 Peano kernel norm

The Peano kernel theorem writes a derivative-based error functional as $L(u)=\int K(t)u^{(r)}(t)dt$, so its bound in the displayed derivative seminorm is at most the L1 norm of the kernel. This is the sharp constant: continuous derivatives can approximate the sign of $K$ in the weighted integral, and integrating them $r$ times produces admissible test functions. If $K$ has one sign, a constant $r$th derivative already attains equality; in particular $\int K=L[x^r/r!]$. This provides a direct exact check on proposed error constants before estimating individual polynomial pieces.