A friendly introduction to knots in three and four dimensions - - PowerPoint PPT Presentation

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A friendly introduction to knots in three and four dimensions - - PowerPoint PPT Presentation

A friendly introduction to knots in three and four dimensions Arunima Ray Rice University SUNY Geneseo Mathematics Department Colloquium April 25, 2013 What is a knot? Take a piece of string, tie a knot in it, glue the two ends together.


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A friendly introduction to knots in three and four dimensions

Arunima Ray Rice University

SUNY Geneseo Mathematics Department Colloquium

April 25, 2013

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What is a knot?

Take a piece of string, tie a knot in it, glue the two ends together.

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What is a knot?

Take a piece of string, tie a knot in it, glue the two ends together. A knot is a closed curve in space which does not intersect itself anywhere.

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Equivalence of knots

Two knots are equivalent if we can get from one to the other by a continuous deformation, i.e. without having to cut the piece of string.

Figure: All of these pictures are of the same knot, the unknot or the trivial knot.

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Knot theory is a subset of topology

Topology is the study of properties of spaces that are unchanged by continuous deformations.

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Knot theory is a subset of topology

Topology is the study of properties of spaces that are unchanged by continuous deformations. To a topologist, a ball and a cube are the same.

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Knot theory is a subset of topology

Topology is the study of properties of spaces that are unchanged by continuous deformations. To a topologist, a ball and a cube are the same. But a ball and a torus (doughnut) are different: we cannot continuously change a ball to a torus without tearing it in some way.

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The historical origins of knot theory

1880’s: It was believed that a substance called æther pervaded all

  • space. Lord Kelvin (1824–1907) hypothesized that atoms were

knots in the fabric of the æther.

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The historical origins of knot theory

1880’s: It was believed that a substance called æther pervaded all

  • space. Lord Kelvin (1824–1907) hypothesized that atoms were

knots in the fabric of the æther. This led Peter Tait (1831–1901) to start tabulating knots. Tait thought he was making a periodic table!

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The historical origins of knot theory

1880’s: It was believed that a substance called æther pervaded all

  • space. Lord Kelvin (1824–1907) hypothesized that atoms were

knots in the fabric of the æther. This led Peter Tait (1831–1901) to start tabulating knots. Tait thought he was making a periodic table! This view was held for about 20 years (until the Michelson–Morley experiment).

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How can we tell if two knots are secretly the same?

Figure: This is the unknot!

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How can we tell if two knots are secretly the same?

Figure: This is the unknot!

How can we tell if knots are different? Is every knot secretly the unknot?

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Knot invariants

Strategy:

  • Given any knot K, we associate some algebraic object (for

example, a number) to K

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Knot invariants

Strategy:

  • Given any knot K, we associate some algebraic object (for

example, a number) to K

  • Do this in such a way that it does not change when we

perform our allowable moves on K, that is, the algebraic

  • bject (number) does not depend on the picture of K that we

choose

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Knot invariants

Strategy:

  • Given any knot K, we associate some algebraic object (for

example, a number) to K

  • Do this in such a way that it does not change when we

perform our allowable moves on K, that is, the algebraic

  • bject (number) does not depend on the picture of K that we

choose

  • Such an object is called a knot invariant
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Knot invariants

Strategy:

  • Given any knot K, we associate some algebraic object (for

example, a number) to K

  • Do this in such a way that it does not change when we

perform our allowable moves on K, that is, the algebraic

  • bject (number) does not depend on the picture of K that we

choose

  • Such an object is called a knot invariant
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Knot invariants

Strategy:

  • Given any knot K, we associate some algebraic object (for

example, a number) to K

  • Do this in such a way that it does not change when we

perform our allowable moves on K, that is, the algebraic

  • bject (number) does not depend on the picture of K that we

choose

  • Such an object is called a knot invariant

Now if you give me two pictures of knots, I can compute a knot invariant for the two pictures. If I get two different results, the two knots are different!

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Knot invariants

Strategy:

  • Given any knot K, we associate some algebraic object (for

example, a number) to K

  • Do this in such a way that it does not change when we

perform our allowable moves on K, that is, the algebraic

  • bject (number) does not depend on the picture of K that we

choose

  • Such an object is called a knot invariant

Now if you give me two pictures of knots, I can compute a knot invariant for the two pictures. If I get two different results, the two knots are different! (Does not help us figure out if two pictures are for the same knot)

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Example: Signature of a knot

Any knot bounds a surface in 3 dimensional space.

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Example: Signature of a knot

Any knot bounds a surface in 3 dimensional space.

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Example: Signature of a knot

  • Start with a knot
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Example: Signature of a knot

  • Start with a knot
  • Find a surface for it
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Example: Signature of a knot

  • Start with a knot
  • Find a surface for it
  • Find curves representing the ‘spine’ of the surface.
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Example: Signature of a knot

Using the linking numbers of these curves, we create a symmetric matrix:

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Example: Signature of a knot

Using the linking numbers of these curves, we create a symmetric matrix: V = 2 1

  • ;

M = 2 1

  • +

1 2

  • =

3 3

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Example: Signature of a knot

Definition The signature of a knot K, σ(K), is the number of positive eigenvalues of M minus the number of negative eigenvalues of M.

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Example: Signature of a knot

Definition The signature of a knot K, σ(K), is the number of positive eigenvalues of M minus the number of negative eigenvalues of M. Signature is a knot invariant.

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Example: Signature of a knot

Definition The signature of a knot K, σ(K), is the number of positive eigenvalues of M minus the number of negative eigenvalues of M. Signature is a knot invariant.

Figure: The unknot U and the trefoil T

σ(U) = 0 and σ(T) = 2 Therefore, the trefoil is not the trivial knot!

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There exist infinitely many knots

Figure: The connected sum of two trefoil knots, T#T

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There exist infinitely many knots

Figure: The connected sum of two trefoil knots, T#T

σ(K#J) = σ(K) + σ(J)

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There exist infinitely many knots

Figure: The connected sum of two trefoil knots, T#T

σ(K#J) = σ(K) + σ(J) Therefore, σ(T# · · · #T

  • n copies

) = 2n

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There exist infinitely many knots

Figure: The connected sum of two trefoil knots, T#T

σ(K#J) = σ(K) + σ(J) Therefore, σ(T# · · · #T

  • n copies

) = 2n As a result, there exist infinitely many knots!

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Sample questions in knot theory in 3 dimensions

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Sample questions in knot theory in 3 dimensions

1 Define knot invariants. We want invariants that are easy to

compute, and which distinguish between large families of knots

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Sample questions in knot theory in 3 dimensions

1 Define knot invariants. We want invariants that are easy to

compute, and which distinguish between large families of knots

2 Classify all knots

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Sample questions in knot theory in 3 dimensions

1 Define knot invariants. We want invariants that are easy to

compute, and which distinguish between large families of knots

2 Classify all knots 3 Is there an effective algorithm to decide if two knots are the

same?

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Sample questions in knot theory in 3 dimensions

1 Define knot invariants. We want invariants that are easy to

compute, and which distinguish between large families of knots

2 Classify all knots 3 Is there an effective algorithm to decide if two knots are the

same?

4 What is the structure of the set of all knots?

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A 4–dimensional notion of a knot being ‘trivial’

A knot K is equivalent to the unknot if and only if it is the boundary of a disk.

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A 4–dimensional notion of a knot being ‘trivial’

A knot K is equivalent to the unknot if and only if it is the boundary of a disk.

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A 4–dimensional notion of a knot being ‘trivial’

A knot K is equivalent to the unknot if and only if it is the boundary of a disk. We want to extend this notion to 4 dimensions.

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A 4–dimensional notion of a knot being ‘trivial’

y, z x w

Figure: Schematic picture of the unknot

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A 4–dimensional notion of a knot being ‘trivial’

y, z x w y, z x w

Figure: Schematic pictures of the unknot and a slice knot

Definition A knot K is called slice if it bounds a disk in four dimensions as above.

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Knot concordance

R3 × [0, 1]

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Knot concordance

R3 × [0, 1] Definition Two knots K and J are said to be concordant if there is a cylinder between them in R3 × [0, 1].

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The knot concordance group

The set of knot concordance classes under the connected sum

  • peration forms a group!
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The knot concordance group

The set of knot concordance classes under the connected sum

  • peration forms a group!

A group is a very friendly algebraic object with a well-studied

  • structure. For example, the set of integers is a group.
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The knot concordance group

The set of knot concordance classes under the connected sum

  • peration forms a group!

A group is a very friendly algebraic object with a well-studied

  • structure. For example, the set of integers is a group.

This means that for every knot K there is some −K, such that K# − K is a slice knot.

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Examples of non-slice knots

Theorem (Murasugi, 1960) If K and J are concordant, σ(K) = σ(J). In particular, if K is slice, σ(K) = 0.

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Examples of non-slice knots

Theorem (Murasugi, 1960) If K and J are concordant, σ(K) = σ(J). In particular, if K is slice, σ(K) = 0. Recall σ(T# · · · #T

  • n copies

) = 2n, where T is the trefoil knot.

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Examples of non-slice knots

Theorem (Murasugi, 1960) If K and J are concordant, σ(K) = σ(J). In particular, if K is slice, σ(K) = 0. Recall σ(T# · · · #T

  • n copies

) = 2n, where T is the trefoil knot. Therefore, there are infinitely many non-slice knots!

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Summary

1 Knots are closed curves in three dimensional space which do

not intersect themselves

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Summary

1 Knots are closed curves in three dimensional space which do

not intersect themselves

2 We can use knot invariants (such as signature) to determine

when knots are distinct

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Summary

1 Knots are closed curves in three dimensional space which do

not intersect themselves

2 We can use knot invariants (such as signature) to determine

when knots are distinct

3 There exist infinitely many knots

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Summary

1 Knots are closed curves in three dimensional space which do

not intersect themselves

2 We can use knot invariants (such as signature) to determine

when knots are distinct

3 There exist infinitely many knots 4 There is a 4–dimensional equivalence relation on the set of

knots, called concordance

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Summary

1 Knots are closed curves in three dimensional space which do

not intersect themselves

2 We can use knot invariants (such as signature) to determine

when knots are distinct

3 There exist infinitely many knots 4 There is a 4–dimensional equivalence relation on the set of

knots, called concordance

5 The set of concordance classes of knots forms a friendly

algebraic object called a group