Alright, here's a puzzle: given an nxn matrix A with coefficients randomly selected from {-m,...,m}, what is the probability that det(A) is in {-m,...,m}?
Can somebody help a tired old brain out. I have an integral of the form $\int^{a}_{0}\int^{x}_{0} f(y)dy dx$ and apparently I can change it to $\int^{a}_{0} \int^{a}_{y} f(y) dy dx$?? This is probably very trivial but I just can't seem to get my head in to it!!
O my dizzy days!! That is what I thought as well and the notes I am looking at just have it written down wrong! I think the person has just reversed the order of integration except forgot to actually change the order. Like they have changed the limits but not changed the order of integration. Does that sound righT? sorry I am having a slow day
@Silent It does require some familiarity with the abstract theory of polynomials
but the proof is fairly straightforward, and the result simply says that multiple roots are the same as shared roots between a polynomial and its derivative (and to find whether they have shared roots, you can find their gcd)
@Silent Prove that if $(x-a)^2$ divides $f(x)$ then $(x-a)$ divides $f'(x)$
By the way, note that we don't need calculus to define derivatives in $k[x]$. We just need to define the derivative of $\sum a_nx^n$ to be $\sum a_nnx^{n-1}$.
In fact, if we're working in a finite field like $\Bbb Z/p\Bbb Z$, it doesn't even make sense to define it with calculus and limits and things like that.
You should check that this definition still follows the product rule no matter what $k$ is (i.e. $(fg)'=f'g+fg'$).
(Also: if $k=\Bbb Z/p\Bbb Z$, then $(x^p)'=px^{p-1}=0$. So there can be nonconstant things with zero derivative.)
In a recent cross-validated post a comment was left by Dilip Sarwate that stated that the following double integral:
$$\int_0^L \int_0^L \rho(t-u)dudt$$
Could be simplified to the following single integral:
$$\int_{-L}^{L} \rho(s)(L-|s|)\,\mathrm ds$$
Where $\rho(t-u)$ is the correlation func...
Think of $\int_0^L\int_0^L$ as integrating over a square
Draw a plane where one axis is the $u$ axis and the other axis is the $t$ axis. You're integrating over the region where $t$ and $u$ both range from $0$ to $L$
Since you're integrating $\rho(t-u)$, it doesn't matter quite where on the square you are as much as how far away you are from the diagonal $u=t$ line
For any point in the square, we can draw the line of slope $1$ (parallel to the $u=t$ line) and see how much of that line lies in the square
and that's gonna depend on the absolute value of your distance away from the diagonal $u=t$ line
@Rumplestillskin You know what would be a more algebraic (but less geometric) way of doing this
Define $r=t+u$ and $s=t-u$
and do the change of variables
noting that $dudt=\frac12drds$ (using the Jacobian)
When I put $f(z)=\mathopen|z\mathclose|^2$ into wolfram alpha, it says that the function is nowhere differentiable in the complex plane. As far as I'm awared of, this function is differentiable at 0. What seems to be the problem here?
it outputs the derivative and then (assuming from reals to reals ) . In addition , nowhere differentiable in the complex plane. I believe it separates those two brackets
The Lorenz system is a system of ordinary differential equations first studied by Edward Lorenz. It is notable for having chaotic solutions for certain parameter values and initial conditions. In particular, the Lorenz attractor is a set of chaotic solutions of the Lorenz system which, when plotted, resemble a butterfly or figure eight.
== Overview ==
In 1963, Edward Lorenz developed a simplified mathematical model for atmospheric convection. The model is a system of three ordinary differential equations now known as the Lorenz equations:
...
I came up with the following question while formulating the properties for a certain statistical model I'm dealing with. I will refer to a random variable as being symmetric (about zero) if $X$ and $-X$ are identically distributed. I will moreover extend this to sets of random variables, i.e., a ...
Without the axiom of choice, you actually do get sets with equivalence relations that have more equivalence classes than elements, (admittedly from what I've just read).
I'm facing a problem with the density plot, for e.g
`ListDensityPlot[
Table[Sin[j^2 + i], {i, 0, Pi, 0.02}, {j, 0, Pi, 0.02}],
PlotLegends -> Automatic]`
Is there away to get large axes labels, with large ticks label?
Guys, I have a question. So we have irreducible polynomials $X^3+X+1,X^3+X^2+1\in\mathbb Z_2[X]$. Let $\alpha$ be a root of $X^3+X+1$, and $\beta$ a root of $X^3+X^2+1$. It’s easy to show that $\alpha^{-1}$ is a root of $X^3+X^2+1$, but I’m a bit confused on how to construct the isomorphism between $\mathbb Z_2(\alpha)$ and $\mathbb Z_2(\beta)$.
I would think that we would have to send $\alpha$ to $\alpha^{-1}$, since $\mathbb F_2(\alpha^{-1})$ and $\mathbb F_2(\beta)$ are isomorphic, because $\alpha^{-1}$ and $\beta$ are both roots of the same minimumpolynomial.
But I’m a bit stuck to finish this off. I know that $\{1,\alpha,\alpha^2\}$ is a basis for $\mathbb F_2(\alpha)$, and $\{1,\beta,\beta^2\}$ is a basis for $\mathbb F_2(\beta)$, and if we were to have an isomorphism, we would at least need a one-to-one correspondence between the basis elements. But yea, I’m not sure how to proceed exactly.
Oh, actually it makes more sense to send $\alpha$ to $\beta^{-1}$, because $\beta^{-1}$ in a way behaves the same as $\alpha$, since $a^{-1}$ is a root of $X^3+X^2+1$. Still a bit confused about the details of this, but alright
Oh, never mind, I was confused because I was confused about the fact that $\mathbb F_2(\alpha^{-1})$ is isomorphic to $\mathbb F_2(\beta)$, and not equal, but I get it now.
whenever i see someone answer their own question, i always think of this
a line of thinking comes along, spontaneously creates a question, and then this question annihilates itself, thus returning to the original line of thinking
a photon comes along and spontaneously decays into an electron-positron pair. this pair has equal and opposite charges, so it's possible for them to come back together and collide, annihilating each other to give a photon back
...or, at least, that's how you might understand that diagram. the tricky thing with feynman diagrams is that you don't actually think of electrons/positrons/photons as having a well-defined trajectory in QM
yeah, what justifies them isn't the visual story you get from them (which is good, because in a lot of cases that visual story wouldn't make much sense)
rather, it's that you can actually use those pictures to calculate things
for a flavor of it, suppose you expanded out the product $(x_1+x_2)^2=x_1^2+x_2^2+x_2 x_1+x_1 x_2$
you can 'visualize' those four terms in the following way: Put down two dots on the left, labelled as 1 and 2, and two dots on the right, labelled as 1 and 2 again
then draw a line from one dot on the left to one on the right
there's four ways to do that: 11, 12, 21,22
so that's a pictorial way of expressing that, and it'd work if I had $(x_1+x_2+....+x_n)^2$ instead
that's obviously a toy example, though. actual feynman diagrams are more complicated than that
@SirCumference It is consistent with $\mathsf{ZF}$ that $\Bbb R$ is a countable union of countable sets! It is also consistent with $\mathsf{ZF}$ that $\mathrm{cof}(\omega_1)=\omega$
If you have a poset $(P,\leq)$ a cofinal subset is just a subset $A$ such that for all $p\in P$ there is $a\in A$ with $p\leq a$. The cofinality of $P$ is the least cardinality of a cofinal subset
$\mathsf{ZFC}$ proves that $\mathrm{cof}(\aleph_\alpha)=\aleph_\alpha$ for all successor ordinals $\alpha$ (or in other words that successor cardinals are regular)
While formulating the properties for a certain statistical model I'm dealing with, I came up with the following question (with credit going to MikeEarnest in comments for the proper formulation). A random variable $X$ is symmetric (about zero) if $X$ and $-X$ are identically distributed. This in ...
Okay quick question: If I have three lines, L,M,N, in projective P^4 space, do I have that <<L,M>,N>=<L,M,N>? It seems to make sense, but my normal intuition has not yet been of use in projective geometry
MathJax formula blocks (i.e. $$these$$, not single-dollar-sign $inline$ mathjax) sometimes get wide, especially when they're arrays. Wide formulae don't play nicely with the responsive design though and instead overflow into the sidebar if the window is narrow enough.
Could MathJax formula...
The tangent to a circle is perpendicular to its radius. This means that, for a circle, dy/dx = −y/x Rearranging, we get: x dx + y dy = 0 Integrating and multiplying by 2, we get: x^2 + y^2 = C Since the point (r,0) in on a circle of radius r, we see that C=r^(2)+0^(2), so: x^2 + y^2 = r^2