I have one confusion in the definition of adjoint: Suppose $V$ and $W$ are finite dimensional inner product spaces over field $F$. Let $T\in L(V,W)$ then $T^\ast: W\to V$ is defined as follows: For all $v$ in $V$ and for all $w$ in $W$, $\langle Tv, w\rangle=\langle v, T^\ast w\rangle $
My confusion is: I believe that the definition should be actually $\langle Tv, w\rangle_W=\langle v, T^\ast w\rangle_V $ to indicate that the inner product may be different in $V$ and $W$.
Ah, so my understanding is correct. Thanks a lot. :)
But then the problem is: adjoint should be defined with respect to inner products -I mean that if inner product in V changes then so will $T^\ast$. There is no reason to believe (so far with me) that $T^\ast$ will remain the same when the inner products change.
yes. but (outside of textbook problems, maybe?) it's fairly rare to consider all of these inputs as variable at the same time
this is reflected in the common notation $\langle \cdot, \cdot \rangle$ not explicitly denoting any particular choice of inner product. if you had more than one, you'd decorate this some how and you would need to decorate the * in T* too
I was thinking about matrix of a linear transformation $T\in L(V,W)$. We make it very clear while writing a matrix of $T$ that the matrix is w.r.t. bases B and C in V and W respectively. But it seems it's not the practice with adjoint.
they do in some textbooks. outside of that setting, if there is some orthonormal basis around, people generally do not make it very clear
again, just as context generally allows one to get away without writing $+_V$ and $+_W$, many people will talk about "the matrix of $T$" without naming the bases, let alone working it into a notation for the matrix.
especially, god help us, physicists.
they invented some of it so we have to indulge them.
it's very good to keep in mind as a matter of the theory of it all, but it melts away in practice. e.g. in many applications in hilbert space, one tends to work with orthonormal bases only, or if one has other bases floating around, one would not write matrices with respect to non-orthonormal bases.
nobody's annoyed by the fact that juxtaposition is used both for scalar multiplication (which can vary depending on the spaces) and composition of linear maps (same), but let's remind ourselves of that too. might need it on the first day of teaching it.
if you abstract beyond operators on hilbert space you will need to think about this again. e.g. if your set of 'operators' is just an algebra with an involution * on it, it might not be the one you expect it to be. same with norms, topologies, you name it. although there are various theorems to the effect that when you specify enough of the structure, the rest fills in uniquely.
@robjohn no i dont think there is any (x,y) where $f(x)\gt f(y)$ isnt satisfied when $x\gt y$...
but my textbook tends to consider the function as neither increasing nor decreasing when f'(x)=0 even for functions like $x^3$ which IMO is always increasing throughout the domain
@AdilMohammed "increasing" is really about $f$ at two separate points. One can look at "instantaneous increase" which means $f'(x)\gt0$. instantaneous increase at every point of an interval implies increasing, but not vice-versa.
Hi guys I have a pretty simple probability question/reference request if anyone could assist me. Consider the diffusion process $$dX(t)=dW(t), X(0)\sim \rho $$ where $W(t)$ is a 1-dimensional brownian motion. Let $\mu_t$ be its associated distribution at time $t$. Does anyone know if the LDP of $\mu_\epsilon$ has been studied i.e the behaviour of $\mu_\epsilon$ as $\epsilon\to 0$
Hey. According to the mean value theorem of integrationcalculus... can we say for a a riemann integrable function $ f $ that $\int_w f = \int_w f *1 $ since $g(x) = 1 \forall x $ is a monotonous function thus we conclude $ \int_w f = f(x_o) * vol (w)$ ?
Does anyone know the name of this identity involving the floor function? I'm fairly certain I saw it named on Wikipedia but can't find it right now. https://math.stackexchange.com/questions/1894725/proof-about-floor-function-lfloor-x-rfloor-lfloor-x-frac1n-rfloor-c
What is the necessary and sufficient condition of rigid body under multiple forces can have pure translation and pure rotation (1. rotation of free body 2. rotation about fixed point within the body 3. rotation when fixed point outside the body)?
Generally, movement of rigid bodies (degrees of freedom) is reduced to six degrees. 3 degrees of freedom for center of mass, three for the Angular momentum (a huge reduction from considering the degrees of freedom of each atom)
@MadSpaces In simple how can rigid undergo pure translation under the action of multiple forces , each force has different point of application on body.
The expression that I got for $Q(x)$ was $x^2-(b+c)x+b^2-bc+c^2$ through long division. Completing the square on $2Q(x)$ gives $2(x-\frac{b+c}{2})^2+\frac{3(b-c)^2}{2}$. The question states that $2Q(x)$ can be rewritten as the sum of three expressions, each of which is a perfect square. But as you can see there is only two perfect squares in my expression. Not sure what they want me to do
@MadSpaces Yes i learn't relativistic torque and mometum. But here moment and momentum are different . moment M = r x F ; where r is perpendicular distance through the line of action of force F.
Couple is basically a pair of forces attacking the body on two different points. consider for example a piece of paper you push one side with your left finger upwards and hte otherside with your right finger downwards
So basically to answer your question. If the body is not fixed to a point, IE it is free to move, then you will have translation aslong as the vektoriell sum of the forces is none Zero. The rotation occurs if the Torque (vector) is none zero.
You really need to take the vectors into consideration, not the scalars
However, i would suggest you writing in the physics chat room, this is for math only :)
Write to me in private. or write in physics stack exchange, there are very good guys there that are wiling to help, lets not upset the fine gentlement and ladies of this room. Mathematicians look down upon us peasents of physics
The Conway base 13 function is a function created by British mathematician John H. Conway as a counterexample to the converse of the intermediate value theorem. In other words, it is a function that satisfies a particular intermediate-value property—on any interval (a, b), the function f takes every value between f(a) and f(b)—but is not continuous.
== Purpose ==
The Conway base 13 function was created as part of a "produce" activity: in this case, the challenge was to produce a simple-to-understand function which takes on every real value in every interval, that is, it is an everywhere surjective...
I again have one confusion in definition of an adjoint of a linear transformation: Suppose that V and W are finite dimensional vector spaces. Let $T\in L(V,W)$ and $T^\ast$ be a map from W to V defined as $\langle Tv,w\rangle=\langle v, T^\ast\rangle$. Let me re-write it as: $\langle Tv,w\rangle_W=\langle v, T^\ast\rangle_V$. $T^\ast$ is known to be a linear transformation but I don't understand how this could be. Suppose that I want to verify its homogeneity that is for every scalar $c$,
koro, i may have mentioned this before. first verify that the recipe that purports to define T* actually does.
don't bother verifying properties until you know it defines a map. then use the uniqueness property (from that verification) to do everything else.
it would allow you, for example, to deduce from the fact that c T* w happens to be a vector u satisfying <Tv, cw> = <v, u> for all v, that T*(cw) = c T* w.
yes, we discussed this but then I misunderstood one step: if $\langle v,u\rangle=\langle v,z\rangle$ for all v then $u=z$ and I agree with that if and only if $\langle , \rangle$ on both sides is the same and this is so because I am allowed to write: $\langle v, u-z\rangle=0$ and since this holds for all v, in particular it does for v=u-z and norm of a vector is zero if and only if the vector is zero so u=z.
note that if you did dip into a proof of uniqueness here, it would exploit the equality of <v, c T* w> and <v, T*(cw)> for all v. same inner product there.
but again, just writing T*(cw) already seems to presume that uniqueness is known, when that's most of the exercise. this is a bad habit that is more or less taught by linear algebra books at all levels.
"let [bleh] be given by [some formula that bleh satisfies, without explicit verification that a linear map exists that satisfies this formula]. now prove stuff about [bleh]." there's a step 0 to any exercise phrased like this, which is to verify that you have a well-defined linear map.
this becomes particularly acute in infinite dimensional settings. people will define a map via an algebraic recipe on an orthonormal basis without checking that the result is bounded (and hence extends to vectors which are not finite sums of basis elements, which is necessary for the recipe to define a map on the whole space). sometimes that is harder than doing whatever else someone might want to know about such a map.
I would like to believe that and I think the way linearity of $T^\ast$ has been proven text makes me want to believe that inner product is the same. But I'am confused. For uniqueness, I have Riesz representation theorem and I understand that: given a w in W, suppose $f$ takes $v$ in V to $\langle Tv,w\rangle$ where $T\in L(V,W)$ and I think that this linear product is w.r.t. inner product in W. Then $f$ is a linear function on V.
Slow down, @Koro. You want to prove that $T^*w$ is uniquely defined by that equation (for all $v$). If $\langle v,\xi\rangle = \langle v,\eta\rangle$ for all $v$, then $\xi=\eta$. This is all happening in $V$.
By Riesz representation theorem, there exists a q in V such that $f(v)=\langle v, q\rangle$ for all v. Here, I think that inner product is with respect to inner product in V.
thorgott: there was a guy in my field who was notorious for doing this. he would suggest 'simplifications' of proofs via email. he even published some of his simplifications in weird journals. everybody knew not to cite them but they kept coming out.
Ted, the definition I am using for adjoint is: For every v and w in V and W resp. $\langle Tv,w\rangle=\langle v, T^\ast w\rangle$
Then Axler says: this definition makes sense because of what I said above in the comments.
@TedShifrin And using this definition: I have difficulty proving this statement that you wrote because the definition seems to suggest that inner product on both sides of the equality may be different. And the difficulty arises because had it been as you suggest then $\langle v,u\rangle=0$ for all u in V for a fixed v would imply v=0 (I know this.). I hope my question is clear now.
koro, when you want to show the properties of T*, you would be computing <v, -> for two different elements of V. e.g. putting T* (a+b) and T* a + T* b in for - and comparing the results. you might travel through the inner product of W and properties of the inner product to equate them, but that's what you end up doing.
i'm not a huge fan of the phrase 'overthinking a problem' but this might be a good example of that.
<v, T* (a+b)>_V = <Tv, a + b>_W = <Tv, a>_W + <Tv, b>_W = <v, T* a>_V + <v, T* b>_V = <v, T* a + T* b>_V. by definition of T*, linearity of < , >_W, definition of T*, and linearity of < , >_V. that holds for all v so T* (a + b) = T* a + T* b by uniqueness. can you prove that T* (c a) = c T* a along similar lines?
@leslietownes of course yes!! It's clear to me now. All this time, I was overthinking $\langle Tv,w\rangle_W=\langle v, T^\ast\rangle_V$ (why V on one side and W on the other) completely overlooking the fact that you wrote.
he defines the length of curves in some space using an arc length formula (the metric is some other ingredient in the paper )and a distance between points as an infimum over lengths of paths between those points.
he then says d "is the natural geodesic distance," by which i mean i think he just means d is an instance of a general thing you see in riemannian manifolds where length minimizing curves are geodesics, at least locally.
daniel if i'm not missing something, from his hypotheses on the a_ij (not in that image), your a_ijs define a riemannian metric on the space (i.e. a way of computing lengths of tangent vectors) and this is the usual recipe for turning that into a metric on the space (i.e. a way of computing distances between points).
i'm looking mostly at assumption (A) on the bottom of 659.
Yeah, this is the standard definition of a metric space structure on a Riemannian manifold. You can read about it in any standard differential geometry book. As something accessible, I recommend Boothby.
What do you mean by "with respect to what?" You're asking about the word "natural"? It's because it is naturally associated to the Riemannian metric structure, which gives you lengths of paths.
@TedShifrin @leslietownes right thanks for the reference, I guess I was just confused since he starts with the heat equation pictured above, on flat $\mathbb{R}^k$, and now your talking about manifolds, and a metric induced from a manifold
@TedShifrin sure hes using a non-standard metric structure, based on the equation he is solving, I just wondered why this specific one is the right choice.
It all depends on the definition of $a$, of course. You can solve the heat equation on any Riemannian manifold. The Laplacian depends on the Riemannian metric.
I have no idea why they're writing $a^{-1}$. As I indicated above, we ordinarily write the metric as $g$. One can try to do Riemannian geometry without positive definiteness (e.g., relativity). I don't know what happens with degeneracy (non-invertibility), though.
When I studied DeRham cohomology, the coefficients came from the Reals. I got the impression from some comments from the instructor that having a (co)homology theory with real coefficients is less desirable than one where the coefficients are only integers. I know a bit more now about singular and simplicial homology theories where its pretty clear that the "obvious" coefficient are in Z. Is there a short, consensus reason why one would prefer theories with Z coefficients to those with R?
@Daniel I know nothing about the $a$ appearing in your formula, but in Riemannian geometry one has what's called a normal neighborhood of any point given by following geodesics emanating from the point. For a sufficiently small radius, there's a uniqueness result that any two points in there are joined by a unique (shortest) geodesic.
I thought there may be some relation to two points $x,y$ being close in this metric, and the solution of the above heat equation at $x$ given it started (dirac mass at $y$), but I guess that doesnt make sense since the metric has no relation to time.
The confusion is how the heat equation is giving rise to motion of the manifold.
I guess in $\Bbb R^k$ we're supposed to have $p$ as the position vector of a point? A LOT of work has been done on the heat equation on manifolds and using it to prove various sophisticated topological theorems. See the work of Peter Gilkey, for example.
I do not remember what I once knew about this stuff many years ago.
Yeah, David is a known a**hole, but the other guy wasn't known to me. And, after my comment, of course he had to escalate. I wish I could look him up on RateMyProfessor.
I suppose some people might find some of my strident comments on this site equally repugnant.