Applied linear operators and spectral methods/Weak convergence

< Applied linear operators and spectral methods

Convergence of distributions

Definition:

A sequence of distributions \{t_n\} is said to converge to the distribution t if their actions converge in \mathbb{R}, i.e.,


  \left\langle t_n, \phi \right\rangle \rightarrow \left\langle t, \phi \right\rangle \qquad
  \forall~\phi \in D \quad \text{as}~b \rightarrow \infty

This is called convergence in the sense of distributions or weak convergence.

For example,


  t_n := \left\langle \sin(nx), \phi \right\rangle = \int_{-\infty}^{\infty} \sin(nx)~\phi(x)~dx
  \rightarrow 0 \qquad \text{as}~~ n \rightarrow \infty

Therefore, \{\sin(nx)\} converges to \sin(0) as n \rightarrow \infty, in the weak sense of distributions.

If \{t_n\} \rightarrow t if follows that the derivatives \{t'_n\} will converge to t' since


  \left\langle t'_n, \phi \right\rangle = -\left\langle t_n, \phi' \right\rangle \rightarrow -\left\langle t, \phi' \right\rangle
    = \left\langle t', \phi \right\rangle

For example, \{t_n\} = \left\{\cfrac{\cos(nx)}{n}\right\} is both a sequence of functions and a sequence of distributions which, as n \rightarrow \infty, converge to 0 both as a function (i.e., pointwise or in L^2) or as a distribution.

Also, \{t'_n\} = \{-\sin(nx)\} converges to the zero distribution even though its pointwise limit is not defined.

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