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Hi, given a vector and point in R^2, how do we find the moment of the vector about the point? e.g say we have the vector <3,1> at position (-2,5), and we want to find its moment about the origin.
Hi, I'm looking for a good introduction to existence and uniqueness of ordinary differential equations. Whenever I search for anything I get some really advanced looking stuff packed with topology and stuff. Is there anything a bit more basic that explains the ideas well without assuming too much prior knowledge?
In fact can someone also tell me what the essential prerequisites actually are for learning about this?
My engineering course doesn't touch on existence and uniqueness, but it's something I'd like to pick up on my own.
Thanks
Ah of course, thanks.
I've forgotten the derivatives of these functions, and this page gives the derivatives:
http://www.analyzemath.com/calculus/Differentiation/inverse_trigonometric.html
but when I tried to derive them myself I got different answers. What am I doing wrong?
arccsc:
arcsec:
arccot:
Thanks
Recently I keep seeing this symbol used everywhere, :=, and at first I thought it was a typo, but I've seen it numerous times in different texts. What's the difference between this and the simple equals sign?
when we have a 1st order differential equation,
and solve it via direct integration, why do use a definite integral,
instead of just an indefinite integration like so?
Thanks alot thats a great help.
Thanks, that gives me a better idea.
There is something in topology called Reimannian manifolds which are manifolds that allow you to measure distances and angles:
http://en.wikipedia.org/wiki/Riemannian_manifolds
or take a look at manifolds in general:
http://en.wikipedia.org/wiki/Manifold
Hi, this is a quick question about tensors. From what I've read a simple way to interpert dyads (2nd order tensors) is this: Suppose you have a vector H. By muliplying this vector by a scalar, a, we get a new vector V whose magnitude changes but whose direction remains the same:
If instead of the scalar, we use an order two tensor (a dyad),
we get a new vector U whose magnitude and direction is changed:There are some special matrices that do similar things, for example for
the rotation matrix is given by:which when muliplied by H gives a new vector equal in magnitude but rotated by
. I'm sure similar matrices can be made which also change the magnitude.What I'm wondering is if purely abstractly dyads are simply matrices (2 dimensional arrays of numbers) and nth order tensors are simply n dimensional arrays of numbers. To me it seems like they're exactly the same thing, and while they're classified differently, I'm not sure if this is simply because of the specific application of tensors to vector transfomations, or whether there is some other more important difference I'm missing.
Can someone clear this up?
Thanks
Hi, I've got another question now regarding kurwatowskis theorem. I need to prove:
It seems like it should be so obvious, but I'm having trouble writing a meaningful proof for it, without actually just replacing a with u and b with v.
I'm given the hint that I need to consider the two cases where a=b and
My thoughts are that these cases are:
since a=u and b=v,
I feel like I'm making a mess of it, please help!
Ok I get it now. my reasoning doesn't work since
and I see what you were saying.Thanks
Yes I know that, but since {a} is a set and {{a},{a,b}} is a set, and since a is an element of a set, I would have thought I used the relations correctly.
P.S. keep your hair on jane!
Thanks for your replies, what you've said is initially what I thought, in which case I would have go them all, but then I changed my mind because of this reasoning:
I have this question:
Let (a,b) denote {{a},{a,b}} then which of the following are true:
a.)
TRUEb.)
FALSEc.)
TRUEd.)
TRUEe.)
FALSEf.)
FALSEI'm not sure I understand the theorem, but I think my answers are right. Can someone check?
Thanks, at least I'm aware of them now for the future.
btw theres an easy algorithm for finding the maximum or minimum of a set of numbers (array) e.g. the minimum:
Declare variable.
initialize variable as first element of array.
Loop through array element by element {
if (current array element is less than variable) {
set variable equal to current element.
}
}
return variable
Onyx wrote:Thanks, those formulas are indeed useful, since it's cleared the ambiguity I had with min{} and max{} in the text I'm reading. Cheers
That makes me worry a little because there shouldn't be any ambiguity, even if you don't see them defined by formulas. It is just a function that chooses the largest or smallest out of the set (in this case, set of two) of numbers. Where is the ambiguity?
The ambiguity was in the fact that although max{} and min{} are self explanatory, the text I was reading kept referencing them to to the formulas Jane provided without explicity stating the equalities, and after finding nothing online I wanted to make sure I wasn't missing something important. You know what they say about asumption being the mother of all **** ups
Thanks, those formulas are indeed useful, since it's cleared the ambiguity I had with min{} and max{} in the text I'm reading. Cheers
Hi, you have a function f, taking a single argument, n, and returning a number r, so f(n)=r.
The main problem is the for loop. within the loop you could consider a seperate function:
This reasoning is ok in c, where we write for example r=r+1; to mean take the value stored in the memory location of r, add 1 to it, and save the new value in the original memory location, but writing the equality r=r+1 in mathematics cannot be true for any
.Also while loops can be used to calculate finite series using
and and can be readily compared in these cases, something like what you have is not so easy to compare. Usually it's a case of knowing the maths before implementing it as code, rather than trying to extrapolate mathematical expressions from the code.Hi, I've came across these functions and they seam pretty self explanatory, so I feel a little stupid asking this question, but I want to make sure I understand them right.
Does:
and:
Is that all it is?
Hi, I think there is two similar limits that equal e. There is one that is used to describe compound interest:
and there is another one, which I got from this link http://www.mathcentre.ac.uk/students.php/all_subjects/differentiation/first_principles/resources/322 which is:
I don't think you can simply substitute t=0 to get the limit as 1, since the denominator of the exponent becomes zero, so...
...is undefined. If you put in values closer and closer to 0 for x, then you will see the limit gets closer and closer to e.
Ricky, to answer your question, I'm an engineering student, and while I've done calculus and multivariable calculus before, I've forgotten how to differentiate the exponential function from first principles (I never need to do this, it's just a matter of interest), and have never really covered analysis in much depth. I know there are multiple definitions for the exponential function, and I've always considered "the function whose value equals its derivative for all x" to be the 'main' definition, so if you could show me how this limit is equivalent to that or the other limit I gave I would appreciate it.
Also I remember a derivation where the series (Taylor series?) you mentioned can be derived purely from knowing that:
and:
Where somehow my lecturer obtained a series for the function and repeatedly differentiated it. If you know what I'm talking about could you show me that too?
Thanks alot
Hi can someone please show me how this limit exists? I haven't been able to find anything useful online for it.