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Radial Projections in $\mathbb{R}^n$ Revisited

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arxiv 2406.09707 v1 pith:SWRPTCZJ submitted 2024-06-14 math.CA math.COmath.MG

classification math.CAmath.COmath.MG
keywords estimatefirstmathbbmethodsprojectionsradialresultsabove
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abstract

We generalize the recent results on radial projections by Orponen, Shmerkin, Wang using two different methods. In particular, we show that given $X,Y\subset \mathbb{R}^n$ Borel sets and $X\neq \emptyset$. If $\dim Y \in (k,k+1]$ for some $k\in \{1,\dots, n-1\}$, then \[ \sup_{x\in X} \dim \pi_x(Y\setminus \{x\}) \geq \min \{\dim X + \dim Y - k, k\}. \] Our results give a new approach to solving a conjecture of Lund-Pham-Thu in all dimensions and for all ranges of $\dim Y$. The first of our two methods for proving the above theorem is shorter, utilizing a result of the first author and Gan. Our second method, though longer, follows the original methodology of Orponen--Shmerkin--Wang, and requires a higher dimensional incidence estimate and a dual Furstenberg-set estimate for lines. These new estimates may be of independent interest.

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  1. Pinned Dot Product Set Estimates

    math.CA 2024-12 conditional novelty 7.0 of 10

    Pinned dot product sets are large when the underlying set has Hausdorff dimension above n/2 with spread translations, or above (n+1)/2 for any translation, proven by reducing dot products to orthogonal projections.

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