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$\mathrm{L}^p$ bounds for parabolic Riesz transforms with rough coefficients: The case $1<p \leq 2$

T0 review · 1 major / 7 minor · reviewed 2026-07-08 · glm-5.2

Pith's one-line read Parabolic Riesz transforms bounded on L^p with rough coefficients

desk verdict First L^p bounds for parabolic Riesz transforms with non-autonomous measurable coefficients; the dual-geometry off-diagonal framework is the real innovation. read the letter →

arxiv 2607.05181 v2 pith:AJQ4LJGA submitted 2026-07-06 math.CA math.APmath.FA

classification math.CAmath.APmath.FA
keywords parabolicboundscoefficientsmathrmrangecaseopenriesz
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

This paper establishes the first L^p boundedness results for parabolic Riesz transforms associated with non-autonomous second-order parabolic operators in divergence form with bounded measurable coefficients depending on all variables. The central object is the parabolic Riesz transform R_H = (∇_x H^{-1/2}, D_t^{1/2} H^{-1/2}), which combines a spatial gradient and a half-order time derivative applied to the inverse square root of the heat-type operator H. The authors prove that R_H is bounded on L^p for every p in the range (p_-(H), 2], where p_-(H) is a critical exponent governed by L^p resolvent bounds. For complex coefficients, this exponent always lies below the lower parabolic Sobolev conjugate 2★ = 2(n+2)/(n+4), and the result is sharp in dimension n ≥ 2. For real coefficients, p_-(H) = 1, giving the full range (1, 2], and the spatial gradient component is additionally of weak type (1,1). The key technical innovation is a set of space-time off-diagonal estimates that combine two different geometric regimes: parabolic cubes on small scales and time-stretched annuli modeled on the level sets of the half-order time derivative of a parabolic Bessel potential on large scales. This change of geometry allows the exponential spatial decay of the resolvent kernel to compensate for the insufficient temporal decay (which is 3/2, below the homogeneous dimension n+2), enabling extrapolation below the threshold 2★ that no single-metric approach could reach.

What carries the argument

Space-time off-diagonal estimates combining parabolic cubes (small scale) with time-stretched annuli modeled on Bessel kernel level sets (large scale); Blunck-Kunstmann extrapolation adapted to two incompatible geometries; iterative bootstrap along parabolic Sobolev conjugates; commutator identity [H*, η] = -(∂_t η) enabling local splitting of temporal off-diagonal estimates

What would settle it

Construct a bounded measurable elliptic coefficient A in dimension n ≥ 2 for which p_-(H) is strictly below 2★, or show that in dimension n = 1, p_-(H) = 1 fails for some complex coefficient.

Watch

Extended reading notes

Core claim

The critical exponent p_-(H) governing L^p boundedness of the parabolic Riesz transform equals q_-(H) and lies in [1, 2★), and this range is sharp. The identification rests on a two-geometry off-diagonal framework: parabolic cubes for small scales and time-stretched annuli for large scales, which together convert spatial exponential decay into sufficient temporal decay. A bootstrap argument along parabolic Sobolev conjugates then iteratively extends the boundedness range from L^2 down to (p_-(H), 2], with each extrapolation step's interval independent of the starting exponent. For real coefficients, Gaussian heat kernel bounds force p_-(H) = 1, and the spatial gradient component achieves the

Load-bearing premise

The off-diagonal estimates for temporal supports rely on the commutator [H*, η] = -(∂_t η) being a local multiplication operator, which allows the dual estimate to split into local and non-local terms and ultimately controls the decay rate. If this commutator structure were lost — for instance, under a different operator realization or with lower regularity — the off-diagonal framework and the bootstrap argument would fail.

Editorial extensions

If this is right

  • The two-geometry off-diagonal framework may extend to other non-local operators where a single metric cannot capture both local and large-scale behavior, such as generalized Stokes operators.
  • The p-sensitivity of the off-diagonal decay rate (ε = 1 + 1/(1+p')) suggests that coefficient-dependent lower bounds on p_-(H) could be computed for specific operator classes.
  • The sharpness construction via Mooney's irregular solutions in dimension n ≥ 2 raises the question of whether p_-(H) = 1 always holds in dimension n = 1, which remains open.
  • The weak type (1,1) bound for the spatial gradient component with real coefficients leaves open whether the full Riesz transform including D_t^{1/2} H^{-1/2} also satisfies this endpoint estimate.
  • The extrapolation range for p > 2 is conjectured to be governed by a dual critical exponent q_+(H), analogous to the elliptic setting, but duality cannot be directly applied due to the limited-range phenomenon.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The two-geometry strategy may apply more broadly to operators where a non-local component (here D_t^{1/2}) couples variables in a way that destroys single-metric structure, suggesting a general principle: when kernel decay is insufficient in one variable, a change of geometry can trade decay from another variable to compensate.
  • The sharpness result in n ≥ 2 but not n = 1 hints that the obstruction to p_-(H) = 1 is fundamentally tied to spatial dimension, possibly reflecting the interplay between the parabolic scaling dimension n+2 and the singularity structure of irregular solutions.
  • The commutator identity [H*, η] = -(∂_t η) being a local multiplication operator is the structural linchpin; if this locality were lost under different operator realizations or lower regularity, the entire off-diagonal and bootstrap framework would fail, suggesting that the result's reach depends on preserving this commutator structure.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

1 major / 7 minor

Summary. This paper establishes L^p bounds for parabolic Riesz transforms R_H = D H^{-1/2} associated with non-autonomous second-order parabolic operators H = ∂_t − div_x(A∇_x) with bounded measurable coefficients on R^{n+1}. The main result (Theorem 1.3) identifies the maximal open range (p_-(H), 2] for L^p boundedness, where p_-(H) = q_-(H) ∈ [1, 2★) with 2★ = 2(n+2)/(n+4). For real coefficients, p_-(H) = 1 and the spatial component ∇_x H^{-1/2} is weak type (1,1). The range is shown to be sharp for n ≥ 2. The proof combines novel space-time off-diagonal estimates (Section 4) exploiting two complementary geometries—parabolic cubes on small scales and time-stretched annuli on large scales—with a Blunck–Kunstmann-type extrapolation framework (Section 5) and a bootstrap argument (Section 6) identifying p_-(H) = q_-(H).

Significance. This is a substantial contribution to the limited-range extrapolation theory for Riesz transforms with rough coefficients. The key technical innovation is the space-time off-diagonal framework of Section 4, where the commutator locality [H*, η] = −(∂_t η) (Proposition 4.4) is leveraged to convert spatial exponential decay into temporal algebraic decay with a p-sensitive exponent ε = 1 + 1/(1+p') > 1. The dual geometry (parabolic cubes vs. time-stretched annuli) is a genuine new idea that falls outside standard Calderón–Zygmund theory on spaces of homogeneous type. The sharpness result (Section 9) via Mooney's irregular solutions provides a falsifiable endpoint. The identification p_-(H) = q_-(H) via the bootstrap in Theorem 6.1, together with the iterative extrapolation in Theorem 7.3, constitutes the central achievement. The paper builds on the L^2 theory of [1, 9] and resolvent bounds of [1] as external inputs.

major comments (1)
  1. The stress-test concern regarding the Jensen step in (4.7) at the endpoint p = 1 does not, on careful reading, create a gap in the complex-coefficient case. Proposition 4.4 is stated for p ∈ (1, 2], and the exponent ε = 1 + 1/(1+p') is strictly greater than 1 for all such p. The bootstrap in Theorem 6.1, Step 2 constructs a decreasing sequence s_n → p where p > p_-(H) is fixed but arbitrary. Since p_-(H) ≥ 1 for complex coefficients and the bootstrap only needs to approach p > p_-(H) ≥ 1, the sequence s_n stays bounded away from 1 whenever p > 1. The case p_-(H) = 1 is handled separately in Section 8 via Gaussian bounds, bypassing the bootstrap entirely. The concern is well-raised but ultimately does not land: the paper's architecture correctly separates the complex-coefficient bootstrap (which never needs p = 1) from the real-coefficient case (which uses a different mechanism). I have a
minor comments (7)
  1. Section 5.1 title: 'Exrapolation' should read 'Extrapolation'.
  2. Proof of Theorem 8.5: 'we imnose' should be 'we impose'.
  3. In the proof of Proposition 4.4, the transition from the dual estimate to the primal estimate via duality is stated briefly. A one-line clarification that the L^{p'} bound for (λ E*_λ D^{1/2}_t) transfers to the L^p bound for (λ D^{1/2}_t E_λ) by duality would improve readability.
  4. The notation 2★ is used before its definition in the statement of Theorem 1.3. Moving the definition 2★ = 2(n+2)/(n+4) to appear before part (1) of the theorem would help the reader.
  5. In the proof of Theorem 7.3, the condition 3α ≥ β + 1 is imposed mid-proof. A brief remark explaining the role of this condition (ensuring sufficient decay in the functional calculus) would aid the reader.
  6. Figure 1: the caption mentions 'typically N ≥ 2^n' but the role of N in controlling the kernel decay via (1.2) could be stated more explicitly. A brief sentence connecting N to the requirement ε > 1 on the full annulus would avoid confusion.
  7. In Lemma 7.5, the exponents ϱ_1, ϱ_2 are introduced but their relationship to p_-(H) could be stated more explicitly. Clarifying that ϱ_1, ϱ_2 ∈ (p_-(H), p) would improve clarity.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the careful reading and the positive assessment. The referee raises a single major comment concerning a potential stress-test of the Jensen step in (4.7) at the endpoint p=1 in the complex-coefficient case. As we explain below, we agree with the referee's analysis that no gap exists: the architecture of the paper correctly separates the complex-coefficient bootstrap (which operates strictly for p>1) from the real-coefficient case (which uses Gaussian bounds and a different mechanism).

read point-by-point responses
  1. Referee: The stress-test concern regarding the Jensen step in (4.7) at the endpoint p = 1 does not, on careful reading, create a gap in the complex-coefficient case. Proposition 4.4 is stated for p in (1,2], and the exponent epsilon = 1 + 1/(1+p') is strictly greater than 1 for all such p. The bootstrap in Theorem 6.1, Step 2 constructs a decreasing sequence s_n to p where p > p_-(H) is fixed but arbitrary. Since p_-(H) >= 1 for complex coefficients and the bootstrap only needs to approach p > p_-(H) >= 1, the sequence s_n stays bounded away from 1 whenever p > 1. The case p_-(H) = 1 is handled separately in Section 8 via Gaussian bounds, bypassing the bootstrap entirely. The concern is well-raised but ultimately does not land: the paper's architecture correctly separates the complex-coefficient bootstrap (which never needs p = 1) from the real-coefficient case (which uses a different mechanism).

    Authors: We thank the referee for the careful and precise analysis of this point. We agree entirely with the assessment. To confirm the referee's reasoning explicitly: Proposition 4.4 is stated for p in (1,2], and the exponent epsilon = 1 + 1/(1+p') satisfies epsilon > 1 for all such p, tending to 1 only in the limit as p tends to 1. In the bootstrap of Theorem 6.1, Step 2, one fixes an arbitrary p in (p_-(H), 2] and constructs a decreasing sequence (s_n) converging to p. Since p > p_-(H) >= 1, the sequence s_n remains bounded away from 1, and thus epsilon evaluated at s_n remains strictly greater than 1 throughout the iteration. The Jensen step in (4.7) is therefore always applied with p' finite. The endpoint p_-(H) = 1 for real coefficients is treated in Section 8 via Gaussian kernel bounds (Lemma 8.2), which bypasses the bootstrap and the p-sensitive off-diagonal estimates of Section 4 entirely. No revision to the mathematical content is needed. We will add a brief clarifying remark in the text near the statement of Proposition 4.4 or in the proof of Theorem 6.1, Step 2, explicitly noting that the bootstrap sequence stays bounded away from p=1 whenever p > p_-(H) >= 1, so that epsilon > 1 is maintained throughout. This should preempt any reader having the same well-motivated concern. revision: partial

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity found: the derivation chain is self-contained with external foundations

full rationale

The paper's main derivation chain proceeds as follows: (1) The L^2 theory (Theorem 2.3) is imported from [1, 9] — these are the parabolic Kato square root estimates, major independent results with their own complete proofs. While Egert is a co-author of both this paper and [1]/[9], the cited results are not assumptions of the present paper's conclusions; they are the L^2 starting point from which extrapolation proceeds. (2) The space-time off-diagonal estimates (Proposition 4.4, Theorem 4.10) are genuinely derived from the commutator identity [H*, η] = -(∂_t η) and a Jensen inequality step, yielding the exponent ε = 1 + 1/(1+p') by optimizing γ in (4.8). No input is renamed as a prediction. (3) The extrapolation framework (Theorem 5.1, Proposition 5.10) consists of general harmonic analysis criteria attributed to Blunck–Kunstmann [21] and inspired by [40, 18]; these are abstract tools not specific to this paper's operators. (4) The bootstrap in Theorem 6.1 proving p_-(H) = q_-(H) starts from L^2 boundedness and iterates downward using the off-diagonal estimates at each current exponent s_n, not at the target p — this is a genuine bootstrap, not a definitional identity. (5) The sufficient condition (Theorem 7.3) and necessary condition (Proposition 7.12) together form a two-sided characterization, each with independent proofs. (6) The sharpness result (Section 9) uses Mooney's construction [42], an external result. The self-citations to [1, 7, 9] are for foundational results with independent proofs that do not assume the conclusions of this paper. No step reduces to its inputs by construction.

Assumptions & free parameters 4 free parameters · 5 assumptions · 0 invented entities

No new mathematical entities (particles, forces, dimensions, etc.) are postulated. The paper works entirely within the standard framework of divergence-form parabolic operators on R^{n+1}, resolvent families, and L^p spaces. The 'time-stretched annuli' and 'dual geometry' are proof techniques, not new mathematical objects. All axioms are either standard mathematical results (Marcinkiewicz theorem) or domain assumptions with external proofs (Kato square root, Gaussian bounds, Mooney solutions). The free parameters N, α, β are proof-structural choices, not physical constants or fitted values.

free parameters (4)
  • N (stretching parameter) = N ≥ 4, chosen sufficiently large
    Controls the time-stretching in the annuli C_j^N(Δ_r). Not fitted to data but chosen large enough for series convergence in (7.11). A free structural parameter of the proof, not of the result.
  • α (functional calculus parameter) = α ≥ 2N+1, chosen sufficiently large
    Appears in ψ(z) = z^{3α}(1+z)^{-6α} in the Calderón reproducing formula (7.4). Chosen large enough for integrability in (7.10). Again a proof parameter, not a physical constant.
  • β (resolvent power) = β ≥ 1, integer, chosen via Lemma 7.5
    Determines E_λ^β for L^p–L^q off-diagonal estimates. Existence guaranteed by Lemma 3.3 (triangle interpolation).
  • M, κ (ellipticity constants) = Input from the coefficient class (2.2)
    Standard ellipticity parameters: |Aξ·ζ| ≤ M|ξ||ζ| and Re(Aξ·ξ) ≥ κ|ξ|². These are inputs defining the operator class, not fitted.
assumptions (5)
  • domain assumption The maximal restriction of H to L^2(R^{n+1}) is m-accretive and injective, with domain of its square root equal to the energy space E (Theorem 2.3, from [1, 9]).
    This is the L^2 Kato square root estimate for parabolic operators, established externally in [1, Theorem 1.1] and [9, Theorem 2.6]. The entire construction of R_H = DH^{-1/2} depends on this.
  • domain assumption The commutator [H*, η] = −(∂_t η) is a local multiplication operator for η ∈ C_b^∞(R) acting in the t-variable (proof of Proposition 4.4, Section 4.1).
    This follows from the variational definition of H* and the t-independence of the spatial coefficient structure. It is the structural fact enabling the temporal off-diagonal estimates.
  • domain assumption Gaussian upper bounds for the heat kernel are available when A has real coefficients (Lemma 8.2, from [8]).
    Used in Section 8 to obtain L^1–L^p off-diagonal estimates for resolvent powers, yielding p_-(H) = 1 and weak type (1,1) for ∇_x H^{-1/2}.
  • domain assumption Mooney's irregular weak solutions to uniformly parabolic equations exist with the stated pointwise bounds (Section 9, from [42]).
    Used to construct the sharpness counterexample in Proposition 9.1. The existence and properties of these solutions are established externally in [42, Theorem 2.2].
  • standard math The Marcinkiewicz multiplier theorem applies to the multiplier m = (iτ + |ξ|²)^{1/2}/(|τ|^{1/2} + i|ξ|) on R^{n+1} (Appendix A, from [34]).
    Used in the proof of the parabolic Sobolev embedding (Lemma 6.2) to establish L^p boundedness of the operator T associated with m.

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Cite this review

Pith. "Pith review of $\mathrm{L}^p$ bounds for parabolic Riesz transforms with rough coefficients: The case $1<p \leq 2$." pith.science (2026). https://pith.science/paper/AJQ4LJGA

@misc{pith2026260705181,
  author       = {Pith},
  title        = {Pith review of: $\mathrmL^p$ bounds for parabolic Riesz transforms with rough coefficients: The case $1<p \leq 2$},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/AJQ4LJGA}},
  note         = {Machine review of arXiv:2607.05181}
}
abstract

We establish the first results on $\mathrm{L}^p$ bounds for Riesz transforms associated with non-autonomous second order parabolic differential operators in divergence form with bounded coefficients that depend measurably on all variables. In the case of complex coefficients, we identify the maximal open range of exponents $1<p \leq2$ through the availability of $\mathrm{L}^p$ resolvent bounds. This open range always contains the lower parabolic Sobolev conjugate of $2$ and the result is sharp in spatial dimension $n \geq 2$. For real coefficients, we prove extrapolation to the full range. Our argument relies on novel space-time off-diagonal bounds based on two complementary geometries: parabolic cubes on small scales and regions modeled after the half-order time derivative of a parabolic Bessel potential on large scales.

Figures

Figures reproduced from arXiv: 2607.05181 by the authors.

Figure 1
Figure 1. Change of geometry on large scales: The coloured annulus is separated from the centered parabolic cube (gray) of radius 𝑟 by a distance of 𝑁 2 𝑗 𝑟 2 in time (violet) and 2 𝑗 𝑟 in space (golden). Typically, 𝑁 ≥ 2 𝑛 , so that the right-hand side in (1.2) is controlled by 2 − 𝑗 𝜀 with 𝜀 > 1 on the full annulus [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. The splitting of 𝐶 𝑁 𝑗 (Δ𝑟 ) in the proof of Theorem 4.10 with the spatial support 𝐶 𝑁,𝑥 𝑗 (Δ𝑟 ) (golden) and the time support 𝐶 𝑁,𝑡 𝑗 (Δ𝑟 ) (violet) estimates, we introduce the auxiliary set Δ 𝑗−1, 𝑗/2 𝑟 := 2 𝑗−1𝑄𝑟 × 𝑁 𝑗/2 𝐼𝑟 . Similarly to (4.11) we check that for 𝑁 ≥ 4 we have d(𝐶 𝑁,𝑥 𝑗 (Δ𝑟 ), Δ 𝑗−1, 𝑗/2 𝑟 ) ≥ 2 𝑗−1 𝑟 and d( (Δ 𝑗−1, 𝑗/2 𝑟 ) c , Δ𝑟 ) ≥ 2 𝑗−3 (4.13) 𝑟. We now split accordingly 1𝐶 𝑁 𝑗 (Δ𝑟 ) 𝜆𝐷1/2 𝑡 … view at source ↗
Figure 3
Figure 3. A (𝜃, 1/𝜎)-plane covering the exponents in Proposition 5.10. The line defined by 1/𝜎 = 1/[ 𝑝,𝑠] 𝜃 (violet) and the bisector (dashed) intersect at some point (𝜃, 1/𝑞). Proposition 5.10 extrapolates boundedness from 𝑠 down to but not including 𝑞 (golden). holds for all (𝑥, 𝑡) ∈ R 𝑛+1 , 𝜆 > 0 and 𝑢 ∈ L 𝑝 (R 𝑛+1 ) ∩ L 𝑠 (R 𝑛+1 ). Indeed, boundedness of (𝑇𝜆)𝜆>0 then readily follows from ∥𝑇𝜆𝑢∥ 𝑟 𝑟 = ¨ R𝑛+1 | (𝑇𝜆𝑢) (𝑦, 𝑠)|… view at source ↗
Figures from the paper (1 more)
Figure 4
Figure 4. Figure 4: A (𝜃, 1/𝜎)-plane covering the exponents of the iteration scheme in Step 2 of the proof of Theorem 6.1. The line of exponents defined through 1/𝜎 = 1/[ 𝑝,𝑠] 𝜎 (golden) and the auxiliary line 1/𝜎 = 𝜃/𝑝 (violet) intersect at some point (𝜃, 1/𝑟) (black) below the bisector …

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