2015
DOI: 10.1016/j.cam.2014.12.032
|View full text |Cite
|
Sign up to set email alerts
|

First order partial differential equations with time delay and retardation of a state variable

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
8
0
1

Year Published

2017
2017
2022
2022

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 20 publications
(11 citation statements)
references
References 14 publications
0
8
0
1
Order By: Relevance
“…In this section, we present some numerical examples to illustrate the efficiency and high accuracy of the proposed multistep LGR collocation method. All computations were performed using the package of Mathematica 12.Example Consider the following first order partial differential equation with discrete time delay τ=π2$$ \tau =\frac{\pi }{2} $$ and retardation of a state variable with biasing constant α=12$$ \alpha =\frac{1}{2} $$ [1, 23]: ut(x,t)goodbreak+2ux(x,t)goodbreak=u(x,t)goodbreak−ex2u()x2,tgoodbreak−π2goodbreak+exsint,1.6em0<x<2,1.6em0<t2π,$$ \frac{\partial u}{\partial t}\left(x,t\right)+2\frac{\partial u}{\partial x}\left(x,t\right)=u\left(x,t\right)-{e}^{\frac{x}{2}}u\left(\frac{x}{2},t-\frac{\pi }{2}\right)+{e}^x\sin t,\kern1.6em 0<x<2,\kern1.6em 0<t\le 2\pi, $$ with the initial function u(x,t)goodbreak=exsint,1.6em0x2,1.6emgoodbreak−π2t0,$$ u\left(x,t\right)={e}^x\sin t,\kern1.6em 0\le x\le 2,\kern1.6em -\frac{\pi }{2}\le t\le 0, $$ and the boundary condition u(0,t)goodbreak=sint,1.6em0t2π.$$ u\left(0,t\right)=\sin t,\kern1.6em 0\le t\le 2\pi . $$ …”
Section: Numerical Examplesmentioning
confidence: 99%
“…In this section, we present some numerical examples to illustrate the efficiency and high accuracy of the proposed multistep LGR collocation method. All computations were performed using the package of Mathematica 12.Example Consider the following first order partial differential equation with discrete time delay τ=π2$$ \tau =\frac{\pi }{2} $$ and retardation of a state variable with biasing constant α=12$$ \alpha =\frac{1}{2} $$ [1, 23]: ut(x,t)goodbreak+2ux(x,t)goodbreak=u(x,t)goodbreak−ex2u()x2,tgoodbreak−π2goodbreak+exsint,1.6em0<x<2,1.6em0<t2π,$$ \frac{\partial u}{\partial t}\left(x,t\right)+2\frac{\partial u}{\partial x}\left(x,t\right)=u\left(x,t\right)-{e}^{\frac{x}{2}}u\left(\frac{x}{2},t-\frac{\pi }{2}\right)+{e}^x\sin t,\kern1.6em 0<x<2,\kern1.6em 0<t\le 2\pi, $$ with the initial function u(x,t)goodbreak=exsint,1.6em0x2,1.6emgoodbreak−π2t0,$$ u\left(x,t\right)={e}^x\sin t,\kern1.6em 0\le x\le 2,\kern1.6em -\frac{\pi }{2}\le t\le 0, $$ and the boundary condition u(0,t)goodbreak=sint,1.6em0t2π.$$ u\left(0,t\right)=\sin t,\kern1.6em 0\le t\le 2\pi . $$ …”
Section: Numerical Examplesmentioning
confidence: 99%
“…Analytical methods for solving some linear and nonlinear PDEs with proportional delays are discussed in [86][87][88]. In [89], a finite-difference scheme for the numerical integration of firstorder PDEs with constant delay in t and proportional delay in x is constructed. Papers [90][91][92] are devoted to numerical methods for solving pantograph-type PDEs with proportional delay [90,91] and more complex varying delay [92].…”
Section: Pantograph-type Odes and Pdes And Their Applicationsmentioning
confidence: 99%
“…The literature on numerically solving PDDE with non-local boundary conditions is rather limited [25]. However, the problem structure permits to use the cohort strategy presented in [26] to discretize the solution space (Fig.…”
Section: Mathematical Frameworkmentioning
confidence: 99%