Expo Algebra Lineal

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Expo de FC para Algebra Lineal

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Elementary Linear AlgebraUVM/IIS

Thursday, July 8, 2010

EUCLIDEAN SPACE

Thursday, July 8, 2010

Euclidean Space is

The Euclidean plane and three-dimensional space of Euclidean geometry, as well as the generalizations of these notions to higher dimensions.

The term “Euclidean” is used to distinguish these spaces from the curved spaces of non-Euclidean geometry and Einstein's general theory of relativity.

Thursday, July 8, 2010

Euclidean Space

Euclidean n-space, sometimes called Cartesian space, or simply n-space, is the space of all n-tuples of real numbers (x1, x2, ..., xn).

It is commonly denoted R , although older literature uses the symbol E .

n

n

Thursday, July 8, 2010

Euclidean Space

R is a vector space and has Lebesgue covering dimension n.

Elements of R are called n-vectors.

R = R is the set of real numbers (i.e., the real line)

R is called the Euclidean Space.

n

n

1

2

Thursday, July 8, 2010

One DimensionR = R is the set of real numbers (i.e., the real line)

0-∞ ∞

0-∞ ∞1

√ 2

√ 2(1.41)

1

Thursday, July 8, 2010

Two DimensionsR is called the Euclidean Space.

-∞ ∞

0

-∞

P(-2, 1)

2

Thursday, July 8, 2010

Three Dimensions

-∞ ∞

0

-∞

P(2, 2, -2)y

x

z

Thursday, July 8, 2010

n Dimensions

R Space of One Dimension (x, y)

R Space of Two Dimensions (x, y)

R Space of Three Dimensions (x, y, z)

R Space of Four Dimensions (x1, x2, x3, x4)

R Space of n Dimensions (x1, x2, x3, ...., xn)

1

2

3

4

n

Thursday, July 8, 2010

SOLUTION OF EQUATIONS

Thursday, July 8, 2010

Solutions of Systems of Linear Equations

-∞ ∞

0

-∞

x1 + x2 = 1

x1 - x2 = 1

x1 = 1

x2 = 0

HAS ONLY ONE SOLUTION:

Thursday, July 8, 2010

Solutions of Systems of Linear Equations

-∞ ∞

0

-∞

x1 + x2 = 1

x1 + x2 = 2

HAS NO SOLUTIONS

Thursday, July 8, 2010

Solutions of Systems of Linear Equations

-∞ ∞

0

-∞

x1 + x2 = 1

2x1 + 2x2 = 2

HAS INFINITELY MANY SOLUTIONS

Thursday, July 8, 2010

Solutions of Systems of Linear Equations

No solutions

Exactly one solution

Infinitely many solutions

A SYSTEM OF LINEAR EQUATIONS CAN HAVE EITHER:

In general:

Definition: If a system of equations has no solutions it is called an inconsistent system. Otherwise the system is consistent.

Thursday, July 8, 2010

Matrix NotationMATRIX = RECTANGULAR ARRAY OF NUMBERS

0 1 -2 4

2 0 0 1

1 1 3 9

EVERY SYSTEM OF LINEAR EQUATIONS CAN BE REPRESENTED BY A MATRIX

( () ) ))3 -1 1

2 0 2

Thursday, July 8, 2010

Elementary Row Operations

1. INTERCHANGE OF TWO ROWS

0 1 -2 4

2 0 0 1

1 1 3 9( ) ))1 1 3 9

2 0 0 1

0 1 -2 4( )

Thursday, July 8, 2010

Elementary Row Operations

2. MULTIPLICATION OF A ROW BY A NON-ZERO NUMBER

1 0 3 4

2 1 2 3

5 5 1 0( ) ))1 0 3 4

6 3 6 9

5 5 1 0( )*3

Thursday, July 8, 2010

Elementary Row Operations

3. ADDITION OF A MULTIPLE OF ONE ROW TO ANOTHER ROW

1 0 3 4

2 1 2 3

5 5 1 0( ) ))1 0 3 4

2 1 2 3

7 5 7 8( )*2

Thursday, July 8, 2010

How to Solve Systems of Linear Equations

))-1 2 3 4

2 0 6 9

4 -1 -3 0( )-x1 + 2x2 + 3x3 = 4

2x1 + 6x3 = 9

4x1 - x2 - 3x3 = 0

( )NICE MATRIX

x1 = ...

x2 = ...

x3 = ...

Thursday, July 8, 2010

Linear Algebra ApplicationGoogle PageRank

Thursday, July 8, 2010

Early Search Engines

DATABASE OFWEB SITES

SEARCH QUERY

LIST OF MATCHING WEBSITESIN RANDOM ORDER

PROBLEM: HARD TO FIND USEFUL SEARCH RESULTS

Thursday, July 8, 2010

Google Search Engine

DATABASE OFWEB SITES

SEARCH QUERY

MATCHING WEBSITESIMPORTANT SITES FIRST!

WITHRANKINGS!

Thursday, July 8, 2010

How to Rank?

Ranking of a page = number of links pointing to that page

VERY SIMPLE RANKING:

PROBLEM: VERY EASY TO MANIPULATE

Thursday, July 8, 2010

Google PageRank

Ranking of a page is x

The page has links to n other pages

IDEA: LINKS FROM HIGHLY RANKED PAGESSHOULD WORTH MORE

IF

THEN

Each link from that page should be worth x/n

Thursday, July 8, 2010

Google PageRank

x1 = x3 + 1/2 x4

x2 = 1/3 x1

x3 = 1/3 x1 + 1/2 x2 + 1/2 x4

x4 = 1/3 x1 + 1/2 x2

THIS GIVES EQUATIONS:

Thursday, July 8, 2010

Google PageRank

MATRIX EQUATION:

x1

x2

x3

x4

0 0 1 1/2

1/3 0 0 0

1/3 1/2 0 1/2

1/3 1/2 0 0

COINCIDENCE MATRIXOF THE NETWORK

x1

x2

x3

x4

( ( () ) )))=

Thursday, July 8, 2010

Google PageRankx1

x2

x3

x4

0 0 1 1/2

1/3 0 0 0

1/3 1/2 0 1/2

1/3 1/2 0 0

x1

x2

x3

x4

( ( () ) )))=

( x1, x2, x3, x4 ) is an eigenvector of the coincidence matrix corresponding to the eigenvalue 1.

Thursday, July 8, 2010