# Application of Geometric Algebra to Electromagnetic by Andrew Seagar

By Andrew Seagar

This paintings offers the Clifford-Cauchy-Dirac (CCD) method for fixing difficulties related to the scattering of electromagnetic radiation from fabrics of all kinds.

It permits a person who's to grasp strategies that result in easier and extra effective strategies to difficulties of electromagnetic scattering than are presently in use. The approach is formulated when it comes to the Cauchy kernel, unmarried integrals, Clifford algebra and a whole-field process. this is often unlike many traditional strategies which are formulated when it comes to Green's capabilities, double integrals, vector calculus and the mixed box crucial equation (CFIE). while those traditional options bring about an implementation utilizing the tactic of moments (MoM), the CCD process is carried out as alternating projections onto convex units in a Banach space.

The final consequence is an vital formula that lends itself to a extra direct and effective resolution than conventionally is the case, and applies with no exception to every kind of fabrics. On any specific laptop, it ends up in both a quicker resolution for a given challenge or the facility to unravel difficulties of larger complexity. The Clifford-Cauchy-Dirac procedure deals very genuine and critical benefits in uniformity, complexity, velocity, garage, balance, consistency and accuracy.

By Andrew Seagar

This paintings offers the Clifford-Cauchy-Dirac (CCD) method for fixing difficulties related to the scattering of electromagnetic radiation from fabrics of all kinds.

It permits a person who's to grasp strategies that result in easier and extra effective strategies to difficulties of electromagnetic scattering than are presently in use. The approach is formulated when it comes to the Cauchy kernel, unmarried integrals, Clifford algebra and a whole-field process. this is often unlike many traditional strategies which are formulated when it comes to Green's capabilities, double integrals, vector calculus and the mixed box crucial equation (CFIE). while those traditional options bring about an implementation utilizing the tactic of moments (MoM), the CCD process is carried out as alternating projections onto convex units in a Banach space.

The final consequence is an vital formula that lends itself to a extra direct and effective resolution than conventionally is the case, and applies with no exception to every kind of fabrics. On any specific laptop, it ends up in both a quicker resolution for a given challenge or the facility to unravel difficulties of larger complexity. The Clifford-Cauchy-Dirac procedure deals very genuine and critical benefits in uniformity, complexity, velocity, garage, balance, consistency and accuracy.

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Extra resources for Application of Geometric Algebra to Electromagnetic Scattering: The Clifford-Cauchy-Dirac Technique

Sample text

A8. 2 + 5e1 + 4e2 + 6e1 e2 . Q9. Calculate the inner product a ∨ b of the two Clifford numbers a = 2 − 1e1 and b = 1 + 3e1 + 2e2 + 4e1 e2 . A9. −1 + 7e1 + 8e1 e2 . Q10. Calculate the left inner product a b of the two Clifford numbers a = 2 − 1e1 and b = 1 + 3e1 + 2e2 + 4e1 e2 . A10. −1 + 6e1 + 8e1 e2 . Q11. Calculate the right inner product a b of the two Clifford numbers a = 2 − 1e1 and b = 1 + 3e1 + 2e2 + 4e1 e2 . A11. −1 − 1e1 . Q12. Calculate the scalar product (a, b) of the two Clifford numbers a = 2 − 1e1 and b = 1 + 3e1 + 2e2 + 4e1 e2 .

For an m-dimensional vector the index plays the role of m integers, one for each of the m units therein. Integer values may well be chosen in the range from 0 to m − 1 or from 1 to m, according to preference. 5) where x p = x p−1 and e p = e p−1 . For problems in electromagnetism the unit e0 is taken to represent the dimension of time or frequency, and the units e1 , e2 , e3 are taken to represent the three orthogonal dimensions of space. 6) S The x S are the coefficients, and the e S are units from all grades, being either absolute, primal, or evolved.

24 gives the representation of a Clifford number of dimension m = 2. Repeating the substitution recursively gives the representations of Clifford numbers for successively higher dimensions. 7. The tree structure contains only the coefficients a S of the components of a Clifford number. The units e S need never be recorded explicitly. They can always be determined from the position of the coefficients in the tree. Multiplication as described in Sect. 8 Recursive multiplication of Clifford numbers in Reduce code procedure cmulx(U,Z); if tlist(U)=1 and tlist(Z)=1 then list(subx(cmulx(first(U),first(Z)),cmulx(second(U),invc(second(Z)))), addx(cmulx(first(U),second(Z)),cmulx(second(U),invc(first(Z))))) else if tlist(U)=0 and tlist(Z)=0 then U*Z else write "bad arguments to cmulx"; m=4 32 2 Numbers and Arithmetic bers.