Connection between 1-Forms and Fourier Transform

In summary, the conversation discusses the relationship between complex exponentials and Fourier Transforms in 3-D space, as well as the concept of 1-forms introduced in the book "Gravitation" by Misner, Thorne, and Wheeler. There is a link between the x-vectors, vectors in frequency space, and surfaces defined by ξ.x = integer, and the 1-form is described as a machine that transforms vectors into numbers. The link between vectors and 1-forms is further explained in a link shared by the speaker.
  • #1
Phinrich
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TL;DR Summary
Wondering if there is any connection between the concepts of vectors and 1-forms AND the Fourier Transform.
Hi All.

I hope this question makes sense.

In the case of Fourier Transforms one has the complex exponentials exp(2..π i. ξ.x)

In 3-D, if we single out where the complex exponentials are equal to 1 (zero phase), which is when ξ.x is an integer, a given ( ξ1,ξ2,ξ3).defines a family ξ.x= integer of parallel planes (of zero phase) in (x1,x2,x3)-space.

The normal to any of the planes is the vector ξ = ( ξ1,ξ2,ξ3).


By contrast, the Book, “Gravitation” by Misner, Thorne and Wheeler, talks about “vectors” and “1 Forms” (page 53).

It states that vectors are well known geometric objects – Agreed. They then introduce the “1 Form” as a new geometric object. It is further stated that physics associates a de Broglie wave with each particle. The 1-form is then defined as the pattern of surfaces being surfaces of equal integral phase of the de Broglie waves.

We are then told to regard the 1-Form as “a machine” into which vectors are inserted and from which numbers emerge. Then <K.V> equals the number of surfaces (of equal integral phase) pierced by the vector v.

Is there any link between the x-vectors in 3-space (x1,x2,x3), the vectors in frequency space,( ξ1,ξ2,ξ3) and the surfaces defined by ξ.x = integer (being surfaces of zero phase) and the concept of the 1-Form from the book "Gravitation" ?
 

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  • #3
Vectors and 1-forms are isomorphic when there is a non-degenerate quadratic form associated with the vector space.
 
  • #4
Thank you for this. This is clear now.
 
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FAQ: Connection between 1-Forms and Fourier Transform

1. What is a 1-form and how is it related to the Fourier transform?

A 1-form is a mathematical concept used in multivariable calculus to represent a linear function that takes in a vector as input and outputs a scalar value. It is related to the Fourier transform as the Fourier transform of a function is a 1-form that maps the function to a set of complex numbers.

2. How does the Fourier transform help us understand the connection between different frequencies in a signal?

The Fourier transform breaks down a signal into its constituent frequencies, allowing us to see the amplitude and phase of each frequency component. This helps us understand how different frequencies are related and how they contribute to the overall signal.

3. Can the concept of 1-forms be applied to any type of signal or function?

Yes, the concept of 1-forms can be applied to any type of signal or function, as long as it is continuous and has a well-defined Fourier transform. This includes both continuous and discrete signals.

4. How does the Fourier transform relate to the concept of orthogonality?

The Fourier transform is closely related to the concept of orthogonality. In fact, the basis functions used in the Fourier transform (sine and cosine waves) are orthogonal to each other, meaning they are perpendicular and have no overlap. This allows us to decompose a signal into its orthogonal components using the Fourier transform.

5. What are some practical applications of understanding the connection between 1-forms and the Fourier transform?

Understanding the connection between 1-forms and the Fourier transform has many practical applications in fields such as signal processing, image processing, and data analysis. It allows us to analyze and manipulate signals in the frequency domain, which can provide valuable insights and improve the efficiency of various processes.

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