Submitted:
12 May 2026
Posted:
13 May 2026
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Abstract
We give a constructive high-dimensional escape sequence for the equation (∆ − x ·∇)u = u associated with the symmetric Ornstein–Uhlenbeck operator in Gaussian space. Let (ai)i≥1 be a positive square summable sequence and let Bn = {x ∈ Rn : ∑ni=1 ai2 xi2 < 1}. We construct functions un that are continuous on Rn, smooth on both sides of ∂Bn, solve the positive spectral equation away from ∂Bn, and have finite Gaussian H1 energy. The construction uses a single real harmonic polynomial, Re(x1 +ix2)mn with mn = ⌊n1/8⌋, multiplied by the finite-energy Tricomi branch of the separated radial Ornstein–Uhlenbeck equation and then extended into Bn by the weighted Dirichlet principle. The exterior energy has a lower bound of order (2π)n/2n−1/2(2mn/e)mn, whereas the interior minimizing energy is bounded by (2π)n/2nCCamn. Hence the ratio of total Gaussian H1 energy to the energy inside Bn tends to infinity. The proof is written with all non-standard notation defined explicitly, and two examples, including an ℓ1-small sequence with ∑i ai < 1, are included as checks of the hypotheses.
Keywords:
Ornstein–Uhlenbeck operator
; Gaussian Sobolev space
; transmission problem
; Tricomi function
; harmonic polynomial
; ellipsoid
; Dirichlet principle
; high-dimensional asymptotics
MSC: 35J15; 35J25; 35R15; 46E35; 33C15; 60G15
1. Introduction
The finite-dimensional Ornstein–Uhlenbeck operator
is the symmetric diffusion generator associated with the standard Gaussian measure. With respect to the normalized measure , it is self-adjoint and non-positive on its natural domain. The operator is a central object in Gaussian Sobolev spaces, Gaussian Dirichlet forms, and finite- and infinite-dimensional Ornstein–Uhlenbeck semigroup theory; standard references include Bogachev’s survey on Ornstein–Uhlenbeck operators and semigroups [1], the Dirichlet-semigroup work of Da Prato and Lunardi [2], and the finite-dimensional survey of Lunardi, Metafune and Pallara [3].
This paper studies the positive spectral equation
Because is non-positive in the global Gaussian energy space, (2) has no non-zero global finite-energy solution. Exterior-domain solutions are different: the finite-energy exterior branch may be singular at a point hidden inside the obstacle. We exploit this observation for ellipsoidal obstacles whose axes are determined by a square-summable sequence.
Let and assume
For each , define
The boundary is a smooth ellipsoid. We consider the transmission class
No normal-flux matching is imposed at . The goal is to construct such that
and
The construction in this version uses only one angular mode. For we take the real harmonic polynomial
Multiplying by the Tricomi branch of the separated radial equation gives an explicit exterior solution. The boundary trace is then extended into as the minimizer of the weighted Dirichlet energy. The proof is organized so that every estimate used in the final ratio is stated separately: a separated-solution lemma, a radial Tricomi multiplier lemma, an exterior lower bound, and an interior trace-capacity upper bound.
2. Notation and Main Result
Throughout the paper
denotes the unnormalized Gaussian measure. The normalization factor is deliberately omitted because it cancels in all ratios. For a measurable set and a weakly differentiable function v, define
The symbol C denotes a positive constant whose value may change from line to line. Constants may depend on the fixed sequence but never on n or on the degree unless this dependence is explicitly stated.
Since and , the two constants
are finite. The number is used only for . The case is immaterial for the limiting statement and can be filled by any one-dimensional exterior branch with its variational interior extension.
Theorem 1
(Constructive escape sequence). Let and . There exist functions such that for every n and
For , one may take and construct the exterior part from the harmonic polynomial . More precisely, there are constants such that, for all sufficiently large n,
Consequently the quotient in (12) is bounded from below by
which tends to .
3. The Weighted Dirichlet Principle
Let be a bounded domain. For smooth functions on , Gaussian integration by parts gives
where is the outward Euclidean unit normal. Hence the bilinear form
is coercive on the weighted Sobolev space . If g is the trace of at least one function, the direct method gives a unique minimizer of among all functions with trace g. Its Euler–Lagrange equation is
in the weak sense. Since is smooth, standard elliptic regularity implies that the minimizer is in and continuous up to whenever g is smooth. This is the only variational ingredient used for the interior part of the construction.
4. Separated Ornstein–Uhlenbeck Solutions
We recall the separated form of the finite-energy branch of (2). Let be a homogeneous harmonic polynomial of degree m in . In the construction below, is the real part of , but the separation calculation is general.
Lemma 1
(Tricomi radial branch). Let and . Put
and define
where is Tricomi’s confluent hypergeometric function. Then
satisfies on , is normalized by , and has finite Gaussian energy on every exterior region , .
Proof.
Write with and . The polar form of gives
Taking , the equation becomes
The following estimate is the technical point where the high-dimensional normalization at is used. It is a standard consequence of the integral representation and Laplace estimates for U; details are included to fix constants and remove ambiguity about the inward growth of the irregular branch.
Lemma 2
(Radial multiplier bounds). Fix . There are constants depending on but independent of n and m such that, whenever and , the following hold.
(a)If , then, for all ,
(b)Uniformly for ,
(c)With as in (4),
Proof.
For and , Tricomi’s function admits the positive integral representation
which is recorded in the DLMF integral-representation section for confluent hypergeometric functions [5]. Apply (26) with , , and . The exponent in the integrand is
Laplace’s method, uniformly for , gives the comparison between and the normalization point :
For the maximum of (27) does not exceed the maximum at up to the factor ; for the difference of the leading maxima is , again with an and polynomial error. This proves the bound for in (23). Differentiating U under the integral, or equivalently using , gives the derivative estimate in the same form.
For (24), set with . The logarithmic derivative obtained from (26) is uniformly in this interval, and the mean-value theorem gives (24).
It remains to justify (25). On one has . Hence (23) applies. In polar coordinates with , the Gaussian radial density is
where is of polynomial size after the total mass is factored out, by Stirling’s formula. Squaring (23) cancels at most the large-deviation exponent in (29) for and does not create growth for . Since means , the remaining radial integral is bounded by . The angular proportion of the set is at most one, so (25) follows. The derivative term is covered by the derivative part of (23) and the same calculation. □
5. Exterior Lower Bound
For let
and define the exterior field
Let
For large n, the set
is contained in , because .
Proposition 1
(Exterior energy lower bound). There is such that, for all sufficiently large n,
Proof.
The part of the energy is enough. By Lemma 2(b), on the one-unit shell for large n. Hence
For , one has . The angular subset has positive measure independent of m. Therefore
The last inequality follows by integrating over .
For every z with and , Stirling’s formula and the local form of the density give
6. Interior Extension and Trace-Capacity Bound
The boundary trace used for the transmission construction is
Let be the unique minimizer of among all functions with trace . Equivalently,
The next estimate controls the minimizing energy from above by testing against a cutoff of the exterior field.
Proposition 2
(Interior energy upper bound). There is a constant such that, for all sufficiently large n,
Proof.
Choose satisfying
Define the admissible interior competitor
Since , the trace of on is . By the Dirichlet principle,
The support of is contained in . On this set,
Moreover
Lemma 2(c) gives
Renaming the base of the exponential constant proves (40). □
7. Construction and Proof of the Main Theorem
For , define
where is given by (31) and by (39). For , choose any finite-energy one-dimensional construction of the same type; for instance, use the degree-zero Tricomi branch on and the corresponding variational interior extension. This finite initial choice has no effect on the limit.
Proposition 3
(Membership and finite energy). For every n, the function defined by (48) belongs to and satisfies .
Proof.
The two pieces agree continuously on because both have trace . The interior piece is smooth in by elliptic regularity. The exterior piece is smooth on because contains the Euclidean ball , while the only possible singularity of the Tricomi branch in Lemma 1 is at the origin. Both pieces solve in their respective domains. The interior energy is finite by Proposition 2. The exterior energy is finite by Lemma 1, applied with . □
Proof
(Proof of Theorem 1). Proposition 3 gives and finite energy. Proposition 1 and Proposition 2 give, for all sufficiently large n,
Since , the logarithm of the last factor is
Therefore (12) follows. □
8. Examples and Checks
The theorem applies to every positive sequence. The constants in the proof depend only on and on the finite number ; no lower bound on the remaining axes is needed.
Example 1
(The benchmark sequence ). Let
Then , , and
For all n with , the exterior test region in (33) is contained in , since on . The exterior growth is at least , while the interior trace cost is at most . Thus the ratio still diverges even though is larger than one.
Example 2
(An -small sequence). Let
Then
Here , , and therefore
The proof is unchanged. Once , the same exterior region lies outside the ellipsoid because on . This example shows explicitly that the construction is not a consequence of a large or mean-volume size of the ellipsoid: the sequence is small in both and , but the two-coordinate harmonic spike still creates exterior energy that is super-exponential in relative to the interior cost.
The preceding examples also provide a simple way to reproduce the proof numerically. The two-dimensional part of the exterior lower bound is the explicit integral
which satisfies . The companion script included with the source package evaluates the constants in Table 1 and the integral (56) for sample values of m.
9. Discussion
The construction separates three points that are important for interpreting (7). First, the equation is a positive spectral equation. The finite-energy exterior solution is therefore necessarily irregular somewhere; in this construction the singularity is at the origin, and the ellipsoid contains a fixed Euclidean ball around the origin. Second, the class imposes continuity across but not equality of conormal derivatives. The distributional normal jump at the interface is part of the transmission mechanism. Third, the square-summability assumption (3) is used only to guarantee a uniform inner ball and bounded coefficients; the exterior amplification itself is generated by the first two coordinates through the harmonic polynomial .
The use of a single harmonic mode also avoids possible cancellation issues in high-degree spherical-polynomial expansions. On the Gaussian shell , the radial Tricomi multiplier is close to one, so the exterior lower bound reduces to an elementary two-dimensional integral. On the ellipsoid, the first two coordinates are uniformly bounded, so the boundary trace grows only exponentially in . Since grows like , the exterior energy eventually dominates every exponential trace cost of the form and every fixed polynomial in n.
10. Conclusions
For every positive square-summable sequence , we constructed a sequence with finite Gaussian energy such that the total energy divided by the energy inside the ellipsoid diverges. The exterior field is explicit: a real harmonic polynomial in the first two coordinates multiplied by the normalized Tricomi branch of the separated Ornstein–Uhlenbeck equation. The interior field is canonical: the weighted-energy minimizer with the same boundary trace. The proof gives quantitative lower and upper bounds, and the two examples show that the mechanism works both for a standard sequence and for an -small geometric sequence.
Author Contributions
Conceptualization, Y.Y.; methodology, Y.Y.; formal analysis, Y.Y.; writing—original draft, Y.Y.; writing—review & editing, Y.Z.; supervision, Y.Z. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No external datasets were used. The numerical values and deterministic constants in Section 8 are reproducible from the formulas stated in the manuscript; a short companion script is included in the source package.
Acknowledgments
The author thanks the maintainers of the NIST Digital Library of Mathematical Functions for the special-function references used in the separated-variable construction.
Conflicts of Interest
The authors declare no conflicts of interest.
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Table 1.
Deterministic checks of the constants appearing in the two examples. The threshold is the smallest integer m for which , ensuring whenever .
Table 1.
Deterministic checks of the constants appearing in the two examples. The threshold is the smallest integer m for which , ensuring whenever .
| Sequence | Threshold for | ||
|---|---|---|---|
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