Page

**1**

Slide 1

Finding Reduced Basis for Lattices

Ido Heskia

Math/Csc 870

Slide 2

Due to:

A.K. Lenstra

H.W. Lenstra

L. Lovasz

LLL Algorith

Introduction

Slide 3

1.

2.

Slide 4

Let n be a positive integer. A subset L of the n-dimensional real vector space is

called a lattice if there exists a basis b1,b2,…,bn of such that

The bi’s span L.

n is the rank of L.

We will consider only

Slide 5

Constructing lattices:

Slide 6

Determinant of L:

The bi’s are written as column

vectors. Apparently, this positive

real number doesn’t depend on the

choice of the basis.

Slide 7

Let be linearly independent. Suppose it is a basis for

We perform the Gram-Schmidt process:

b1

b2

b2

0

0

L

0

Slide 8

Similarly, define:

Forms an orthogonal basis of L

Dividing by shortens our vectors.

Slide 9

A basis b1, ,bn of a lattice is called reduced if :

for

* ¾ can be replaced by any ¼<y<1

* | | is Euclidean length.

Slide 10

Factoring polynomials with rational coeffecients

For example:

Lives in

Slide 11

An irreducible polynomial over a field is

non-constant and cannot be

represented as the product of at-least 2

non-constant Polynomials.

Reducible (over ):

Irreducible:

Slide 12

How to find, for a given non-zero

polynomial in its decomposition into

Irreducibles?

Factor primitive polynomials

(gcd of all coeffecients of f is 1)

Into irreducible factors in

Use LLL

Slide 13

Given , and

Find such that:

Or

Slide 14

Go to page:

1 2

1 2

- A Lattice
- Applications
- Simultaneous Diophantine approximations
- Cryptography
- Sums of squares
- abc Conjecture

- Simulation at NASA for the Space Radiation Effort
- Mechanics Lecture
- Solar Energy
- Newton’s laws of motion
- Sound
- Geophysical Concepts, Applications and Limitations
- Madame Marie Curie

© 2010-2019 powerpoint presentations