We derive sparse bounds for the bilinear spherical maximal function in any dimension d ≥ 2. This immediately recovers the sharp L p × L q → L r bound of the operator and implies quantitative weighted norm inequalities with respect to bilinear Muckenhoupt weights, which seems to be the first of their kind for the operator. The key innovation is a group of newly developed continuity L p improving estimates for the localized version of the bilinear spherical maximal function.

We derive sparse bounds for the bilinear spherical maximal function in any dimension d⩾1$d\geqslant 1$. When d⩾2$d\geqslant 2$, this immediately recovers the sharp Lp×Lq→Lr$L^p\times L^q\rightarrow L^r$ bound of the operator and implies quantitative weighted norm inequalities with respect to bilinear Muckenhoupt weights, which seems to be the first of their kind for the operator. The key innovation is a group of newly developed continuity Lp$L^p$ improving estimates for the single‐scale bilinear spherical averaging operator.

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