Neural operators provide a data-driven framework for learning mappings between function spaces and have shown strong performance in scientific computing and surrogate modeling.Existing architectures,however,typically ...Neural operators provide a data-driven framework for learning mappings between function spaces and have shown strong performance in scientific computing and surrogate modeling.Existing architectures,however,typically rely on a single representation of the input function—either purely pointwise,as in DeepONet,or purely spectral,as in Fourier Neural Operators—which limits their ability to simultaneously capture local variability and global structure.In this work,we propose NOASLRR,a neural operator that integrates three complementary branches within a unified DeepONet-style formulation:a pointwise MLP embedding,a spectral branch based on Chebyshev polynomial coefficients,and a low-rank linear embedding.The three representations are fused through two learnable sigmoid gating mechanisms that adaptively balance structured inductive biases against unstructured expressivity in an input-dependent manner.We provide a theoretical guarantee showing that the proposed architecture can uniformly approximate any continuous operator admitting a decomposable structure,and we validate the method on three canonical PDE benchmarks:the heat equation,the viscous Burgers equation,and the Laplace equation with Dirichlet boundary conditions.On all three benchmarks NOASLRR converges faster and reaches substantially lower mean squared error than DeepONet and FNO baselines—for the heat equation the final MSE is reduced from 1.1×10⁻³(DeepONet)and 2.9×10⁻²(FNO)to 3.4×10⁻⁴,with comparable improvements on the Burgers and Laplace equations.Ablation experiments further confirm that each of the three branches contributes to the accuracy gains,while the parameter overhead relative to DeepONet remains moderate thanks to the low-rank factorization.展开更多
In this article we consider a modification of the Stein’s spherical maximal operator of complex order a on Rn:■We show that when n≥,suppose||mα[1,2]f||Lq(Rn)≤C||f||Lp(Rn)holds for someα∈C,...In this article we consider a modification of the Stein’s spherical maximal operator of complex order a on Rn:■We show that when n≥,suppose||mα[1,2]f||Lq(Rn)≤C||f||Lp(Rn)holds for someα∈C,p,q≥,then we must have that q≥p and Reα≥σn(p,q):=max{1/p-n/q,n+1/2p-n-1/2(1/q+1),n/p-n+1}.Conversely,we show that Mα[1,2]is bounded from Lp(Rn)to Lq(Rn)provided that q≥p and Reα>σ2(p,q)for n=2;and Reα>max{σn(p,q),1/(2p)-(n-2)/(2q)-(n-1)/4}for n>2.The range ofα,p and q is almost optimal in the case when either n=2,or a=0,or(p,q)lies in certain regions for n>2.展开更多
In this study,we introduce a Gould-Hopper polynomial based Bézier variation of the Baskakov-Schurer-Szàsz operators.First,we examine the uniform convergence and error bound using the Ditzian-Totik modulus of...In this study,we introduce a Gould-Hopper polynomial based Bézier variation of the Baskakov-Schurer-Szàsz operators.First,we examine the uniform convergence and error bound using the Ditzian-Totik modulus of smoothness.Next,we obtain the quantitative Voronovskaya and Grüss-Voronovskaya type theorems.Furthermore,we investigate the rate of convergence by using weighted modulus of continuity and for a class of Lipschitz function.展开更多
In this paper,we prove the boundedness of strongly singular Calderón-Zygmund operators and their corresponding commutators when mapping from Musielak-Orlicz Hardy spaces into Musielak-Orlicz spaces.By introducing...In this paper,we prove the boundedness of strongly singular Calderón-Zygmund operators and their corresponding commutators when mapping from Musielak-Orlicz Hardy spaces into Musielak-Orlicz spaces.By introducing a specific subspace of BMO,we further show that the commutators generated by functions within this subspace and strongly singular Calderón-Zygmund operators remain bounded under the same mapping framework.展开更多
This note contains some corrections to the paper:Colesanti A.Log-concavity of the first Dirichlet eigenfunction of some elliptic differential operators and convexity inequalities for the relevant eigenvalue.Acta Mathe...This note contains some corrections to the paper:Colesanti A.Log-concavity of the first Dirichlet eigenfunction of some elliptic differential operators and convexity inequalities for the relevant eigenvalue.Acta Mathematica Scientia,2025,45B(1):143-152.展开更多
This study uses the classical orthogonal Laguerre polynomials as a foundation for constructing new operators.We present the Laguerre-Pǎltǎnea operator based on the modified Laguerre polynomial that facilitates the a...This study uses the classical orthogonal Laguerre polynomials as a foundation for constructing new operators.We present the Laguerre-Pǎltǎnea operator based on the modified Laguerre polynomial that facilitates the approximation of integrable functions.Furthermore,some new discrete and integral-type operators derived from the combination of the Laguerre operator,Laguerre-Pǎltǎnea operator,and Szász-Mirakyan operator are proposed.We compare the error values of the operators and emphasize which operator provides the best approximation.Ultimately,Mathematica software is utilized to generate graphs and infer the convergence of the stated operators to a function for various parameter values under consideration.Additionally,we compare each specified operator and observe that the proposed Laguerre-Pǎltǎnea operator under discussion offers a better approximation than the other potential compositions.展开更多
Deep reinforcement learning(DRL)has demonstrated exceptional capabilities in combinatorial optimization,which automatically devises policies for solution construction and optimizer refinement.DRL is particularly adept...Deep reinforcement learning(DRL)has demonstrated exceptional capabilities in combinatorial optimization,which automatically devises policies for solution construction and optimizer refinement.DRL is particularly adept in generating training samples by itself,thereby providing the flexibility to solve a variety of combinatorial optimization problems without supervision.While DRL takes actions according to states extracted from problem-specific information,it cannot be directly applied to black-box continuous optimization lacking explicit information.To address this issue,this paper proposes a search space independent operator based DRL method for black-box continuous optimization.It conceptualizes the optimization process driven by search space independent operators as a Markov decision process,wherein actions are defined as operators and states are extracted from solutions generated by operators.In contrast to other DRLassisted metaheuristics,the proposed method does not rely on any existing metaheuristic.Instead,it innovates by creating totally new operators,able to surpass the performance boundaries of existing metaheuristics.Compared with state-of-the-art metaheuristics and DRL methods,the proposed method shows significantly faster convergence speed on challenging continuous optimization problems.展开更多
In this paper,we obtain the dichotomy between mean equicontinuity and mean sensitivity for a sequence of bounded linear operators from a Banach space to a normed linear space.The mean Li-Yorke chaos for sequences and ...In this paper,we obtain the dichotomy between mean equicontinuity and mean sensitivity for a sequence of bounded linear operators from a Banach space to a normed linear space.The mean Li-Yorke chaos for sequences and submultiplicative sequences of bounded linear operators are also studied.Furthermore,several criteria for mean Li-Yorke chaos are established.展开更多
In this paper,we investigate the boundedness of pseudo-differential operators Tαon Besov spaces Bp,qswith symbol a∈Sρ,δm,0≤ρ≤δ<1.We obtain that Tαis bounded from Bp,qs+m-mc(p)to ...In this paper,we investigate the boundedness of pseudo-differential operators Tαon Besov spaces Bp,qswith symbol a∈Sρ,δm,0≤ρ≤δ<1.We obtain that Tαis bounded from Bp,qs+m-mc(p)to Bp,qs,where■.展开更多
It is well known that the inhomogeneous Calderón-Zygmund convolution operators are bounded on the local Hardy spaces.In this paper,we prove that these operators are bounded on the local product Hardy spaces and t...It is well known that the inhomogeneous Calderón-Zygmund convolution operators are bounded on the local Hardy spaces.In this paper,we prove that these operators are bounded on the local product Hardy spaces and the Lipschitz spaces.The key ideas used here are the discrete local Calderón identity and a density argument for the inhomogeneous product Lipschitz spaces in the weak sense.展开更多
The missile warning constellation is fundamental to national territorial security and has significant strategic and military value.This study proposes a two-stage,nested co-optimization framework with adaptive evoluti...The missile warning constellation is fundamental to national territorial security and has significant strategic and military value.This study proposes a two-stage,nested co-optimization framework with adaptive evolutionary operators,termed TNC-A,to address challenges in genetic representation,evaluation distortion,the curse of dimensionality,and search inefficiency within the co-optimization of component-level constellation morphology and mission planning.A hybrid encoding scheme combining tree-structured and real-valued vector representations was adopted to encode all optimization variables,including constellation configuration,component-level unified platform information,and mission planning parameters.Second,a multi-stage optimization strategy integrated with a double-nested structure was implemented.This approach mitigates the dimensionality curse and addresses the evaluation distortion inherent in traditional engineering methods.Third,adaptive evolutionary operators based on online contribution learning were designed to dynamically adjust the search focus using historical experience,thereby significantly enhancing search efficiency.The simulation results demonstrate the effectiveness and practical applicability of TNC-A,demonstrating its superiority over comparative algorithms under a constrained function evaluation budget.TNC-A reduced the average and standard deviation of the optimization results by 13.7%and 65.3%,respectively,compared with the baseline of traditional engineering methods.展开更多
This paper investigates approximation problems in Orlicz spaces generated by Young functions.Utilizing Jensen’s inequality and the equivalence between the K-functional and the modulus of smoothness,we establish both ...This paper investigates approximation problems in Orlicz spaces generated by Young functions.Utilizing Jensen’s inequality and the equivalence between the K-functional and the modulus of smoothness,we establish both direct and inverse theorems for approximation by linear combinations of Szász-Mirakjan-Durrmeyer operators in these spaces.展开更多
In this paper,we study truncated Toeplitz operators and little truncated Hankel operators on Np,q-type quotient modules over the bidisk.We find a necessary and sufficient condition for a truncated Toeplitz operator to...In this paper,we study truncated Toeplitz operators and little truncated Hankel operators on Np,q-type quotient modules over the bidisk.We find a necessary and sufficient condition for a truncated Toeplitz operator to be zero,as a result,we find a characterization equation for bounded truncated Toeplitz operators.We also find a necessary and sufficient condition for a little truncated Hankel operator to be zero operator.This paper also studies the spectra,joint spectra and the essential spectra of truncated Toeplitz operators with some special symbols.展开更多
In the present paper,the modified Durrmeyer type Jakimovski-Leviatan operators are presented and their approximation properties are examined.It has shown that the new operators are the Gamma transform of the Jakimovsk...In the present paper,the modified Durrmeyer type Jakimovski-Leviatan operators are presented and their approximation properties are examined.It has shown that the new operators are the Gamma transform of the Jakimovski-Leviatan operators.The degree of approximation is given by the modulus of continuity.It has been stressed that,there are other operators having the same error estimation with the operators,arising from the Sz´asz-Durrmeyer operators.Then the degree of global approximation is obtained in a special Lipschitz type function space.Further,a Voronovskaja type asymptotic formula and Gr¨uss-Voronovskaja type theorem are given.The approximation with these operators is visualized with the help of error tables and graphical examples.展开更多
In this article,we prove the boundedness for commutators of fractional Hardy and Hardy-Littlewood-Pólya operators on grand p-adic variable Herz spaces,where the symbols of the commutators belong to Lipschitz spaces.
In the present paper, we mainly study Rota-Baxter operators(of weight zero)on pre-Lie coalgebras. In particular, the invertible Rota-Baxter operators on pre-Lie coalgebras is well studied, and some fundamental results...In the present paper, we mainly study Rota-Baxter operators(of weight zero)on pre-Lie coalgebras. In particular, the invertible Rota-Baxter operators on pre-Lie coalgebras is well studied, and some fundamental results of the invertible Rota-Baxter relations and derivations on pre-Lie coalgebras are given. Furthermore, using the RotaBaxter operators on pre-Lie coalgebras, some new pre-Lie coalgebraic structures are obtained.展开更多
The purpose of this paper is to solve equation for a class of quasilinear elliptic operators containing the p(·)-Laplacian and the mean curvature operator with mixed boundary conditions.More precisely,we are conc...The purpose of this paper is to solve equation for a class of quasilinear elliptic operators containing the p(·)-Laplacian and the mean curvature operator with mixed boundary conditions.More precisely,we are concerned with the problem that has the Dirichlet condition in one part of the boundary and the Steklov condition in another.Using a symmetric mountain pass lemma and its corollary,we show the existence of infinitely many weak solutions of the equation and the boundedness of the sequence of solutions,or convergence to zero of the sequence of solutions according to the hypotheses about the data functions.展开更多
In this paper,we study several kinds of Hausdorff operators on amalgam spaces,which include the amalgam Morrey space and the amalgam Campanato space.As a corollary,we give the sharp bound of Hausdorff operators on the...In this paper,we study several kinds of Hausdorff operators on amalgam spaces,which include the amalgam Morrey space and the amalgam Campanato space.As a corollary,we give the sharp bound of Hausdorff operators on the classical Campanato space.Furthermore,we also discuss the boundedness of the multilinear Hausdorff operator on amalgam space.These results substantially generalize some classical results.展开更多
In this paper,we present a necessary and sufficient condition for hyponormal block Toeplitz operators T on the vector-valued weighted Bergman space with symbolsΦ(z)=G*(z)+F(z),where F(z)=∑Ni=1 Aiziand...In this paper,we present a necessary and sufficient condition for hyponormal block Toeplitz operators T on the vector-valued weighted Bergman space with symbolsΦ(z)=G*(z)+F(z),where F(z)=∑Ni=1 Aiziand G(z)=∑Ni=1 A−izi,Aiae culants.展开更多
Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective to...Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective tools to address these challenges.In this paper,new mathematical approaches for handling uncertainty in medical diagnosis are introduced using q-rung orthopair fuzzy sets(q-ROFS)and interval-valued q-rung orthopair fuzzy sets(IVq-ROFS).Three aggregation operators are proposed in our methodologies:the q-ROF weighted averaging(q-ROFWA),the q-ROF weighted geometric(q-ROFWG),and the q-ROF weighted neutrality averaging(qROFWNA),which enhance decision-making under uncertainty.These operators are paired with ranking methods such as the similarity measure,score function,and inverse score function to improve the accuracy of disease identification.Additionally,the impact of varying q-rung values is explored through a sensitivity analysis,extending the analysis beyond the typical maximum value of 3.The Basic Uncertain Information(BUI)method is employed to simulate expert opinions,and aggregation operators are used to combine these opinions in a group decisionmaking context.Our results provide a comprehensive comparison of methodologies,highlighting their strengths and limitations in diagnosing diseases based on uncertain patient data.展开更多
基金supported by grant No.25-71-10012 from the Russian Science Foundation,http://gffzz5363282ec1d94f2dswqccbw5cw6nu666b.ffgz.tsg.suse.edu.cn/project/25-71-10012/.
摘要Neural operators provide a data-driven framework for learning mappings between function spaces and have shown strong performance in scientific computing and surrogate modeling.Existing architectures,however,typically rely on a single representation of the input function—either purely pointwise,as in DeepONet,or purely spectral,as in Fourier Neural Operators—which limits their ability to simultaneously capture local variability and global structure.In this work,we propose NOASLRR,a neural operator that integrates three complementary branches within a unified DeepONet-style formulation:a pointwise MLP embedding,a spectral branch based on Chebyshev polynomial coefficients,and a low-rank linear embedding.The three representations are fused through two learnable sigmoid gating mechanisms that adaptively balance structured inductive biases against unstructured expressivity in an input-dependent manner.We provide a theoretical guarantee showing that the proposed architecture can uniformly approximate any continuous operator admitting a decomposable structure,and we validate the method on three canonical PDE benchmarks:the heat equation,the viscous Burgers equation,and the Laplace equation with Dirichlet boundary conditions.On all three benchmarks NOASLRR converges faster and reaches substantially lower mean squared error than DeepONet and FNO baselines—for the heat equation the final MSE is reduced from 1.1×10⁻³(DeepONet)and 2.9×10⁻²(FNO)to 3.4×10⁻⁴,with comparable improvements on the Burgers and Laplace equations.Ablation experiments further confirm that each of the three branches contributes to the accuracy gains,while the parameter overhead relative to DeepONet remains moderate thanks to the low-rank factorization.
基金supported by National Key R&D Program of China 2022YFA1005700N.J.Liu is supported by China Postdoctoral Science Foundation(No.2024M763732)+4 种基金NNSF of China(No.12501132)M.X.Shen is supported by China Postdoctoral Science Foundation(No.2024M761509)NNSF of China(No.12501125)L.Song is supported by NNSF of China(No.12471097)L.X.Yan is supported by NNSF of China(No.12571111).
摘要In this article we consider a modification of the Stein’s spherical maximal operator of complex order a on Rn:■We show that when n≥,suppose||mα[1,2]f||Lq(Rn)≤C||f||Lp(Rn)holds for someα∈C,p,q≥,then we must have that q≥p and Reα≥σn(p,q):=max{1/p-n/q,n+1/2p-n-1/2(1/q+1),n/p-n+1}.Conversely,we show that Mα[1,2]is bounded from Lp(Rn)to Lq(Rn)provided that q≥p and Reα>σ2(p,q)for n=2;and Reα>max{σn(p,q),1/(2p)-(n-2)/(2q)-(n-1)/4}for n>2.The range ofα,p and q is almost optimal in the case when either n=2,or a=0,or(p,q)lies in certain regions for n>2.
摘要In this study,we introduce a Gould-Hopper polynomial based Bézier variation of the Baskakov-Schurer-Szàsz operators.First,we examine the uniform convergence and error bound using the Ditzian-Totik modulus of smoothness.Next,we obtain the quantitative Voronovskaya and Grüss-Voronovskaya type theorems.Furthermore,we investigate the rate of convergence by using weighted modulus of continuity and for a class of Lipschitz function.
基金partially supported by the National Natural Science Foundation of China(12171250,U21A20426,12271267)。
摘要In this paper,we prove the boundedness of strongly singular Calderón-Zygmund operators and their corresponding commutators when mapping from Musielak-Orlicz Hardy spaces into Musielak-Orlicz spaces.By introducing a specific subspace of BMO,we further show that the commutators generated by functions within this subspace and strongly singular Calderón-Zygmund operators remain bounded under the same mapping framework.
摘要This note contains some corrections to the paper:Colesanti A.Log-concavity of the first Dirichlet eigenfunction of some elliptic differential operators and convexity inequalities for the relevant eigenvalue.Acta Mathematica Scientia,2025,45B(1):143-152.
摘要This study uses the classical orthogonal Laguerre polynomials as a foundation for constructing new operators.We present the Laguerre-Pǎltǎnea operator based on the modified Laguerre polynomial that facilitates the approximation of integrable functions.Furthermore,some new discrete and integral-type operators derived from the combination of the Laguerre operator,Laguerre-Pǎltǎnea operator,and Szász-Mirakyan operator are proposed.We compare the error values of the operators and emphasize which operator provides the best approximation.Ultimately,Mathematica software is utilized to generate graphs and infer the convergence of the stated operators to a function for various parameter values under consideration.Additionally,we compare each specified operator and observe that the proposed Laguerre-Pǎltǎnea operator under discussion offers a better approximation than the other potential compositions.
基金supported in part by the National Natural Science Foundation of China(62136008,62276001,U21A20512,W2441019)the Anhui Provincial Natural Science Foundation(2308085J03)the Excellent Youth Foundation of Anhui Provincial Colleges(2022AH030013)。
摘要Deep reinforcement learning(DRL)has demonstrated exceptional capabilities in combinatorial optimization,which automatically devises policies for solution construction and optimizer refinement.DRL is particularly adept in generating training samples by itself,thereby providing the flexibility to solve a variety of combinatorial optimization problems without supervision.While DRL takes actions according to states extracted from problem-specific information,it cannot be directly applied to black-box continuous optimization lacking explicit information.To address this issue,this paper proposes a search space independent operator based DRL method for black-box continuous optimization.It conceptualizes the optimization process driven by search space independent operators as a Markov decision process,wherein actions are defined as operators and states are extracted from solutions generated by operators.In contrast to other DRLassisted metaheuristics,the proposed method does not rely on any existing metaheuristic.Instead,it innovates by creating totally new operators,able to surpass the performance boundaries of existing metaheuristics.Compared with state-of-the-art metaheuristics and DRL methods,the proposed method shows significantly faster convergence speed on challenging continuous optimization problems.
基金suported in part by the NSF of China(12222110)supported in part by the NSF of China(12301230)+1 种基金the STU Scientific Research Initiation Grant(SRIG,NTF22020)supported by the NSF of China(12301226).
摘要In this paper,we obtain the dichotomy between mean equicontinuity and mean sensitivity for a sequence of bounded linear operators from a Banach space to a normed linear space.The mean Li-Yorke chaos for sequences and submultiplicative sequences of bounded linear operators are also studied.Furthermore,several criteria for mean Li-Yorke chaos are established.
基金Supported by NSFC(No.12071437)NSF from the Education Department of Anhui Province(No.2024AH051332)。
摘要In this paper,we investigate the boundedness of pseudo-differential operators Tαon Besov spaces Bp,qswith symbol a∈Sρ,δm,0≤ρ≤δ<1.We obtain that Tαis bounded from Bp,qs+m-mc(p)to Bp,qs,where■.
基金supported by the NSFC(12301115)the Natural Science Foundation of Huzhou(2023YZ11,2024YZ37)the second author was supported by the NSFC(12071437).
摘要It is well known that the inhomogeneous Calderón-Zygmund convolution operators are bounded on the local Hardy spaces.In this paper,we prove that these operators are bounded on the local product Hardy spaces and the Lipschitz spaces.The key ideas used here are the discrete local Calderón identity and a density argument for the inhomogeneous product Lipschitz spaces in the weak sense.
基金supported in part by the Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technologies,Ministry of Education.
摘要The missile warning constellation is fundamental to national territorial security and has significant strategic and military value.This study proposes a two-stage,nested co-optimization framework with adaptive evolutionary operators,termed TNC-A,to address challenges in genetic representation,evaluation distortion,the curse of dimensionality,and search inefficiency within the co-optimization of component-level constellation morphology and mission planning.A hybrid encoding scheme combining tree-structured and real-valued vector representations was adopted to encode all optimization variables,including constellation configuration,component-level unified platform information,and mission planning parameters.Second,a multi-stage optimization strategy integrated with a double-nested structure was implemented.This approach mitigates the dimensionality curse and addresses the evaluation distortion inherent in traditional engineering methods.Third,adaptive evolutionary operators based on online contribution learning were designed to dynamically adjust the search focus using historical experience,thereby significantly enhancing search efficiency.The simulation results demonstrate the effectiveness and practical applicability of TNC-A,demonstrating its superiority over comparative algorithms under a constrained function evaluation budget.TNC-A reduced the average and standard deviation of the optimization results by 13.7%and 65.3%,respectively,compared with the baseline of traditional engineering methods.
基金supported by the Natural Science Foundation of Inner Mongolia Autonomous Region (No. 2025LHMS01014)。
摘要This paper investigates approximation problems in Orlicz spaces generated by Young functions.Utilizing Jensen’s inequality and the equivalence between the K-functional and the modulus of smoothness,we establish both direct and inverse theorems for approximation by linear combinations of Szász-Mirakjan-Durrmeyer operators in these spaces.
基金supported by the Scientific Research Fund of Hunan Provincial Education Departmentsupported by the National Natural Science Foundation of China(12571132)。
摘要In this paper,we study truncated Toeplitz operators and little truncated Hankel operators on Np,q-type quotient modules over the bidisk.We find a necessary and sufficient condition for a truncated Toeplitz operator to be zero,as a result,we find a characterization equation for bounded truncated Toeplitz operators.We also find a necessary and sufficient condition for a little truncated Hankel operator to be zero operator.This paper also studies the spectra,joint spectra and the essential spectra of truncated Toeplitz operators with some special symbols.
基金Supported by Fujian Provincial Natural Science Foundation of China(2024J01792)。
摘要In the present paper,the modified Durrmeyer type Jakimovski-Leviatan operators are presented and their approximation properties are examined.It has shown that the new operators are the Gamma transform of the Jakimovski-Leviatan operators.The degree of approximation is given by the modulus of continuity.It has been stressed that,there are other operators having the same error estimation with the operators,arising from the Sz´asz-Durrmeyer operators.Then the degree of global approximation is obtained in a special Lipschitz type function space.Further,a Voronovskaja type asymptotic formula and Gr¨uss-Voronovskaja type theorem are given.The approximation with these operators is visualized with the help of error tables and graphical examples.
基金Supported by Chizhou University High Level Talent Research Start up Fund (No.CZ2025YJRC52)。
摘要In this article,we prove the boundedness for commutators of fractional Hardy and Hardy-Littlewood-Pólya operators on grand p-adic variable Herz spaces,where the symbols of the commutators belong to Lipschitz spaces.
基金Supported by the National Science Foundation of China (Grant Nos. 12371026 and 11771122)。
摘要In the present paper, we mainly study Rota-Baxter operators(of weight zero)on pre-Lie coalgebras. In particular, the invertible Rota-Baxter operators on pre-Lie coalgebras is well studied, and some fundamental results of the invertible Rota-Baxter relations and derivations on pre-Lie coalgebras are given. Furthermore, using the RotaBaxter operators on pre-Lie coalgebras, some new pre-Lie coalgebraic structures are obtained.
摘要The purpose of this paper is to solve equation for a class of quasilinear elliptic operators containing the p(·)-Laplacian and the mean curvature operator with mixed boundary conditions.More precisely,we are concerned with the problem that has the Dirichlet condition in one part of the boundary and the Steklov condition in another.Using a symmetric mountain pass lemma and its corollary,we show the existence of infinitely many weak solutions of the equation and the boundedness of the sequence of solutions,or convergence to zero of the sequence of solutions according to the hypotheses about the data functions.
摘要In this paper,we study several kinds of Hausdorff operators on amalgam spaces,which include the amalgam Morrey space and the amalgam Campanato space.As a corollary,we give the sharp bound of Hausdorff operators on the classical Campanato space.Furthermore,we also discuss the boundedness of the multilinear Hausdorff operator on amalgam space.These results substantially generalize some classical results.
摘要In this paper,we present a necessary and sufficient condition for hyponormal block Toeplitz operators T on the vector-valued weighted Bergman space with symbolsΦ(z)=G*(z)+F(z),where F(z)=∑Ni=1 Aiziand G(z)=∑Ni=1 A−izi,Aiae culants.
摘要Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective tools to address these challenges.In this paper,new mathematical approaches for handling uncertainty in medical diagnosis are introduced using q-rung orthopair fuzzy sets(q-ROFS)and interval-valued q-rung orthopair fuzzy sets(IVq-ROFS).Three aggregation operators are proposed in our methodologies:the q-ROF weighted averaging(q-ROFWA),the q-ROF weighted geometric(q-ROFWG),and the q-ROF weighted neutrality averaging(qROFWNA),which enhance decision-making under uncertainty.These operators are paired with ranking methods such as the similarity measure,score function,and inverse score function to improve the accuracy of disease identification.Additionally,the impact of varying q-rung values is explored through a sensitivity analysis,extending the analysis beyond the typical maximum value of 3.The Basic Uncertain Information(BUI)method is employed to simulate expert opinions,and aggregation operators are used to combine these opinions in a group decisionmaking context.Our results provide a comprehensive comparison of methodologies,highlighting their strengths and limitations in diagnosing diseases based on uncertain patient data.