.

    Proposition 2.2. [33] Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G. Then ψ is an (α,β)-PFNSG of G if and only if μα(uv)=μα(vu) and νβ(uv)=νβ(vu) for all u,vG.

    Proposition 2.3. [33] Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G. Then ψ is an (α,β)-PFNSG of G if and only if μα(vuv1)=μα(u) and νβ(vuv1)=νβ(u) for all u,vG.

    In this section, we introduce the concept of relative subgroup of a group and define the (α,β)-Pythagorean fuzzy order of elements in (α,β)-Pythagorean fuzzy subgroups. Further, We compare between the fuzzy order of elements in fuzzy subgroups and (α,β)-Pythagorean fuzzy order of elements in (α,β)-Pythagorean fuzzy subgroups. Moreover, we discuss various algebraic properties of (α,β)-Pythagorean fuzzy order of elements in (α,β)-PFSGs.

    First of all, we will construct a theorem which will be the building block of this section.

    Theorem 3.1. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G and u be any element of G. Then Ω(u)={vG|μα(v)μα(u), νβ(v)νβ(u)} forms a subgroup of the group G.

    Proof. For any element uG, we have Ω(u)={vG|μα(v)μα(u), νβ(v)νβ(u)}.

    Clearly uΩ(u), so Ω(u) is a non empty subset of G.

    Since ψ=(μα,νβ) is an (α,β)-PFSG of the group G, then μα(e)μα(u) and νβ(e)νβ(u), where e is the identity element of G. So, eΩ(u).

    Let m and n be two arbitrary elements of Ω(u). Therefore

    μα(mn1)μα(m)μα(n1)=μα(m)μα(n)μα(u).

    Similarly, we can show that νβ(mn1)νβ(u).

    Consequently mn1Ω(u).

    Hence Ω(u) is a subgroup of the group G.

    Definition 3.1. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G and u be any element of G. Then the subgroup Ω(u) is called the relative subgroup of the group G corresponding to the element u.

    Definition 3.2. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G and u be any element of G. Then the (α,β)-Pythagorean fuzzy order of u in ψ is denoted by (α,β)-PFO (u)ψ and defined by the order of the relative subgroup of u in G.

    Therefore, (α,β)-PFO (u)ψ=O(Ω(u)) for all u in G.

    Example 3.1. Let us consider the Klein's 4-group V4={e,a,b,c}, where e is the identity element of V4 and each element has its own inverse. Define the membership degree and non-membership degree of the elements of V4 by

    μ(e)=0.9, μ(a)=0.6, μ(b)=0.6, μ(c)=0.8,ν(e)=0.3, ν(a)=0.8, ν(b)=0.8, ν(c)=0.5.

    We choose α=0.8 and β=0.5. Then an (α,β)-PFS ψ=(μα,νβ) of V4 is given by

    μα(e)=0.8, μα(a)=0.6, μα(b)=0.6, μα(c)=0.8,νβ(e)=0.5, νβ(a)=0.8, νβ(b)=0.8, νβ(c)=0.5.

    Clearly, ψ=(μα,νβ) is an (α,β)-PFSG of the group V4.

    Then the (α,β)-Pythagorean fuzzy order of the elements of V4 in ψ is given by

    (α,β)-PFO (e)ψ=O(Ω(e))=2, (α,β)-PFO (a)ψ=O(Ω(a))=4,

    (α,β)-PFO (b)ψ=O(Ω(b))=4 and (α,β)-PFO (c)ψ=O(Ω(c))=2.

    Now, we will make a comparison between order and (α,β)-Pythagorean fuzzy order of an element in a group.

    From the above example, we can see that (α,β)-PFO (e)ψO(e) and (α,β)-PFO (e)ψ=(α,β)-PFO (c)ψ=2. Again there is no element of order four in the Klein's 4-group but here (α,β)-Pythagorean fuzzy order of a and b in ψ is four.

    Remark 3.1. For any group, the identity element is the unique element of order one but in (α,β)-PFSG the (α,β)-Pythagorean fuzzy order of identity element may not be equal to one. Also, (α,β)-Pythagorean fuzzy order of an element in (α,β)-PFSG may not be equal to the order of that element in the group.

    Proposition 3.1. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G. Then (α,β)-PFO (e)ψ(α,β)-PFO (u)ψ for all uG, where e is the identity of G.

    Proof. Let (α,β)-PFO (e)ψ=p, where p is a positive integer.

    Assume that Ω(e)={u1,u2,,up}, where uiuj for all i, j.

    Then μα(u1)=μα(u2)==μα(up)=μα(e) and

    νβ(u1)=νβ(u2)==νβ(up)=νβ(e).

    Since ψ=(μα,νβ) is an (α,β)-PFSG of the group G, then

    μα(e)μα(u) and νβ(e)νβ(u) for all uG.

    So, u1, u2, , upΩ(u). Thus Ω(e)Ω(u).

    Consequently, O(Ω(e))O(Ω(u)) for all uG.

    Hence (α,β)-PFO (e)ψ(α,β)-PFO (u)ψ for all uG.

    Theorem 3.2. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G. Then for all uG, (α,β)-PFO (u)ψ=(α,β)-PFO (u1)ψ.

    Proof. Let u be an element of G.

    Then (α,β)-PFO (u)ψ=O(Ω(u)), where Ω(u)={vG|μα(v)μα(u), νβ(v)νβ(u)}.

    Since ψ=(μα,νβ) is an (α,β)-PFSG of the group G, therefore μα(u)=μα(u1) and νβ(u)=νβ(u1).

    So Ω(u)={vG|μα(v)μα(u1), νβ(v)νβ(u1)}=Ω(u1).

    This implies that, O(Ω(u))=O(Ω(u1)).

    Hence, (α,β)-PFO (u)ψ=(α,β)-PFO (u1)ψ.

    Since u is an arbitrary element of G,

    (α,β)-PFO (u)ψ=(α,β)-PFO (u1)ψ for all uG.

    Now, we will now introduce (α,β)-Pythagorean fuzzy order of (α,β)-PFSG of a group.

    Definition 3.3. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G. Then (α,β)- Pythagorean fuzzy order of the (α,β)-PFSG ψ is denoted by (α,β)-PFO (ψ) and is defined by (α,β)-PFO (ψ)={(α,β)-PFO (u)ψ|uG}.

    Example 3.2. We consider the (α,β)-PFSG ψ of Klein's 4-group V4 in Example 3.1.

    (α,β)-Pythagorean fuzzy order of the elements of V4 in ψ is given by

    (α,β)-PFO (e)ψ=2, (α,β)-PFO (a)ψ=4, (α,β)-PFO (b)ψ=4 and (α,β)-PFO (c)ψ=2.

    Therefore (α,β)-PFO (ψ)={(α,β)-PFO (u)ψ|uV4}=4.

    Theorem 3.3. For any (α,β)-PFSG of a group, (α,β)-Pythagorean fuzzy order of that (α,β)-PFSG is same as the order of the group.

    Proof. Suppose ψ=(μα,νβ) be an (α,β)-PFSG of a group G.

    Let u be any element of G.

    Without loss of generality, we may assume that

    μα(v)μα(u) and νβ(v)νβ(u) for all vG.

    Since Ω(u)={vG|μα(v)μα(u), νβ(v)νβ(u)}, then Ω(u)=G.

    Also, |Ω(u)||Ω(v)| for all vG.

    Consequently (α,β)-PFO (ψ)=(α,β)-PFO (u)ψ.

    Again (α,β)-PFO (u)ψ=O(Ω(u)).

    Therefore (α,β)-PFO (ψ)=O(G).

    Hence (α,β)-Pythagorean fuzzy order of any (α,β)-PFSG of a group is the same as the order of the group.

    Remark 3.2. For any (α,β)-PFSG of a group G, (α,β)-Pythagorean fuzzy order of each element of G divides (α,β)-Pythagorean fuzzy order of the (α,β)-PFSG.

    Theorem 3.4. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G and u be an element of G such that (α,β)-PFO (u)ψ=p. If gcd(p,q)=1 for a positive integer q, then μα(uq)=μα(u) and νβ(uq)=νβ(u).

    Proof. Since (α,β)-PFO (u)ψ=p, then we have up=e.

    Again ψ=(μα,νβ) is an (α,β)-PFSG of a group G, then

    μα(uq)μα(u) and νβ(uq)νβ(u) for any positive integer q.

    Also gcd(p,q)=1, then there exists positive integers a and b such that ap+bq=1. Now

    μα(u)=μα(uap+bq)μα(uap)μα(ubq)μα(e)μα(uq)=μα(uq).

    Therefore μα(u)μα(uq). Similarly, we can show that νβ(u)νβ(uq).

    Hence μα(uq)=μα(u) and νβ(uq)=νβ(u).

    Theorem 3.5. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G and u be any element of G. If for an integer q, μα(uq)=μα(e) and νβ(uq)=νβ(e) then q|(α,β)-PFO (u)ψ.

    Proof. Let (α,β)-PFO (u)ψ=p.

    Without loss of generality, we may assume that q is the minimum integer for which μα(uq)=μα(e) and νβ(uq)=νβ(e) holds.

    By division algorithm, there exists two integers m and r such that p=mq+r where 0r<q. Now \newpage

    μα(ur)=μα(upmq)μα(up)μα((u1)mq)=μα(up)μα(umq)=μα(e)μα((uq)m)μα(e)μα(uq)=μα(e).

    Similarly, we can show that νβ(ur)νβ(e).

    Consequently, μα(ur)=μα(e) and νβ(ur)=νβ(e).

    This result contradicts the minimality of q as 0r<q.

    Therefore r must be zero, so p=mq.

    Hence q|(α,β)-PFO (u)ψ.

    In the next result, we will show how to find (α,β)-Pythagorean fuzzy order of integral power of an element.

    Theorem 3.6. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G and u be any element of G. If (α,β)-PFO (u)ψ=p then for an integer k, (α,β)-PFO (uk)ψ=pgcd(p,k).

    Proof. Let (α,β)-PFO (uk)ψ=m and assume that gcd(p,k)=g.

    Since (α,β)-PFO (u)ψ=p, then up=e where e is the identity of G. Now

    μα((uk)pg)=μα((up)kg)=μα(ekg)=μα(e).

    Similarly, we can show that νβ((uk)pg)=νβ(e).

    Therefore by Theorem 3.5, we can say pg divides m.

    Also we have gcd(p,k)=g, then there exists two integers s and t such that ps+kt=g. Therefore

    μα(ugm)=μα(u(ps+kt)m)=μα(upsmuktm)μα((up)sm)μα((ukm)t)μα(up)μα((uk)m)=μα(e)μα(e)=μα(e).

    Therefore the only possibility is μα(ugm)=μα(e).

    Similarly, we can prove that νβ(ugm)=νβ(e).

    Thus using Theorem 3.5 we have gm|p, that is m|pg.

    Therefore m=pg.

    Hence (α,β)-PFO (uk)ψ=pgcd(p,k).

    Theorem 3.7. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G and u be any element of G. If (α,β)-PFO (u)ψ=p and rs(mod p) then (α,β)-PFO (ur)ψ=(α,β)-PFO (us)ψ, where r,sZ.

    Proof. Let (α,β)-PFO (ur)ψ=x and (α,β)-PFO (us)ψ=y.

    Since rs(mod p) then r=pq+s for some integer q. Now

    μα((ur)y)=μα((upq+s)y)=μα(upqyusy)μα((up)qy)μα((us)y)=μα(e)μα(e)=μα(e).

    Therefore the only possibility is μα((ur)y)=μα(e).

    Similarly, we can prove νβ((ur)y)=νβ(e).

    By using Theorem 3.5, we have y|x.

    In the same manner, we can prove that x|y. Thus x=y.

    Hence (α,β)-PFO (ur)ψ=(α,β)-PFO (us)ψ, where r,sZ.

    Theorem 3.8. Let ψ=(μα,νβ) be an (α,β)-PFNSG of a group G and u be any element of G. Then (α,β)-PFO (u)ψ=(α,β)-PFO (vuv1)ψ for all vG.

    Proof. Let v be an arbitrary element of G.

    Since ψ is an (α,β)-PFNSG of the group G, then μα(u)=μα(vuv1) and νβ(u)=νβ(vuv1).

    Therefore the relative subgroups corresponding to u is the same as that of vuv1.

    This implies that Ω(u)=Ω(vuv1).

    Consequently, O(Ω(u))=O(Ω(vuv1)).

    Since v is an arbitrary element of G, hence (α,β)-PFO (u)ψ=(α,β)-PFO (vuv1)ψ for all vG.

    Theorem 3.9. Let ψ=(μα,νβ) be an (α,β)-PFNSG of a group G. Then (α,β)-PFO (uv)ψ=(α,β)-PFO (vu)ψ for all u,vG.

    Proof. Let u and v be any two elements of G.

    We have μα(uv)=μα((v1v)(uv))=μα(v1(vu)v).

    Similarly, νβ(uv)=νβ(v1(vu)v).

    Therefore Ω(uv)=Ω(v1(vu)(v1)1).

    Consequently, (α,β)-PFO (uv)ψ=(α,β)-PFO (v1(vu)(v1)1)ψ.

    Again by Theorem 3.8, we have (α,β)-PFO (v(vu)v1)ψ=(α,β)-PFO (vu)ψ.

    Since u and v are arbitrary elements of G, hence (α,β)-PFO (uv)ψ=(α,β)-PFO (vu)ψ for all u,vG.

    Theorem 3.10. Let ψ=(μα,νβ) be an (α,β)-PFSG of an abelian group G and u,v be two elements of G such that gcd((α,β)-PFO (u)ψ,(α,β)-PFO (v)ψ)=1. If μα(uv)=μα(e) and νβ(uv)=νβ(e) then (α,β)-PFO (u)ψ=(α,β)-PFO (v)ψ=1.

    Proof. Let (α,β)-PFO (u)ψ=p and (α,β)-PFO (v)ψ=q.

    So, we have gcd(p,q)=1. Now

    μα(uqvq)=μα((uv)q)μα(uv)=μα(e).

    Therefore the only possibility is μα(uqvq)=μα(e). Again

    μα(uq)=μα(uqvqvq)μα(uqvq)μα((v1)q)=μα(e)μα(e)=μα(e).

    So, we have μα(uq)=μα(e). Similarly, we can prove that νβ(uq)=νβ(e).

    Therefore by Theorem 3.5, we have q|p. Again gcd(p,q)=1, thus q=1.

    Similarly, we can show that p=1.

    Hence (α,β)-PFO (u)ψ=(α,β)-PFO (v)ψ=1.

    Theorem 3.11. Let ψ=(μα,νβ) be an (α,β)-PFSG of a cyclic group G. Then any two generators of the cyclic group G have same (α,β)-Pythagorean fuzzy order in ψ.

    Proof. Let G be a finite cyclic group of order n.

    Also, let u and v be two generators of G. Therefore un=e and vn=e.

    Since u is a generator of G, then v=uk for some positive integer k.

    So, k and n are co-prime that is gcd(k,n)=1.

    Therefore by applying Theorem 3.10, (α,β)-PFO (u)ψ=(α,β)-PFO (uk)ψ=(α,β)-PFO (v)ψ.

    Now, if G is an infinite cyclic group then it has only two generators.

    Suppose u is a generator of G then u1 is the only other generator.

    Therefore by using Theorem 3.2, we have (α,β)-PFO (u)ψ=(α,β)-PFO (u1)ψ.

    Hence (α,β)-Pythagorean fuzzy order of any two generators of a cyclic group is equal.

    In this section, we define the extension principle in (α,β)-Pythagorean fuzzy environment. We study the effect of group homomorphism on (α,β)-Pythagorean fuzzy subgroups. Further, we develop the concept of (α,β)-Pythagorean fuzzy normalizer and (α,β)-Pythagorean fuzzy centralizer. Moreover, we investigate many algebraic attributes of it.

    Definition 4.1. Let ψ1=(μα1,νβ1) and ψ2=(μα2,νβ2) be two (α,β)-Pythagorean fuzzy sets on G1 and G2 respectively. Let h be a mapping from G1 to G2. Then h(ψ1) is an (α,β)-Pythagorean fuzzy set on G2 and defined by h(ψ1)(v)=(h(μα1)(v),h(νβ1)(v)) for all vG2, where

    h(μα1)(v)={{μα1(u)|uG1 and h(u)=v},whenh1(v)0,elsewhere

    and

    h(νβ1)(v)={{νβ1(u)|uG1 and h(u)=v},whenh1(v)1,elsewhere.

    Also, h1(ψ2) is an (α,β)-Pythagorean fuzzy set on G1 and defined by

    h1(ψ2)(u)=(h1(μα2)(u),h1(νβ2)(u)) for all uG1, where

    (h1(μα2))(u)=(μα2(h(u)) and (h1(νβ2))(u)=(νβ2(h(u)).

    Example 4.1. We consider two groups G1=(Z,+) and G2=({1,1},.).

    Let h be a mapping from G1 to G2 defined by

    h(u)={1,if uiseven1,elsewhere.

    Let ψ1=(μα1,νβ1) and ψ2=(μα2,νβ2) be two (α,β)-Pythagorean fuzzy sets on G1 and G2 respectively, is given by

    μα1(u)={0.9,whenu2Z0.6,elsewhere
    νβ1(u)={0.2,whenu2Z0.7,elsewhere

    and μα2(1)=0.8, μα2(1)=0.4, νβ2(1)=0.5, νβ2(1)=0.6.

    Then h(ψ1) is an (α,β)-Pythagorean fuzzy set on G2 is given by h(μα1)(1)=0.9, h(μα1)(1)=0.6, h(νβ1)(1)=0.2 and h(νβ1)(1)=0.7.

    Also, h1(ψ2) is an (α,β)-Pythagorean fuzzy set on G1 is given by

    h1(μα2)(u)={0.8,whenu2Z0.4,elsewhere
    h1(νβ2)(u)={0.5,whenu2Z0.6,elsewhere.

    Theorem 4.1. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G1 and h be a group homomorphism from G1 onto G2. Then h(ψ) is an (α,β)-PFSG of the group G2.

    Proof. Since h:G1G2 is an onto homomorphism, therefore h(G1)=G2.

    Let u2 and v2 be two elements of G2.

    Suppose u2=h(u1) and v2=h(v1) for some u1, v1G1.

    We have h(ψ)(v)=(h(μα)(v),h(νβ)(v)) for all vG2. Now

    h(μα)(u2v2)={μα(w)|wG1,h(w)=u2v2}{μα(u1v1)|u1,v1G1 and h(u1)=u2,h(v1)=v2}{μα(u1)μα(v1)|u1,v1G1 and h(u1)=u2,h(v1)=v2}=({μα(u1)|u1G1 and h(u1)=u2})({μα(v1)|v1G1 and h(v1)=v2})=h(μα)(u2)h(μα)(v2).

    Therefore h(μα)(u2v2)h(μα)(u2)h(μα)(v2) for all u2 and v2G2.

    Similarly, we can prove that h(νβ)(u2v2)h(νβ)(u2)h(νβ)(v2) for all u2 and v2G2. Again

    h(μα)(u12)={μα(w)|wG1 and h(w)=(u12)}={μα(w1)|wG1 and h(w1)=(u2)}=h(μα)(u2).

    Therefore h(μα)(u12)=h(μα)(u2) for all u2G2.

    Similarly, we can show that h(νβ)(u12)=h(νβ)(u2) for all u2G2.

    Hence h(ψ)=(h(μα),h(νβ)) is an (α,β)-PFSG of the group G2.

    Theorem 4.2. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G2 and h be a bijective group homomorphism from G1 onto G2. Then h1(ψ) is an (α,β)-PFSG of the group G1.

    Proof. Let u1 and v1 be any two elements of G1.

    We have h1(ψ)(u)=(h1(μα)(u),h1(νβ)(u)) for all uG1. Now

    h1(μα)(u1v1)=μα(h(u1v1))=μα(h(u1)h(v1)) (Since h is a homomorphism)μα(h(u1))μα(h(v1))=h1(μα)(u1)h1(μα)(v1).

    Therefore h1(μα)(u1v1)h1(μα)(u1)h1(μα)(v1) for all u1 and v1G1.

    Similarly, we can show that h1(νβ)(u1v1)h1(νβ)(u1)h1(νβ)(v1) for all u1 and v1G1. Again

    h1(μα)(u11)=μα(h(u11))=μα(h(u1)1)=μα(h(u1))=h1(μα)(u1).

    Therefore h1(μα)(u11)=h1(μα)(u1) for all u1G1.

    Similarly, we can show that h1(νβ)(u11)=h1(νβ)(u1) for all u1G1.

    Hence h1(ψ)=(h1(μα),h1(νβ)) is an (α,β)-PFSG of the group G1.

    Definition 4.2. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G. Then the (α,β)-Pythagorean fuzzy normalizer of ψ is denoted by (ψ) and defined by

    (ψ)={u| uG, μα(p)=μα(upu1) and νβ(u)=νβ(upu1) for all pG.

    Example 4.2. We consider the (α,β)-PFSG ψ1=(μα1,νβ1) of the group G1=(Z,+) in Example 4.1.

    Then the (α,β)-Pythagorean fuzzy normalizer of ψ is (ψ)=Z.

    Theorem 4.3. Let ψ=(μα,νβ) be an (α,β)-PFSG of a finite group G. Then (α,β)-Pythagorean fuzzy normalizer (ψ) is a subgroup of the group G.

    Proof. Let u and v be two elements of (ψ).

    Then we have

    μα(p)=μα(upu1), νβ(p)=νβ(upu1) pG (4.1)

    and

    μα(q)=μα(vqv1), νβ(q)=νβ(vqv1) qG. (4.2)

    Clearly e(ψ), so (ψ) is a non-empty finite subset of G.

    To show that (ψ) is a subgroup of G, it is enough to show uv(ψ).

    Now put p=vqv1 in (4.1), we have

    μα(vqv1)=μα(uvqv1u1) and νβ(vqv1)=νβ(uvqv1u1). (4.3)

    Then by applying (4.2) in (4.3), we get μα(q)=μα(uvqv1u1) and νβ(q)=νβ(uvqv1u1).

    This implies that μα(q)=μα((uv)q(uv)1) and νβ(q)=νβ((uv)q(uv)1).

    Therefore uv(ψ).

    Hence (ψ) is a subgroup of the group G.

    Proposition 4.1. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G. Then ψ=(μα,νβ) is an (α,β)-PFNSG of the group G if and only if (ψ)=G.

    Proof. We have (ψ)={u| uG, μα(p)=μα(upu1) and νβ(u)=νβ(upu1) for all pG.

    Therefore (ψ)G.

    Let ψ=(μα,νβ) be a (α,β)-PFNSG of a group G.

    Then we have μα(u)=μα(vuv1) and νβ(u)=νβ(vuv1) for all u,vG.

    This shows that G(ψ).

    Hence (ψ)=G.

    Conversely, let (ψ)=G.

    Then μα(u)=μα(vuv1) and νβ(u)=νβ(vuv1) for all u,vG.

    Therefore ψ=(μα,νβ) is an (α,β)-PFNSG of the group G.

    Proposition 4.2. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G. Then ψ is an (α,β)-PFNSG of the group (ψ).

    Proof. Let u and v be any elements of (ψ).

    Then μα(w)=μα(uwu1) and νβ(w)=νβ(uwu1) for all wG.

    Since (ψ) is a subgroup of the group G, then vu(ψ).

    Putting w=vu in the above relation we get

    μα(vu)=μα(uvuu1) and νβ(vu)=νβ(uvuu1).

    This implies that μα(vu)=μα(uv) and νβ(vu)=νβ(uv), which is a necessary condition for an (α,β)-PFSG to be an (α,β)-PFNSG of a group.

    Hence ψ is an (α,β)-PFNSG of the group (ψ).

    Definition 4.3. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G. Then (α,β)-Pythagorean fuzzy centralizer of ψ is denoted by Cψ and defined by Cψ={u| uG, μα(uv)=μα(vu) and νβ(uv)=νβ(vu)} for all vG.

    Example 4.3. We consider the (α,β)-PFSG ψ of the Klein's 4-group V4 in Example 3.1.

    Then the (α,β)-Pythagorean fuzzy centralizer of ψ is Cψ=V4.

    Theorem 4.4. (α,β)-Pythagorean fuzzy centralizer of an (α,β)-PFSG of a group is a subgroup of that group.

    Proof. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G.

    Then (α,β)-Pythagorean fuzzy centralizer of ψ is given by

    Cψ={u| uG, μα(uv)=μα(vu) and νβ(uv)=νβ(vu)} for all vG.

    Let p and q be any two elements of Cψ. Now for any rG, we have

    μα((pq)r)=μα(p(qr))=μα((qr)p)=μα(q(rp))=μα((rp)q)=μα(r(pq)).

    Therefore μα((pq)r)=μα(r(pq)) for all rG.

    Similarly, we can show that νβ((pq)r)=νβ(r(pq)) for all rG.

    This shows that pqCψ. Again for any sG, we have

    μα(p1s)=μα((s1p)1)=μα(s1p)=μα(ps1)=μα((sp1)1)=μα(sp1).

    Therefore μα(p1s)=μα(sp1) for all sG.

    Similarly, we can prove that νβ(p1s)=νβ(sp1) for all sG.

    This proves that for pCψ, we have p1Cψ.

    Hence Cψ is a subgroup of the group G.

    In this section, we introduce the notion of (α,β)-Pythagorean fuzzy quotient group of an (α,β)-Pythagorean fuzzy subgroup and define the index of an (α,β)-Pythagorean fuzzy subgroup. We prove Lagrange's theorem for (α,β)-Pythagorean fuzzy subgroup.

    Theorem 5.1. Let ψ=(μα,νβ) be an (α,β)-PFNSG of a finite group G and Φ be the collection of all (α,β)-Pythagorean fuzzy cosets of ψ in G. Then Φ forms a group under the composition uψvψ=(uv)ψ for all u,vG.

    Proof. To show (Φ,) is a group under the composition uψvψ=(uv)ψ for all u,vG, first we have to show that this is a well defined binary operation.

    Let u,v,w,x be elements of G such that uψ=wψ and vψ=xψ.

    That is uμα(p)=wμα(p), uνβ(p)=wνβ(p) and vμα(p)=xμα(p), vνβ(p)=xνβ(p)pG.

    This implies that for all pG,

    μα(u1p)=μα(w1p), νβ(u1p)=νβ(w1p) (5.1)

    and

    μα(v1p)=μα(x1p), νβ(v1p)=νβ(x1p). (5.2)

    We have to show that uψvψ=wψxψ.

    That is (uv)ψ=(wx)ψ.

    We have (uv)μα(p)=μα(v1u1p) and (wx)μα(p)=μα(x1w1p)pG. Now

    μα(v1u1p)=μα(v1u1ww1p)=μα(v1u1wxx1w1p)μα(v1u1wx)μα(x1w1p).

    So,

    μα(v1u1p)μα(v1u1wx)μα(x1w1p) pG. (5.3)

    Putting p=u1wx in (5.2), we get

    μα(v1u1wx)=μα(x1u1wx).

    Since ψ=(μα,νβ) is an (α,β)-PFNSG of G, then μα(x1u1wx)=μα(u1w).

    Putting p=w in (5.1), we get

    μα(u1w)=μα(w1w)=μα(e).

    Consequently, μα(v1u1wx)=μα(e).

    So from (5.3), we have μα(v1u1p)μα(x1w1p).

    Similarly, we can show that μα(x1w1p)μα(v1u1p).

    Therefore μα(v1u1p)=μα(x1w1p), pG.

    Similarly, we can prove that νβ(v1u1p)=νβ(x1w1p), pG.

    This shows that, (uv)μα(p)=(wx)μα(p) and (uv)νβ(p)=(wx)νβ(p), pG.

    Consequently, (uv)ψ=(wx)ψ.

    Hence the composition is well defined on Φ.

    Since G is a finite group, then there is no ambiguity in closed and associativity of the composition on Φ.

    Clearly, eψ is the identity of Φ.

    Also, inverse of any element uψ of Φ is u1ψΦ.

    That is (uψ)(u1ψ)=eψ.

    Hence (Φ,) is a group under the composition uψvψ=(uv)ψ for all u,vG.

    Definition 5.1. Order of the group (Φ,), collection of all (α,β)-Pythagorean fuzzy cosets of an (α,β)-PFNSG ψ in a finite group G is called the index of ψ and denoted by [G:ψ].

    Example 5.1. Let us consider the group G=(Z3,+3), where '+3' is addition of integers modulo 3.

    Define the α-membership value and β-non-membership value of the elements of Z3 by

    μα(0)=0.8, μα(1)=0.7, μα(2)=0.7,νβ(0)=0.1, νβ(1)=0.2, νβ(2)=0.2.

    We can easily varify that ψ=(μα,νβ) is an (α,β)-PFNSG of the group G=(Z3,+3).

    Then the collection of all (α,β)-Pythagorean fuzzy cosets of ψ, Φ={0ψ,1ψ,2ψ}.

    Now (1μα)(1)=μα(11+31)=μα(2+31)=μα(0)=0.8 and (2μα)(1)=μα(21+31)=μα(1+31)=μα(2)=0.7.

    Therefore (1μα)(1)(2μα)(1). This shows that 1ψ2ψ.

    Hence the index of ψ, [G:ψ]=3.

    Theorem 5.2. Let ψ=(μα,νβ) be an (α,β)-PFNSG of a finite group G. Then an (α,β)-PFS Ψ=(μα,νβ) of Φ defined by μα(uμα)=μα(u) and νβ(uνβ)=νβ(u) is an (α,β)-PFSG of the group (Φ,) for all uG.

    Proof. Let uψ and vψ be any two elements of Φ, where u,vG. Now

    μα((uμα)(vμα))=μα((uv)μα)=μα(uv)μα(u)μα(v)=μα(uμα)μα(vμα).

    Therefore μα((uμα)(vμα))μα(uμα)μα(vμα).

    Similarly, we can show that νβ((uνβ)(vνβ))νβ(uνβ)νβ(vνβ).

    Again, μα(u1μα)=μα(u1)=μα(u)=μα(uμα).

    Similarly, we have νβ(u1νβ)=νβ(uνβ).

    Hence Ψ=(μα,νβ) is an (α,β)-PFSG of the group (Φ,).

    Definition 5.2. Let ψ=(μα,νβ) be an (α,β)-PFNSG of a finite group G. Then the (α,β)-PFSG Ψ=(μα,νβ) of the group (Φ,) is called (α,β)-Pythagorean fuzzy quotient group of ψ.

    Example 5.2. We consider the (α,β)-PFNSG ψ of the group (Z,+3) in Example 5.1.

    Therefore the collection of all (α,β)-Pythagorean fuzzy cosets of ψ, Φ={0ψ,1ψ,2ψ}.

    We define an (α,β)-PFS Ψ=(μα,νβ) of Φ by μα(uμα)=μα(u) and νβ(uνβ)=νβ(u).

    Then μα(0μα)=μα(0)=0.8, μα(1μα)=μα(1)=0.7, μα(2μα)=μα(2)=0.7 and

    νβ(0νβ)=νβ(0)=0.1, νβ(1νβ)=νβ(1)=0.2, νβ(2νβ)=νβ(2)=0.2.

    Now we can easily check that Ψ=(μα,νβ) is an (α,β)-PFSG of Φ.

    Therefore Ψ=(μα,νβ) is the (α,β)-Pythagorean fuzzy quotient group of ψ.

    Theorem 5.3. Let ψ=(μα,νβ) be an (α,β)-PFNSG of a finite group G and Φ be the collection of all (α,β)-Pythagorean fuzzy cosets of ψ in G. We define a mapping Δ:GΦ by Δ(u)=uψ for all uG. Then Δ is a group homomorphism from G to Φ with kernel (Δ)={uG| μα(u)=μα(e), νβ(u)=νβ(e).

    Proof. We have Δ:GΦ defined by Δ(u)=uψ for all uG.

    Let u and v be any elements of G. Then we have Δ(uv)=(uv)ψ=(uψ)(vψ)=Δ(u)Δ(v).

    This proves that Δ is a group homomorphism from G to Φ.

    Now the kernel of Δ is given by

    ker(Δ)={uG|Δ(u)=eψ}={uG|uψ=eψ}={uG|uψ(v)=eψ(v), vG}={uG|uμα(v)=eμα(v), uνβ(v)=eνβ(v), vG}={uG|μα(u1v)=μα(v), νβ(u1v)=νβ(v), vG}={uG|μα(u)=μα(e), νβ(u)=νβ(e)}.

    Hence ker(Δ)={uG|μα(u)=μα(e), νβ(u)=νβ(e)}.

    Remark 5.1. ker(Δ) is a subgroup of the group G.

    Theorem 5.4. (An approach to Lagrange's theorem in (α,β)-PFSG)

    Let ψ=(μα,νβ) be an (α,β)-PFNSG of a finite group G. Then [G:ψ] divides O(G).

    Proof. We have ψ=(μα,νβ) is an (α,β)-PFNSG of a finite group G.

    Then Φ={uψ|uG}, the collection of all (α,β)-PFC of ψ in G is also finite.

    In Theorem 5.3, We have seen that there is a group homomorphism Δ from G to Φ by Δ(u)=uψ for all uG.

    We set M={uG|uψ=eψ}.

    Then M=ker(Δ), which is a subgroup of G.

    Now, we decompose G as a disjoint union of left cosets of G modulo m as follows

    G=u1M  u2M  u3M umM

    where umM=M.

    We have to show that there is a one-one correspondence between cosets uiM of G and the elements of Φ.

    We consider any coset uiM of G and any element mM.

    Then we have Δ(uim)=uimψ=(uiψ)(mψ)=(uiψ)(eψ)=(uiψ).

    This shows that Δ maps every element of uiM to the (α,β)-PFC uiψ.

    Now, we construct a mapping Δ_ between {uiM| 1im} and Φ by Δ_(uiM)=uiψ.

    Let upψ=uqψ. Then we have u1qupψ=eψ.

    Therefore u1qupM.

    This implies that upM=uqM.

    Hence Δ_(uiM)=uiψ is a one-one mapping.

    Therefore we can conclude that the number of distinct cosets is equal to the cardinality of Φ.

    That is [G:M]=[G:ψ].

    Since [G:M] divides O(G), then [G:ψ] must divide O(G).

    Lagrange's theorem is a very useful theorem in finite group theory. Now we will give some applications of this theorem in (α,β)-Pythagorean fuzzy subgroups.

    Corollary 5.1. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G. Then O(u)|(α,β)-PFO (u)ψ for all uG.

    Proof. Let u be any element of G and O(u)=k, where k is a positive integer.

    Then uk=e, where e is the identity element of G.

    We consider H=<u> is a subgroup of G.

    Now, μα(u2)μα(u)μα(u)=μα(u) and νβ(u2)νβ(u)νβ(u)=νβ(u).

    Thus by induction, we can show that μα(up)μα(u) and νβ(up)νβ(u) for all positive integer p.

    So, u, u2, , ukΩ(u). Consequently, HΩ(u).

    Therefore H is a subgroup of Ω(u).

    Thus by Lagrange's theorem, O(H)|O(Ω(u)).

    Therefore O(u)|(α,β)-PFO (u)ψ.

    Since u is an arbitrary element of G, O(u)|(α,β)-PFO (u)ψ for all uG.

    Corollary 5.2. Let ψ=(μα,νβ) be an (α,β)-PFSG of a group G. Then (α,β)-Pythagorean fuzzy order of each element of G in ψ divides the order of the group.

    Proof. According to the definition of (α,β)-Pythagorean fuzzy order of an element of G in ψ, (α,β)-PFO (u)ψ=O(Ω(u)) for all uG.

    From Theorem 3.1, Ω(u) is a subgroup of the group G.

    Therefore by Lagrange's theorem, the order of Ω(u) divides the order of the group (G,).

    That is O(Ω(u))|O(G).

    This implies that (α,β)-PFO (u)ψ|O(G) for all uG.

    Hence (α,β)-Pythagorean fuzzy order of each element of G in ψ divides the order of the group.

    The purpose of this paper is to explore the study of (α,β)-Pythagorean fuzzy subgroups. The whole paper revolved around the development of theories for fuzzification of Lagrange's theorem in (α,β)-Pythagorean fuzzy subgroups. All the sections of this paper are arranged in such a way that we can approach Lagrange's theorem. We have introduced the concept of relative subgroup of a group and defined the notion of (α,β)-Pythagorean fuzzy order of an element in (α,β)-PFSG. Various algebraic attributes of it are discussed. We have established a relation between order and (α,β)-Pythagorean fuzzy order of an element in a group and defined the extension principle for (α,β)-Pythagorean fuzzy sets. It is shown that homomorphic image and pre-image of an (α,β)-PFSG is also an (α,β)-PFSG. Further, the concept of (α,β)-Pythagorean fuzzy normalizer and (α,β)-Pythagorean fuzzy centralizer of an (α,β)-PFSG are given. We have proved that (α,β)-Pythagorean fuzzy normalizer and (α,β)-Pythagorean fuzzy centralizer of an (α,β)-PFSG are subgroups of that group. Moreover, we have introduced (α,β)-Pythagorean fuzzy quotient group and defined the index of an (α,β)-PFSG. Finally, we have presented the (α,β)-Pythagorean fuzzy version of Lagrange's theorem. We have produced some applications of Lagrange's theorem in (α,β)-Pythagorean fuzzy subgroups. In future, we will work on the number of (α,β)-Pythagorean fuzzy subgroups of a group.

    This research work of first author is sponsored by Council of Scientific and Industrial Research (CSIR), Human Resource Development Group (HRDG), INDIA. Sanctioned file no. is 09/599(0081)/2018-EMR-I. This work is partially supported by Research Council Faroe Islands and University of the Faroe Islands for the third author. The authors are grateful to the anonymous referees for a careful checking of the details and for helpful comments that improved the overall presentation of this paper.

    All authors declare that there is no conflict of interest.

    [1] Byrne EM, McRae AF, Zhao ZZ, et al. (2008) The use of common mitochondrial variants to detect and characterise population structure in the Australian population: implications for genome-wide association studies. Eur J Hum Genet 16: 1396-1403. doi: 10.1038/ejhg.2008.117
    [2] Bonatto SL, Salzano FM (1997) A single and early migration for the peopling of the Americas supported by mitochondrial DNA sequence data. Proc Natl Acad Sci USA 94: 1866-1871. doi: 10.1073/pnas.94.5.1866
    [3] Wallace DC (1994) Mitochondrial DNA sequence variation in human evolution and disease. Proc Natl Acad Sci USA 91: 8739-8746. doi: 10.1073/pnas.91.19.8739
    [4] Wallace DC, Brown MD, Lott MT (1999) Mitochondrial DNA variation in human evolution and disease. Gene 238: 211-230. doi: 10.1016/S0378-1119(99)00295-4
    [5] Wilson MR, DiZinno JA, Polanskey D, et al. (1995) Validation of mitochondrial DNA sequencing for forensic casework analysis. Int J Leg Med 108: 68-74. doi: 10.1007/BF01369907
    [6] Salas A, Lareu V, Calafell F, et al. (2000) mtDNA hypervariable region II (HVII) sequences in human evolution studies. Eur J Hum Genet 8: 964-974. doi: 10.1038/sj.ejhg.5200563
    [7] Baasner A, Schäfer C, Junge A, et al. (1998) Polymorphic sites in human mitochondrial DNA control region sequences: population data and maternal inheritance. Forensic Sci Int 98: 169-178. doi: 10.1016/S0379-0738(98)00163-7
    [8] Johnson DC, Shrestha S, Wiener HW, et al. (2015) Mitochondrial DNA diversity in the African American population. Mitochondrial DNA 26: 445-451. doi: 10.3109/19401736.2013.840591
    [9] Comas D, Reynolds R, Sajantila A (1999) Analysis of mtDNA HVRII in several human populations using an immobilised SSO probe hybridisation assay. Eur J Hum Genet 7: 459-468. doi: 10.1038/sj.ejhg.5200326
    [10] Shokralla S, Spall JL, Gibson JF, et al. (2012) Next‐generation sequencing technologies for environmental DNA research. Mol Ecol 21: 1794-1805. doi: 10.1111/j.1365-294X.2012.05538.x
    [11] Ficetola GF, Miaud C, Pompanon F, et al. (2008) Species detection using environmental DNA from water samples. Biol Lett 4: 423-425. doi: 10.1098/rsbl.2008.0118
    [12] Glassmeyer ST, Furlong ET, Kolpin DW, et al. (2005) Transport of chemical and microbial compounds from known wastewater discharges: potential for use as indicators of human fecal contamination. Environ Sci Technol 39: 5157-5169. doi: 10.1021/es048120k
    [13] Kapoor V, DeBry RW, Boccelli DL, et al. (2014) Sequencing human mitochondrial hypervariable region II as a molecular fingerprint for environmental waters. Environ Sci Technol 48: 10648-10655. doi: 10.1021/es503189g
    [14] Kapoor V, Smith C, Santo Domingo JW, et al. (2013) Correlative assessment of fecal indicators using human mitochondrial DNA as a direct marker. Environ Sci Technol 47: 10485-10493.
    [15] Martellini A, Payment P, Villemur R (2005) Use of eukaryotic mitochondrial DNA to differentiate human, bovine, porcine and ovine sources in fecally contaminated surface water. Water Res 39: 541-548. doi: 10.1016/j.watres.2004.11.012
    [16] Caldwell JM, Raley ME, Levine JF (2007) Mitochondrial multiplex real-time PCR as a source tracking method in fecal-contaminated effluents. Environ Sci Technol 41: 3277-3283. doi: 10.1021/es062912s
    [17] Martinuzzi S, Gould WA, González OMR (2007) Land development, land use, and urban sprawl in Puerto Rico integrating remote sensing and population census data. Landscape Urban Plan 79: 288-297. doi: 10.1016/j.landurbplan.2006.02.014
    [18] Toledo-Hernandez C, Ryu H, Gonzalez-Nieves J, et al. (2013) Tracking the primary sources of fecal pollution in a tropical watershed in a one-year study. Appl Environ Microbiol 79: 1689-1696. doi: 10.1128/AEM.03070-12
    [19] Kapoor V, Pitkänen T, Ryu H, et al. (2015) Distribution of human-specific bacteroidales and fecal indicator bacteria in an urban watershed impacted by sewage pollution, determined using RNA-and DNA-based quantitative PCR assays. Appl Environ Microbiol 81: 91-99. doi: 10.1128/AEM.02446-14
    [20] Schloss PD, Westcott SL, Ryabin T, et al. (2009) Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol 75: 7537-7541. doi: 10.1128/AEM.01541-09
    [21] Andrews RM, Kubacka I, Chinnery PF, et al. (1999) Reanalysis and revision of the Cambridge reference sequence for human mitochondrial DNA. Nat Genet 23: 147-147. doi: 10.1038/13779
    [22] Brandon MC, Lott MT, Nguyen KC, et al. (2005) MITOMAP: a human mitochondrial genome database-2004 update. Nucleic Acids Res 33: D611-D613. doi: 10.1093/nar/gki399
    [23] Ingman M, Gyllensten U (2006) mtDB: Human Mitochondrial Genome Database, a resource for population genetics and medical sciences. Nucleic Acids Res 34: D749-D751. doi: 10.1093/nar/gkj010
    [24] van Oven M, Kayser M (2009) Updated comprehensive phylogenetic tree of global human mitochondrial DNA variation. Hum Mutat 30: E386-E394. doi: 10.1002/humu.20921
    [25] Brandon MC, Ruiz‐Pesini E, Mishmar D, et al. (2009) MITOMASTER: a bioinformatics tool for the analysis of mitochondrial DNA sequences. Hum Mutat 30: 1-6. doi: 10.1002/humu.20801
    [26] Röck AW, Dür A, van Oven M, et al. (2013) Concept for estimating mitochondrial DNA haplogroups using a maximum likelihood approach (EMMA). Forensic Sci Int Genet 7: 601-609. doi: 10.1016/j.fsigen.2013.07.005
    [27] Lee C, Măndoiu II, Nelson CE (2011) Inferring ethnicity from mitochondrial DNA sequence. BMC Proc 5: S11.
    [28] Richards M, Macaulay V, Hickey E, et al. (2000) Tracing European founder lineages in the Near Eastern mtDNA pool. Am J Hum Genet 67: 1251-1276. doi: 10.1016/S0002-9297(07)62954-1
    [29] Roostalu U, Kutuev I, Loogväli EL, et al. (2007) Origin and Expansion of Haplogroup H, the Dominant Human Mitochondrial DNA Lineage in West Eurasia: The Near Eastern and Caucasian Perspective. Mol Biol Evol 24: 436-448. doi: 10.1093/molbev/msl173
    [30] Martínez‐Cruzado JC, Toro‐Labrador G, Viera‐Vera J, et al. (2005) Reconstructing the population history of Puerto Rico by means of mtDNA phylogeographic analysis. Am J Phy Anthropol 128: 131-155. doi: 10.1002/ajpa.20108
    [31] U.S. Census Bureau 2010 Census of Population and Housing, Summary Population and Housing Characteristics, CPH-1-53, Puerto Rico U.S. Government Printing Office, Washington, DC.
    [32] Guardado-Estrada M, Juarez-Torres E, Medina-Martinez I, et al. (2009) A great diversity of Amerindian mitochondrial DNA ancestry is present in the Mexican mestizo population. J Human Genetics 54: 695-705. doi: 10.1038/jhg.2009.98
    [33] Krings M, Geisert H, Schmitz RW, et al. (1999) DNA sequence of the mitochondrial hypervariable region II from the Neandertal type specimen. Proc Nat Acad Sci 96: 5581-5585. doi: 10.1073/pnas.96.10.5581
    [34] Ovchinnikov IV, Götherström A, Romanova GP, et al. (2000) Molecular analysis of Neanderthal DNA from the northern Caucasus. Nature 404: 490-493. doi: 10.1038/35006625
  • This article has been cited by:

    1. Supriya Bhunia, Ganesh Ghorai, Qin Xin, Muhammad Gulzar, On the Algebraic Attributes of (α, β)-Pythagorean Fuzzy Subrings and (α, β)-Pythagorean Fuzzy Ideals of Rings, 2022, 10, 2169-3536, 11048, 10.1109/ACCESS.2022.3145376
    2. Hongping Liu, Qian Ge, Ruiju Wei, On a new kind of ordered fuzzy group, 2022, 43, 10641246, 187, 10.3233/JIFS-212027
    3. Supriya Bhunia, Ganesh Ghorai, Marwan Amin Kutbi, Muhammad Gulzar, Md Ashraful Alam, Sarfraz Nawaz Malik, On the Algebraic Characteristics of Fuzzy Sub e-Groups, 2021, 2021, 2314-8888, 1, 10.1155/2021/5253346
    4. Abd Ulazeez Alkouri, Eman A. Abuhijleh, Eman Almuhur, Ghada Alafifi, Sana Abu-Ghurra, Subgroups and Homomorphism Structures of Complex Pythagorean Fuzzy Sets, 2024, 23, 2224-2880, 614, 10.37394/23206.2024.23.65
  • Reader Comments
  • © 2017 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(5996) PDF downloads(1246) Cited by(3)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog