Local Taylor estimates for the four-dimensional Green kernel #
The derivative formulas in GreenRemainder are stated at the origin of a
coordinate line. The reduction in paper (4.9), however, needs derivatives
at every point of a short segment. This file first transports those
formulas to an arbitrary parameter on a coordinate line and then proves a
one-dimensional quadratic Taylor estimate from the Hessian bound.
The hypotheses of the Green-kernel theorem are geometric: the whole coordinate segment must stay in the open principal cube and a positive distance from the singularity. No Taylor estimate is assumed.
A scalar Taylor estimate #
A scalar function whose second derivative is bounded on the unordered
interval between a and b has a quadratic first-order Taylor remainder.
The constant 1 (rather than the sharp 1/2) is convenient for the
paper's ≲ estimates and follows directly from two applications of the
mean-value inequality.
The classical closed-interval Lipschitz estimate, stated with derivatives only on the open interval.
Closed-interval variant of the scalar Taylor estimate. Derivatives
are required only in the open interval; continuity of f and f'
identifies the one-sided derivatives at the endpoints. This is the
form needed when a Green coordinate path ends on a fundamental-cell
face.
Reverse-orientation form of the closed-interval Taylor estimate. The
factor 2 pays for moving the linearization point from the left endpoint
to the right endpoint.
Coordinate-line transport #
Green-kernel Taylor estimate on one coordinate segment #
Coordinate-line Taylor estimate with an explicit Hessian majorant.
The preceding Taylor estimate with its Hessian bound discharged from
the explicit |x|⁻⁴ estimate. The radius hypothesis says that the whole
coordinate segment stays at Euclidean distance at least r from the
singularity.
The four-coordinate rectangular path #
The corner obtained by replacing the first k coordinates of a by
the corresponding coordinates of b. The five values k = 0, ..., 4
form the rectangular path used below.
Instances For
Consecutive corners differ by exactly one coordinate line.
Exact telescoping of a function along the four-coordinate rectangular path.
Prefix form of the telescoping identity.
The coordinate expression for the linear Taylor term at a.
Equations
- Anderson4D.coordinateLinearTerm df a b = ∑ i : Fin Anderson4D.dim, df a i * (b i - a i)
Instances For
Exact decomposition into the four one-coordinate Taylor remainders and the cost of moving the gradient from each intermediate corner back to the initial point.
The ℓ¹ length of the displacement used by the rectangular path.
Equations
- Anderson4D.coordinateL1Dist a b = ∑ i : Fin Anderson4D.dim, |b i - a i|
Instances For
A quantitative rectangular-path Taylor lemma. It separates the two analytic inputs needed later:
- a quadratic remainder on each coordinate edge;
- a Lipschitz estimate comparing the gradient at an intermediate corner to the gradient at the initial point.
For the Green kernel, both inputs follow from its Hessian estimate.
Moving the Green gradient along the rectangular path #
A coordinate entry of the Green gradient is Lipschitz along one coordinate segment, with the Lipschitz constant supplied by the singular Hessian estimate.
One edge of the rectangular path, in the form used to compare intermediate gradients.
Every intermediate rectangular-path gradient differs from the initial
gradient by at most the Hessian constant times the full ℓ¹ path length.
The proof uses the exact prefix telescope and then enlarges the prefix to
all four nonnegative edge contributions.
Four-dimensional local Taylor estimate for the Green kernel. All
analytic hypotheses are now geometric: every edge of the rectangular path
stays in the open principal cube and at distance at least r from the
singularity.
Torus-valued endpoints #
Torus form of the rectangular Taylor estimate. The hypotheses expose
the exact chart-safety facts which a later geometric region decomposition
must establish; the conclusion is already about greenFn, not an
auxiliary Euclidean kernel.
Periodicity of the differentiated lattice sum #
The full scalar lattice sum. This representation is used only to control limits at the boundary of the half-open fundamental cell.
Equations
Instances For
The full first-derivative lattice sum. Unlike the zero-plus-remainder
presentation of greenLocalGrad, this form makes periodic reindexing
transparent.
Equations
- Anderson4D.fullLatticeGreenGrad x i = ∑' (k : Anderson4D.Z4), Anderson4D.latticeBesselGrad x k i
Instances For
The full second-derivative lattice sum.
Equations
- Anderson4D.fullLatticeGreenHess x i j = ∑' (k : Anderson4D.Z4), Anderson4D.latticeBesselHess x k i j
Instances For
Real representative of an integer period shift.
Equations
- Anderson4D.realPeriodShift m i = 2 * Real.pi * ↑(m i)
Instances For
The pulled-back Green value is globally periodic, directly from the quotient definition.
A closed fundamental cell differs from the half-open canonical cell
only at coordinates equal to π. The following explicit replacement is
useful for transporting identities to those boundary faces.
The full scalar lattice sum agrees with the pulled-back Green kernel also on the closed faces of the principal cube.
The two boundary representatives -π and π give the same Green
gradient. This is the gluing identity needed when a short coordinate
segment wraps around the fundamental cell.
One-dimensional continuity up to the cell boundary #
The Taylor path may meet a face of the closed principal cube. The following lemmas give the missing endpoint continuity directly from the uniformly summable lattice series. They deliberately concern a single coordinate line; this is exactly what is needed to glue the finitely many pieces of a wrapped rectangular path.
Coordinate derivative of the pulled-back Green kernel at a point of the closed cell whose moving coordinate is not on a face. Other coordinates are allowed to lie on faces.
Taylor estimate on a coordinate interval contained in the closed principal cell. The endpoints may lie on cell faces; only interior points must have their moving coordinate in the open cell.
Gradient Lipschitz estimate on the same closed coordinate interval.
Reverse traversal of a closed coordinate interval, linearized at the right endpoint.