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Products, Scaling Degree, and Extensions of Singular Distributions

Distributions do not form an algebra. A product exists only when an independent construction licenses it—for example, multiplication by a smooth function, an integrable product of regular representatives, or a diagonal pullback satisfying a microlocal condition. If an expression is already a distribution away from a coincidence point and has finite scaling degree, it can be extended across that point without worsening its scaling degree. The extension is unique below the dimensional threshold; at and above the threshold, its finite ambiguity is a sum of delta derivatives.

Required background. Test-Function Spaces, Distributions, Support, and Convergence supplies test-space duality, distributional convergence, and support.

Helpful background. Limits, Completeness, and Modes of Convergence supplies the topology and limit-interchange discipline used to interpret regularized extensions.

The page develops the reusable extension method, not the Epstein–Glaser induction that uses it and not the physical choice of counterterms or renormalization conditions.

Why two distributions cannot simply be multiplied

Section titled “Why two distributions cannot simply be multiplied”

For aC(Ω)a\in C^\infty(\Omega) and uD(Ω)u\in\mathcal D'(\Omega), smooth multiplication is defined by

au,φ=u,aφ.\langle au,\varphi\rangle = \langle u,a\varphi\rangle.

The test function aφa\varphi remains smooth and compactly supported. If f,gLloc1(Ω)f,g\in L^1_{\mathrm{loc}}(\Omega) and their ordinary product also satisfies fgLloc1(Ω)fg\in L^1_{\mathrm{loc}}(\Omega), then

ufg,φ=Ωf(x)g(x)φ(x)ddx\langle u_{fg},\varphi\rangle = \int_\Omega f(x)g(x)\varphi(x)\,\mathrm d^d x

defines a regular distribution. The last hypothesis is not automatic. On R\mathbb R, both

f(x)=g(x)=x1/2f(x)=g(x)=|x|^{-1/2}

are locally integrable, but fg=x1fg=|x|^{-1} is not locally integrable at the origin.

There is also a useful elementary sufficient condition: if the singular supports of uu and vv are disjoint, a partition of unity can localize every point to a region where at least one factor is smooth. The local products then agree on overlaps and define uvuv. This does not cover coincident singularities.

Tensor product is automatic; diagonal pullback is conditional

Section titled “Tensor product is automatic; diagonal pullback is conditional”

The external product

uvD(Ω×Ω)u\boxtimes v \in \mathcal D'(\Omega\times\Omega)

always exists. A product on the original space would be its pullback along the diagonal embedding

ι:ΩΩ×Ω,ι(x)=(x,x):\iota:\Omega\longrightarrow\Omega\times\Omega, \qquad \iota(x)=(x,x): uv=ι(uv).\boxed{ uv = \iota^*(u\boxtimes v). }

The box is a characterization, not a guarantee that the right-hand side exists. Pullback along an embedding is conditional. In the wavefront-set criterion, there must be no covectors

(x,ξ)WF(u),(x,η)WF(v)(x,\xi)\in\operatorname{WF}(u), \qquad (x,\eta)\in\operatorname{WF}(v)

with ξ+η=0\xi+\eta=0. The notation is only a preview here; Singular Support and Wavefront Sets develops the criterion and its hypotheses. Hörmander 2003, Theorem 8.2.10 is the structural source for this conditional product.

Mollification does not make squaring continuous

Section titled “Mollification does not make squaring continuous”

Let ρCc(R)\rho\in C_c^\infty(\mathbb R) be real with ρ=1\int\rho=1, and set

δε(x)=1ερ ⁣(xε).\delta_\varepsilon(x) = \frac{1}{\varepsilon} \rho\!\left(\frac{x}{\varepsilon}\right).

Although δεδ0\delta_\varepsilon\to\delta_0 in D\mathcal D', the squares obey

δε2,φ=1εRρ(y)2φ(εy)dy=φ(0)εRρ(y)2dy+O(1).\begin{aligned} \left\langle \delta_\varepsilon^2,\varphi \right\rangle &= \frac{1}{\varepsilon} \int_{\mathbb R} \rho(y)^2\varphi(\varepsilon y)\,\mathrm dy \\ &= \frac{\varphi(0)}{\varepsilon} \int_{\mathbb R}\rho(y)^2\,\mathrm dy + O(1). \end{aligned}

The coefficient diverges and depends on the mollifier. Thus convergence of two regularized factors does not imply convergence of their products, and the symbol δ02\delta_0^2 has not been defined. Dyatlov 2022, § 3.2, Remark 3.3, PDF uses this example to show why arbitrary distributional multiplication is unavailable.

Scaling degree measures the short-distance strength

Section titled “Scaling degree measures the short-distance strength”

For λ>0\lambda>0 and φD(Rd)\varphi\in\mathcal D(\mathbb R^d), define

φλ(x)=λdφ(x/λ),tλ,φ=t,φλ.\varphi_\lambda(x) = \lambda^{-d}\varphi(x/\lambda), \qquad \langle t_\lambda,\varphi\rangle = \langle t,\varphi_\lambda\rangle.

If tt is represented by a function, then tλt_\lambda is represented by xt(λx)x\mapsto t(\lambda x). The scaling degree of tt at the origin is

sd0(t)=inf{ωR:λωtλ0 in D as λ0}.\boxed{ \operatorname{sd}_0(t) = \inf \left\{ \omega\in\mathbb R: \lambda^\omega t_\lambda \longrightarrow0 \text{ in }\mathcal D' \text{ as }\lambda\downarrow0 \right\}. }

The same definition applies to tD(Rd{0})t^\circ\in\mathcal D'(\mathbb R^d\setminus\{0\}): the punctured domain is invariant under positive dilations, so each scaled pairing remains well-defined.

The normalization is fixed by the following examples:

sd0(f)0for fC,sd0(δ0)=d,sd0(αδ0)=d+α,sd0(xa)=aon Rd{0}.\begin{aligned} \operatorname{sd}_0(f)&\leq0 &&\text{for }f\in C^\infty, \\ \operatorname{sd}_0(\delta_0)&=d, \\ \operatorname{sd}_0(\partial^\alpha\delta_0)&=d+|\alpha|, \\ \operatorname{sd}_0(|x|^{-a})&=a &&\text{on }\mathbb R^d\setminus\{0\}. \end{aligned}

If f(0)0f(0)\neq0, the first inequality is an equality. Vanishing at the origin can lower the scaling degree. Differentiation and coordinate multiplication satisfy bounds, not universal equalities:

sd0(αt)sd0(t)+α,sd0(xαt)sd0(t)α,sd0(ft)sd0(t),fC.\begin{aligned} \operatorname{sd}_0(\partial^\alpha t) &\leq \operatorname{sd}_0(t)+|\alpha|, \\ \operatorname{sd}_0(x^\alpha t) &\leq \operatorname{sd}_0(t)-|\alpha|, \\ \operatorname{sd}_0(ft) &\leq \operatorname{sd}_0(t), \qquad f\in C^\infty. \end{aligned}

Scaling degree is unchanged under a local diffeomorphism κ\kappa satisfying κ(0)=0\kappa(0)=0 and having invertible derivative at the reference point. It is therefore local short-distance information rather than an artifact of one linear chart; Brunetti and Fredenhagen, §6, especially Propositions 6.5 and 6.8, give the corresponding invariant formulation. Brunetti and Fredenhagen 2000, § 5.1, PDF gives the pointwise definition and proves the displayed calculus properties in Lemma 5.1.

Scaling degree does not decide whether a proposed product exists away from the origin. It becomes relevant only after there is a genuine distribution on the punctured domain.

Let

tD(Rd{0}),ω=sd0(t)<.t^\circ \in \mathcal D'(\mathbb R^d\setminus\{0\}), \qquad \omega = \operatorname{sd}_0(t^\circ) <\infty.

Then there is an extension tD(Rd)t\in\mathcal D'(\mathbb R^d) such that

tRd{0}=t,sd0(t)=ω.t|_{\mathbb R^d\setminus\{0\}} = t^\circ, \qquad \operatorname{sd}_0(t) = \omega.

The uniqueness statement has a dimensional threshold:

ω<dthe scaling-degree-preserving extension is unique.\boxed{ \omega<d \quad\Longrightarrow\quad \text{the scaling-degree-preserving extension is unique.} }

When ωd\omega\geq d, define the nonnegative integer

N=ωd.N = \left\lfloor\omega-d\right\rfloor.

Any two extensions with scaling degree ω\omega differ by

tt=αNcααδ0.\boxed{ t'-t = \sum_{|\alpha|\leq N} c_\alpha\,\partial^\alpha\delta_0. }

There are

(d+NN)\binom{d+N}{N}

multi-indices in this sum before symmetry or other conditions are imposed. The theorem does not say that every coefficient survives those additional conditions; it says that scaling degree alone cannot determine them.

The ambiguity follows from three structural facts:

  1. The difference ttt'-t vanishes away from the origin, so its support is contained in {0}\{0\}.
  2. Every distribution supported at one point is a finite sum of delta derivatives.
  3. Since sd0(αδ0)=d+α\operatorname{sd}_0(\partial^\alpha\delta_0)=d+|\alpha|, preserving the original scaling degree allows only αN|\alpha|\leq N.

Dyatlov 2022, Theorem 4.19, PDF proves the point-support structure theorem. Brunetti and Fredenhagen 2000, Theorems 5.2–5.3, PDF prove existence, uniqueness below threshold, and the finite ambiguity at and above threshold.

The word “unique” must retain its qualifier. If ω<d\omega<d, adding a delta derivative still produces an extension in the unrestricted sense, but raises its scaling degree and therefore violates the theorem’s preservation condition.

Taylor subtraction exposes the finite freedom

Section titled “Taylor subtraction exposes the finite freedom”

For N0N\geq0, let

DN={φD(Rd):αφ(0)=0 for αN}.\mathcal D_N = \left\{ \varphi\in\mathcal D(\mathbb R^d): \partial^\alpha\varphi(0)=0 \text{ for }|\alpha|\leq N \right\}.

Choose functions wαD(Rd)w_\alpha\in\mathcal D(\mathbb R^d) satisfying

βwα(0)=δαβ(α,βN),\partial^\beta w_\alpha(0) = \delta_{\alpha\beta} \qquad (|\alpha|,|\beta|\leq N),

and define the continuous projection

WNφ=φαNwααφ(0).W_N\varphi = \varphi - \sum_{|\alpha|\leq N} w_\alpha\,\partial^\alpha\varphi(0).

Then WNφDNW_N\varphi\in\mathcal D_N. The scaling bound extends tt^\circ uniquely to this vanishing-jet subspace by a cutoff limit. Extending it to all tests requires assigning its values on the removed finite-dimensional Taylor jet:

t,φ=tN,WNφ+αNbααφ(0).\langle t,\varphi\rangle = \left\langle \overline t_N,W_N\varphi \right\rangle + \sum_{|\alpha|\leq N} b_\alpha\,\partial^\alpha\varphi(0).

Here tN\overline t_N denotes the unique extension on DN\mathcal D_N; it is not shorthand for applying tt^\circ directly to a test function whose support meets the origin. Changing WNW_N or the numbers bαb_\alpha changes the extension by the allowed delta derivatives. Brunetti and Fredenhagen 2000, § 5.2, Eqs. (38)–(40), PDF give this finite-jet construction.

This procedure outputs a distribution and an explicit finite ambiguity. It does not select a physical subtraction condition.

On R{0}\mathbb R\setminus\{0\}, the function 1/x1/x has scaling degree 1=d1=d. Its Cauchy principal value is one scaling-preserving extension, but

PV1x+cδ0\operatorname{PV}\frac1x+c\delta_0

has the same scaling degree for every cCc\in\mathbb C. The boundary values from the preceding Fourier-calculus page,

1x±i0=PV1xiπδ0,\frac1{x\pm i0} = \operatorname{PV}\frac1x \mp i\pi\delta_0,

are two particular choices. They agree with 1/x1/x off the origin and differ only by an allowed contact term.

For t(x)=xat^\circ(x)=|x|^{-a} on Rd{0}\mathbb R^d\setminus\{0\}:

  • If a<da<d, the function is locally integrable and its scaling-degree-preserving extension is unique.
  • If a=da=d, the radial integral is logarithmic and the ambiguity is cδ0c\delta_0.
  • If a>da>d, the possible contact terms include delta derivatives through order ad\lfloor a-d\rfloor.

Exact homogeneity is stronger than finite scaling degree. At certain thresholds, a scaling-degree-preserving extension exists but no extension preserves exact homogeneity; logarithms record this scaling obstruction.

First QFT application: a four-dimensional coincidence singularity

Section titled “First QFT application: a four-dimensional coincidence singularity”

Use a Euclidean relative coordinate so that the multiplication step is ordinary away from coincidence. On R4\mathbb R^4, set

ΔE=j=14j2,GE(x)=14π2x2.\Delta_E = \sum_{j=1}^4\partial_j^2, \qquad G_E(x) = \frac{1}{4\pi^2|x|^2}.

This is the massless Euclidean Green distribution normalized by

ΔEGE=δ(4).-\Delta_EG_E = \delta^{(4)}.

The ordinary square is smooth for x0x\neq0:

GE(x)2=116π4x4.G_E(x)^2 = \frac{1}{16\pi^4|x|^4}.

It is not locally integrable at coincidence, because the radial behavior is

0εr3r4dr=0εdrr.\int_0^\varepsilon r^3r^{-4}\,\mathrm dr = \int_0^\varepsilon\frac{\mathrm dr}{r}.

Its scaling degree is 44, equal to the ambient dimension. The point-extension theorem therefore says that a scaling-preserving extension exists and that the entire ambiguity is one multiple of δ(4)\delta^{(4)}.

An explicit representative, for μ>0\mu>0 of inverse-length dimension, is

Rμ ⁣(1x4)=14ΔE(log(μ2x2)x2).R_\mu\!\left(\frac1{|x|^4}\right) = -\frac14\Delta_E \left( \frac{\log(\mu^2|x|^2)}{|x|^2} \right).

The function inside the Laplacian is locally integrable. Away from the origin, direct radial differentiation gives

ΔE(log(μ2x2)x2)=4x4,\Delta_E \left( \frac{\log(\mu^2|x|^2)}{|x|^2} \right) = -\frac4{|x|^4},

so RμR_\mu really extends x4|x|^{-4}. Dyatlov 2022, Proposition 9.6, PDF also fixes the distributional normalization

ΔE1x2=4π2δ(4).\Delta_E\frac1{|x|^2} = -4\pi^2\delta^{(4)}.

Changing the auxiliary scale changes only the allowed local term:

Rμ ⁣(1x4)Rμ ⁣(1x4)=π2log ⁣(μ2μ2)δ(4).R_{\mu'}\!\left(\frac1{|x|^4}\right) - R_\mu\!\left(\frac1{|x|^4}\right) = \pi^2 \log\!\left(\frac{\mu'^2}{\mu^2}\right) \delta^{(4)}.

Consequently, one extension of the squared Green kernel is

[GE2]μ=164π4ΔE(log(μ2x2)x2),[G_E^2]_\mu = -\frac{1}{64\pi^4} \Delta_E \left( \frac{\log(\mu^2|x|^2)}{|x|^2} \right),

and

[GE2]μ[GE2]μ=116π2log ⁣(μ2μ2)δ(4).[G_E^2]_{\mu'} - [G_E^2]_\mu = \frac{1}{16\pi^2} \log\!\left(\frac{\mu'^2}{\mu^2}\right) \delta^{(4)}.

This square models the relative-coordinate coincidence singularity in a four-dimensional scalar loop. The mathematical conclusion is exactly that the freedom is local and has the form Cδ(4)C\delta^{(4)}. Its interpretation as a counterterm, the choice of a subtraction condition, and any claim about schemes or running belong to Local Counterterms and Subdivergence Structure. The theorem-first causal construction continues at Scaling Degree and Extension of Distributions.

Fredenhagen and Rejzner 2012, § 7, PDF give the Lorentzian counterpart: (ΔF)2(\Delta_F)^2 is defined away from the diagonal by the multiplication theorem, has scaling degree 44 in four dimensions, and admits a cδc\delta ambiguity. That off-diagonal product depends on wavefront control; it is not licensed by ordinary pointwise multiplication.

Near a smooth submanifold SS, choose local coordinates (y,z)(y,z) with S={z=0}S=\{z=0\} and scale only the normal variables:

(y,z)(y,λz).(y,z)\longmapsto(y,\lambda z).

Let q=codimSq=\operatorname{codim}S. The codimension qq, rather than the full ambient dimension, becomes the extension threshold. At and above it, the local ambiguity has the form

αωquα(y)zαδ(z),\sum_{|\alpha|\leq\lfloor\omega-q\rfloor} u_\alpha(y)\,\partial_z^\alpha\delta(z),

where the coefficients uαu_\alpha are generally distributions along SS, not constants or automatically smooth functions. A global theorem also needs uniform transverse scaling control, compatible charts, and microlocal hypotheses.

Brunetti and Fredenhagen, §6, develop this submanifold generalization. The present page uses the point theorem in one flat relative coordinate and stops before Epstein–Glaser induction on nested diagonals.

For a proposed singular product or extension:

  1. License the product. Identify a smooth factor, an integrable product, disjoint singular supports, or a valid diagonal-pullback theorem. Scaling degree does not create the initial product.
  2. Name the missing set. Begin with a distribution on the complement of a point or submanifold. An expression undefined even there cannot be repaired by the extension theorem.
  3. Compute the scaling degree. Fix the dilation convention and compare the result with the dimension or codimension of the missing set.
  4. Preserve the qualifier. Below threshold, uniqueness means uniqueness among extensions with the original scaling degree.
  5. List the finite ambiguity. Use N=ωqN=\lfloor\omega-q\rfloor, where q=dq=d for a point in Rd\mathbb R^d and q=codimSq=\operatorname{codim}S for a transverse submanifold theorem. Retain only normal delta derivatives through order NN before applying further conditions; along SS, their coefficients can themselves be distributions.
  6. Separate mathematics from physical input. Symmetry, locality, covariance, subtraction conditions, and experiment may reduce or fix the coefficients; scaling degree alone does not.
  7. Stop at the stated scope. Do not infer a beta function, running coupling, or renormalization scheme from the appearance of the auxiliary scale μ\mu alone.
  1. Compute the scaling degrees of 11, xkx^k, δ0\delta_0, and αδ0\partial^\alpha\delta_0 on Rd\mathbb R^d.

    Check

    Under xλxx\mapsto\lambda x, the first two representatives become 11 and λkxk\lambda^kx^k, so their scaling degrees are 00 and k-k. The delta scales as λdδ0\lambda^{-d}\delta_0, while each derivative adds one inverse power:

    sd0(δ0)=d,sd0(αδ0)=d+α.\operatorname{sd}_0(\delta_0)=d, \qquad \operatorname{sd}_0(\partial^\alpha\delta_0) = d+|\alpha|.
  2. Let t(x)=xd3/2t^\circ(x)=|x|^{-d-3/2} on the punctured space. Which contact terms can occur in an extension preserving its scaling degree?

    Check

    Here ω=d+3/2\omega=d+3/2, so

    N=ωd=1.N = \left\lfloor\omega-d\right\rfloor = 1.

    Two extensions may differ by

    cδ0+j=1dcjjδ0.c\,\delta_0 + \sum_{j=1}^d c_j\,\partial_j\delta_0.

    Rotational or parity invariance could remove the vector coefficients, but that conclusion uses an additional symmetry requirement.

  3. Explain why PV(1/x)+cδ0\operatorname{PV}(1/x)+c\delta_0 does not contradict the uniqueness theorem.

    Check

    The punctured distribution 1/x1/x has scaling degree ω=1\omega=1 in dimension d=1d=1. It is exactly at, not below, the uniqueness threshold. Since N=11=0N=\lfloor1-1\rfloor=0, one delta term is allowed.

  4. Verify the scale dependence of Rμ(x4)R_\mu(|x|^{-4}).

    Check

    The logarithms differ by the constant log(μ2/μ2)\log(\mu'^2/\mu^2). Therefore

    RμRμ=14log ⁣(μ2μ2)ΔE1x2=π2log ⁣(μ2μ2)δ(4).\begin{aligned} R_{\mu'}-R_\mu &= -\frac14 \log\!\left(\frac{\mu'^2}{\mu^2}\right) \Delta_E\frac1{|x|^2} \\ &= \pi^2 \log\!\left(\frac{\mu'^2}{\mu^2}\right) \delta^{(4)}. \end{aligned}

    The difference has support only at the removed point and is exactly the ambiguity allowed at scaling degree 44.