Dirac measure
In mathematics, a Dirac measure assigns a size to a set based solely on whether it contains a fixed element x or not. It is one way of formalizing the idea of the Dirac delta function, an important tool in physics and other technical fields.
Definition
A Dirac measure is a measure on a set defined for a given and any (measurable) set bywhere is the indicator function of.
The Dirac measure is a probability measure, and in terms of probability it represents the almost sure outcome in the sample space. We can also say that the measure is a single atom at. The Dirac measures are the extreme points of the convex set of probability measures on.
The name is a back-formation from the Dirac delta function; considered as a Schwartz distribution, for example on the real line, measures can be taken to be a special kind of distribution. The identity
which, in the form
is often taken to be part of the definition of the "delta function", holds as a theorem of Lebesgue integration.
Properties of the Dirac measure
Let denote the Dirac measure centred on some fixed point in some measurable space.- is a probability measure, and hence a finite measure.
- is a strictly positive measure if and only if the topology is such that lies within every non-empty open set, e.g. in the case of the trivial topology.
- Since is probability measure, it is also a locally finite measure.
- If is a Hausdorff topological space with its Borel -algebra, then satisfies the condition to be an inner regular measure, since singleton sets such as are always compact. Hence, is also a Radon measure.
- Assuming that the topology is fine enough that is closed, which is the case in most applications, the support of is. Furthermore, is the only probability measure whose support is.
- If is -dimensional Euclidean space with its usual -algebra and -dimensional Lebesgue measure, then is a singular measure with respect to : simply decompose as and and observe that.
- The Dirac measure is a sigma-finite measure.