Conversation started Sep 2, 2016 at 3:19.
Sep 2, 2016 03:19
@SirCumference @HDE226868 calling astronomy nerds!
why is this star brightness data measured in electrons/sec
Oh hey @0celo7
wait why did my picture change :O
magic.
i guess i'm reborn
@0celo7 did u mean me
@Obliv yes
uh physics 3 calc 3 and some shitty generals
Sep 2, 2016 03:26
yikes
i don't remember when i left this chat but wow i got lazy these last 2 weeks lol
didn't you get AP credit for generals?
whats that
a typo
oh but you still need a lot of them to graduate
Sep 2, 2016 03:27
Oh, I just had 3 gen eds left.
And two were because I was lazy and didn't take AP Eng 12
wtf
How many APs did you take
not many lol just 1 physics 1 calc and a CS
I took 11...
well that's where we differ
you were a super [s]nerd[/s] genius I was not
Sep 2, 2016 03:28
Super nerd implies studying
I didn't study
Also I'm not a nerd.
I can't code
n00b can't strikethrough
HALP
figure it out yourself
ah whatever
god these lab reports are going to take so long D:
@0celo7 so did ur school start up again
LOL
Sep 2, 2016 03:32
what...what are you
I think you need to get your eyes checked
@Obliv like 2 weeks ago
@Obliv yup
currently working on a project
u were doing some weird chemist stuff a few weeks ago right
something with lasers and cutting metals
For work
oh cool i wish i could work for someone this early on
Sep 2, 2016 03:34
I work at Starbucks
It's been 5 years since I started listening to hard dance, wow
such good music
yeah.. right. "ryan we're going to need you to cut these sheets of cerium"
How do you know my name
you're a celebrity
no I'm not you creep
I'll get my girlfriend to beat you up if you get too close
since you have the memory of a goldfish chat.stackexchange.com/…
Sep 2, 2016 03:37
what'a s goldfish
a goldfish is something that transforms like a goldfish
what's hard dance @0celo7
like what I linked above
lol wtf is this
DONE WITH HOMEWORK
isn't this hardstyle?
Sep 2, 2016 03:42
FOR LIKE TWO DAYS
nice now you can read about GR freak
hardstyle $\subset$ hard dance
seems like it'd be the other way around
no
@Obliv what's a good first order linear ODE
that's not $x=x'$
that's like the only one lol
good in what sense
Sep 2, 2016 03:45
I take it back
@Obliv that I can solve it and either (a) be disappointed (b) be very happy that I have a legit conjecture
$x'=tx$ isn't good either.
why not it's just $x = x^t + C$
ezy
...no it's not
no it's not
what is $x=x^t+C$ supposed to be
ok of course my conjecture is wrong
wait why isn't it what I said it was
isn't $t$ just a number
OMG I'M SO DUMB
I haven't done math in so long shit
Sep 2, 2016 03:52
well this makes my thingie much harder to prove.
Hmm.
Time to get out a GR book.
@0celo7 whatcha conjecturin'
@Obliv I'm looking at parallel transport on product manifolds
I think there's an elegant way of doing this
But I'm just turning it into an ODE problem
not very nice, but it seems to work
So I need some facts about ODEs
ooooh sounds interesting. what's a product manifold though?
look up Cartesian product
oh i thought there was some other definition of products for manifolds
just a set of ordered pairs between two sets right
Sep 2, 2016 04:00
well
In mathematics, a manifold is a topological space that locally resembles Euclidean space near each point. More precisely, each point of an n-dimensional manifold has a neighbourhood that is homeomorphic to the Euclidean space of dimension n. One-dimensional manifolds include lines and circles, but not figure eights (because they have crossing points which are not locally homeomorphic to Euclidean 1-space). Two-dimensional manifolds are also called surfaces. Examples include the plane, the sphere, and the torus, which can all be embedded (formed without self-intersections) in three dimensional real...
there is a technical condition on charts
but it's basically just a Cartesian product of charts
yeah if u click the link it scrolls down to it
Sep 2, 2016 04:18
@sanya :O how are you yesterday?!!lol
Sep 2, 2016 05:18
It would have been much easier if administration procedures have quantum like traits:
I recently have a very annoying scenario where a job application requires filling in two forms A and B
In order to fill in form A, I need to ensure the outcome of form B is sucessfully processed
however, in order to fill in form B, I need form A to be completed first
That is, In order to sucessfully get the job, I need to have $A \text{ and } B$, which means I need to show $B\rightarrow A$, which means I must show $A\rightarrow B$
Classically, the only solutions to this self referential bottleneck is either to forget about the job, or seek an alternate route that can bypass either $A\rightarrow B$ or $B \rightarrow A$
Quantum mechanics would have made this much easier. Given that recent arxiv saying that causality can be in superposition, I could have just assign the states of forms A and B into two qubits a and b respectively, and link them up as a to b or b to a. I then carry out a measurement at the very end. Then the probability distribution obtained by doing this 1000 times will ensure I have $A\rightarrow B$ and $B \rightarrow A$ done without first requiring either one to have done first
, because causality with no well defined order would have allowed me to complete B since I have completed A, but at the same time I have completed B because I already completely A, thus bypassing the order restriction of the bottleneck of this application
::Starting to wonder whether causality with no well defined order will provide a novel solution to the Liar Paradox...::
Sep 2, 2016 05:37
(Extension) Maybe I can actually implement this chores I am suffering from into an actual quantum experiment. Suppose I have 3 qubits: A,B and C. A is prepared in some known state $\lvert \psi\rangle$. B and C are initially undetermined. Now wired B and C in a way such that the resulting eigenstate of of B is determined by the eigenstate taken by C, and the eigenstate of C is determined by that of B.
Now place a measurement device M (maybe a polariser, a magnetic field, I am not sure) between A and C, and A and B respectively. Now wired the measurement device in a way such that whether C is being measured or B is being measured first is determined by the state A. Now prepare A in the superposition $\frac{1}{\sqrt{2}}(\lvert 1\rangle + \lvert 0\rangle)$, calculate the final probability of all possibel outcomes of B and C and (B and C).
::Above is an example of a quantum rant!::
Sep 2, 2016 06:34
Hey everybody, it's soapbox time:
This is why I don't like turning away questions to engineering sites.
That is all.
Sep 2, 2016 06:45
I just use them as distribution, whether it is the Dirac delta or it's distribution derivatives
You can define $\frac{d}{dx}\delta (x)$ via $\int_{\mathbb{R}}\delta (x)dx=-\frac{d}{dx}|_{x=0}$ or via the impulse function $u(x)$ where$\int_{\mathbb{R}}u(x)f(x) dx =\frac{df}{dx}(0)$
Sorry, impulse distribution
Having said that, it seems I don't understood distributions well enough else the following will not arise
1
Q: Convolution notations and some miscellanous convolution questions

SecretConvolution between distributions over the real number line, as it is mentioned in the optics course in my uni and also in wolfram is defined as: $$f(t) * g(t)=\int_{-\infty}^{\infty}f(\tau)g(t-\tau)d\tau$$ For convolutions, there's a nice theorem called Convolution Theorem which states for any...

Sep 2, 2016 07:34
damn gravatar craziness
I loved my old one
this one is more funky
user116211
This is too much ;(
Yuggib, you happened to be familiar with distributions in the rigorous way? Maybe you can help me on the above MSE question?
user116211
let me see
first of all, convolutions are only allowed between a distribution and a (smooth/rapidly decaying) function
and of course you can take just partial convolutions, but you have to be careful on what you then do
@yuggib and @0celo7 do you just spend all day on chat?
Sep 2, 2016 07:45
@SpaceOtter no, I "work"
me "too" ;)
Are you on apple?
Is there a symbol for partial convolution, or is $*$ conventionally used for convolution of all variables?
@SpaceOtter yes
So I bet you're excellent at swiping between windows when you see someone coming
@Secret if you write $\bigl(f*g(\cdot,y)\bigr)(x)$, it is quite clear that you're taking the convolution only in one variable for $g$ (and all for $f$)
Sep 2, 2016 07:48
I see
also, you can write (but I like it less) $f *_1 g$
@SpaceOtter yeah, I'm not bad
yeah, $*_1$ was what I originally have in mind in a similar fashion of partial derivatives
but usually the chat is by far not the worst window that I have open on my desktop while working
I think the bracket one is clearer * write in notebook *
Also regarding your comment about convolution, is a gaussian raidly decaying fast enough to satisfy the convolution criteria (and not blowing up as a result)?
@Secret yes
rapid decrease means that the function, when multiplied by an arbitrary power of the variable or arbitrarily differentiated is still bounded
Sep 2, 2016 07:54
ok
@SpaceOtter also, let's say that my work allows me a good amount of freedom in the administration of slacking off times
Oh? Like MMOs XD
ok that leaves one question ,which is that attempt proof of a special case of convolution theorem shown in Q2 of the MSE link. I often heard for physicists who are somewhat aware of the distribution nature of dirac delta that a distribution can never appear outside of an integral (although they might be not mathematically rigorous enough to work in notations of \rangleD,\psi\langle that is typical in the manipulation of distributions)

So I am guessing that I am missing an integral. However since in the convolution I already convolved wrt x and y, I don't know how it can be motivate to at a
@SpaceOtter well...I don't like them to much
$$e^{-x^2}*\delta(y)=\int_{-\infty}^{\infty}\int_{-\infty}^{\infty}e^{-x'^2}\delta(y-x'-y')dx'dy'$$
$$=\int_{-\infty}^{\infty}e^{-x'^2}\delta(x')dx'=e^{-0^2}=1$$
$$\color{red}{\neq e^{-x^2}\delta(y)}$$
Known: Special case of convolution theorem $k(x)*l(y)=k(x)l(y)$
Sep 2, 2016 07:59
the convolution with a distribution is calculated differently
also, you can only convolute two functions with an argument in common
Sep 2, 2016 08:18
Just btw>>> That's just me stirring s*** by asking christians to explain contradictions that they can't>
Sep 2, 2016 08:32
@yuggib, ok I have slightly modified the equation so that the convolution is well defined as it only act on common arguments x and y respectively. However I still encountered an issue.

Define 2D dirac delta, $\delta^2(x,y)=\delta(x)\delta(y)$. Then
$$(0e^{-y^2}+e^{-x^2})*\delta^2(x,y)=\int_{-\infty}^{\infty}\int_{-\infty}^{\infty}(0e^{-y'^2}+e^{-x'^2})\delta(x-x')\delta(y-y')dx'dy'$$
$$=\int_{-\infty}^{\infty}(0e^{-0^2}+e^{-x'^2})\delta(x-x')dx'=0e^{-0^2}+e^{-0^2}=1$$
$$\mathcal{F}(\delta^2(x,y))=1$$
That is, I am now basically convolving wrt x and y for two functions of x and y, but the result is still there. What is that formalism needed to calculate a convolution with a distribution?
your notation is unclear, and to see what a convolution with a distribution is you need to act on a test function
Pardon my physics background...
Let me try again with a test function...
But before we begin, I wan to know whether I am using the correct language in distribution theory here:

Given some test functions $\phi$, $\psi$ we know dirac delta at origin $\delta_0$ is defined by $\langle \delta_0, \psi\rangle =\psi (0)$

Therefore the 2D dirac delta at origin $\delta^{(2)}_0$ is defined by $\langle \delta^{(2)}_0, \phi\rangle =\phi (0,0)$
Sep 2, 2016 08:52
@Secret yes
and $\phi$ has to be of rapid decrease
ok (that won't be a problem for our specific case as $e^{-x^2} \in S$ where S is the set of $\psi$ is also rapidly decreasing)
Ok the next step I am not sure...
Now convolution between two distributions $f$ and $g$ are given by

$$(f*g)(x)=\langle f(t),g (x-t) \rangle$$
A bit of a long shot, but does anyone know of any papers that look at the Hamiltonian of two two-level systems coupled to some sort of waveguide? If we just look at the two-levels their Hamiltonian would be something like $$\omega_1 \sigma_{z,1}/2 + \omega_2 \sigma_{z,2}/2 + J_{12}\left(\sigma_{+,1}^\dagger\sigma_{-,2} + \sigma_{+,2}^\dagger \sigma_{-,1} \right)$$. When you then bring them on resonance, you get superradiant and subradiant states with respect to the waveguide
I'm just looking for an explicit calculation to show this, which means you have to introduce the continuous modes for the waveguide and do some transformation to get a drive, and then do another transformation to go to symmetric and antisymmetric modes.
@Secret no, there is no convolution between two distributions as I already said
given a distribution $T$, and a rapid decrease function $f$, then $(T*f)$ is the distribution that acts as follows on a test function:
$\langle T*f,\varphi\rangle= \langle T, \tilde{f}*\varphi\rangle$, where $\tilde{f}(x)=f(-x)$
so in fact you actually take the convolution only on rapid decrease functions
I'll let you calculate what $\delta * e^{-(\cdot)^2}$ is... ;-P
Sep 2, 2016 09:13
Where can you find your favorited questions?
Ok thank you. I was saving it for later
@SpaceOtter an excellent choice of favourited questions if I may say so :-)
@JohnRennie XD your wiki posts are what explained SR to me essentially. ::round of applause::
It's a long standing hobby horse of mine that using convoluted examples of light clocks is a silly way to teach students SR. Grasping that it's a geometrical theory described by the Minkowski metric is a much better way to understand it.
Sep 2, 2016 09:40
Agreed 👏
In that case, $\langle \delta * e^{-(\cdot)^2},\phi\rangle=\langle \delta , e^{-(-\cdot)^2}*\phi\rangle=\langle \delta,e^{-(\cdot)^2}*\phi\rangle=(e^{-(\cdot)^2}*\phi)(0)$ ?
$=\int_{\mathbb{R}}e^{-t^2}\phi(0-t)dt$?
So the effect of the distribution $\delta * e^{-(\cdot)^2}$ is it convolve a given function with a gaussian, and then evaluate the result at x=0?
Sep 2, 2016 09:57
@JohnRennie In the Rindler Metric in your post what is $x$ in the coefficient of c^2 dt^2? (the acceleration part in the brackets)
@Secret and that is equivalent to...?
Can't do that on my head, give me a pen worth of time to calculate it on paper
As I have written the Rindler metric the acceleration is along the $x$ axis. The coordinates used are those of the accelerating observer, so the observer's position is at $x=0$ (and $y=z=0$ but we usually ignore the $y$ and $z$ coordinates).
So $x>0$ means positions above the observer i.e. accelerating towards them along the $x$ axis. Likewise $x<0$ means positions below the observer i.e. accelerating away from them along the $x$ axis.
Ok I don't recognise any nonelementary function for that integral other than it is basically $-\langle e^{-(\cdot)^2},\phi\rangle=-\int_{\mathbb{R}}e^{-a^2}\phi(a)da$
Ok makes sense. It's position along the axis, (as usual) facepalm
It hadn't clicked that the direction of acceleration would mean nothing without knowing where the observer was relative to the moving twin
Sep 2, 2016 10:09
O wait, if I apply integration by parts I get...
$\int_{\mathbb{R}}e^{-t^2}\phi(-t)dt=[\sqrt{\pi}\phi(-t)]_{\mathbb{R}}-\int_{\ma‌​thbb{R}}\sqrt{\pi}\phi'(-t)dt=-\int_{\mathbb{R}}\sqrt{\pi}\phi'(a)da=0$
Still does not look right...
Sep 2, 2016 10:51
Qmechanic, what type of theoretical physicists are you, i.e. what field you worked in theoretical physics?
 
2 hours later…
Sep 2, 2016 12:32
@Secret he won't answer
Is no one concerned that Slereah has died?
@0celo7 That's one way CCD-plus-telescopes can measure brightness
@0celo7 What telescope exactly are you looking at?
More specifically, it measures signals from stars
Basically, there is only one source of signal from a star: the light of the star itself. If the star causes $n$ photons to strike the CCD chip during the exposure, and all of them knock free one electron, then the image should have $n$ electrons. That's the signal.
Sep 2, 2016 12:50
@SirCumference Kepler
Link to data?
On phone
Well it more than likely has a few charge coupled devices.
 
Conversation ended Sep 2, 2016 at 12:54.