2019
DOI: 10.1007/s00028-019-00554-0
|View full text |Cite
|
Sign up to set email alerts
|

A note on the Moore–Gibson–Thompson equation with memory of type II

Abstract: We consider the Moore-Gibson-Thompson equation with memory of type IIwhere A is a strictly positive selfadjoint linear operator (bounded or unbounded) and α, β, γ > 0 satisfy the relation γ ≤ αβ. First, we prove a well-posedness result without requiring any restriction on the total mass ̺ of g. Then we show that it is always possible to find memory kernels g, complying with the usual mass restriction ̺ < β, such that the equation admits solutions with energy growing exponentially fast. In particular, this prov… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
22
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 27 publications
(22 citation statements)
references
References 22 publications
0
22
0
Order By: Relevance
“…The conservation of the energy stated in Proposition 1 leads immediately to the uniqueness of the solution to the Cauchy problem (5)…”
mentioning
confidence: 96%
See 3 more Smart Citations
“…The conservation of the energy stated in Proposition 1 leads immediately to the uniqueness of the solution to the Cauchy problem (5)…”
mentioning
confidence: 96%
“…Introduction. In recent years, the Moore -Gibson -Thompson (MGT) equation, a linearization of a model for wave propagation in viscous thermally relaxing fluids, has caught a lot of attention (see [29,43,14,20,19,28,18,25,35,3,6,24,7,23,34,2,5] and references therein). This model is realized through the third order hyperbolic partial differential equation τ u ttt + u tt − c 2 ∆u − b∆u t = 0.…”
mentioning
confidence: 99%
See 2 more Smart Citations
“…Over the last years, the Moore -Gibson -Thompson (MGT) equation (cf. [30,45]), a linearization of a model for the wave propagation in viscous thermally relaxing fluids, has been studied by several authors (see, for example, [13,20,19,28,18,27,7,11,26,12,25,37,3,10,38,5,6,4,8]).…”
mentioning
confidence: 99%