An integral operator with kernel KK has the form

(Tf)(x)=YK(x,y)f(y)dν(y)(Tf)(x)=\int_Y K(x,y)f(y)\,d\nu(y)

on a specified class of functions for which the integral exists. This kernel is a function of two variables; it is distinct from the nullspace of a linear map.

A direct bound

If KK is jointly measurable and supxK(x,y)dν(y)M\sup_x\int|K(x,y)|\,d\nu(y)\le M, then TfsupMfsup\|Tf\|_{\sup}\le M\|f\|_{\sup} on bounded measurable functions. For essential norms, use the corresponding almost-everywhere row bound on sigma-finite product spaces. A formula alone does not establish boundedness on a chosen function space; its kernel estimates do.

Examples

On Rn\mathbb R^n, taking K(x,y)=k(xy)K(x,y)=k(x-y) gives convolution. An integral atK(t,s)f(s)ds\int_a^tK(t,s)f(s)\,ds is a Volterra operator and respects the time ordering sts\le t.