2020
DOI: 10.1007/s10240-020-00121-1
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Tightness of Liouville first passage percolation for $\gamma \in (0,2)$

Abstract: Liouville first passage percolation (LFPP) with parameter ξ > 0 is the family of random distance functions {D h } >0 on the plane obtained by integrating e ξh along paths, where h for > 0 is a smooth mollification of the planar Gaussian free field. Previous work by Ding-Dubédat-Dunlap-Falconet and Gwynne-Miller has shown that there is a critical value ξ crit > 0 such that for ξ < ξ crit , LFPP converges under appropriate re-scaling to a random metric on the plane which induces the same topology as the Euclidea… Show more

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Cited by 58 publications
(100 citation statements)
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References 68 publications
(62 reference statements)
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“…By (1.6), this results in scaling distances by C ξ/γ = C 1/d γ , which is consistent with the 2 The reason why we sometimes restrict to bounded continuous functions is to ensure that the convolution with the whole-plane heat kernel is finite (so D ε h is defined) and that the results about subsequential limits of LFPP in [16,18] are applicable. 3 One can also consider other variants of LFPP, defined using different approximations of the GFF, but we consider h * ε here since this is the approximation for which tightness is proven in [16]. If we knew tightness and some basic properties of the subsequential limiting metrics for LFPP defined using a different approximation of the GFF, then Theorem 1.8 below would show that these variants of LFPP also converge to the γ -LQG metric.…”
Section: Overviewsupporting
confidence: 56%
“…By (1.6), this results in scaling distances by C ξ/γ = C 1/d γ , which is consistent with the 2 The reason why we sometimes restrict to bounded continuous functions is to ensure that the convolution with the whole-plane heat kernel is finite (so D ε h is defined) and that the results about subsequential limits of LFPP in [16,18] are applicable. 3 One can also consider other variants of LFPP, defined using different approximations of the GFF, but we consider h * ε here since this is the approximation for which tightness is proven in [16]. If we knew tightness and some basic properties of the subsequential limiting metrics for LFPP defined using a different approximation of the GFF, then Theorem 1.8 below would show that these variants of LFPP also converge to the γ -LQG metric.…”
Section: Overviewsupporting
confidence: 56%
“…The following theorem was proven in [DDDF19,GM19d,DFG+19,GM19a,GM19c,GM19b]. Theorem 1.5 (Existence and uniqueness of the LQG metric).…”
Section: Definition Of the Lqg Metricmentioning
confidence: 98%
“…There is also an earlier construction of the LQG metric in the special case when γ = √ 8/3 due to Miller and Sheffield [MS15,MS16a,MS16b]. This construction uses a completely different regularization procedure from the one in [DDDF19,GM19c] which only works for γ = √ 8/3. However, the Miller-Sheffield construction gives additional information about the √ 8/3-LQG metric which is not apparent from the construction in [DDDF19,GM19c], such as certain Markov properties for LQG metric balls and the connection to the Brownian map [Le 13,Mie13].…”
Section: Belowmentioning
confidence: 99%
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