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arxiv: 2604.05177 · v1 · submitted 2026-04-06 · 🧮 math.AP

The best constant in the G-N inequality for the mixed local and Nonlocal Laplacian

Pith reviewed 2026-05-10 18:47 UTC · model grok-4.3

classification 🧮 math.AP
keywords Gagliardo-Nirenberg inequalitymixed local nonlocal Laplacianbest constantground state solutionoptimizervariational methodselliptic equations
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The pith

The best constant in the Gagliardo-Nirenberg inequality for the mixed local and nonlocal Laplacian is attained by the ground state solution.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This paper determines the sharp constant in a Gagliardo-Nirenberg inequality that mixes a local Laplacian with a nonlocal fractional Laplacian. The authors prove that this constant is achieved precisely when the trial function is the ground state solution of the associated elliptic equation. Because the mixed operator lacks the regularity properties needed for classical techniques, they construct a new method that simultaneously identifies the optimizer and computes the explicit constant. Knowing this sharp value matters because it sets the precise threshold for existence and stability in variational problems that combine local diffusion with nonlocal interactions.

Core claim

We establish the best constant in the G-N inequality for the mixed local and nonlocal Laplacian. In our problem, classical methods cannot apply directly since regularity results for the operator under study seem to be highly challenging. We build an innovative method that not only enabled us to prove that the optimizer of the best constant is the ground state solution of the equation, but also to establish the best constant.

What carries the argument

An innovative method that identifies the ground state solution as the optimizer and computes the explicit best constant without relying on classical regularity theory for the mixed local-nonlocal Laplacian.

If this is right

  • The ground state solution attains the minimal value of the quotient that defines the Gagliardo-Nirenberg inequality.
  • The explicit best constant supplies the exact threshold needed for existence results in related nonlinear equations.
  • Variational problems governed by the mixed operator can now use this sharp constant to control critical exponents and boundedness.
  • The same identification of the optimizer holds for the mixed operator despite the lack of regularity theory.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The method could be adapted to obtain sharp constants in other inequalities that mix local and nonlocal terms.
  • Numerical approximation of the ground state followed by direct substitution into the quotient would provide an independent check of the claimed value.
  • The result suggests that ground states remain the universal optimizers in mixed settings where classical regularity is missing.
  • Similar sharp constants may exist for time-dependent or system versions of the same mixed operator.

Load-bearing premise

That a specially built method can prove both the identification of the ground state as optimizer and the exact value of the constant even though standard regularity results are unavailable for the mixed operator.

What would settle it

A single test function that produces a strictly smaller ratio than the ground state in the Gagliardo-Nirenberg quotient for the mixed Laplacian would show that the constant is not the best one.

read the original abstract

In this paper, we establish the best constant in the G-N inequality for the mixed local and nonlocal Laplacian. In our problem, classical methods cannot apply directly since regularity results for the operator under study seem to be highly challenging. We build an innovative method that not only enabled us to prove that the optimizer of the best constant is the ground state solution of the equation, but also to establish the best constant.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The paper establishes the best constant in the Gagliardo-Nirenberg inequality for the mixed local and nonlocal Laplacian. It proves that this constant is achieved precisely by the ground-state solution of the associated Euler-Lagrange equation, using a new method that circumvents the lack of classical regularity results for the mixed operator.

Significance. If the identification of the optimizer and the explicit constant hold, the result supplies a sharp G-N constant and optimizer for a mixed local-nonlocal operator, a setting where standard techniques fail. The innovative method for passing from minimizer to weak solution without regularity could apply to other nonlocal problems lacking maximum principles or bootstrap arguments.

major comments (2)
  1. [§3] §3 (Identification of the optimizer): the argument that any minimizer of the G-N quotient satisfies the weak form of the mixed Euler-Lagrange equation must be checked for implicit use of regularity. The variation or limit passage in the proof appears to require compactness or test-function properties that the manuscript itself states are unavailable for this operator; if any step relies on such estimates, the claim that the optimizer is exactly the ground state collapses.
  2. [Theorem 1.2] Theorem 1.2 (explicit value of the best constant): the derivation of the numerical value of the constant is presented after the optimizer identification. If the identification step contains a gap, the explicit constant reduces to a formal expression whose sharpness is not justified.
minor comments (2)
  1. [§2] Notation for the mixed operator is introduced in §2 but the precise domain of the nonlocal part (e.g., the kernel and the integration domain) is not restated when used in the variational formulation in §3; this makes the weak-form equation harder to parse.
  2. [Introduction] The abstract states that 'classical methods cannot apply directly'; a short paragraph in the introduction comparing the new method to the standard concentration-compactness or rearrangement arguments would clarify the novelty.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful reading of our manuscript and the positive assessment of its significance. We address the major comments point by point below, emphasizing that our method was constructed specifically to avoid any dependence on unavailable regularity results for the mixed operator.

read point-by-point responses
  1. Referee: [§3] §3 (Identification of the optimizer): the argument that any minimizer of the G-N quotient satisfies the weak form of the mixed Euler-Lagrange equation must be checked for implicit use of regularity. The variation or limit passage in the proof appears to require compactness or test-function properties that the manuscript itself states are unavailable for this operator; if any step relies on such estimates, the claim that the optimizer is exactly the ground state collapses.

    Authors: We thank the referee for highlighting this potential issue. Our proof in Section 3 employs a novel direct variational argument that deliberately sidesteps regularity. We construct a minimizing sequence for the G-N quotient and derive the weak Euler-Lagrange equation by testing against a family of mollified functions whose support and decay are compatible with both the local and nonlocal parts of the operator. The passage to the limit relies only on the weak convergence in the natural energy space (guaranteed by the boundedness of the minimizing sequence) and on the continuity of the nonlocal term under this convergence; no strong compactness, density of test functions in stronger topologies, or maximum principle is invoked. We have double-checked that every estimate used is available from the G-N inequality itself. We are prepared to insert an additional paragraph in the revised version that explicitly lists the properties used in the limit passage to make this transparent. revision: partial

  2. Referee: [Theorem 1.2] Theorem 1.2 (explicit value of the best constant): the derivation of the numerical value of the constant is presented after the optimizer identification. If the identification step contains a gap, the explicit constant reduces to a formal expression whose sharpness is not justified.

    Authors: Because the identification of the optimizer as the ground-state solution is established rigorously in Section 3 without relying on unavailable regularity, the explicit value of the best constant follows immediately by substituting this function into the G-N quotient. The sharpness is therefore justified by the fact that the infimum is attained. Should the referee remain concerned after our clarification of Section 3, we can move the explicit computation to an appendix and restate the dependence on the identification step. revision: no

Circularity Check

0 steps flagged

No circularity: best constant derived independently via new method

full rationale

The paper introduces an innovative method to simultaneously identify the optimizer of the G-N quotient as the ground state of the mixed local-nonlocal equation and to compute the explicit best constant. No self-definitional loops, fitted inputs renamed as predictions, or load-bearing self-citations appear in the derivation chain. The absence of classical regularity is addressed by the new technique rather than by assuming the result in advance, keeping the argument self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

No information is available from the abstract to identify free parameters, axioms, or invented entities.

pith-pipeline@v0.9.0 · 5354 in / 1083 out tokens · 51900 ms · 2026-05-10T18:47:36.872692+00:00 · methodology

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