Well, I applaud you for going to colloquia. I was astounded in my days at Berkeley by how few of the grad students went even semi-regularly. Same for UGA students (and faculty, for that matter).
We have a gerrymandering workshop tomorrow at least partially run by an algebraic topology professor (who incidentally was a student of JPM). Maybe he'll retire and become a politician but I don't think he lied on his thesis so he's got work to do.
So for S^2 this thing is independent of the embedding by a simple homotopy argument.
Why is this thing independent of the embedding for any other surface?
It seems like for S^2 you could maybe find an embedding where this thing is actually O(-1) with the usual subbundle definition of O(-1) inside S^2 \times C^2.
but I don't know how to recognize this thing otherwise.
So yeah in that case if you could write the sphere as the square of a space, its homotopy groups would be the squares of those of the underlying space, but for Z you can't do that so rip
If $M$ is a smooth manifold of dimension $n$ that embeds in $\Bbb R^{n+k}$, taking the "normal bundle of $M$ in $\Bbb R^{n+k}$" gives a vector bundle $n$ of rank $k$ such that $TM \oplus n$ is the trivial bundle of rank $n+k$
It's what certain elements of the cohomology group detects
It gives obstructions to which dimensions of Euclidean spaces you cannot embed your manifold in (but does not tell you much about which dimensions you can embed in, if it passes obstruction)
If $M$ is a smooth manifold of dimension $n$ that embeds in $\Bbb R^{n+k}$, taking the "normal bundle of $M$ in $\Bbb R^{n+k}$" gives a vector bundle $n$ of rank $k$ such that $TM \oplus n$ is the trivial bundle of rank $n+k$
Please consider the following problem and my attempt to solve it.
Let $X$ and $Y$ be independent random variables having geometric
densities with parameters $p_1$ and $p_2$ respectively. Find $P(X >= Y)$.
Answer:
\begin{eqnarray*}
P( X >= Y ) &=&
P( X = 0)P(Y <= 0) + P(x = 1)P(Y <= 1) \\
&+& P...
A measurable space $(X,\mathcal X)$ consists of a set $X$ equipped with a $\sigma$-algebra of subsets $\mathcal X$. I would like to write computer programs involving measurable spaces, but to the best of my knowledge, no language (including Haskell) has the ability to deal with completely unstruc...
Hey guys if we throw 4 dice what is the probability of getting one 6 ?
Anonymous
Which branch of math deals with solving recursion equations? And are there any popular books on that subject? I might need one because the CS books are doing crazy hand waving whenever it comes to recursive analysis of algorithms
In mathematics, a recurrence relation is an equation that recursively defines a sequence or multidimensional array of values, once one or more initial terms are given: each further term of the sequence or array is defined as a function of the preceding terms.
The term difference equation sometimes (and for the purposes of this article) refers to a specific type of recurrence relation. However, "difference equation" is frequently used to refer to any recurrence relation.
== Examples ==
=== Logistic map ===
An example of a recurrence relation is the logistic map:
...
so probably finite differences and numerical analysis in general
Anonymous
@Secret Ah, it seems Dover has a book on it: Batchelder, Paul M. (1967). An introduction to linear difference equations. Dover Publications
Let $a_k = \left( \frac{ 2i}{5} \right)^{k+1}$ and thus a monotonously decreasing sequence. And using the Leibniz criterion the sequence $\sum_{k=1}^{\infty}(-1)^ka_k$ converges. Thus $ \sum_{k=1}^{\infty}{\left( \frac{ 2i}{5} \right)^{k+1}}$
@Secret id actually have 2000 rep but i knew people wouldnt want me in the review queue so I intentionally made overrated bounties to drop my rep down to 0.
I.E. I lowered my rep intentionally to remove my priveledges
Show that $2^x$ is strictly increasing, hence you can justify that $2^x$ is order preserving thus you can apply $2^x$ both sides without need to flip the inequality sign?
I am not sure what terminology your book use (you might want to check), but if they are talking about a vertex with 3 edges connected to it, the terminology (I think) should be "3-vertex connected"
An example of that will be a graph:
Here, the central vertex is 3-vertex connected, while all 3 possible paths involving 2 edges has 3 vertices each
I see! but I don't think they say "3-vertex connected", I will cope paste the statement.
they say the following:
Observe that a graph is a cluster graph if and only if it does not contain a path on three vertices (P3) as an induced subgraph. As long as there exists a P3 as an induced subgraph, branch by choosing one of its vertices to delete
this is hint to solve a problem called "Cluster Vertex Delation"
This problem says that If we have a G that is not Cluster (Cluster means that we have several connected component of complete graph), then we need to design an algorithm to look for some forbidden induced subgraph in order to get a cluster graph
he says that: look for path on three vertices. Now, I'm confused about what exactly path on three vertices means? in Diestel's textbook if we have Path with 7 vertices, then the length of path is 6 edges. Does he mean the same definition of Diestel's or different!
Thus this agree with the definition of a cluster graph, since as soon a path passing through 3 vertices is found in it, there are subgraphs that are not complete
Ok, I think I'm missing something here. All the variables range over rationals: I have $j<rs$ and I want to show that $j=ab$ with $a<r$ and $b<s$. I did so by calling $q=rs-j$ and picking $k$ such that $s-k>0$ and $rk-q<0$ and considering $a=r-\varepsilon$ and $b=s-k$, with $\varepsilon=\frac{rk-q}{k-s}$. I'm sure there's a simpler approach, any idea?