Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 81 tok/s
Gemini 2.5 Pro 44 tok/s Pro
GPT-5 Medium 22 tok/s Pro
GPT-5 High 25 tok/s Pro
GPT-4o 81 tok/s Pro
Kimi K2 172 tok/s Pro
GPT OSS 120B 434 tok/s Pro
Claude Sonnet 4 37 tok/s Pro
2000 character limit reached

Incidences with curves in R^d (1512.08267v1)

Published 27 Dec 2015 in math.CO

Abstract: We prove that the number of incidences between $m$ points and $n$ bounded-degree curves with $k$ degrees of freedom in ${\mathbb R}d$ is [ I(m,n) =O\left(m{\frac{k}{dk-d+1}+\varepsilon}n{\frac{dk-d}{dk-d+1}}+ \sum_{j=2}{d-1} m{\frac{k}{jk-j+1}+\varepsilon}n{\frac{d(j-1)(k-1)}{(d-1)(jk-j+1)}}q_j{\frac{(d-j)(k-1)}{(d-1)(jk-j+1)}}+m+n\right), ] for any $\varepsilon>0$, where the constant of proportionality depends on $k, \varepsilon$ and $d$, provided that no $j$-dimensional surface of degree $\le c_j(k,d,\varepsilon)$, a constant parameter depending on $k$, $d$, $j$, and $\varepsilon$, contains more than $q_j$ input curves, and that the $q_j$'s satisfy certain mild conditions. This bound generalizes a recent result of Sharir and Solomon concerning point-line incidences in four dimensions (where $d=4$ and $k=2$), and partly generalizes a recent result of Guth (as well as the earlier bound of Guth and Katz) in three dimensions (Guth's three-dimensional bound has a better dependency on $q_2$). It also improves a recent $d$-dimensional general incidence bound by Fox, Pach, Sheffer, Suk, and Zahl, in the special case of incidences with algebraic curves. Our results are also related to recent works by Dvir and Gopi and by Hablicsek and Scherr concerning rich lines in high-dimensional spaces.

Summary

We haven't generated a summary for this paper yet.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube