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12:02 AM
Hi
 
my students always wanted homework to be worth as much as possible in determining the grade. past a point, however (the point being roughly "if it isn't worth enough, people won't do it"), i don't recall the percentage contribution having any appreciable effect on student incentives, or on outcomes.
 
In most of my courses it was around 35% …
 
Homework grades were taken into account for those on the border between two grades, no?
 
Different teachers grade very differently.
 
True true.
 
12:08 AM
Different levels, different types of courses.
I think in most of Europe homework is not graded and exams are once every year or two. Most American students would die in that system .
 
Not vice versa? They would die in the American system.
 
Much more mature and disciplined. I prefer our system, but I disagree. They might be bored in most US schools.
 
Ok, die of boredom :-)
With no all or nothing exam at stake at the end.
 
12:39 AM
Don't get irritated Ted, but I'm trying to put together the understanding of what you said with regards to why the coefficient of $y$ is nonzero. So I related things to the Vandermonde matrix I posted above with the $c_i$ terms. In that one since the $c_i$ are all distinct, reducing it to echelon form all my terms will be of some form of $c_j - c_i$ with a and since all the $c_i$ are distinct, none of these will be zero so I can reduce the matrix to a reduced echelon form albeit the reduction will be messy but it can be done. Which means the nullspace will only be the zero vector.
@TedShifrin
 
You expanded the determinant along the first column. That’s where all these interesting $3\times 3$ determinants came from.
 
Ok..Yes....So doing that, my determinant for the $y$ coefficient will only involve $x_i$ values and as just noted again since these $x_i$ are all different I can't get a determinant of $0$ in this specific $3 \times 3$ matrix.
I really fudged up thinking this through....
That's why my $y$ coefficient won't be $0$
I could use this same sort of reasoning to understand why the $x^2$ term will be nonzero as well
 
12:54 AM
That’s the Vandermonde determinant. No, the other determinant is quite different.
Show that matrix is singular iff the three points are collinear.
 
Ok. I'm going to do this now while I go and eat. I do see one flaw in what I did was not isolating the individual determinants to explain them.
 
1:39 AM
Proving that: "if the matrix is singular, then the three points are collinear":

First we reduce the matrix:

$$\begin{pmatrix}
1 & 1 & 1 \\
x_1 & x_2 & x_3 \\
y_1 & y_2 & y_3
\end{pmatrix}
\Rightarrow
\begin{pmatrix}
1 & 0 & 0 \\
x_1 & x_2-x_1 & x_3-x_1 \\
y_1 & y_2 - y_1 & y_3 - y_1
\end{pmatrix}
$$
If our matrix is singular, then this means that $\det(M) = 0$. This means that one column is a scalar multiple of another column. By the transformed matrix this means that the last two columns are parallel iff $P_1P_2 || P_1P_3$. But this can only be the case iff the three points are collinear.
@TedShifrin
 
You keep asserting the same wrong crap about determinants. Forget manipulations. What does singularity mean from the viewpoint of linear equations?
 
@TedShifrin I thought any composite number can be a counterexample. Something's wrong...
 
from the view of linear equations in terms of matrices it means the rank of the matrix is less than the number of columns $n$
for a given $n \times n$ matrix
 
Come on. That’s not about linear equations.
 
1:55 AM
The only other notion of singularity coming to mind is the notion form analysis. So the point where the object is not defined or doesn't exist.
 
I'll ask my professor about the problem.
 
In terms of linear equations after reviewing it means that there is a non-trivial solution to the system of equations from $Ax = 0$.
 
@TedShifrin You think my counterexample is wrong or what? Is there somewhere I'm misunderstanding the situation?
The problem statement itself is: If $R$ is UFD and $a\in R\setminus\{0\}$ then there exists a unique maximal ideal $\mathfrak{m}$ of $R$ such that $R/(a)\simeq R/\mathfrak{m}$ as an $R$-module.
 
 
2 hours later…
3:51 AM
@D.C.theIII Right. Use this.
 
Yea I'm using it, just got caught up watching this boxing fight
I'll report back tomorrow probably....also with tears because there is no reason this should've taken this long.
 
@onepotatotwopotato Clearly false.
 
Yeah, I e-mailed my professor 2h ago. Maybe it's a typo.
 
also after rewatching the video you specifically said to make sure to that singualrity and invertibility are two different things
 
4:12 AM
Nonsingularity and invertibility are equivalent by theorem, but I wanted the students to know the definitions.
 
4:46 AM
@TedShifrin Fonda's on Solano:-)
 
5:38 AM
If $M$ is an $R$-algebra ($R$ is a commutative unital ring) and $S$ is a commutative unital $R$-algebra then $S\otimes_RM$ has an $S$-algebra structure?
I know it is $S$-module and commutative unital ring but don't need to care about some kind of compatibility?
It has $S$-algebra structure.
 
6:26 AM
0
Q: Every collection of non trivial intervals is a countable subcollection of the collection.

KoroLet $\scr A$ be a collection of non trivial intervals (i.e., an interval with at least two points) in $R$. Then, it is to be proven that there exists a countable subset $A\subset \scr A$ such that $\bigcup_{I\in \scr A} I= \bigcup_{I\in A} I$, where $I\in \scr A$. I tried to prove it the followin...

 
 
2 hours later…
8:41 AM
if (X1, Y1) and (X2, Y2) are indepedent random vectors, is it true that X1 and X2 are independent and Y1 and Y2 are independent?
 
5
Q: Intuition on Independence of Random Vectors

Supreeth NarasimhaswamyIntuitively, two random variables $X$ and $Y$ are independent if knowing the value of one of the random variable provides zero information about the other. The same holds true for two random vectors $\mathbf{X}=(X_1,X_2,\cdots, X_m), \mathbf{Y}=(Y_1,Y_2,\cdots, Y_n)$. But does it also mean that $...

 
 
1 hour later…
9:55 AM
Professor says to think of $\Bbb C[x]$... I don't know what he's trying to say. He thinks the statement is correct. Hmm
 
 
1 hour later…
10:56 AM
What is (1)^(infinity) equal to? wolframalpha.com/input?i=%281%29%5E%28infinity%29
 
11:07 AM
here is my take.
 
11:29 AM
I'm struggling understanding the proof of Theorem 3.54 in Rudin's book. I still do not understand why $\beta_1>0$ is a necessary condition. What does it ensure? If anyone would be so kind to explain, I'd be very grateful.
 
@schn The OP claims we can even allow $\beta_1=0$, but I disagree.
 
11:54 AM
If $\beta_1=0$, then I guess the LHS of $P_1 + \cdots + P_{m_1} > \beta_1$ would simply be $P_1$, since $P_i>0$ by definition. Then $m_1=1$ and $|x_1-\beta_1|=P_1\le P_{m_1}$ would hold, so $\beta_1=0$ is probably possible after all.
 
 
5 hours later…
5:19 PM
I am curious, if it is the case that $\vdash \mathscr C_1 \lor \mathscr C_2$ but not $\vdash \mathscr C_1$ and not $\vdash \mathscr C_2$, does it always mean that one formula is a negation of the another?
 
5:54 PM
@noballpointpen Let the first formula be $x \lor y$ and the second $x \lor \lnot y$.
 
Makes sense. Thanks.
 
i drew up a truth table that satisfies the formula assertions (you need at least 3 entries), added a 4th and then figured out what the formula must be for each.
 
6:22 PM
What is the enclosed volume of my gravatar?
 
6:47 PM
depends on how it is defined
 
7:12 PM
@copper.hat may we then further argue that these formulas being disjuncted introduce a subformula of the form $p \lor \neg p$? For the ease of the question, we assume the formulas do not have conditional connectives. I am solving a question where this property seems to be a key to the answer.
A "counterexample" I found would be $(x \land \neg x) \lor \neg (y \land \neg y)$, but the second disjunct is equivalent to $y \lor \neg y$.
Oh, nvm, it's not a "counterexample". We can derive the second :) Does not meet our conditions.
Seems like your formula would work as that proposed "counterexample" if we negate each disjunct.
Or not... hm...
No it won't, of course not.
 
7:34 PM
Let $(X, S, \mu)$ be a measure space. Let $A_1,A_2,...,A_k$ be an S- partition P of X: this means that $Ai$'s are elements of the sigma algebra S and that $\bigcup{1\le i\le k} Ai=X$. Let $f:X\to [0,\infty]$ be S-measurable. Lower Lebesgue sum is defined as $L(f, P)=\sum_{j=1}^k \inf_{x\in A_j} f(x)\mu (A_j)$. Then, $\int f , d\mu := \sup \{L(f,P): P$ is an $S-$ partition of $X$}
With this definition of integral, how can I show that the counting measure on $Z^+$ is the summation?
(i.e., if $(b_n)$ is a sequence of non negative integers and $b: Z^+\to [0,\infty]: n\mapsto b_n$, then $\int b \,dc=\sum_n b_n$, where c is the counting measure.)
It is not known yet that $\int (f+g) d\mu= \int f +\int g$.
 
8:31 PM
nvm, I think I figured it out.
:-)
 
:-)
 
@Koro, are you pursuing a Ph.D.?
 
@geocalc33 $\pi$, of course.
 
8:52 PM
Seems like my claim can be shown to be false with $[p \land q \land \neg r] \lor [(p \land \neg q) \lor \neg p \lor r]$. The formulas in square parentheses are not derivable, the whole formula is derivable, but no subformula of the form $p \lor \neg p$ here.
 
9:36 PM
0
Q: When is a solution $P(f'(x)) = Q(f(x))$ periodic or double periodic?

mickConsider the differential equation $$P(f '(x)) = Q(f(x))$$ Where $P(x),Q(x)$ are polynomials. Examples are $f'(x) = 1 + f(x)^2$ where we get a tan solution and $f'(x)^2 = 4 f(x)^3 - g_2 f(x) - g_3$ where we get a Weierstrass elliptic function solution. One of them is periodic , the other double p...

got this on my mind today
 
Big wall of text incoming......................
I went back and did exercises in Sec 4.1 that you didn't assign. Specifically #23 which was to establish the claim of three points $P_1, P_2, P_3$ are collinear iff the equation $Ax = 0$ has a nontrivial solution (i.e the matrix $A$ is singular).

First suppose that matrix $A$ is singular where matrix $A$ represents the coefficients from the equation of the line $c + ax + by = 0$:

$$\begin{pmatrix}
1 & x_1 & y_1 \\
1 & x_2 & y_2 \\
1 & x_3 & y_3
\end{pmatrix}
\begin{pmatrix}
c \\
a \\
b
\end{pmatrix}$$
Eliminating the first column of $1$'s:

$$
\begin{pmatrix}
1 & x_1 & y_1 \\
0 & x_2 - x_1 & y_2 - y_1 \\
0 & x_3 - x_1 & y_3 - y_1
\end{pmatrix}
$$

Observe as this is the equation of the line and we assumed the system was singular, $a$ and $b$ are not both $0$. Without a loss of generality suppose $a \neq 0$. Also by singularity row 3 has to be a multiple of row 2. Transposing this reduced matrix we can see that the coordinate vectors of column 2 and column 3 would be parallel, which implies collinearity.
$$\begin{pmatrix}
1 & x_1 & y_1 \\
1 & x_2 & y_2 \\
1 & x_3 & y_3
\end{pmatrix}

$$

Row reducing again as before:

$$
\begin{pmatrix}
1 & x_1 & y_1 \\
0 & x_2 - x_1 & y_2 - y_1 \\
0 & x_3 - x_1 & y_3 - y_1
\end{pmatrix}
$$

But this time we assumed the points are collinear so row 2 in terms of coordinates would be a scalar multiple of row 3. This means we would have a row of zeros in our matrix:
$$
\begin{pmatrix}
1 & x_1 & y_1 \\
0 & x_2 - x_1 & y_2 - y_1 \\
0 & 0 & 0
\end{pmatrix}
$$

This implies that we will have a non-trivial solution to the linear system $Ax = 0$. Which means $A$ is singular.


Back to the original issue which was validating why the coefficient for the $x^2$ term is not zero. The three points used in the parabola are distinct and not collinear. This means the matrix we have set up for $C_{3,1}$ will be nonsingular by what we just proved. Since this matrix is nonsingular, then $\det(C_{3,1}) \neq 0$. And this is why the $x^2$ coefficient is not zero.
@TedShifrin I believe this is how you want it reasoned out. No rush whenever you are free
If you are willing to read through it as well
 
You have got to get past this tendency to be mechanical rather than conceptual. If $Ax=0$ has a nontrivial solution $(a,b,c)$, this means the points all lie on the line $a+bx+cy=0$. Done.
Oh, maybe I need $A^\top$ there.
Wait. You started with this. You’re done. Why all the computing?
 
I do "kinda" get what you mean by me having a tendency to be more mechanical. But can you expound on it a bit because. I'm aware I tend to do this but getting out of that habit is harder than I expect
I was trying to be through
perhaps it is practicing applying the ideas.
 
No. We know nonsingularity is equivalent to only the trivial solution of $Ax=0$.
Row reduction is not needed.
 
Ok. Got what you mean
Time to write a reflection on this question for the trouble it caused, then to the putnam question.
 
9:54 PM
Reflection across what plane? 🤷‍♂️
 
The plane of enlightenment
also a caccio e pepe break with mucho caccio
 
Mixing Spanish and Italian?
 
I could've not been lazy and actually looked for the right word in Italian, but I let my knowledge of the romance languages guide me even though I knew it was incorrect.... 🤷🏿‍♂️
 
10:23 PM
I guess if $\vdash \mathscr C_1 \lor \mathscr C_2$, not $\vdash \mathscr C_1$ and not $\vdash \mathscr C_2$, then we must have $\mathscr C_1 \lor \mathscr C_2$ to be an instance of a tautology... hm... Holds with the completeness theorem, but I do not assume it here.
Ah, it's the soundness theorem. And I have it... then... hm...
Nvm, just thinking.
 
11:04 PM
For p1, why (100×100×20)/(100×100×100) doesn't work?
 
@D.C.theIII Molto
 
Makes sense. And I should've recognized that with all the Italian Soccer I watch.
 
@Wolgwang Because you are counting ordered selections rather than subsets
 
Since you're here I did have two questions: One went back to computing the integral over the region bounded by $y + x^2 = 0, x-y = 2, x^2 -2x + 4y = 0, x\geq 0$..... What was the motivation for/ how did you know to choose $x = u + v$ and $y = v - u^2$?
 
Oy, that infernal problem.
 
11:13 PM
The second question was with the problem I just did. Where does the idea of expressing the equation of the parabola as a determinant come up. Why did we do this?
 
I made this up back in 1974 or so. I think I started with the mapping and a region and saw what I ended up with in the $xy$-plane.
Start with the lines and planes and then say to yourself, “Self, generalize.”
It shows up with any number of algebraic hypersurfaces. Take a basis for the monomials you’re working with.
 
I'll ponder and generalize.
 
11:51 PM
@TedShifrin Oh!
So will this work:
$3×\dfrac{(100×100×20)}{(100×100×100)}+3×\dfrac{(100×20×20)}{(100×100×100)}+\dfrac{(20×20×20)}{(100×100×100)}$
 
You are overcounting everywhere!
 
:(
The solution first finds complementary probability (80×80×80)/(100×100×100). I can't see how to find without it.
 
That is the easy way to do it.
 

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