# Engineering Analysis/Function Spaces

## Function Space[edit | edit source]

A function space is a linear space where all the elements of the space are functions. A function space that has a norm operation is known as a **normed function space**. The spaces we consider will all be normed.

## Continuity[edit | edit source]

*f(x)* is continuous at *x _{0}* if, for every ε

*> 0*there exists a δ(ε)

*> 0*such that

*|f(x) - f(x*ε when

_{0})| <*|x - x*δ(ε).

_{0}| <## Common Function Spaces[edit | edit source]

Here is a listing of some common function spaces. This is not an exhaustive list.

### C Space[edit | edit source]

The *C* function space is the set of all functions that are continuous.

The metric for *C* space is defined as:

Consider the metric of *sin(x)* and *cos(x)*:

### C^{p} Space[edit | edit source]

The *C ^{p}* is the set of all continuous functions for which the first

*p*derivatives are also continuous. If the function is called "infinitely continuous. The set is the set of all such functions. Some examples of functions that are infinitely continuous are exponentials, sinusoids, and polynomials.

### L Space[edit | edit source]

The *L* space is the set of all functions that are finitely integrable over a given interval *[a, b]*.

*f(x)* is in *L(a, b)* if:

### L _{p} Space[edit | edit source]

The *L _{p}* space is the set of all functions that are finitely integrable over a given interval

*[a, b]*when raised to the power

*p*:

Most importantly for engineering is the *L _{2}* space, or the set of functions that are "square integrable".