2016
DOI: 10.1007/s00033-015-0597-8
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Moore–Gibson–Thompson equation with memory, part I: exponential decay of energy

Abstract: Abstract. We are interested in the Moore-Gibson-Thompson(MGT) equation with memoryWe first classify the memory into three types. Then we study how a memory term creates damping mechanism and how the memory causes energy decay.

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Cited by 99 publications
(94 citation statements)
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References 28 publications
(50 reference statements)
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“…In the case of memory of type I, Theorem 3.7 therein proves the exponential decay of solutions in the subcritical case. This result has been already shown for finite memory of type I in [8] (see also [9] for more general relaxation kernels leading to uniform but not exponential decays). In the case of memory of type II, the same [1, Theorem 3.7] establishes the exponential decay of the energy in the subcritical case, but under strong "smallness" type restrictions imposed on the mass of kernel ̺.…”
Section: Introductionsupporting
confidence: 72%
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“…In the case of memory of type I, Theorem 3.7 therein proves the exponential decay of solutions in the subcritical case. This result has been already shown for finite memory of type I in [8] (see also [9] for more general relaxation kernels leading to uniform but not exponential decays). In the case of memory of type II, the same [1, Theorem 3.7] establishes the exponential decay of the energy in the subcritical case, but under strong "smallness" type restrictions imposed on the mass of kernel ̺.…”
Section: Introductionsupporting
confidence: 72%
“…In the case of memory of type II, the same [1, Theorem 3.7] establishes the exponential decay of the energy in the subcritical case, but under strong "smallness" type restrictions imposed on the mass of kernel ̺. Here, again, this is an extension to infinite memory of the results obtained in [8]. In short, this "smallness" condition requires a rather fast decay of the kernel g with respect to the strictly positive value αβ − γ.…”
Section: Introductionmentioning
confidence: 69%
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“…See in this regard the works by Kaltenbacher, Lasiecka, and Marchand, Marchand, McDevitt, and Triggiani, and Kaltenbacher, Lasiecka, and Pospieszalska . Later on, Irena Lasiecka and Xiaojun Wang showed a general decay result for the MGT equation with memory.…”
Section: Introductionmentioning
confidence: 94%