For any normalized trial state , the spectral decomposition gives the variational method bound
Choose a family , form its Rayleigh quotient, and minimize over the variational parameters. Every resulting value is an upper bound, and the minimum is the best bound within that family.
For and an orthonormal trial set,
Stationarity subject to gives
The finite-subspace variational method, equivalently the Rayleigh-Ritz variational principle, says that the minimum quotient is the smallest eigenvalue of . It is therefore the optimal upper bound on available from this span.
The kinetic matrix is diagonal:
For the linear potential,
and
Thus, in units ,
The lower eigenvalue gives the two-mode variational bound for a linearly tilted square well

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