<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator><link href="https://lpetrov.cc/posts/feed.xml" rel="self" type="application/atom+xml" /><link href="https://lpetrov.cc/" rel="alternate" type="text/html" /><updated>2026-07-15T10:31:44-04:00</updated><id>https://lpetrov.cc/posts/feed.xml</id><title type="html">Leonid Petrov</title><subtitle>Leonid Petrov. Integrable Probability</subtitle><author><name>Leonid Petrov</name></author><entry><title type="html">Breaking Universality in Dimer Models (web app slides; 1920×1080)</title><link href="https://lpetrov.cc/2026/06/breaking-universality-web-talk/" rel="alternate" type="text/html" title="Breaking Universality in Dimer Models (web app slides; 1920×1080)" /><published>2026-06-04T00:00:00-04:00</published><updated>2026-06-04T00:00:00-04:00</updated><id>https://lpetrov.cc/2026/06/breaking-universality-web-talk</id><content type="html" xml:base="https://lpetrov.cc/2026/06/breaking-universality-web-talk/"><![CDATA[<div class="alert alert-warning" role="note">
<strong>Interactive web-app slides.</strong> Best viewed in a modern desktop browser at <strong>1920×1080</strong>. Controls: click/press <strong>Right</strong> to advance; press <strong>G</strong> to navigate.
</div>

<p><strong>Abstract.</strong> Dimer models (random lozenge or domino tilings) on large planar domains exhibit universality behavior: local convergence to translation-invariant Gibbs measures, global fluctuations described by the Gaussian Free Field (GFF), and Airy line ensemble at the edges. In this talk, I discuss two mechanisms that break this universality while preserving some exactly solvable structure. First, applying a strong double-well potential parallel to one of the triangular lattice directions induces a new “waterfall” phase in lozenge tilings, where the 2D Gibbs structure collapses into a new 1D process with an emergent period-two structure. The exact solvability is powered by the q-Racah orthogonal polynomials. Second, randomizing edge weights in Aztec domino tilings (in a diagonally layered manner) deforms limit shapes. Moreover, it leads to non-GFF Brownian motion-like fluctuations living on root-N scale or the same constant scale as the GFF, depending on the variance scaling in the random edge weights. The exact solvability here comes from explicit annealed Schur generating functions.</p>

<p>Based on joint works with Knizel and Bufetov-Zografos.</p>

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<p><a href="https://lpetrov.cc/talk/breaking-universality/" target="_blank">Open the web app slides<span class="sr-only"> (opens in new tab)</span></a></p>

<p>Viewing note: the presentation is tuned for a 1920×1080 projector or screen. The full web app bundle loads at startup; please allow it to finish loading before presenting.</p>]]></content><author><name>Leonid Petrov</name></author><category term="blog" /><category term="math" /><category term="talk" /><summary type="html"><![CDATA[Interactive web-app slides. Best viewed in a modern desktop browser at 1920×1080. Controls: click/press Right to advance; press G to navigate. Abstract. Dimer models (random lozenge or domino tilings) on large planar domains exhibit universality behavior: local convergence to translation-invariant Gibbs measures, global fluctuations described by the Gaussian Free Field (GFF), and Airy line ensemble at the edges. In this talk, I discuss two mechanisms that break this universality while preserving some exactly solvable structure. First, applying a strong double-well potential parallel to one of the triangular lattice directions induces a new “waterfall” phase in lozenge tilings, where the 2D Gibbs structure collapses into a new 1D process with an emergent period-two structure. The exact solvability is powered by the q-Racah orthogonal polynomials. Second, randomizing edge weights in Aztec domino tilings (in a diagonally layered manner) deforms limit shapes. Moreover, it leads to non-GFF Brownian motion-like fluctuations living on root-N scale or the same constant scale as the GFF, depending on the variance scaling in the random edge weights. The exact solvability here comes from explicit annealed Schur generating functions. Based on joint works with Knizel and Bufetov-Zografos.]]></summary></entry><entry><title type="html">Random Surfaces from Stacking Cubes: A Visual Journey (web app slides; 1920×1080)</title><link href="https://lpetrov.cc/2026/06/visual-web-talk/" rel="alternate" type="text/html" title="Random Surfaces from Stacking Cubes: A Visual Journey (web app slides; 1920×1080)" /><published>2026-06-04T00:00:00-04:00</published><updated>2026-06-04T00:00:00-04:00</updated><id>https://lpetrov.cc/2026/06/visual-web-talk</id><content type="html" xml:base="https://lpetrov.cc/2026/06/visual-web-talk/"><![CDATA[<div class="alert alert-warning" role="note">
<strong>Interactive web-app slides.</strong> Best viewed in a modern desktop browser at <strong>1920×1080</strong>. Controls: click/press <strong>Right</strong> to advance; press <strong>G</strong> to navigate.
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<p><strong>Abstract.</strong> How does a corner of a crystal (like sugar cube) get its rounded shape? This seemingly simple question leads to beautiful mathematics at the intersection of probability and geometry.</p>

<p>We explore random lozenge tilings — ways of covering regions with diamond-shaped tiles chosen uniformly at random from astronomically many possibilities. These tilings can be viewed as discrete 3D surfaces built from unit cubes, and the central question is: what does a “typical” random surface look like? The answer reveals a striking phenomenon: as the system grows large, randomness gives way to order, and the random surface concentrates around a deterministic “limit shape,” with sharp boundaries separating frozen crystalline regions from disordered liquid regions — a phase transition you can see with your eyes.</p>

<p>This probabilistic story connects to surprising areas of mathematics: algebraic combinatorics (symmetric functions), algebraic geometry (limit shapes are algebraic curves), statistical mechanics (exactly solvable models), and operations research (Markov chain Monte Carlo, coupling from the past for perfect sampling). At the same time, it provides a rich source of visual inspiration which, naturally, can even be 3D printed.</p>

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<p>Viewing note: the presentation is tuned for a 1920×1080 projector or screen. The full web app bundle loads at startup; please allow it to finish loading before presenting.</p>]]></content><author><name>Leonid Petrov</name></author><category term="blog" /><category term="math" /><category term="talk" /><summary type="html"><![CDATA[Interactive web-app slides. Best viewed in a modern desktop browser at 1920×1080. Controls: click/press Right to advance; press G to navigate. Abstract. How does a corner of a crystal (like sugar cube) get its rounded shape? This seemingly simple question leads to beautiful mathematics at the intersection of probability and geometry. We explore random lozenge tilings — ways of covering regions with diamond-shaped tiles chosen uniformly at random from astronomically many possibilities. These tilings can be viewed as discrete 3D surfaces built from unit cubes, and the central question is: what does a “typical” random surface look like? The answer reveals a striking phenomenon: as the system grows large, randomness gives way to order, and the random surface concentrates around a deterministic “limit shape,” with sharp boundaries separating frozen crystalline regions from disordered liquid regions — a phase transition you can see with your eyes. This probabilistic story connects to surprising areas of mathematics: algebraic combinatorics (symmetric functions), algebraic geometry (limit shapes are algebraic curves), statistical mechanics (exactly solvable models), and operations research (Markov chain Monte Carlo, coupling from the past for perfect sampling). At the same time, it provides a rich source of visual inspiration which, naturally, can even be 3D printed.]]></summary></entry><entry><title type="html">A Borodin–Okounkov–Geronimo–Case identity for tilted Toeplitz minors</title><link href="https://lpetrov.cc/2026/05/tilted-Toeplitz/" rel="alternate" type="text/html" title="A Borodin–Okounkov–Geronimo–Case identity for tilted Toeplitz minors" /><published>2026-05-22T00:00:00-04:00</published><updated>2026-05-22T00:00:00-04:00</updated><id>https://lpetrov.cc/2026/05/tilted-Toeplitz</id><content type="html" xml:base="https://lpetrov.cc/2026/05/tilted-Toeplitz/"><![CDATA[<p>We prove a Fredholm determinantal identity for the tilted Toeplitz minor
[
D_{N}^{\xi,\theta}(\varphi)\coloneqq
\det\bigl[(\theta_{i}\xi_{j}\varphi)<em>{i-j}\bigr]</em>{i,j=1}^{N},
]
generalizing the Borodin–Okounkov–Geronimo–Case identity to oblique splittings of the Hardy space. The tilts $\xi_j,\theta_i$ enter only through an oblique projection that multiplies the trace-class kernel $K$ inside the Fredholm determinant; the BOGC operator $A=I-K$ constructed from $\varphi$ is unchanged.</p>

<p>Baik–Liao–Liu (<a href="https://arxiv.org/abs/2603.01964">arXiv:2603.01964</a>) and Liu–Tripathi (<a href="https://arxiv.org/abs/2604.24747">arXiv:2604.24747</a>) have recently shown that the same tilted Toeplitz minor admits a contour Fredholm-determinantal representation, in connection with the periodic Totally Asymmetric Simple Exclusion Process (TASEP). In the periodic TASEP application of Baik–Liao–Liu, the formula plays an important role in identifying the periodic KPZ fixed point with general initial data. Our formula is a companion to their Fredholm determinant and readily reduces to the original BOGC identity.</p>

<p>The one-sided tilted Toeplitz minor (that is, when all $\theta_i=1$) admits a bialternant form recovering Schur and Grothendieck polynomials as special cases. A Cauchy–Binet expansion realizes $D_N^{\xi,\theta}$ as a restricted sum over partitions of products of Jacobi–Trudi type determinants, generalizing Gessel’s theorem. In the pure-shift setting this specializes to a skew Schur expansion. Finally, for finite Laurent exponential symbols, we record explicit resolvent-block flow identities and formulate the associated finite-dimensional closure problem. We also illustrate a possible asymptotic application leading to finite-rank perturbations of the Airy kernel.</p>]]></content><author><name>Leonid Petrov</name></author><category term="blog" /><category term="math" /><category term="preprint" /><summary type="html"><![CDATA[We prove a Fredholm determinantal identity for the tilted Toeplitz minor [ D_{N}^{\xi,\theta}(\varphi)\coloneqq \det\bigl[(\theta_{i}\xi_{j}\varphi){i-j}\bigr]{i,j=1}^{N}, ] generalizing the Borodin–Okounkov–Geronimo–Case identity to oblique splittings of the Hardy space. The tilts $\xi_j,\theta_i$ enter only through an oblique projection that multiplies the trace-class kernel $K$ inside the Fredholm determinant; the BOGC operator $A=I-K$ constructed from $\varphi$ is unchanged. Baik–Liao–Liu (arXiv:2603.01964) and Liu–Tripathi (arXiv:2604.24747) have recently shown that the same tilted Toeplitz minor admits a contour Fredholm-determinantal representation, in connection with the periodic Totally Asymmetric Simple Exclusion Process (TASEP). In the periodic TASEP application of Baik–Liao–Liu, the formula plays an important role in identifying the periodic KPZ fixed point with general initial data. Our formula is a companion to their Fredholm determinant and readily reduces to the original BOGC identity. The one-sided tilted Toeplitz minor (that is, when all $\theta_i=1$) admits a bialternant form recovering Schur and Grothendieck polynomials as special cases. A Cauchy–Binet expansion realizes $D_N^{\xi,\theta}$ as a restricted sum over partitions of products of Jacobi–Trudi type determinants, generalizing Gessel’s theorem. In the pure-shift setting this specializes to a skew Schur expansion. Finally, for finite Laurent exponential symbols, we record explicit resolvent-block flow identities and formulate the associated finite-dimensional closure problem. We also illustrate a possible asymptotic application leading to finite-rank perturbations of the Airy kernel.]]></summary></entry><entry><title type="html">Plancherel vs TASEP Fluctuations</title><link href="https://lpetrov.cc/2026/04/plancherel-vs-tasep/" rel="alternate" type="text/html" title="Plancherel vs TASEP Fluctuations" /><published>2026-04-20T00:00:00-04:00</published><updated>2026-04-20T00:00:00-04:00</updated><id>https://lpetrov.cc/2026/04/plancherel-vs-tasep</id><content type="html" xml:base="https://lpetrov.cc/2026/04/plancherel-vs-tasep/"><![CDATA[<div>A <a href="https://lpetrov.cc/simulations/2026-03-11-plancherel-vs-tasep/">common misconception</a> — Plancherel growth and the TASEP height function with step initial condition look alike, but their central fluctuations differ dramatically: Plancherel is $O(\sqrt{\log N})$ pointwise, while TASEP is $O(N^{1/6})$. Interactive side-by-side simulation.</div>]]></content><author><name>Leonid Petrov</name></author><category term="quick_link" /><summary type="html"><![CDATA[A common misconception — Plancherel growth and the TASEP height function with step initial condition look alike, but their central fluctuations differ dramatically: Plancherel is $O(\sqrt{\log N})$ pointwise, while TASEP is $O(N^{1/6})$. Interactive side-by-side simulation.]]></summary></entry><entry><title type="html">Computation and sampling for Schubert specializations</title><link href="https://lpetrov.cc/2026/03/schubert-computation-sampling/" rel="alternate" type="text/html" title="Computation and sampling for Schubert specializations" /><published>2026-03-20T00:00:00-04:00</published><updated>2026-03-20T00:00:00-04:00</updated><id>https://lpetrov.cc/2026/03/schubert-computation-sampling</id><content type="html" xml:base="https://lpetrov.cc/2026/03/schubert-computation-sampling/"><![CDATA[<p>We present computational results related to principal specializations of the Schubert polynomials $\mathfrak{S}_w(1^n)$ for permutations $w\in S_n$. Equivalently, these specializations count reduced pipe dreams (and reduced bumpless pipe dreams - RBPD) with boundary conditions determined by $w$. We find the first counterexample, at $n=17$, to the conjecture of Merzon-Smirnov that the maximal value of $\mathfrak{S}_w(1^n)$ is obtained at a layered permutation. We explore the typical permutation obtained from uniformly random RBPDs, revealing a permuton-like asymptotic behavior similar to the one derived for Grothendieck polynomials.</p>

<p>We implement and compare three recurrence relations for computing $\mathfrak{S}_w(1^n)$: the descent formula of Macdonald, the transition formula of Lascoux-Schützenberger, and the cotransition formula of Knutson. We prove that the global constraint of reducedness breaks the sublattice property of the underlying alternating sign matrix (ASM) lattice, preventing standard monotone Coupling From The Past (CFTP). To bypass this, we develop a highly efficient MCMC sampler augmented with macroscopic “droop” updates to guarantee state space connectivity and accelerate mixing. Our implementations enable computation of $\mathfrak{S}_w(1^n)$ up to $n\sim 20$ on a personal computer, and uniform sampling of reduced bumpless pipe dreams up to $n\sim 100$ on a cluster.</p>]]></content><author><name>Leonid Petrov</name></author><category term="blog" /><category term="math" /><category term="preprint" /><summary type="html"><![CDATA[We present computational results related to principal specializations of the Schubert polynomials $\mathfrak{S}_w(1^n)$ for permutations $w\in S_n$. Equivalently, these specializations count reduced pipe dreams (and reduced bumpless pipe dreams - RBPD) with boundary conditions determined by $w$. We find the first counterexample, at $n=17$, to the conjecture of Merzon-Smirnov that the maximal value of $\mathfrak{S}_w(1^n)$ is obtained at a layered permutation. We explore the typical permutation obtained from uniformly random RBPDs, revealing a permuton-like asymptotic behavior similar to the one derived for Grothendieck polynomials. We implement and compare three recurrence relations for computing $\mathfrak{S}_w(1^n)$: the descent formula of Macdonald, the transition formula of Lascoux-Schützenberger, and the cotransition formula of Knutson. We prove that the global constraint of reducedness breaks the sublattice property of the underlying alternating sign matrix (ASM) lattice, preventing standard monotone Coupling From The Past (CFTP). To bypass this, we develop a highly efficient MCMC sampler augmented with macroscopic “droop” updates to guarantee state space connectivity and accelerate mixing. Our implementations enable computation of $\mathfrak{S}_w(1^n)$ up to $n\sim 20$ on a personal computer, and uniform sampling of reduced bumpless pipe dreams up to $n\sim 100$ on a cluster.]]></summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://lpetrov.cc/__STORAGE_URL__/img/papers/bpd_sample_n100.png" /><media:content medium="image" url="https://lpetrov.cc/__STORAGE_URL__/img/papers/bpd_sample_n100.png" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Integrable Probability arXiv Feed</title><link href="https://lpetrov.cc/2026/03/arxiv-feed/" rel="alternate" type="text/html" title="Integrable Probability arXiv Feed" /><published>2026-03-09T00:00:00-04:00</published><updated>2026-03-09T00:00:00-04:00</updated><id>https://lpetrov.cc/2026/03/arxiv-feed</id><content type="html" xml:base="https://lpetrov.cc/2026/03/arxiv-feed/"><![CDATA[<div><a href="https://lpetrov.cc/arxiv/">Integrable Probability arXiv Feed</a> — a curated, searchable archive of arXiv papers in integrable probability, from the 1990s to the present, with related paper cross-references.</div>]]></content><author><name>Leonid Petrov</name></author><category term="quick_link" /><summary type="html"><![CDATA[Integrable Probability arXiv Feed — a curated, searchable archive of arXiv papers in integrable probability, from the 1990s to the present, with related paper cross-references.]]></summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://lpetrov.cc/__STORAGE_URL__/img/blog/arxiv-feed.png" /><media:content medium="image" url="https://lpetrov.cc/__STORAGE_URL__/img/blog/arxiv-feed.png" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Lozenge Merch</title><link href="https://lpetrov.cc/2026/03/merch/" rel="alternate" type="text/html" title="Lozenge Merch" /><published>2026-03-01T00:00:00-05:00</published><updated>2026-03-01T00:00:00-05:00</updated><id>https://lpetrov.cc/2026/03/merch</id><content type="html" xml:base="https://lpetrov.cc/2026/03/merch/"><![CDATA[<div>Get a lozenge design printed on anything! (<a href="https://www.redbubble.com/people/tilinger/shop?asc=u" target="_blank" rel="noopener">Link to shop</a>)</div>]]></content><author><name>Leonid Petrov</name></author><category term="quick_link" /><summary type="html"><![CDATA[Get a lozenge design printed on anything! (Link to shop)]]></summary></entry><entry><title type="html">Math Experimental Lab Spring 2026</title><link href="https://lpetrov.cc/2026/02/mel-s26/" rel="alternate" type="text/html" title="Math Experimental Lab Spring 2026" /><published>2026-02-05T00:00:00-05:00</published><updated>2026-02-05T00:00:00-05:00</updated><id>https://lpetrov.cc/2026/02/mel-s26</id><content type="html" xml:base="https://lpetrov.cc/2026/02/mel-s26/"><![CDATA[<div><a href="https://lpetrov.cc/mel-s26/">Math Experimental Lab: Random Surfaces and Random Permutations</a> — Spring 2026 project page.</div>]]></content><author><name>Leonid Petrov</name></author><category term="quick_link" /><summary type="html"><![CDATA[Math Experimental Lab: Random Surfaces and Random Permutations — Spring 2026 project page.]]></summary></entry><entry><title type="html">Colored Interlacing Triangles and Genocchi Medians</title><link href="https://lpetrov.cc/2026/02/genocchi/" rel="alternate" type="text/html" title="Colored Interlacing Triangles and Genocchi Medians" /><published>2026-02-04T00:00:00-05:00</published><updated>2026-02-04T00:00:00-05:00</updated><id>https://lpetrov.cc/2026/02/genocchi</id><content type="html" xml:base="https://lpetrov.cc/2026/02/genocchi/"><![CDATA[<p>Colored interlacing triangles, introduced by Aggarwal-Borodin-Wheeler (2024), provide the combinatorial framework for the Central Limit Theorem for probability measures arising from the Lascoux-Leclerc-Thibon (LLT) polynomials. Colored interlacing triangles depend on two key parameters: the number of colors $n$ and the depth of the triangle $N$. Recent work of Gaetz-Gao (2025) connects these objects to Schubert calculus and resolves the enumeration for $n=3$ and arbitrary depth $N$. However, the enumerative behavior for general $n$ has remained open.</p>

<p>In this paper, we analyze the complementary regime: fixed depth $N=2$ and arbitrary number of colors $n$. We prove that in this setting, colored interlacing triangles are in bijection with Dumont derangements, identifying their enumeration with the Genocchi medians. This connects the probabilistic model to a rich hierarchy of classical combinatorial objects.</p>

<p>Furthermore, we introduce a $q$-deformation of this enumeration arising naturally from the LLT transition energy. This yields new $q$-analogs of the Genocchi medians. Finally, we present computational results and sampling algorithms for colored interlacing triangles with higher $N$ or $n$, which suggests the limits of combinatorial tractability in the $(N,n)$ parameter space.</p>]]></content><author><name>Leonid Petrov</name></author><category term="blog" /><category term="math" /><category term="preprint" /><summary type="html"><![CDATA[Colored interlacing triangles, introduced by Aggarwal-Borodin-Wheeler (2024), provide the combinatorial framework for the Central Limit Theorem for probability measures arising from the Lascoux-Leclerc-Thibon (LLT) polynomials. Colored interlacing triangles depend on two key parameters: the number of colors $n$ and the depth of the triangle $N$. Recent work of Gaetz-Gao (2025) connects these objects to Schubert calculus and resolves the enumeration for $n=3$ and arbitrary depth $N$. However, the enumerative behavior for general $n$ has remained open. In this paper, we analyze the complementary regime: fixed depth $N=2$ and arbitrary number of colors $n$. We prove that in this setting, colored interlacing triangles are in bijection with Dumont derangements, identifying their enumeration with the Genocchi medians. This connects the probabilistic model to a rich hierarchy of classical combinatorial objects. Furthermore, we introduce a $q$-deformation of this enumeration arising naturally from the LLT transition energy. This yields new $q$-analogs of the Genocchi medians. Finally, we present computational results and sampling algorithms for colored interlacing triangles with higher $N$ or $n$, which suggests the limits of combinatorial tractability in the $(N,n)$ parameter space.]]></summary></entry><entry><title type="html">EGMT 1520 • Building Truth from Scratch (Empirical &amp;amp; Scientific Engagement)</title><link href="https://lpetrov.cc/2026/01/EGMT/" rel="alternate" type="text/html" title="EGMT 1520 • Building Truth from Scratch (Empirical &amp;amp; Scientific Engagement)" /><published>2026-01-11T00:00:00-05:00</published><updated>2026-01-11T00:00:00-05:00</updated><id>https://lpetrov.cc/2026/01/EGMT</id><content type="html" xml:base="https://lpetrov.cc/2026/01/EGMT/"><![CDATA[]]></content><author><name>Leonid Petrov</name></author><category term="teaching" /><summary type="html"><![CDATA[]]></summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://lpetrov.cc/__STORAGE_URL__/courses/EGMT/EGMT_image.png" /><media:content medium="image" url="https://lpetrov.cc/__STORAGE_URL__/courses/EGMT/EGMT_image.png" xmlns:media="http://search.yahoo.com/mrss/" /></entry></feed>