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Numerical and statistical analysis of auxiliary geometrical parameter effects on piano key weir discharge capacity

  • Received: 11 June 2024 Revised: 06 August 2024 Accepted: 14 August 2024 Published: 03 September 2024
  • Nowadays, piano key (PK) weir with an expanded crest length are often used to deal with surplus discharge in dams due to unexpected climate change effects, increasing safety. The present study deals with the numerical modelling of a group of PK weirs with auxiliary geometrical parameters to predict the flow over a PK weir using different FLOW-3D turbulence models. The numerical outcomes were compared with the experimental results to check the accuracy of the underlying FLOW-3D models. It was found that the k-𝜀 turbulence model of FLOW-3D estimated the flow over a piano key weir more closely to the experimental results than the RNG (renormalized group) and LES (large eddy simulation) models. Statistical parameters were used to evaluate the simulated results. It was observed that the coefficient of correlation (CC) was close to one and the root mean square error (RMSE) close to zero when numerical outcomes were compared with experimental datasets. The results show that the FLOW-3D software is quite effective in estimating the flow. Therefore, the present study will help to understand the best combination of mesh, models, adaption and convergence processes in simulation and provide an insight into the numerical analysis of flow configuration over PKW by considering one of the best numerical models.

    Citation: Binit Kumar, Rahil Ahmad, Manish Pandey, Anil Kumar Gupta. Numerical and statistical analysis of auxiliary geometrical parameter effects on piano key weir discharge capacity[J]. AIMS Environmental Science, 2024, 11(5): 723-740. doi: 10.3934/environsci.2024036

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  • Nowadays, piano key (PK) weir with an expanded crest length are often used to deal with surplus discharge in dams due to unexpected climate change effects, increasing safety. The present study deals with the numerical modelling of a group of PK weirs with auxiliary geometrical parameters to predict the flow over a PK weir using different FLOW-3D turbulence models. The numerical outcomes were compared with the experimental results to check the accuracy of the underlying FLOW-3D models. It was found that the k-𝜀 turbulence model of FLOW-3D estimated the flow over a piano key weir more closely to the experimental results than the RNG (renormalized group) and LES (large eddy simulation) models. Statistical parameters were used to evaluate the simulated results. It was observed that the coefficient of correlation (CC) was close to one and the root mean square error (RMSE) close to zero when numerical outcomes were compared with experimental datasets. The results show that the FLOW-3D software is quite effective in estimating the flow. Therefore, the present study will help to understand the best combination of mesh, models, adaption and convergence processes in simulation and provide an insight into the numerical analysis of flow configuration over PKW by considering one of the best numerical models.



    Fixed point theory is the most dynamic area of research, with numerous applications both in pure and applied mathematics. The formal theoretic approach of fixed point was originated from the work of Picard. However, it was the polish mathematician Banach [5] who underlined the idea into the abstract framework and provided a constructive tool called Banach construction principle to establish the fixed point of a mapping in complete metric space. Later, many authors attempted to generalize the notion of metric space such as quasimetric space, semimetric spaces etc. In this paper, we consider another generalization of a metric space, so called partial metric space which is a generalization of normal metric space portrayed in 1906 by Fréchet. This notion was introduced by Matthews [26]. The failure of a metric functions in computer science inspired him to introduced the concept of partial metrics. After introducing partial metric functions, Matthews [27] established the partial metric contraction theorem, this makes the partial metric function relevant in fixed point theory. In fact, partial metrics are more adaptable having broader topological properties than that of metrics and create partial orders. Heckmann [16] introduced the concept of weak partial metric function and established some fixed point results. Oltra and Valero [28] generalized the Matthews results in the sense of O'Neil in complete partial metric space. Abdeljawad et al. [1] considered a general form of the weak ϕ-contraction and established some common fixed point results. Karapinar [17] introduced generalized Seghal contraction and obtained a unique common fixed point for a pair of self mappings in complete partial metric space. Karapinar [18] generalized Cristi-Kirk's fixed point theorems using the concept of lower semi-continuous maps. Also, he proved some fixed point theorems in compact partial metric spaces. Karapinar and Erhan [24] established orbitally continuous operator and gave fixed point theorems. Chandok et al. [12] established some results for the existence and uniqueness of fixed point for a certain rational type contraction in partial metric space. Pant et al. [29] presented certain fixed point results for single and multivalued mappings in partial metric spaces. The results presented by Pant et al. [29] cannot be obtained from the corresponding results in metric space. Karapinar et al. [25] introduced rational type contraction and presented new results in partial metric space. To illustrate the usability of the results they provided the supportive example. Aydi et al. [2] established results on fixed point via a control function. Batsari and Kumam [6] established the existence, and uniqueness of globally stable fixed point of terminating mappings in partial metric space with some application in the space of probability density function. Later, many important results in partial metric space were established as an improvement and generalization of the existing results in the literature (see [7,8,9,10,11,13,15,22,27,30,31] and the references cited therein).

    Furthermore, another significant area of fixed point theory was brought in light by Karapinar [20], who revisited the well-known fixed point theorem of Kannan under the aspect of interpolation and proposed a new Kannan type contraction to maximize the rate of convergence. Gaba and Karapinar [14] proposed a refinement in the interpolative approach in fixed point theory and gave fixed points and common fixed points for Kannan type contractions. One may have more results in partial metric spaces by using the interpolative theory (see [1,3,4,14,19,21,23] and the references cited therein).

    In this manuscript, we establish some theorems for the existence and uniqueness of a fixed point in the framework of partial metric spaces using auxiliary functions. Our results generalize some existing results in the literature. To illustrate our results some examples are provided.

    In the sequel we recall the notion of a partial metric space and some of its properties which will be useful in the main section to establish few results.

    Definition 1.1. [26] Let X be a nonempty set. A function p:X×X[0,+) is called a partial metric space on X if the following hold:

    (i)p(ρ,σ)0 for all ρ,σX and p(ρ,ρ)=p(σ,σ)=p(ρ,σ) if and only if ρ=σ;

    (ii)p(ρ,ρ)p(ρ,σ) for all ρ,σX;

    (iii)p(ρ,σ)=p(σ,ρ) for all ρ,σX;

    (iv)p(ρ,σ)p(ρ,ξ)+p(ξ,σ)p(ξ,ξ) for all ρ,σ,ξX.

    Then the pair (X,p) is called a partial metric space.

    It is clear that, if p(ρ,σ)=0, then ρ=σ. But if ρ=σ, p(ρ,σ) may not be 0.

    Each partial metric p on X generates a T0 topology τp on X which has as a base the family of open p-balls {Bp(ρ,ϵ):ρX,ϵ>0}, where Bp(ρ,ϵ)={σX:p(ρ,σ)<p(ρ,ρ)+ϵ} for all ρX and ϵ>0.

    Similarly, closed p-ball is defined as Bp[ρ,ϵ]={σX:p(ρ,σ)p(ρ,ρ)+ϵ}.

    Remark 1.2. [12] If p is a partial metric on X, then dp:X×X[0,+) defined by

    dp(ρ,σ)=2p(ρ,σ)p(ρ,ρ)p(σ,σ)

    is a usual metric on X.

    Example 1.3. [12] Let I denote the set of all intervals [a,b] for any real numbers ab. Let p:I×I[0,) be a function such that p([a,b],[c,d])=max{b,d}min{a,c}. Then (I,p) is a partial metric space.

    Example 1.4. [12] Let X=R and p(ρ,σ)=emax{ρ,σ} for all ρ,σX. Then (X,p) is a partial metric space.

    Definition 1.5. [12]

    (i) A sequence {ρn} in a partial metric space (X, p) converges to ρX if and only if

    limnp(ρn,ρ)=p(ρ,ρ).

    (ii) A sequence {ρn} in a partial metric space (X, p) is called a Cauchy sequence if and only if

    limm,np(ρn,ρm)

    exists and is finite.

    (iii) A partial metric space (X,p) is said to be complete if every Cauchy sequence {ρn}X converges to a point ρX such that

    limnp(ρn,ρm)=p(ρ,ρ).

    The following lemmas in the literature will be useful in the proofs of the main results.

    Lemma 1.6. [12]

    (i) A sequence {ρn} is Cauchy in a partial metric space (X,p) if and only if {ρn} is Cauchy in a metric space (X,dp) where

    dp(ρ,σ)=2p(ρ,σ)p(ρ,ρ)p(σ,σ).

    (ii) A partial metric space (X,p) is complete if a metric space (X,dp) is complete, i.e.,

    limndp(ρ,ρn)=0limnp(ρn,ρ)=p(ρ,ρ)=limn,mp(ρn,ρm).

    Lemma 1.7. [12] Let (X,p) be a partial metric space.

    (i) If p(ρ,σ)=0, then ρ=σ.

    (ii) If ρσ, then p(ρ,σ)>0.

    Lemma 1.8. (see [12]). Let ρnξ as n in a partial metric space (X,p) where p(ξ,ξ)=0. Then limnp(ρn,σ)=p(ρ,σ) for all σX.

    The following classes of the auxiliary functions will be used later.

    1). Let Ψ be the family of continuous and monotone non-decreasing functions ψ:[0,)[0,) such that ψ(t)=0 if and only if t=0.

    2). Let Φ be the family of lower semi-continuous functions ϕ:[0,)[0,) such that ϕ(t)=0 if and only if t=0.

    Theorem 2.1. Let (X,p) be a complete partial metric space and T:XX be a self mapping satisfying

    ψ(p(Tρ,Tσ))ψ(M(ρ,σ))ϕ(N(ρ,σ))forallρ,σX, (2.1)

    where

    M(ρ,σ)=max{p(ρ,σ),p(ρ,Tρ),p(σ,Tσ),p(ρ,Tσ)+p(σ,Tρ)2,p(σ,Tσ)(1+p(ρ,Tρ))1+p(ρ,σ),p(ρ,Tρ)(1+p(ρ,Tρ))1+p(ρ,σ)},
    N(ρ,σ)=max{p(ρ,σ),p(ρ,Tρ),p(σ,Tσ),p(σ,Tσ)(1+p(ρ,Tρ))1+p(ρ,σ),p(ρ,Tρ)(1+p(ρ,Tρ))1+p(ρ,σ)}

    for all ψΨ and ϕΦ. Then T has a unique fixed point.

    Proof. Let ρ0X be an arbitrary point. Then we construct a sequence {ρn}X as follows:

    ρn+1=Tρnforn0.

    If there exists n such that ρn+1=ρn then ρn is a fixed point of T and the result is proved. Suppose that ρn+1ρn for all n0. Letting ρ=ρn1,σ=ρn, we have

    ψ(p(Tρn1,Tρn))ψ(M(ρn1,ρn))φ(N(ρn1,ρn)), (2.2)

    where

    M(ρn1,ρn)=max{p(ρn1,ρn),p(ρn1,Tρn1),p(ρn,Tρn),p(ρn1,Tρn)+p(ρn,Tρn1)2,p(ρn,Tρn)(1+p(ρn1,Tρn1))(1+p(ρn1,ρn)),p(ρn1,Tρn1)(1+p(ρn1,Tρn1))(1+p(ρn1,ρn))}=max{p(ρn1,ρn),p(ρn1,ρn),p(ρn,ρn+1),p(ρn1,ρn+1)+p(ρn,ρn)2,p(ρn,ρn+1)(1+p(ρn1,ρn))(1+p(ρn1,ρn)),p(ρn1,ρn)(1+p(ρn1,ρn))(1+p(ρn1,ρn))}=max{p(ρn1,ρn),p(ρn,ρn+1),p(ρn1,ρn+1)+p(ρn,ρn)2}. (2.3)

    From the triangular inequality, we have

    p(ρn1,ρn+1)p(ρn1,ρn)+p(ρn,ρn+1)p(ρn,ρn),

    or

    p(ρn1,ρn+1)+p(ρn,ρn)2p(ρn1,ρn)+p(ρn,ρn+1)2max{p(ρn1,ρn),p(ρn,ρn+1)}.

    By (2.3), we get

    M(ρn1,ρn)=max{p(ρn1,ρn),p(ρn,ρn+1)}, (2.4)
    N(ρn1,ρn)=max{p(ρn1,ρn),p(ρn1,Tρn1),p(ρn,Tρn),p(ρn,Tρn)(1+p(ρn1,Tρn1))(1+p(ρn1,ρn)),p(ρn1,Tρn1)(1+p(ρn1,Tρn1))(1+p(ρn1,ρn))}=max{p(ρn1,ρn),p(ρn1,ρn),p(ρn,ρn+1),p(ρn,ρn+1)(1+p(ρn1,ρn))(1+p(ρn1,ρn)),p(ρn1,ρn)(1+p(ρn1,ρn))(1+p(ρn1,ρn))}=max{p(ρn1,ρn),p(ρn,ρn+1)}.

    By (2.2), we get

    ψ(p(ρn,ρn+1)ψ(max(p(ρn,ρn+1),p(ρn1,ρn)))φ(max(p(ρn,ρn+1),p(ρn1,ρn))). (2.5)

    If p(ρn,ρn+1)>p(ρn1,ρn), then from (2.5), we have

    ψ(p(ρn,ρn+1)ψ(p(ρn,ρn+1))φ(p(ρn,ρn+1))<ψ(p(ρn,ρn+1))

    which is a contradiction since p(ρn,ρn+1)>0 by Lemma 1.7. So we have p(ρn,ρn+1)p(ρn1,ρn), that is, p(ρn,ρn+1) is a non increasing sequence of positive real numbers. Thus there exists L0 such that

    limnp(ρn,ρn+1)=L. (2.6)

    Suppose that L>0. Taking the lower limit in (2.5) as n and using (6) and the properties of ψ,φ, we have

    ψ(L)ψ(L)lim infnφ(p(ρn1,ρn))ψ(L)φ(L)<ψ(L),

    which is a contradiction. Therefore

    limnp(ρn,ρn+1)=0. (2.7)

    Using

    dp(ρn,ρn+1)=2p(ρ,σ)p(ρ,ρ)p(σ,σ),

    we have

    dp(ρn,ρn+1)2p(ρn,ρn+1).

    This implies

    dp(ρn,ρn+1)=0. (2.8)

    Now, we shall show that limn,mp(ρn,ρm)=0. On the contrary, assume that limn,mp(ρn,ρm)0. Then there exists ϵ>0 for which there exist two subsequences {ρm(k)} and {ρn(k)} of {ρn} such that n(k) is the smallest index for which

    n(k)>m(k)>k,p(ρn(k),ρm(k))>ϵ. (2.9)

    This implies

    p(ρn(k)1,ρm(k))<ϵ. (2.10)

    From (2.9) and (2.10), we have

    ϵp(ρn(k),ρm(k))p(ρn(k),ρn(k)1)+p(ρn(k)1,ρm(k))p(ρn(k)1,ρn(k)1)p(ρn(k),ρn(k)1)+p(ρn(k)1,ρm(k))<ϵ+p(ρn(k),ρn(k)1).

    Taking the limit k and using (2.10), we get

    limkp(ρn(k),ρm(k))=ϵ. (2.11)

    By the triangle inequality, we have

    p(ρn(k),ρm(k))p(ρn(k),ρn(k)1)+p(ρn(k)1,ρm(k))p(ρn(k)1,ρn(k)1)p(ρn(k),ρn(k)1)+p(ρn(k)1,ρm(k))p(ρn(k),ρn(k)1)+p(ρn(k)1,ρm(k)1)+p(ρm(k)1,ρm(k))p(ρm(k)1,ρm(k)1)p(ρn(k),ρn(k)1)+p(ρn(k)1,ρm(k)1)+p(ρm(k)1,ρm(k)),
    p(ρn(k)1,ρm(k)1)p(ρn(k)1,ρn(k))+p(ρn(k),ρm(k)1)p(ρn(k),ρn(k))p(ρn(k)1,ρn(k))+p(ρn(k),ρm(k)1)p(ρn(k)1,ρn(k))+p(ρn(k),ρm(k))+p(ρm(k),ρm(k)1)p(ρm(k),ρm(k))p(ρn(k)1,ρn(k))+p(ρn(k),ρm(k))+p(ρm(k),ρm(k)1).

    Taking the limit k in the above two inequalities and using (2.7) and (2.11), we get

    limkp(ρn(k)1,ρm(k)1)=ϵ. (2.12)

    Now from (2.1), we have

    ψ(p(ρm(k),ρn(k)))=ψ(p(Tρm(k)1,Tρn(k)1))ψ(M(ρm(k)1,ρn(k)1))φ(N(ρm(k)1,ρn(k)1)), (2.13)

    where

    M(ρm(k)1,ρn(k)1)=max{p(ρm(k)1,ρn(k)1),p(ρm(k)1,Tρm(k)1),p(ρn(k)1,Tρn(k)1),p(ρm(k)1,Tρn(k)1)+p(ρn(k)1,Tρm(k)1)2,p(ρm(k)1,Tρm(k)1)(1+p(ρm(k)1,Tρm(k)1))1+p(ρm(k)1,ρn(k)1),p(ρn(k)1,Tρn(k)1)(1+p(ρm(k)1,Tρm(k)1))1+p(ρm(k)1,ρn(k)1)}=max{p(ρm(k)1,ρn(k)1),p(ρm(k)1,ρm(k)),p(ρn(k)1,ρn(k)),p(ρm(k)1,ρn(k))+p(ρn(k)1,ρm(k))2,p(ρm(k)1,ρm(k))(1+p(ρm(k)1,ρm(k)))1+p(ρm(k)1,ρn(k)1),p(ρn(k)1,ρn(k))(1+p(ρm(k)1,ρm(k)))1+p(ρm(k)1,ρn(k)1)}. (2.14)

    By the triangular inequality, we have

    p(ρm(k)1,ρn(k))p(ρm(k)1,ρm(k))+p(ρm(k),ρn(k))p(ρm(k),ρm(k)), (2.15)
    p(ρn(k)1,ρm(k))p(ρn(k)1,ρn(k))+p(ρn(k),ρm(k))p(ρn(k),ρn(k)). (2.16)

    From (2.15) and (2.16), we have

    p(ρn(k)1,ρm(k))+p(ρm(k)1,ρn(k))p(ρm(k)1,ρm(k))+p(ρn(k)1,ρn(k))+2p(ρn(k),ρm(k))p(ρm(k),ρm(k))p(ρn(k),ρn(k)). (2.17)

    Using (2.17) and (2.14), we get

    M(ρm(k)1,ρn(k)1)=max{p(ρm(k)1,ρn(k)1),p(ρm(k)1,ρm(k)),p(ρn(k)1,ρn(k)),p(ρm(k)1,ρm(k))+p(ρn(k1),ρn(k))+2p(ρn(k),ρm(k))p(ρm(k),ρm(k))p(ρn(k),ρn(k))2,p(ρm(k)1,ρm(k))(1+p(ρm(k)1,ρm(k)))1+p(ρm(k)1,ρn(k)1),p(ρn(k)1,ρn(k))(1+p(ρm(k)1,ρm(k)))1+p(ρm(k)1,ρn(k)1)}. (2.18)

    Taking the limit as k and using (2.6), (2.10) and (2.11), we have

    limkM(ρm(k)1,ρn(k)1)=max{0,ϵ}=ϵ, (2.19)
    N(ρm(k)1,ρn(k)1)=max{p(ρm(k)1,ρn(k)1),p(ρm(k)1,ρm(k)),p(ρn(k)1,ρn(k)),
    p(ρn(k)1,ρn(k))(1+p(ρm(k)1,ρm(k)))1+p(ρm(k)1,ρn(k)1),p(ρm(k)1,ρm(k))(1+p(ρm(k)1,ρm(k)))1+p(ρm(k)1,ρn(k)1)}.

    Taking the limit as k and using (2.6), (2.10) and (2.11), we have

    limkN(ρm(k)1,ρn(k)1)=ϵ. (2.20)

    Now taking the lower limit when k in (2.13) and using (2.10) and (2.12), we have

    ψ(ϵ)ψ(ϵ)lim infkφ(N(ρm(k)1,ρn(k)1))ψ(ϵ)φ(ϵ)<ψ(ϵ),

    which is a contradiction. So we have

    limn,mp(ρn,ρm)=0.

    Since limn,mp(ρn,ρm) exists and is finite, we conclude that ρn is a Cauchy sequence in (X,p). Using Remark 1.2, we have

    dp(ρn,ρm)2p(ρn,ρm).

    Therefore,

    limn,mdp(ρn,ρm)=0. (2.21)

    Thus by Lemma 1.6, {ρn} is a Cauchy sequence in both (X,dp) and (X,p). Since (X,p) is a complete partial metric space, there exists ρX such that

    limnp(ρn,ρ)=p(ρ,ρ).

    Since limn,mp(ρn,ρm)=0, by Lemma 1.6, we have p(ρ,ρ)=0. Now, we shall prove that ρ is a fixed point of T. Suppose that Tρρ. From (2.1) and using Lemma 1.8, we have

    ψ(p(ρn,Tρ))=ψ(p(Tρn1,Tρ)ψ(max{p(ρn1,ρ),p(ρn1,Tρn1),p(ρ,Tρ),p(ρn1,Tρn1)(1+p(ρn1,Tρn1))1+p(ρn1,ρ),p(ρ,Tρ)(1+p(ρn1,Tρn1)))1+p(ρn1,ρ),p(ρn1,Tρ)+p(ρ,Tρn1)2})φ(max{p(ρn1,ρ),p(ρn1,Tρn1),p(ρ,Tρ),p(ρ,Tρ)(1+p(ρn1,Tρn1))1+p(ρn1,ρ),p(ρn1,Tρn1)(1+p(ρn1,Tρn1))1+p(ρn1,ρ)}). (2.22)

    Letting the limit n in the above inequality and using the property of φ,ψ, we have

    ψ(p(ρ,Tρ))ψ(max{p(ρ,ρ),p(ρ,Tρ),p(ρ,Tρ)(1+p(ρ,ρ))1+p(ρ,ρ),p(ρ,Tρ)+p(ρ,ρ)2})φ(max{p(ρ,ρ),p(ρ,Tρ)})ψ(p(ρ,Tρ))φ(p(ρ,Tρ))<ψ(p(ρ,Tρ)),

    which is a contradiction. Thus Tρ=ρ, i.e., ρ is a fixed point of T. Finally to prove uniqueness, suppose that σ is another fixed point of T such that ρσ. From (2.1), we have

    ψ(p(ρ,σ))=ψ(p(Tρ,Tσ))ψ(M(ρ,σ))φ(N(ρ,σ)), (2.23)

    where

    M(ρ,σ)=max{p(ρ,ρ),p(ρ,σ),p(σ,σ),p(ρ,ρ)(1+p(ρ,σ))1+p(ρ,σ),p(ρ,σ)+p(σ,ρ)2}=p(ρ,σ). (2.24)

    Similarly

    N(ρ,σ)=p(ρ,σ). (2.25)

    Using (2.24), (2.25) and (2.23), we have

    ψ(p(ρ,σ))ψ(p(ρ,σ))φ(p(ρ,σ))<ψ(p(ρ,σ)),

    which is a contradiction since p(ρ,σ)>0. Hence ρ=σ.

    Corollary 2.2. Let (X,p) be a complete partial metric space and T:XX be a self mapping satisfying

    ψ(p(Tρ,Tσ))ψ(M(ρ,σ))ϕ(M(ρ,σ))forallρ,σX,

    where

    M(ρ,σ)=max{p(ρ,σ),p(ρ,Tρ),p(σ,Tσ),p(ρ,Tσ)+p(σ,Tρ)2,p(σ,Tσ)(1+p(ρ,Tρ))1+p(ρ,σ),p(ρ,Tρ)(1+p(ρ,Tρ))1+p(ρ,σ)}

    for all ψΨ and ϕΦ. Then T has a unique fixed point.

    Corollary 2.3. Let (X,p) be a complete partial metric space and T:XX be a self mapping satisfying

    ψ(p(Tρ,Tσ))ψ(N(ρ,σ))ϕ(N(ρ,σ))forallρ,σX,

    where

    N(ρ,σ)=max{p(ρ,σ),p(ρ,Tρ),p(σ,Tσ),p(σ,Tσ)(1+p(ρ,Tρ))1+p(ρ,σ),p(ρ,Tρ)(1+p(ρ,Tρ))1+p(ρ,σ)}

    for all ψΨ and ϕΦ. Then T has a unique fixed point.

    Taking ψ to an identity mapping and ϕ(s)=(1k)s for all s0, where k(0,1), we obtain the following results.

    Corollary 2.4. Let (X,p) be a complete partial metric space and T:XX be a self mapping satisfying

    p(Tρ,Tσ)kmax{p(ρ,σ),p(ρ,Tρ),p(σ,Tσ),p(ρ,Tσ)+p(σ,Tρ)2,p(σ,Tσ)(1+p(ρ,Tρ))1+p(ρ,σ),p(ρ,Tρ)(1+p(ρ,Tρ))1+p(ρ,σ)}

    for all ρ,σX and k(0,1). Then T has a unique fixed point.

    Corollary 2.5. Let (X,p) be a complete partial metric space and T:XX be a self mapping satisfying

    p(Tρ,Tσ)kmax{p(ρ,σ),p(ρ,Tρ),p(σ,Tσ),p(σ,Tσ)(1+p(ρ,Tρ))1+p(ρ,σ),p(ρ,Tρ)(1+p(ρ,Tρ))1+p(ρ,σ)}

    for all ρ,σX and k(0,1). Then T has a unique fixed point.

    Example 2.6. Let X=[0,1]. Define T:XX by Tρ=ρ3 and p:X×X[0,) by p(ρ,σ)=max{ρ,σ}, then (X,p) is a complete partial metric space and

    p(Tρ,Tσ)13max{p(ρ,σ),p(ρ,Tρ),p(σ,Tσ),p(ρ,Tσ)+p(σ,Tρ)2,p(σ,Tσ)(1+p(ρ,Tρ))1+p(ρ,σ),p(ρ,Tρ)(1+p(ρ,Tρ))1+p(ρ,σ)}

    Thus by Corollary 2.4, T has a unique fixed point. Here 0 is the unique fixed point of T.

    Example 2.7. Let X=[0,1]. Define T:XX by Tρ=ρ2 and p:X×X[0,) by p(ρ,σ)=max{ρ,σ}, then (X,p) is a complete partial metric space and

    p(Tρ,Tσ)12max{p(ρ,σ),p(ρ,Tρ),p(σ,Tσ),p(σ,Tσ)(1+p(ρ,Tρ))1+p(ρ,σ),p(ρ,Tρ)(1+p(ρ,Tρ))1+p(ρ,σ)}

    Thus by Corollary 2.5, T has a unique fixed point. Here 0 is the unique fixed point of T.

    Example 2.8. Let X=[0,) and p(ρ,σ)=max{ρ,σ}. Then (X,p) is a complete partial metric space. Consider the mapping T:XX defined by

    T(ρ)={0if0ρ<1;ρ2ρ+1ifρ1. (2.26)

    and φ(t),ψ(t):[0,)[0,), φ(t)=t1+t and ψ(t)=t.

    We have the following cases.

    Case (ⅰ) If ρ,σ[0,1) and assume that ρσ, we have

    p(Tρ,Tσ)=0,

    and

    M(ρ,σ)=max{p(ρ,σ),p(ρ,Tρ),p(σ,Tσ),p(ρ,Tσ)+p(σ,Tρ)2,p(σ,Tσ)(1+p(ρ,Tρ))1+p(ρ,σ),p(ρ,Tρ)(1+p(ρ,Tρ))1+p(ρ,σ)}=max{ρ,ρ,σ,ρ+σ2,ρ(1+σ)1+ρ,σ(1+σ)1+ρ}=max{σ,ρ,ρ}=ρ.

    On the same lines

    N(ρ,σ)=ρ.

    Therefore

    ψ(p(Tρ,Tσ))=0, (2.27)

    and

    ψ(M(ρ,σ))φ(N(ρ,σ))=ρρ1+ρ=ρ21+ρ. (2.28)

    From (2.27) and (2.28), we have ψ(p(Tρ,Tσ))ψ(M(ρ,σ))φ(N(ρ,σ)).

    Case (ⅱ) If σ[0,1) and ρ1, we have

    p(Tρ,Tσ)=max{ρ21+ρ,0}=ρ21+ρ,

    and

    M(ρ,σ)=max{p(ρ,σ),p(ρ,Tρ),p(σ,Tσ),p(ρ,Tσ)+p(σ,Tρ)2,p(σ,Tσ)(1+p(ρ,Tρ))1+p(ρ,σ),p(ρ,Tρ)(1+p(ρ,Tρ))1+p(ρ,σ)}=max{ρ,ρ,σ,2ρ2+σ2(ρ+1),ρ(1+σ)1+ρ,σ(1+σ)1+ρ}=ρ.

    On the same lines

    N(ρ,σ)=ρ.

    Therefore

    ψ(p(Tρ,Tσ)=ρ21+ρ, (2.29)

    and

    ψ(M(ρ,σ))φ(N(ρ,σ))=ρ21+ρ. (2.30)

    From (2.29) and (2.30), we have ψ(p(Tρ,Tσ))=ψ(M(ρ,σ))φ(N(ρ,σ)).

    Case (ⅲ) If ρσ1, we have

    p(Tρ,Tσ)=max{ρ21+ρ,σ21+σ}=ρ21+ρ,

    and

    M(ρ,σ)=max{p(ρ,σ),p(ρ,Tρ),p(σ,Tσ),p(ρ,Tσ)+p(σ,Tρ)2,p(σ,Tσ)(1+p(ρ,Tρ))1+p(ρ,σ),p(ρ,Tρ)(1+p(ρ,Tρ))1+p(ρ,σ)}=max{ρ,ρ,σ,2ρ2+σ2(ρ+1),ρ(1+σ)1+ρ,σ(1+σ)1+ρ}=ρ.

    On the same lines

    N(ρ,σ)=ρ.

    Therefore

    ψ(p(Tρ,Tσ)=ρ21+ρ, (2.31)

    and

    ψ(M(ρ,σ))φ(N(ρ,σ))=ρ21+ρ. (2.32)

    From (2.31) and (2.32), we have ψ(p(Tρ,Tσ))=ψ(M(ρ,σ))φ(N(ρ,σ)).

    Thus it satisfies all the conditions of Theorem 2.1. Hence T has a unique fixed point, indeed, ρ=0 is the required point. However, the inequality 2.1 is not satisfied when the partial p is replaced by the usual metric. Indeed, Take ρ=2 and σ=2.5, then

    ψ(d(Tρ,Tσ))=19/42&ψ(M(ρ,σ))ϕ(N(ρ,σ))=1/6.

    Hence, inequality 2.1 is not satisfied.

    Example 2.9. Let X=[0,1/2] and p(ρ,σ)=max{ρ,σ}. Then (X,p) is a complete partial metric space. Consider the mapping T:XX defined by Tρ=ρ332ρ2+3136ρ+2372 for all ρX and φ(t),ψ(t):[0,)[0,), φ(t)=t100000+t and ψ(t)=t.

    Without loss of generality, assume that ρσ, we have

    p(Tρ,Tσ)=max{ρ332ρ2+3136ρ+2372,σ332σ2+3136σ+2372}=ρ332ρ2+3136ρ+2372,

    and

    M(ρ,σ)=max{p(ρ,σ),p(ρ,Tρ),p(σ,Tσ),p(ρ,Tσ)+p(σ,Tρ)2,p(σ,Tσ)(1+p(ρ,Tρ))1+p(ρ,σ),p(ρ,Tρ)(1+p(ρ,Tρ))1+p(ρ,σ)}=(ρ332ρ2+3136ρ+2372)(ρ332ρ2+3136ρ+9572)1+ρ.

    On the same lines

    N(ρ,σ)=(ρ332ρ2+3136ρ+2372)(ρ332ρ2+3136ρ+9572)1+ρ.

    One can easily verify, that ψ(p(Tρ,Tσ))ψ(M(ρ,σ))φ(N(ρ,σ)).

    Thus it satisfies all the conditions of Theorem 2.1. Hence T has a unique fixed point in X, indeed, ρ=1/2 is the required point in X=[0,1/2].

    Chandok et al. [8] established some results on fixed point for rational type of contraction in the framework of metric space endowed with a partial order. In this paper, we have extended the results of Chandok et al. [8] in a space having non-zero self distance, that is, partial metric space and established some theorems for the existence and uniqueness of a fixed point using auxiliary functions.} Our results generalize some existing results in the literature. To illustrate our results some examples have been provided.

    We would like to express our sincere gratitude to the anonymous referee for his/her helpful comments that will help to improve the quality of the manuscript.

    The authors declare that they have no competing interests.



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