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The geometric Dirac heat parametrix has a graph-norm remainder

Statement

Assume full AC and the closed hypotheses of The Dirac heat trace is smooth and its supertrace equals the index. In normal coordinates and radial parallel transport near the diagonal, let ht(x,y)=(4πt)−n/2e−d(x,y)2/(4t) and define u0,u1,… by the heat-transport recursion below. After a cutoff supported inside the injectivity-radius neighborhood, for every r,b,N≥0 there is J such that the parametrix HJ(t,x,y)=χ(x,y)ht(x,y)∑j=0Jtjuj(x,y) satisfies ∥Kt−HJ(t)∥CxrCyb≤Cr,b,NtN(0<t≤1). Thus the local heat expansion has a uniform differentiated remainder of arbitrary order; no convergence of rescaled global kernels is assumed.

Facts & Assumptions

[F1]

P=∇∗∇+R0 is a nonnegative Laplace-type operator on compact boundaryless M, with exact H2 domain and estimates ∥u∥Hk+2≤Ck(∥Pu∥Hk+∥u∥2) (Lichnerowicz formula for a geometric Dirac operator, Compact Laplace-type bundle operators: regularity and shifted parametrices).

[F2]

Kt is the smooth kernel of e−tP, converges to the identity on smooth data, and the spectral semigroup is contractive on every graph norm of (1+P)a (The Dirac heat trace is smooth and its supertrace equals the index, Spectral theorem for compact self adjoint operators).

[A1]

Full AC is used through [F1]–[F2] (The Axiom of Choice).

Proof

Given: A geodesically convex neighborhood of the diagonal, its normal coordinates, and the operator P.

1.1F1givenconstructalgebra

Fix y and use geodesic normal coordinates x centered at y. Parallel transport identifies fibers with Vy; write g(x)=det⁡(gij(x)). Set u0(x,y)=g(x)−1/4τy→x, where τ is radial parallel transport. For j≥1, solve (r∇∂r+j+r4∂rlog⁡g)uj=−Puj−1. Multiplying by g1/4 and transporting back to Vy turns this into (r∂r+j)vj=−g1/4τ−1Puj−1. The unique smooth solution is vj(r,θ)=−∫01sj−1(g1/4τ−1Puj−1)(sr,θ) ds; substitution and differentiation verify the equation, and smoothness at r=0 excludes the singular homogeneous term Cr−j. Hence each uj is smooth in both variables on a smaller normal neighborhood.

2.1givenstep 1.1algebra

The identity (∂t+P)(ht∑j=0Jtjuj)=tJhtbJ(x,y) follows by differentiating the Gaussian and using the displayed recursion to cancel each power tj−1; bJ is smooth with bounded derivatives on the smaller neighborhood. Choose χ=1 near the diagonal and supported inside the normal neighborhood. Derivatives of χ are supported where d(x,y)≥δ>0; for any integers q,s, t−qe−δ2/(4t)≤Cq,sts, so all fixed derivatives of the cutoff error are O(ts). Near the diagonal each fixed derivative of tJhtbJ loses only finitely many powers of t, so increasing J makes its required Sobolev norms O(tN) to any prescribed order.

3.1F2step 2.1construct

The initial operator HJ(t) tends to the identity on smooth sections: in normal coordinates put x=tz in its integral; u0(y,y)=I, g(y)=1, and the normalized Gaussian integrates to one, while the terms tjuj for j>0 vanish. For RJ=(∂t+P)HJ, variation of constants gives e−tP−HJ(t)=−∫0te−(t−s)PRJ(s) ds; differentiating e−(t−s)PHJ(s) and using the zero initial difference proves the identity and its sign.

4.1A1F1F2step 2.1step 3.1

For each integer a, the graph norm ∥(1+P)au∥2 is equivalent to ∥u∥H2a by repeated [F1] elliptic estimates. The semigroup e−tP is a contraction in that graph norm because its spectral multiplier is e−tλ∈[0,1] and commutes with (1+P)a. The bounds of step 2.1 therefore make the integral in step 3.1 O(tN+1) in Hx2aCyb, after choosing J large enough. Choose 2a>r+n/2 and Sobolev embedding to obtain the claimed CxrCyb estimate. Differentiating the Duhamel identity finitely many times costs only finitely many powers of t, which are absorbed by increasing J.

5.1A1F1F2step 1.1step 4.1∎

The distance function is used only inside the normal neighborhood, where squared distance is smooth; the cutoff vanishes before the cut locus. Empty M is vacuous, and dimension zero is finite-dimensional heat evolution. This proves the differentiated remainder without invoking Nicolaescu's deferred expansion criterion or Wernli's unproved rescaling limit.

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