@AkivaWeinberger My good dude I wanted to tell you I actually read about them and spend some time since we talked and did more exercises and now I have a very better understanding . :D
I have taken $p(x)=\text{$x$ is multiple of $4$}$ and $q(x)=\text{$x$ is multiple of $2$}$. Then for all $x$ it is true that $p(x)\to q(x)$, so negating that shows that ...??
or you can show that the inclusion only works the one direction and since 2 $\Rightarrow $ 3 but 3 does not go in the other direction it is also a good proof
@AkivaWeinberger yes, we want to show that $\neg(\forall x(p(x)\to q(x)))\not\equiv\exists x(p(x))\wedge\exists x(\neg(q(x)))$, or the same: $\exists x(p(x)\wedge\neg(q(x)))\not\equiv\exists x(p(x))\wedge\exists x(\neg(q(x)))$
@AkivaWeinberger well we can pick $x=4$ so $x$ is a multiple of $4$, and we can pick $x=3$ so $3$ is not even. "True and true" is true. So (2) is true, meanwhile (1) is false. Right?
I mean if I read "$\exists x(p(x))\wedge\exists x(\neg(q(x)))$" I can say "I want to replace $x$ by $m$. So I do the following: $\exists m(p(m))\wedge\exists m(\neg(q(m)))$". Why am I wrong?
@AkivaWeinberger well we can pick $x=4$ so $x$ is a multiple of $4$, and we can pick $x=3$ so $3$ is not even. "True and true" is true. So (2) is true, meanwhile (1) is false. Right?
For the same reason you could choose two different values of $x$ there^
@AkivaWeinberger yes it adds something important: if not I could say $x=y$ holds so I can always write $\exists x(p(x))\wedge\exists x(\neg(q(x)))$ or $\exists y(p(y))\wedge\exists y(\neg(q(y)))$ because $x=y$. But we don't want that, we want to say that $x$ can be different wrt $y$
Whenever you have a sentence that looks like $[\cdots]\land[\cdots]$ you can treat the parts independently
I should point out: while you're allowed to have the same name for the bound variables of multiple quantifiers, it's considered bad practice and should be avoided
because it's confusing
So working mathematicians will go out of their way to write things like that, usually, and try to make it clearer what they're actually trying to say
Now I want to prove that (1) i.e. $\neg(\forall x(p(x)\to q(x)))$ IS NOT equivalent to $\forall x(\neg p(x))\wedge\forall x(q(x))$
I don't think that the $p(x)$ and $q(x)$ that we have taken would be a counterxample for this exercise
I mean (1) is still false because for all $x$ if $x$ is multiple of $4$ then is multiple of $2$ is true, so the negation is false. But what about $\forall x(\neg p(x))$? Is it true or false?
I think "For all $x$, $\neg p(x)$" is sometimes true and sometimes false: take $x=8$, then it is false. Take $x=9$, then it is true
So $\forall x(\neg p(x))$ is always false, and false $\wedge$ something = False
So the counterexample of the multiples are wrong. What counterexample can we take?
Oh I think we can take: $p(x)=\text{$x$ is an integer}$ and $q(x)=\text{$x$ is a positive integer}$. Then for all $x$, $p(x)\to q(x)$ is false, because there exists an $-1$ where $p(-1)$ is true but $q(-1)$ is false. So the negation of that is always true
However, for all $x$, $\neg p(x)$ is always false. So false $\wedge$ something = false. Am I right?
Does showing $A\mathbf{x}=\mathbf{0}$ has a nontrivial solution mean showing that the kernel of $A$ has more than just the zero vector and the empty set in it?
Serre linear representations of finite groups, page $163$: Let $A$ be a ring, and let $\mathcal{F}$ be a category of left $A$-modules. The Grothendieck group of $\mathcal{F}$, denoted $K(\mathcal{F})$, is the abelian group defined by generators and relations as follows: Generators. A generator $[E]$ is associated with each $E\in\mathcal{F}$. Relations. The relation $[E]=[E']+[E'']$ is associated with each exact sequence: $$0\to E\to E'\to E''\to 0,$$ where $E,E',E"'\in\mathcal{F}$.
just to check, there is an error in the above right this isn't equivalent to taking the relation as $[E']=[E]…
@StanShunpike The emptyset is not going to be an element of most things you encounter, but it's a subset of every set
it won't be an element of any ring or field you've encountered ever probably
@StanShunpike I don't know probability theory. But I did say 'most things you encounter' admittedly this is false, since topologies contain the empty set
and sigma algebras contain the empty set
@StanShunpike Are events the things that you can measure with a probability measure?
@LeakyNun okay that's good. otherwise it seems to break everything
there should be an errata page for serre, but i couldn't find one
also, he writes that a discrete valuation of $K$ is a surjective homomorphism $v:K^*\to \Bbb Z$ such that $v(x+y)\geq \inf(v(x),v(y))$ for $x,y\in K^*$
Let A ⊆ N + and B ⊆ N + be nonempty sets of positive integers. Define A + B def = {a + b : a ∈ A, b ∈ B}. Show that A + B is finite if and only if both A and B are finite.
I guess I have to use well ordering principle
so A is finite then max element exist and B finite max element exist (say a1,b1) hence A+B has max element is a1+b1 and this will imply A+b is finite
@Thorgott huh, i'd read on an answer that the 2-norm was "special", in that it's equivalent to all other norms induced by the inner product. but i struggle to see why
looking up a proof for "all inner products induce euclidean norm" isn't getting any results
The Euclidean metric is special because it comes from what is called an inner product, and up to scaling it is the only metric that does so. This allows you to talk about angles between vectors in a sensible way, which you cannot do with other metrics.
So really we don't choose to use the Euclid...
does it mean that it's the only one that comes from an inner product, or specifically the dot product?
There are multiple inner products on $\mathbb{R}^n$. There is - up to scaling axes independently and orthogonal transformations - exactly one norm that gets induced by an inner product, which is the Euclidean norm. All norms on $\mathbb{R}^n$ are equivalent and induce the same Euclidean topology.
hmm, i'm just not sure how to follow the reasoning though. i've looked up "inner product induces euclidean metric" in a lot of different ways but found no results for a proof
If you know how your inner product is defined, calculate $\lVert x\rVert=\sqrt{\langle x,x\rangle}$ and then check that $\lVert x-y\rVert=|x-y|$, where the latter is the usual Euclidean metric.
Let $S$ be a directed set that is strictly increasing. Then the capping cardinal $\nu$ of $S$ is the smallest cardinal such that $S$ will repeat itself with some symmetry, within every interval $[\nu,\nu^+]$ defined recursively as $[\nu_{\alpha+1},\nu^+]^+ = [\nu_{\alpha},\nu^+]$
where ${}^+$ is understood to be a successor operation of cardinals defined by some large cardinal axiom $T$
@SirCumference as a comment points out, the post you linked seems to forget something. it is up to scaling of axes and up to orthogonal transformations
(The phrasing of “up to linear transformation” is a bit too strong since it’s not arbitrary C: it has to be PD. That’s where “up to scaling and orthogonal transformation” properly comes in)
"up to scaling and orthogonal transformation" comes from looking at it via the spectral theorem + the fact that the characteristic polynomial of a real symmetric matrix splits over $\mathbb{R}$
I'm not sure if there is an easy answer since they are characterized by their nature as bilinear forms. You can orthogonally diagonalize a PD matrix and get a diagonal matrix with only positive entries, but that might not be the best intuition
Being completely arbitrary is out of the question, since it is the inner product corresponding to the identity matrix, which certainly is not just any matrix.
Anonymous
14:28
Is the product of two involuntary matrices (like Householder transformations) necessarily of finite order? It would be helpful if someone knows a reference regarding this topic.
Can you guys tell me if the Latex in this answer renders correctly on your side ? With the renderer "HTML-CSS" and Chrome on macOS I get a lot of blank formulas
Show that for $\frak{g} = \frak{sl}_{n}(\Bbb{C})$, the Killing form is given by $K(x,y) = 2n tr(xy)$.
This is problem 5.2 in Kirillov's book on Lie Algebras. Recall that $K(x,y) = tr (\text{ad } x \text{ ad } y)$, where $\text{ad } x \text{ ad } y$ is a composition of two operators acting o...
Hello good people. Can someone help me proof the following ? I can not come up with a quick solution and your advice is welcome. Let $K$ be a real number then follows that $K.K = -K.-K$
@LeakyNun I'm literally only using the definition of the objects that are needed to define the question and easy linear algebra results such as $\mathrm{Tr}(AB)=\mathrm{Tr}(BA)$
In mathematics, a trace-class operator is a compact operator for which a trace may be defined, such that the trace is finite and independent of the choice of basis.
Trace-class operators are essentially the same as nuclear operators, though many authors reserve the term "trace-class operator" for the special case of nuclear operators on Hilbert spaces and reserve "nuclear operator" for usage in more general Banach spaces.
== Definition ==
A bounded linear operator A over a separable Hilbert space H is said to be in the trace class if for some (and hence all) orthonormal bases {ek}k of H, the sum...
$AB$ and $BA$ have the same characteristic polynomial. This is obvious when one of them is invertible. Using that, you can get the result for matrices whose entries are indeterminates and then evaluate to get the general case.
At which field of mathematics the definiteness of a function is discussed? Can you suggest a book? I've searched about it in Calculus but couldn't find a single topic about positive definiteness.