Results 1 to 10 of about 290,052 (170)
Polynomial Solutions of Equivariant Polynomial Abel Differential Equations [PDF]
Let a(x){a(x)} be non-constant and let bj(x){b_{j}(x)}, for j=0,1,2,3{j=0,1,2,3}, be real or complex polynomials in the variable x. Then the real or complex equivariant polynomial Abel differential equation a(x)y˙=b1(x)y+b3(x)y3{a(x)\dot{y}=b_{1}(
Llibre Jaume, Valls Clàudia
doaj +7 more sources
Exponential Polynomials and Nonlinear Differential-Difference Equations [PDF]
In this paper, we study finite-order entire solutions of nonlinear differential-difference equations and solve a conjecture proposed by Chen, Gao, and Zhang when the solution is an exponential polynomial.
Junfeng Xu, Jianxun Rong
doaj +2 more sources
The formal derivatives of the Yang-Baxter equation with respect to its spectral parameters, evaluated at some fixed point of these parameters, provide us with two systems of differential equations.
R. S. Vieira
doaj +4 more sources
Conditions for asymptotic stability of first order scalar differential-difference equation with complex coefficients [PDF]
We investigate a scalar characteristic exponential polynomial with complex coefficients associated with a first order scalar differential-difference equation.
Rafał Kapica, Radosław Zawiski
doaj +1 more source
Discussions are presented by Morita and Sato in Mathematics 2017; 5, 62: 1–24, on the problem of obtaining the particular solution of an inhomogeneous ordinary differential equation with polynomial coefficients in terms of the Green’s function, in the ...
Tohru Morita, Ken-ichi Sato
doaj +1 more source
New optical soliton solutions to the (n+1) dimensional time fractional order Sinh-Gordon equation
This article studies and constructs new optical soliton solutions for the (n+1)-dimensional time fractional order Sinh-Gordon equation. First, we change the differential equation into Ordinary differential equation which is connected with a quartic ...
Da Shi, Zhao Li
doaj +1 more source
Interpretable polynomial neural ordinary differential equations
Neural networks have the ability to serve as universal function approximators, but they are not interpretable and do not generalize well outside of their training region. Both of these issues are problematic when trying to apply standard neural ordinary differential equations (ODEs) to dynamical systems. We introduce the polynomial neural ODE, which is
Colby Fronk, Linda Petzold
openaire +5 more sources
Differential Equations for Jacobi-Pineiro Polynomials [PDF]
For $r\in \Z_{\geq 0}$, we present a linear differential operator %$(\di)^{r+1}+ a_1(x)(\di)^{r}+...+a_{r+1}(x)$ of order $r+1$ with rational coefficients and depending on parameters. This operator annihilates the $r$-multiple Jacobi-Pi eiro polynomial.
Mukhin, Eugene, Varchenko, Alexander
openaire +2 more sources
Gradient Structures Associated with a Polynomial Differential Equation
In this paper, by using the characteristic system method, the kernel of a polynomial differential equation involving a derivation in R n is described by solving the Cauchy Problem for the corresponding first order system of PDEs.
Savin Treanţă
doaj +1 more source
Simple Equations Method and Non-Linear Differential Equations with Non-Polynomial Non-Linearity
We discuss the application of the Simple Equations Method (SEsM) for obtaining exact solutions of non-linear differential equations to several cases of equations containing non-polynomial non-linearity. The main idea of the study is to use an appropriate
Nikolay K. Vitanov +1 more
doaj +1 more source

