# Partial Differential Equations/Introduction and first examples

Let be a natural number, and let be an arbitrary set. A *partial differential equation on * looks like this:

is an arbitrary function here, which goes from to , where is a natural number. And we want to find a function satisfying this equation. The solutions of some partial differential equations describe processes in nature; this is one reason why they are so important.

## Contents

## Multiindices[edit]

In the whole theory of partial differential equations, *multiindices* are extremely important. Only with their help we are able to write down certain formulas a lot briefer.

**Definitions 1.1**:

A -dimensional **multiindex** is a vector , where are the natural numbers and zero.

If is a multiindex, then its **absolute value** is defined by

If is a -dimensional multiindex, is an arbitrary set and is sufficiently often differentiable, we define , the **-th derivative** of , as follows:

## Types of partial differential equations[edit]

We classify partial differential equations into several types, because for partial differential equations of one type we will need different solution techniques as for differential equations of other types. We classify them into linear and nonlinear equations, and into equations of different orders.

**Definitions 1.2**:

A **linear** partial differential equation is an equation of the form

, where only finitely many of the s are not the constant zero function. A solution takes the form of a function . We have for an arbitrary , is an arbitrary function and the sum in the formula is taken over all possible -dimensional multiindices. If the equation is called **homogenous**.

A partial differential equation is called **nonlinear** iff it is not a linear partial differential equation.

**Definition 1.3**:

Let . We say that a partial differential equation has **-th order** iff is the smallest number such that it is of the form

## First example of a partial differential equation[edit]

Now we are very curious what practical examples of partial differential equations look like after all.

**Theorem and definition 1.4**:

If is a continuously differentiable function and , then the function

solves the **one-dimensional homogenous transport equation**

**Proof**: Exercise 2.

We therefore see that the one-dimensional transport equation has many different solutions; one for each continuously differentiable function in existence. However, if we require the solution to have a specific initial state, the solution becomes unique.

**Theorem and definition 1.5**:

If is a continuously differentiable function and , then the function

is the unique solution to the **initial value problem for the one-dimensional homogenous transport equation**

**Proof**:

Surely . Further, theorem 1.4 shows that also that

Now suppose we have an arbitrary other solution to the initial value problem. Let's name it . Then for all , the function

is constant:

Therefore, in particular

, which means, inserting the definition of , that

, which shows that . Since was an arbitrary solution, this shows uniqueness.

In the next chapter, we will consider the non-homogenous arbitrary-dimensional transport equation.

## Exercises[edit]

- Have a look at the definition of an ordinary differential equation (see for example the Wikipedia page on that) and show that every ordinary differential equation is a partial differential equation.
- Prove Theorem 1.4 using direct calculation.
- What is the order of the transport equation?

## Sources[edit]

- Martin Brokate (2011/2012) (in german),
*Partielle Differentialgleichungen, Vorlesungsskript*, http://www-m6.ma.tum.de/~brokate/pde_ws11.pdf - Daniel Matthes (2013/2014),
*Partial Differential Equations, lecture notes*, http://www-m8.ma.tum.de/m8/lehre/pde13/Material/lecnotesPDE.pdf