arXiv papers

Blow-up for the incompressible 3D-Euler equations with uniform \( C^{1,\frac{1}{2}-ε}\cap L^2 \) force

Diego Córdoba, Luis Martínez-Zoroa

https://arxiv.org/abs/2309.08495

This paper presents a novel approach to establish a blow-up mechanism for the forced 3D incompressible Euler equations, with a specific focus on non-axisymmetric solutions. We construct solutions on \( \mathbb{R}^3 \) within the function space \( C^{3,\frac12}\cap L^2 \) for the time interval \( \left[ 0, T \right) \), where \( T > 0 \) is finite, subject to a uniform force in \( C^{1,\frac12 -\epsilon}\cap L^2 \). Remarkably, our methodology results in a blow-up: as the time t approaches the blow-up moment T, the integral \( \int_0^t |\nabla u| ds \) tends to infinity, all while preserving the solution’s smoothness throughout, except at the origin. In the process of our blow-up construction, self-similar coordinates are not utilized and we are able to treat solutions beyond the \( C^{1,\frac13+} \) threshold regularity of axy-symmetric solutions without swirl.


Finite time blowup for an averaged three-dimensional Navier-Stokes equation

Terence Tao

The Navier-Stokes equation on the Euclidean space \( \mathbf{R}^3 \) can be expressed in the form \( \partial_t u = \Delta u + B(u,u) \), where B is a certain bilinear operator on divergence-free vector fields u obeying the cancellation property \( \langle B(u,u), u\rangle=0 \) (which is equivalent to the energy identity for the Navier-Stokes equation). In this paper, we consider a modification \( \partial_t u = \Delta u + \tilde B(u,u) \) of this equation, where \( \tilde B \) is an averaged version of the bilinear operator \( B \) (where the average involves rotations and Fourier multipliers of order zero), and which also obeys the cancellation condition \( \langle \tilde B(u,u), u \rangle = 0 \) (so that it obeys the usual energy identity). By analysing a system of ODE related to (but more complicated than) a dyadic Navier-Stokes model of Katz and Pavlovic, we construct an example of a smooth solution to such a averaged Navier-Stokes equation which blows up in finite time. This demonstrates that any attempt to positively resolve the Navier-Stokes global regularity problem in three dimensions has to use finer structure on the nonlinear portion \( B(u,u) \) of the equation than is provided by harmonic analysis estimates and the energy identity. We also propose a program for adapting these blowup results to the true Navier-Stokes equations.

https://arxiv.org/abs/1402.0290


Theory of Fluids Enters the 21st Century

From the 1800s to the early 2000s, physicists used the same theory to understand the behavior of fluids. Now, using a modern insight, they have redefined fluids from the bottom up.

Hydrodynamics as the effective field theory of strong-to-weak spontaneous symmetry breaking

Xiaoyang Huang, Marvin Qi, Jian-Hao Zhang, Andrew Lucas

https://arxiv.org/abs/2407.08760

Inspired by the hunt for new phases of matter in quantum mixed states, it has recently been proposed that the equivalence of microcanonical and canonical ensembles in statistical mechanics is a manifestation of strong-to-weak spontaneous symmetry breaking (SWSSB) in an underlying many-body quantum description. Here, we build an effective field theory for SWSSB of a global \( U(1) \) symmetry; the answer exactly reproduces the Schwinger-Keldysh effective field theory of diffusion for the conserved charge. We conclude that hydrodynamics can be understood as a theory of “superfluidity” for the broken strong symmetry: a non-vanishing susceptibility is a measurable order parameter for SWSSB, the diffusion mode is the Goldstone boson of the spontaneously broken continuous symmetry, and a generalization of Goldstone’s Theorem implies that the diffusion mode is always long-lived. This perspective provides a transparent physical explanation for the unusual “reparameterization” symmetries which are a necessary ingredient of Schwinger-Keldysh effective field theories for “normal fluids”.

Strong-to-Weak Spontaneous Symmetry Breaking in Mixed Quantum States

Leonardo A. Lessa, Ruochen Ma, Jian-Hao Zhang, Zhen Bi, Meng Cheng, Chong Wang

https://arxiv.org/abs/2405.03639

Symmetry in mixed quantum states can manifest in two distinct forms: strong symmetry, where each individual pure state in the quantum ensemble is symmetric with the same charge, and weak symmetry, which applies only to the entire ensemble. This paper explores a novel type of spontaneous symmetry breaking (SSB) where a strong symmetry is broken to a weak one. While the SSB of a weak symmetry is measured by the long-ranged two-point correlation function, the strong-to-weak SSB (SW-SSB) is measured by the fidelity correlator. We prove that SW-SSB is a universal property of mixed-state quantum phases, in the sense that the phenomenon of SW-SSB is robust against symmetric low-depth local quantum channels. We also show that the symmetry breaking is “spontaneous” in the sense that the effect of a local symmetry-breaking measurement cannot be recovered locally. We argue that a thermal state at a nonzero temperature in the canonical ensemble (with fixed symmetry charge) should have spontaneously broken strong symmetry. Additionally, we study non-thermal scenarios where decoherence induces SW-SSB, leading to phase transitions described by classical statistical models with bond randomness. In particular, the SW-SSB transition of a decohered Ising model can be viewed as the “ungauged” version of the celebrated toric code decodability transition. We confirm that, in the decohered Ising model, the SW-SSB transition defined by the fidelity correlator is the only physical transition in terms of channel recoverability. We also comment on other (inequivalent) definitions of SW-SSB, through correlation functions with higher Renyi indices.

Fracton hydrodynamics

Andrey Gromov, Andrew Lucas, Rahul M. Nandkishore

https://arxiv.org/abs/2003.09429

We introduce new classes of hydrodynamic theories inspired by the recently discovered fracton phases of quantum matter. Fracton phases are characterized by elementary excitations (fractons) with restricted mobility. The hydrodynamic theories we introduce describe thermalization in systems with fracton-like mobility constraints, including fluids where charge and dipole moment are both locally conserved, and fluids where charge is conserved along every line or plane of a lattice. Each of these fluids is subdiffusive, and constitutes a new universality class of hydrodynamic behavior. There are infinitely many such classes, each with distinct subdiffusive exponents, all of which are captured by our formalism. Our framework naturally explains recent results on dynamics with constrained quantum circuits, as well as recent experiments with ultracold atoms in tilted optical lattices. We identify crisp experimental signatures of these novel hydrodynamics, and explain how they may be realized in near term ultracold atom experiments.

Lectures on non-equilibrium effective field theories and fluctuating hydrodynamics

Paolo Glorioso, Hong Liu

https://arxiv.org/abs/1805.09331

We review recent progress in developing effective field theories (EFTs) for non-equilibrium processes at finite temperature, including a new formulation of fluctuating hydrodynamics, and a new proof of the second law of thermodynamics. There are a number of new elements in formulating EFTs for such systems. Firstly, the nature of IR variables is very different from those of a system in equilibrium or near the vacuum. Secondly, while all static properties of an equilibrium system can in principle be extracted from the partition function, there appears no such quantity which can capture all non-equilibrium properties. Thirdly, non-equilibrium processes often involve dissipation, which is notoriously difficult to deal with using an action principle. The purpose of the review is to explain how to address these issues in a pedagogic manner, with fluctuating hydrodynamics as a main example.

Effective field theory of dissipative fluids

Michael Crossley, Paolo Glorioso, Hong Liu

https://arxiv.org/abs/1511.03646

We develop an effective field theory for dissipative fluids which governs the dynamics of long-lived gapless modes associated with conserved quantities. The resulting theory gives a path integral formulation of fluctuating hydrodynamics which systematically incorporates nonlinear interactions of noises. The dynamical variables are mappings between a “fluid spacetime” and the physical spacetime and an essential aspect of our formulation is to identify the appropriate symmetries in the fluid spacetime. The theory applies to nonlinear disturbances around a general density matrix. For a thermal density matrix, we require an additional \( Z_2 \) symmetry, to which we refer as the local KMS condition. This leads to the standard constraints of hydrodynamics, as well as a nonlinear generalization of the Onsager relations. It also leads to an emergent supersymmetry in the classical statistical regime, and a higher derivative deformation of supersymmetry in the full quantum regime.

Null energy condition and superluminal propagation

S. Dubovsky, T. Gregoire, A. Nicolis, R. Rattazzi

https://arxiv.org/abs/hep-th/0512260

We study whether a violation of the null energy condition necessarily implies the presence of instabilities. We prove that this is the case in a large class of situations, including isotropic solids and fluids relevant for cosmology. On the other hand we present several counter-examples of consistent effective field theories possessing a stable background where the null energy condition is violated. Two necessary features of these counter-examples are the lack of isotropy of the background and the presence of superluminal modes. We argue that many of the properties of massive gravity can be understood by associating it to a solid at the edge of violating the null energy condition. We briefly analyze the difficulties of mimicking \( \dot H>0 \) in scalar tensor theories of gravity.

The Four Color Theorem with Linearly Many Reducible Configurations and Near-Linear Time Coloring

Yuta Inoue, Ken-ichi Kawarabayashi, Atsuyuki Miyashita, Bojan Mohar, Carsten Thomassen, Mikkel Thorup

https://arxiv.org/abs/2603.24880

We give a near-linear time 4-coloring algorithm for planar graphs, improving on the previous quadratic time algorithm by Robertson et al. from 1996. Such an algorithm cannot be achieved by the known proofs of the Four Color Theorem (4CT). Technically speaking, we show the following significant generalization of the 4CT: every planar triangulation contains linearly many pairwise non-touching reducible configurations or pairwise non-crossing obstructing cycles of length at most 5 (which all allow for making effective 4-coloring reductions).
The known proofs of the 4CT only show the existence of a single reducible configuration or obstructing cycle in the above statement. The existence is proved using the discharging method based on combinatorial curvature. It identifies reducible configurations in parts where the local neighborhood has positive combinatorial curvature. Our result significantly strengthens the known proofs of 4CT, showing that we can also find reductions in large ``flat” parts where the curvature is zero, and moreover, we can make reductions almost anywhere in a given planar graph. This also opens possibilities for extensions to higher surfaces since we can find such flat parts in any large-width triangulation of any fixed surface.
From a computational perspective, the old proofs allowed us to apply induction on a problem that is smaller by some additive constant. The inductive step took linear time, resulting in a quadratic total time. With our linear number of reducible configurations or obstructing cycles, we can reduce the problem size by a constant factor. Our inductive step takes \( O(n\log n) \) time, yielding a 4-coloring in \( O(n\log n) \) total time. To efficiently handle a linear number of reducible configurations, we need them to be sufficiently robust to be useful in other applications. All our reducible configurations are what is known as D-reducible.


The Four-Color Theorem Gets a Rare New Proof

My English Phrases List - September - 2026

make it

His parents convinced him that he could make it in anything he chose to do if he worked hard enough.

good for (someone or something)

used to express approval of someone

“I passed the exam!” “Good for you!”

“He got the job.” “Good for him!”

resulting in something good or desirable for (someone or something)

Regular exercise is good for you.

used to say how long something will continue or be valid

This offer is good for the remainder of the month.

stay up

Don’t stay up past your bedtime.

She stayed up to watch the late movie.

read between the lines

Pay attention to what is being said and read between the lines. — Valerie Mesa, PEOPLE, 31 July 2026

vote with one’s feet

Theoretical physicists tend to vote with their feet, and AdS/CFT sparked a stampede. - Gravity Seems Holographic. What Does That Mean for Reality?

When the restaurant changed its menu, many former customers voted with their feet.

My English Words List - September - 2026

thrilled

thrilled

adjective

I was thrilled to be chosen.

“I was thrilled that the problem was solved,” said Charles Fefferman of Princeton University, who wrote the Clay Institute’s official description of the Navier-Stokes problem. - AI Has Solved One of Math’s $1 Million Millennium Prize Problems

range

range

noun

electric range

range hood

A kitchen hood in a small apartment

cue

noun

Cue stick

A pool cue and its major parts.

pickpocket

pickpocket

noun

The Only Living Pickpocket in New York is a 2026 American crime thriller film written and directed by Noah Segan.

easygoing

easygoing

adjective

counselors at the summer camp are pretty easygoing.

There was a small Jewish literary crowd in the city that tried to stay neutral. It was at one of their salons that Einstein met Franz Kafka, although it seems that Kafka was too shy to say anything to this easygoing, already respected foreigner. What they might have talked about otherwise, we can only imagine. - Einstein’s greatest mistake, Chapter Six Time to think, by David Bodanis

macronutrient

macronutrient

noun

mind your macros.

Of the three macronutrients, carbohydrates have the greatest impact on blood sugar levels because they are broken down into glucose, causing blood sugar to rise. — Jillian Kubala, HEALTH, 17 Sep. 2026

geranium

geranium

noun

the scarlet geranium

Flowers like geraniums, coleus, and lavender are easy to propagate and maintain with proper care indoors. — Alexandra Jones, The Spruce, 30 Aug. 2026

chalet

chalet

noun

Illustration of chalet

We stayed overnight at a ski chalet.

Swiss Chalet is a Canadian chain of casual dining restaurants founded in 1954 in Toronto, Ontario, Canada.

coach

coach

noun

a football coach

a gymnastics coach

a tennis coach

a swimming coach

tutor

tutor

noun

I got a tutor to help me with my homework.

He is a tutor in European history.

A math tutor teaches you calculus.

My tutor explained quadratic equations to me.

If you’re studying Galois theory, someone who patiently explains field extensions and works through problems with you is primarily a tutor.

mentor

mentor

noun

… a good mentor can model for you the things you need to do to learn and grow, what battles to fight, what steps to be taken … — Judy Rosemarin

After college, her professor became her close friend and mentor.

My mentor helped me decide whether I should pursue a career in software engineering.

block and tackle

block and tackle

noun

Various ways of rigging a tackle.

A block and tackle is a system of two or more pulleys with a rope or cable threaded between them, used to provide tension and lift heavy loads.

ill-advised

ill-advised

adjective

an ill-advised decision

Trump is ‘ill-advised’ about artificial intelligence, says ‘godfather’ of AI

ill-mannered

ill-mannered

adjective

an ill-mannered child who refuses to say “please” or “thank you”

Nasty name-calling, ill-mannered insults, and menacing mudslinging have been a part of American politics for centuries. — Christopher Harris, CBS News, 21 Nov. 2025

100 Outside Voices

A Company Induction and Celebration of Found Spaces in Toronto

by Vanessa Smythe

the way I see it
we have two sources of light:
the stories we tell and the sun
what if all the people in our city disappeared.
you woke up went outside but heard nothing
not only people
but the animals too, the bugs,
even flowers bent down and stopped breathing.
all the clocks struck and they echoed so far,
because no one was there to muffle the sound
If all of us vanished, think of the things we would lose.
like the time I walked home talking to you on the phone, so it was like you were walking there
with me, and it took me several minutes to even realize it had started to snow.
or the time it was New Years Eve! and in the middle of the street
I met students underdressed and holding instruments
and all of us sang made up songs that would never again be repeated
as we walked to get breakfast in a diner that pulled five tables together just so we could eat side by side.
if it was gone
I’d miss the guy in the donut store around the corner
I don’t even like donuts but I go in because what happens to all those donuts at the end of the day, my mom once asked me.
I feel so sad for the man, she said, tearing.
I’d miss the lit up corner of the department store too big to go into,
the one that’ll be torn down
and that even though I never much went in
I’ll be sad to see gone
I’d miss the way each pocket of the city has its own note
and when you go there you see young couples pushing babies in strollers
or old men with missing teeth cracking jokes,
where your cab driver tells you the secrets of living a happy life
and what you need to do to keep a man
and what happened when somebody got into the back of his car with a gun
and forced him to drive outside the city, and how he,
the two of you leaning close together now,
how he’d crashed the car as a way to survive.
I’d miss the guy making shawarmas at 3am on Saturday night and how you have an entire conversation with just your eyes.
and the old woman in your building who always complains:
what’s wrong with the weather, how long it’s taking to get the elevator fixed,
how ridiculous it is they’d be doing construction on a Tuesday,
and even though she croaks like an animal you wish would just shoo away
you hear her voice and start to wonder who she’s lost,
why her hair’s always hidden under that scarf,
what she’s seen
or the man and his daughter at the Laundromat and he asks if you have any advice on writing a book
and you can’t tell if he’s serious, but then he tells you how long he’s lived here,
what it was like to leave his family in his country but how this is his country now
and his teeth look so white you think
as you put your darks and lights together in the same load because what difference does it make anyway
One time I found a street I’d never walked down before,
it parted the city like a forest.
I saw the museum and the university and the wall where in graffiti someone’s painted:
Embrace What You Are.
I walked, made a left, saw the shops, the ones that’ve been here since my grandparents were teenagers kissing,
I went to the CN tower like it was an x on a map that I could dig out of the ground.
I got to the dome where the blue jays live,
where the steam whistles brew,
where tourists take pictures in front of train tracks
as new couples pose in cold weather in their wedding dresses and suits
and I wandered around, paused on the bridge,
remembered coming here as a kid
and touching the base of the CN tower with my hand as if, I don’t know what I expected,
but as if it could give me some charge like lightning.
but nothing happened,
so like then once again I closed my eyes
and leaned back to the sun
When the party ends and it’s time to go home forever,
what do we want to feel?
what do we want to gaze behind us to see?
what colour should our fireworks be exploding in the distance like spurs?
in those moments when we wonder what the hell it’s all for
is there any meaning, any beauty
or is everything just people trying to sell us something
like the man on the street who handed me a pamphlet about a harp
and I nodded and hurried away
I don’t want to buy a harp,
but then when I looked at it closer I saw
that in faded letters in the corner was a poem he’d written
that stopped me in my tracks so that when I looked back
I didn’t see the shiny shops or spinning cars
but I only saw this man with a very long beard, holding his harp in his arms like a child.
What if a city is not just a place,
but a suggestion of what we place in our hearts?
A series of traces we might see ourselves through
how else might we wonder what else we could be
without first reinventing our own walls and roofs?
listen, lean in
to the space that we’re in
so we know where we are
and recall what we have to lose
this is what I try to remember when I walk along your paths
and underneath your bridges
and sit on your streetcar right by the window
so the breeze funnels through and makes me feel like I’m on a ship heading home
for just this summerI remember walking around with a friend at the end of an afternoon,
we wandered an east corridor, one we’d never been before.
We walked until we got to the top of a field with a bench
and we sat there
We watched the people playing baseball badly, laughing with friends that’d made t-shirts they could wear
so they could all be part of the same team before the sun gleaned into the shadows. We sat there eating fast-food takeout sandwiches as we looked at the city skyline from this other side
of where we came from,
We sat there
just us and the warm summer air
and I swear:
we had everything
we needed.


Canadian actor and performance poet Vanessa Smythe composed a 100-line love letter to Toronto. 100 wonderful OtM supporters commissioned each line. And 100 OtM artists performed the poem in a special location of their choosing. 100 Outside the March Artists Celebrate Toronto

Linear equations and Matrix

One reason for matrix notation is to provide a shorthand way of writing linear equations.

\(
\begin{align*}
\begin{cases}
3x+2y = 14 \\
5x+3y = 22
\end{cases}
\end{align*}
\)

\( \begin{bmatrix}
3 &2 \\
5 &3
\end{bmatrix}
\begin{bmatrix}
x \\
y
\end{bmatrix} =
\begin{bmatrix}
14 \\
22
\end{bmatrix} \)

\( AX=B \)

We have a linear map from \( \mathbf{\mathbb {R^2}} \) to \( \mathbf{\mathbb{R^2}} \) and we want to know which vectors x, if any, map to the vector b.

for 2×2 matrices \( A = \begin{bmatrix}a&b \\ c&d\end{bmatrix} \),

The determinant of the matrix \(\det A = ad - bc. \)

If the determinant is zero, the matrix is not invertible.

A matrix with determinant 0 is not invertible. The converse of this turns out to be true as well: a matrix with nonzero determinant is invertible. Thus the determinant gives us a way of finding out whether a matrix can be inverted. (The Princeton Companion to Mathematics - Part III Mathematical Concepts - III.15 Determinants)

\( A^{-1} = \frac {1}{\det A} \begin{bmatrix}
d &-b \\
-c &a
\end{bmatrix} \)

\( X = A^{-1}B \)

\(
X = \frac {1}{-1} \begin{bmatrix}3&-2 \\ -5&3\end{bmatrix}
\begin{bmatrix} 14 \\ 22 \end{bmatrix}
= \begin{bmatrix}-3&2 \\ 5&-3\end{bmatrix}
\begin{bmatrix} 14 \\ 22 \end{bmatrix}
= \begin{bmatrix} 2 \\ 4 \end{bmatrix}
\)

\(
\begin{align*}
\begin{cases}
x = 2 \\
y = 4
\end{cases}
\end{align*}
\)

Row reduction provides a method to compute the inverse of an invertible matrix.

\(
\displaystyle [A|I]=
\left[
{\begin{array}{cc|cc}
3 & 2 & 1 & 0 \\
5 & 3 & 0 & 1
\end{array}}
\right] \longrightarrow
\left[
{\begin{array}{cc|cc}
1 & \frac{2}{3} & \frac{1}{3} & 0 \\
5 & 3 & 0 & 1
\end{array}}
\right] \longrightarrow
\left[
{\begin{array}{cc|cc}
1 & \frac{2}{3} & \frac{1}{3} & 0 \\
0 & -\frac{1}{3} & -\frac{5}{3} & 1
\end{array}}
\right] \longrightarrow
\)
\(
\> \> \> \>
\left[
{\begin{array}{cc|cc}
1 & \frac{2}{3} & \frac{1}{3} & 0 \\
0 & 1 & 5 & -3
\end{array}}
\right] \longrightarrow
\left[
{\begin{array}{cc|cc}
1 & 0 & -3 & 2 \\
0 & 1 & 5 & -3
\end{array}}
\right]
= [I|A^{-1}]
\)


The path to mathematical superintelligence - Tudor Achim - TEDAI San Francisco 2025

Let’s take a look at this clay tablet. It might not look like much, but it’s actually some of the oldest mathematics we have. It’s a 4,000-year-old message in a bottle from ancient Babylon – a precursor to the quadratic equation. And for four millennia, people have been doing math basically the same way. Someone will have a brilliant idea, they’ll write it down, and their peers will discuss and check it. It’s a process built on creativity, communication and, most importantly, trust between people. And what might seem like a humble or simple process is anything but. It’s not just been successful. It’s been, as the physicist Eugene Wigner famously put it, unreasonably effective.

Wigner was pondering and trying to unravel a deep mystery. Why should the abstract, creative, and often bizarre ideas that spring from a mathematician’s imagination so often be the perfect language with which we understand the universe? Why should the strange laws of non-Euclidean geometry, which were originally conceived of as a thought experiment in the 19th century, turn out to be the exact mathematics that Einstein needed for general relativity? Why should the esoteric math of group theory, which was originally designed to study the abstract nature of symmetry, be fundamental to understanding everything from particle physics to the patterns in crystals? Well, there’s no logical reason it has to be this way. This strange connection between pure mathematical thought and the real world has actually been the invisible engine driving human progress.

Every piece of technology that defines our lives was ignited with a mathematical spark. If you take the device in your phone, its brain is based on the quantum mechanics of semiconductors. And that’s a theory built on linear algebra and complex numbers. The wireless signals that get data to it, they’re just a concrete manifestation of Maxwell’s equations. And finally, the security that protects your data online is based on number theory, which for a long time was truly considered the most pure and least applicable possible branch of mathematics. And now it safeguards trillions of dollars in the global economy.

And now we come to AI. Modern AI is not just built with math, it’s forged from it. A neural network is just a monumental structure of applied mathematics. And when AIs learn, they’re using the tools of calculus to navigate vast landscapes of possibilities with billions of dimensions. So AI is, in its soul, a mathematical idea that’s given life through computation.

So we agree that math is the foundation that modern civilization is based on. But that foundation is starting to show some signs of strain. The very process of human-led discovery that’s gotten us to this point is nearing a breaking point, buckling under the weight of its own success. And now AI, which is one of mathematics’ greatest creations, is accelerating us towards that breaking point faster than the world’s ready for. So let’s just look at some evidence.

Consider the Poincaré conjecture. This is a legendary problem. It’s a fundamental question about the nature of three-dimensional shapes originally posed in 1904. And for nearly a century, it stood as an unconquered Everest of mathematics. Until in 2002, a Russian mathematician working in isolation named Grigori Perelman posted a series of three short, cryptic papers online. He didn’t bother submitting them to a journal – he just put them on the internet and walked away. His fellow mathematicians had to stop what they were doing and try to decipher it. And several teams working independently of the best of colleges in the world, took the next four years to try to unpack the arguments, fill in the logical gaps and eventually, at the end, after they really reviewed it, declare that yes, he did it. He proved the Poincaré conjecture. But that’s interesting because it took one person to write a proof and a global, multi-year intellectual mobilization to check it. And that’s in the best case, when the proof is correct.

Consider Andrew Wiles’s proof of Fermat’s Last Theorem. With the electrifying announcement in 1993 in Cambridge, the world celebrated. But during the peer-review process, deep in it, a single thread was found out of place in that magnificent tapestry of a proof, and when we started to pull on it, the proof started to unravel. And this wasn’t a small mistake. Andrew Wiles and his collaborator Richard Taylor took two years of heroic, secret effort to try to fix it. And that effort included some insights that Andrew Wiles said were among the most important in his life. And that’s before we throw AI into the mix.

Two short years ago, AI could barely solve entry-level high school math-contest problems. They were very clever, but brittle. Now, in 2025, they can compete with the best of us at the International Math Olympiad, which is the premier precollege math competition. But the interesting bit is the following. The AI might work for four hours and produce a purported solution, which takes an expert human mathematician maybe up to an hour to check. And we all know the exponential trend that AI is on. So we can expect it’s not going to be one proof in an afternoon – it’s going to be a thousand pretty soon. And they’re not going to be attempts to solve math-contest problems. They’re going to be attacks on the most fundamental and important questions of the day, whether it’s the Riemann hypothesis, Navier-Stokes or P versus NP, just to pick a few. We simply don’t have the human bandwidth to review all these proofs. There’s only a couple thousand mathematicians that are qualified to do it, and they already have day jobs. And it’s not just a verification bottleneck. The very process by which we train these AIs is taking the data off the internet, which is from humans, post-training them with human feedback, and so we’re essentially baking in the cognitive biases and the flawed reasoning of humans into these future engines of discovery.

So the conclusion is in some sense obvious. Humans are becoming the bottleneck of verification for AI. And now the question is, where does that leave us? Is this the end of the road for reliable mathematical discovery? Are we resigned to drowning in a sea of unverified claims where we can’t really tell truth from fiction? And are we about to squander the opportunity for AI to revolutionize math? Well, the good news is no. But it does mean it’s time to upgrade the 4,000-year-old operating system of math, and move away from the imprecise and ambiguous nature of human language, and towards a language that computers can understand.

The solution is formal mathematics. But before I tell you how this futuristic idea works, we should first recognize that it has a deep and fascinating history dating back to the 17th century, where a mathematician actually laid out the road map with stunning foresight. Four hundred years ago, in a Europe torn by religious and political conflict, a polymath named Gottfried Wilhelm Leibniz had a vision of breathtaking ambition. He was a contemporary of Newton and a cocreator of calculus, but his dreams went far beyond that. He dreamed of something called a universal characteristic, which was a system for perfectly encoding all scientific and philosophical thought. And the system had three parts. First, you need a perfect logical language. Second, you need a grand encyclopedia written in language that contains all verified human thought. And third, and this is the masterstroke, you need a so-called engine of reason, a system of mechanical rules by which you can automatically derive new facts from that library as surely as a calculator performs arithmetic.

Now, Leibniz thought this would revolutionize humanity. With a system like this, if two people had an intellectual conflict, they would resort to logic and not rhetoric to resolve it. They would simply sit down, say “calculemus” – “let us calculate,” and get to the bottom of it. In some sense, it was meant to be a universal calculator for truth. Now, Leibniz was a bit of an optimist. He thought this would take a small group of people five years to build, and he was off by several centuries. But what I think is really remarkable is that in 2025, truly for the first time in history, it’s actually possible to realize this philosopher’s dream.

So what do we need? Well, we need a perfect, logical language. Turns out we’ve got it. It’s called Lean. Lean is a programming language, but it’s also what’s known as a proof assistant. You can think of it as a programming environment for mathematical proofs, where it doesn’t just give you feedback if you have a syntax error here or there – it’s actually looking at the core of the mathematical argument and telling you if you have any problems anywhere in it. Great.

What’s the second thing we need? We need the grand encyclopedia. Well, the good news is we’ve got that too. It’s called Mathlib. Mathlib is an open-source project. It’s about two million lines of code in Lean, and it covers a lot of the undergraduate and graduate math curriculum. You can think of it like a Wikipedia for proven truth, where every edit is computationally certified for correctness.

OK, we’ve got the language, we’ve got the encyclopedia, what about the engine of reason? Well, we could try to have humans do it, but you’ve got to write a lot of Lean code and the level of robotic precision you need to write a formal proof is not something that human creativity is so well suited for. And that’s how we’ve come full-circle. It turns out that AI is the key to making this whole thing work.

In the future, AI is not just going to be writing math papers in English for humans to read. They’re going to be writing math proofs in Lean for computers to check. And that is the fundamental key that makes it possible to use Leibniz’s vision to unlock the full potential of AI in mathematics. Because when a math AI spits out a proof in Lean of, let’s say, the Riemann hypothesis, we’re not going to need humans to go through every single line of the proof in painstaking detail, check every single case, and understand the possibly strange and alien logic of the proof just to see if it’s correct. Instead, all we’re going to do is we’re going to take those files, we’re going to give them to a Lean compiler, and if it builds, we can know with absolute certainty it’s correct. And this is what fundamentally alters our relationship with AI.

AI can now become a true collaborator, one whose word we don’t have to take on blind faith. We get to trade in the tedium of checking for the creative joy of discovery. Humans get to use our intuition and judgment, we ask the questions, we chart the course, we propose the brilliant conjectures and then we delegate to AI to explore the vast oceans of logic, to find the correct answer, and then a computer confirms that we’ve gotten to the destination. And the amazing thing is that this isn’t just some far-off science-fiction dream. It turns out that at this year’s International Math Olympiad, automated systems were able to find solutions to five of the six problems in a way that computers could check and require no human review whatsoever. And that’s enough to get a gold-medal-level performance. So the transition is already happening.

So are humans going to be the bottleneck for math research? Well, the answer is yes, but only if we refuse to change. Only if we insist on being the only thinkers and the only checkers. But if we’re able to realize this 400-year-old vision, we’re not going to replace ourselves, we’re going to elevate ourselves. We’re going to put ourselves in the driver’s seat as the explorers, the architects and the question askers. And that means that formal mathematics is the key to this new era of discovery, based on the powerful and essential partnership between human imagination and mathematical superintelligence.

Thank you.


arXiv papers

Induced subgraphs of hypercubes and a proof of the Sensitivity Conjecture

Hao Huang

https://arxiv.org/abs/1907.00847

In this paper, we show that every \( (2^{n-1}+1) \)-vertex induced subgraph of the n-dimensional cube graph has maximum degree at least \( \sqrt{n} \). This result is best possible, and improves a logarithmic lower bound shown by Chung, Füredi, Graham and Seymour in 1988. As a direct consequence, we prove that the sensitivity and degree of a boolean function are polynomially related, solving an outstanding foundational problem in theoretical computer science, the Sensitivity Conjecture of Nisan and Szegedy.


Stable nearly self-similar blowup of the 2D Boussinesq and 3D Euler equations with smooth data I: Analysis

Jiajie Chen, Thomas Y. Hou


Computer Proof ‘Blows Up’ Centuries-Old Fluid Equations

Rotating needles in space: the road to the Kakeya conjecture, and why it matters

Terence Tao

A non-technical exposition of the Kakeya conjecture, why it matters, and the road to the solution of this conjecture in three dimensions by Hong Wang and Joshua Zahl.

https://arxiv.org/abs/2608.22209


Rotating needles in space: the road to the Kakeya conjecture, and why it matters

Supercritical sharpness of percolation

Sahar Diskin, Philip Easo, Ritvik Ramanan Radhakrishnan, Benny Sudakov, Vincent Tassion

We prove that for supercritical percolation on every infinite transitive graph, the probability that the origin belongs to a finite cluster of size at least n decays exponentially in \( \Phi(n) \), where \( \Phi \) is the isoperimetric function of the graph.


‘Stunning’ Percolation Proof Solves Decades-Old Puzzle About Phase Transitions

Distinctive Style of Mathematical Papers

Mathematical Statements

The object of a typical paper is to establish mathematical statements. mathematical statements are the main currency of mathematics.

A conjecture is a mathematical statement that the author firmly believes but cannot prove.

A mathematical statement is established by means of a proof.

Theorems

The most important of these statements are usually called theorems.

The statements that are the main goals of a paper are usually called theorems.

A theorem is a statement that you regard as intrinsically interesting, a statement that you might think of isolating from the paper and telling other mathematicians about in a seminar, for instance. The statements that are the main goals of a paper are usually called theorems.

The main aim of an article in mathematics is usually to prove theorems.

Propositions

A proposition is a bit like a theorem, but it tends to be slightly “boring.”

Lemmas

Lemma 1.1.15 Let A be a square matrix that has a right inverse, a matrix R such that AR = I and also a left inverse, a matrix L such that LA = I. Then R = L. So A is invertible and R is its inverse.

Proof R = IR = (LA)R = L(AR) = LI= L.

– Chapter 1 Matrices, Algebra, by Michael Artin

Often, if you are trying to prove a theorem, the proof becomes long and complicated, in which case if you want anybody to read it you need to make the structure of the argument as clear as possible. One of the best ways of doing this is to identify subgoals, which take the form of statements intermediate between your initial assumptions and the conclusion you wish to draw from them. These statements are usually called lemmas.

One can draw a parallel with computer programming: if you are writing a complicated program, it is good practice to divide your main task into subtasks and write separate mini-programs for them, which you can then treat as “black boxes,” to be called upon by other parts of the program whenever they are useful.

Some lemmas are difficult to prove and are useful in many different contexts, so the most important lemmas can be more important than the least important theorems. However, a general rule is that a result will be called a lemma if the main reason for proving it is in order to use it as a stepping stone toward the proofs of other results.

Corollaries

A corollary of a mathematical statement is another statement that follows easily from it. Sometimes the main theorem of a paper is followed by several corollaries, which advertise the strength of the theorem.

Fermat’s little theorem, which states that if p is a prime and \( a \not \equiv 0 \hspace{2mm} (mod \hspace{1mm} p) \), then \( a^{p-1} \equiv 1 \hspace{2mm} (mod \hspace{1mm} p) \).

Euler’s theorem states that if m is a positive integer and a is another positive integer that is coprime to m(this means that a and m have no common factor), then \( a^{\phi(m)} \equiv 1 \hspace{2mm} (mod \hspace{1mm} m) \). Here \( \phi \) is Euler’s totient function: \( \phi(m) \) is the number of integers less than m that are coprime to m.

Fermat’s little theorem is a corollary of Euler’s theorem. Euler’s theorem is a generalization of Fermat’s little theorem to composite moduli.

Lagrange’s theorem, which states that the size of a group is always divisible by the size of any of its subgroups.

Fermat’s little theorem is also a corollary of Lagrange’s theorem.

Here is the argument in outline. The first step is to show that the numbers 1, 2, . . . , p−1 form a group under multiplication mod p. (This means multiplication followed by taking the remainder on division by p. For example, if p = 7 then the “product” of 3 and 6 is 4, since 4 is the remainder when you divide 18 by 7.) The next step is to note that if \( 1 \leq a \leq p−1 \) then the powers of a (mod p) form a subgroup of this group. Moreover, the size of the subgroup is the smallest positive integer m such that \( a^m \) is congruent to 1 mod p. One then applies Lagrange’s theorem, which states that the size of a group is always divisible by the size of any of its subgroups. In this case, the size of the group is p − 1, from which it follows that p − 1 is divisible by m. But then, since \( a^m = 1 \), it follows that \( a^{p−1} = 1 \).
This argument shows that Fermat’s little theorem is, when viewed appropriately, just one special case of Lagrange’s theorem. (The word “just” is, however, a little misleading, because it is not wholly obvious that the integers mod p form a group in the way stated. This fact is proved using Euclid’s algorithm.) - (The Princeton Companion to Mathematics - Part I Introduction - I.4 The General Goals of Mathematical Research - 3 Generalizing - 3.2 Proving a More Abstract Result)

Definitions

Another very important component of mathematical papers is definitions.

Some mathematicians will tell you that the main aim of their research is to find the right definition, after which their whole area will be illuminated. Yes, they will have to write proofs, but if the definition is the one they are looking for, then these proofs will be fairly straightforward.


My English Phrases List - August - 2026

on the money

The apparent breathtaking strength of the approximation li(x) to π(x) is uncanny. As you can plainly see, Gauss’s guess is right on the money! - Carl Pomerance

His prediction that it would rain was right on the money.

live paycheck to paycheck

About a quarter of Americans today live paycheck to paycheck, spending more than 95% of their income on necessities. — The Week Us, TheWeek, 9 Mar. 2026

you can say that again

“She’s in a bad mood.” “You can say that again.”

you can’t teach an old dog new tricks

I tried to get my mother to start using a computer, but she says you can’t teach an old dog new tricks.

the good old days

In the 1960s, everything seemed possible. Those were the good old days.

don’t mention it

“Thanks for your help.” “Oh, don’t mention it. I was happy to do it.”

speak/talk of the devil

“Well, speak of the devil! We were just talking about you!”

be/become one’s own man

He left home and moved to the city to become his own man.

kick the bucket

He had things he wanted to accomplish before he kicked the bucket.

kicks upstairs

After years of hard work she was kicked upstairs to an executive role.

do (one’s) grocery shopping

But people are still venturing out to do grocery shopping and to visit parks. — BostonGlobe.com, 28 Apr. 2021

no worries

“What if we miss the bus?” “No worries, there’s another one in seven minutes.”

no wonder

(It’s) No wonder you’re hungry; you didn’t have any breakfast.

hard to take

He’s a little hard to take sometimes.

on the right/wrong track

Although their research is far from complete, the scientists are convinced that they are on the right track.

on the right side of (an age)

She’s still on the right side of 40.

on the right/wrong side of (someone)

If you get on the wrong side of him he can be very mean.

My English Words List - August - 2026

revolving door

noun

Diagram of a revolving door, viewed from above

Revolving door

such and such

adjective

people from such and such areas

pronoun

If you earn such and such per year, then….

paycheck

paycheck

noun

I went to the office to pick up my paycheck.

Your weekly paycheck will be almost $600 after taxes.

crypto

crypto

noun

I say Bitcoin, crypto, is a massive bubble. - Is the AI bubble about to burst?

cryptocurrency

cryptocurrency

noun

Nvidia has evolved from graphics to gaming, scientific computing, cryptocurrency, and now AI infrastructure. — Dileep Rao, Forbes.com, 21 July 2026

long weekend

noun

We took Friday off and went to the coast for a long weekend.

bucket list

noun

Seeing the northern lights dance across the sky is a bucket list event for many. — Shelby Slade, The Arizona Republic, 20 May 2024

haul

haul

verb

haul a wagon

trucks hauling freight

The company has a fleet of trucks that are used to haul freight.

noun

White Glove, Haul Away.

fantasy

fantasy

noun

He can hardly tell the difference between fantasy and reality.

nope

nope

adverb

“Have you finished the book yet?” “Nope.”

vague

vague

adjective

a vague promise

a vague answer

vague figures in the mist

obsolete

obsolete

adjective

an obsolete theory

an obsolete technology

savant

savant

noun

Raymond is an autistic savant in the film Rain Man.

autism spectrum disorder

noun

Autism spectrum disorder includes conditions previously called autism, pervasive developmental disorder and Asperger’s syndrome. … Because of the range of symptoms, this condition is now called autism spectrum disorder (ASD). — Jody Holton

underpin

underpin

verb

a wall underpinned by metal beams

the central beliefs that underpin a free society

underpin a sagging building

The theory of vector spaces and linear maps underpins a large part of mathematics.

Mediterranean diet

noun

For a longer and better life, consider the Mediterranean diet. — Bethany Thayer, Detroit Free Press, 17 Feb. 2024

rind

rind

noun

the rind of a watermelon

the rind of a cheese

husk

husk

noun

coconut husk

corn husk

verb

the tedious task of husking coconuts

Corn being husked in the yard of a Dungan farmer in Kyrgyzstan

coating

noun

The frying pan has a non-stick teflon coating.

The fabric has a coating that prevents liquids from soaking through.