ArticleslgStudy

mathematics

Julian Sahasrabudhe

Julian Sahasrabudhe is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Julian Sahasrabudhe rather than just read about it. In short: Julian Sahasrabudhe (born May 8, 1988) is a Canadian mathematician who is an assistant professor of mathematics at the University of Cambridge, in their Department of Pure Mathematics and Mathematical Statistics. His research interests are in extremal and probabilistic combinatorics, Ramsey theory, random polynomials and matrices, and combinatorial number theory.

Julian Sahasrabudhe — main illustration
Julian Sahasrabudhe — illustration

Key takeaways

  • Julian Sahasrabudhe belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Julian Sahasrabudhe to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Julian Sahasrabudhe from memory before moving on to harder problems.

Reference excerpt

Julian Sahasrabudhe (born May 8, 1988) is a Canadian mathematician who is an assistant professor of mathematics at the University of Cambridge, in their Department of Pure Mathematics and Mathematical Statistics. His research interests are in extremal and probabilistic combinatorics, Ramsey theory, random polynomials and matrices, and combinatorial number theory.

Life and education Sahasrabudhe grew up on Bowen Island, British Columbia, Canada. He studied music at Capilano College and later moved to study at Simon Fraser University where he completed his undergraduate degree in mathematics. After graduating in 2012, Julian received his Ph.D. in 2017 under the supervision of Béla Bollobás at the University of Memphis. Following his Ph.D., Sahasrabudhe was a Junior Research Fellow at Peterhouse, Cambridge from 2017 to 2021. He currently holds a position as an assistant professor in the Department of Pure Mathematics and Mathematical Statistics (DPMMS) at the University of Cambridge.

Career and research Sahasrabudhe's work covers many topics such as Littlewood problems on polynomials, probability and geometry of polynomials, arithmetic Ramsey theory, Erdős covering systems, random matrices and polynomials, etc. In one of his more recent works in Ramsey theory, he published a paper on Exponential Patterns in Arithmetic Ramsey Theory in 2018 by building on an observation made by Alessandro Sisto in 2011. He proved that for every finite colouring of the natural numbers there exists a , b > 1 {\displaystyle a,b>1} such that the triple a , b , a b {\displaystyle a,b,a^{b}} is monochromatic, demonstrating the partition regularity of complex exponential patterns. This work marks a crucial development in understanding the structure of numbers under partitioning. In 2023, Sahasrabudhe submitted a paper titled An exponential improvement for diagonal Ramsey along with Marcelo Campos, Simon Griffiths, and Robert Morris. In this paper, they proved that the Ramsey number

This is the first exponential improvement over the upper bound of Erdős and Szekeres, proved in 1935. Sahasrabudhe has also worked with Marcelo Campos, Matthew Jenssen, and Marcus Michelen on random matrix theory with the paper The singularity probability of a random symmetric matrix is exponentially small. The paper addresses a long-standing conjecture concerning symmetric matrix with entries in { − 1 , 1 } {\displaystyle \{-1,1\}} . They proved that the probability of such a matrix being singular is exponentially small. The research quantifies this probability as P ( det ( A ) = 0 ) ≤ e − c n {\displaystyle \mathbb {P} (\det(A)=0)\leq e^{-cn}} where A {\displaystyle A} is drawn uniformly at random from the set of all n × n {\displaystyle n\times n} symmetric matrices and c {\displaystyle c} is an absolute constant. In 2020, Sahasrabudhe published a paper named Flat Littlewood Polynomial exists, which he co-authored with Paul Ballister, Bela Bollobás, Robert Morris, and Marius Tiba. This work confirms the Littlewood conjecture by demonstrating the existence of Littlewood polynomials with coefficients of ± 1 {\displaystyle \pm 1} that are flat, meaning their magnitudes remain bounded within a specific range on the complex unit circle. This achievement not only validates a hypothesis made by Littlewood in 1966 but also contributes significantly to the field of mathematics, particularly in combinatorics and polynomial analysis. In 2022, the authors worked on Erdős covering systems with the paper On the Erdős Covering Problem: The Density of the Uncovered Set. They confirmed and provided a stronger proof of a conjecture proposed by Micheal Filaseta, Kevin Ford, Sergei Konyagin, Carl Pomerance, and Gang Yu, which states that for distinct moduli within the interval [ n , C n ] {\displaystyle [n,Cn]} , the density of uncovered integers is bounded below by a constant. Furthermore, the authors establish a condition on the moduli that provides an optimal lower bound for the density of the uncovered set.

Awards and honours In August 2021, Julian Sahasrabudhe was awarded the European Prize in Combinatorics for his contribution to applying combinatorial methods to problems in harmonic analysis, combinatorial number theory, Ramsey theory, and probability theory. In particular, Sahasrabudhe proved theorems on the Littlewood problems, on geometry of polynomials (Pemantle's conjecture), and on problems of Erdős, Schinzel, and Selfridge. In October 2023, Julian Sahasrabudhe was awarded with the Salem Prize for his contribution to harmonic analysis, probability theory, and combinatorics. More specifically, Sahasrabudhe improved the bound on the singularity probability of random symmetric matrices and obtained a new upper bound for diagonal Ramsey numbers. Sahasrabudhe is a 2024 recipient of the Whitehead Prize, given "for his outstanding contributions to Ramsey theory, his solutions to famous problems in complex analysis and random matrix theory, and his remarkable progress on sphere packings".

Personal life Sahasrabudhe's parents are television producers Deepak Sahasrabudhe and Susan Miller. His grandfather, Madhu Sahasrabudhe, was the acting director of the Food Research Institute of Agriculture and Agri-Food Canada.

Publications

… excerpt ends here. Continue reading the full article.

Illustrations

Julian Sahasrabudhe illustration

Worked examples

Example 1 — a first encounter with Julian Sahasrabudhe

Start with the simplest possible case. Write down what Julian Sahasrabudhe claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Julian Sahasrabudhe before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Julian Sahasrabudhe ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Julian Sahasrabudhe

In research
Julian Sahasrabudhe appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Julian Sahasrabudhe in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Julian Sahasrabudhe is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1988 births, 21st-century Canadian mathematicians, Cambridge mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Julian Sahasrabudhe outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Julian Sahasrabudhe” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Julian Sahasrabudhe in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Julian Sahasrabudhe means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Julian Sahasrabudhe out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Julian Sahasrabudhe in simple terms?

Julian Sahasrabudhe (born May 8, 1988) is a Canadian mathematician who is an assistant professor of mathematics at the University of Cambridge, in their Department of Pure Mathematics and Mathematical Statistics. His research interests are in extremal and probabilistic combinatorics, Ramsey theory…

Why does Julian Sahasrabudhe matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Julian Sahasrabudhe?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Julian Sahasrabudhe.

Tags

  • 1988 births
  • 21st-century Canadian mathematicians
  • Cambridge mathematicians
  • Combinatorialists
  • Living people
  • People from Greater Vancouver
  • Simon Fraser University alumni
  • University of Memphis alumni

Keep exploring