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Norm (mathematics)

math Maturity 7-9 Next article →

Imagine you are standing at a starting point and want to know how far away something is. In math, we use a special tool called a norm to measure this distance. A norm is a way to find the length of a vector. A vector is like an arrow that starts at a point called the origin and points toward something else.

Vector norms
Vector norms

The norm always gives us a number that is zero or higher. If the length is zero, it means you are still at the starting point. This tool helps mathematicians understand the size and scale of different spaces. It makes it possible to turn shapes and directions into simple numbers.

To be a true norm, a rule must follow three specific patterns. First, it must follow the triangle inequality. This means the direct path is never longer than taking a detour through a third point. Second, it must work with scaling. If you make a vector twice as long, its norm must also double.

Vector norm sup
Vector norm sup

Third, the norm can only be zero if the vector is at the origin. There is also something called a seminorm. A seminorm follows the first two rules but might be zero even if you have moved away from the start. These different rules allow math to work in many different ways.

Math has a long history of finding these measurements. A mathematician named Stefan Banach helped define how we write these symbols. In his 1920 doctoral thesis, he suggested using double vertical lines to show a norm.

Vector norms
Vector norms

For example, we might write the norm of a vector using those two lines. Other people use single vertical lines when they are talking about simple lengths in Euclidean space. These different ways of writing help scientists and mathematicians stay organized. They have been building these ideas for a very long time.

There are many different types of norms used for different jobs. The most famous is the Euclidean norm. It finds the straight-line distance between two points, just like the Pythagorean theorem.

Vector norm sup
Vector norm sup

Another type is the Taxicab norm, also called the Manhattan norm. This measures distance as if a taxi were driving through a city grid of streets. You cannot drive through buildings, so you must follow the paths of the streets. There is also the Maximum norm, which only looks at the largest part of a vector. This is also known as the infinity norm.

These ideas connect to many things you see in the real world. You can use these norms to study complex numbers or even the math of music and signals. Some norms help us understand how many non-zero parts are in a list of numbers. In big cities, the Manhattan norm helps us plan paths for cars. Even in very large spaces with infinite parts, these rules still help us find order. Math gives us a way to measure the world, no matter how strange it looks.

Vector norms
Vector norms
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File:Vector norm sup.svg
Vector norm sup.svg
File:Vector norms.svg
Vector norms.svg
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