Abstract
Motivated by Ball and Majumdar’s modification of Landau-de Gennes model for nematic liquid crystals, we study energy-minimizer Q of a tensor-valued variational obstacle problem in a bounded 3-D domain with prescribed boundary data. The energy functional is designed to blow up as Q approaches the obstacle. Under certain assumptions, especially on blow-up profile of the singular bulk potential, we prove higher interior regularity of Q, and show that the contact set of Q is either empty, or small with characterization of its Hausdorff dimension. We also prove boundary partial regularity of the energy-minimizer.
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Acknowledgements
We want to thank Professor Fanghua Lin for introducing us to this obstacle problem, and for his valuable comments and suggestions in the preparation of this work.
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Communicated by J.Ball.
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This work was supported by National Science Foundation (DMS-1501000).
Appendices
Proof of (2.6)
In order to prove (2.6), we first prove the following lemma.
Lemma A.1
Let \(M,\,N,\,P\) be \(3\times 3\)-symmetric traceless matrices. Then
and
Proof
To prove (A.1), we can only consider the case when M is diagonal, due to the fact that M is symmetric and both Frobenius norm and matrix 2-norm are unitarily invariant. Without loss of generality we assume \(M=\mathrm {diag}\{\lambda _1,\lambda _2,-\lambda _1-\lambda _2\}\) with \(\lambda _1\lambda _2\ge 0\), we deduce that
Then (A.1) follows. The equality holds if and only if M has two equal eigenvalues.
For (A.2), we compute
The equality holds if and only if \(M_{23}=N_{13}=P_{12}=0\). It suffices to prove non-negativity of each term on the right hand side of (A.3). We only show this for the first term; the others can be handled similarly.
Here we used \(\sum _{i=1}^3 M_{ii}=0\) in the second line. The equality holds if and only if
This completes the proof of (A.2). \(\square \)
To this end, (2.6) follows immediately from the lemma if we take \(M=D_k^h Q\) in (A.1), and take \(M=D_k^h \partial _1 Q,\, N=D_k^h \partial _2 Q,\, P=D_k^h \partial _3 Q\) in (A.3).
Formula of p(A)
Lemma B.1
For \(A>-\frac{3}{5}\), let
where \(p(A,\omega )\) is defined in (2.7). Then p(A) is given by (1.10).
Proof
We rewrite (2.7) as
It is easy to see that if \(\frac{9}{5}-2A^2 \ge 0\), \(p(A,\omega )\) achieves its supremum at \(\omega = 1\), which gives
It suffices to consider \(2A^2 > \frac{9}{5}\), i.e., \(A> \frac{3\sqrt{10}}{10}\). Define
where
Then
Since
we find that \(g'(y)<0\) if and only if
which is equivalent to
Solving these inequalities under the assumption \(A>\frac{3\sqrt{10}}{10}\), we find that
This implies that within the domain of g(y), i.e.,
g(y) is decreasing if and only if \(y\ge y_+\).
- 1.
When
$$\begin{aligned} 1+\frac{5}{3} A \le y_+\quad \Leftrightarrow \quad A\in \left( \frac{3\sqrt{10}}{10},\sqrt{\frac{18}{5}}\right] , \end{aligned}$$\(p(A,\cdot )\) is increasing on [0, 1]. Hence,
$$\begin{aligned} p(A) = p(A,1) = 1+\frac{3}{A}+\frac{9}{5A^2}. \end{aligned}$$ - 2.
When
$$\begin{aligned} \frac{5}{3} A< y_+< 1+\frac{5}{3} A\quad \Leftrightarrow \quad A\in \left[ \sqrt{\frac{18}{5}}, \frac{3}{5}+\sqrt{\frac{18}{5}}\right] , \end{aligned}$$then supremum of \(p(A,\cdot )\) is achieved at \(\omega _*\) such that \(\omega _*+\frac{5}{3} A = y_+\). Combining this with (B.1) yields that
$$\begin{aligned} p(A) = 1+\frac{3+5A}{2\sqrt{10}A- 6}. \end{aligned}$$ - 3.
When
$$\begin{aligned} \frac{5}{3} A \ge y_+\quad \Leftrightarrow \quad A\ge \frac{3}{5}+\sqrt{\frac{18}{5}}, \end{aligned}$$\(p(A,\cdot )\) is decreasing on [0, 1]. Hence,
$$\begin{aligned} p(A) = p(A,0) = 1+\frac{3+\sqrt{9+6A}}{2A}. \end{aligned}$$
This completes the derivation. \(\square \)
Study of d(Q)
We study the properties of d(Q) in this section. It is known that every \(Q\in {\mathcal {Q}}_{phy}\) can be represented by
where
and where (n, m, p) forms an orthonormal frame in \({\mathbb {R}}^3\). Then we have the following characterization of d(Q).
Lemma C.1
Let \(Q\in {\mathcal {Q}}_{phy}\) be given by (C.1) and (C.2). Then \(d(Q)=|Q-Q'|\), where
As a result,
Proof
Since the distance between two matrices is invariant under orthogonal transforms, without loss of generality, we may assume \(n = (1,0,0)\), \(m = (0,1,0)\) and \(p = (0,0,1)\). Let \(s=2\lambda _1+\lambda _2\) and \(r=2\lambda _2+\lambda _1\). Then (C.1) becomes
Now we are going to look for \(Q'\in \partial {\mathcal {Q}}_{phy}\) such that \(|Q-Q'|\) is minimized. Assume
with
and \((n',m')\) being an orthonormal pair.
First we are going to show that when \(s',r'\) is fixed, \(|Q-Q'|\) is minimized when \(n'=n,\,m'=m\). We calculate that
Here \(C(s,r,s',r')\) represents some constant depending only on s, r, \(s'\) and \(r'\), whose definition changes from line to line.
Then it suffices to show that
Recall that
We claim that \(u^2\le b^2+c^2\). Indeed, by (C.4),
which implies that \(u^2\le 1-a^2=b^2+c^2\). Then we deduce that
Here we used (C.4) and the facts that \(s\le r\le 0\) and \(s'\le r' \le 0\).
To this end, we have showed that if Q is given by (C.1) and if \(Q'\in \partial {\mathcal {Q}}_{phy}\) minimizes \(|Q-Q'|\), \(Q'\) should be represented by
for some \(-1/3= \mu _1\le \mu _2\le \mu _3\le 2/3\) such that \(\mu _1+\mu _2+\mu _3 =0\). The constraints on \(\mu _i\) are due to the characterization of \(\partial {\mathcal {Q}}_{phy}\) in (1.2). Moreover,
Therefore, \(|Q-Q'|\) achieves its minimum if
(C.3) follows immediately. This completes the proof. \(\square \)
An immediate consequence of Lemma C.1 is
Lemma C.2
d(Q) is Lipschitz continuous in \({\mathcal {Q}}_{phy}\).
Proof
The difference between the smallest eigenvalues of two matrice in \({\mathcal {Q}}_{phy}\) can be bounded by their distance. Combining this fact with Lemma C.1, we complete the proof of the Lemma. \(\square \)
A construction of \(\{f_b^\varepsilon \}\)
In this section, we provide a construction of \(\{f_b^\varepsilon \}_{0<\varepsilon \ll 1}\) used in Sect. 4. For convenience, we recall the conditions on \(\{f_b^\varepsilon \}_{0<\varepsilon \ll 1}\):
- (i\('\)):
For all \(0<\varepsilon \ll 1\), \(f_b^\varepsilon (Q)\in [0, \infty )\) for all \(Q\in {\mathcal {Q}}\);
- (ii\('\)):
\(f_b^\varepsilon \) are convex and smooth in \({\mathcal {Q}}\);
- (iii\('\)):
\(f_b^\varepsilon (Q)\le f_b(Q)\) for all \(Q\in {\mathcal {Q}}\).
- (iv\('\)):
Moreover,
$$\begin{aligned} \lim _{\varepsilon \rightarrow 0^+} f_b^\varepsilon (Q) = f_b(Q),\quad \lim _{\varepsilon \rightarrow 0^+} Df_b^\varepsilon (Q) = Df_b(Q) \end{aligned}$$locally uniformly in \({\mathcal {Q}}^{\mathrm {o}}_{phy}\).
Here \(Df_b^\varepsilon (Q)\) denotes the gradient of \(f_b^\varepsilon \) with respect to Q.
Proof of Lemma 4.1
Define
Take \(\varepsilon \ll 1\), such that \({\mathcal {Q}}_{phy}^\varepsilon \) is a non-empty open subset of \({\mathcal {Q}}_{phy}\). Then we define on the entire \({\mathcal {Q}}\) that
It is not difficult to show that \(\{F_b^\varepsilon \}_{0<\varepsilon \ll 1}\) satisfies all the conditions above except for the smoothness issue. Indeed, \(F_b^\varepsilon \equiv f_b\) on \({\mathcal {Q}}_{phy}^\varepsilon \), while outside \({\mathcal {Q}}_{phy}^\varepsilon \), \(F_b^\varepsilon \) is only Lipschitz continuous and \(DF_b^\varepsilon \) exists in the \(L^\infty \)-sense but may not be well-defined pointwise. In particular, for all \(Q_1,Q_2\in {\mathcal {Q}}\),
Note that \(\omega _\varepsilon \rightarrow +\infty \) as \(\varepsilon \rightarrow 0^+.\)
We shall make a little modification of \(\{F_b^\varepsilon \}\) to construct smooth \(\{f_b^\varepsilon \}\). Let \(\phi \) be a non-negative \(C_0^\infty \)-mollifier in \({\mathcal {Q}}\) supported on the unit ball, such that \(\int _{\mathcal {Q}}\phi (Q)\,dQ = 1\). Then we define
We derive that for arbitrary \(Q\in {\mathcal {Q}}\),
In the first inequality, we used the fact that \(\phi \) is non-negative and normalized; in the second inequality, we applied (D.1) as well as that \(\phi \) is supported on the unit ball in \({\mathcal {Q}}\). (D.2) implies that \(F_b^\varepsilon (Q)-2\varepsilon \le f_b^\varepsilon (Q)\le F_b^\varepsilon (Q)\le f_b(Q)\).
It is then easy to verify that \(\{f_b^\varepsilon \}_{0<\varepsilon \ll 1}\) satisfies all the conditions we need. \(\square \)
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Geng, Z., Tong, J. Regularity of minimizers of a tensor-valued variational obstacle problem in three dimensions. Calc. Var. 59, 57 (2020). https://doi.org/10.1007/s00526-020-1717-7
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DOI: https://doi.org/10.1007/s00526-020-1717-7