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Analytic Cauchy data on small polydiscs

Original exposition and proofs: GPT-6 Astra (OpenAI), October 2026. CC0.

A differential equation can lose derivatives at each successive substitution. For analytic functions, the distance to the complex boundary measures this loss. Integration with zero initial data supplies an opposing gain. Keeping both estimates at the same boundary weight gives a convergent construction with an explicit domain and error bound.

We first solve a mixed derivative problem with data on several coordinate faces. A thin rescaling then gives the local analytic Cauchy theorem on a noncharacteristic coordinate hyperplane. The coefficients may be complex and need not have real characteristic roots.

Throughout this lesson means the ordinary complex derivative, without a factor of . Put Here , and a multiindex has nonnegative integer entries. Norms are suprema over the indicated open domains and are used only when finite.

The supplied complex contour proofs, Sections 16.1–16.3, prove the circle formula, every Cauchy derivative estimate, joint power series on products of disks, parameter integration and convergence of all derivatives under locally uniform holomorphic convergence. Their scalar calculus and integration foundations provide the real integrals and uniform convergence used below.

Rectangular primitives and their face data

For a fixed , the zero face conditions are Each equality holds as a function of all remaining variables. There is no condition in a coordinate with .

Lemma 1 (the rectangular inverse). For every holomorphic on , there is a unique holomorphic there with and (A2). For , it is If is bounded, then For , the integral is empty, is the identity and there are no face conditions.

Proof. In one coordinate let . On each compact subpolydisc, the integral and all differentiated integrands are bounded. The contour prerequisite therefore proves holomorphy. The one-variable primitive formula gives , and at .

Repeated integration in that coordinate gives To check the factor, write the repeated integrals as integrals over , integrate the outer variables for fixed , and use their simplex volume . That volume follows by induction from integrating . Compact absolute bounds justify every interchange. Primitives in different coordinates commute by the same finite Fubini argument. Thus , which proves (A3), its equation and all face conditions. Integrating each weight gives , proving (A4).

For uniqueness, expand a homogeneous solution as its joint Taylor series at the origin. Condition (A2) makes the coefficient of zero whenever some : choose in that face condition and compare the remaining Taylor coefficients. For , the coefficient in is , so it too vanishes. The function vanishes near zero and hence throughout the polydisc. The joint identity principle used here follows directly from the joint Taylor expansion: the set of points with a zero neighborhood is open; at a limit point, continuity of every derivative makes all Taylor coefficients zero, so it is relatively closed. Connectedness finishes the argument. This also proves uniqueness for germs.

Two estimates at a fixed boundary weight

The next primitive estimate deliberately keeps the exponent unchanged. The resulting factor will cancel the derivative cost.

Lemma 2 (a weighted primitive). Suppose is holomorphic on the unit disk, , , and Then

Proof. Integrate along the radial segment to a point of modulus . The bound is . For , multiplication by , with , gives Indeed this expression vanishes at the endpoints ; its unique interior maximum occurs at , where its value is . For , the expression is , whose maximum is , by differentiation. This proves (A6), including .

Lemma 3 (a weighted derivative). If is holomorphic on the unit disk and then

Proof. Fix , put , and apply the circle derivative formula on a circle of radius about : For , take . The resulting constant is , because for ; that inequality follows by integrating . For , let in (A9), obtaining the stronger bound .

These proofs apply with the other variables held fixed. In particular, if successive applications of Lemma 3 give Empty products equal one. This is an induction over the total number of differentiations; each step raises exactly the exponent and factor belonging to its differentiated coordinate. Likewise, applying Lemma 2 once to each primitive in (A3) gives Every intermediate primitive has zero value on the face of its current integration coordinate, so each application has its required zero initial value.

A convergent construction with a quantitative remainder

Theorem 4 (small analytic perturbations of a mixed derivative). Let . Let all , , and be bounded holomorphic functions on . Define If , there is a unique holomorphic solution on of It obeys Uniqueness also holds among analytic solution germs at zero with these data.

Proof: control every increment. Define holomorphic functions on by Lemma 1 does not require bounded forcing for its existence assertion, so every step is defined on the entire open polydisc. Put and . We claim At , this is (A4). Suppose it holds at , and set . For every , (A10) bounds every factor by . Also in each coordinate. Since , enlarging the derivative factor to its -th power gives Multiplication and summation cost at most , without any differentiation of a coefficient. Apply (A11) to the recurrence . Its factor cancels . The remaining factor proves (A16) at .

On , (A16) gives . Thus When , the convention at is ; for the remainder is zero. The uniformly convergent geometric bound proves the stated norm estimate. The contour prerequisite proves holomorphy and convergence of every derivative on compact subpolydiscs. Passing to the limit in therefore proves (A13). The same derivative convergence on the coordinate faces passes all conditions (A2) to the limit.

Proof: uniqueness includes all analytic germs. Let be a homogeneous solution germ with zero face data. Choose so small that is holomorphic and bounded on . Its equation has coefficients Lemma 1 gives the exact identity . Starting with the bound , repeat the induction (A16) on successive applications of this operator. Every iterate is still , so on it has modulus at most for every . Hence it is zero. If two solutions exist on , their difference is zero near zero; the joint identity principle proved in Lemma 1 makes it zero on the whole domain.

At order , the analogous statement is algebraic: . If , then is holomorphic on and has norm at most . There are no initial conditions, and no use of (A11) with exponent zero is needed.

Thin polydiscs and arbitrary analytic normal data

Distinguish the last coordinate, writing , and let For , there are no tangential inequalities. Consider Write , so .

Theorem 5 (a quantitative analytic Cauchy domain). Suppose the coefficients and are bounded holomorphic functions on , and There is a unique holomorphic solution of on with for . Its norm satisfies Both the tangential radius and the normal radius are halved in this conclusion.

Proof. Set for , , and . Multiplying the equation by gives Indeed each tangential derivative contributes and each normal derivative contributes . The zero normal jets are unchanged after multiplication by these nonzero constants. Condition (A22) makes the in Theorem 4 at most . Its domain is exactly after rescaling. Formula (A14) gives (A23), and its germ uniqueness gives the claimed uniqueness.

Tangential and normal radii, and the certified geometric remainder

The left panel shows the real -slice for , , : the input rectangle has radii , and the output rectangle has radii . The complex domains have the corresponding disk radii in each coordinate. The right panel plots the proved bound from (A18) when . It is a bound, not a measured approximation error. Theorem 5 supplies the domain; Theorem 4 supplies the remainder. Reproducible figure source.

Corollary 6 (local analytic Cauchy existence). Let a scalar differential operator of total order have analytic coefficients near zero in . Suppose the coefficient of is nonzero at zero. For analytic and analytic data near zero, there is a unique analytic solution germ with The statement also holds directly for holomorphic germs.

Proof. A convergent real power series has a holomorphic extension to a sufficiently small complex polydisc: absolute convergence on a smaller polydisc follows from its convergence radius, and termwise differentiation follows on still smaller polydiscs by the same geometric bounds as the contour prerequisite. Use these extensions for all the finitely many coefficients and data. The leading coefficient remains nonzero after shrinking, by continuity; its reciprocal is holomorphic by the quotient differentiation rule. Divide the equation by it, giving (A21) with a correspondingly divided forcing.

Choose so that the closed polydisc lies in the common holomorphic neighborhood. All its coefficients are then bounded there. For with , necessarily . Every exponent of in (A22) is therefore positive. With fixed, the finite weighted coefficient sum tends to zero uniformly as , using the bounds on . Thus some satisfies (A22).

To impose the data, put The polynomial in has exactly the prescribed normal jets. On the chosen closed polydisc, after a further initial shrink if needed, every tangential derivative of the data appearing in is bounded. Hence the residual forcing is bounded on the input polydisc; Theorem 5 supplies with zero normal jets. The same theorem and Theorem 4 give uniqueness of germs. Restriction to real variables gives the real analytic assertion; for real coefficients and real data, conjugating the holomorphic extension and its variables gives another solution with the same jets, so uniqueness makes the restriction real.

If the normalized coefficients already satisfy (A22), the nonzero-data estimate is obtained by replacing in (A23) with and bounding by on the output domain. Bounded values of on an open disk alone do not bound every derivative on that entire disk; choosing a smaller closed input polydisc in the proof is essential.

Exercises with complete solutions

Exercise 1 (basic) — retain every factorial. For and , , compute and check all face data.

Solution. Integrating twice in and once in gives The function and its first -derivative vanish at , and the function vanishes at . Differentiating twice in multiplies by ; differentiating once in multiplies by . These cancel exactly the displayed factorial ratios. For the answer is , explaining the factor in (A4).

Exercise 2 (intermediate) — the radial constant. Find the smallest constant bounding for , when . Why did Lemma 2 use the larger value ?

Solution. For , (A7) attains its maximum at . At the maximum is , attained at . The simpler cancels the -th power of exactly in (A17). Sharpness of this scalar radial integral does not assert sharpness for every holomorphic primitive or for the final PDE constant.

Exercise 3 (intermediate) — a different output radius. Let and . Use (A16) to give a solution bound on , , without requiring .

Solution. On , the product of weights in (A16) is at most . Put . If , the same series and derivative convergence proof gives Equivalently ; such positive radii exist when . The uniqueness proof can use any fixed smaller radius with after scaling the germ to , and the identity principle then gives uniqueness on the full output polydisc. If , all coefficients vanish and on .

Exercise 4 (intermediate) — a sufficient bound need not be necessary. Solve with , for any complex , and determine its domain of holomorphy.

Solution. The series converges uniformly on every compact subset of : the absolute term ratio is at most , which tends uniformly to zero on such a compact set. It is entire, and all derivatives may be taken termwise on compact subsets. The differentiated term is , and reindexing the remaining differentiated terms gives . Both face values vanish. Its Taylor coefficients are forced recursively by the equation and face data, proving uniqueness of an analytic germ and hence of any entire solution with these data. Theorem 4 only gives a sufficient smallness condition; failure of that condition is not a nonexistence conclusion.

Exercise 5 (intermediate) — analytic data for an elliptic equation. Apply the thin-domain criterion to with . Find an admitted , and solve the data , , .

Solution. Here . The sole lower-normal term has , so (A22) is . Thus is admitted. The exact entire solution is , because its second -derivative is itself and its second -derivative is its negative. Its initial derivative is zero. The two principal roots in the normal covariable for nonzero real tangential covariable are nonreal. Corollary 6 nevertheless applies to these analytic data; it makes no assertion of Sobolev stability for arbitrary smooth data.

Exercise 6 (basic) — a characteristic initial surface. For on -space, explain both failure of existence and failure of uniqueness when data are prescribed at .

Solution. Every solution is independent of locally, by the fundamental theorem in that variable. Therefore is impossible. For the datum , both and , and in fact every analytic function of vanishing at zero, solve . The order is one, but the coefficient of is zero. The noncharacteristic hypothesis fails in both cases.

Exercise 7 (advanced) — why the total order matters. Could Corollary 6 be applied as a first-order Cauchy theorem to with ? Decide whether an analytic solution germ exists at .

Solution. The total order is two, while the coefficient of is zero. Treating the normal order one as the total order would violate in (A21). If an analytic germ existed, repeated differentiation of the equation would force . At , this is . The Taylor coefficient in would be , whose successive ratio is , tending to infinity. Its power series has radius zero: for any nonzero , its terms eventually increase in modulus and cannot tend to zero. Restriction of a holomorphic germ to must have positive Taylor radius, a contradiction.

Exercise 8 (intermediate) — finite stopping and nonzero jets. Under (A22), set as in (A26), , and let be the first iterates for the rescaled zero-data equation (A24) with forcing . Give an error bound after scaling back.

Solution. The iteration constant satisfies and its initial bound is . The inverse scaling maps onto , so (A18) gives The polynomial has the exact desired normal jets, and every iterate has zero normal jets. Thus each finite approximation already satisfies the data exactly. It solves the PDE only up to its iteration residual; the displayed bound controls its difference from the actual analytic solution.

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