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Distributional Derivatives

A distributional derivative extends differentiation to objects defined by their action on test functions. It makes precise statements such as “the derivative of a step function is a delta function” and explains why singular potentials create jump conditions.

The guiding rule is integration by parts with the derivative moved onto the test function.

Let TT be a distribution on a test-function space. Its distributional derivative DTDT is defined by

⟨DT,φ⟩=−⟨T,φ′⟩\langle DT,\varphi\rangle = -\langle T,\varphi'\rangle

for every test function φ\varphi.

The second derivative is defined by applying the same rule twice:

⟨D2T,φ⟩=⟨T,φ′′⟩.\langle D^2T,\varphi\rangle = \langle T,\varphi''\rangle.

More generally,

⟨DnT,φ⟩=(−1)n⟨T,φ(n)⟩.\langle D^nT,\varphi\rangle = (-1)^n \langle T,\varphi^{(n)}\rangle.

This definition is chosen so that, when T=TfT=T_f comes from a smooth ordinary function ff, the distributional derivative agrees with the ordinary derivative.

Suppose ff is smooth and decays enough, or the test function has compact support. Then

⟨DTf,φ⟩=−∫−∞∞f(x)φ′(x) dx=∫−∞∞f′(x)φ(x) dx=⟨Tf′,φ⟩.\begin{aligned} \langle DT_f,\varphi\rangle &= -\int_{-\infty}^{\infty} f(x)\varphi'(x)\,dx \\ &= \int_{-\infty}^{\infty} f'(x)\varphi(x)\,dx \\ &= \langle T_{f'},\varphi\rangle. \end{aligned}

The boundary term vanishes because the test function is chosen to make integration by parts legitimate. Distributional differentiation is therefore not a different derivative for smooth functions; it is the extension of the same integration-by-parts identity to singular or nonsmooth objects.

Let H(x)H(x) be the Heaviside step function:

H(x)={0,x<0,1,x>0.H(x) = \begin{cases} 0, & x<0,\\ 1, & x>0. \end{cases}

The value at x=0x=0 does not affect the associated distribution. Its distributional derivative is

DH=δ.DH=\delta.

Indeed,

⟨DH,φ⟩=−⟨H,φ′⟩=−∫0∞φ′(x) dx=φ(0)=⟨δ,φ⟩.\begin{aligned} \langle DH,\varphi\rangle &= -\langle H,\varphi'\rangle \\ &= -\int_0^\infty \varphi'(x)\,dx \\ &= \varphi(0) \\ &= \langle \delta,\varphi\rangle. \end{aligned}

Thus the derivative is zero away from the jump, but the jump itself contributes a delta distribution.

The derivative of a delta distribution is defined by

⟨Dδa,φ⟩=−φ′(a).\langle D\delta_a,\varphi\rangle = -\varphi'(a).

This object is often written as δ′(x−a)\delta'(x-a). It should be understood by its action on test functions:

∫−∞∞δ′(x−a)φ(x) dx=−φ′(a).\int_{-\infty}^{\infty} \delta'(x-a)\varphi(x)\,dx = -\varphi'(a).

The minus sign is not optional. It comes directly from the definition of distributional derivative.

Let ff be smooth on the two sides of a point aa, with one-sided limits f(a−)f(a^-) and f(a+)f(a^+). Define the jump

[f]a=f(a+)−f(a−).[f]_a = f(a^+)-f(a^-).

Then the distributional derivative is

Df=fpw′+[f]a δa,Df = f'_{\mathrm{pw}} + [f]_a\,\delta_a,

where fpw′f'_{\mathrm{pw}} is the ordinary derivative on each side of aa.

If ff is continuous but f′f' jumps, then DfDf has no delta term, but the second derivative does:

D2f=fpw′′+[f′]a δa.D^2f = f''_{\mathrm{pw}} + [f']_a\,\delta_a.

If ff itself jumps, then

D2f=fpw′′+[f′]a δa+[f]a Dδa.D^2f = f''_{\mathrm{pw}} + [f']_a\,\delta_a + [f]_a\,D\delta_a.

This hierarchy is the clean way to see which singular terms appear in a differential equation.

Let

g(x)=e−κ∣x∣,κ>0.g(x) = e^{-\kappa\lvert x\rvert}, \qquad \kappa>0.

The function is continuous at 00, so [g]0=0[g]_0=0. Its derivative is

g′(x)={κeκx,x<0,−κe−κx,x>0,g'(x) = \begin{cases} \kappa e^{\kappa x}, & x<0,\\ -\kappa e^{-\kappa x}, & x>0, \end{cases}

so

[g′]0=g′(0+)−g′(0−)=−2κ.[g']_0 = g'(0^+)-g'(0^-) = -2\kappa.

Away from 00,

gpw′′(x)=κ2e−κ∣x∣.g''_{\mathrm{pw}}(x) = \kappa^2 e^{-\kappa\lvert x\rvert}.

Therefore

D2g=κ2e−κ∣x∣−2κδ(x).D^2g = \kappa^2 e^{-\kappa\lvert x\rvert} -2\kappa\delta(x).

Equivalently,

(−d2dx2+κ2)e−κ∣x∣2κ=δ(x),\left( -\frac{d^2}{dx^2} +\kappa^2 \right) \frac{e^{-\kappa\lvert x\rvert}}{2\kappa} = \delta(x),

which is the full-line Green function for −d2/dx2+κ2-d^2/dx^2+\kappa^2. The same result appears in Green Functions.

Consider the stationary Schrödinger equation with a delta potential:

−ℏ22mD2ψ(x)+λδ(x)ψ(x)=Eψ(x).-\frac{\hbar^2}{2m}D^2\psi(x) +\lambda\delta(x)\psi(x) = E\psi(x).

For an ordinary delta potential, the wavefunction is taken continuous at the origin:

[ψ]0=0.[\psi]_0=0.

Then D2ψD^2\psi contains a delta term if the derivative jumps:

D2ψ=ψpw′′+[ψ′]0δ(x).D^2\psi = \psi''_{\mathrm{pw}} + [\psi']_0\delta(x).

The product δ(x)ψ(x)\delta(x)\psi(x) is interpreted as ψ(0)δ(x)\psi(0)\delta(x) when ψ\psi is continuous. Comparing the coefficient of δ(x)\delta(x) in the Schrödinger equation gives

−ℏ22m[ψ′]0+λψ(0)=0.-\frac{\hbar^2}{2m}[\psi']_0 +\lambda\psi(0) = 0.

Thus

ψ′(0+)−ψ′(0−)=2mλℏ2ψ(0).\psi'(0^+)-\psi'(0^-) = \frac{2m\lambda}{\hbar^2}\psi(0).

This is the derivative jump condition. If ψ\psi itself had a jump, D2ψD^2\psi would contain a DδD\delta term, which is not present in the ordinary delta-potential equation. That is why continuity is part of the matching rule for this model.

For the wave-mechanics boundary-condition statement, see Boundary Conditions.

Distributional derivatives also preserve the familiar Fourier derivative rule. With the ordinary kk convention,

F[Df](k)=ik F[f](k),\mathcal F[Df](k) = ik\,\mathcal F[f](k),

interpreted distributionally. This remains meaningful even when ff has jumps or singular parts.

With the wavefunction pp convention,

Fp[Dψ](p)=ipℏϕ(p),\mathcal F_p[D\psi](p) = \frac{ip}{\hbar}\phi(p),

whenever the pairing is interpreted in the distributional sense. To use this as a Hilbert-space momentum operator, one needs more: the derivative must be represented by an L2L^2 function and the state must lie in the operator domain.

This distinction is explained in Domains of Operators.

  • Thinking a distributional derivative must be an ordinary function.
  • Forgetting the minus sign in ⟨Dδa,φ⟩=−φ′(a)\langle D\delta_a,\varphi\rangle=-\varphi'(a).
  • Treating a step function as having derivative zero everywhere and missing the jump delta.
  • Applying the momentum operator to every L2L^2 state just because every distribution has a derivative.
  • Multiplying a delta distribution by a discontinuous function without specifying a convention or model.
  • Requiring derivative continuity across a delta potential.
  • Ignoring the DδD\delta term created by a discontinuity in the wavefunction.
  • I. M. Gel’fand and G. E. Shilov, Generalized Functions, Volume 1, Academic Press, 1964.
  • L. Schwartz, Théorie des distributions, Hermann, 1966.
  • M. Reed and B. Simon, Methods of Modern Mathematical Physics, Volume II: Fourier Analysis, Self-Adjointness, Academic Press, 1975.
  • B. C. Hall, Quantum Theory for Mathematicians, Springer, 2013.
  • G. Teschl, Mathematical Methods in Quantum Mechanics, 2nd ed., American Mathematical Society, 2014.
  1. Derive DH=δDH=\delta for the Heaviside function.
Solution

For every test function φ\varphi,

⟨DH,φ⟩=−⟨H,φ′⟩=−∫0∞φ′(x) dx=−[0−φ(0)]=φ(0)=⟨δ,φ⟩.\begin{aligned} \langle DH,\varphi\rangle &= -\langle H,\varphi'\rangle \\ &= -\int_0^\infty \varphi'(x)\,dx \\ &= -\left[ 0-\varphi(0) \right] \\ &= \varphi(0) \\ &= \langle\delta,\varphi\rangle. \end{aligned}

Therefore DH=δDH=\delta distributionally.

  1. Let sgn⁡(x)=−1\operatorname{sgn}(x)=-1 for x<0x\lt0 and sgn⁡(x)=1\operatorname{sgn}(x)=1 for x>0x\gt0. Find its distributional derivative.
Solution

The sign function can be written as

sgn⁡(x)=2H(x)−1.\operatorname{sgn}(x) = 2H(x)-1.

Since D1=0D1=0 and DH=δDH=\delta,

Dsgn⁡=2δ.D\operatorname{sgn} = 2\delta.

Equivalently, the jump is 1−(−1)=21-(-1)=2, so the jump formula gives 2δ2\delta.

  1. Compute D2e−κ∣x∣D^2e^{-\kappa\lvert x\rvert} distributionally.
Solution

The function is continuous, so there is no DδD\delta term. Away from zero,

gpw′′(x)=κ2e−κ∣x∣.g''_{\mathrm{pw}}(x) = \kappa^2e^{-\kappa\lvert x\rvert}.

The derivative jumps from g′(0−)=κg'(0^-)=\kappa to g′(0+)=−κg'(0^+)=-\kappa, so

[g′]0=−2κ.[g']_0=-2\kappa.

Therefore

D2e−κ∣x∣=κ2e−κ∣x∣−2κδ(x).D^2e^{-\kappa\lvert x\rvert} = \kappa^2e^{-\kappa\lvert x\rvert} -2\kappa\delta(x).
  1. Use the distributional second derivative to derive the delta-potential jump condition.
Solution

For a continuous wavefunction with a possible derivative jump at 00,

D2ψ=ψpw′′+[ψ′]0δ(x).D^2\psi = \psi''_{\mathrm{pw}} + [\psi']_0\delta(x).

Substitute this into

−ℏ22mD2ψ+λδ(x)ψ(x)=Eψ(x).-\frac{\hbar^2}{2m}D^2\psi +\lambda\delta(x)\psi(x) = E\psi(x).

The regular terms hold away from the origin. The coefficient of δ(x)\delta(x) must vanish:

−ℏ22m[ψ′]0+λψ(0)=0.-\frac{\hbar^2}{2m}[\psi']_0 +\lambda\psi(0) = 0.

Hence

ψ′(0+)−ψ′(0−)=2mλℏ2ψ(0).\psi'(0^+)-\psi'(0^-) = \frac{2m\lambda}{\hbar^2}\psi(0).