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arxiv: 1803.01186 · v2 · pith:E4H2LUDLnew · submitted 2018-03-03 · 🧮 math.SP

Localization and landscape functions on quantum graphs

classification 🧮 math.SP
keywords landscapeeigenfunctionsexamplesfunctionfunctionsupsilondifferentenergy
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We discuss explicit landscape functions for quantum graphs. By a "landscape function" $\Upsilon(x)$ we mean a function that controls the localization properties of normalized eigenfunctions $\psi(x)$ through a pointwise inequality of the form $$ |\psi(x)| \le \Upsilon(x). $$ The ideal $\Upsilon$ is a function that a) responds to the potential energy $V(x)$ and to the structure of the graph in some formulaic way; b) is small in examples where eigenfunctions are suppressed by the tunneling effect, and c) relatively large in regions where eigenfunctions may - or may not - be concentrated, as observed in specific examples. It turns out that the connectedness of a graph can present a barrier to the existence of universal landscape functions in the high-energy r\'egime, as we show with simple examples. We therefore apply different methods in different r\'egimes determined by the values of the potential energy $V(x)$ and the eigenvalue parameter $E$.

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