Norm of a function ||f|| & the root mean square of a function.

In summary, the norm of a function ||f|| in an inner product space is typically defined as the square root of the inner product of f with itself. For example, in the inner product space C[0,\pi], the norm of a function f(x) = sin(x) would be equal to the square root of the integral of f^2(x) from 0 to \pi. This is also known as the "root mean square" of a function. To find the norm of a function, you can apply the definitions and calculate the integral of f^2(x).
  • #1
squenshl
479
4
norm of a function ||f|| & the "root mean square" of a function.

How do I explain the connection between the norm of a function ||f|| & the "root mean square" of a function. You may like to consider as an example C[0,[tex]\pi[/tex]], the inner product space of continuous functions on the interval [0,[tex]\pi[/tex]] with the inner product
(f,g) = [tex]\int_0^\pi[/tex] f(x)g(x) dx.
Let f(x) = sin(x). How do I find ||f||. Also find "root mean square" of f. What do you notice?
 
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  • #2


Well, have you tried using the definitions and applying them to this particular f?
 
  • #3


Morphism's point is that |f| is normally defined, in an inner product space, as the square root of the inner product of f with itself. So if
[tex](f, g)= \int_0^\pi f(x)g(x)dx[/tex]
Then
[tex]|f|= \sqrt{\int_0^\pi f^2(x) dx[/tex]

Now, what is
[tex]\sqrt{\int_0^\pi sin^2(x) dx[/tex]?
 

FAQ: Norm of a function ||f|| & the root mean square of a function.

What is the norm of a function?

The norm of a function, denoted as ||f||, measures the "size" or "length" of a function. It is calculated by taking the square root of the integral of the absolute square of the function over its domain. Essentially, it tells us how much energy or amplitude the function has.

How is the norm of a function different from the root mean square (RMS) of a function?

The norm of a function and the RMS of a function are related, but they are not the same. While the norm measures the overall "size" of a function, the RMS measures the average magnitude of the function over its domain. In other words, the RMS takes into account both the amplitude and the frequency of a function.

Why is the norm of a function important in mathematics and science?

The norm of a function is important because it allows us to quantify the "size" or "length" of a function. This can be useful in various applications, such as signal processing, image analysis, and physics, where the energy or amplitude of a function is a crucial factor.

How is the norm of a function used in practical applications?

The norm of a function is used in various practical applications, such as determining the convergence of a series, finding the best approximation of a function, and solving optimization problems. It is also used in the study of Hilbert spaces, a mathematical framework that is essential in many areas of physics and engineering.

Can the norm of a function be negative?

No, the norm of a function cannot be negative. By definition, the norm is a non-negative value that represents the "size" of a function. It is always equal to or greater than 0, and it is only equal to 0 if the function itself is equal to 0 over its entire domain.

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