Heisenberg Uncertainty Principle on half spaces and Orthants: Best constants, Optimizers and Stability

Fuente: arXiv
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Autori principali: Lam, Nguyen, Lodha, Yukta, Lu, Guozhen, Sengupta, Ambar N.
Natura: Preprint
Pubblicazione: 2026
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author Lam, Nguyen
Lodha, Yukta
Lu, Guozhen
Sengupta, Ambar N.
author_facet Lam, Nguyen
Lodha, Yukta
Lu, Guozhen
Sengupta, Ambar N.
contents Though the sharp Heisenberg Uncertainty Principle has been extensively studied in the entire Euclidean spaces, the counterpart on the half spaces or more general orthants has been missing in the literature. We investigate the sharp Heisenberg Uncertainty Principle on orthants by computing explicitly the optimal constant and determining all possible extremal functions. Moreover, we establish several stability estimates of the Heisenberg Uncertainty Principle on the half spaces and orthants.
format Preprint
id arxiv_https___arxiv_org_abs_2602_18810
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Heisenberg Uncertainty Principle on half spaces and Orthants: Best constants, Optimizers and Stability
Lam, Nguyen
Lodha, Yukta
Lu, Guozhen
Sengupta, Ambar N.
Analysis of PDEs
Though the sharp Heisenberg Uncertainty Principle has been extensively studied in the entire Euclidean spaces, the counterpart on the half spaces or more general orthants has been missing in the literature. We investigate the sharp Heisenberg Uncertainty Principle on orthants by computing explicitly the optimal constant and determining all possible extremal functions. Moreover, we establish several stability estimates of the Heisenberg Uncertainty Principle on the half spaces and orthants.
title Heisenberg Uncertainty Principle on half spaces and Orthants: Best constants, Optimizers and Stability
topic Analysis of PDEs
url https://arxiv.org/abs/2602.18810