For nonnegative with finite second moment, differentiation under the expectation gives for . The exponential Taylor remainder divided by tends pointwise to zero and is bounded in absolute value by . The dominated convergence theorem therefore proves the displayed expansion without requiring a third moment.
Small-parameter asymptotic of a lattice theta sum Created 2026-10-06 Updated 2026-10-14
If every eigenvalue of a positive definite symmetric matrix tends to zero, then the anisotropic theta functional equation and the dominated convergence theorem show that . Indeed all eigenvalues of tend to infinity, the zero term of the dual Gaussian theta sum is one, and its remaining terms tend to zero while being dominated by a fixed summable Gaussian. Merely requiring is insufficient.
For a time-independent strictly positive Dirichlet realization of an elliptic operator and , the eigenfunction expansion
solves with homogeneous Dirichlet boundary conditions. For , every power times the exponential is bounded, so the series and all its time derivatives converge in all the Sobolev domains of powers of an elliptic Dirichlet operator. Elliptic regularity and the Sobolev embedding theorem give smoothness up to the spatial boundary for positive time. Parseval identity and the dominated convergence theorem give in as .
For nonzero compact operator , step , and data admitting a minimum-norm least-squares solution , zero-initialized Landweber iteration satisfies
The Picard criterion makes the majorant summable, so the dominated convergence theorem proves this limit. No mesh-independent or singular-value-independent strict contraction factor is required. At , the top singular mode has multiplier and may not converge. Without solvable projected data, the iterates need not have a limit in the solution Hilbert space, even when their residuals approach the least-squares infimum.
Time-dependent test functions for a diffusion martingale problem Created 2026-10-06 Updated 2026-10-14
For an L-diffusion with bounded coefficients and , is a continuous martingale. Freeze the time argument along a deterministic partition, apply the spatial martingale problem on each interval, and pass to the limit by the dominated convergence theorem. The same proof works if the absolute drift coefficients and the trace of the diffusivity have integrable time integrals along the path on every finite horizon. Local hypotheses alone give a local martingale conclusion.
If and for some finite , the estimator satisfies almost surely. The dominated convergence theorem makes the population moment-generating function uniformly continuous on this interval. Parameter subintervals give function brackets whose endpoints are ordered exponentials and whose widths are the corresponding increments of the population mean. Apply the uniform strong law from finite L1 bracketing. Continuity in the parameter makes the supremum measurable.
If is compact, is continuous in and measurable in , and , then an independent and identically distributed sample satisfies almost surely. Uniform continuity for each , the dominated convergence theorem, and finite parameter nets produce arbitrarily narrow function brackets.
Use the Fourier transform convention . If and for are integrable functions, moment differentiation of the Fourier transform yields a Fourier transform and
The dominated convergence theorem justifies these derivatives. Under these assumptions, vanishing moments are equivalent to vanishing derivatives through order at zero. For this gives a Peano zero ; for it gives . It does not by itself justify a th derivative or an estimate.
If also , subtract the degree- Taylor polynomial of inside the integral. Its Taylor remainder gives the stronger bound
For an integrable function with compact support, every weighted integral exists and its Fourier transform extends to an entire function. The language “zero of order at least ” is then literal analytic function terminology. If the next integral is nonzero, the order is exactly . The smooth-mask vanishing-moment criterion relates these cancellations to a refinement mask under its additional hypotheses.[ref]
Weak convergence to zero gives pointwise convergence by the continuous evaluation functionals and uniform boundedness in the supremum norm by the weakly bounded set criterion. The dominated convergence theorem for Lebesgue measure then proves the displayed implication. The finite measure of the interval and uniform norm bound are the relevant hypotheses.
For a finite positive Borel measure on the circle, averaged squared Fourier coefficients tend to the sum of squares of its atomic masses. Express each squared coefficient as a double integral and average the circle character. The averaged character is bounded by one, tends to one on the diagonal and to zero elsewhere, so the dominated convergence theorem gives the diagonal mass. In particular an atomless measure has vanishing averaged absolute coefficients by the Cauchy-Schwarz inequality.
For globally Lipschitz drift , couple and from the same point. The Gronwall inequality gives . Thus convergence is uniform on each finite horizon. The Feynman-Kac formula for generator has weight , with a positive sign. Bounded continuous is uniformly continuous on a compact neighbourhood of the deterministic trajectory, and bounded continuous supplies a deterministic integrable bound. The dominated convergence theorem proves the displayed limit without requiring global uniform continuity of .