Differential forms and visualizing them

In summary, the conversation discusses the visualization of forms and linear functionals in relation to vector spaces. It is suggested to think of differential forms as "functionals that assign numbers to functions (vectors)" and that they can be thought of in the same way as linear functionals. The concept of a dot product is also discussed in terms of linear functionals.
  • #1
Storm Butler
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0
I made a post titled the same thing but it didnt seem to show up for some reason so if i am just reposting this over again i apologize.

I recently got the book A geometrical approach to differential forms by David Bachman. At the moment the biggest issue i am having is just visualizing what the form should look like/ be. The calculations for a one form and a vector are pretty much the same for a dot product so should the form be visualized as a vector? if so where is it and why does it have such an odd notation if it can't be visualized as a vector then how should we (I) picture it?

Thanks for any help you can give me
 
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  • #2
I think you will find it helpful to think in terms of "linear functionals". A linear functional is a linear transformation that maps a vector into a real number. One thing that can be shown is that, given a vector space, V, the set of all linear functionals from V to the real numbers is itself a vector space where, if f and g are linear functionals, a, b numbers, af+ bg is defined as the linear functional that maps v to af(v)+ bg(v).

If V has finite dimension n, then the set of linear functions, V*, has dimension n also and there is a one to one correspondence. Choosing basis for V, through that correspondence, automatically assigns a basis to V*. Specifically, if [itex]\{v_1, v_2, ..., v_n\}[/itex] is a basis for v, then the set of linear functionals, [itex]\{f_1, f_2, ..., f_n\}[/itex] where [itex]f_k[/itex] is defined by "[itex]f_k(v_k)= 1[/itex], [itex]f_k(v_i)= 0[/itex] if [itex]i\ne k[/itex] and extended to all vectors by "linearity"- if [itex]v= a_1v_1+ a_2v_2+ ...+ a_nv_n[/itex] then the functional corresponding to v is [itex]f_v= a_1f_{v_1}+ a_2f_{v_2}+ ... + a_nf_{v_n}[/itex].

Now, a more formal definition of "dot product" would be \(\displaystyle v\cdot u= f_v(u)\) where \(\displaystyle f_v\) is the linear functional corresponding to v.

The purpose of all that is to say that we can think of differential forms in exactly the same way- they are "functionals that assign numbers to functions (vectors)":
The differential form [itex]d\mu[/itex] assigns, to each function, x, [itex]\int f d\mu[/itex].
 

FAQ: Differential forms and visualizing them

What are differential forms?

Differential forms are mathematical objects that are used to describe geometric quantities such as length, area, and volume in multivariable calculus and differential geometry. They are represented by symbols such as dx, dy, and dz and can be thought of as a generalization of the concept of a derivative.

How are differential forms visualized?

Differential forms can be visualized using geometric objects such as vector fields, surfaces, and volumes. These objects help to illustrate the geometric properties and transformations described by the forms. For example, a one-form can be visualized as a vector field, while a two-form can be visualized as a surface.

What is the significance of differential forms in mathematics?

Differential forms play a crucial role in many areas of mathematics, including calculus, differential geometry, and topology. They provide a powerful tool for describing and calculating geometric quantities and transformations, and are essential for understanding more advanced mathematical concepts such as Stokes' theorem and de Rham cohomology.

How are differential forms used in physics?

In physics, differential forms are used to describe physical quantities and relationships in a geometric and coordinate-independent way. They are particularly useful in the study of electromagnetism, general relativity, and other areas of theoretical physics where understanding the underlying geometry is essential.

Are there any real-life applications of differential forms?

Yes, there are many real-life applications of differential forms, particularly in engineering and physics. They are used in fields such as fluid dynamics, computer graphics, and computer vision to model and analyze complex systems and phenomena. Differential forms also have applications in data analysis and machine learning, where they can be used to represent and process high-dimensional data.

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