From rnjacobs@MIT.EDU Tue Oct 25 14:33:33 2005
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Subject: [Jelani] Reading response
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The material made sense. 

But I had a stupid problem on the tutor problems where i misread the
integral a^b x^r as "the integral of a to the b times x to the r"
instead of that it should have been "the integral from a to b of x to
the r".

 - robert jacobs

From meyer@imap.theory.csail.mit.edu  Tue Oct 25 20:11:15 2005
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r n jacobs wrote:

>The material made sense. 
>
>  
>
I believe you, but your email doesn't have to identify parts you found 
hard: you could indicate what you found most (or least) interesting, 
surprising, poorly (or specially well) explained, relevant to your 
professional interests (or not),....

I'll look forward to more specific & responsive comments next week.

regards, A.

>But I had a stupid problem on the tutor problems where i misread the
>integral a^b x^r as "the integral of a to the b times x to the r"
>instead of that it should have been "the integral from a to b of x to
>the r".
>
> - robert jacobs
>  
>


 have been "the integral from a to b of x to
>the r".
>
> - robert jacobs
>  
>

From vixen@MIT.EDU Tue Oct 25 20:41:31 2005
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I don't understand the difference between O(n) and omega(n).

From juang@MIT.EDU Tue Oct 25 20:44:34 2005
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I was surprised by the demonstration, beginning on page 7, that a stack 
of books can extend arbitrarily far past the edge of the table. It's 
very much counterintuitive; the proof is very interesting.

Jason.

From hectorb@MIT.EDU Tue Oct 25 21:49:10 2005
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"As a second best, however, we can find closed forms
for very good approximations to Hn using the Integral Method. The idea 
of the Integral Method
is to bound terms of the sum above and below by simple functions as 
suggested in Figure 5." p. 10

Would like to see more examples of integral method, how to find lower 
and upper bounds.



From cwong08@MIT.EDU Tue Oct 25 22:26:12 2005
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I thought this week's notes were the most confusing notes so far. I
would like better examples with the integral method (pg. 10) and
Stirling's approximations (pg 13 and 14)

-Chris Won

From ajshafer@MIT.EDU Tue Oct 25 23:34:53 2005
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I'm not sure how harmonic numbers are used beyond the given problem.  Are 
there more examples?  Also, I would like more time spent work on "order of" 
problems.

Thanks,
Andrew
----------------------------
Illegitmitatum Non Carborundum Est
Andrew Shafer, MIT Blog
http://shaferandrew.blogspot.com
Si hoc legere scis numium eruditionis habes.
----------------------------


From ksindi@MIT.EDU Wed Oct 26 00:21:00 2005
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I found this weeks notes to be great!
I liked the book stacking and appreciated the pitfalls of the Big Oh. Maybe the
Professor can mention how much this notation facilitates concepts and
techniques in analytic number theory and that if we can pay homage to Edmund
Landau for introducing it in his glorious book, 'Primzahlen'.

From bens@MIT.EDU Wed Oct 26 01:14:53 2005
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From: Benjamin M Schwartz <bens@MIT.EDU>
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Subject: [Jelani] O-notation
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How can we write f = O(g) or f(n) = O(g(n))?  What's the equivalence?
I think we should write "f is O(g)" or "f \in O(g)".

-Ben

From dowgun@MIT.EDU Wed Oct 26 14:49:46 2005
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Date: Wed, 26 Oct 2005 14:49:37 -0400
From: Neil M Dowgun <dowgun@MIT.EDU>
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Subject: [Hanson] ln8 questions
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Although I have a little trouble following some of the arithmatic used these
lecture notes, Im sure you guys will be going over the important concepts,
which I think I get. However there are little things that are bothering me,
such 1) what is the difference between lim sup and lim? Can we just use
lHopital's method to find big Oh or are these two things fundamentally
different? 2) Figure 3 does not seem to show the right way to stack the books -
each book should overhang the one beneath it more than the one beneath it
overhung the one one beneath that one. Like in Figure 4, basically. 3) what
happens if g is negative in f = O(g) ? for instance, if you're comparing two
functions to see if f = (theta(g)), then you would not really be allowed to
choose g, as you would if you wanted to find an upper asymtotic limit for f.
Neil

From icharny@MIT.EDU Wed Oct 26 18:47:23 2005
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From: Isaac Charny <icharny@MIT.EDU>
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I don't understand what little oh/big oh are and what they are used for (section
7 starting on page 15). Please cover these thoroughly in lecture.

~Isaac Charny

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From: "Aston Motes" <aston@MIT.EDU>
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The book stacking problem is ridiculous. Definitely not a conclusion I
expected. Even after reading over the explanation a few times, I still was
getting lost right around the first full paragraph of page 8.

 

            - Aston


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<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>The book stacking problem is ridiculous. Definitely =
not a
conclusion I expected. Even after reading over the explanation a few =
times, I
still was getting lost right around the first full paragraph of page =
8.<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
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From dnreshef@MIT.EDU Thu Oct 27 00:50:55 2005
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Date: Thu, 27 Oct 2005 00:50:51 -0400
From: David N Reshef <dnreshef@MIT.EDU>
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Subject: [HANSON] T8 reading comments
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In this week's reading, I found the sections on Infintie Geometric Sums on page
4 and on Finding Summation Formulas on page 11 especially confusing.  We should
definitely cover these in lecture please.
-Dave

From lye@MIT.EDU Thu Oct 27 05:50:44 2005
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Subject: [Sayan] Week 8 Comments
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2.6 Related Sum: "But suppose that we differentiate that formula..."

Is there an analogous trick of integrating? Say, you have a formula for
summation of f(x) over some range. In what instances can you integrate
your closed form to get the formula for summation of F(x) [where
dF(x)/dx = f(x)]? 

Because F(x) = G(x) implies dF/dx = dG/dx, but
        dF/dx = dG/dx does not necessarily imply F(x) = G(x).


Lunduo/Linda Ye

From meyer@imap.theory.csail.mit.edu  Thu Oct 27 08:34:46 2005
Message-ID: <4360C968.3040706@csail.mit.edu>
Date: Thu, 27 Oct 2005 08:34:48 -0400
From: "Prof. Albert R. Meyer" <meyer@csail.mit.edu>
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To: Aston Motes <aston@MIT.EDU>
Subject: Re: [Hanson] Week 8 Comments
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"ridiculous" means "silly": is that what you mean to say?<br>
Regards, A.<br>
<br>
Aston Motes wrote:
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  <p class="MsoNormal"><font face="Arial" size="2"><span
 style="font-size: 10pt; font-family: Arial;">The book stacking problem
is ridiculous. Definitely not a
conclusion I expected. Even after reading over the explanation a few
times, I
still was getting lost right around the first full paragraph of page 8.<o:p></o:p></span></font></p>
  <p class="MsoNormal"><font face="Arial" size="2"><span
 style="font-size: 10pt; font-family: Arial;"><o:p>&nbsp;</o:p></span></font></p>
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 style="font-size: 10pt; font-family: Arial;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; - Aston<o:p></o:p></span></font></p>
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From meyer@imap.theory.csail.mit.edu  Thu Oct 27 11:03:48 2005
Message-ID: <4360EC60.8030804@csail.mit.edu>
Date: Thu, 27 Oct 2005 11:04:00 -0400
From: "Prof. Albert R. Meyer" <meyer@csail.mit.edu>
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To: Aston Motes <aston@MIT.EDU>
Subject: Re: [Hanson] Week 8 Comments
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comes from "ridicule" meaning "to mock."  i can see using it your way 
with proper voice intonation to indicate astonishment rather than 
skepticism, but intonation doesn't come across well in email :-)

regards, A.

Aston Motes wrote:
> Hehe. When I use ridiculous, I almost always mean extremely surprising 
> and somewhat hard to believe. A remark of astonishment.
> 
>  
> 
> I guess most people don’t use it that way…
> 
>  
> 
>  
> 
>             - Aston
> 
>  
> 
> ------------------------------------------------------------------------
> 
> *From:* Prof. Albert R. Meyer [mailto:meyer@csail.mit.edu]
> *Sent:* Thursday, October 27, 2005 8:35 AM
> *To:* Aston Motes
> *Subject:* Re: [Hanson] Week 8 Comments
> 
>  
> 
> "ridiculous" means "silly": is that what you mean to say?
> Regards, A.
> 
> Aston Motes wrote:
> 
> The book stacking problem is ridiculous. Definitely not a conclusion I 
> expected. Even after reading over the explanation a few times, I still 
> was getting lost right around the first full paragraph of page 8.
> 
>  
> 
>             - Aston
> 


From meyer@imap.theory.csail.mit.edu  Thu Oct 27 10:30:13 2005
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From: "Aston Motes" <aston@MIT.EDU>
To: "'Prof. Albert R. Meyer'" <meyer@csail.mit.edu>
Subject: RE: [Hanson] Week 8 Comments
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Hehe. When I use ridiculous, I almost always mean extremely surprising and
somewhat hard to believe. A remark of astonishment.

 

I guess most people don't use it that way.

 

 

            - Aston

 

  _____  

From: Prof. Albert R. Meyer [mailto:meyer@csail.mit.edu] 
Sent: Thursday, October 27, 2005 8:35 AM
To: Aston Motes
Subject: Re: [Hanson] Week 8 Comments

 

"ridiculous" means "silly": is that what you mean to say?
Regards, A.

Aston Motes wrote: 

The book stacking problem is ridiculous. Definitely not a conclusion I
expected. Even after reading over the explanation a few times, I still was
getting lost right around the first full paragraph of page 8.

 

            - Aston


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<p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span =
style=3D'font-size:
10.0pt;font-family:Arial;color:navy'>Hehe. When I use ridiculous, I =
almost
always mean extremely surprising and somewhat hard to believe. A remark =
of
astonishment.<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span =
style=3D'font-size:
10.0pt;font-family:Arial;color:navy'><o:p>&nbsp;</o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span =
style=3D'font-size:
10.0pt;font-family:Arial;color:navy'>I guess most people don&#8217;t use =
it
that way&#8230;<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span =
style=3D'font-size:
10.0pt;font-family:Arial;color:navy'><o:p>&nbsp;</o:p></span></font></p>

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<p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span =
style=3D'font-size:
10.0pt;font-family:Arial;color:navy'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;=
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; - Aston<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DArial><span =
style=3D'font-size:
10.0pt;font-family:Arial;color:navy'><o:p>&nbsp;</o:p></span></font></p>

<div>

<div class=3DMsoNormal align=3Dcenter style=3D'text-align:center'><font =
size=3D3
color=3Dblack face=3D"Times New Roman"><span =
style=3D'font-size:12.0pt;color:windowtext'>

<hr size=3D2 width=3D"100%" align=3Dcenter tabindex=3D-1>

</span></font></div>

<p class=3DMsoNormal><b><font size=3D2 color=3Dblack face=3DTahoma><span
style=3D'font-size:10.0pt;font-family:Tahoma;color:windowtext;font-weight=
:bold'>From:</span></font></b><font
size=3D2 color=3Dblack face=3DTahoma><span =
style=3D'font-size:10.0pt;font-family:Tahoma;
color:windowtext'> Prof. Albert R. Meyer [mailto:meyer@csail.mit.edu] =
<br>
<b><span style=3D'font-weight:bold'>Sent:</span></b> Thursday, October =
27, 2005
8:35 AM<br>
<b><span style=3D'font-weight:bold'>To:</span></b> Aston Motes<br>
<b><span style=3D'font-weight:bold'>Subject:</span></b> Re: [Hanson] =
Week 8
Comments</span></font><font color=3Dblack><span =
style=3D'color:windowtext'><o:p></o:p></span></font></p>

</div>

<p class=3DMsoNormal><font size=3D3 color=3Dblack face=3D"Times New =
Roman"><span
style=3D'font-size:12.0pt'><o:p>&nbsp;</o:p></span></font></p>

<p class=3DMsoNormal><font size=3D3 color=3Dblack face=3D"Times New =
Roman"><span
style=3D'font-size:12.0pt'>&quot;ridiculous&quot; means =
&quot;silly&quot;: is
that what you mean to say?<br>
Regards, A.<br>
<br>
Aston Motes wrote: <o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 color=3Dblack face=3DArial><span =
style=3D'font-size:
10.0pt;font-family:Arial'>The book stacking problem is ridiculous. =
Definitely
not a conclusion I expected. Even after reading over the explanation a =
few
times, I still was getting lost right around the first full paragraph of =
page 8.<u1:p></u1:p></span></font><o:p></o:p></p>

<p class=3DMsoNormal><font size=3D2 color=3Dblack face=3DArial><span =
style=3D'font-size:
10.0pt;font-family:Arial'><u1:p>&nbsp;</u1:p></span></font><o:p></o:p></p=
>

<p class=3DMsoNormal><font size=3D2 color=3Dblack face=3DArial><span =
style=3D'font-size:
10.0pt;font-family:Arial'>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp=
;&nbsp;&nbsp;&nbsp;
- Aston<u1:p></u1:p></span></font><o:p></o:p></p>

</div>

</body>

</html>

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From meyer@imap.theory.csail.mit.edu  Thu Oct 27 11:08:39 2005
Message-ID: <4360ED83.80005@csail.mit.edu>
Date: Thu, 27 Oct 2005 11:08:51 -0400
From: "Prof. Albert R. Meyer" <meyer@csail.mit.edu>
Organization: MIT CSAIL
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To: Benjamin M Schwartz <bens@MIT.EDU>
CC: Ronitt Rubinfeld <ronitt@csail.mit.edu>
Subject: Re: [Jelani] O-notation
References: <20051026011451.izrjgyz1x1wkoooo@webmail.mit.edu>
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I agree, but the regrettable notation using equality has proved too 
widely accepted to change (despite serious past efforts in the Math 
community).

regards, A

Benjamin M Schwartz wrote:
> How can we write f = O(g) or f(n) = O(g(n))?  What's the equivalence?
> I think we should write "f is O(g)" or "f \in O(g)".
> 
> -Ben


From meyer@imap.theory.csail.mit.edu  Thu Oct 27 11:10:40 2005
Message-ID: <4360EDFC.9080205@csail.mit.edu>
Date: Thu, 27 Oct 2005 11:10:52 -0400
From: "Prof. Albert R. Meyer" <meyer@csail.mit.edu>
Organization: MIT CSAIL
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MIME-Version: 1.0
To: Amanda Seybold <vixen@MIT.EDU>
Subject: Re: [Jelani] LN8
References: <p05230102bf847ffa210a@[18.243.2.26]>
In-Reply-To: <p05230102bf847ffa210a@[18.243.2.26]>
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There shouldn't be any omega in the notes, unless we slipped up.  Maybe 
you mean Theta?

regards, A

Amanda Seybold wrote:
> I don't understand the difference between O(n) and omega(n).


From meyer@imap.theory.csail.mit.edu  Thu Oct 27 11:12:03 2005
Message-ID: <4360EE4F.40904@csail.mit.edu>
Date: Thu, 27 Oct 2005 11:12:15 -0400
From: "Prof. Albert R. Meyer" <meyer@csail.mit.edu>
Organization: MIT CSAIL
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MIME-Version: 1.0
To: Neil M Dowgun <dowgun@MIT.EDU>
Subject: Re: [Hanson] ln8 questions
References: <20051026144937.ss9y06ihebwokksg@webmail.mit.edu>
In-Reply-To: <20051026144937.ss9y06ihebwokksg@webmail.mit.edu>
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Neil M Dowgun wrote:
> Although I have a little trouble following some of the arithmatic used these
> lecture notes, Im sure you guys will be going over the important concepts,
> which I think I get. However there are little things that are bothering me,
> such 1) what is the difference between lim sup and lim?
defs and example are in the notes, but here's another simple one: the
sequence
0,1,0,1,0,1,...
has no limit, but has a limsup of 1.  Another way to think of it is, if
you have a sequence of real numbers that does not have a limit, then try
to find a subsequence that does have a limit.  The largest limit you can
obtain this way is the limsup.

Can we just use
> lHopital's method to find big Oh or are these two things fundamentally
> different?
l'Hopital is good for limits, not directly suited for limsup or BigOh.

2) Figure 3 does not seem to show the right way to stack the books -
> each book should overhang the one beneath it more than the one beneath it
> overhung the one one beneath that one. Like in Figure 4, basically.

In figs 2 & 3, we are defining overhang and deriving the increment n
overhang from adding the nth book.  We mustn't assume the shape of the
optimal stack, since that what we're trying to derive.  The figs,
especially fig 2, were drawn that way to emphasize that the definitions
made sense for any stack, and so could be used w/o circularity in
deducing what the optimal stack would be.

3) what
> happens if g is negative in f = O(g) ? for instance, if you're comparing two
> functions to see if f = (theta(g)), then you would not really be allowed to
> choose g, as you would if you wanted to find an upper asymtotic limit for f.

There's no consensus on how to define BigOh for negative g.  We could
specify one, but there's no point, since there's never been a need.

> Neil

Good questions.
Regards, A.



From yangc@MIT.EDU Thu Oct 27 15:58:40 2005
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From: "Chris Yang" <yangc@MIT.EDU>
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Subject: [David] Week 8 E-mail Comments
Date: Thu, 27 Oct 2005 16:00:35 -0400
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I did not really understand the derivation of Stirling's approximation of
the factorial - and I guess, to some extent, I did not really understand the
Integral Method.  I assume both of these things will be covered in greater
detail in class.

 

Thanks,

Chris Yang


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<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>I did not really understand the derivation of =
<st1:place
w:st=3D"on">Stirling</st1:place>&#8217;s approximation of the factorial =
&#8211;
and I guess, to some extent, I did not really understand the Integral =
Method.&nbsp;
I assume both of these things will be covered in greater detail in =
class.<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>Thanks,<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>Chris Yang<o:p></o:p></span></font></p>

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From rian@MIT.EDU Thu Oct 27 16:05:57 2005
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To: 6042-probs@theory.lcs.mit.edu
From: Rian Hunter <rian@MIT.EDU>
Subject: (jelani) required reading comments
Date: Thu, 27 Oct 2005 16:05:53 -0400
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These notes were more confusing than the past notes have been.  
Particularly in the proofs (sometimes i was not able to intuitively  
follow on the steps).

---

Firstly in page 10, where the integral method is described when H(sub) 
n is less than 1+ln(n) it doesn't say where the 1 comes from (it can  
be inferred that 1 is the area under the first bar: 1 * the-first- 
term, but it was confusing since it wasn't explicitly stated). Also  
if the integral method means:

(integral from 0->n) term * dx <= actual sum <= (1 * first-term) +  
(intergral from 1->n)

this is different from how it is used at the bottom of page 11. I  
understand its different because where you use x+1 depends on if that  
equation upper bounds or lower bounds the sum terms. This isn't clear  
from the notes, especially since a general equation is given earlier.  
This isn't necessarily bad, but math students usually have an  
affinity for digesting general equations more than general graphs.

---

Also the derivation of the distance of the tip of the bottom book  
from the edge of the table in n+1 books on page 8 is confusing simply  
because the definition of center of mass is expected to be known.  
Also usually the center of mass equation is a weighted average by  
mass, in the notes it is weighted by amount of books which may not  
intuitively correlate to mass for some people.

Thanks.

Rian

From shauni@MIT.EDU Thu Oct 27 17:09:25 2005
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From: "I. Shauni Deshmukh" <shauni@MIT.EDU>
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Subject: [Sayan] week 8 reading comments
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I am confused as to the differences between o, O, and theta; i.e. which one is
used when and why.

From moscicki@MIT.EDU Thu Oct 27 18:52:47 2005
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The value of money:  The formulas make sense, if the financial practices are
somewhat confusing :)  After that, I am a little shaky with the formulas about
summations.  It'll be good to see them presented in class.

Harmonic numbers:  Cool, seen these before, but not presented this way.
Stirling's Approximation:  Where did he come up with the sqrt(2<pi>n) term?  The
notes don't really explain that; they explain about taking the sum of ln, which
is followable, but then that other term just seems to appear.

Book Stacking... i am here stacking up cd's tryint to test...  interesting.

Little o:
The proof of Lemma 7.3 is mystifying.  Once I just accepted Lemma 7.3, the rest
was just some juggling of exponents.  I remember seeing the proofs they
mentioned (L'Hopital's rule and the MacLaurian Series ones) in my Calculus
class but don't remember them now.

Big O:
Necessarily more familiar from CS and math classes.
errrrm... lim sup?  I know lim...  and I thought I knew big O pretty well too...
this lim sup confuses the matter I think.  All the other stuff about Big O is
familar.

Theta is just an extension of the above.

From ridell@MIT.EDU Thu Oct 27 19:16:30 2005
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From: Rebecca Idell <ridell@MIT.EDU>
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Can we gover Stirling's formula from page 15 of the reading?  Maybe go into more
about how it can be used in proofs.

-Rebecca Idell


-- 
Rebecca Idell
Massachusetts Institute of Technology
Electrical Engineering and Computer Science, Class of 2007

479 Commonwealth Avenue
Boston, MA 02215
(617) 875-0889

From cvnguyen@MIT.EDU Thu Oct 27 19:18:52 2005
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From: "Chieu Nguyen" <cvnguyen@MIT.EDU>
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Subject: [Jelani] Week 8 comments
Date: Thu, 27 Oct 2005 19:18:49 -0400
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I found the book-stacking problem interesting and insightful. I've been 
thinking about it for a long time.

--Chieu Nguyen 


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Subject: 6.042: [Hanson] Week 8 Required Comments
Date: Thu, 27 Oct 2005 20:06:29 -0400
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I am not clear on the specifics of how to apply the integral method.   
I understand the example given on page 10, but I don't know how to  
apply it generally.  Having it stated formally, in general terms,  
would be nice.

Alex


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I'd like it if we could go over what it means to 'use the integral 
method' to find the bounds on a summation.

Thanks,
Alexander Bakst

From jeffhoff@MIT.EDU Thu Oct 27 20:34:40 2005
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Subject: [Hanson] Week 8 Comments
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Page 1
Section 2 / 2.1
Annuities

Apparently I'm confused on how they work because I'm having a
tough time with the first TP problem.  I think i'm confused mostly
with the future values and annuities and summations.  can
we do an example in class?



From hzhou@MIT.EDU Thu Oct 27 20:37:57 2005
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Subject: David-tp8 reading comment
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Hi,

I simply found the different methods of determining convergence to be very 
interesting.  The one concerning comparing a series with another known 
convergent or divergent series is a very clever method.

- Steven Zhou


From pgroudas@MIT.EDU Thu Oct 27 21:17:50 2005
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I found that overall, i grasped most of the comments, but working
through some of the math was very confusing.  For instance, the double
sum example on page 13 would have been easier to follow with perhaps
less steps and more explanation, or simply more explanation.

-Paul Groudas 

From brevzin@MIT.EDU Thu Oct 27 21:42:00 2005
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Subject: [Hanson] Comments
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So, I already showed Myers this, but the reading says that the source of 
the sum of squares formula is inexplicable. But it's not...

Let Sn = 1^2 + 2^2 + ... + n^2, so that S(0) = 0, S(1) = 1, S(2) = 5, ...
You know S(n) can be modeled by a polynomial function with rational 
coefficients, and since S(0), the constant term is 0, so there is a 
constant c such that n | cS(n) for all n.

So n+1 | cS(n+1), but cS(n+1) = cS(n) + c(n+1)^2... so n+1 | cS(n+1) iff 
n+1 | cS(n).

cS(2n+1) = 2cS(n) (mod 2n+1) and since 2n+1 | cS(2n+1), 2n+1 | 2cS(n), so 
2n+1 | cS(n).

So cS(n) has n, n+1, and 2n+1 as divisors. These are all relatively prime. 
So n(n+1)(2n+1) | cS(n). Plug in n = 1, 6 | c.

Thus, S(n) = n(n+1)(2n+1) / 6.

Barry


From zacharyozer@gmail.com Thu Oct 27 22:03:22 2005
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From: Zachary Adam Ozer <zozer@mit.edu>
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Subject: Question regarding Little O vs Big O
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What's the difference between them? It seems as though they're defined
as practically the same thing. Also, Theta appears to be the same
relation, only in a slightly different form. Is Theta derivable from
Big Oh or Little Oh?

-zozer


From petek@MIT.EDU Thu Oct 27 22:24:33 2005
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Date: Thu, 27 Oct 2005 22:24:42 -0400
From: Pete Kruskall <petek@MIT.EDU>
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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<font size="-1">I think I'd like to see a good lecture on Big O /
Little O / Theta, just to help me get a real sense on how to
differentiate between them.....often I've used Theta and Big O
interchangeably.....<br>
<br>
-P<br>
</font>
<pre class="moz-signature" cols="72">-- 
Pete Kruskall
28 The Fenway
Boston, MA 02215

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From ozcan@MIT.EDU Thu Oct 27 22:37:22 2005
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From: Yasin Ozcan <ozcan@MIT.EDU>
Subject: [hanson]reading comments
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section 3.2: evaluating the sum, the integral method: the entire section

This method is so amazing, I would have never thought of approximating the 
sum by bounding it from up and down, and it also looks quite useful.

yasin


From bilodeau@MIT.EDU Thu Oct 27 22:42:59 2005
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From: "Peter Bilodeau" <bilodeau@MIT.EDU>
To: <6042-probs@theory.lcs.mit.edu>
Subject: [jelani] Reading Comments
Date: Thu, 27 Oct 2005 22:42:43 -0400
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For this reading I thought that the notation f = O(g) to be particularly
confusing.  It seems to be another example of when "=" does not mean equal,
like modular arithmetic.  Also I find it not quite intuitive that the degree
of f = degree of g if f = O(g) yet  f ~ g is not true.

 

Peter Bilodeau


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<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>For this reading I thought that the notation f =3D =
O(g) to be
particularly confusing.&nbsp; It seems to be another example of when =
&#8220;=3D&#8221;
does not mean equal, like modular arithmetic.&nbsp; Also I find it not =
quite
intuitive that the degree of f =3D degree of g if f =3D O(g) yet&nbsp; f =
~ g is not
true.<o:p></o:p></span></font></p>

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<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
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font-family:Arial'>Peter Bilodeau<o:p></o:p></span></font></p>

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From mwangi@MIT.EDU Thu Oct 27 22:47:44 2005
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Date: Thu, 27 Oct 2005 22:47:31 -0400
To: 6042-probs@theory.csail.mit.edu
From: Timothy Mwangi <mwangi@MIT.EDU>
Subject: [Sayan] Week 8 Comments
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Passage:  3.1 Formalizing the problem
Page:       7
I found this passage most surprising because, intuitively, I did not think 
that it was possible to make a stable stack whose overhang was more 
than  1/2 the length of a book.

Sincerely,
Timothy M. Mwangi 


From arup@MIT.EDU Thu Oct 27 23:34:37 2005
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Subject: [Jelani] Reading Comments
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Section 3, pp 7-9:

I just got kindof lost reading the explanation of how we get to the 
expression for B_n, so it would be helpful if we went over this in lecture.

|Arup|


From fluff@MIT.EDU Thu Oct 27 23:34:52 2005
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To: 6042-probs@theory.lcs.mit.edu
From: Crystal Chao <fluff@MIT.EDU>
Subject: [Jelani] week 8 reading
Date: Thu, 27 Oct 2005 23:32:50 -0400
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I thought the sudden appearance of sqrt(2*pi*n) in Stirling's Formula  
on pg.14 was like, whoa, where the hell did that come from? The whole  
part before that only talked about getting (n/e)^n. But I'm assuming  
the justification is long and nasty and that I wouldn't want to see  
it anyway.

Also, the differences between the various oh's are way too subtle for  
me.

~Crystal

From jjmonzon@MIT.EDU Thu Oct 27 23:38:47 2005
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Subject: [David] - Reading Comments
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This topic (sums, products) is very interesting. I partically was 
amazed by the book stacking problem. I can't believe that this is 
possible. I hope that the big and small o formulas be discussed in the lecture.

Josh


Joshua Jen C. Monzon
Massachusetts Institute of Technology
Electrical Engineering with Computer Science
jjmonzon@mit.edu   617-803-7497


From lana@MIT.EDU Thu Oct 27 23:57:54 2005
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From: Svetlana Goldenberg <lana@MIT.EDU>
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In my opinion, the most confusing part of the notes was the part about the sum
bounded by integrals. I would like to see an efficient and rigorous method for
finding these bounds for a general function in lecture.
Lana

From ryan786@MIT.EDU Fri Oct 28 00:01:50 2005
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I don't understand big O notation.  I had a very hard time with the TPs dealing
with it, even after going through the reading section multiple times. 
Hopefully this will be covered in MUCH detail in lecture, or I will come in for
office hours.

-Ryan Young

From clintonb@MIT.EDU Fri Oct 28 00:04:56 2005
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From: "Clinton Blackburn" <clintonb@MIT.EDU>
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Subject: Week 8 Comments
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IRRELEVANT: That new logo scares me; take it down. 

 

Could we go over the Integral Method in class? I think a few more examples
would be helpful.

---

Clinton Blackburn

 <http://www.dlp.com/> DLP - Have you seen it? 

 

 


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<body lang=3DEN-US link=3Dblue vlink=3Dpurple>

<div class=3DSection1>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>IRRELEVANT: That new logo scares me; take it down. =
<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>Could we go over the Integral Method in class? I =
think a few
more examples would be helpful.<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>---</span></font><o:p></o:p></p>

<p class=3DMsoNormal><st1:City w:st=3D"on"><font size=3D2 =
face=3DArial><span
 =
style=3D'font-size:10.0pt;font-family:Arial'>Clinton</span></font></st1:C=
ity><font
size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;font-family:Arial'> <st1:place
w:st=3D"on">Blackburn</st1:place></span></font><o:p></o:p></p>

<p class=3DMsoNormal><font size=3D3 face=3D"Times New Roman"><span =
style=3D'font-size:
12.0pt'><a href=3D"http://www.dlp.com/"><font size=3D2 =
face=3DArial><span
style=3D'font-size:10.0pt;font-family:Arial'>DLP &#8211; Have you seen =
it?</span></font>&nbsp;</a><o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D3 face=3D"Times New Roman"><span =
style=3D'font-size:
12.0pt'>&nbsp;</span><o:p></o:p></font></p>

<p class=3DMsoNormal><font size=3D3 face=3D"Times New Roman"><span =
style=3D'font-size:
12.0pt'><o:p>&nbsp;</o:p></span></font></p>

</div>

</body>

</html>

------=_NextPart_000_0098_01C5DB53.0D3DCE50--


From nedzel@MIT.EDU Fri Oct 28 00:14:27 2005
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From: "David A. Nedzel" <nedzel@MIT.EDU>
To: <6042-probs@theory.csail.mit.edu>
Subject: [Sayan] Week 8 Comments
Date: Fri, 28 Oct 2005 00:14:18 -0400
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I'm a bit confused by the presentation of asymptotic notation: "little oh"
vs. "big oh" vs. theta

- David


From meyer@csail.mit.edu Fri Oct 28 00:19:08 2005
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it's gone.  was was only there for a few minutes (preparing for 
Halloween :-) )

regards, A.

Clinton Blackburn wrote:
> IRRELEVANT: That new logo scares me; take it down.
> 
>  
> 
> Could we go over the Integral Method in class? I think a few more 
> examples would be helpful.
> 
> ---
> 
> Clinton Blackburn
> 
> DLP – Have you seen it?  <http://www.dlp.com/>
> 
>  
> 
>  
> 

From meyer@imap.theory.csail.mit.edu  Fri Oct 28 00:19:08 2005
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it's gone.  was was only there for a few minutes (preparing for 
Halloween :-) )

regards, A.

Clinton Blackburn wrote:
> IRRELEVANT: That new logo scares me; take it down.
> 
>  
> 
> Could we go over the Integral Method in class? I think a few more 
> examples would be helpful.
> 
> ---
> 
> Clinton Blackburn
> 
> DLP – Have you seen it?  <http://www.dlp.com/>
> 
>  
> 
>  
> 


From benlu@MIT.EDU Fri Oct 28 00:24:01 2005
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I had a very good understanding of Big Oh, Little Oh, and Theta notation 
in 6.001 and 6.170. For some reason, seeing the formal definitions just 
totally confused me. I want to think about them in terms of orders of 
growth in time or space, not in terms of limits and partial orders.

Also, the Integral Method was never really well described. Is this just 
something that we have to infer by looking at a graph? By inspection? Is 
there an actual method? Does it have to be exact?

~Ben Lu


From tonyng@MIT.EDU Fri Oct 28 00:58:35 2005
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Subject: [Jelani] Reading Comments Week 8
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I am a little uncertain about the Theta notation (Section 7.3, starting in 
pg 18). Does theta imply both an upper and a lower bound? So if I have 
something such as n^2, it can be bounded by 2n^2 and 0.5n^2 so it would be 
theta(n^2). And if we have an unusual function that has a different 
asymptotic upper and lower bound, would that mean that there is no theta 
notation for that function?

- Tony


From hsoumare@MIT.EDU Fri Oct 28 01:03:10 2005
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To: 6042-probs@theory.lcs.mit.edu
From: Hamidou Soumare <hsoumare@MIT.EDU>
Subject: {Sayan} Weekly Email Comment
Date: Fri, 28 Oct 2005 01:12:00 -0400
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I found the most interesting passage to be the one on page 6-7 about  
how $1 Million today is worth more than an annuity that increases as  
time goes on paid out forever.

Hamidou Soumare

From rshroff@MIT.EDU Fri Oct 28 01:12:06 2005
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Reference: Section 7, Asymptotic Notation.

I found this part of the reading extremely interesting but difficult as well.
Hopefully we will go over it in lecture in some detail.

-Rahul Shroff

From jstritar@MIT.EDU Fri Oct 28 01:12:23 2005
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Subject: [Sayan] Reading comments
From: Jon Stritar <jstritar@MIT.EDU>
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3. Book Stacking

I thought this was an interesting application of sums and Harmonic
numbers. It seemed like a very clever approach to the problem.

Jon Stritar


From lkini@MIT.EDU Fri Oct 28 01:19:25 2005
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Date: Fri, 28 Oct 2005 01:19:19 -0400
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Hi Hanson,

The thing I found most difficult to understand (but I sorta get it) is 
the use of the integral method in 3.2 Evaluating the Sum page 10. I had, 
at first, difficulty understanding why the integral was 1 + S (1/x) and 
the lower bound was S (1/[x+1]). I now realize the 1 is to offset the 
stairstep integral.

Lohith

From ereid@MIT.EDU Fri Oct 28 01:44:22 2005
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Subject: [Hanson] Reading comments
Date: Fri, 28 Oct 2005 01:43:58 -0400
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I'm still a little confused as to what the methodology for the  
integral method entails - what is the standard method used to figure  
out which integrals to look at?

From hkhall@MIT.EDU Fri Oct 28 01:50:55 2005
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From: Harrison King Hall <hkhall@MIT.EDU>
Subject: [David] Reading Comments 8, Harrison Hall
Date: Fri, 28 Oct 2005 01:52:43 -0400
To: 6042-probs@theory.lcs.mit.edu
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David-
Two things intrigued me this week with the reading.  I understand the 
book stacking algorithm, but can it be done on objects where the center 
of mass is not  centralized or the objects are considered linearly 
symmetric, i feel sure that there can, but is there an algorithm for 
such?  I find it cool that they(CS people) finally gave a formal 
definition of Big O notation, little O, and Theta.  I was always able 
to do them but never understood the workings behind them or from where 
they derived other that intuition.  And where does this constant C 
applied to Big O come from?  Is it assumed that  
10x^2=O(x^2)-->10x^2=O(c*x^2)?  Thanks, this was my favorite reading so 
far, cool topic.
-Harrison


From mracich@MIT.EDU Fri Oct 28 01:57:19 2005
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Subject: [Sayan] Comments for Course Notes, Week 8 (Sums, Products, &
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From: Moira Racich <mracich@MIT.EDU>
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I found section 6, "Stirling's Approximation", (starting on page 13)
interesting, but also kind of confusing.  I would appreciate it if this
was reviewed in greater depth during lecture.   

Moira Racich


From lmccart@MIT.EDU Fri Oct 28 02:06:00 2005
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Date: Fri, 28 Oct 2005 01:58:20 -0400
From: Lauren McCarthy <lmccart@MIT.EDU>
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Subject: [david] week 8
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The part I found most confusing in this week's reading was the stuff about
Stirling's Approximation.  If we could go over this in class that would be
awesome.

About my group, it has gotten somewhat better.  If you would prefer me to stay
with my current group, I guess this late in the semester it doesn't really
matter that much.  I appreciate yours and the professors efforts to help our
group work better together.

-lauren

From kevin08@MIT.EDU Fri Oct 28 02:15:53 2005
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Subject: [Hanson]@mit.edu 6.042 Reading 8
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Hi Hanson,

I was confused about the double summation in section 5, page 14. I 
don't understand how many of the equalities are rationalized. If we 
could go over that step by step in class, that would be great.

Thanks,
Kevin


From kevin08@MIT.EDU Fri Oct 28 02:16:53 2005
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on page 15, 1+10^-6 should be 1*10^-6 (I think ...)


From jehan@MIT.EDU Fri Oct 28 02:33:39 2005
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Subject: [Sayan] Week 8 Comments
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I don't understand harmonic numbers.


From antonk@MIT.EDU Fri Oct 28 03:05:47 2005
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From: "Anton Katz" <antonk@MIT.EDU>
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Subject: [David] need a clarification
Date: Fri, 28 Oct 2005 03:05:28 -0400
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Hi,

In the chapter about the Big Oh I have some question regarding the constant
use of the limit functions.

If it is possible I would like to hear more about the different lims that
are used there and why are they used.

I understand that the Big Oh the upper bound, sometimes treated as the worse
case scenario in programs, but I don't understand the different notations of
the lims.

 

 

Thank you,

 

Anton.


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<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
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font-family:Arial'>Hi,<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>In the chapter about the Big Oh I have some question
regarding the constant use of the limit =
functions.<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>If it is possible I would like to hear more about the
different lims that are used there and why are they =
used.<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>I understand that the Big Oh the upper bound, =
sometimes
treated as the worse case scenario in programs, but I don&#8217;t =
understand
the different notations of the lims.<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>Thank you,<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'><o:p>&nbsp;</o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 face=3DArial><span =
style=3D'font-size:10.0pt;
font-family:Arial'>Anton.<o:p></o:p></span></font></p>

</div>

</body>

</html>

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From mpapi@MIT.EDU Fri Oct 28 03:41:39 2005
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Subject: [Jelani] Week 8 comments
From: Matt Papi <mpapi@MIT.EDU>
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Page 17, section 7.2 on Big Oh - it's pretty straightforward but it's
something that I tend to mess up anyway. (It doesn't help that other CS
courses sort of blur the distinction between big oh and theta.) I'd
definitely like to see more examples, for sure, especially ones that use
log. 

-M


From ctsims@MIT.EDU Fri Oct 28 03:41:48 2005
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Subject: [6.042] Reading Comment
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1) f(x)  = log(x)   f(1) = 0
    g(x)  = x        g(1) = 1

    lim   g(x)/f(x)  = x/log(x) = (By L'Hopital's) 1/(1/(x*ln(10))) = 
lim     x*ln(10) = oo
   x->oo                                                              x->oo

x = log(x) has no intersections.

g(x) starts higher than f(x), ends higher than f(x), and the two graphs do 
not intersect, therefore g(x) > f(x) for all x > 1.

2)

Transitivity
lim   f(x)  = 0  lim      g(x) = 0         f(x) < g(x) < h(x) so  lim  f(x) = 0
x-oo 
g(x)        x->oo  h(x)                                                   h(x)
fRg                 gRh                                      fRh


asymetric
lim       f(x) = 0 lim      g(x)  = oo
x->oo  g(x)       x->oo  f(x)

if fRg, not gRf

3)
f ~g iff f and g are asymptotically equal,
f and g are asymptotically equal iff at x ->oo df/dx = dg/dx
At x ->oo df/dx = dg/dx  iff f = g + j(function that relates non x->oo, to 
add factors that were ignored due to x being infinite)
j = h iff  h = o(g), otherwise f != O(g + h) which must be true for the ~ 
relation.
Thus
f ~g iff f = g + h



I found the passage on page 12 regarding Exchanging the order of summation 
to be somewhat confusing. I would like to have the sections about double 
sums to be explained moreso in lecture. In particular, how sums which are 
not cleanly and directly related are handled.  


From mdmurray@MIT.EDU Fri Oct 28 03:51:21 2005
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Date: Fri, 28 Oct 2005 03:50:44 -0400
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I don't really understand the section on Double Summing. I don't  
understand the "triangle chart" and also some lines of the derivation  
at the end of the section. Maybe it would help if there was some  
explanation of how to get from one line to the next in the derivation.

Also in general I feel the readings are getting very long. We had a  
15 page reading last friday for this monday, and now we have a 20  
page reading from wednesday. I think it is alot to take in in one week.

Thanks,
Michael

From a_lopez@MIT.EDU Fri Oct 28 03:51:33 2005
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I didn't really understand the book stacking problem.  I specially 
didn't understand how the formula B_(n+1) = B_n + 1/(2(n+1)) was 
derived.  And I don't know how to actually stack up the books, that is, 
if someone gave me n books and told me to stack them up, I know I can do 
it, but I don't know how.  Also, if I already have n books stacked and I 
want to add one more, do I have to move the n books that are already 
stacked?

Adriana López

From kjhollen@MIT.EDU Fri Oct 28 04:17:07 2005
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Subject: [Hanson] interesting
From: Kate Hollenbach <kjhollen@MIT.EDU>
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The section on the integral method (p. 10) was interesting. Hope to get
some of the math down in class tomorrow.

Kate


From jacques@MIT.EDU Fri Oct 28 06:25:17 2005
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For Week 8, page 14-15, I found the sections on Stirling's Formula and
Approximation sort of hand-wavy (technical term).  It does say for Stirling's
Approximation that the reason there is no proof of it's legitimacy is that "the
details are nasty", so I can understand why it was omitted (although it probably
would have been cool).  But I don't get where the root 2*pi*n comes from in
Stirling's Formula; it just seems to come out of thin air without any reason
but "more careful analysis" (what analysis?).

From cbossard@MIT.EDU Fri Oct 28 06:25:49 2005
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I find big/little O and Theta very confusing.  Also can you do a short
recap on annuities b/c I thought I understood it and then I was unable
to solve the first tutor problem.
Cynthia

From xiaoranz@MIT.EDU Fri Oct 28 08:30:44 2005
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From: "Xiaoran (Sharon) Zhang" <xiaoranz@MIT.EDU>
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Subject: [Hanson] Weekly Comments
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I thought finding annuity and big/little O are interesting topics. But the rules
for mannipulating more than one summations are not clear, is there a list of
rules we can apply to summations like those we can apply to mod?

Sharon

**************************************************
Xiaoran (Sharon) Zhang
Class of 2008
Department of Biology &
Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology
320 Memorial Drive,
Cambridge, MA 02139
E-mail: xiaoranz@mit.edu
**************************************************

From meyer@imap.theory.csail.mit.edu  Fri Oct 28 08:54:43 2005
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 Ronitt Rubinfeld <ronitt@theory.csail.mit.edu>
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Glad to hear we've been able to help.  I think it's wiser to stick with 
your group for now, but the choice remains yours -- feel free to request 
a switch at any time, and let me know of any other problems that may 
come up.

Re: Stirling: it's a bit of elementary, but ingenious, 18th century 
calculus reasoning that leads to the final formula.  It could be 
understood by 6.042 students, but would cost a lecture to spell out 
fully and would dilute our focus on discrete Math, so we omit the 
details.  Proofs are available in many calculus texts.

regards, A.

Lauren McCarthy wrote:

>The part I found most confusing in this week's reading was the stuff about
>Stirling's Approximation.  If we could go over this in class that would be
>awesome.
>
>About my group, it has gotten somewhat better.  If you would prefer me to stay
>with my current group, I guess this late in the semester it doesn't really
>matter that much.  I appreciate yours and the professors efforts to help our
>group work better together.
>
>-lauren
>  
>


From alisonc@MIT.EDU Fri Oct 28 09:06:12 2005
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It would be nice to hear more in class on the summation and 
approximation formulae. I'm having a little trouble getting a firm grasp 
on the Integral Method particularly... how much of the given example is 
general and how much is specific to that case.

From meyer@imap.theory.csail.mit.edu  Fri Oct 28 09:08:06 2005
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Some elementary, but ingenious, 18th century calculus reasoning  leads 
to Stirling's formula.  It could be understood by 6.042 students, but 
would cost a lecture to spell out fully and would dilute our focus on 
discrete Math.  So we settle for proving a rough bound using the 
integral method, and then just state the exact bound w/o proof.  You'll 
find proofs in many calculus texts if you want to pursue this.

Regards, A.

jacques wrote:

>For Week 8, page 14-15, I found the sections on Stirling's Formula and
>Approximation sort of hand-wavy (technical term).  It does say for Stirling's
>Approximation that the reason there is no proof of it's legitimacy is that "the
>details are nasty", so I can understand why it was omitted (although it probably
>would have been cool).  But I don't get where the root 2*pi*n comes from in
>Stirling's Formula; it just seems to come out of thin air without any reason
>but "more careful analysis" (what analysis?).
>  
>


From aeon@MIT.EDU Fri Oct 28 09:17:38 2005
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Page 15, "Asymptotic Notation"
Not much to say other than there are very few examples for the three sections.
They're not bad examples, but they're not particularly elucidating and they're
only given for special cases. Also, if there are some visuals, like graphs,
they'd be perfect to help demonstrate these concepts (particularly with respect
to algorithms).

John Marrero

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There were a couple of things in this week's notes that I have seen =
before. I saw the order of growth function in 6.001. For some reason the =
explanation I got in 6.001 made more intuitive sense that the one in the =
notes. It took me quite a while to figure out that they're the same =
thing.
In high school I learnt a way to find closed formulas for series. If you =
have a series F(n), write out the first and las few terms of F(n), =
-F(n-1) and -F(n+1). You would find a pattern and be able to cross out =
all the terms besides a first one or 2 and the last few terms.
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<DIV><FONT face=3DArial size=3D2>There were a couple of things in this =
week's notes=20
that I have seen before. I saw the order of growth function in 6.001. =
For some=20
reason the explanation I got in 6.001 made more intuitive sense that the =
one in=20
the notes. It took me quite a while to figure out that they're the same=20
thing.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>In high school I learnt a way to find =
closed=20
formulas for series. If you have a series F(n), write out the first and =
las few=20
terms of F(n), -F(n-1) and -F(n+1). You would find a pattern and be able =
to=20
cross out all the terms besides a first one or 2 and the last few=20
terms.</FONT></DIV></BODY></HTML>

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From miki_tnd@MIT.EDU Fri Oct 28 09:23:56 2005
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I'm not understanding the integral method described on pg.10.  Can you go over
this in class?

~Thu

From kromer@MIT.EDU Fri Oct 28 09:24:35 2005
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p. 8 "So the maximum overhang, Bn+1, of a stack of n+1 books is obtained by
placing a maximum overhang stable stack of n books on top of the bottom book.
And we get the biggest overhang for the stack of n+1 books by placing the
center of mass of the n books right over the edge of the bottom book..."

This sounds reasonable, but I'm not sure how I'd prove that its true (in
particular, how you know that you do best by placing the center of mass of the
n books over the edge of the bottom book).

From fgreen@MIT.EDU Fri Oct 28 09:42:42 2005
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Section 2, Pages 3 and 4

Is there any particular significance of the annuity type problems to computer
science, or is it just a good example of geometric series?

 -Forrest Green

From sil_03@MIT.EDU Fri Oct 28 09:51:31 2005
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I found this week's notes very hard to understand.  An explanation of what was
done in each step to simplify the math problem would be nice, like on page 8
and 13.  Also, more examples for big Oh and theta would help me understand it
better.

~Silvia

From rshearer@MIT.EDU Fri Oct 28 10:26:09 2005
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From: Rachel Shearer <rshearer@MIT.EDU>
Subject: [Jelani] TP8 Comment
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I don't think I understand Big Oh very well.  I got the tutor problems 
right but I don't really know why :)

Rachel


From nancyk@MIT.EDU Fri Oct 28 10:36:48 2005
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Date: Fri, 28 Oct 2005 10:36:38 -0400
From: Nancy L Keuss <nancyk@MIT.EDU>
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Hi,

I think that the asymptotic notation is explained well, but some more examples
might be helpful in the notes. Also, for one of the online tutorial asymptotic
notation problems, the answer was "none." I realize that this was because we
were limited to choosing choosing n in the form O(x^n), but in general does
there ever not exist asymptotic notation for a function?

Thanks,
Nancy Keuss

From mukkala@MIT.EDU Fri Oct 28 10:47:06 2005
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In section 3.2, the notes describe evaluating the Sum using the Integral 
Method.  In their example, in order to create upper and lower bounds for 
the summation of 1/i from i = 1 to n, they say that "the function 1/x is 
everywhere greater than or equal to the stairstep and so the integral of 
1/x over this interval is an upper bound on the sum."  However, in their 
calculation of the integral, they use Hn <= 1 + (integral of dx/x from 1 to 
n) for the upper bound calculation.  Did they need to add an extra 1?  In 
general, how does one pick these functions for the upper bound and lower 
bound?  They seem fairly arbitrarily based on the summation.


From harelw@gmail.com Fri Oct 28 10:56:28 2005
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Hey Jelani,

I would like to go over n-time stuff as well as the integral method; it is
not really clear to me how to do them by the notes.

~H

--
Harel M. Williams '06
Massachusetts Institute of Technology
Department of Electrical Engineering and Computer Science

cell: 516.610.3393
email: harelw@mit.edu

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Hey Jelani,<br>
<br>
I would like to go over n-time stuff as well as the integral method; it is =
not really clear to me how to do them by the notes.<br>
<br>
~H<br clear=3D"all"><br>-- <br>Harel M. Williams '06<br>Massachusetts Insti=
tute of Technology <br>Department of Electrical Engineering and Computer Sc=
ience<br><br>cell: 516.610.3393<br>email: <a href=3D"mailto:harelw@mit.edu"=
>
harelw@mit.edu</a><br>

------=_Part_3283_5285812.1130511387700--

From yaser@MIT.EDU Fri Oct 28 10:58:36 2005
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From: "Yaser Khan" <yaser@MIT.EDU>
To: <6042-probs@theory.lcs.mit.edu>
Subject: David: week8 reading response
Date: Fri, 28 Oct 2005 10:58:31 -0400
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Hi David,
 
I would like it if in lecture you guys can make clear the distinctions
between the various notations in the reading. I realize the basic
differences between little Oh, big Oh, theta, etc., but perhaps having a bit
of explicit explanation regarding when to use them would be helpful.
 
Thanks!
 
_Yaser

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<p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DVerdana><span =
style=3D'font-size:
10.0pt;font-family:Verdana;color:navy'>Hi =
David,<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DVerdana><span =
style=3D'font-size:
10.0pt;font-family:Verdana;color:navy'><o:p>&nbsp;</o:p></span></font></p=
>

<p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DVerdana><span =
style=3D'font-size:
10.0pt;font-family:Verdana;color:navy'>I would like it if in lecture you =
guys
can make clear the distinctions between the various notations in the =
reading. I
realize the basic differences between little Oh, big Oh, theta, etc., =
but
perhaps having a bit of explicit explanation regarding when to use them =
would
be helpful.<o:p></o:p></span></font></p>

<p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DVerdana><span =
style=3D'font-size:
10.0pt;font-family:Verdana;color:navy'><o:p>&nbsp;</o:p></span></font></p=
>

<p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DVerdana><span =
style=3D'font-size:
10.0pt;font-family:Verdana;color:navy'>Thanks!<o:p></o:p></span></font></=
p>

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style=3D'font-size:
10.0pt;font-family:Verdana;color:navy'><o:p>&nbsp;</o:p></span></font></p=
>

<p class=3DMsoNormal><font size=3D2 color=3Dnavy face=3DVerdana><span =
style=3D'font-size:
10.0pt;font-family:Verdana;color:navy'>_Yaser<o:p></o:p></span></font></p=
>

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From crowell@MIT.EDU Fri Oct 28 11:03:24 2005
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Date: Fri, 28 Oct 2005 11:02:58 -0400
From: Robert Crowell <crowell@MIT.EDU>
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I don't understand the section on adding up the double series, page 12-13
section 5.

From hmzhou@blackbird.csail.mit.edu Fri Oct 28 11:46:13 2005
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Date: Fri, 28 Oct 2005 11:46:13 -0400 (EDT)
From: Hanson Zhou <hmzhou@theory.csail.mit.edu>
To: Angelique E Moscicki <moscicki@MIT.EDU>
cc: 6042-probs@theory.lcs.MIT.EDU
Subject: Re: [Hanson] week 8 comments
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> Harmonic numbers:  Cool, seen these before, but not presented this way.
> Stirling's Approximation:  Where did he come up with the sqrt(2<pi>n) term?  The

You are not meant to know where the sqrt term comes from.  Not necessary
for our purposes here.

> The proof of Lemma 7.3 is mystifying.  Once I just accepted Lemma 7.3, the rest
> was just some juggling of exponents.  I remember seeing the proofs they

Don't worry too much about it.  Your understanding of this is most likely
good enough.  Lemma 7.3 simply proves what you already know by reducing it
to something even easier to see: that x^a = o(x^b) for a<b.  See me if you
really want to sort out the details of the proof..essentially it rewrites
x so that log x can be bounded by something of the form x^c.

 > Big O:
> Necessarily more familiar from CS and math classes.
> errrrm... lim sup?  I know lim...  and I thought I knew big O pretty well too...

Sometimes sequences don't have limits, ie, 1, 0, 1, 0, 1, 0, 1...  lim sup
is the largest limit obtainable from any subsequence(in this case, 1).

-Hanson

From hmzhou@blackbird.csail.mit.edu Fri Oct 28 11:51:17 2005
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Date: Fri, 28 Oct 2005 11:51:17 -0400 (EDT)
From: Hanson Zhou <hmzhou@theory.csail.mit.edu>
To: Elizabeth Reid <ereid@MIT.EDU>
cc: 6042-probs@theory.lcs.mit.edu
Subject: Re: [Hanson] Reading comments
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Well...you usually simply integrate the function in the sum.  For example,
\sum x^2 can be approximated by looking at the integral of x^2 because
summing is just a discrete version of integrating.  When you integrate,
you take the area under the curve.  When you sum, you add up the areas of
the rectangles under the curve.  Make sense?

-Hanson

On Fri, 28 Oct 2005, Elizabeth Reid wrote:

> I'm still a little confused as to what the methodology for the
> integral method entails - what is the standard method used to figure
> out which integrals to look at?
>

From hmzhou@blackbird.csail.mit.edu Fri Oct 28 11:52:12 2005
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Date: Fri, 28 Oct 2005 11:52:12 -0400 (EDT)
From: Hanson Zhou <hmzhou@theory.csail.mit.edu>
To: Kevin Wang <kevin08@MIT.EDU>
cc: 6042-probs@theory.lcs.mit.edu
Subject: Re: [Hanson]@mit.edu 6.042 Reading 8
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See me if you remain confused.

-Hanson

On Fri, 28 Oct 2005, Kevin Wang wrote:

> Hi Hanson,
>
> I was confused about the double summation in section 5, page 14. I
> don't understand how many of the equalities are rationalized. If we
> could go over that step by step in class, that would be great.
>
> Thanks,
> Kevin
>
>

From hmzhou@blackbird.csail.mit.edu Fri Oct 28 11:55:07 2005
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From: Hanson Zhou <hmzhou@theory.csail.mit.edu>
To: Michael Murray <mdmurray@MIT.EDU>
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See me if this remains confusing.

-Hanson

On Fri, 28 Oct 2005, Michael Murray wrote:

> I don't really understand the section on Double Summing. I don't
> understand the "triangle chart" and also some lines of the derivation
> at the end of the section. Maybe it would help if there was some
> explanation of how to get from one line to the next in the derivation.
>
> Also in general I feel the readings are getting very long. We had a
> 15 page reading last friday for this monday, and now we have a 20
> page reading from wednesday. I think it is alot to take in in one week.
>
> Thanks,
> Michael
>

From hmzhou@blackbird.csail.mit.edu Fri Oct 28 11:58:40 2005
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Date: Fri, 28 Oct 2005 11:58:39 -0400 (EDT)
From: Hanson Zhou <hmzhou@theory.csail.mit.edu>
To: "Xiaoran (Sharon) Zhang" <xiaoranz@MIT.EDU>
cc: 6042-probs@theory.lcs.MIT.EDU
Subject: Re: [Hanson] Weekly Comments
In-Reply-To: <20051028083041.a6m8npvwc80k00g0@webmail.mit.edu>
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Which summation tricks are not clear?  There is no "big list" but you
should understand the various tricks that we do use in the course.

-Hanson

On Fri, 28 Oct 2005, Xiaoran (Sharon) Zhang wrote:

> I thought finding annuity and big/little O are interesting topics. But the rules
> for mannipulating more than one summations are not clear, is there a list of
> rules we can apply to summations like those we can apply to mod?
>
> Sharon
>
> **************************************************
> Xiaoran (Sharon) Zhang
> Class of 2008
> Department of Biology &
> Department of Electrical Engineering and Computer Science
> Massachusetts Institute of Technology
> 320 Memorial Drive,
> Cambridge, MA 02139
> E-mail: xiaoranz@mit.edu
> **************************************************
>

From hmzhou@blackbird.csail.mit.edu Fri Oct 28 12:07:16 2005
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From: Hanson Zhou <hmzhou@theory.csail.MIT.EDU>
To: Nancy L Keuss <nancyk@MIT.EDU>
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Subject: Re: [Hanson] Week 8 reading comments
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Well...nothing reasonable that I can think of.  Given f(x), one can always
construct the asymptotically larger xf(x).

-Hanson

On Fri, 28 Oct 2005, Nancy L Keuss wrote:

> Hi,
>
> I think that the asymptotic notation is explained well, but some more examples
> might be helpful in the notes. Also, for one of the online tutorial asymptotic
> notation problems, the answer was "none." I realize that this was because we
> were limited to choosing choosing n in the form O(x^n), but in general does
> there ever not exist asymptotic notation for a function?
>
> Thanks,
> Nancy Keuss
>

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I would like methods for finding summation formulas discussed in lecture.


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<p class=3DMsoNormal><font size=3D2 face=3D"Courier New"><span =
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font-family:"Courier New"'>I would like methods for finding summation =
formulas
discussed in lecture.<o:p></o:p></span></font></p>

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From kushan@MIT.EDU Fri Oct 28 13:12:41 2005
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From: Kushan K Surana <kushan@MIT.EDU>
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Subject: TA: Hanson (Week 8 comments)
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The notes are easy to follow until the book stacking problem. It would be
helpful if the professor could go over the idea step by step. I understand that
one book can overhang half a book length. But then generalizing that idea to
(n+1) books is unclear.

The use of equality for asymptotic notation was unclear until the last paragraph
which explained it

Also, from last week's notes, the last two explanations of why every boy should
be matched with a girl and why every marriage is stable seem circular. It's
hard to follow the argument in so many words. I would prefer a step-by-step
explanation where one step follows from another, instead of a paragraph form.

Kushan

From dangut@MIT.EDU Fri Oct 28 13:35:13 2005
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I just have a question concerning Big O, one of the problems discussed at the
end is 4^x is not O(2^x), but it doesn't say what the Big-oh for it actually
is.  Is the big-oh for 4^x just a number arbitrarily larger than 4 to the power
of x?
Daniel Gutierrez

From dshin@MIT.EDU Fri Oct 28 14:22:28 2005
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Well, if it was any further out, it would fall over, right?

Katherine A Romer wrote:

>p. 8 "So the maximum overhang, Bn+1, of a stack of n+1 books is obtained by
>placing a maximum overhang stable stack of n books on top of the bottom book.
>And we get the biggest overhang for the stack of n+1 books by placing the
>center of mass of the n books right over the edge of the bottom book..."
>
>This sounds reasonable, but I'm not sure how I'd prove that its true (in
>particular, how you know that you do best by placing the center of mass of the
>n books over the edge of the bottom book).
>  
>

From dshin@MIT.EDU Fri Oct 28 14:30:10 2005
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Yes, it is true that c*x^2 = O(x^2). 

As for book stacking with non-centralized centers of mass, the problem 
actually just gets easier the further your center of mass gets from the 
center.  You can see this by placing unevenly balanced books so that 
their centers of mass are closer towards the table. 

Harrison King Hall wrote:

> David-
> Two things intrigued me this week with the reading.  I understand the 
> book stacking algorithm, but can it be done on objects where the 
> center of mass is not  centralized or the objects are considered 
> linearly symmetric, i feel sure that there can, but is there an 
> algorithm for such?  I find it cool that they(CS people) finally gave 
> a formal definition of Big O notation, little O, and Theta.  I was 
> always able to do them but never understood the workings behind them 
> or from where they derived other that intuition.  And where does this 
> constant C applied to Big O come from?  Is it assumed that  
> 10x^2=O(x^2)-->10x^2=O(c*x^2)?  Thanks, this was my favorite reading 
> so far, cool topic.
> -Harrison
>

From dshin@MIT.EDU Fri Oct 28 14:35:03 2005
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The derivation of Stirling's approximation is not really important.  
What's important is that you know that log(n!) = theta(n log n).  That 
is an extremely important relationship in computer science.

We will get to see the Integral Method in more detail.

DS

Chris Yang wrote:

> I did not really understand the derivation of Stirling's approximation 
> of the factorial - and I guess, to some extent, I did not really 
> understand the Integral Method.  I assume both of these things will be 
> covered in greater detail in class.
>
>  
>
> Thanks,
>
> Chris Yang
>

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The derivation of Stirling's approximation is not really important.&nbsp;
What's important is that you know that log(n!) = theta(n log n).&nbsp; That
is an extremely important relationship in computer science.<br>
<br>
We will get to see the Integral Method in more detail.<br>
<br>
DS<br>
<br>
Chris Yang wrote:
<blockquote cite="mid200510271958.j9RJwZ9a027373@outgoing.mit.edu"
 type="cite">
  <meta http-equiv="Content-Type" content="text/html; ">
  <meta name="Generator" content="Microsoft Word 11 (filtered medium)">
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 namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="place">
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  <p class="MsoNormal"><font face="Arial" size="2"><span
 style="font-size: 10pt; font-family: Arial;">I did not really
understand the derivation of <st1:place w:st="on">Stirling</st1:place>&#8217;s
approximation of the factorial &#8211;
and I guess, to some extent, I did not really understand the Integral
Method.&nbsp;
I assume both of these things will be covered in greater detail in
class.<o:p></o:p></span></font></p>
  <p class="MsoNormal"><font face="Arial" size="2"><span
 style="font-size: 10pt; font-family: Arial;"><o:p>&nbsp;</o:p></span></font></p>
  <p class="MsoNormal"><font face="Arial" size="2"><span
 style="font-size: 10pt; font-family: Arial;">Thanks,<o:p></o:p></span></font></p>
  <p class="MsoNormal"><font face="Arial" size="2"><span
 style="font-size: 10pt; font-family: Arial;">Chris Yang<o:p></o:p></span></font></p>
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Date: Fri, 28 Oct 2005 15:20:11 -0400
From: Shreyes Seshasai <shreyes@mit.edu>
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Subject: [Sayan] Week 8 Reading Comments
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Hey,

Sorry again for the lateness.

The part I'd like to see more discussed in lecture is the section on little
oh and big oh notation. From other classes I've learned the basics of big O
notation, but I'm confused about the difference between the two notations.
>From the wording on page 17, it seems as if big O notation is equivalent to
little oh , as Lemma 7.6 says If f =3D o(g) or f =18 g, then f =3D O(g).
Basically, my questions are when are the different notations used, and whic=
h
is preferred when discussing an asymptotic relation.

Thanks,
Shreyes

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Hey,<br>
<br>
Sorry again for the lateness.<br>
<br>
The part I'd like to see more discussed in lecture is the section on
little oh and big oh notation.&nbsp; From other classes I've learned
the basics of big O notation, but I'm confused about the difference
between the two notations.&nbsp; From the wording on page 17, it seems
as if big O notation is equivalent to little oh , as Lemma 7.6 says If
f =3D o(g) or f =18 g, then f =3D O(g). <br>
Basically, my questions are when are the different notations used, and
which is preferred when discussing an asymptotic relation.<br>
<br>
Thanks,<br>
Shreyes<br>

------=_Part_23774_32243744.1130527211568--

From mwangi@MIT.EDU Fri Oct 28 23:11:15 2005
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Subject: [Sayan] Week 7 Comments
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Passage:  5.6 ....And the Boys Live Especially Happily
Page:       14
I found this passage most surprising because it had seemed to me that the 
mating algorithm favored the girls since they were the ones choosing their 
suitors.

Sincerely,
Timothy M. Mwangi 


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Passage:  8.3 Fermat's Theorem
Page:       21
I found this passage most difficult because I did not understand the proof 
given of Fermat's Theorem.

Sincerely,
Timothy M. Mwangi 


From mwangi@MIT.EDU Fri Oct 28 23:37:47 2005
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Passage:  5.1 Euler's Formula
Page:       12
I found this passage most difficult because, although Euler's Formula is 
shown to be true by induction, I have  no intuitive understanding of why it 
is true.


Sincerely,
Timothy M. Mwangi 


From meyer@imap.theory.csail.mit.edu  Sat Oct 29 11:05:03 2005
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it's important to get this proof and the similar proof of Euler's thm 
straight.  I suggest you take it up in office hours with your TA.

regards, A.

Timothy Mwangi wrote:

> Passage:  8.3 Fermat's Theorem
> Page:       21
> I found this passage most difficult because I did not understand the 
> proof given of Fermat's Theorem.
>
> Sincerely,
> Timothy M. Mwangi



From meyer@imap.theory.csail.mit.edu  Sat Oct 29 11:10:16 2005
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I'm not sure what further intuition you're looking for; the only proof  
I've ever seen is essentially the one by induction in the notes.  
Sometimes seeing generalizations can help refine intuition, and Euler's 
formula does generalize to higher "genus" shapes beyond the plane -- 
like a torus.  But this would take you well beyond 6.042, and I would 
not recommend it unless you think you're independently interested in 
this field called "combinatorial topology."

regards, A.

Timothy Mwangi wrote:

> Passage:  5.1 Euler's Formula
> Page:       12
> I found this passage most difficult because, although Euler's Formula 
> is shown to be true by induction, I have  no intuitive understanding 
> of why it is true.
>
>
> Sincerely,
> Timothy M. Mwangi



From hmzhou@blackbird.csail.mit.edu Mon Oct 31 09:51:56 2005
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Well, you should look at the definition of big-oh and try to understand
it.  See me if it remains confusing.

4^x is O(4^x), O(4^x-2x), O(7^x), O(2^(x log x)), but certainly not
O(2^x) or O(x^c) for any constant c.

-Hanson

On Fri, 28 Oct 2005, Daniel A Gutierrez wrote:

> I just have a question concerning Big O, one of the problems discussed
> at the end is 4^x is not O(2^x), but it doesn't say what the Big-oh for
> it actually is.  Is the big-oh for 4^x just a number arbitrarily larger
> than 4 to the power of x? Daniel Gutierrez
>

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