Complete set of multi-variable functions

In summary, there is a possibility to find a set of functions ## \phi_n(x,y) ## in the Hilbert space ## L^2([a,b] \times [a,b]; \mathbb{C}) ## that allows for writing an arbitrary function ## f(x,y)=\sum_n c_n \phi_n(x,y) ## and using orthonormality relations to find the coefficients. However, this is not possible for an arbitrary function without considering the specific Hilbert space.
  • #1
ShayanJ
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We know that in the space of functions, its possible to find a complete set so that you can write for an arbitrary function f, ## f(x)=\sum_n a_n \phi_n(x) ## and use the orthonormality relations between ## \phi##s to find the coefficients.
But is it possible to find a set of functions ## \phi_n(x,y) ## such that you can write for an arbitrary function of x and y ## f(x,y)=\sum_n c_n \phi_n(x,y) ##? Is there any orthonormality relation that let's you find the coefficients?
Thanks
 
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  • #2
Shyan said:
But is it possible to find a set of functions ##\phi_n(x,y)## such that you can write for an arbitrary function of ##x## and ##y## ##f(x,y)=\sum_n c_n \phi_n(x,y)## ? Is there any orthonormality relation that let's you find the coefficients?

For an arbitrary function, the answer is "no".

However, if you consider, for example, the Hilbert space ##L^2([a,b] \times [a,b]; \mathbb{C})## (with the inner product equal to the iterated integral) then the answer is "yes". In that case an orthonormal basis is obtained by taking products of the functions that form any orthonormal basis of ##L^2([a,b]; \mathbb{C})##. This is proven in most introductory functional analysis books.
 
  • #3
Shyan said:
We know that in the space of functions

What does "The space of functions" even mean here?
 
  • #4
micromass said:
What does "The space of functions" even mean here?
I got my answer from Krylov's post. I'll be more careful in the future.
 

Related to Complete set of multi-variable functions

1. What is a complete set of multi-variable functions?

A complete set of multi-variable functions refers to a group of functions that can be used to represent any possible combination of multiple independent variables. These functions are typically used in mathematical models to represent complex relationships between variables.

2. How is a complete set of multi-variable functions determined?

A complete set of multi-variable functions can be determined using a technique called the Gram-Schmidt process. This process involves finding a set of functions that are orthogonal (perpendicular) to each other and then normalizing them to create a complete set.

3. What is the significance of a complete set of multi-variable functions?

A complete set of multi-variable functions is important because it allows for the representation of any possible combination of variables in a mathematical model. This can be useful in fields such as physics, economics, and engineering where complex relationships between variables need to be analyzed and understood.

4. Can a complete set of multi-variable functions be used for any type of function?

Yes, a complete set of multi-variable functions can be used for any type of function, including polynomial, trigonometric, and exponential functions. The key is to find a set of functions that are orthogonal to each other and can be used to represent any possible combination of variables.

5. How is a complete set of multi-variable functions applied in practical situations?

A complete set of multi-variable functions can be applied in many practical situations, such as designing new technologies, predicting financial trends, and analyzing physical systems. By using these functions, scientists and engineers can better understand the relationships between variables and make more accurate predictions and decisions.

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