Jacobian: how to change limits of integration?

In summary: Yes, so by looking at the ratio ##v/u##, this will only result in values in ##[0, \infty[##, so ##\frac{1}{1 + \frac{v}{u}}## can only take values in ##[0, \infty[##.
  • #1
fatpotato
Homework Statement
Find the new region of integration under a given change of variables.
Relevant Equations
Jacobian matrix and determinant
Hello,

I have to compute a double integral of the form ## \int_{0}^{\infty} \int_{0}^{\infty} f(u,v) du dv##, where ##f(u,v)## is not relevant. The following change of variable is advised as a hint: ## u = zt ## and ## v = z(1-t)##.

From there, I can reformulate with respect to ##z## and ##t##: ##z = u+v##, ## t = \frac{u}{u+v} ##, but I am absolutely unable to find the limit of integrations of the new region, or to find someone that can clearly explain to me how to find the new bounds.

Sure, I can guess that the new region for ##z## is ##[0, \infty[##, but how would one find the new region for ##t##? Presence of both ##u## and ##v## in the denominator makes it awkward to work with limits.

I suppose that I could try finding ## \lim_{(u,v) \rightarrow (\infty, \infty)} u + v = \infty## for the ##z## variable, but this method does not work for ##t##, as the limit is not defined (or at least, I cannot find it).

Can someone please help me? From several threads I looked at, either here or on Stackexchange, it seems that there is no systematic way of finding the new region, but there has to be at least a few heuristics one can follow to, isn't there?
 
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  • #2
Look at the expression for ##t## in terms of ##u## and ##v## and keep in mind that the original variables are both positive.
 
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  • #3
Observe that [tex]
(u,v) = (0,z) + (z,-z)t.[/tex] For fixed [itex]z[/itex], this is a line in the [itex](u,v)[/itex] plane from [itex](0,z)[/itex] at [itex]t = 0[/itex] to [itex](z,0)[/itex] at [itex]t = 1[/itex]. Thus the new region of integration is [itex](z,t) \in [0, \infty) \times [0,1][/itex].
 
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  • #4
Orodruin said:
Look at the expression for ##t## in terms of ##u## and ##v## and keep in mind that the original variables are both positive.
Yes, so from this information, I am only considering the first quadrant in the ##(u,v)## plane. Next, I tried to draw level curves for ##v = z-u## but I am not going anywhere. Which step would you take next?
pasmith said:
Observe that [tex]
(u,v) = (0,z) + (z,-z)t.[/tex] For fixed [itex]z[/itex], this is a line in the [itex](u,v)[/itex] plane from [itex](0,z)[/itex] at [itex]t = 0[/itex] to [itex](z,0)[/itex] at [itex]t = 1[/itex]. Thus the new region of integration is [itex](z,t) \in [0, \infty) \times [0,1][/itex].
While I understand your explanation, I have no idea how you figured this, could you please guide me through your thought process so I can apply this knowledge next time? I guess that you are making some sort of a 2D parametrization with the parameter ##t## right? I want to understand why, for example, you did not bother with limits at all, which is correct since I tried and failed, but how did you know?

Thank you both for answering.
 
  • #5
fatpotato said:
Yes, so from this information, I am only considering the first quadrant in the (u,v) plane.
You knew that from u and v being positive. The question was what you can conclude about the quantity ##t = u/(u+v) = 1/(1+v/u)## when u and v are both positive.
 
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  • #6
Orodruin said:
You knew that from u and v being positive. The question was what you can conclude about the quantity ##t = u/(u+v) = 1/(1+v/u)## when u and v are both positive.
Oh right, nice circular reasoning from my part...Thank you for pointing it out.

The problem is that with ##t = \frac{1}{1+ \frac{v}{u}}## I struggle to extract anything. With a fixed ##v##, ##t=1## when ##u## goes to infinity, but with a fixed ##u##, ##t=0## when ##v## goes to infinity...
 
  • #7
fatpotato said:
Oh right, nice circular reasoning from my part...Thank you for pointing it out.

The problem is that with ##t = \frac{1}{1+ \frac{v}{u}}## I struggle to extract anything. With a fixed ##v##, ##t=1## when ##u## goes to infinity, but with a fixed ##u##, ##t=0## when ##v## goes to infinity...
You don’t need to worry about which of u and v you fix. Look at the latter form of the expression. What are the possible values of v/u if u and v both can take any positive values?
 
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  • #8
Or, put slightly differently, you also need to look at how t behaves in the limit when you fix one of u and v and the other goes to zero as these are the other u and v integration bounds.
 
  • #9
Orodruin said:
You don’t need to worry about which of u and v you fix. Look at the latter form of the expression. What are the possible values of v/u if u and v both can take any positive values?
Right, so indeed by looking at the ratio ##v/u##, this will only result in values in ##[0, \infty[ ##, so ##\frac{1}{1 + \frac{v}{u}}## can only take values in ##[0, \infty[##, got it!

Orodruin said:
Or, put slightly differently, you also need to look at how t behaves in the limit when you fix one of u and v and the other goes to zero as these are the other u and v integration bounds.
So now I would have ##\lim_{u \rightarrow \infty} \frac{u}{u+v} = 1## and ##\lim_{v \rightarrow \infty} \frac{u}{u+v} = 0##, but there is still something I do not understand...

How do we know that the integration bounds are ##\int_0^1 dt## and not the other way around, ##\int_1^0dt##? In single variable calculus, this is immediate while doing "u-substitution" since the relationship is straightforward, but how would we figure this out here?
 
  • #10
fatpotato said:
While I understand your explanation, I have no idea how you figured this, could you please guide me through your thought process so I can apply this knowledge next time? I guess that you are making some sort of a 2D parametrization with the parameter ##t## right? I want to understand why, for example, you did not bother with limits at all, which is correct since I tried and failed, but how did you know?

This is the thought process which led me to that change of variable in the case [tex]
\int_0^\infty \int_0^\infty u^{p-1}v^{q-1} e^{-(u + v)}\,du\,dv.[/tex] Clearly I want something to be [itex]u + v[/itex], but the only part of the line [itex]u + v = z[/itex] that falls in the domain of integration is the segment between [itex](0,z)[/itex] and [itex](z,0)[/itex]; setting [itex](u,v) = (0,z)(1-t) + (z,0)t = (zt,z(1-t))[/itex] with [itex]0 \leq t \leq 1[/itex] parametrizes this segment.

In general when presented with a proposed change of variable I take a geometric approach: What does a curve of constant [itex]t[/itex] look like? Here it's a line through the origin. Fortunately the boundary of our domain of integration consists of two such lines, so what values does [itex]t[/itex] take on them?
 
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  • #11
fatpotato said:
Right, so indeed by looking at the ratio ##v/u##, this will only result in values in ##[0, \infty[ ##,
So far so good.

fatpotato said:
so ##\frac{1}{1 + \frac{v}{u}}## can only take values in ##[0, \infty[##, got it!
Either you wrote something different from what you intended or you need to think again here.
 
  • #12
Haven't been following 100% , but your left formula below is defined for all ##u \neq 0 ## ( as long as ## v \neq 0 ## ), while the one on the RH side is not.
fatpotato said:
Oh right, nice circular reasoning from my part...Thank you for pointing it out.

The problem is that with ##t = \frac{1}{1+ \frac{v}{u}}## I struggle to extract anything. With a fixed ##v##, ##t=1## when ##u## goes to infinity, but with a fixed ##u##, ##t=0## when ##v## goes to infinity...
 
  • #13
fatpotato said:
I have to compute a double integral of the form ## \int_{0}^{\infty} \int_{0}^{\infty} f(u,v) du dv##, where ##f(u,v)## is not relevant. The following change of variable is advised as a hint: ## u = zt ## and ## v = z(1-t)##.

From there, I can reformulate with respect to ##z## and ##t##: ##z = u+v##, ## t = \frac{u}{u+v} ##, but I am absolutely unable to find the limit of integrations of the new region, or to find someone that can clearly explain to me how to find the new bounds.
It looks like you're still struggling with the resulting bounds, especially in regards to the variable ##t## .

It appears that you realize that ##u,\,v, \text{ and} ,\, z## are all non-negative. Hopefully, then you also see that ##t## is also non-negative.

A couple of easy ways to get un upper bound for ##t##.

## v = z(1-t)##, so ##1-t\ge 0##. Right what does this say about ##t## ?

Also, ##(u+v)\ge u##, so what does this say regarding ##t## in the form of ##\dfrac{u}{u+v}## ?

Maybe next, we look at level curves.
 
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  • #14
fatpotato said:
How do we know that the integration bounds are ##\int_0^1 dt## and not the other way around, ##\int_1^0dt##? In single variable calculus, this is immediate while doing "u-substitution" since the relationship is straightforward, but how would we figure this out here?
EDIT. What I wrote in the post below is likely wrong (as pointed out in Post #16). Anyone reading may want to skip it.
____________
May I join in? Perhaps there is a problem with the suggested transformation ##z = u+v## and ##t = \frac u{u+v}##.

##(u, v) → (z,t)##
For small changes: ##(u+δu, v+δv) → (z+δz,t+δt)##

Consider the transformations of (for example) the point ##(u=100, v=100)## and some nearby points.

##(100,100)→ (100+100, \frac {100}{100+100}) = (200, 0.5)##
##(101,100)→ (101+100, \frac {101}{101+100}) ≈(201,0.5025)##
##(100,101)→(100+101, \frac {100}{100+101}) ≈(201, 0.4975)##

Note that an increase in ##u## alone, moving from ##(100, 100)## to ##(101,100)##, gives correpoding increases in both ##z## and ##t##.

An increase in ##v## alone, moving from ##(100, 100)## to ##(100,101)##, gives a corresponding increase in ##z## but a decrease in ##t##.

So ##δt## can be positive or negative for positive values of ##δu## and ##δv##. This introduces ambiguity. The direction of integration, ##\int_0^1 dt## or ##\int_1^0 dt##, can't be decided.

As a non-mathematician I may have misunderstood something and, if so, welcome correction.
 
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  • #15
fatpotato said:
How do we know that the integration bounds are ##\int_0^1 dt## and not the other way around, ##\int_1^0dt##? In single variable calculus, this is immediate while doing "u-substitution" since the relationship is straightforward, but how would we figure this out here?

We don't; we're looking for an expression for the unsigned area element [itex]du\,dv = |J|\,dz\,dt[/itex].
 
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  • #16
Steve4Physics said:
So ##δt## can be positive or negative for positive values of ##δu## and ##δv##. This introduces ambiguity. The direction of integration, ##\int_0^1 dt## or ##\int_1^0 dt##, can't be decided.

As a non-mathematician I may have misunderstood something and, if so, welcome correction.
By this argument we cannot do integrals in polar coordinates.
 
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  • #17
Orodruin said:
By this argument we cannot do integrals in polar coordinates.
Aha. Interesting. I'll need to go away and think about that.
 

FAQ: Jacobian: how to change limits of integration?

1. What is the Jacobian in mathematics?

The Jacobian is a mathematical concept that represents the change in variables of a function. It is often used in multivariate calculus and is important in understanding how a function changes as its inputs change.

2. How do you calculate the Jacobian?

The Jacobian can be calculated by taking the partial derivatives of a function with respect to each variable and organizing them into a matrix. The determinant of this matrix is the Jacobian value.

3. What is the purpose of changing the limits of integration using the Jacobian?

Changing the limits of integration using the Jacobian allows for the transformation of an integral from one coordinate system to another. This can be useful in solving certain types of integrals or in solving problems involving multiple coordinate systems.

4. Can the Jacobian be negative?

Yes, the Jacobian can be negative. This indicates that the orientation of the coordinate system has changed, and the integral may need to be approached differently.

5. How is the Jacobian used in real-world applications?

The Jacobian has various applications in fields such as physics, engineering, and economics. It is used in solving optimization problems, analyzing systems with multiple variables, and in understanding the relationships between different variables in a system.

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