PDE: Elliptic Theory¶
Job: develop the frontier of elliptic regularity — Schauder estimates (Gilbarg–Trudinger) for \(C^{k,\alpha}\) coefficients, De Giorgi–Nash–Moser Hölder regularity for measurable coefficients, Calderón–Zygmund \(L^p\) estimates, and the Krylov–Safonov / Evans–Krylov theory for fully nonlinear equations — with sharp hypotheses on coefficients and the regularity each hypothesis yields.
Core¶
Schauder theory¶
Let \(L=a^{ij}(x)\partial_{ij}+b^i(x)\partial_i+c(x)\) be uniformly elliptic on \(\Omega\subset\mathbb{R}^n\), with coefficients \(a^{ij}\in C^{k,\alpha}(\overline\Omega)\) (Hölder continuous of exponent \(\alpha\in(0,1)\)) and lower-order coefficients in \(C^{k,\alpha}\).
Theorem (Schauder interior estimates, Gilbarg–Trudinger). If \(u\in C^2(\Omega)\) solves \(Lu=f\) with \(f\in C^{k,\alpha}(\Omega)\) and the coefficients are in \(C^{k,\alpha}\), then \(u\in C^{k+2,\alpha}_{\mathrm{loc}}(\Omega)\) and for every compact \(K\subset\Omega\), $$ |u|{C^{k+2,\alpha}(K)}\le C\bigl(|f|+|u|}(\Omega){C^0(\Omega)}\bigr), $$ with \(C\) depending on \((\lambda,\Lambda,\Omega,K,k,\alpha)\) and the \(C^{k,\alpha}\) norms of the coefficients. The global / boundary Schauder estimate holds when \(\partial\Omega\in C^{k+2,\alpha}\) and the boundary data is \(C^{k+2,\alpha}\): $$ |u|\le C\bigl(|f|}(\overline\Omega){C^{k,\alpha}(\overline\Omega)}+|u|\bigr). $$}(\partial\Omega)}+|u|_{C^0
The Schauder theory is the smooth-coefficient regularity: it bootstraps from \(f\in C^{k,\alpha}\) to \(u\in C^{k+2,\alpha}\), gaining two derivatives in Hölder scale. The proof reduces to the model Laplacian on a ball via freezing coefficients, then uses the Poisson representation / Newtonian potential; the key input is the \(C^{2,\alpha}\) estimate for the model problem, which comes from the singular-integral structure of the second derivatives of the Newtonian potential (see See it).
De Giorgi–Nash–Moser¶
For divergence-form equations \(L=-\mathrm{div}(A(x)\nabla)\) with \(A\) uniformly elliptic and bounded measurable (no continuity), Schauder does not apply. The De Giorgi–Nash–Moser theorem gives the substitute:
Theorem (De Giorgi 1957, Nash 1958; Moser 1960–61). Let \(L=-\mathrm{div}(A(x)\nabla)\) be uniformly elliptic with \(A\in L^\infty\) (\(\lambda|\xi|^2\le A\xi\cdot\xi\le\Lambda|\xi|^2\) a.e.) and \(u\in H^1\) solve \(Lu=f\) with \(f\in L^p\), \(p>n/2\). Then \(u\in C^\alpha_{\mathrm{loc}}(\Omega)\) for some \(\alpha=\alpha(n,\lambda,\Lambda,p)>0\), with the estimate $$ [u]{C^\alpha(B\le C\bigl(|u|}){L^2(B_1)}+|f|\bigr), $$ and \(\alpha\) depends only on \((n,\lambda,\Lambda,p)\), not on the smoothness of \(A\). The result holds for both divergence form (De Giorgi) and non-divergence form (Nash; Krylov–Safonov for non-divergence). The Harnack inequality: for \(u\ge 0\) an \(L\)-harmonic in \(B_1\), \(\sup_{B_{1/2}}u\le C\inf_{B_{1/2}}u\) with \(C=C(n,\lambda,\Lambda)\).
The proof (Moser iteration): a Caccioppoli inequality \(\int\eta^2|\nabla u|^2\le C\int|\nabla\eta|^2 u^2\) gives an \(L^\infty\) bound via the John–Nirenberg inequality / BMO; the iteration boosts \(L^p\) to \(L^\infty\) at a rate determined by the ellipticity, and the Harnack inequality follows by applying the bound to \(u\) and \(1/u\). The result is sharp for measurable coefficients: there are counterexamples (Piccinini–Miranda) showing no better than \(C^\alpha\) holds in general.
Calderón–Zygmund \(L^p\) theory¶
Theorem (Calderón–Zygmund). For \(-\Delta u=f\) on \(\mathbb{R}^n\) (or \(\Omega\subset\mathbb{R}^n\) with \(C^{1,1}\) boundary and Dirichlet data), the second-derivative estimate is $$ |D^2 u|{L^p}\le C_p|f|,\qquad 1<p<\infty, $$ with \(C_p\sim p\) as \(p\to\infty\) and \(C_p\sim 1/(p-1)\) as \(p\to 1\). The estimate fails at \(p=1\) and \(p=\infty\): at \(p=1\) the bound is replaced by \(\|D^2u\|_{L\log L}\) (Zygmund); at \(p=\infty\) the bound is replaced by BMO (the second derivatives of \(u\) are in BMO when \(f\in L^\infty\) — the Schauder-via-BMO of the model problem). The constant \(C_p\) is the norm of the Calderón–Zygmund singular integral (the Hessian Riesz transform \(\partial_{ij}\Delta^{-1}\)), which is unbounded on \(L^1\) and \(L^\infty\).
| Coefficient hypothesis | Regularity obtained | Reference |
|---|---|---|
| Smooth (\(C^\infty\)) | \(C^\infty\) (Weyl's lemma); analytic if \(f\) analytic | classical |
| \(C^{k,\alpha}\) | \(C^{k+2,\alpha}\) (Schauder) | Gilbarg–Trudinger |
| Lipschitz (\(C^{0,1}\)) | \(C^{1,\alpha}\) any \(\alpha<1\) (Schauder / bootstrap) | GT |
| Bounded measurable, divergence form | \(C^\alpha\) (De Giorgi–Nash–Moser) | De Giorgi, Moser |
| Bounded measurable, non-divergence | \(C^\alpha\) (Krylov–Safonov) | Krylov–Safonov |
| \(L^p\) RHS, \(C^{1,1}\) domain | \(W^{2,p}\) (Calderón–Zygmund), \(1<p<\infty\) | CZ |
| \(L^\infty\) RHS | BMO for \(D^2 u\); \(C^{1,\alpha}\) via Campanato | CZ / Campanato |
Fully nonlinear elliptic: Krylov–Safonov and Evans–Krylov¶
Theorem (Krylov–Safonov 1979). For the non-divergence-form equation \(a^{ij}(x)u_{ij}=f\) with \(a^{ij}\) bounded measurable uniformly elliptic, solutions are \(C^\alpha\) — the non-divergence-form Harnack inequality \(\sup_{B_{1/2}}u\le C\inf_{B_{1/2}}u\) holds (for \(u\ge 0\) \(L\)-harmonic), with \(\alpha\) depending only on \((n,\lambda,\Lambda)\).
The fully nonlinear case: \(F(D^2u,x)=0\) with \(F\) uniformly elliptic (\(F\) concave or convex in \(D^2u\) for the regularity theory).
Theorem (Evans 1978, Krylov 1982). If \(F\) is uniformly elliptic and concave (or convex) in \(D^2u\), and \(u\) is a viscosity solution of \(F(D^2u)=0\), then \(u\in C^{2,\alpha}_{\mathrm{loc}}\) for some \(\alpha>0\). The proof uses the Krylov–Safonov Harnack for the linearized equation (the difference quotient \(w=u(\cdot+h)-u\) satisfies a uniformly elliptic linear equation with measurable coefficients, to which Krylov–Safonov applies) plus a Jensen-convexity argument exploiting the concavity of \(F\). This is the frontier regularity for fully nonlinear elliptic — the Monge–Ampère equation \(\det D^2u=f\) for \(f>0\) (convex \(u\)) is the key application (Caffarelli–Gutiérrez, Caffarelli–Cabrè), giving the Calabi–Yau / affine geometry regularity (see complex-geometry/Kähler).
The open frontier: for non-concave \(F\), the Evans–Krylov \(C^{2,\alpha}\) fails in general — Nadirashvili–Vlăduţ constructed counterexamples (singular solutions of uniformly elliptic fully nonlinear equations) showing \(C^{2,\alpha}\) fails without the concavity hypothesis. The optimal regularity for general \(F\) is a current research problem.
See it¶
The \(W^{2,p}\) Poisson estimate via the Newtonian potential and the Calderón–Zygmund singular integral; the \(p=1,\infty\) failure. For \(-\Delta u=f\) on \(\mathbb{R}^n\) with \(f\in L^p\) compactly supported, the solution is the Newtonian potential \(u=\Phi\ast f\) with \(\Phi(x)=c_n|x|^{2-n}\) (\(n\ge 3\)); differentiating twice,
The kernel \(K_{ij}(z)\) is homogeneous of degree \(-n\) (a Calderón–Zygmund singular kernel), and the principal-value operator \(T_{ij}:f\mapsto\mathrm{p.v.}K_{ij}\ast f\) is a Calderón–Zygmund singular integral. The \(L^p\) bound \(\|D^2u\|_{L^p}\le C_p\|f\|_{L^p}\) for \(1<p<\infty\) is the Calderón–Zygmund theorem: \(T_{ij}\) is bounded on \(L^p\) for \(1<p<\infty\). The failure at \(p=1,\infty\): \(T_{ij}\) is unbounded on \(L^1\) and \(L^\infty\) — concretely, for the 1D analog (the Hilbert transform \(Hf=\mathrm{p.v.}\frac{1}{\pi}\int\frac{f(y)}{x-y}dy\)), \(H\chi_{[0,1]}=\frac{1}{\pi}\log|\frac{x}{x-1}|\) is unbounded at \(0,1\), so \(\|H\chi_{[0,1]}\|_\infty=\infty\) while \(\|\chi_{[0,1]}\|_1=1\). The same phenomenon occurs in higher dimensions: the Hessian Riesz transform amplifies \(L^\infty\) functions to unbounded ones, so the \(L^\infty\) bound fails, and is replaced by the BMO estimate (\(D^2u\in\mathrm{BMO}\) when \(f\in L^\infty\)) via the John–Nirenberg inequality. The \(p=1\) failure is replaced by \(\|D^2u\|_{L\log L}\le C\|f\|_{L^1}\) (Zygmund class). This single computation — the Hessian Riesz transform is a Calderón–Zygmund singular integral, unbounded at \(L^1,L^\infty\) but bounded on \(L^p\) for \(1<p<\infty\) — is the operational content of the Calderón–Zygmund \(L^p\) theory and the reason for the \(p\ne 1,\infty\) restriction.
Check¶
Why does the Schauder estimate require \(C^{k,\alpha}\) coefficients rather than merely bounded measurable, and identify the regularity gain lost when passing to measurable coefficients.
The Schauder estimate \(\|u\|_{C^{k+2,\alpha}}\le C(\|f\|_{C^{k,\alpha}}+\|u\|_{C^0})\) gains two Hölder derivatives from the coefficients: \(f\in C^{k,\alpha}\Rightarrow u\in C^{k+2,\alpha}\). The proof freezes the coefficients at a point \(x_0\), reduces to the constant-coefficient Laplacian \(\Delta u_{x_0}=f-a^{ij}(x_0)\partial_{ij}u\) on a small ball, and uses the Newtonian-potential / Poisson representation — the error is controlled by the \(C^{k,\alpha}\) modulus of the coefficients, which requires the \(C^\alpha\) modulus. With merely bounded measurable coefficients, the error cannot be controlled by a modulus, the Newtonian representation breaks, and the gain is only \(C^\alpha\) (De Giorgi–Nash–Moser): two derivatives in Hölder scale are lost (one gets \(C^\alpha\) instead of \(C^{2,\alpha}\)). The lost regularity is the price of the measurable-coefficient hypothesis; it is intrinsic, not technical (counterexamples show no better than \(C^\alpha\) holds in general for measurable coefficients).
Sketch why the Evans–Krylov \(C^{2,\alpha}\) estimate for fully nonlinear concave \(F\) reduces to the Krylov–Safonov Harnack for a linear equation, and identify the role of concavity.
The strategy: take two solutions \(u\) and \(v\) of \(F(D^2u)=0\); the difference \(w=u-v\) satisfies a linear equation \(a^{ij}(x)w_{ij}=0\) where \(a^{ij}(x)=\int_0^1\partial_{ij}F(tD^2u+(1-t)D^2v)\,dt\) (by the mean-value theorem, using the concavity / convexity of \(F\) to ensure the \(a^{ij}\) are uniformly elliptic — the ellipticity of the interpolated Hessian is controlled by the ellipticity of \(F\) and the concavity ensures the integral is a uniformly elliptic matrix). The linear equation for \(w\) has measurable coefficients (depending on \(u,v\)), so Krylov–Safonov gives \(w\in C^\alpha\). To upgrade to \(u\in C^{2,\alpha}\), one applies this to second difference quotients \(w_h=u(\cdot+h)+u(\cdot-h)-2u(\cdot)\) (which satisfy a related linear equation) and uses a Jensen-convexity argument exploiting the concavity of \(F\) to obtain a uniform \(C^{2,\alpha}\) bound on \(u\). The concavity is essential: it guarantees the interpolated Hessian matrix \(a^{ij}\) is uniformly elliptic (for non-concave \(F\) the interpolation can degenerate, and the argument fails — the Nadirashvili–Vlăduţ counterexamples exploit this).
Pitfalls¶
- Schauder needs \(C^{k,\alpha}\) coefficients: bounded measurable is insufficient for Schauder; the substitute is De Giorgi–Nash–Moser, giving only \(C^\alpha\) (a loss of \(2\) derivatives in Hölder scale). Conflating the two regimes is the standard error.
- Calderón–Zygmund fails at \(p=1,\infty\): the Hessian Riesz transform is a CZ singular integral unbounded on \(L^1,L^\infty\); the substitutes are \(L\log L\) (for \(p=1\)) and BMO (for \(p=\infty\)). Citing \(\|D^2u\|_{L^\infty}\le C\|f\|_{L^\infty}\) is wrong.
- De Giorgi–Nash–Moser gives only \(C^\alpha\) for measurable coefficients: the exponent \(\alpha\) depends on \((n,\lambda,\Lambda)\) and is typically small; do not expect \(C^1\) or higher without further coefficient regularity.
- Fully nonlinear regularity needs concavity: the Evans–Krylov \(C^{2,\alpha}\) requires \(F\) concave or convex; non-concave \(F\) has counterexamples (Nadirashvili–Vlăduţ) to \(C^{2,\alpha}\). The Monge–Ampère \(\det D^2u=f\) regularity uses the concavity of \(\det^{1/n}\) on positive matrices.
- Krylov–Safonov is non-divergence form: it is the non-divergence analog of De Giorgi–Nash–Moser; the divergence-form Harnack (Moser) and non-divergence Harnack (Krylov–Safonov) are different theorems with different proofs.
Refs¶
- Gilbarg–Trudinger, Elliptic PDE of Second Order (Schauder, De Giorgi–Nash–Moser, Krylov–Safonov)
- Stein, Singular Integrals; Grafakos, Classical / Modern Fourier Analysis (Calderón–Zygmund)
- Caffarelli–Cabrè, Fully Nonlinear Elliptic Equations; Krylov, Nonlinear Elliptic and Parabolic Equations of Second Order
- Han–Lin, Elliptic PDE (modern textbook treatment)
Next¶
Dispersive & Wave · Navier–Stokes · Calculus of Variations · PDE index · Foundations · Functional analysis · Microlocal analysis · Complex geometry / Kähler · Function spaces — Sobolev/Besov/TL spaces and interpolation for PDE