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Regularity of a free boundary determined by the value of the gradient. Part 1: Third order asymptotics

Analysis of PDEs · Submitted 10 Sep 2026 · 29 references

Pith's verdict: A technically solid third-order asymptotic expansion for a gradient-constrained free boundary problem, but with a load-bearing assumption whose necessity is unclear.

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arXiv ID2609.11324 (version 1)
Pith ID4YMFV4KU, Pith's permanent record of this paper and its review
CitationFrida Fejne. "Regularity of a free boundary determined by the value of the gradient. Part 1: Third order asymptotics." arXiv:2609.11324 (2026). https://pith.science/paper/4YMFV4KU
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The paper

The paper claims

For convex energies whose integrand changes at $|\nabla u|=1$, this paper proves a third-order asymptotic expansion at flat two-phase free boundary points, with the remainder converging to a limit that is $C^3$ in each phase.

The reading

At a point where the boundary between $|\nabla u|<1$ and $|\nabla u|>1$ is flat, the paper studies the third layer of information after the linear and quadratic terms in the minimizer. It establishes that such a minimizer of a uniformly convex energy can be written as $u=a+\nu\cdot x+\delta p+\delta\epsilon q$, where $p$ is a broken quadratic (one homogeneous quadratic polynomial in the upper half-ball, another in the lower half-ball) and $q$ is a remainder of $L^2$ norm one. For a sequence of minimizers whose second-order blow-ups converge to a genuinely broken quadratic $p_0$, the remainders $q_j$ have a subsequence converging weakly in $W^{1,2}_{loc}(B_1)$, and the limit $q_0$ satisfies an explicit PDE that combines a divergence-form operator, a cubic bulk term from third derivatives of $F$, and an interface integral over the plane $\{x_n=0\}$ carrying the jump in $D^2F$. The theorem also yields $q_0\in C^3(B_r^+)$ and $q_0\in C^3(B_r^-)$ for every $r<1$. The paper states that this one-sided $C^3$ control is the input intended for a subsequent proof of $C^{1,\alpha}$ regularity of the free boundary.

What carries the argument

The carrying object is the class of broken polynomials $\Pi(\nu)$: $C^1$ functions that are homogeneous quadratic polynomials $p_+$ above the plane $\{x_n=0\}$ and $p_-$ below it, each solving the corresponding half-space linearized equation $F^m_{p_ip_k}(\nu)D^2_{ik}p=0$, with the sign constraints $\nu\cdot\nabla p_+\geq0$ in $\mathbb{R}^n_+$, $\nu\cdot\nabla p_-\leq0$ in $\mathbb{R}^n_-$, and the nontrivial jump $D^2_{nn}p_+\neq D^2_{nn}p_-$. These functions replace the usual normal-to-the-level-set analysis, because the interface here is a level set of $|\nabla u|$. The decisive identity is the jump relation of Lemma 3.6, $D^2_{nn}p_-=D^2_{nn}p_+ + J\nu_nD^2_{\nu n}p_-/F^1_{p_np_n}(\nu)$, with $J=\nu\cdot(D^2F_1(\nu)-D^2F_2(\nu))\nu^T$. Combined with $D^2_{\nu n}p_0^+\neq D^2_{\nu n}p_0^-$, it forces $\nu_n\neq0$ and $J\neq0$, keeps the free boundaries in a strip converging to $\{x_n=0\}$, and ultimately produces the limiting PDE (4.74) from the weak form of the equation for $q_j$.

Extended reading notes

Core claim

The central claim is that the third-order remainder of a minimizer at a flat two-phase point has a deterministic limit. Writing each $u_j=a_j+\nu_j\cdot x+\delta_jp_j+\delta_j\epsilon_jq_j$, with $p_j\in\Pi(\nu_j)$ obtained from an $L^2$-projection and $\|q_j\|_{L^2(B_1)}=1$, the paper proves that if the second-order defects converge to a broken quadratic $p_0$ with $D^2_{\nu n}p_0^+\neq D^2_{\nu n}p_0^-$ and if $\delta_j/\epsilon_j$ is bounded, then a subsequence satisfies $q_j\rightharpoonup q_0$ in $W^{1,2}_{loc}(B_1)$. The limit obeys the PDE (4.74): a divergence-form equation with coefficients $F^*_{p_ip_k}(\nu,x)$, a bulk force $\tau\sum F^*_{p_ip_kp_l}(\nu,x)D_{ik}p_0D_lp_0$, and an interface term supported on $B'_1\subset\{x_n=0\}$ with amplitude $\frac{\nu\cdot(D^2F_1(\nu)-D^2F_2(\nu))\nu^T}{2\nu_n}(\alpha+\tau|\nabla p_0(x',0)|^2)$, where $\tau=\lim \delta_j/\epsilon_j$ and $\alpha=\lim(|\nu_j|^2-1)/(\delta_j\epsilon_j)$. The same theorem gives $q_0\in C^3(B_r^+)$ and $q_0\in C^3(B_r^-)$ for $0<r<1$. The first version required a bound on $\alpha_j$; the main version removes that assumption, keeping only the boundedness of $\delta_j/\epsilon_j$.

Load-bearing premise

The load-bearing assumption is that the normalized second-order error is at most a fixed multiple of the third-order scale in the expansion of each minimizer; if that ratio can grow without bound, the uniform estimate on the remainders and the passage to the limit no longer follow from this proof.

Editorial extensions

If this is right

  • For sequences of two-phase flat minimizers with bounded $\delta_j/\epsilon_j$, the third-order remainders are compact, so a subsequence always converges weakly in $W^{1,2}_{loc}$.
  • The limiting remainder $q_0$ is forced to satisfy the explicit PDE (4.74), whose interface term encodes the jump in the Hessian of $F$ across the gradient level set.
  • The limit $q_0$ is $C^3$ in $B_r^+$ and $C^3$ in $B_r^-$ for every $r<1$, so any lack of smoothness is confined to the interface plane and is controlled by the trace terms involving $\alpha$ and $\tau$.
  • The free boundaries $\Gamma_j$ locally collapse to the flat hyperplane $\{x_n=0\}$ at the analysed scales, with the strip width tending to zero.
  • The one-sided $C^3$ estimates are the stated input for a later argument proving $C^{1,\alpha}$ regularity of the free boundary at flat two-phase points.

Reading between the lines

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

  • Because the $\alpha$-term in (4.74) only appears through the $L^2$-projection of the slope $\nu_j$, the paper's simpler expansion with fixed slopes would give $\alpha=0$; this suggests that geometric statements about $\Gamma$ should be invariant under the choice of projection, so the $\alpha$-dependence should cancel once quantities are re-expressed in invariant form.
  • If $F_1$ and $F_2$ are both quadratic, all third-derivative terms vanish and $q_0$ solves a linear transmission problem with a jump condition on $\{x_n=0\}$; this is a tractable benchmark in which the convergence statements can be checked by direct computation.
  • The arguments are PDE-based and do not use monotonicity formulas or maximum principles; the same route may adapt to systems, parabolic problems, or elastic-plastic models where the gradient threshold varies, which is the paper's stated motivation.
  • One-sided $C^3$ control of $q_0$ is stronger than the $C^{1,\alpha}$ regularity sought for the interface, so a natural next check is whether the normal to $\Gamma$ can be recovered directly from the second-order jump of $p_0$ rather than from any derivative of $q_0$.
Original abstract

This is the first part of a project concerning the regularity of the free boundary of a function, where the free boundary depends on the gradient of the function. We study the minimizer of the expression \begin{equation*} J(u) : = \int_{B_1} F(\nabla u) \ dx, \end{equation*} where $F(x)$ is a uniformly convex function whose second derivatives might jump at $|x|=1$. This results in an Euler-Lagrange equation that varies over the free boundary, which we define as $$ \Gamma = \partial \{x \in B_1: |\nabla u| >1 \} \cap \partial \{x \in B_1: |\nabla u| <1 \}. $$ We consider two-phase flat points for which the second derivatives of $F$ jump over $\Gamma$. In this paper, we show that under some regularity and non-degeneracy assumptions, a minimizer $u$ can be expressed as $$ u(x)= a + \nu \cdot x+ \delta p(x) + \delta \epsilon q(x), $$ where $a \in \mathbb{R}$, $\nu \in \mathbb{R}^n$, $0 < \delta, \epsilon << 1$. Here $p$ is a $C^1$ function, which consists of one polynomial in the upper half ball and another polynomial in the lower half ball. The function $q$ is a rest term with bounded $L^2$ norm. Furthermore, assuming that we have a sequence, $u^j$, of minimizers, we show that $q^j$ converges weakly to a function $q^0$ that satisfies a certain PDE. In addition, we show that $q^0$ is $C^3$ in $B_r^+$ and $B_r^-$, respectively, for $0<r<1$. This is the main result of this paper which is intended to be used to show regularity of the free boundary.

The compiled record

The paper's own sentences, arranged, kept beside the review and separate from it. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 7,996 input tokens.

What the abstract itself states, as probabilities: claims first 0.45 · states limitation 0.57 · human participants 0.01 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.38 · compares with prior results 0.05 · mentions code or data availability 0.01.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

This is the first part of a project concerning the regularity of the free boundary of a function, where the free boundary depends on the gradient of the function. We study the minimizer of the expression \begin{equation*} J(u) : = \int_{B_1} F(\nabla u) \ dx, \end{equation*} where $F(x)$ is a uniformly convex function whose second derivatives might jump at $|x|=1$. This results in an Euler-Lagrange equation that varies over the free boundary, which we define as $$ \Gamma = \partial \{x \in B_1: |\nabla u| >1 \} \cap \partial \{x \in B_1: |\nabla u| <1 \}. $$ We consider two-phase flat points for which the second derivatives of $F$ jump over $\Gamma$. In this paper, we show that under some regularity and non-degeneracy assumptions, a minimizer $u$ can be expressed as $$ u(x)= a + \nu \cdot x+ \delta p(x) + \delta \epsilon q(x), $$ where $a \in \mathbb{R}$, $\nu \in \mathbb{R}^n$, $0 < \delta, \epsilon << 1$. Here $p$ is a $C^1$ function, which consists of one polynomial in the upper half ball and another polynomial in the lower half ball. The function $q$ is a rest term with bounded $L^2$ norm. Furthermore, assuming that we have a sequence, $u^j$, of minimizers, we show that $q^j$ converges weakly to a function $q^0$ that satisfies a certain PDE. In addition, we show that $q^0$ is $C^3$ in $B_r^+$ and $B_r^-$, respectively, for $0<r<1$. This is the main result of this paper which is intended to be used to show regularity of the free boundary.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 This is the first part of a project concerning the regularity of the free boundary of a function, where the free boundary depends on the gradient of the function. background 0.97 0.24 0.03 asserted 0.93
s1 We study the minimizer of the expression \begin{equation*} J(u) : = \int_{B_1} F(\nabla u) \ dx, \end{equation*} where $F(x)$ is a uniformly convex function whose second derivatives might jump at $|x|=1$. contribution 0.71 0.55 0.02 asserted 0.87
s2 This results in an Euler-Lagrange equation that varies over the free boundary, which we define as $$ \Gamma = \partial \{x \in B_1: |\nabla u| >1 \} \cap \partial \{x \in B_1: |\nabla u| <1 \}. background 0.50 0.76 0.03 asserted 0.99
s3 $$ We consider two-phase flat points for which the second derivatives of $F$ jump over $\Gamma$. background 0.58 0.35 0.02 asserted 0.84
s4 In this paper, we show that under some regularity and non-degeneracy assumptions, a minimizer $u$ can be expressed as $$ u(x)= a + \nu \cdot x+ \delta p(x) + \delta \epsilon q(x), $$ where $a \in \mathbb{R}$, $\nu \in \mathbb{R}^n$, $0 < \delta, \epsilon << 1$. result 0.96 0.95 0.16 asserted 0.92
s5 Here $p$ is a $C^1$ function, which consists of one polynomial in the upper half ball and another polynomial in the lower half ball. result 0.94 0.73 0.02 asserted 1.00
s6 The function $q$ is a rest term with bounded $L^2$ norm. result 0.80 0.70 0.02 asserted 1.00
s7 Furthermore, assuming that we have a sequence, $u^j$, of minimizers, we show that $q^j$ converges weakly to a function $q^0$ that satisfies a certain PDE. result 0.90 0.95 0.05 asserted 1.00
s8 In addition, we show that $q^0$ is $C^3$ in $B_r^+$ and $B_r^-$, respectively, for $0<r<1$. result 1.00 0.94 0.26 asserted 1.00
s9 This is the main result of this paper which is intended to be used to show regularity of the free boundary. future work 0.47 0.40 0.66 asserted 0.91

What kind of paper the classifier reports this is: theoretical result 1.00 · evidence from proof or derivation 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

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