Research article

Hölder and Schauder estimates for weak solutions of a certain class of non-divergent variation inequality problems in finance

  • Received: 22 April 2023 Revised: 23 May 2023 Accepted: 26 May 2023 Published: 05 June 2023
  • MSC : 35K99, 97M30

  • This article studies a class of variational inequality problems composed of non-divergence type parabolic operators. In comparison with traditional differential equations, this study focuses on overcoming inequality constraints to obtain Hölder and Schauder estimates for weak solutions. The results indicate that the weak solution of the variational inequality possesses the Cα continuity and the Schauder estimate on the W1,p space, where α(0,1) and p2.

    Citation: Yudong Sun, Tao Wu. Hölder and Schauder estimates for weak solutions of a certain class of non-divergent variation inequality problems in finance[J]. AIMS Mathematics, 2023, 8(8): 18995-19003. doi: 10.3934/math.2023968

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  • This article studies a class of variational inequality problems composed of non-divergence type parabolic operators. In comparison with traditional differential equations, this study focuses on overcoming inequality constraints to obtain Hölder and Schauder estimates for weak solutions. The results indicate that the weak solution of the variational inequality possesses the Cα continuity and the Schauder estimate on the W1,p space, where α(0,1) and p2.



    Variational inequalities are often used in American-style option valuation analysis, and they provide a good description of early exercise provisions in the presence of uncertain equities. As an application of variational inequality, we investigate the pricing problem of American-style options on two risky assets. Assuming the existence of two risky assets in the financial market, their prices follow:

    dSi(t)=μiSi(t)dt+σiSi(t)dWi(t),i=1,2,

    where μi represents the return rate of the i-th asset, and σi represents its volatility, i=1,2. {W1(t),t0} and {W2(t),t0} are two standard 1-D Brownian motions used to describe the background noise of the financial market. Investors who purchase American-style options have the right to choose between risk assets {S1(t),t0} and {S2(t),t0} for holding, in terms of value, expected return rate, turnover rate, and asset volatility, with the aim of maximizing their gains while minimizing fluctuations. According to the literature [1,2,3], the value v of American-style option is suitable for the following variational inequality model:

    {min{Lv,vmax{S1,S2}}=0,v(S1,S2,T)=max{S1,S2}, (1)

    where r represents risk-free interest rate and

    Lv=tv+12σ21S21S1S1v+12σ22S22S2S2v+rS1S1v+rS2S2vrv.

    Many documents indicate that when there are costs in stock trading, sigma in Lv is often related to the first spatial gradient of v. The famous Leland model can rewrite sigma as

    σ2=σ20(1+Lesign(div(|VS|p2VS)). (2)

    In this equation, the variable σ20 denotes the initial volatility, while Le represents the Leland number. The value of p is greater than or equal to 2.

    Taking inspiration from Leland's fee model for American-style options, this paper examines a variational inequality initial-boundary value problem:

    {Lu0,(x,t)ΩT,uu00,(x,t)ΩT,Lu(uu0)=0,(x,t)ΩT,u(0,x)=u0(x),xΩ,u(t,x)=uν=0,(x,t)Ω×(0,T), (3)

    incorporating the non-divergence parabolic operator

    Lu=tuuΔpuγ|u|p,Δpu=div(|u|p2u),p>2. (4)

    Different from (1), we restrict Ω to be a bounded and open subset of RN, and ΩT=Ω×(0,T). In terms of the parameter γ, we continue to employ the hypothesis conditions from the study in reference [4,5] to verify the presence of weak solutions, which is represented by γ(0,1).

    Theoretical research on variational inequalities has been extensively expanded in many aspects. Some examples include the study of the existence and uniqueness of solutions for 2-D variational inequalities in [4], and with fourth-order p(x)-Kirchhoff operators in [5]. The existence of solutions in whole RN can be found in [6]. Furthermore, the existence and uniqueness of solutions for mixed variational-hemivariational inequality were discovered in [7], without Lipschitz continuity in [8] and with nonlocal fractional operators in [9]. Additionally, stability analysis for variational inequalities, hemivariational inequalities and variational-hemivariational inequalities was analyzed in [10], as well as in reflexive Banach spaces in [11]. Finally, the regularity of weak solutions to a class of fourth-order parabolic variational inequalities was proved in [12].

    Inspired by the literature [4,5,6], we studied the Hölder estimate and Schauder estimate for weak solutions of variational inequalities formed by a class of non-divergence parabolic operators. On one hand, starting from the weak solutions constructed in [4,5,6], we obtained several gradient estimates using techniques such as Hölder and Young inequalities, and obtained the Hölder estimate results based on [13]. On the other hand, we constructed test functions for weak solutions using time and space truncation factors, and obtained the Caccioppoli inequality that is suitable for the variational inequality (3), which serves as the cornerstone for proving the Schauder estimate. By varying different parameters in the Caccioppoli inequality, we obtained the Schauder estimate for weak solutions of the variational inequality (3).

    In summary, this section provides a definition of the weak solution for the variational inequality based on references [4,5,6], along with a set of maximal monotone maps specified in [1,2,3,5,6]:

    G={u|u(x)=0,x>0;u(x)[M0,0],x=0}. (5)

    Here M0 is a positive constant.

    Definition 1.1. A pair (u,ξ) is said to be a generalized solution of variation-inequality (1), if (u,ξ) satisfies uL(0,T,W1,p(Ω)),tuL(0,T,L2(Ω)) and ξGforany(x,t)ΩT,

    (a) u(x,t)u0(x),u(x,0)=u0(x)forany(x,t)ΩT,

    (b) for every test-function φC0(ΩT) and t(0,T], there admits the equality

    Ωttuφ+u|u|p2uφdxdt+(1γ)Ωt|u|pφdxdt=Ωtξφdxdt. (6)

    It should be noted by the reader that the above formula implies

    Ωttuφ+uΔpuφdxdtγΩt|u|pφdxdt=Ωtξφdxdt. (7)

    Note that u00 in ΩT. Then, using the second condition of inequality (3) and with ease, we can see that u0 in ΩT.

    This section considers the Hölder estimate of weak solutions, and first provides several gradient energy estimates for weak solutions. For any t(0,T], define Ωt=Ω×(0,t). By choosing u as the test function in (6), we can obtain

    Ωttuφ+u|u|p2uφdxdt+(1γ)Ωt|u|pφdxdt=Ωtξφdxdt.

    After simplification, the equation can be written as follows:

    12Ωttu2dxdt+(2γ)Ωt|u|pudxdt=Ωtξudxdt. (8)

    Now using the Hölder and Young inequalities to analyze Ωtξudxdt, we have

    ΩtξudxdtM20T+14Ωtu2dxdt (9)

    from (5). Thus, substituting (9) into (8) and integrating with respect to Ωttu2dxdt, it is not difficult to obtain

    12Ωu2dx+(2γ)Ωt|u|pudxdtM20T+14Ωtu2dxdt+12Ωu20dx. (10)

    On the one hand, it should be noted that 2γ>0. By removing the non-positive term (2γ)Ωt|u|pudxdt, we obtain

    Ωu2dx2t0Ωtu2dxdt2M20T+Ωu20dx.

    Using Gronwall's inequality,

    Ωu2dx(2M20T+Ωu20dx)exp{2T}. (11)

    On the other hand, by removing the non-negative term 12Ωu2dx in (10), it is easy to obtain

    (2γ)Ωt|u|pudxdtM20T+14Ωtu2dxdt+12Ωu20dx. (12)

    Combining (11) and (12), it is easy to see that

    Ωt|u|pudxdtC(γ,M0,T)+C(γ,M0,T)Ωu20dx. (13)

    It is worth noting that using integration by parts yields, ΩtuΔpudxdt=Ωt|Δu|pdxdt, and thus (13) can also be used to obtain u|Δpu|L(0,T;L2(Ω)).We will now prove u|Δpu|L(0,T;L2(Ω)). Assuming φ=uΔpu in (7), it is easy to see that

    ΩttuuΔpudxdt+Ωtu2|Δpu|2dxdtγΩt|u|puΔpudxdt=ΩtξuΔpudxdt. (14)

    Here, we attempt to estimate Ωtu2|Δpu|2dxdt in (14). With the help of the Hölder and Young inequalities, it is easy to discover that

    |ΩttuuΔpudxdt|Ωt|tu|2dxdt+14Ωt|uΔpu|2dxdt. (15)

    Combining with (5), we obtain

    |ΩtξuΔpudxdt|C(T,|Ω|,M0)+14Ωt|uΔpu|2dxdt. (16)

    From (9) we know that uL(0,T;W1,p(Ω)), such that we use Poincaré insert theory [14, P15] to arrive at supΩtu||u||L(0,T;W1,p(Ω)), such that Using the multivariate mean value theorem and integrating by part gives

    |Ωt|u|puΔpudxdt|C(p,||u||W1,p(Ω))|ΩtuΔpudxdt|=C(p,||u||W1,p(Ω))Ωt|u|pdxdtC(p,||u||W1,p(Ω))||u||W1,p(Ω)=C(p,T,||u||L(0,T;W1,p(Ω))). (17)

    Substituting (15)–(17) into (14), we obtain

    12Ωtu2|Δpu|2dxdtΩt|tu|2dxdt+C(γ,p,T,|Ω|,M0,||u||L(0,T;W1(Ω))). (18)

    From reference [13], we have the following result established by Eqs (13) and (18):

    Theorem 2.1. For any (x1,t1),(x2,t2)ΩT and any α(0,1), there exists

    |u(x1,t1)u(x2,t2)|C(|t1t2|α/4+|x1x2|α).

    This section considers the Schauder estimate of weak solutions. For any (x0,t0)ΩT, define

    BR=BR(x0)={x||xx0|<R},
    Iρ=Iρ(t0)=(t0ρ2,t0+ρ2),Qρ=BR×Iρ,

    where R and ρ are given positive numbers.

    Lemma 3.1. (Caccioppoli Type Inequality) If (u,ξ) is a weak solution to the variational inequality problem (3), then for any BRΩT and λR, there holds the following estimate:

    suptIρBρ(uλ)2dx+1pQρ|u|pdxdtC(Rρ)4p+C(Rρ)2QR(uλ)pdxdt.

    Proof. For spatial variables, use the tangent function η on BR relative to Bρ, that is

    ηC0(BR),0η1,η=1inBρ,|η|C(Rρ)2.

    For a time variable, let κC0(R) be defined such that 0κ1. If tt0R2, we have κ=0, and if tt0ρ2, we have κ=1. Moreover, 0κ(t)C(Rρ)2 in [0, T].

    Defining QsR as

    BR×(t0R2,s),sIR

    and selecting test function ϕ as η2κ2(uλ), it is easy to obtain

    QsRtuη2κ2(uλ)dxdt+QsRu|u|p2u[η2κ2(uλ)]dxdt(γ1)QsR|u|pη2κ2(uλ)dxdt+QsRξη2κ2(uλ)dxdt. (19)

    Note that u(t,x)=uν=0 for any (x,t)Ω×(0,T). Thus, by applying integration by part on QsRt[η2κ2(uλ)2]dxdt and QsRu|u|p2u[η2κ2(uλ)]dxdt, we obtain

    QsRt[η2κ2(uλ)2]dxdt=QsRtuη2κ2(uλ)dxdt+2QsRη2κκ(uλ)2dxdt, (20)
    QsRu|u|p2u[η2κ2(uλ)]dxdt=QsRη2κ2u|u|pdxdt+2QsRκ2ηηu|u|p2u(uλ)dxdt. (21)

    Substituting (20) and (21) into (19), we can obtain

    QsRt[η2κ2(uλ)2]dxdt2QsRη2κκ(uλ)2dxdt+QsRη2κ2u|u|pdxdt+2QsRκ2ηηu|u|p2u(uλ)dxdt(γ1)QsR|u|pη2κ2(uλ)dxdt+QsRξη2κ2(uλ)dxdt

    which means

    QsRt[η2κ2(uλ)2]dxdt+QsRη2κ2u|u|pdxdt(γ1)QsR|u|pη2κ2(uλ)dxdt+2QsRη2κκ(uλ)2dxdt2QsRκ2ηηu|u|p2u(uλ)dxdt+QsRξη2κ2(uλ)dxdt. (22)

    Using the Hölder and Young inequalities, and applying |η|C(Rρ)2, we have

    QsR|u|pη2κ2(uλ)dxdtC(Rρ)4p+12QsRη2κ2(uλ)2dxdt, (23)
    2QsRκ2ηηu|u|p2u(uλ)dxdtp1pQsRκ2η2|u|pdxdt+1pQsRκ2|η|2(uλ)pdxdt. (24)

    Substituting (23) and (24) into (22), we have that

    QsRt[η2κ2(uλ)2]dxdt+QsRη2κ2u|u|pdxdtC(Rρ)4p+12QsRη2κ2(uλ)2dxdt+2QsRη2κκ(uλ)2dxdt+p1pQsRκ2η2|u|pdxdt+1pQsRκ2|η|2(uλ)pdxdt.

    Rearranging the above inequality yields

    BRη2κ2(uλ)2dx|t=s+1pQsRη2κ2u|u|pdxdtC(Rρ)4p+12QsRη2κ2(uλ)2dxdt+2QsRη2κκ(uλ)2dxdt+1pQsRκ2|η|2(uλ)pdxdt+QsRξη2κ2(uλ)dxdt. (25)

    Since 0ξM0, using the Hölder inequality to QsRη2κ2(uλ)2dxdt, QsRη2κκ(uλ)2dxdt and QsRξη2κ2(uλ)dxdt, we have

    BRη2κ2(uλ)2dx|t=s+1pQsRη2κ2|u|pdxdtC(Rρ)4p+C(Rρ)2QsR(uλ)pdxdt. (26)

    Removing the non-negative terms 1pQsRη2κ2|u|pdxdt from which implies that for any sIρ,

    BRη2κ2(uλ)2dx|t=sBRη2κ2(uλ)2dx|t=sC(Rρ)4p+C(Rρ)2QsR(uλ)pdxdtC(Rρ)4p+C(Rρ)2QR(uλ)pdxdt. (27)

    On the other hand, by removing the non-negative term BRη2κ2(uλ)2dx|t=s in (26), we can easily obtain

    Qρ|u|pdxdtQRη2κ2|u|pdxdtC(Rρ)4p+C(Rρ)2QR(uλ)pdxdt. (28)

    Combining (27) and (28), the desired conclusion follows and the proof is completed.

    Now, we analyze the Schauder estimates for weak solutions of the variational inequality (3). On the one hand, choosing ρ and R to be 12R and 34R, respectively, in the Lemma 4.1 and setting λ=0, we obtain

    suptI12RB12Ru2dx+1pQ12R|u|pdxdtCR2Q34Ru2dxdt+CR4p. (29)

    On the other hand, in Lemma 4.1, we choose ρ=34R and R, respectively, and set λ=0,

    Q34R|u|2dxdtCR2QRu2dxdt+CR4p. (30)

    Combining (29) and (30), we can obtain the following Schauder estimates.

    Theorem 3.2. Let (u,ξ) be a weak solution of variational inequality (3), then

    suptI12RB12Ru2dx+1pQ12R|u|pdxdtCR2QRu2dxdt+CR4p.

    This paper studies the variational inequality problem associated with non-divergence type parabolic operators as follows:

    Lu=tuuΔpuγ|u|p,Δpu=div(|u|p2u),p>2.

    First, the Hölder estimate for the weak solution of the variational inequality (3) was analyzed. By using the maximal operator G to overcome the inequality constraints in model (1), combined with the Hölder inequality, Young's inequality, Gronwall's inequality, etc., the energy estimates for the spatial gradient and spatial second-order gradient of the weak solution of the variational inequality (3) were obtained, thus obtaining the Hölder estimate for the weak solution of the variational inequality (3).

    Second, the Shauder estimate problem for weak solutions of the variational inequality (3) was studied. By utilizing weak solutions constructed with maximal operators, and combining spatial cutoff factors and time cutoff factors, the Caccioppoli inequality for the variational inequality (3) was obtained. Based on this, the Shauder estimate for the weak solutions of the variational inequality (3) was obtained by selecting different parameters.

    There are still some areas for improvement in the current paper. The non-linear structure Δpu present in Lu (see (4), for details) restricts the possibility of obtaining higher-order Hölder and Schauder estimates through spatial partial derivatives. In addition, the inequality constraints in model (3) make it impossible to obtain higher-order Hölder and Schauder estimates through partial derivative operations. We will attempt to overcome these limitations in future research.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    The authors sincerely thank the editors and anonymous reviewers for their insightful comments and constructive suggestions, which greatly improved the quality of the paper. This work is supported by the National Social Science Fund of China in 2020 (No.20BMZ043), the Doctoral Project of Guizhou Education University (No.2021BS037) and the Science Research Project of Guizhou Provincial Education Department (Youth Project, No.[2022]158).

    The authors declare no conflicts of interest.



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