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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Measuring thermodynamic length · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/0706.0559/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/0706.0559/feed.xml" rel="self" type="application/rss+xml" /><item><title>Measuring thermodynamic length — mentioned by tMcGrath</title><link>https://news.ycombinator.com/item?id=13249503</link><guid isPermaLink="false">urn:hackerpapers:mention:0706.0559:13249503</guid><pubDate>Sat, 24 Dec 2016 12:10:44 GMT</pubDate><description>&lt;p&gt;There&amp;#x27;s also an interesting set of applications in statistical physics: many systems can be modelled by Markov chains whose rate parameters can change through time. Changing these parameters non-quasistatically (i.e. so that the system does not relax to the appropriate steady state) gives rise to distances on parameter space that are related to the amount of energy dissipated along the path through parameter space [0,1]. What&amp;#x27;s nice about this is that the derivation of a suitable metric allows us to compute trajectories that minimise quantities we care about (e.g. minimise energy dissipated)…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/0706.0559/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cond-mat.stat-mech</category></item></channel></rss>
