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A Combined Chemotaxis-haptotaxis System: The Role of Logistic Source

Authors: Youshan Tao; Mingjun Wang;

A Combined Chemotaxis-haptotaxis System: The Role of Logistic Source

Abstract

This paper deals with a $3\times3$ chemotaxis-haptotaxis system modeling cancer invasion. The model consists of a parabolic chemotaxis-haptotaxis partial differential equation (PDE) describing the evolution of tumor cell density, an elliptic PDE governing the evolution of proteolytic enzyme concentration, and an ordinary differential equation (ODE) modeling the proteolysis of extracellular matrix. In three space dimensions, the existence, uniqueness, and uniform-in-time boundedness of global classical solutions to the above system is proved for large $\mu>0$ by raising the a priori estimate of a solution from $L^1(\Omega)$ to $L^2(\Omega)$ and then to $L^4(\Omega)$; in two space dimensions, the existence, uniqueness, and boundedness is proved for any $\mu >0$ by raising the a priori estimate of a solution in the following way: $L^1(\Omega)\rightarrow L^3(Q_T)\rightarrow L^2(\Omega)\rightarrow L^4(Q_T)\rightarrow L^3(\Omega)$. The above-mentioned $\mu$ is the logistic growth rate of cancer cells, $\Omega\s...

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    popularity
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
83
Top 10%
Top 10%
Top 10%
Related to Research communities
Cancer Research
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