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Real and Complex projective n-spaces

Real projective n-space

Real projective n space, \mathbb{R} P^n is defined to be the space of all lines through the origin in \mathbb{R}^{n+1}. Each such kind is determined by a non-zero vector in \mathbb{R}^{n+1}, unique up to scalar multiplication, and \mathbb{R} P^n is topologized as the quotient space of \mathbb{R}^{n+1}-\{0\} under the equivalence relation v \sim \lambda v for scalars \lambda \neq 0. We can restrict to vectors of length 1, so \mathbb{R}P^n is also the quotient spaces \mathbf{S}^n / (v \sim -v), the sphere with antipodal points identified. This is equivalent to saying that \mathbb{R}P^n is the quotient space of a hemisphere \mathbf{D^n} with antipodal points of \partial D^n identified. Since \partial D^n with antipodal points identified is just \mathbb{R}P^{n-1}, we see that \mathbb{R}P^n is obtained from \mathbb{R}P^{n-1} by attaching an n-cell, with the quotient projection S^{n-1} \to \mathbb{R}P^{n-1} as the attaching map. It follows by induction on n that \mathbb{R}P^n has a cell complex structure e^0 \cup e^1 \cup ... \cup e^n with one cell e^i in each dimension i \leq n. Since \mathbb{R}P^n is obtained from \mathbb{R}P^{n-1} by attaching an n-cell, the infinite union \mathbb{R}P^{\infty}={\bigcup}_n \mathbb{R}P^n becomes a Cell Complex with one cell in each dimension. We can view \mathbb{R}P^{\infty} as the space of lines through the origin in \mathbb{R}^{\infty}={\bigcup}_n \mathbb{R}^n.

Complex Projective n-space

Complex projective n-space \mathbb{C}P^n is space of complex lines through the origin in \mathbb{C}P^{n+1}, that is, 1-dimensional vector subspaces of \mathbb{C}^{n+1}. As in the case of Real projective n-space, each line is determined by a non-zero vector in\mathbb{C}^{n+1}, unique up to scalar multiplication, and \mathbb{C}P^n is topologized as the quotient space of \mathbb{C}^{n+1}-0 under the equivalence relation v \sim \lambda v for \lambda = 0.

Equivalently, this is the quotient of the unit Sphere S^{2n+1} \subset \mathbb{C}^{n+1} with v \sim \lambda v for | \lambda |=1.

It is also possible to obtain \mathbb{C}P^n as a quotient space of disk D^{2n} under the identifications v \sim \lambda v for \lambda v \in \partial D^{2n}, in the following way:

The vectors in S^{2n+1} \subset \mathbb{C}^{n+1} with last coordinate real and nonnegative are precisely the vectors of the form (\omega, \sqrt{1-{|\omega|}^2} ) \in \mathbb{C}^n \times \mathbb{C} with |\omega| \leq 1. Such vectors form the of the function \omega \to \sqrt{1-{|\omega|}^2}. This is a disk {D_+}^{2n} bounded by the sphere S^{2n-1} \subset S^{2n+1} consisting of vectors (\omega, 0) \in \mathbb{C}^n \times \mathbb{C} with |\omega|=1. Each vector in S^{2n+1} is equivalent under the identifications v \sim \lambda v to a vector in {D_+}^{2n}, and the latter vector is unique if its last coordinate is non-zero. If the last coordinate is zero, we have just the identifications v \sim \lambda v for v \in S^{2n-1}.

From the description of \mathbb{C}P^n as the quotient of {D_+}^{2n} under the identifications v \sim \lambda v for v \in S^{2n-1} , it follows that \mathbb{C}P^n is obtained from \mathbb{C}P^{n-1} by attaching a cell e^{2n} via the quotient map S^{2n-1} \to \mathbb{C}P^{n-1}. So by induction on n, we obtain a cell structure

\mathbb{C}P^n=e^0 \cup e^2 \cup ...\cup e^{2n}

with cells only in even dimensions. Similarly, \mathbb{C}P^{\infty} has a cell structure with one cell in each even dimension.

Note: The Sphere S^n has the structure of a cell complex with just two cells, e^0 and e^n, the n-cell being attached by the constant map S^{n-1} \to e^0. This is equivalent to regarding S^n as the quotient space \dfrac{D^n}{\partial D^n}.

How to Draw a Cell Complex (or CW Complex)

Let we try to construct a space by following procedure:

  1. Start with a discrete set {X^0}, whose points are regarded as \mathbf{0}-cells.
  2. Inductively, form the \textbf{n}-skeleton X^n from X^{n-1} by attaching n-cells e^n_{\alpha} via maps \Phi_{\alpha} : S^{n-1} \rightarrow X^{n-1}. This means that X^n is the quotient space of the disjoint union X^{n-1} \, \mathbf{\sqcup_{\alpha}} D^n_{\alpha} of X^{n-1} with a collection of n-disks D^n_\alpha under the identifications x \sim \Phi_{\alpha} (x)for x \in \partial D^n_\alpha. Thus as a set

    X^n=X^{n-1} \mathbf{\sqcup_{\alpha}} e^n_\alpha

where each e^n_\alpha is an open n disk.

  • One can either stop this inductive process at a finite stage, setting X=X^n for some n < \infty, one can continue indefinitely, setting X=\bigcup_n X^n.

A space X constructed in this way is called a CELL COMPLEX or CW COMPLEX.

Reference:

ALGEBRAIC TOPOLOGY

Allen Hatcher

http://www.math.cornell.edu/~hatcher/#ATI

D’ ALEMBERT’s Test of Convergence of Series

Statement

A series \sum {u_n} of positive terms is convergent if from and after some fixed term \dfrac {u_{n+1}} {u_n} < r < {1} , where r is a fixed number. The series is divergent if \dfrac{u_{n+1}} {u_n} > 1 from and after some fixed term.

D’ Alembert’s Test is also known as ratio test of convergency of a series.

Definitions for Generally Interested Readers

(Definition 1) An infinite series \sum {u_n} i.e. \mathbf {u_1+u_2+u_3+....+u_n} is said to be convergent if S_n, the sum of its first n terms, tends to a finite limit S as n tends to infinity.
We call S the sum of the series, and write S=\displaystyle {\lim_{n \to \infty} } S_n.
Thus an infinite series \sum {u_n} converges to a sum S, if for any given positive number \epsilon , however small, there exists a positive integer n_0 such that
|S_n-S| < \epsilon for all n \ge n_0.
(Definition 2)
If S_n \to \pm \infty as n \to \infty, the series is said to be divergent.
Thus, \sum {u_n} is said to be divergent if for every given positive number \lambda, however large, there exists a positive integer n_0 such that |S_n|>\lambda for all n \ge n_0.
(Definition 3)
If S_n does not tends to a finite limit, or to plus or minus infinity, the series is called Oscillatory

Discussions

Let a series be \mathbf {u_1+u_2+u_3+.......}. We assume that the above inequalities are true.

  • From the first part of the statement:
    \dfrac {u_2}{u_1} < r , \dfrac {u_3}{u_2} < r ……… where r <1.
    Therefore \mathbf {{u_1+u_2+u_3+....}= u_1 {(1+\frac{u_2}{u_1}+\frac{u_3}{u_1}+....)}}
    =\mathbf {u_1{(1+\frac{u_2}{u_1}+\frac{u_3}{u_2} \times \frac{u_2}{u_1}+....)}}
    < \mathbf {u_1(1+r+r^2+.....)}
    Therefore, \sum{u_n} < u_1 (1+r+r^2+.....)
    or, \sum{u_n} < \displaystyle{\lim_{n \to \infty}} \dfrac {u_1 (1-r^n)} {1-r}
    Since r<1, therefore as n \to \infty , \ r^n \to 0
    therefore \sum{u_n} < \dfrac{u_1} {1-r} =k say, where k is a fixed number.
    Therefore \sum{u_n} is convergent.
  • Since, \dfrac{u_{n+1}}{u_n} > 1 then, \dfrac{u_2}{u_1} > 1 , \dfrac{u_3}{u_2} > 1 …….
    Therefore u_2 > u_1, \ u_3 >u_2>u_1, \ u_4 >u_3 > u_2 >u_1 and so on.
    Therefore \sum {u_n}=u_1+u_2+u_3+....+u_n > nu_1. By taking n sufficiently large, we see that nu_1 can be made greater than any fixed quantity.
    Hence the series is divergent.

Comments

  • When \dfrac {u_{n+1}} {u_n}=1, the test fails.
  • Another form of the test–

    The series \sum {u_n} of positive terms is convergent if \displaystyle {\lim_{n \to \infty}} \dfrac {u_n}{u_{n+1}} >1 and divergent if \displaystyle{\lim_{n \to \infty}} \dfrac {u_n}{u_{n+1}} <1.
    One should use this form of the test in the practical applications.

A Problem:
Verify whether the infinite series \dfrac{x}{1.2} + \dfrac {x^2} {2.3} + \dfrac {x^3} {3.4} +.... is convergent or divergent.

Solution

We have u_{n+1}= \dfrac {x^{n+1}}{(n+1)(n+2)} and u_n= \dfrac {x^n} {n(n+1)}
Therefore \displaystyle {\lim_{n \to \infty}} \dfrac{u_n} {u_{n+1}} = \displaystyle{\lim_{n \to \infty}} (1+\frac{2}{n}) \frac{1}{x} = \frac{1}{x}
Hence, when 1/x >1 , i.e., x <1, the series is convergent and when x >1 the series is divergent.
When x=1, u_n=\dfrac{1} {n(n+1)}=\dfrac {1}{n^2} {(1+1/n)}^{-1}
or, u_n=\dfrac{1}{n^2}(1-\frac{1}{n}+ \frac {1}{n^2}-.....)
Take \dfrac{1}{n^2}=v_n Now \displaystyle {\lim_{n \to \infty}} \dfrac {u_n}{v_n}=1, a non-zero finite quantity.
But \sum {v_n}=\sum {\frac{1}{n^2}} is convergent.
Hence, \sum {u_n} is also Convergent.

A General Problem on functions

Problem

Let \mathbb{Z} denote the set of all integers (as usually it do :) ).

Consider a function f : \mathbb{Z} \rightarrow \mathbb{Z} with the following properties:
f (92+x) = f (92-x)
f (19 \times 92+x) = f (19 \times 92 -x)
f (1992+x)=f (1992-x) for all x \in \mathbb{Z}. Is it possible that all positive divisors of 92 occur as values of f?
A happy note: 19 \times 92 is actually 1748 and it is written to retain symmetry in problem. :D

Click Here for the Solution

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