This paper derives new discrete integrable system based on discrete isospectral problem. It shows that the hierarchy is completely integrable in the Liouville sense and possesses bi-Hamiltonian structure. Finally, int...This paper derives new discrete integrable system based on discrete isospectral problem. It shows that the hierarchy is completely integrable in the Liouville sense and possesses bi-Hamiltonian structure. Finally, integrable couplings of the obtained system is given by means of semi-direct sums of Lie algebras.展开更多
Two types of Lie algebras are presented,from which two integrable couplings associated with the Tuisospectral problem are obtained,respectively.One of them possesses the Hamiltonian structure generated by a linearisom...Two types of Lie algebras are presented,from which two integrable couplings associated with the Tuisospectral problem are obtained,respectively.One of them possesses the Hamiltonian structure generated by a linearisomorphism and the quadratic-form identity.An approach for working out the double integrable couplings of the sameintegrable system is presented in the paper.展开更多
A direct method for obtaining the expanding integrable models of the hierarchies of evolution equations was proposed. By using the equivalent transformation between the matrices, a new isospectral problem was directly...A direct method for obtaining the expanding integrable models of the hierarchies of evolution equations was proposed. By using the equivalent transformation between the matrices, a new isospectral problem was directly established according to the known isospectral problem, which can be used to obtain the expanding integrable model of the known hierarchy.展开更多
The authors present a novel deep learning method for computing eigenvalues of the fractional Schrödinger operator.The proposed approach combines a newly developed loss function with an innovative neural network a...The authors present a novel deep learning method for computing eigenvalues of the fractional Schrödinger operator.The proposed approach combines a newly developed loss function with an innovative neural network architecture that incorporates prior knowledge of the problem.These improvements enable the proposed method to handle both high-dimensional problems and problems posed on irregular bounded domains.The authors successfully compute up to the first 30 eigenvalues for various fractional Schrödinger operators.As an application,the authors share a conjecture to the fractional order isospectral problem that has not yet been studied.展开更多
文摘This paper derives new discrete integrable system based on discrete isospectral problem. It shows that the hierarchy is completely integrable in the Liouville sense and possesses bi-Hamiltonian structure. Finally, integrable couplings of the obtained system is given by means of semi-direct sums of Lie algebras.
基金National Natural Science Foundation of China under Grant No.10471139
文摘Two types of Lie algebras are presented,from which two integrable couplings associated with the Tuisospectral problem are obtained,respectively.One of them possesses the Hamiltonian structure generated by a linearisomorphism and the quadratic-form identity.An approach for working out the double integrable couplings of the sameintegrable system is presented in the paper.
基金Project supported by the National Natural Science Foundation of China （Grant Nos.10371070, 10547123）
文摘A direct method for obtaining the expanding integrable models of the hierarchies of evolution equations was proposed. By using the equivalent transformation between the matrices, a new isospectral problem was directly established according to the known isospectral problem, which can be used to obtain the expanding integrable model of the known hierarchy.
基金supported by the National Natural Science Foundation of China under Grant Nos.12371438 and 12326336.
文摘The authors present a novel deep learning method for computing eigenvalues of the fractional Schrödinger operator.The proposed approach combines a newly developed loss function with an innovative neural network architecture that incorporates prior knowledge of the problem.These improvements enable the proposed method to handle both high-dimensional problems and problems posed on irregular bounded domains.The authors successfully compute up to the first 30 eigenvalues for various fractional Schrödinger operators.As an application,the authors share a conjecture to the fractional order isospectral problem that has not yet been studied.
