On the mathematical structure of electromagnetic theory Lauri - - PowerPoint PPT Presentation

on the mathematical structure of electromagnetic theory
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On the mathematical structure of electromagnetic theory Lauri - - PowerPoint PPT Presentation

On the mathematical structure of electromagnetic theory Lauri Kettunen, Jari Kangas, Timo Tarhasaari Institute of Electromagnetics One theory, different languages: Classical vector analysis Differential forms


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On the mathematical structure

  • f electromagnetic theory

Lauri Kettunen, Jari Kangas, Timo Tarhasaari

Institute of Electromagnetics

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One theory, different ”languages”:

Classical vector analysis Differential forms

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… or in terms of chains and cochains

Now, let’s ask: Are these various forms of the theory ”equal”?

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Different languages do represent the very same theory, but they start from different assumptions. Vector analysis has its pedagogical advantages in representing electromagnetism, … but it starts from the metric structure

(The metric structure is what makes the approach pedagogical; For, lengths, areas, volumes, norms, etc are all in use.)

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Modern approach

  • …based on differential forms, (co)chains, etc.

is more abstract, for less structure is assumed at the first place.

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In computing …

  • … the advantage is: less structure

results in more simple code

Basic idea: Employ only the structure which is necessary.

As a result the underlying code is more generic and less complicated to develop and maintain.

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Recognition of the structure ...

  • enables one to formalize and properly solve

certain questions (S. Suuriniemi’s talk)

  • enables one to circumvent some technical

problems which are considered difficult (P. Raumonen’s talk)

Recognition of the employed structure yields a better understanding of the underlying physics behind electromagnetism

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The expected advantages has created a trend

  • f geometrization in electromagnetism
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List of needs in computation:

  • 1. A discrete counterpart to a smooth manifold M
  • 2. A discrete counterpart to differential forms, i.e.

cochains

  • 3. A discrete counterpart to integration, i.e.

evaluation of cochains on chains

  • 4. A discrete coboundary d with discrete version
  • f Stokes theorem <du,c> = <u, bd c>
  • 5. A discrete version of the global inner product of

forms [ , ]

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  • 6. A discrete Hodge operator
  • 7. A discrete wedge product and volume form
  • 8. A discrete adjoint coboundary map
  • 9. All of this should converge to the continuum

theory in an appropriate limit

  • 10. These are all compatible with the expected

relations holding such as [u,v] = int_M u/\*v= int_M (u,v) vol,

Ref: Discussion with J. Harrison, Univ. Berkeley and

  • A. Bossavit, Univ. Paris
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Chainlet theory ...

  • basically includes all this, but it is not yet

known, how chainlets should be capitalized in finite element kind of computing

Chainlet theory, ref: J. Harrison