Critical Exponent of the Localization Length for the Symplectic Case
classification
❄️ cond-mat
hep-th
keywords
casecriticalexponentlengthlocalizationseriessymplecticvarepsilon
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A new summability method was tested to calculate the critical exponent $\nu$ of the localization length for the symplectic case derived from the non-linear $\sigma$-model. Although we used the same series as Hikami and others, unlike them we were able to resum the series in two-dimensions (2D) and obtain the result $\nu\sim 1$. Values of $\nu$ in $2+\varepsilon$ dimensions seem to saturate the Harris inequality up to $\varepsilon=0.2$.
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