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Geometric calculus identities

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The following are important and widely-used identities involving derivatives and integrals in geometric calculus.[1]

Operator notation

Vector derivative

Directional derivative

Interior derivative

Exterior derivative

Hestenes' over-dot notation

First derivative identities

Distributive rules

For a vector xโ†’ in a geometric algebra of (non-degenerate) dimension n, xโ†’=n, and xโ†’=0. If aโ†’ is a constant vector with respect to xโ†’, then

aโ†’=0,(xโ†’aโ†’)=naโ†’,(xโ†’aโ†’)=(aโ†’)xโ†’=aโ†’,(xโ†’aโ†’)=(xโ†’aโ†’)=naโ†’aโ†’.

The first two rules above also hold if aโ†’ is replaced with any multivector A that does not depend on xโ†’.

The vector derivative, like the standard derivative, is also distributive over addition. That is, for any arbitrary multivector-valued functions F and G,

(F+G)=F+G.

Similarly, combining this with the above multiplication rule, this also holds for subtraction, where

(FG)=FG.

Product rule

The product rule in geometric algebra can be stated as follows:

(FG)=(F)G+ห™FGห™

or, when F commutes with all vectors in the algebra,

(FG)=(F)G+F(G),

analogously to the product rule in single-variable calculus.[2]:14

Chain rule

For a scalar-valued function λ(xโ†’) and an arbitrary multivector-valued function F,

xโ†’F(λ(xโ†’))=(xโ†’λ)Fλ,

and for a vector-valued function yโ†’(xโ†’) and an arbitrary multivector-valued function F,

xโ†’F(yโ†’(xโ†’))=((xโ†’yโ†’)yโ†’)F(yโ†’),

analogous to the chain rule commonly seen with pure scalar functions.[2]:15

Second derivatives

Laplacian

Curl of curl is zero

Divergence of divergence

Divergence of curl

List of derivatives for common functions

Vector derivatives of functions with vector-valued inputs

Table of common functions[2]:17-18

function F(xโ†’) F(xโ†’) F(xโ†’) F(xโ†’)
xโ†’ n n 0
xโ†’aโ†’ aโ†’ 0 aโ†’
xโ†’A nA
|xโ†’| x^ x^ 0
|xโ†’|k k|xโ†’|k1x^ k|xโ†’|k1x^ 0
|xโ†’|kxโ†’ (2+k)|xโ†’|k (2+k)|xโ†’|k 0
G(|xโ†’|) x^G|xโ†’|
G(xโ†’xโ†’) G G G

List of common identities

Gradient

  • (ψ+ϕ)=ψ+ϕ
  • (ψϕ)=ψ(ϕ)+ϕ(ψ)
  • ϕ=ϕ,ϕ=0
  • (uโ†’vโ†’)=(uโ†’)vโ†’+(vโ†’)uโ†’uโ†’(vโ†’)vโ†’(uโ†’)

Interior derivative

  • (ϕvโ†’)=(ϕ)vโ†’+ϕ(vโ†’)
  • (uโ†’vโ†’)=(uโ†’)vโ†’+(uโ†’)vโ†’(vโ†’)uโ†’(vโ†’)uโ†’

Exterior derivative

  • (ϕvโ†’)=(ϕ)vโ†’+ϕ(vโ†’)
  • (uโ†’vโ†’)=(uโ†’vโ†’)
  • (uโ†’vโ†’)=vโ†’(uโ†’)uโ†’(vโ†’)

Second derivatives

  • (ϕ)=0
  • (F)=0
  • (F)=0
  • (ϕ)=2ϕ
  • 2F=(F)+(F) (multivector Laplacian)

Multivector derivatives of functions with multivector-valued inputs

Table of common functions[3]

function F(X) XF(X)
X n
|X|k k|X|k2X~
|X|kX k|X|k2X~X+n|X|k
ln(|X|) X~|X|2
G(|X|) X~|X|G|X|

Integration

Definition

Coordinate-free form of derivative

Fundamental theorem of geometric calculus

Specific cases of the FTGC

References

  1. โ†‘ 1.0 1.1 David Hestenes, Garrett Sobczyk: Clifford Algebra to Geometric Calculus, a Unified Language for mathematics and Physics (Dordrecht/Boston:G.Reidel Publ.Co., 1984, ISBN 90-277-2561-6 Search this book on .
  2. โ†‘ 2.0 2.1 2.2 2.3 Hestenes, David (1980). "1. Synopsis of Geometric Algebra". New Foundations for Mathematical Physics. Retrieved 12 May 2023. Search this book on
  3. โ†‘ Hitzer, Eckhard (December 2002). "Multivector Differential Calculus". Advances in Applied Clifford Algebras. 12 (2): 135โ€“182. arXiv:1306.2278. doi:10.1007/BF03161244. Unknown parameter |s2cid= ignored (help)
  4. โ†‘ Taylor, M. D. (2 August 2021). An Introduction to Geometric Algebra and Geometric Calculus. University of Central Florida. ISBN 978-1-7365269-0-3. Search this book on


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