Dynamical phase transition in large deviation statistics of the Kardar-Parisi-Zhang equation
We study the short-time behavior of the probability distribution \(\mathcal{P}(H,t)\) of the surface height \(h(x=0,t)=H\) in the Kardar-Parisi-Zhang (KPZ) equation in \(1+1\) dimension. The process starts from a stationary interface: \(h(x,t=0)\) is given by a realization of two-sided Brownian moti...
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description | We study the short-time behavior of the probability distribution \(\mathcal{P}(H,t)\) of the surface height \(h(x=0,t)=H\) in the Kardar-Parisi-Zhang (KPZ) equation in \(1+1\) dimension. The process starts from a stationary interface: \(h(x,t=0)\) is given by a realization of two-sided Brownian motion constrained by \(h(0,0)=0\). We find a singularity of the large deviation function of \(H\) at a critical value \(H=H_c\). The singularity has the character of a second-order phase transition. It reflects spontaneous breaking of the reflection symmetry \(x \leftrightarrow -x\) of optimal paths \(h(x,t)\) predicted by the weak-noise theory of the KPZ equation. At \(|H|\gg |H_c|\) the corresponding tail of \(\mathcal{P}(H)\) scales as \(-\ln \mathcal{P} \sim |H|^{3/2}/t^{1/2}\) and agrees, at any \(t>0\), with the proper tail of the Baik-Rains distribution, previously observed only at long times. The other tail of \(\mathcal{P}\) scales as \(-\ln \mathcal{P} \sim |H|^{5/2}/t^{1/2}\) and coincides with the corresponding tail for the sharp-wedge initial condition. |
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The process starts from a stationary interface: \(h(x,t=0)\) is given by a realization of two-sided Brownian motion constrained by \(h(0,0)=0\). We find a singularity of the large deviation function of \(H\) at a critical value \(H=H_c\). The singularity has the character of a second-order phase transition. It reflects spontaneous breaking of the reflection symmetry \(x \leftrightarrow -x\) of optimal paths \(h(x,t)\) predicted by the weak-noise theory of the KPZ equation. At \(|H|\gg |H_c|\) the corresponding tail of \(\mathcal{P}(H)\) scales as \(-\ln \mathcal{P} \sim |H|^{3/2}/t^{1/2}\) and agrees, at any \(t>0\), with the proper tail of the Baik-Rains distribution, previously observed only at long times. The other tail of \(\mathcal{P}\) scales as \(-\ln \mathcal{P} \sim |H|^{5/2}/t^{1/2}\) and coincides with the corresponding tail for the sharp-wedge initial condition.</description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.1606.08738</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Brownian motion ; Deviation ; Noise prediction ; Phase transitions ; Physics - Statistical Mechanics</subject><ispartof>arXiv.org, 2016-09</ispartof><rights>2016. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). 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The process starts from a stationary interface: \(h(x,t=0)\) is given by a realization of two-sided Brownian motion constrained by \(h(0,0)=0\). We find a singularity of the large deviation function of \(H\) at a critical value \(H=H_c\). The singularity has the character of a second-order phase transition. It reflects spontaneous breaking of the reflection symmetry \(x \leftrightarrow -x\) of optimal paths \(h(x,t)\) predicted by the weak-noise theory of the KPZ equation. At \(|H|\gg |H_c|\) the corresponding tail of \(\mathcal{P}(H)\) scales as \(-\ln \mathcal{P} \sim |H|^{3/2}/t^{1/2}\) and agrees, at any \(t>0\), with the proper tail of the Baik-Rains distribution, previously observed only at long times. The other tail of \(\mathcal{P}\) scales as \(-\ln \mathcal{P} \sim |H|^{5/2}/t^{1/2}\) and coincides with the corresponding tail for the sharp-wedge initial condition.</description><subject>Brownian motion</subject><subject>Deviation</subject><subject>Noise prediction</subject><subject>Phase transitions</subject><subject>Physics - Statistical Mechanics</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GOX</sourceid><recordid>eNotkM1qwzAQhEWh0JDmAXqqoGena0mWN8eS_tJAe8ipFMxalmKFxE4kOzRv39TpaWD4GGaGsZsUpgqzDO4p_PjDNNWgp4C5xAs2ElKmCSohrtgkxjUACJ2LLJMj9v14bGjrDW34rqZoeReoib7zbcN9wzcUVpZX9uBpsGJ30th5E3nreFdb_k6hopB8UvDRJ181NStu9_2AX7NLR5toJ_86Zsvnp-X8NVl8vLzNHxYJZUIlzjhjZGoNuJlximbWlU5WEk0GOaRYohGaXFWhtqZUhiRoLXO0Nk-lwpkcs9tz7DC92AW_pXAs_i4ohgtOxN2Z2IV239vYFeu2D82pUyEAIVeAqOQvhfpgqQ</recordid><startdate>20160925</startdate><enddate>20160925</enddate><creator>Janas, Michael</creator><creator>Kamenev, Alex</creator><creator>Meerson, Baruch</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>GOX</scope></search><sort><creationdate>20160925</creationdate><title>Dynamical phase transition in large deviation statistics of the Kardar-Parisi-Zhang equation</title><author>Janas, Michael ; Kamenev, Alex ; Meerson, Baruch</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a524-fcfcc31ec0f9cf4a9efbf3d38c507018b8c26afdd86ecb4ca3066378ee7134893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Brownian motion</topic><topic>Deviation</topic><topic>Noise prediction</topic><topic>Phase transitions</topic><topic>Physics - Statistical Mechanics</topic><toplevel>online_resources</toplevel><creatorcontrib>Janas, Michael</creatorcontrib><creatorcontrib>Kamenev, Alex</creatorcontrib><creatorcontrib>Meerson, Baruch</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>arXiv.org</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Janas, Michael</au><au>Kamenev, Alex</au><au>Meerson, Baruch</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamical phase transition in large deviation statistics of the Kardar-Parisi-Zhang equation</atitle><jtitle>arXiv.org</jtitle><date>2016-09-25</date><risdate>2016</risdate><eissn>2331-8422</eissn><abstract>We study the short-time behavior of the probability distribution \(\mathcal{P}(H,t)\) of the surface height \(h(x=0,t)=H\) in the Kardar-Parisi-Zhang (KPZ) equation in \(1+1\) dimension. The process starts from a stationary interface: \(h(x,t=0)\) is given by a realization of two-sided Brownian motion constrained by \(h(0,0)=0\). We find a singularity of the large deviation function of \(H\) at a critical value \(H=H_c\). The singularity has the character of a second-order phase transition. It reflects spontaneous breaking of the reflection symmetry \(x \leftrightarrow -x\) of optimal paths \(h(x,t)\) predicted by the weak-noise theory of the KPZ equation. At \(|H|\gg |H_c|\) the corresponding tail of \(\mathcal{P}(H)\) scales as \(-\ln \mathcal{P} \sim |H|^{3/2}/t^{1/2}\) and agrees, at any \(t>0\), with the proper tail of the Baik-Rains distribution, previously observed only at long times. The other tail of \(\mathcal{P}\) scales as \(-\ln \mathcal{P} \sim |H|^{5/2}/t^{1/2}\) and coincides with the corresponding tail for the sharp-wedge initial condition.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.1606.08738</doi><oa>free_for_read</oa></addata></record> |
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title | Dynamical phase transition in large deviation statistics of the Kardar-Parisi-Zhang equation |
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