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February 2004

**Polynomials in the Nation’s Service: Using Algebra to Design the Advanced Encryption Standard**

by Susan Landau

susan.landau@sun.com

Cryptography, the science of transforming communications so that only the intended recipient can understand them, should be a mathematician’s playground. Certain aspects of cryptography are indeed quite mathematical. Both Diffie-Hellman key exchange and the RSA encryption algorithm (http://www.rsasecurity.com/rsalabs/faq3-1.html) rely on elementary number theory, while elliptic curves power more advanced public-key systems.

Such public-key cryptography has captured mathematicians’ attention, but this type of cryptography is in fact far too slow for most needs and is typically used only for key exchange. Private- or symmetric-key cryptosystems are the real workhorses of the encryption world. Until recently most private-key cryptosystems lacked an overarching mathematical theory. That changed in 2001, with the government’s choice of Rijndael as the Advanced Encryption Standard (http://www.esat.kuleuven.ac.be/~rijmen/rijndael).

Rijndael variously uses *x*^{-1}, *x*^{7} +*x*^{6} + *x*^{2} + *x*, *x*^{7} + *x*^{6} + *x*^{5} + *x*^{4} + 1, *x*^{4} + 1, 3*x*^{3} + *x*^{2} + *x* + 2, and *x*^{8} +1 to provide cryptographic security. (Of course, x^{-1} is not strictly a polynomial, but in the finite field GF(2^{8}) *x*^{-1} = *x*^{254} and so we will consider it one.) Polynomials provide Rijndael’s structure and yield proofs of security. This paper demonstrates how polynomials came to play a critical role in what may become the most widely used cryptographic algorithm of the new century.

**Isoperimetric and Isoparametric Problems**

by Tom M. Apostol and Mamikon A. Mnatsakanian

Traditional isoperimetric problems ask for the region of maximal area among all plane regions having equal perimeters. This paper deals instead with plane regions that have equal perimeters and equal areas. We call such regions isoparametric and introduce the isoparametric problem: find incongruent isoparametric regions of specified shapes. Surprisingly, incredibly many solutions exist, and the problem opens a broad new field of research. Simple examples include a square and two different circular sectors, a rectangle and two different isosceles triangles. The general problem is analyzed with the help of the contour ratio, a replacement of the classical isoperimetric quotient. Two contours can be scaled to become isoparametric if and only if they have the same contour ratio. The problem becomes more interesting and more difficult when it is extended to rings, regions between two similar simple closed curves. General conditions, involving certain constraints, are formulated for two rings to be isoparametric. For example, although a square and a circular disk are never isoparametric, a square ring and a circular ring can be isoparametric, unless the hole in the circular ring is too small to make a significant contribution to the total perimeter and area.

**Orbits of Orbs: Sphere Packing Meets Penrose Tilings**

by Charles Radin

radin@math.utexas.edu

The venerable study of optimum density problems, such as arranging spheres as efficiently as possible, has been revitalized by investigations on aperiodicity, a subject best known through the Penrose kite & dart tilings. The result is a generalization of the basic notion of geometric symmetry for patterns in space.

**Notes**

**When are There Infinitely Many Irreducible Elements in a Principal Ideal Domain?**

by Fabrizio Zanello

fabrizio@mast.queensu.ca

**Solving Inequalities and Proving Farkas’s Lemma Made Easy**

by David Avis and Bohdan Kaluzny

avis@cs.mcgill.ca, beezer@cs.mcgill.ca

**Cauchy’s Interlace Theorem for Eigenvalues of Hermitian Matrices**

by Suk-Geun Hwang

sghwang@knu.ac.kr

**New Designs for the Descartes Rule of Signs**

by Michael Schmitt

mschmitt@lmi.ruhr-uni-bochum.de

**Problems and Solutions**

**Reviews**

**Inequalities from Complex Analysis**

by John P. D’Angelo

Reviewed by Steven R. Bell

bell@math.purdue.edu

**A Course in Convexity**

by Alexander Barvinok

Reviewed by Margaret M. Bayer

bayer@math.ukans.edu