Given a sequence of distributions f i {\displaystyle f_{i}} , its limit f {\displaystyle f} is the distribution given by
for each test function φ {\displaystyle \varphi } , provided that distribution exists. The existence of the limit f {\displaystyle f} means that (1) for each φ {\displaystyle \varphi } , the limit of the sequence of numbers f i [ φ ] {\displaystyle f_{i}[\varphi ]} exists and that (2) the linear functional f {\displaystyle f} defined by the above formula is continuous with respect to the topology on the space of test functions.
More generally, as with functions, one can also consider a limit of a family of distributions.
A distributional limit may still exist when the classical limit does not. Consider, for example, the function:
Since, by integration by parts,
we have: lim t → ∞ ⟨ f t , ϕ ⟩ = ⟨ π δ 0 , ϕ ⟩ {\displaystyle \displaystyle \lim _{t\to \infty }\langle f_{t},\phi \rangle =\langle \pi \delta _{0},\phi \rangle } . That is, the limit of f t {\displaystyle f_{t}} as t → ∞ {\displaystyle t\to \infty } is π δ 0 {\displaystyle \pi \delta _{0}} .
Let f ( x + i 0 ) {\displaystyle f(x+i0)} denote the distributional limit of f ( x + i y ) {\displaystyle f(x+iy)} as y → 0 + {\displaystyle y\to 0^{+}} , if it exists. The distribution f ( x − i 0 ) {\displaystyle f(x-i0)} is defined similarly.
One has
Let Γ N = [ − N − 1 / 2 , N + 1 / 2 ] 2 {\displaystyle \Gamma _{N}=[-N-1/2,N+1/2]^{2}} be the rectangle with positive orientation, with an integer N. By the residue formula,
On the other hand,
Main article: Oscillatory integral