2000
DOI: 10.3934/dcds.2000.6.503
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Extended gradient systems: Dimension one

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Cited by 12 publications
(23 citation statements)
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“…The theory of φ-invariant or ergodic measures will not be needed in the following; we only note that all φ-invariant measures are supported on S, which was in a more general framework of "extended gradient systems" proved in [Sli99b]. Now we list further notation:…”
Section: The Induced Semiflow On the Space Of Measuresmentioning
confidence: 99%
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“…The theory of φ-invariant or ergodic measures will not be needed in the following; we only note that all φ-invariant measures are supported on S, which was in a more general framework of "extended gradient systems" proved in [Sli99b]. Now we list further notation:…”
Section: The Induced Semiflow On the Space Of Measuresmentioning
confidence: 99%
“…One of main difficulties when applying the semiflow φ to construction of stationary configurations with given properties, is that it is only formally gradient (the natural "Lyapunov" function A(u) = h(u i , u i+1 ) is divergent; for discussion of various properties of such systems we again refer the reader to [Sli99b]). We can, however, overcome this difficulty by working in the space A * S .…”
Section: Definition 31 a Semiflow ψ On A Set A Is Strictly Gradientmentioning
confidence: 99%
“…The existence of a global Lyapunov function for the semigroup generated by a formally gradient system on the set of spatially invariant measures was proved in [37] for small dimensions, n = 1 and n = 2. However, in the construction of this Lyapunov function certain specific facts were used, which have no analogues for n > 2.…”
Section: Formally Gradient Systems Of Reaction-diffusion Equations Anmentioning
confidence: 99%
“…Nevertheless, in spite of the lack of a global Lyapunov function, the existence of the gradient structure (11.1) does lead to very substantial simplification of the space-time dynamics generated by equation (0.1). (See, for example, [22,27,37] regarding a more detailed study of formally gradient systems in small dimensions n = 1 and n = 2. )…”
Section: Formally Gradient Systems Of Reaction-diffusion Equations Anmentioning
confidence: 99%
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