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Complex Measures

Definition 2.1   A complex measure on a measurable space $ (X,\mathcal{S})$ is a function $ \nu: \mathcal{S}\rightarrow \mathbb{C}$ such that
(a)
$ \nu(\emptyset) = 0$ , and
(b)
If $ \{ E_i \}_{i=1}^\infty$ are pairwise disjoint, $ E_i \in \mathcal{S}$ , then

$\displaystyle \nu(\bigcup_{i=1}^\infty E_i) = \sum_{i=1}^\infty \nu(E_i), $

where the sum converges absolutely.

Remark: A positive measure is a complex measure when it is finite $ (\mu(X) < \infty)$ .
For a complex measure, $ \nu$ , write $ \nu_{re}, \nu_{im}$ for its real and imaginary parts, respectively. Thus $ \nu_{im}$ and $ \nu_{re}$ are signed measures:

$\displaystyle \nu = \nu_{re} + \nu_{im} = (\nu_{re}^+ - \nu_{re}^-) + i(\nu_{im}^+ - \nu_{re}^-) $

Therefore, the range of $ \nu$ is a bounded set.
For a complex measure, $ \nu$ ,

$\displaystyle L^1(\nu) := L^1(\nu_{re}) \cap L^1(\nu_{im}). $

For $ f \in L^1(\nu)$ , define

$\displaystyle \int_X f d\nu = \int_X f d\nu_{re} + i \int_X f d\nu_{im}. $

For $ \nu$ a complex measure and $ \mu$ a positive measure, $ \nu \perp \mu$ means $ \nu_{re} \perp \mu$ and $ \nu_{im} \perp \mu$ .
Similarly, $ \nu \ll \mu$ means $ \nu_{re} \ll \mu$ and $ \nu_{im} \ll \mu$ .

Theorem 3   Lebesgue-Radon-Nikodym
Let $ (X,\mathcal{S})$ be a measurable space, $ \mu$ a $ \sigma$ -finite positive measure, and $ \nu$ a complex measure. Then, there exists unique complex measures $ \nu_0$ and $ \nu_1$ such that $ \nu = \nu_0 + \nu_1$ , $ \nu_0 \perp \mu$ , and $ \nu_1 \ll \mu$ . Moreover, there exists a $ \mu$ -integrable function $ f: X \rightarrow C$ such that $ \nu_1(E) = \int_E f d\mu$ . Finally, $ f$ is unique $ \mu$ -almost everywhere.

Wednesday, 1-19-2005

Definition 2.2   Extended Integrable:
Let $ \nu$ be a signed measure. Then, we say that $ f: X \rightarrow \bar \mathbb{R}$ is extended integrable if $ f$ is integrable of at least one of $ \nu^+$ or $ \nu^-$ . For such $ f$ ,

$\displaystyle \int f d\nu = \int f d\nu^+ - \int f d\nu^- $

(Thus, we don't have a problem such as $ \infty - \infty$ )

Because of this, we must slightly change the statement of the Radon-Nikodym Theorem:

Theorem 4   Radon-Nikodym
Let $ \nu$ be a $ \sigma$ -finite signed measure on $ (X,\mathcal{S})$ and let $ \mu$ be a $ \sigma$ -finite positive measure on $ (X,\mathcal{S})$ . If $ \nu \ll \mu$ , then there exists an extended integrable function $ f$ (i.e., either $ f^+$ or $ f^-$ is integrable) such that

$\displaystyle \nu(E) = \int_E f d\mu $

for all $ E \in \mathcal{S}$ .

Let $ \nu$ be a complex measure. We write

$\displaystyle \mu = \nu_{Re}^+ + \nu_{Re}^- + \nu_{Im}^+ + \nu_{Im}^- $

where $ \mu$ is the total variation of $ \nu$ . Note that $ \mu$ is a positive measure and $ \nu \ll \mu$ .

Lemma 2.1   Suppose $ \lambda_1$ , $ \lambda_2$ are positive measures such that $ \nu \ll \lambda_1$ and $ \nu \ll \lambda_2$ . Write $ d \nu = f_i d \lambda_i$ . Then,

$\displaystyle \vert f_1\vert d \lambda_1 = \vert f_2 \vert d \lambda_2 $

Proof. Let $ \rho = \lambda_1 + \lambda_2$ , so $ \rho$ is a positive measure with $ \lambda_1 \ll \rho$ and $ \lambda_2 \ll \rho$ . By the Theorem 1, there exists non-negative functions $ h_1$ , $ h_2$ such that $ d \lambda_1 = h_1 d\rho$ and $ d \lambda_2 = h_2 d\rho$ .
So, $ d\nu = f_1 h_1 d\rho$ and similarly $ d\nu = f_2 h_2 d\rho$ . By the uniqueness statement, we have $ f_1 h_1 = f_2 h_2$ $ \rho$ -almost everywhere. So, $ \vert f_1\vert h_1 =\vert f_2 \vert h_2$ $ \rho$ -almost everywhere. In other words, $ \vert f_1\vert d\lambda_1 = \vert f_2\vert d\lambda_2$ . $ \qedsymbol$

Definition 2.3   Total Variation:
The total variation $ \vert \nu \vert$ of the complex measure $ \nu$ is defined by $ d\vert\nu\vert = \vert f\vert d\lambda$ where $ \lambda$ is any positive measure with $ \nu \ll \lambda$ and $ d\nu = f d\lambda$ .

Properties of $ \vert \nu \vert$ :

(a)
$ \forall E$ measurable, $ \vert \nu(E) \vert \leq \vert\nu\vert (E) $
(b)
$ \nu \ll \vert \nu \vert$ and $ \left\vert\left[\frac{d\nu}{d\vert\nu\vert}\right] \right\vert = 1$ almost everywhere.
(c)
If $ \nu_1, \nu_2$ are complex measures, then $ \vert \nu_1 + \nu_2\vert \leq \vert\nu_1\vert + \vert\nu_2\vert$ .

Proof. Let $ \lambda$ be a positive measure such that $ \nu \ll \mu$ and write $ d\nu = f d\lambda$ . Then,
(a)
$ \vert\nu(E)\vert = \vert \int_E f d\lambda \vert \leq \int_E \vert f\vert d\lambda = \vert \nu \vert (E).$
(b)
Part (a) give $ \nu \ll \vert \nu \vert$ . Write

$\displaystyle \nu(E) = \int_E \left[ \frac{d\nu}{d\vert\nu\vert} \right] d\vert\nu\vert $

Then,

$\displaystyle \int_E 1 d\vert\nu\vert = \vert\nu\vert(E) = \left\vert \left[ \frac{d\nu}{d\vert\nu\vert} \right] \right\vert = $

Therefore, by uniqueness of Theorem 1,

$\displaystyle \left\vert \left[ \frac{d\nu}{d\vert\nu\vert} \right] \right\vert = 1,  $    $ \vert \nu \vert$ -almost everywhere$\displaystyle $

(c)
Let $ \lambda_1, \lambda_2$ be positive measures such that $ \nu_1 \ll \lambda_1$ and $ \nu_2 \ll \lambda_2$ ; write $ d\nu_1 = f_1 d\lambda_1$ . Put $ \rho = \lambda_1 + \lambda_2$ . Then,

$\displaystyle (\nu_1 + \nu_2)(E) = \int_E f_1 d\lambda_1 + \int_E f_2 d\lambda_2 $

$\displaystyle = \int_E f_1 \left[ \frac{d \lambda_1}{d\rho} \right] d\rho + \int_E f_2 \left[ \frac{d \lambda_2}{d \rho} \right] d \rho $

$\displaystyle = \int_E \left( f_1 \left[ \frac{d\lambda_1}{d\rho} \right] + f_2 \left[ \frac{d\lambda_2}{d \rho}\right] \right) d\rho $

So,

$\displaystyle \vert \nu_1 + \nu_2\vert (E) = \int_E \left\vert f_1 \left[ \frac...
...ho} \right] + f_2 \left[ \frac{ d\lambda_2 }{d \rho} \right] \right\vert d\rho $

$\displaystyle \leq \int_E \vert f_1\vert \left\vert \left[ \frac{d\lambda_1}{d\...
...ght\vert = \int_E \vert f_1\vert d\lambda_1 + \int_E \vert f_2\vert d\lambda_2 $

$\displaystyle = \vert\nu_1\vert (E) + \vert\nu_2\vert (E) $

$ \qedsymbol$

Theorem 5   Let $ \nu$ be a complex measure. Then for any measurable $ E$ ,

$\displaystyle \vert\nu\vert(E) = \sup \left\{ \sum_{i=1}^\infty \vert \nu(E_i)\...
...\cap E_j = \emptyset (i \neq j), \text{ and } E_i \text{ measurable } \right\} $

Proof. Found in Rudin, Real and Complex Analysis. $ \qedsymbol$

An application to Harmonic Analysis:
Let $ X = \mathbb{R}$ , $ \mathcal{L}$ be Lebesgue-measurable sets. For complex measures $ \nu_1, \nu_2$ , define

$\displaystyle (\nu_1 * \nu_2)(E) = \int_\mathbb{R}\left[ \int_\mathbb{R}\chi_E( x + y) d\nu_1(x) \right] d\nu_2(y) $

This is the convolution of $ \nu_1$ and $ \nu_2$ . Note that by using the Radon-Nikodym derivatives, we can convert this to the product of two positive measures.

This makes the set of complex measures into an algebra over $ \mathcal{C}$ , with vector space under $ +$ and usual associative multiplication.

The measures which are absolutely continuous with respect to the Lebesgue measure $ m$ form an ideal.

Let $ \nu_t$ be the point mass at $ t$ . Then, $ \nu_t * \nu_s = \nu_{(t+s)}$ . Hence, the real line is embedded in this algebra in a natural sort of way.


next up previous
Next: Differentiating Measures on Up: Analysis Notes Previous: Radon-Nikodym and Lebesgue Decomposition
2005-04-15