ML-inequality, Estimation of Line Integrals

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Homework Help Overview

The discussion revolves around the estimation of line integrals involving a vector function defined on a curve, specifically addressing the condition that the magnitude of the vector function is bounded. Participants are tasked with showing that the absolute value of the integral of the vector function along the curve is less than or equal to the product of the bound and the length of the curve.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the implications of the boundedness of the vector function's magnitude and question the meaning of taking the dot product with a scalar. There are attempts to apply known inequalities from calculus to the context of line integrals, and some participants express uncertainty about how to simplify the integral.

Discussion Status

Several participants provide insights and guidance on how to approach the problem, including suggestions to apply properties of integrals and clarify the relationship between scalars and vector operations. The discussion reflects a collaborative effort to navigate the complexities of the problem without reaching a definitive conclusion.

Contextual Notes

There is an ongoing examination of the definitions and assumptions related to the vector function and its magnitude, as well as the nature of the integral being evaluated. Participants are also considering the implications of the boundedness condition in their reasoning.

wifi
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Problem:

Let ##\vec{F}## be a vector function defined on a curve C. Let ##|\vec{F}|## be bounded, say, ##|\vec{F}| ≤ M## on C, where ##M## is some positive number. Show that ##|\int\limits_C\ \vec{F} \cdot d\vec{r}| ≤ ML ## (L=Length of C).Attempt at a Solution:

I honestly have no idea where to start with this one. It's not really clear to me exactly what the question is asking me to show.

I understand we have this vector function ##\vec{F}=F_1 \hat{i} + F_2 \hat{j} + F_3 \hat{k} ##, and that's about it... What does it mean to say that the magnitude ##|\vec{F}| ## is "bounded" in such a way that ##|\vec{F}| ≤ M##? Are we imposing a restriction here?
 
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Bring the absolute values within the integral then this |F| in the integral is smaller than ||F||_\infty. What remains is a simple line integral.
 
Is this what you're saying?

##|\int\limits_C\ \vec{F} \cdot d\vec{r}| ≤ \int\limits_C\ | \vec{F} | \cdot d\vec{r} ##
 
Any help guys?
 
Wouldn't ## |\vec{F}|## be a scalar? In which case taking the dot product is undefined in ##\int |\vec{F}| \cdot d\vec{r} ##?
 
yes, the norm of {\mathbf{F}} is a scalar, so your comment about the dot product with d {\mathbf{r}} is correct. If the norm of {\mathbf{F}} is a scalar, what can you do to simplify
<br /> \int_C {\mathbf{F}} \, d{\mathbf{r}} \text{ ?}<br />

and what remains when you do simplify it? (Hint: it is here where you'll use the assumption that |\mathbf{F}| \le M.)
 
I'm not really sure how ## \int_C {\mathbf{F}} \, d{\mathbf{r}} ## can be simplified. Can you be more specific?
 
From calculus, you can prove that for smooth ##f(x)## defined on the curve C, (which is in the domain of f(x)) then $$\left|\int f(x)\, dx \right| \leq \int \left| f(x) \right|\,dx$$
Apply this to your problem.
 
I understand that ## \left|\int f(x)\, dx \right| \leq \int \left| f(x) \right| dx\,##, I don't see how that can be applied to this line integral.
 
  • #10
wifi said:
I understand that ## \left|\int f(x)\, dx \right| \leq \int \left| f(x) \right|\,##, I don't see how that can be applied to this line integral.

##|\underline{F}|## is a scalar. How can you reexpress ##\int |\underline{F}|\,d\underline{r}##?
 
  • #11
In the integral ##\int |\vec{F}| \cdot d\vec{r}##, isn't ## |\vec{F}| \cdot d\vec{r} ## undefined since the dot product is an operation between two vectors?
 
  • #12
wifi said:
In the integral ##\int |\vec{F}| \cdot d\vec{r}##, isn't ## |\vec{F}| \cdot d\vec{r} ## undefined since the dot product is an operation between two vectors?

It is, but the integral in my last post does not include a dot product.
If ##k## is a scalar, then ##\int k f(x) dx = ?##
Once you make this step, use the condition of the boundedness of f.
 
  • #13
## \int k f(x) dx = k\int f(x)dx ##. So I think you're trying to say ## \int |\vec{F}| d\vec{r} = |\vec{F}| \int d\vec{r}##. Right?
 
  • #14
wifi said:
## \int k f(x) dx = k\int f(x)dx ##. So I think you're trying to say ## \int |\vec{F}| d\vec{r} = |\vec{F}| \int d\vec{r}##. Right?

Right. Now use the boundedness of ##|\underline{F}|## and evaluate ##\int_C d \underline{r}##
 
  • #15
So since we know that ##|\vec{F}| \leq M## and ##\int d\vec{r}=L## , we have ## \int |\vec{F}| d\vec{r} = |\vec{F}| \int d\vec{r} \leq M \int d\vec{r} = ML##. Yes?
 
  • #16
wifi said:
So since we know that ##|\vec{F}| \leq M## and ##\int d\vec{r}=L##, we have ## \int |\vec{F}| d\vec{r} = |\vec{F}| \int d\vec{r} \leq M \int d\vec{r} = ML##. Yes?

Yes, you are done.
 
  • #17
CAF123, you're the best!
 

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