Differential Equations: An Introduction to Basic Concepts, Results and Applications

Chapter 8: Auxiliary Results

8.1 Elements of Vector Analysis

For we denote by the set of all n-tuples x=(x 1 , x 2 , , x n ) of real numbers which, with respect to the operations + (internal composition law) and (external composition law) defined by


for every , and respectively by


for every and every , is an n-dimensional vector space over . In all that follows, is the standard inner product on , i.e.


and is the induced Euclidean norm, i.e.


for every . Whenever no confusion may occur, we will cancel the index n, writing x, y instead of x, y n and x instead of x n . Also, we will cancel by simply writing ?x instead of ? x.

Let be the set of all n m-matrices with real elements. In many situations we will identify an element by a linear operator (denoted for simplicity by the same symbol) , defined by


for every , where x is a column vector.

On the set , which clearly is an n m-dimensional vector space over , we define the function , by


for every . The next simple lemma is particularly useful in what follows.

Lemma 8.1.1

The function is a norm on , i.e. it satisfies:

  • (N 1 ) if and only if is the null matrix;

  • (N 2 ) for every and every ;

  • (N

UNLIMITED FREE
ACCESS
TO THE WORLD'S BEST IDEAS

SUBMIT
Already a GlobalSpec user? Log in.

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.

Customize Your GlobalSpec Experience

Category: LiDAR Sensors
Finish!
Privacy Policy

This is embarrasing...

An error occurred while processing the form. Please try again in a few minutes.