Fisher-KPP equations and applications to a model in medical sciences

Benjamin Contri; Benjamin Contri

doi:10.3934/nhm.2018006

Networks and Heterogeneous Media

2018, Volume 13, Issue 1: 119-153. doi: 10.3934/nhm.2018006

Previous Article Next Article

Fisher-KPP equations and applications to a model in medical sciences

Benjamin Contri

Aix Marseille Université, CNRS, Centrale Marseille, Institut de Mathématiques de Marseille, UMR 7373, 13453 Marseille, France

Received: 01 August 2016 Revised: 01 January 2018
Primary: 35K57, 92C50; Secondary: 35C07

This paper is devoted to a class of reaction-diffusion equations with nonlinearities depending on time modeling a cancerous process with chemotherapy. We begin by considering nonlinearities periodic in time. For these functions, we investigate equilibrium states, and we deduce the large time behavior of the solutions, spreading properties and the existence of pulsating fronts. Next, we study nonlinearities asymptotically periodic in time with perturbation. We show that the large time behavior and the spreading properties can still be determined in this case.

Keywords:

Citation: Benjamin Contri. 2018: Fisher-KPP equations and applications to a model in medical sciences, Networks and Heterogeneous Media, 13(1): 119-153. doi: 10.3934/nhm.2018006

Related Papers:

[1]	Sarker Ashraful Islam, Farhana Kabir Esheta, Md Mahir Shahriar, Dewan Hasan Ahmed . Numerical study of aerodynamic drag reduction of a circular cylinder with an inbuilt nozzle. Metascience in Aerospace, 2024, 1(4): 379-400. doi: 10.3934/mina.2024018
[2]	Hussein Kokash, G. Gilou Agbaglah . A two- to three-dimensional wake transition mechanism induced by the angle of attack of a NACA0012 airfoil. Metascience in Aerospace, 2024, 1(3): 329-345. doi: 10.3934/mina.2024015
[3]	Jubilee Prasad Rao, Sai Naveen Chimata . Machine learning-based surrogates for eVTOL performance prediction and design optimization. Metascience in Aerospace, 2024, 1(3): 246-267. doi: 10.3934/mina.2024011
[4]	Hui Ying WANG, Némo DECAMPS . Effects of oxygen concentration of oxidizer flow on laminar diffusion flame established over liquid fuel beds at microgravity. Metascience in Aerospace, 2024, 1(2): 159-184. doi: 10.3934/mina.2024007
[5]	Pasynok Sergey . Cumulative STF coefficients evaluation and validation. Metascience in Aerospace, 2024, 1(4): 371-378. doi: 10.3934/mina.2024017
[6]	Dulce M Graciano, Fernando Z Sierra-Espinosa, Juan C García . Numerical simulation of vortex-induced vibration in a bladeless turbine: Effects of separation distance between tandem harvesters. Metascience in Aerospace, 2024, 1(3): 309-328. doi: 10.3934/mina.2024014
[7]	James H. Page, Lorenzo Dorbolò, Marco Pretto, Alessandro Zanon, Pietro Giannattasio, Michele De Gennaro . Sensitivity analysis of mixed analysis-synthesis flight profile reconstruction. Metascience in Aerospace, 2024, 1(4): 401-415. doi: 10.3934/mina.2024019
[8]	Xu Han, Bin Yu, Hong Liu . Mixing mechanisms in the view of mixing indicators: from passive-scalar mixing to variable-density mixing. Metascience in Aerospace, 2024, 1(1): 1-37. doi: 10.3934/mina.2024001
[9]	Weizhen Tang, Jie Dai, Zhousheng Huang . Comprehensive assessment of air pollutant and noise emissions at airports across different altitudes. Metascience in Aerospace, 2024, 1(3): 292-308. doi: 10.3934/mina.2024013
[10]	Yuan Hu, Zhihao Jiang, Xintai Yuan, Xifan Hua, Wei Liu . Isometric mapping algorithm based GNSS-R sea ice detection. Metascience in Aerospace, 2024, 1(1): 38-52. doi: 10.3934/mina.2024002

Abstract

1. Introduction and preliminaries

We begin with the following definitions of notations:

$\begin{equation*} \mathbb{N = }\left\{ 1, 2, 3, \cdots \right\} \text{ and }\mathbb{N}_{0}: = \mathbb{ N\cup }\left\{ 0\right\} \text{.} \end{equation*}$ $

Also, as usual, $ \mathbb{R} $ denotes the set of real numbers and $ \mathbb{C} $ denotes the set of complex numbers.

The two variable Laguerre polynomials $ L_{n}(u, v) $ ^[1] are defined by the Taylor expansion about $ \tau = 0 $ (also popularly known as generating function) as follows:

$\begin{equation*} \sum\limits_{p = 0}^{\infty }L_{p}(u, v)\frac{\tau ^{p}}{p!} = e^{v\tau }C_{0}(u\tau ), \end{equation*}$ $

where is the $ 0 $-th order Tricomi function ^[19] given by

$\begin{equation*} C_{0}(u) = \sum\limits_{p = 0}^{\infty }\frac{(-1)^{p}u^{p}}{(p!)^{2}} \end{equation*}$ $

and has the series representation

$\begin{equation*} L_{p}(u, v) = \sum\limits_{s = 0}^{p}\; \frac{p!(-1)^{s}v^{p-s}u^{s}}{(p-s)!(s!)^{2}}. \end{equation*}$ $

The classical Euler polynomials $ E_{p}(u) $, Genocchi polynomials $ G_{p}(u) $ and the Bernoulli polynomials $ B_{p}(u) $ are usually defined by the generating functions (see, for details and further work, ^{[1,2,4,5,6,7,9,11,12,20]}):

$\begin{equation*} \sum\limits_{p = 0}^{\infty }E_{p}(u)\frac{\tau ^{p}}{p!} = \frac{2}{e^{\tau }+1} e^{u\tau }\quad (|\tau | \lt \pi ), \end{equation*}$ $

$\begin{equation*} \sum\limits_{p = 0}^{\infty }G_{p}(u)\frac{\tau ^{p}}{p!} = \frac{2\tau }{e^{\tau }+1} e^{u\tau }\quad (|\tau | \lt \pi ) \end{equation*}$ $

and

$\begin{equation*} \sum\limits_{p = 0}^{\infty }B_{p}(u)\frac{\tau ^{p}}{p!} = \frac{\tau }{e^{\tau }-1} e^{u\tau }\quad (|\tau | \lt 2\pi ). \end{equation*}$ $

The Daehee polynomials, recently originally defined by Kim et al. ^[9], are defined as follows

$\begin{equation} \sum\limits_{p = 0}^{\infty }D_{p}(u)\frac{\tau ^{p}}{p!} = \frac{\log (1+\tau )}{\tau } (1+\tau )^{u}, \end{equation}$ $

(1.1)

where, for $ u = 0 $, $ D_{p}(0) = D_{p} $ stands for Daehee numbers given by

$\begin{equation} \sum\limits_{p = 0}^{\infty }D_{p}\, \frac{\tau ^{p}}{p!} = \frac{\log (1+\tau )}{\tau }. \end{equation}$ $

(1.2)

Due to Kim et al.'s idea ^[9], Jang et al. ^[3] gave the partially degenarate Genocchi polynomials as follows:

$\begin{equation} \frac{2\log (1+\tau \lambda )^{\frac{1}{\lambda }}}{e^{\tau }+1}e^{u\tau } = \sum\limits_{p = 0}^{\infty }G_{p, \lambda }(u)\frac{\tau ^{p}}{p!}, \end{equation}$ $

(1.3)

which, for the case $ u = 0 $, yields the partially degenerate Genocchi numbers $ G_{n, \lambda }: = G_{n, \lambda }(0) $.

Pathan et al. ^[17] considered the generalization of Hermite-Bernoulli polynomials of two variables $ {}_{H}B_{p}^{(\alpha)}(u, v) $ as follows

$\begin{equation} \left( \frac{\tau }{e^{\tau }-1}\right) ^{\alpha }e^{u\tau +v\tau ^{2}} = \sum\limits_{p = 0}^{\infty }{}_{H}B_{p}^{(\alpha )}(u, v)\frac{\tau ^{p}}{p!}. \end{equation}$ $

(1.4)

On taking $ \alpha = 1 $ in (1.4) yields a well known result of [2,p. 386 (1.6)] given by

$\begin{equation} \left( \frac{\tau }{e^{\tau }-1}\right) e^{u\tau +v\tau ^{2}} = \sum\limits_{p = 0}^{\infty }{}_{H}B_{p}(u, v)\frac{\tau ^{p}}{p!}. \end{equation}$ $

(1.5)

The two variable Laguerre-Euler polynomials (see ^[7,8]) are defined as

$\begin{equation} \sum\limits_{p = 0}^{\infty }{}_{L}E_{p}(u, v)\frac{\tau ^{p}}{p!} = \frac{2}{e^{\tau }+1}e^{v\tau }C_{0}(u\tau ). \end{equation}$ $

(1.6)

The alternating sum $ T_{k}(p) $, where $ k\in \mathbb{N}_{0} $, (see ^[14]) is given as

$\begin{equation*} T_{k}(p) = \sum\limits_{j = 0}^{p}(-1)^{j}j^{k} \end{equation*}$ $

and possess the generating function

$\begin{equation} \sum\limits_{r = 0}^{\infty }T_{k}(p)\frac{\tau ^{r}}{r!} = \frac{1-(-e^{\tau })^{(p+1)} }{e^{\tau }+1}. \end{equation}$ $

(1.7)

The idea of degenerate numbers and polynomials found existence with the study related to Bernoulli and Euler numbers and polynomials. Lately, many researchers have begun to study the degenerate versions of the classical and special polynomials (see ^{[3,10,11,12,13,14,15,16,18]}, for a systematic work). Influenced by their works, we introduce partially degenerate Laguerre-Genocchi polynomials and also a new generalization of partially degenerate Laguerre-Genocchi polynomials and then give some of their applications. We also derive some implicit summation formula and general symmetry identities.

2. Partially degenerate Laguerre-Genocchi polynomials

Let $ \lambda, \tau \in \mathbb{C} $ with $ |\tau \lambda |\leq 1 $ and $ \tau \lambda \neq -1 $. We introduce and investigate the partially degenerate Laguerre-Genocchi polynomials as follows:

$\begin{equation} \sum\limits_{p = 0}^{\infty }{}_{L}G_{p, \lambda }(u, v)\frac{\tau ^{p}}{p!} = \frac{ 2\log (1+\lambda \tau )^{\frac{1}{\lambda }}}{e^{\tau }+1}e^{v\tau }C_{0}(u\tau ). \end{equation}$ $

(2.1)

In particular, when $ \lambda\to 0 $, $ {}_LG_{p, \lambda}(u, v)\to {}_LG_p(u, v) $ and they have the closed form given as

$\begin{equation*} {}_{L}G_{p, \lambda }(u, v) = \sum\limits_{q = 0}^{p}\binom{p}{q}G_{q, \lambda }L_{p-q}(u, v). \end{equation*}$ $

Clearly, $ u = 0 $ in (2.1) gives $ {}_{L}G_{p, \lambda }(0, 0): = G_{p, \lambda } $ that stands for the partially degenerate Genocchi polynomials ^[3].

Theorem 1. For $ p \in \mathbb{N}_{o} $, the undermentioned relation holds:

$\begin{equation} {}_LG_{p, \lambda}(u, v) = \sum\limits_{q = 0}^{p} \binom{p}{q+1}\, q!(-\lambda)^{q}{}_LG_{p-q-1}(u, v). \end{equation}$ $

(2.2)

Proof. With the help of (2.1), one can write

$\begin{align*} \sum\limits_{p = 0}^{\infty }{}_{L}G_{p, \lambda }(u, v)\frac{\tau ^{p}}{p!} = & \frac{ 2\log (1+\lambda \tau )^{\frac{1}{\lambda }}}{e^{\tau }+1}e^{v\tau }C_{0}(u\tau ) \\ = & \tau\left\{ \sum\limits_{q = 0}^{\infty }\frac{(-1)^{q}}{q+1}(\lambda \tau )^{q}\right\} \left\{ \sum\limits_{p = 0}^{\infty }{}_{L}G_{p}(u, v)\frac{\tau ^{p}}{p! }\right\} \\ = & \sum\limits_{p = 0}^{\infty }\left\{ \sum\limits_{q = 0}^{p}\binom{p}{q}\frac{(-\lambda )^{q}}{q+1}q!{}_{L}G_{p-q}(u, v)\right\} \frac{\tau ^{p+1}}{p!}, \end{align*}$ $

where, $ {}_{L}G_{p-q}(u, v) $ are the Laguerre-Genocchi polynomials (see ^[8]). Finally, the assertion easily follows by equating the coefficients $ \frac{ \tau ^{p}}{p!} $.

Theorem 2. For $ p\in \mathbb{N}_{o} $, the undermentioned relation holds:

$\begin{equation} {}_{L}G_{p+1, \lambda }(u, v) = \sum\limits_{q = 0}^{p}\binom{p}{q}\lambda ^{q}(p+1){}_{L}G_{p-q+1}(u, v)D_{q}. \end{equation}$ $

(2.3)

Proof. We first consider

$\begin{align*} I_{1} = \frac{1}{\tau }\frac{2\log (1+\lambda \tau )^{\frac{1}{\lambda }}}{ e^{\tau }+1}e^{v\tau }C_{0}(u\tau ) = & \left\{ \sum\limits_{q = 0}^{\infty }D_{q}\frac{ (\lambda \tau )^{q}}{q!}\right\} \left\{ \sum\limits_{p = 0}^{\infty }{}_{L}G_{p}(u, v) \frac{\tau ^{p}}{p!}\right\} \\ = & \sum\limits_{p = 1}^{\infty }\left\{ \sum\limits_{q = 0}^{p}\binom{p}{q}(\lambda )^{q} D_{q}{}_{L}G_{p-q}(u, v)\right\} \frac{\tau ^{p}}{p!}. \end{align*}$ $

Next we have,

$\begin{align*} I_{2} = \frac{1}{\tau}\frac{2\log(1+\lambda \tau)^{\frac{1}{\lambda}}}{ e^{\tau}+1}e^{v\tau}C_{o}(u\tau) = &\frac{1}{\tau}\sum\limits_{p = 0}^{\infty}{}_LG_{p, \lambda}(u, v)\frac{\tau^{p}}{p!} \\ = &\sum\limits_{p = 0}^{\infty}\frac{{}_LG_{p+1, \lambda}(u, v)}{p+1}\frac{\tau^{p}}{p!}. \end{align*}$ $

Since $ I_{1} = I_{2} $, we conclude the assertion (2.3) of Theorem 2.

Theorem 3. For $ p\in \mathbb{N}_{0} $, the undermentioned relation holds:

$\begin{equation} {}_{L}G_{p, \lambda }(u, v) = p\sum\limits_{q = 0}^{p-1}\binom{p-1}{q}(\lambda )^{q}{}_{L}E_{p-q-1}(u, v)D_{q}. \end{equation}$ $

(2.4)

Proof. With the help of (2.1), one can write

$\begin{align*} \sum\limits_{p = 0}^{\infty }{}_{L}G_{p, \lambda }(x, y)\frac{\tau ^{p}}{p!} = & \left\{ \frac{\tau \log (1+\lambda \tau )}{\lambda \tau }\right\} \left\{ \frac{2}{ e^{\tau }+1}e^{v\tau }C_{0}(u\tau )\right\} \\ = & \tau \left\{ \sum\limits_{q = 0}^{\infty }D_{q}\frac{(\lambda \tau )^{q}}{q!} \right\} \left\{ \sum\limits_{p = 0}^{\infty }{}_{L}E_{p}(u, v)\frac{\tau ^{p}}{p!} \right\} \\ = & \sum\limits_{p = 0}^{\infty }\left\{ \sum\limits_{q = 0}^{p}\binom{p}{q}(\lambda )^{q}D_{q}\, {}_{L}E_{p-q}(u, v)\right\} \frac{\tau ^{p+1}}{p!}. \end{align*}$ $

Finally, the assertion (2.4) straightforwardly follows by equating the coefficients of same powers of $ \tau $ above.

Theorem 4. For $ p\in \mathbb{N}_{o} $, the following relation holds:

$\begin{equation} {}_{L}G_{p, \lambda }(u, v+1) = \sum\limits_{q = 0}^{p}\binom{p}{q}{}\; _{L}G_{p-q, \lambda }(u, v). \end{equation}$ $

(2.5)

Proof. Using (2.1), we find

$\begin{align*} \sum\limits_{p = 0}^{\infty }& \left\{ {}_{L}G_{p, \lambda }(u, v+1)-{}_{L}G_{p, \lambda }(u, v)\right\}\frac{\tau^p}{p!} = \frac{2\log (1+\lambda \tau )^{\frac{1}{\lambda }}}{e^{\tau }+1} \\ \times & e^{(v+1)\tau }C_{0}(u\tau )-\frac{2\log (1+\lambda \tau )^{\frac{1}{ \lambda }}}{e^{\tau }+1}e^{v\tau }C_{0}(u\tau ) \\ = & \sum\limits_{p = 0}^{\infty }{}_{L}G_{p, \lambda }(u, v)\frac{\tau ^{p}}{p!} \sum\limits_{q = 0}^{\infty }\frac{\tau ^{q}}{q!}-\sum\limits_{p = 0}^{\infty }{}_{L}G_{p, \lambda }(u, v)\frac{\tau ^{p}}{p!} \\ = & \sum\limits_{p = 0}^{\infty }\left\{ \sum\limits_{q = 0}^{p}\binom{p}{q}\; {}_{L}G_{p-q, \lambda }(u, v)-{}_{L}G_{p, \lambda }(u, v)\right\} \frac{\tau ^{p}}{p!}. \end{align*}$ $

Hence, the assertion (2.5) straightforwardly follows by equating the coefficients of $ \tau ^{p} $ above.

Theorem 5. For $ p\in \mathbb{N}_{o} $, the undermentioned relation holds:

$\begin{equation} {}_{L}G_{p, \lambda }(u, v) = \sum\limits_{q = 0}^{p}\sum\limits_{l = 0}^{q}\binom{p}{q}\binom{q}{l }G_{p-q}D_{q-l}\; \lambda ^{q-l}L_{l}(u, v). \end{equation}$ $

(2.6)

Proof. Since

$\begin{align*} \sum\limits_{p = 0}^{\infty }{}_{L}G_{p, \lambda }(u, v)\frac{\tau ^{p}}{p!} = & \frac{ 2\log (1+\lambda \tau )^{\frac{1}{\lambda }}}{e^{\tau }+1}e^{v\tau }C_{0}(u\tau ) \\ = & \left\{ \frac{2\tau }{e^{\tau }+1}\right\} \left\{ \frac{2\log (1+\lambda \tau )}{\lambda \tau }\right\} e^{v\tau }C_{0}(u\tau ) \\ = & \left\{ \sum\limits_{p = 0}^{\infty }G_{p}\frac{\tau ^{p}}{p!}\right\} \left\{ \sum\limits_{q = 0}^{\infty }D_{q}\frac{(\lambda \tau )^{q}}{q!}\right\} \left\{ \sum\limits_{l = 0}^{\infty }L_{l}(u, v)\frac{\tau ^{l}}{l!}\right\} , \end{align*}$ $

we have

$\begin{equation*} \sum\limits_{p = 0}^{\infty }{}_{L}G_{p, \lambda }(u, v)\frac{\tau ^{p}}{p!} = \sum\limits_{p = 0}^{\infty }\left\{ \sum\limits_{q = 0}^{p}\sum\limits_{l = 0}^{q}\binom{p}{q}\binom{q }{l}G_{p-q}D_{q-l}\lambda ^{q-l}L_{l}(u, v)\right\} \frac{\tau ^{p}}{p!}. \end{equation*}$ $

We thus complete the proof of Theorem 5.

Theorem 6. (Multiplication formula). For $ p\in \mathbb{N}_{o} $, the undermentioned relation holds:

$\begin{equation} {}_{L}G_{p, \lambda }(u, v) = f^{p-1}\sum\limits_{a = 0}^{f-1}{}_{L}G_{p, \frac{\lambda }{f }}\left( u, \frac{v+a}{f}\right). \; \; \; \; \; \; \; \; \end{equation}$ $

(2.7)

Proof. With the help of (2.1), we obtain

$\begin{align*} \sum\limits_{p = 0}^{\infty}{}_LG_{p, \lambda}(u, v)\frac{\tau^{p}}{p!} = &\frac{ 2\log(1+\lambda \tau)^{\frac{1}{\lambda}}}{e^{\tau}+1}e^{v\tau}C_{0}(u\tau) \\ = &\frac{2\log(1+\lambda \tau)^{\frac{1}{\lambda}}}{e^{\tau}+1} C_{0}(u\tau)\sum\limits_{a = 0}^{f-1}e^{(a+v)\tau} \\ = &\sum\limits_{p = 0}^{\infty}\left\lbrace f^{p-1}\sum\limits_{a = 0}^{f-1}{}_LG_{p, \frac{ \lambda}{f}}\left(u, \frac{v+a}{f}\right)\right\rbrace\frac{\tau^{p}}{p!}. \end{align*}$ $

Thus, the result in (2.7) straightforwardly follows by comparing the coefficients of $ \tau^{p} $ above.

3. Generalized partially degenerate Laguerre-Genocchi polynomials

Consider a Dirichlet character $ \chi $ and let $ d\; \; (d\in \mathbb{N}) $ be the conductor connected with it such that $ d\equiv 1(\mod 2) $ (see ^[22]). Now we present a generalization of partially degenerate Laguerre-Genocchi polynomials attached to $ \chi $ as follows:

$\begin{equation} \sum\limits_{p = 0}^{\infty }{}_{L}G_{p, \chi , \lambda }(u, v)\frac{\tau ^{p}}{p!} = \frac{2\log (1+\lambda \tau )^{\frac{1}{\lambda }}}{e^{f\tau }+1} \sum\limits_{a = 0}^{f-1}(-1)^{a}\chi (a)e^{(v+a)\tau }C_{0}(u\tau ). \end{equation}$ $

(3.1)

Here, $ G_{p, \chi, \lambda } = {}_{L}G_{p, \chi, \lambda }(0, 0) $ are in fact, the generalized partially degenerate Genocchi numbers attached to the Drichlet character $ \chi $. We also notice that

$\underset{

$\begin{smallmatrix} \lambda \to 0 \\ v = 0 \end{smallmatrix}$ }{\mathop \lim\limits }\, \ {{\ }_{L}}{{G}_{p, \chi , \lambda }}(u, v) = {{G}_{p, \chi }}(u), $

is the familiar looking generalized Genocchi polynomial (see ^[20]).

Theorem 7. For $ p\in \mathbb{N}_{0} $, the following relation holds:

$\begin{equation} {}_{L}G_{p, \chi , \lambda }(u, v) = \sum\limits_{q = 0}^{p}\binom{p}{q}\lambda ^{q}D_{q}\, {}_{L}G_{p-q, \chi }(u, v). \end{equation}$ $

(3.2)

Proof. In view of (3.1), we can write

$\begin{equation*} \sum\limits_{p = 0}^{\infty}{}_LG_{p, \chi, \lambda}(u, v)\frac{\tau^{p}}{p!} = \frac{ 2\log(1+\lambda \tau)^{\frac{1}{\lambda}}}{e^{f\tau}+1} \sum\limits_{a = 0}^{f-1} (-1)^{a} \chi(a) e^{(v+a)\tau} C_{0}(u\tau) \end{equation*}$ $

$\begin{equation*} = \left\lbrace\frac{\log(1+\lambda \tau)}{\lambda \tau}\right\rbrace\left \lbrace \frac{2\tau}{e^{f\tau}+1}\sum\limits_{a = 0}^{f-1} (-1)^{a} \chi(a) e^{(v+a)\tau} C_{0}(u\tau)\right\rbrace \end{equation*}$ $

$\begin{equation*} = \left\lbrace\sum\limits_{q = 0}^{\infty}D_{q}\frac{\lambda^{q}}{\tau^{q}}{q!} \right\rbrace\left\lbrace \sum\limits_{p = 0}^{\infty}{}_LG_{p, \chi}(u, v)\frac{ \tau^{p}}{p!}\right\rbrace. \end{equation*}$ $

Finally, the assertion (3.2) of Theorem 7 can be achieved by equating the coefficients of same powers of $ \tau $.

Theorem 8. The undermentioned formula holds true:

$\begin{equation} {}_LG_{p, \chi, \lambda}(u, v) = f^{p-1} \sum\limits_{a = 0}^{f-1} (-1)^{a} \chi(a) {}_LG_{p, \frac{\lambda}{f}}\left(u, \frac{a+v}{f}\right). \end{equation}$ $

(3.3)

Proof. We first evaluate

$\begin{align*} \sum\limits_{p = 0}^{\infty}{}_LG_{p, \chi, \lambda}(u, v)\frac{\tau^{p}}{p!} = &\frac{ 2\log(1+\lambda \tau)^{\frac{1}{\lambda}}}{e^{f\tau}+1} \sum\limits_{a = 0}^{f-1} (-1)^{a} \chi(a) e^{(v+a)\tau} C_{0}(u\tau) \\ = &\frac{1}{f} \sum\limits_{a = 0}^{f-1} (-1)^{a} \chi(a) \frac{2\log(1+\lambda \tau)^{ \frac{f}{\lambda}}}{e^{f\tau}+1} e^{\left(\frac{a+v}{f}\right)f\tau} C_{0}(u\tau) \\ = &\sum\limits_{p = 0}^{\infty}\left\lbrace f^{p-1} \sum\limits_{a = 0}^{f-1} (-1)^{a} \chi(a) {}_LG_{p, \frac{\lambda}{f}}\left(u, \frac{a+v}{f}\right)\right\rbrace\frac{ \tau^{p}}{p!}. \end{align*}$ $

Now, the Theorem 8 can easily be concluded by equating the coefficients $ \frac{\tau^{p}}{p!} $ above.

Using the result in (3.1) and with a similar approach used just as in above theorems, we provide some more theorems given below. The proofs are being omitted.

Theorem 9. The undermentioned formula holds true:

$\begin{equation} {}_{L}G_{p, \chi , \lambda }(u, v) = \sum\limits_{q = 0}^{p}\frac{G_{p-q, \chi , \lambda }(v)\; (-u)^{q}\; p!}{(q!)^{2}\, (p-q)!}. \end{equation}$ $

(3.4)

Theorem 10. The undermentioned formula holds true:

$\begin{equation} {}_{L}G_{p, \chi , \lambda }(u, v) = \sum\limits_{q = 0}^{p, l}\frac{G_{p-q-l, \chi , \lambda }\; (v)^{q}\; (-u)^{l}\; p!}{(p-q-l)!\; (q)!\; (l!)^{2}}. \end{equation}$ $

(3.5)

4. Implicit summation formulae

Theorem 11. The undermentioned formula holds true:

$\begin{equation} {}_{L}G_{l+h, \lambda }(u, \nu ) = \sum\limits_{p, n = 0}^{l, h}\binom{l}{p}\binom{h}{n} (u -v)^{p+n}{}_{L}G_{l+h-n-p, \lambda }(u, v). \end{equation}$ $

(4.1)

Proof. On changing $ \tau $ by $ \tau+\mu $ and rewriting (2.1), we evaluate

$\begin{equation*} e^{-v(\tau+\mu)} \sum\limits_{l, h = 0}^{\infty} {}_LG_{l+h, \lambda}(u, v) \frac{ \tau^{l}\mu^{h}}{l!h!} = \frac{2\log(1+\lambda (\tau+\mu))^{\frac{1}{\lambda}} }{e^{\tau+\mu}+1} C_{o}(u(\tau+\mu)), \end{equation*}$ $

which, upon replacing $ v $ by $ u $ and solving further, gives

$\begin{equation*} e^{(u-v)(\tau+\mu)} \sum\limits_{l, h = 0}^{\infty} {}_LG_{l+h, \lambda}(u, v) \frac{ \tau^{l}\mu^{h}}{l!h!} = \sum\limits_{l, h = 0}^{\infty} {}_LG_{l+h, \lambda}(u, \nu) \frac{\tau^{l}\mu^{h}}{l!h!}, \end{equation*}$ $

and also

$\begin{equation} \sum\limits_{P = 0}^{\infty} \frac{(u-v)^{P}(\tau+u)^{P}}{P!}\sum\limits_{l, h = 0}^{\infty} {}_LG_{l+h, \lambda}(u, v) \frac{\tau^{l}\mu^{h}}{l!h!} = \sum\limits_{l, h = 0}^{\infty} {}_LG_{l+h, \lambda}(u, \nu) \frac{\tau^{l}\mu^{h}}{l!h!}. \end{equation}$ $

(4.2)

Now applying the formula [21,p.52(2)]

$\begin{equation*} \sum\limits_{P = 0}^{\infty} f(P) \frac{(u+v)^{P}}{P!} = \sum\limits_{p, q = 0}^{\infty} f(p+q) \frac{u^{p}}{p!}\frac{v^{q}}{q!}, \end{equation*}$ $

in conjunction with (4.2), it becomes

$\begin{equation} \sum\limits_{p, n = 0}^{\infty} \frac{(u-v)^{p+n}\tau^{p}\mu^{n}}{p!n!} \sum\limits_{l, h = 0}^{\infty} {}_LG_{l+h, \lambda}(u, v) \frac{\tau^{l}\mu^{h}}{l!h!} = \sum\limits_{l, h = 0}^{\infty} {}_LG_{l+h, \lambda}(u, \nu) \frac{\tau^{l}\mu^{h}}{l!h! }.\; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \; \end{equation}$ $

(4.3)

Further, upon replacing $ l $ by $ l-p $, $ h $ by $ h-n $, and using the result in [21,p.100 (1)], in the left of (4.3), we obtain

$\begin{equation*} \sum\limits_{p, n = 0}^{\infty} \sum\limits_{l, h = 0}^{\infty} \frac{(u-v)^{p+n}}{p!\, n!} {} _LG_{l+h-p-n, \lambda}(u, v) \frac{\tau^{l}\mu^{h}}{(l-p)!(h-n)!} = \sum\limits_{l, h = 0}^{\infty} {}_LG_{l+h, \lambda}(u, \nu) \frac{\tau^{l}\mu^{h}}{ l!\, h!}. \end{equation*}$ $

Finally, the required result can be concluded by equating the coefficients of the identical powers of $ \tau^{l} $ and $ \mu^{h} $ above.

Corollary 4.1. For $ h = 0 $ in (4.1), we get

$\begin{equation*} {}_{L}G_{l, \lambda }(u, \nu ) = \sum\limits_{\rho = 0}^{l}\binom{l}{\rho } \; {(u-v)^p}_{L}G_{l-\rho , \lambda }(u, v). \end{equation*}$ $

Some identities of Genocchi polynomials for special values of the parameters $ u $ and $ \nu $ in Theorem 11 can also be obtained. Now, using the result in (2.1) and with a similar approach, we provide some more theorems given below. The proofs are being omitted.

Theorem 12. The undermentioned formula holds good:

$\begin{equation*} {}_{L}G_{p, \lambda }(u, v+\mu ) = \sum\limits_{q = 0}^{p}\binom{p}{q}\mu ^{q}{}_{L}G_{p-q, \lambda }(u, v) \end{equation*}$ $

Theorem 13. The undermentioned implicit holds true:

$\begin{equation*} \sum\limits_{p = 0}^{\infty }{}_{L}G_{p, \lambda }(u, v)\frac{\tau ^{p}}{p!} = \frac{ 2\log (1+\lambda \tau )^{\frac{1}{\lambda }}}{e^{\tau }+1}e^{v\tau }C_{o}(u\tau ) = \sum\limits_{q = 0}^{p}\binom{p}{q}G_{p-q, \lambda }\; L_{p}(u, v) \end{equation*}$ $

and

$\begin{equation*} {}_{L}G_{p, \lambda }(u, v) = \sum\limits_{q = 0}^{p}\binom{p}{q}G_{p-q, \lambda }(u, v)\; L_{p}(u, v)\mathit{\text{.}} \end{equation*}$ $

Theorem 14. The undermentioned implicit summation formula holds:

$\begin{equation*} {}_{L}G_{p, \lambda }(u, v+1)+{}_{L}G_{p, \lambda }(u, v) = 2p\; \sum\limits_{q = 0}^{p-1} \binom{p-1}{q}\frac{(-\lambda )^{q}q!}{q+1}L_{p-q-1}(u, v). \end{equation*}$ $

Theorem 15. The undermentioned formula holds true:

$\begin{equation*} {}_LG_{p, \lambda}(u, v+1) = \sum\limits_{q = 0}^{p} {}_LG_{p-q, \lambda}(u, v). \end{equation*}$ $

5. Symmetry identities

Symmetry identities involving various polynomials have been discussed (e.g., ^{[7,9,10,11,17]}). As in above-cited work, here, in view of the generating functions (1.3) and (2.1), we obtain symmetry identities for the partially degenerate Laguerre-Genocchi polynomials $ {}_{L}G_{n, \lambda }(u, v) $.

Theorem 16. Let $ \alpha, \beta \in \mathbb{Z} $ and $ p\in \mathbb{N}_{0} $, we have

$\begin{equation*} \sum\limits_{q = 0}^{p}\binom{p}{q}\beta ^{q}\alpha ^{p-q}{}_{L}G_{p-q, \lambda }(u\beta , v\beta ){}_{L}G_{q, \lambda }(u\alpha , v\alpha ) \end{equation*}$ $

$\begin{equation*} = \sum\limits_{q = 0}^{p}\binom{p}{q}\alpha ^{q}\beta ^{p-q}{}_{L}G_{p-q, \lambda }(u\alpha , v\alpha ){}_{L}G_{q, \lambda }(u\beta , v\beta )\mathit{\text{.}} \end{equation*}$ $

Proof. We first consider

$\begin{equation*} g(\tau ) = \frac{\left\{ 2\log (1+\lambda )^{\frac{\beta }{\lambda }}\right\} }{(e^{\alpha \tau }+1)}\frac{\left\{ 2\log (1+\lambda )^{\frac{\alpha }{ \lambda }}\right\} }{\; (e^{\beta \tau }+1)}e^{(\alpha +\beta )v\tau }C_{0}(u\alpha \tau )C_{0}(u\beta \tau ). \end{equation*}$ $

Now we can have two series expansion of $ g(\tau) $ in the following ways:

On one hand, we have

$\begin{eqnarray} g(\tau ) & = &\left( \sum\limits_{p = 0}^{\infty }\; _{L}G_{p, \lambda }(u\beta , v\beta )\frac{\left( \alpha \tau \right) ^{p}}{p!}\right) \left( \sum\limits_{q = 0}^{\infty }\; _{L}G_{q, \lambda }(u\alpha , v\alpha )\frac{ \left( \beta \tau \right) ^{q}}{q!}\right) \\ & = &\sum\limits_{p = 0}^{\infty }\left( \sum\limits_{q = 0}^{p}\binom{p}{q} \beta ^{q}\alpha ^{p-q}\; _{L}G_{p-q, \lambda }(u\beta , v\beta )\; _{L}G_{q, \lambda }(u\alpha , v\alpha )\right) \frac{\tau ^{p}}{p!}. \end{eqnarray}$ $

(5.1)

and on the other, we can write

$\begin{eqnarray} g(\tau ) & = &\left( \sum\limits_{p = 0}^{\infty }\; _{L}G_{p, \lambda }(u\alpha , v\alpha )\frac{\left( \beta \tau \right) ^{p}}{p!}\right) \left( \sum\limits_{q = 0}^{\infty }\; _{L}G_{q, \lambda }(u\beta , v\beta )\frac{\left( \alpha \tau \right) ^{q}}{q!}\right) \\ & = &\sum\limits_{p = 0}^{\infty }\left( \sum\limits_{q = 0}^{p}\binom{p}{q} \alpha ^{q}\beta ^{p-q}\; _{L}G_{p-q, \lambda }(u\alpha , v\alpha )\; _{L}G_{q, \lambda }(u\beta , v\beta )\right) \frac{\tau ^{p}}{p!}. \end{eqnarray}$ $

(5.2)

Finally, the result easily follows by equating the coefficients of $ \tau ^{p} $ on the right-hand side of Eqs (5.1) and (5.2).

Theorem 17. Let $ \alpha, \beta \in \mathbb{Z} $ with $ p\in \mathbb{N}_{0} $, Then,

$\begin{equation*} \sum\limits_{q = 0}^{p}\binom{p}{q}\beta ^{q}\alpha ^{p-q}\sum\limits_{\sigma = 0}^{\alpha -1}\sum\limits_{\rho = 0}^{\beta -1}(-1)^{\sigma +\rho }{}_{L}G_{p-q, \lambda }(u, v\beta +\frac{\beta }{\alpha }\sigma +\rho )G_{q, \lambda }(z\alpha ) \end{equation*}$ $

$\begin{equation*} = \sum\limits_{q = 0}^{p}\binom{p}{q}\alpha ^{p}\beta ^{p-q}\sum\limits_{\sigma = 0}^{\beta -1}\sum\limits_{\rho = 0}^{\alpha -1}(-1)^{\sigma +\rho }{}_{L}G_{p-q, \lambda }(u, v\alpha +\frac{\beta }{\alpha }\sigma +\rho )G_{q, \lambda }(z\beta ) \mathit{\text{.}} \end{equation*}$ $

Proof. Let

$\begin{equation*} g(\tau) = \frac{\left\lbrace 2\log(1+\lambda)^{\frac{\alpha}{\lambda} }\right\rbrace}{(e^{\alpha\tau}+1)^{2}}\frac{\left\lbrace 2\log(1+\lambda)^{ \frac{\beta}{\lambda}}\right\rbrace}{(e^{\beta\tau}+1)^{2}} e^{(\alpha\beta\tau+1)^{2}} e^{(\alpha\beta)(v+z)\tau}[Cs_{0}(u\tau)]. \end{equation*}$ $

Considering $ g(\tau) $ in two forms. Firstly,

$\begin{align*} g(\tau)& = \frac{\left\lbrace2\log(1+\lambda)^{\frac{\alpha}{\lambda} }\right\rbrace}{e^{\alpha\tau}+1}e^{\alpha\beta v\tau}C_{o}(u\tau) \left( \frac{e^{\alpha\beta\tau}+1}{e^{\beta\tau}+1}\right) \notag \\ &\times\frac{\left\lbrace2\log(1+\lambda)^{\frac{\beta}{\lambda} }\right\rbrace}{e^{\beta\tau}+1} e^{\alpha\beta z\tau} \left(\frac{ e^{\alpha\beta\tau}+1}{e^{\alpha\tau}+1}\right) \end{align*}$ $

$\begin{align} & = \frac{\left\{ 2\log (1+\lambda )^{\frac{\alpha }{\lambda }}\right\} }{ e^{\alpha \tau }+1}e^{\alpha \beta v\tau }C_{0}(u\tau )\left( \sum\limits_{\sigma = 0}^{\alpha -1}(-1)^{\sigma }e^{\beta \tau \sigma }\right) \\ & \times \frac{\left\{ 2\log (1+\lambda )^{\frac{\beta }{\lambda }}\right\} }{e^{\beta \tau }+1}e^{\alpha \beta \tau z}C_{0}(u\tau )\left( \sum\limits_{\rho = 0}^{\beta -1}(-1)^{\rho }e^{\alpha \tau \rho }\right) , \end{align}$ $

(5.3)

Secondly,

$\begin{align} & g(\tau ) \\ & = \sum\limits_{p = 0}^{\infty }\left\{ \sum\limits_{q = 0}^{p}\binom{p}{q}\; \beta ^{q}\alpha ^{p-q}\sum\limits_{\sigma = 0}^{\alpha -1}\sum\limits_{\rho = 0}^{\beta -1}(-1)^{\sigma +\rho }{}_{L}G_{p-q, \lambda }\left( u\alpha , v\beta +\frac{\beta }{\alpha } \sigma +\rho \right) G_{q, \lambda }(\alpha z)\right\} \frac{\tau ^{p}}{p!} \\ & = \sum\limits_{p = 0}^{\infty }\left\{ \sum\limits_{q = 0}^{p}\binom{p}{q}\; \alpha ^{q}\beta ^{p-q}\sum\limits_{\sigma = 0}^{\alpha -1}\sum\limits_{\rho = 0}^{\beta -1}(-1)^{\sigma +\rho }{}_{L}G_{\sigma -\rho , \lambda }\left( u, v\alpha +\frac{\alpha }{ \beta }\sigma +\rho \right) G_{q, \lambda }(z\beta )\right\} \frac{\tau ^{p}}{ p!}.\; \; \; \; \end{align}$ $

(5.4)

Finally, the result straightforwardly follows by equating the coefficients of $ \tau^{p} $ in Eqs (5.3) and (5.4).

We now give the following two Theorems. We omit their proofs since they follow the same technique as in the Theorems 16 and 17.

Theorem 18. Let $ \alpha, \beta \in \mathbb{Z} $ and $ p\in \mathbb{N}_{0} $, Then,

$\begin{eqnarray*} &&\sum\limits_{q = 0}^{p}\binom{p}{q}\beta ^{q}\alpha ^{p-q}\sum\limits_{\sigma = 0}^{\alpha -1}\sum\limits_{\rho = 0}^{\beta -1}(-1)^{\sigma +\rho }{}_{L}G_{p-q, \lambda }\left( u, v\beta +\frac{\beta }{\alpha }\sigma \right) G_{q, \lambda }\left( z\alpha + \frac{\alpha }{\beta }\rho \right) \\ & = &\sum\limits_{q = 0}^{p}\binom{p}{q}\alpha ^{q}\beta ^{p-q}\sum\limits_{\sigma = 0}^{\beta -1}\sum\limits_{\rho = 0}^{\alpha -1}(-1)^{\sigma +\rho }{}_{L}G_{p-q, \lambda }\left( u, v\alpha +\frac{\alpha }{\beta }\sigma +\rho \right) {}_{L}G_{q, \lambda }\left( z\beta +\frac{\beta }{\alpha }\rho \right) \mathit{\text{.}} \end{eqnarray*}$ $

Theorem 19. Let $ \alpha, \beta \in \mathbb{Z} $ and $ p\in \mathbb{N}_{0} $, Then,

$\begin{eqnarray*} &&\sum\limits_{q = 0}^{p}\binom{p}{q}\beta ^{q}\alpha ^{p-q}{}_{L}G_{p-q, \lambda }(u\beta , v\beta )\sum\limits_{\sigma = 0}^{q}\binom{q}{\sigma }T_{\sigma }(\alpha -1)G_{q-\sigma , \lambda }(u\alpha ) \\ & = &\sum\limits_{q = 0}^{p}\binom{p}{q}\beta ^{p-q}\alpha ^{q}{}_{L}G_{p-q, \lambda }(u\alpha , v\alpha )\sum\limits_{\sigma = 0}^{q}\binom{q}{\sigma }T_{\sigma }(\beta -1)G_{q-\sigma , \lambda }(u\beta ). \end{eqnarray*}$ $

6. Concluding remark and observation

Motivated by importance and potential for applications in certain problems in number theory, combinatorics, classical and numerical analysis and other fields of applied mathematics, various special numbers and polynomials, and their variants and generalizations have been extensively investigated (for example, see the references here and those cited therein). The results presented here, being very general, can be specialized to yield a large number of identities involving known or new simpler numbers and polynomials. For example, the case $ u = 0 $ of the results presented here give the corresponding ones for the generalized partially degenerate Genocchi polynomials ^[3].

Acknowledgment

The authors express their thanks to the anonymous reviewers for their valuable comments and suggestions, which help to improve the paper in the current form.

Conflict of interest

We declare that we have no conflict of interests.

References

[1]	Multidimensional nonlinear diffusions arising in population genetics. Adv. Math. (1978) 30: 33-76.
[2]	Front propagation in periodic excitable media. Comm. Pure Appl. Math. (2002) 55: 949-1032.
[3]	The principal eigenvalue of elliptic operators with large drift and applications to nonlinear propagation phenomena. Comm. Math. Phys. (2005) 253: 451-480.
[4]	The speed of propagation for KPP type problems. I - Periodic framework. J. Europ. Math. Soc. (2005) 7: 173-213.
[5]	Analysis of the periodically fragmented environment model: I - Species persistence. J. Math. Bio. (2005) 51: 75-113.
[6]	Analysis of the periodically fragmented environment model: II - Biological invasions and pulsating traveling fronts. J. Math. Pures Appl. (2005) 84: 1101-1146.
[7]	Pulsating fronts for bistable on average reaction-diffusion equations in a time periodic environment. Journal of Mathematical Analysis and Applications (2016) 437: 90-132.
[8]	Bistable pulsating fronts for reaction-diffusion equations in a periodic habitat. Indiana Univ. Math. J. (2017) 66: 1189-1265.
[9]	Traveling waves and spreading speeds for time-space periodic monotone systems. J. Func. Anal. (2017) 272: 4222-4262.
[10]	Bistable traveling waves for monotone semiflows with applications. J. Europ. Math. Soc. (2015) 17: 2243-2288.
[11]	The approach of solutions of non-linear diffusion equations to traveling front solutions. Arch. Ration. Mech. Anal. (1977) 65: 335-361.
[12]	The wave of advance of advantageous genes. Ann. Eugenics (1937) 7: 335-369.
[13]	On the propagation of concentration waves in periodic and random media. Sov. Math. Dokl. (1979) 20: 1282-1286.
[14]	G. Frejacques, Travelling Waves In Infinite Cylinders With Time-periodic Coefficients, Ph. D thesis, Université d'Aix-Marseille, 2005.
[15]	P. Hess, Periodic-parabolic Boundary Value Problems and Positivity, Longman Scientific and Technical, 1991.
[16]	W. Hudson and B. Zinner, Existence of travelling waves for reaction-diffusion equations of fisher type in periodic media, Boundary Value Problems for Functional-Differential Equations, J. Henderson (ed. ), World Scientific, 1995,187–199.
[17]	Etude de l'équation de la diffusion avec croissance de la quantité de matière et son application à un problème biologique. Bulletin Université D'Etat à Moscou (Bjul. Moskowskogo Gos. Univ.) (1937) 1: 1-26.
[18]	Asymptotic speeds of spread and traveling waves for monotone semiflows with applications. Comm. Pure Appl. Math. (2007) 60: 1-40.
[19]	Spreading speeds and traveling waves for abstract monostable evolution systems. J. Funct. Anal. (2010) 259: 857-903.
[20]	The principal eigenvalue of a space-time periodic parabolic operator. Ann. Mat. Pura Appl. (2009) 188: 269-295.
[21]	Traveling fronts in space-time periodic media. J. Math. Pures Appl. (2009) 92: 232-262.
[22]	Existence and uniqueness of the solutions of a space-time periodic reaction-diffusion equation. J. Diff. Equations (2010) 249: 1288-1304.
[23]	Existence of KPP fronts in spatially-temporally periodic advection and variational principle for propagation speeds. Dynamics of PDE (2005) 2: 1-24.
[24]	Travelling waves in time almost periodic structures governed by bistable nonlinearities. Ⅱ. Existence. J. Diff. Equations (1999) 159: 55-101.
[25]	Travelling waves in time almost periodic structures governed by bistable nonlinearities. Ⅰ. Stability and uniqueness. J. Diff. Equations (1999) 159: 1-54.
[26]	Traveling periodic waves in heterogeneous environments. Theor. Pop. Bio. (1986) 30: 143-160.
[27]	On spreading speeds and traveling waves for growth and migration models in a periodic habitat. J. Math. Bio (2002) 45: 511-548.
[28]	Existence of planar flame fronts in convective-diffusive periodic media. Arch. Ration. Mech. Anal. (1992) 121: 205-233.
[29]	Analysis and modeling of front propagation in heterogeneous media. SIAM Review (2000) 42: 161-230.

This article has been cited by:

Sarker Ashraful Islam, Farhana Kabir Esheta, Md Mahir Shahriar, Dewan Hasan Ahmed, Numerical study of aerodynamic drag reduction of a circular cylinder with an inbuilt nozzle, 2024, 1, 2996-0800, 379, 10.3934/mina.2024018

Reader Comments

Your name:*

Email:*
© 2018 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Networks and Heterogeneous Media

1.2 1.8

Metrics

Article views(6959) PDF downloads(312) Cited by(4)

Preview PDF

Download XML

Export Citation

Article outline

Show full outline

Networks and Heterogeneous Media

Fisher-KPP equations and applications to a model in medical sciences

Related Papers:

Abstract

1. Introduction and preliminaries

2. Partially degenerate Laguerre-Genocchi polynomials

3. Generalized partially degenerate Laguerre-Genocchi polynomials

4. Implicit summation formulae

5. Symmetry identities

6. Concluding remark and observation

Acknowledgment

Conflict of interest

References

This article has been cited by:

Reader Comments

通讯作者: 陈斌, bchen63@163.com

Metrics

Other Articles By Authors

Catalog

Networks and Heterogeneous Media

Fisher-KPP equations and applications to a model in medical sciences

Related Papers:

Abstract

1. Introduction and preliminaries

2. Partially degenerate Laguerre-Genocchi polynomials

3. Generalized partially degenerate Laguerre-Genocchi polynomials

4. Implicit summation formulae

5. Symmetry identities

6. Concluding remark and observation

Acknowledgment

Conflict of interest

References

This article has been cited by:

Reader Comments

通讯作者: 陈斌, bchen63@163.com

Metrics

Other Articles By Authors

Related pages

Tools

Export File

Citation

Format

Content

Catalog