On the functional Minkowski problem

Abstract To every log-concave function f one may associate a pair of measures $$(\mu _{f},\nu _{f})$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>μ</mml:mi> <mml:mi>f</mml:mi> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>ν</mml:mi> <mml:mi>f</mml:mi> </mml:msub> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> which are the surface area measures of f . These are a functional extension of the classical surface area measure of a convex body, and measure how the integral $$\int f$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>∫</mml:mo> <mml:mi>f</mml:mi> </mml:mrow> </mml:math> changes under perturbations. The functional Minkowski problem then asks which pairs of measures can be obtained as the surface area measures of a log-concave function. In this work, we fully solve this problem. Furthermore, we prove that the surface area measures are continuous with respect to a suitable topology: If $$f_{k}\rightarrow f$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> <mml:mo>→</mml:mo> <mml:mi>f</mml:mi> </mml:mrow> </mml:math> , then $$\left( \mu _{f_{k}},\nu _{f_{k}}\right) \rightarrow \left( \mu _{f},\nu _{f}\right) $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mfenced> <mml:msub> <mml:mi>μ</mml:mi> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>ν</mml:mi> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> </mml:msub> </mml:mfenced> <mml:mo>→</mml:mo> <mml:mfenced> <mml:msub> <mml:mi>μ</mml:mi> <mml:mi>f</mml:mi> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>ν</mml:mi> <mml:mi>f</mml:mi> </mml:msub> </mml:mfenced> </mml:mrow> </mml:math> in a corresponding sense. Finding the appropriate mode of convergence of the pairs $$\left( \mu _{f_{k}},\nu _{f_{k}}\right) $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mfenced> <mml:msub> <mml:mi>μ</mml:mi> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>ν</mml:mi> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> </mml:msub> </mml:mfenced> </mml:math> sheds a new light on the construction of functional surface area measures. To prove this continuity theorem we associate to every convex function a new type of radial function, which seems to be an interesting construction on its own right. Finally, we prove that the solution to the functional Minkowski problem is continuous in the data, in the sense that if $$\left( \mu _{f_{k}},\nu _{f_{k}}\right) \rightarrow \left( \mu _{f},\nu _{f}\right) $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mfenced> <mml:msub> <mml:mi>μ</mml:mi> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>ν</mml:mi> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> </mml:msub> </mml:mfenced> <mml:mo>→</mml:mo> <mml:mfenced> <mml:msub> <mml:mi>μ</mml:mi> <mml:mi>f</mml:mi> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>ν</mml:mi> <mml:mi>f</mml:mi> </mml:msub> </mml:mfenced> </mml:mrow> </mml:math> then $$f_{k}\rightarrow f$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> <mml:mo>→</mml:mo> <mml:mi>f</mml:mi> </mml:mrow> </mml:math> up to translations.

Authors

Publication Details

Journal
Calculus of Variations and Partial Differential Equations
Published
2026-02-17
DOI
https://doi.org/10.1007/s00526-026-03253-0
Primary Topic
Point processes and geometric inequalities
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the functional Minkowski problem

Tomer Falah, Liran Rotem
Calculus of Variations and Partial Differential Equations
Point processes and geometric inequalities
article

On the functional Minkowski problem

Tomer Falah, Liran Rotem
article en

Abstract

Abstract To every log-concave function f one may associate a pair of measures $$(\mu _{f},\nu _{f})$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>μ</mml:mi> <mml:mi>f</mml:mi> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>ν</mml:mi> <mml:mi>f</mml:mi> </mml:msub> <mml:mo>)</mml:mo> </mml:mrow> </mml:math> which are the surface area measures of f . These are a functional extension of the classical surface area measure of a convex body, and measure how the integral $$\int f$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mo>∫</mml:mo> <mml:mi>f</mml:mi> </mml:mrow> </mml:math> changes under perturbations. The functional Minkowski problem then asks which pairs of measures can be obtained as the surface area measures of a log-concave function. In this work, we fully solve this problem. Furthermore, we prove that the surface area measures are continuous with respect to a suitable topology: If $$f_{k}\rightarrow f$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> <mml:mo>→</mml:mo> <mml:mi>f</mml:mi> </mml:mrow> </mml:math> , then $$\left( \mu _{f_{k}},\nu _{f_{k}}\right) \rightarrow \left( \mu _{f},\nu _{f}\right) $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mfenced> <mml:msub> <mml:mi>μ</mml:mi> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>ν</mml:mi> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> </mml:msub> </mml:mfenced> <mml:mo>→</mml:mo> <mml:mfenced> <mml:msub> <mml:mi>μ</mml:mi> <mml:mi>f</mml:mi> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>ν</mml:mi> <mml:mi>f</mml:mi> </mml:msub> </mml:mfenced> </mml:mrow> </mml:math> in a corresponding sense. Finding the appropriate mode of convergence of the pairs $$\left( \mu _{f_{k}},\nu _{f_{k}}\right) $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mfenced> <mml:msub> <mml:mi>μ</mml:mi> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>ν</mml:mi> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> </mml:msub> </mml:mfenced> </mml:math> sheds a new light on the construction of functional surface area measures. To prove this continuity theorem we associate to every convex function a new type of radial function, which seems to be an interesting construction on its own right. Finally, we prove that the solution to the functional Minkowski problem is continuous in the data, in the sense that if $$\left( \mu _{f_{k}},\nu _{f_{k}}\right) \rightarrow \left( \mu _{f},\nu _{f}\right) $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mfenced> <mml:msub> <mml:mi>μ</mml:mi> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>ν</mml:mi> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> </mml:msub> </mml:mfenced> <mml:mo>→</mml:mo> <mml:mfenced> <mml:msub> <mml:mi>μ</mml:mi> <mml:mi>f</mml:mi> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>ν</mml:mi> <mml:mi>f</mml:mi> </mml:msub> </mml:mfenced> </mml:mrow> </mml:math> then $$f_{k}\rightarrow f$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>f</mml:mi> <mml:mi>k</mml:mi> </mml:msub> <mml:mo>→</mml:mo> <mml:mi>f</mml:mi> </mml:mrow> </mml:math> up to translations.

Calculus of Variations and Partial Differential EquationsVol. 65(3)
Openalex Percentile: Top 49%
Point processes and geometric inequalities
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.