For and a positivity-preserving operator, this is the negative log-likelihood for independent Poisson observations with intensity , up to constants depending only on the data and the unit background. For bounded , its scalar derivatives are and on . It is convex, and strictly convex in the predicted intensity when almost everywhere. On a unit-area domain, the Jensen inequality gives . The shift makes integrable whenever ; no integrability of is needed.
Let be a bounded connected Lipschitz domain, , bounded, and bounded and positivity preserving with . Minimize over nonnegative BV space functions. The logarithmic Jensen inequality bounds and variation on sublevels; mean control for positive imaging operators then bounds the full norm. Bounded-variation compactness gives strong convergence, including nonnegativity. The scalar fidelity has bounded derivative on , so continuity of makes its integral continuous in that limit. Lower semicontinuity of variation proves existence by the direct method in the calculus of variations. If almost everywhere and is injective, strict convexity of the fidelity gives uniqueness. For , zero is the unique minimizer even without injectivity, since zero energy forces both and a constant nonnegative .
On a bounded domain, suppose , , and a bounded positivity-preserving operator satisfies . Every strictly positive has : otherwise for all , and continuity gives . Since whenever , every such has positive energy. The constants have zero variation and energy at most . Their excluded zero limit proves nonattainment. Coercivity and bounded-variation compactness cannot by themselves preserve a nonclosed strict-positivity constraint.

Articles by others on the same topic (0)

There are currently no matching articles.