The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language...

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The Spectral Basis of a Linear Operator Garret Sobczyk Universidad de Las Americas-P Cholula, Mexico http://www.garretstar.com Thursday Jan. 10, 2013, 2PM AMS/MAA Joint Math Meeting San Diego Convention Center

Transcript of The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language...

Page 1: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

The Spectral Basis of

a Linear Operator Garret Sobczyk

Universidad de Las Americas-P

Cholula, Mexico

http://www.garretstar.com

Thursday Jan. 10, 2013, 2PM

AMS/MAA Joint Math Meeting

San Diego Convention Center

Page 2: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Abstract The idea of a spectral basis first arises in modular or clock

arithmetic but is an even more powerful tool in linear algebra and

numerical analysis. The spectral basis of a linear operator,

uniquely determined by its minimal polynomial, exhibits the

macro structure of a linear operator in terms of the basic building

blocks of mutually annihilating idempotents and nilpotents which

determine its generalized eigenspaces. These ideas are only

part of a much larger program developed by the author in his

new book, "New Foundations in Mathematics: The Geometric

Concept of Number" (Birkhauser 2013), which uses geometric

algebra to present an innovative approach to elementary and

advanced mathematics. Starting with linear algebra, geometric

algebra offers a simple and robust means of expressing a wide

range of ideas in mathematics, physics, and engineering.

Page 3: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral
Page 4: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

What is Geometric Algebra?

Geometric algebra is the completion of the real number system to include new anticommuting square roots of plus and minus one, each such root representing an orthogonal direction in successively higher dimensions.

Page 5: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Contents

I. Beyond the Real Numbers.

a) Clock arithmetic.

b) Modular polynomials and approximation.

b) Complex numbers.

c) Hyperbolic numbers.

II. The Geometric Concept of Number.

III. Linear Algebra and Matrices.

a) Matrices of geometric numbers.

b) Geometric numbers and determinants.

c) The spectral decomposition.

IV. Splitting Space and Time.

Page 6: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Contents V. Geometric Calculus. VI. Differential Geometry.

VII. Non-Euclidean and Projective Geometries

a) The affine plane

b) Projective geometry

c) Conics

d) The horosphere

VIII. Lie groups and Lie algebras.

a) Bivector representation

b) The general linear group

c) Orthogonal Lie groups and algebras

d) Semisimple Lie Algebras

IX. Conclusions

X. Selected References

Page 7: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Clock Arithmetic

12 = 3x22

Spectral equation: s1 + s2 = 1 or

3(s1 + s2 ) = 3 s2 = 3. This implies that

9 s2 = s2 = 9, and s1 = 4. Now define

q2 = 2 s2 = 6. Spectral basis: { s1, s2, q2}

idempotents: s12 = 16 = 4 mod 12 = s1

s22 = 81 = 9 mod 12 = s2

nilpotent: q22 = 36 = 0 mod 12, s1 s2 = 0 mod 12

Page 8: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Clock Arithmetic: 12 = 3x22

A calculation: 5s1 + 5s2 = 5mod(12) or

2s1 + 1s2 = 5 mod(12). It follows that

2ns1 + 1ns2 = 5n mod(12) for all integers n.

n=-1 gives 1/5 = 2s1 + 1s2 = 5 mod(12) and

n=100 gives 5100 = s1 + s2 = 1 mod(12) .

Page 9: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Modular Polynomials and Interpolation mod(h(x))

Page 10: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral
Page 11: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Complex and Hyperpolic Numbers

u2=1

Page 12: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Hyperbolic Numbers

Page 13: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

:

Geometric Numbers G2 of the Plane

Standard Basis of

G2={1, e1, e2, e12}.

where i=e12 is a unit

bivector.

Page 14: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Basic Identities ab =a.b+a^b

a.b=½(ab+ba)

a^b=½(ab-ba)

a2=a.a= |a|2

Page 15: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Geometric Numbers of 3-Space

a^b=i axb

a^b^c=[a.(bxc)]i

where i=e1e2e3=e123

a.(b^c)=(a.b)c-(a.c)b

= - ax(bxc).

Page 16: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Reflections L(x) and Rotations R(x)

where |a|=|b|=1 and

Page 17: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Matrices of the Geometric Algebra G2

Recall that G2=span{1, e1, e2, e12}.

By the spectral basis of G2 we mean

where

are mutually annihiliating idempotents.

Note that e1 u+ = u- e1.

Page 18: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

For example, if

then the element g Ɛ G2 is

We find that

Page 19: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Matrices of the Geometric Algebra G3

We can get the complex Pauli matrices

from the matrices of G2 by noting that

e1 e2 = i e3 or e3 = -i e1 e2,

where i = e123 is the unit element of

volume of G3. We get

Page 20: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Geometric numbers and determinants

Let a1, a2 , . . ., an be vectors in Rn, where

Then

Page 21: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Spectral Decomposition

Let

with the characteristic polynomial

φ(x)=(x-1)x2. Recall that the spectral basis for

this polynomial was

Replacing x by the matrix X, and 1 by the identity 3x3

matrix gives

Page 22: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

It follows that the spectral equation for X is

X=1 S1 + 0 S2 + Q2,

with the eigenvectors

We now obtain the Jordan Normal Form for X

Page 23: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Splitting Space and Time

The ordinary rotation

is in the blue plane of

the bivector i=e12. The

blue plane is boosted

into the yellow plane by

with the velocity v/c = Tanh ɸ.

The light cone is shown in red.

Page 24: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Minkowski Space R1,3

g0 is timelike,

g1 g2 g3 spacelike

Page 25: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Spacetime Algebra G1,3 We start with

We factor e1, e2, e3 into Dirac bivectors,

where

Page 26: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Conformal Mappings

Conformal mapping the unit

cylinder onto the figure

shown.

Page 27: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

A more exotic

conformal mapping of

the hyperboloid like

figure into the figure

surrounding it.

Page 28: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Non-Euclidean and Projective

Geometries

The affine

plane. Each

point x in Rn

determines a

unique point xh

in the affine

plane.

Page 29: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Desargue’s Configuration

Thm: Two triangles

are in perspective

axially if and only

if they are in

perspective

centrally.

Page 30: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

The Horosphere

Any conformal

transformation can

be represented by

an orthogonal

transformation on

the horosphere.

Page 31: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral
Page 32: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Lie Algebras and Lie Groups

Let Gn,n be the 22n-dimensional geometric algebra with

neutral signature. The Witte basis consists of two

dual null cones:

We now construct the matrix of bivectors

Page 33: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

These bivectors are the generators of the

general linear Lie algebra gln,

with the Lie bracket product

Each bivector F generates a linear transformation f,

defined by

Page 34: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

General Linear Group

The general linear group GLn is obtained from

the Lie algebra gln by exponentiation. We have

GLn = { G=eF | F Ɛ gln }.

Consider now the one parameter subgroups

defined for each G Ɛ gln by

gt(x)=e½tF x e-½tF

where x=∑xi ai and t Ɛ R. Differentiating gives

It follows that

Page 35: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Conclusions • The spectral basis of idempotents and nilpotents define

both the eigenvalues and eigenspaces of a linear operator.

• The spectral basis also has important applications in number theory, numerical analysis and advanced mathematics.

• Geometric algebra is built upon the geometric concept of number and offers new tools for the study of linear algebra and projective geometry, and provides a unified approach to diverse areas of mathematics, physics and the engineering sciences.

• I hope my selection of topics has been sufficiently broad to show that geometric algebra and the Geometric Concept of Number provides a New Foundation for Mathematics.

Page 36: The Spectral Basis of a Linear OperatorClifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992. G. Sobczyk, The missing spectral

Selected References W.K. Clifford, Applications of Grassmann's extensive algebra, Amer. J. of Math.

1 (1878), 350-358.

P. J. Davis, Interpolation and Approximation, Dover Publications, New York, 1975.

T.F. Havel, GEOMETRIC ALGEBRA: Parallel Processing for the Mind (Nuclear Engineering) 2002. http://www.garretstar.com/secciones/

D. Hestenes, New Foundations for Classical Mechanics, 2nd Ed., Kluwer 1999.

D. Hestenes and G. Sobczyk. Clifford Algebra to Geometric Calculus: A Unified Language for Mathematics and Physics, 2nd edition, Kluwer 1992.

G. Sobczyk, The missing spectral basis in algebra and number theory, The American Mathematical Monthly 108 April 2001, pp. 336-346.

P. Lounesto, Clifford Algebras and Spinors, 2nd Edition. Cambridge University Press, Cambridge, 2001.

G. Sobczyk, Hyperbolic Number Plane, The College Mathematics

Journal, 26:4 (1995) 268-280.

G. Sobczyk, The Generalized Spectral Decomposition of a Linear Operator, The College Mathematics Journal, 28:1 (1997) 27-38.

G. Sobczyk, Spacetime vector analysis, Physics Letters, 84A, 45 (1981).

J. Pozo and G. Sobczyk. Geometric Algebra in Linear Algebra and Geometry}.

Acta Applicandae Mathematicae, 71: 207--244, 2002.

Note: Copies of many of my papers and talks can be found on my website:

http://www.garretstar.com