Isotopy in Ambient Manifolds

Part Of: Analysis sequence
Followup To: An Introduction to Topology
Content Summary: 1300 words, 13 min read

Degenerate Geometries

Two lines can either be parallel, or not. There exist unending variations of both situation. But which is more common, on the average?

Consider two lines y_{1} = m_{1}x + b_{1} and y_{2} = m_{2}x + b_{2} When do we call these lines parallel? When their slopes are equal m_{1} = m_{2}. We can gain insight into the situation by mapping parameter space, where m_{1} and m_{2} form the horizontal and vertical axes respectively.

The red line does not represent one line, but an infinite set of parallel lines where m_{1} = m_{2}.

Isotopy Invariance_ Degenerate Geometries Parallel Lines

Suppose we start somewhere on the red line (with some pair of parallel lines)$. Perturbation of the slopes of these lines corresponds to a random walk beginning at that point. The more you walk around on the plane, the more likely you are to stand in green territory (slopes whose lines are not parallel).

Definition 1. A situation holds generically if, by that perturbing its constituent properties, it tends to default to that situation.

This concept applies in many situations. For example:

  • In two dimensions, two lines might be parallel, but generically intersect at a point.
  • In three dimensions, two planes might be parallel, but generically intersect in a line.
  • In linear algebra, a matrix might be singular is its determinant is equal to zero. But the determinant becomes non-zero on perturbation of individual matrix values. Thus, matrices are generically invertible.

This concept has also been called general position.

Manifold Intersection & Overflow

We now turn to the general science of intersection. The following observations hold generically:

  • In two dimensions, a point and another point do not intersect.
  • In two dimensions, a point and a line do not intersect.
  • In two dimensions, a line and a line do intersect, at a point.
  • In three dimensions, a line and another line do not intersect.
  • In three dimensions, a line and a plane do intersect, at a point.
  • In three dimensions, a plane and another plane do intersect, at a line.

Points, lines, planes… these are manifolds! Some of them infinitely large, but manifolds nonetheless! Let’s use the language of topology to look for patterns.

Each of the above examples contains two submanifolds K and L being placed in an ambient manifold M. We denote their intersection as K \cap L. Let us compare the dimensions of these three manifolds to the dimension of their overlap.

We represent dim(M), dim(K), dim(L), dim(K \cap L) as m, k, l, k \cap l respectively. Now our examples can be expressed as 4-tuples (m, k, l, k \cap l):

  • (2, 0, 0, \varnothing)
  • (2, 0, 1, \varnothing)
  • (2, 1, 1, 0)
  • (3, 1, 1, \varnothing)
  • (3, 1, 2, 0)
  • (3, 2, 2, 1)

In four dimensions, would we expect two planes to intersect; and if so, what would we expect the dimension of the intersection? Put differently, what would we predict to be the value of x in (4, 2, 2, x)?

If you guessed x=0, that the two planes intersect at a point, you have noticed the pattern!

Definition 2. Consider two submanifolds embedded in an ambient manifold K, L \subseteq M. The overflow is defined as o = (k+l) - m.

Theorem 3. Let K, L \subseteq M. The following properties are true, generically:

  • If o < 0, the submanifolds do not intersect: K \cap L = \varnothing
  • If o \geq 0, the intersection is non-empty K \cap L \neq \varnothing, and dim( K \cap L )= o

To see why this is the case, consider basis vectors in linear algebra. An m-dimensional space requires an m-dimensional basis vector. Submanifold dimensions are then “placed within” the ambient basis. If we try to minimize the overlap between two submanifolds, the equation for overflow falls out of the picture. 🙂

Isotopy_ Linear Algebra Basis and Overflow

Overflow during Motion

We have considered overflow in static submanifolds. But what if we move one of them?

The following observations hold generically:

  • In two dimensions, moving a point across a point do not intersect.
  • In two dimensions, moving a point across a line intersect, at a point.
  • In two dimensions, moving a line across another line intersect, across the entire line.
  • In three dimensions, moving a line across another line intersect, at a point.
  • In three dimensions, moving a line across a plane intersect, at a line.
  • In three dimensions, moving a plane across another plane intersect, across the entire plane.

Compare these “motion” (m, k, l, k \cap l) tuples against our previous tuples:

  • (2, 0, 0, \varnothing) vs. (2, 0, 0, \varnothing)
  • (2, 0, 1, 0) vs. (2, 0, 1, \varnothing)
  • (2, 1, 1, 1) vs. (2, 1, 1, 0)
  • (3, 1, 1, 0) vs. (3, 1, 1, \varnothing)
  • (3, 1, 2, 1) vs. (3, 1, 2, 0)
  • (3, 2, 2, 2) vs. (3, 2, 2, 1)

The dynamic overflow is one dimension larger than the static overflow. Why? 

The way I like to think about it is, by moving K across time, you are effectively enlisting an extra dimension (time). A moving point starts to look like a string, etc.

Theorem 4.  Let K, L \subseteq M. Suppose we want to move K from one side to the other side of L. This crossing is said to be topologically possible if K and L do not intersect at any point during the transition. The possibility of a crossing depends on the overflow o:

  • If o < -1, then generically, a crossing is possible (at all times, K \cap L = \varnothing)
  • If o \geq -1, then generically, a crossing is not possible (at some time, K \cap L \neq \varnothing and dim( K \cap L )= o

Towards Isotopy

Let’s put this theorem to work.

Example 5. In what R^m is the following movement possible?

Isotopy_ Two Line Crossover

We know from physical experience that this is not possible in our three-dimensional universe R^{3}. But Theorem 4 says that, if the ambient dimension is four, then the overflow is (1+1) - 4 = -2 < -1, so crossing is possible.

Intuitively, this makes sense. In three dimensions, a point can “hop” over a line by moving into the “extra” dimension. Similarly, the line K can cross over L by moving into the fourth dimension.

We can generalize this notion of successful crossing as follows:

Definition 6. Imagine moving submanifold K through an ambient manifold M. Let K_{0} and K_{1} represent the beginning and end positions as it travels throughout time t \in [0,1]. If K_{t} never has self-intersection at any time t, we say K_{0} is isotopic to K_{1} in M, and write K_{0} \sim_{M} K_{1}

Isotopy is especially relevant to knot theory. A classic example is the trefoil knot, a simple kind of knot. The string trefoil knot composed of 1-dimensional string is not isotopic to the unknot (1-torus) in \mathbb{R}^3: this is why it is called non-trivial.

Example 7. Show how the trefoil knot can isotope to the unknot.

  1. From K_{0} to K_{0.5}: we can unwind the trefoil knot in \mathbb{R}^4: simply lift the top-left string up.
  2. From K^{0.5} to K^{1}: you only need \mathbb{R}^3 to finish the job. Simply pull the top loop down, and then untwist.

Isotopy_ Unknotting Trefoil (1)

So knot theory is only interesting in \mathbb{R}^3! In \mathbb{R}^2, knots self-intersect. In \mathbb{R}^4, they are all isotopic to the unknot.

More Isotopy Examples

Let’s get some more practice under our belt.

Example 8. Consider a genus-two torus with its holes intertwined. What ambient manifold do we require to undo the knot?

Isotope_ Solution in R6 (1)

We might imagine the solution isotope would require us to pull apart the “hands” directly. And it is true that we can successfully isotope in M = \mathbb{R}^{6}; after all o = (2+2) - 6 = -2 < -1.

But do we really need six dimensions to get this done? Or can we do better? It turns out that we only really need M = \mathbb{R}^{3}:

Isotope_ Solution in R3

As the number of ambient dimensions increases, finding an isotope becomes increasingly easy. Thus, we often strive to find the smallest possible ambient manifold.

Example 9. Consider a genus-3 torus (\Sigma^{3}). If we isotope along its surface using M = \Sigma^{3}, is K_{1} \sim K_{2}? How about L_{1} \sim L_{2}

Isotopy_ Genus 3 Torus (1)

It is easy to see that K_{1} \sim_{\Sigma^{3}} K{2}. You just pull the circle left, along that surface of the torus.

But it takes some time to see that L_{1} \nsim L{2}. You might suspect you can just pull the blue circle over the middle hole. But that would require leaving the surface \Sigma^{3}. Thus L_{1} \nsim_{\Sigma^{3}} L{2} (but L_{1} \sim_{\mathbb{R}^{3}} L{2}).

Related Materials

This post is based on Dr. Tadashi Tokeida’s excellent lecture series, Topology & Geometry. For more details, check it out!

Advertisements

2 thoughts on “Isotopy in Ambient Manifolds

  1. This and the original introduction to topology article look heavily based off the videos by Tadashi Tokieda to the AIMS I believe if this is a case you should credit him

    Liked by 1 person

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s