Quadratic Forms
A quadratic form assigns an energy-like quantity to vectors without requiring the associated operator to act on them. For a nonnegative Hamiltonian , the form domain is , usually larger than . This distinction allows finite-energy states and variational trial functions that need not have a strong Schrödinger derivative.
Helpful background. Unbounded Operators distinguishes first and second moments. Dense Domains explains the topology behind form cores.
Sesquilinear forms and lower bounds
Section titled “Sesquilinear forms and lower bounds”Let be a dense linear subspace. A symmetric sesquilinear form is conjugate-linear in its first argument, linear in its second, and satisfies . Its quadratic value is , which is real.
Assume a lower bound
After shifting by , the form norm can be taken as
Here the coefficient denotes a fixed positive reference scale if physical units are retained. The form is closed if is complete in this norm. Equivalent positive shifts give equivalent norms.
A form is closable if it has a closed extension whose domain is obtained by completing the original form domain in the form norm and embedding that completion consistently in . For a nonnegative form, the sequence criterion is that in Hilbert norm and imply .
Closedness of the form is not closedness of an operator graph. The norms involve different numbers of derivatives in the common differential examples.
Representation by a self-adjoint operator
Section titled “Representation by a self-adjoint operator”The representation theorem states that every densely defined closed semibounded symmetric form determines a unique self-adjoint operator with the same lower bound. Its operator domain is characterized by
and . Density makes unique. The condition is again continuity in the ambient Hilbert norm, now applied to the form pairing.
For the form is
A proof strategy shifts to a strictly positive form and solves the weak equation using the Riesz theorem in the complete form space. The resulting bounded solution operator on is positive and self-adjoint; its inverse, with the appropriate range as domain, constructs the correspondingly shifted Hamiltonian. Completeness is the step that guarantees existence of the weak solution. This is a proof outline; the representation theorem also requires checking density, injectivity, and the inverse domain.
Kinetic energy requires fewer derivatives than the Hamiltonian
Section titled “Kinetic energy requires fewer derivatives than the Hamiltonian”On , set
This form is closed. Its associated operator is on .
The function belongs to , so its kinetic form value is finite. Its first derivative jumps at zero, however, and its second distributional derivative contains a delta function. It is therefore outside and outside .
The expression is valid for this state, but the Hilbert-space pairing is not literally defined. Writing them as equal without distinguishing the form extension hides the domain issue. Spectral integration still gives a well-defined mean kinetic energy.
Boundary conditions emerge from form domains
Section titled “Boundary conditions emerge from form domains”On , the same derivative form on produces the Dirichlet Laplacian. The form domain imposes zero endpoint values, and the operator domain is .
If instead , the representation identity must hold against test vectors with arbitrary endpoint values. Integration by parts forces , producing the Neumann Laplacian. The derivative action is unchanged; the form domain changes the boundary physics.
On a half-line, adding the boundary term
with real , produces the Robin condition . The trace term is controlled by the norm. A trace inequality with an arbitrarily small derivative coefficient shows semiboundedness even for negative .
These examples motivate Quadratic Form Methods, where forms are used to construct more complicated Hamiltonians.
Exercises
Section titled “Exercises”For on , compare its form and operator domains and find a vector in the difference.
Solution
The form domain requires ; the operator domain requires . Taking gives a convergent form sum but a divergent operator sum . After normalization this is a finite-mean-energy state outside .
Why does minimizing the kinetic form on normalized functions give a different lowest energy from minimizing on normalized functions?
Solution
The first space contains constants, so the minimum is zero and corresponds to the Neumann ground state. Constants are excluded from ; the Poincaré inequality gives minimum , attained by the first Dirichlet sine mode. A variational problem includes its admissible function space.
References
Section titled “References”- K. Schmüdgen, Unbounded Self-adjoint Operators on Hilbert Space, Graduate Texts in Mathematics 265, Springer, 2012, doi:10.1007/978-94-007-4753-1, Chapter 10 — semibounded forms and self-adjoint operators.
- G. Teschl, Mathematical Methods in Quantum Mechanics: With Applications to Schrödinger Operators, 2nd ed., American Mathematical Society, 2014, author’s book page — quadratic forms and the Friedrichs extension.