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At the Modern Trends in Fourier Analysis conference held at the Centre de Recerca Matemàtica, mathematician Hong Wang (NYU Courant) presented a new approach to the Stein restriction conjecture, connecting it with geometric incidence problems involving tubes. Her talk followed a major recent breakthrough: the proof, with Joshua Zahl, of the three-dimensional Kakeya conjecture, one of the most famous open problems in geometric measure theory. Wang’s work reflects a broader shift in harmonic analysis, combining deep geometric insight with powerful analytic tools.

The Modern Trends in Fourier Analysis conference, held this June at the Centre de Recerca Matemàtica (CRM), gathered over a hundred researchers from around the world to explore advances in harmonic analysis. Among the invited speakers was Hong Wang, associate professor at NYU’s Courant Institute of Mathematical Sciences, who presented a lecture outlining a new geometric approach to the longstanding Stein restriction conjecture. Her talk followed closely on the heels of a landmark achievement: Wang’s recent resolution, with Joshua Zahl, of the celebrated three-dimensional Kakeya conjecture, one of the most challenging open problems in the field.

In her talk, Wang presented joint work with mathematician Shukun Wu, focused on a novel geometric method to approach the restriction problem. At its core is a deceptively simple conjecture: if a function has its Fourier transform supported on the unit sphere in \mathbb{R}^d, then its L^p-norm should be controlled by the L^p-norm of its Fourier transform, for p > \frac{2d}{d - 1}. This conjecture has guided decades of research in Fourier analysis.

Rather than attacking it directly, Wang and Wu propose to study it through a geometric lens: they formulate a conjecture about how many times thin tubes in space can intersect. “It’s a purely geometric question about incidences,” Wang explained. “And if the conjecture holds, it implies Stein’s.” They prove the two-dimensional case and obtain new restriction estimates in three dimensions for p > 3 + \frac{1}{7}, which in turn lead to a known bound in the Kakeya problem known as Wolff’s hairbrush estimate.

 

Solving Kakeya in 3D

This link between restriction and Kakeya is not incidental. Wang is one of the two authors, alongside Joshua Zahl (University of British Columbia), behind the 2025 proof of the three-dimensional Kakeya conjecture, a milestone that had eluded mathematicians for over fifty years.

The conjecture, inspired by a question posed by Japanese mathematician Sōichi Kakeya in 1917, asks whether a needle (or line segment) that turns in every direction can sweep out an arbitrarily small volume. Wang and Zahl proved that in three-dimensional space, any such Kakeya set must have Hausdorff and Minkowski dimension exactly 3. That is: it may be thin, but it cannot be small.

Their proof follows a layered strategy: first solving the problem for a specific class of objects called “sticky sets,” then extending the result to more general cases. A key insight came from a concept that transformed Wang’s approach: “You can find fractal structure in any set if you look at the right scales,” she explained. This idea, originally developed by Katz and Zahl, helped her rethink how to extract order from apparent geometric chaos.

More than just technique

Wang’s interest in the restriction problem began over a decade ago. “I got interested in Stein’s restriction conjecture when I read a paper by Luis Vega (BCAM), actually ,” she recalled. That early exposure laid the foundation for her current line of research, which combines deep harmonic analysis with geometric insight.

“It’s a long journey,” she said. “Sometimes you work for years and don’t solve the problem. But the tools, the intuition, what you build along the way, it all ends up useful.” She also spoke of the difficulty of knowing when to persevere or walk away: “You have to be honest with yourself. Not too optimistic, not too pessimistic. That process, I think, is very rewarding.”

Her work is deeply tied to real geometry, not just in theory but in essence: “If you move the problem to complex space, the statement becomes false. You need tools that really distinguish real from complex. Many standard techniques don’t.”

Conferences, community, and collaboration

Beyond the mathematics itself, Wang highlighted the value of gatherings like the CRM conference. “You get a sense of what’s happening in the field, have spontaneous conversations, meet potential collaborators; that’s a fundamental part of doing mathematics,” she said.

With her recent contributions, Wang has made a significant impact on harmonic analysis and geometric measure theory. Her work combines technical depth with a clear geometric intuition, offering new tools and perspectives for longstanding problems. As Nets Katz remarked, the solution to the Kakeya conjecture marks a once-in-a-century achievement, one in which Wang has played a central role.

You can watch the full interview on the CRM YouTube channel.

 

Hong Wang is an associate professor of mathematics at the Courant Institute of Mathematical Sciences (NYU), where she works at the interface of Fourier analysis, geometric measure theory, and incidence geometry. She completed her PhD in 2019 at MIT under the supervision of Larry Guth, and went on to hold positions at the Institute for Advanced Study (2019–2021) and UCLA (2021–2023). Wang’s research explores what can be said about a function when its Fourier transform is constrained to lie on curved sets—such as spheres or discrete, curved configurations—and how to meaningfully decompose such functions, a question closely tied to decoupling theory. Her work often connects seemingly distant areas, from the Falconer distance problem to the geometry of tube incidences, revealing deep structures beneath analytic phenomena.

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