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.
Definition
Section titled “Definition”Let be a distribution on a test-function space. Its distributional derivative is defined by
for every test function .
The second derivative is defined by applying the same rule twice:
More generally,
This definition is chosen so that, when comes from a smooth ordinary function , the distributional derivative agrees with the ordinary derivative.
Agreement with Ordinary Derivatives
Section titled “Agreement with Ordinary Derivatives”Suppose is smooth and decays enough, or the test function has compact support. Then
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.
Step Function
Section titled “Step Function”Let be the Heaviside step function:
The value at does not affect the associated distribution. Its distributional derivative is
Indeed,
Thus the derivative is zero away from the jump, but the jump itself contributes a delta distribution.
Delta Derivatives
Section titled “Delta Derivatives”The derivative of a delta distribution is defined by
This object is often written as . It should be understood by its action on test functions:
The minus sign is not optional. It comes directly from the definition of distributional derivative.
Jump Formula
Section titled “Jump Formula”Let be smooth on the two sides of a point , with one-sided limits and . Define the jump
Then the distributional derivative is
where is the ordinary derivative on each side of .
If is continuous but jumps, then has no delta term, but the second derivative does:
If itself jumps, then
This hierarchy is the clean way to see which singular terms appear in a differential equation.
Example: Exponential Green Function
Section titled “Example: Exponential Green Function”Let
The function is continuous at , so . Its derivative is
so
Away from ,
Therefore
Equivalently,
which is the full-line Green function for . The same result appears in Green Functions.
Delta Potentials
Section titled “Delta Potentials”Consider the stationary Schrödinger equation with a delta potential:
For an ordinary delta potential, the wavefunction is taken continuous at the origin:
Then contains a delta term if the derivative jumps:
The product is interpreted as when is continuous. Comparing the coefficient of in the Schrödinger equation gives
Thus
This is the derivative jump condition. If itself had a jump, would contain a 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.
Fourier-Space Rule
Section titled “Fourier-Space Rule”Distributional derivatives also preserve the familiar Fourier derivative rule. With the ordinary convention,
interpreted distributionally. This remains meaningful even when has jumps or singular parts.
With the wavefunction convention,
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 function and the state must lie in the operator domain.
This distinction is explained in Domains of Operators.
Common Mistakes
Section titled “Common Mistakes”- Thinking a distributional derivative must be an ordinary function.
- Forgetting the minus sign in .
- Treating a step function as having derivative zero everywhere and missing the jump delta.
- Applying the momentum operator to every 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 term created by a discontinuity in the wavefunction.
Cross-Links
Section titled “Cross-Links”- Distributions
- Delta Function
- Principal Value Distributions
- Real Analysis Essentials
- Boundary Conditions
- Green Functions
- Domains of Operators
- Unbounded Operators
- Wave-Mechanics Boundary Conditions
References
Section titled “References”- 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.
Exercises
Section titled “Exercises”- Derive for the Heaviside function.
Solution
For every test function ,
Therefore distributionally.
- Let for and for . Find its distributional derivative.
Solution
The sign function can be written as
Since and ,
Equivalently, the jump is , so the jump formula gives .
- Compute distributionally.
Solution
The function is continuous, so there is no term. Away from zero,
The derivative jumps from to , so
Therefore
- Use the distributional second derivative to derive the delta-potential jump condition.
Solution
For a continuous wavefunction with a possible derivative jump at ,
Substitute this into
The regular terms hold away from the origin. The coefficient of must vanish:
Hence