Can the Origin be a Critical Point for a Function in an Interval?

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Homework Help Overview

The discussion revolves around the application of Leibniz's integral rule and the differentiation of integrals involving a function that may or may not be differentiable. Participants explore whether the origin can be considered a critical point for a function defined over an interval that includes the origin.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the correct application of Leibniz's integral rule and question the continuity and differentiability of the function involved. There are attempts to differentiate integrals with variable boundaries and considerations about the implications of such differentiations.

Discussion Status

The discussion is active, with participants providing guidance on the application of integral rules and questioning assumptions about continuity and differentiability. Some participants express uncertainty about specific steps and the validity of their approaches, while others suggest simpler methods or clarify concepts.

Contextual Notes

There is a noted concern regarding the differentiability of the function involved and the implications of applying differentiation rules when boundaries are functions of the variable. Participants also reflect on the distinction between the function containing the origin and the interval containing the origin.

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Homework Statement
Let f be a continuous function in a interval I containing the origin and let

##y = y(x) = \int_0^x sin(x - t)f(t) dt##

Prove that ##y'' + y = f(x)## and ##y(0) = y'(0) = 0## for all x ##\in I##
Relevant Equations
...
I know how to solve ##\frac{d}{dx} \int_0^{x^2} sin(t^2) dt## and from the statement I got that f(0) = 0 because f contains the origin and is continuous.

I tried y'(x) = sin(x - x)f(x) - sin(x - 0)f(0) but that doesn't seem to look good.
 
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You are not applying Leibniz's integral rule correctly.
https://en.wikipedia.org/wiki/Leibniz_integral_ruleAlso I don't understand how you got that f(0)=0 because f is continuous and contains the origin..

Just apply correctly Leibniz's integral rule to calculate y'(x) and y''(x)..
 
We have a function ##g(x,t)=\sin(x-t)f(t)## as integrand, so that ##y(x)=\int_0^x g(x,t)\,dt##.
I would like to differentiate by ##\dfrac{d}{dx}g(x)= \displaystyle{ \int_0^x } \dfrac{\partial }{\partial x}g(x,t)\,dt## but I'm not 100% sure whether this is ok if the variable is still in the boundary.

What does your book say about differentiating convolutions?
Have a look: https://en.wikipedia.org/wiki/Convolution#Differentiation
 
fresh_42 said:
I'm not 100% sure whether this is ok if the variable is still in the boundary.
It is not. The easy counter example is letting g(x,t) be a non-zero constant.
 
fresh_42 said:
We have a function ##g(x,t)=\sin(x-t)f(t)## as integrand, so that ##y(x)=\int_0^x g(x,t)\,dt##.
I would like to differentiate by ##\dfrac{d}{dx}g(x)= \displaystyle{ \int_0^x } \dfrac{\partial }{\partial x}g(x,t)\,dt## but I'm not 100% sure whether this is ok if the variable is still in the boundary.

What does your book say about differentiating convolutions?
Have a look: https://en.wikipedia.org/wiki/Convolution#Differentiation
I am not so sure that the differentiation result for convolution can be applied when the boundaries of the convolution are functions of x.
 
Delta2 said:
I am not so sure that the differentiation result for convolution can be applied when the boundaries of the convolution are functions of x.
It cannot.
 
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Here is an idea, derived from the principle: eliminate what disturbs!
I'm not sure whether my first step is necessary, but it is what I did. We have
\begin{align*}
y(x)&=\int_0^x \sin(x-t)f(t)\,dt\\
&=-\int_0^x \sin(t-x)f(t)\,dt\\
&\stackrel{(sx=t-x)}{=} -\int_{-1}^0 \sin(sx)\left( xf(sx+x) \right)\,ds \\
&\stackrel{(g(sx)=xf(sx+x))}{=} -\int_{-1}^0 \sin(sx) g(sx) \, ds
\end{align*}
where now ##x## is just a constant and the integral basically the same as before, with constant boundary and a modified function ##g(tx):=xf(tx+x)## which is still defined on now ##[-1,0]## and continuous.
 
You can of course do something like that, but why would you? It is a simple matter of correctly applying what was linked to already in #2.
 
Yes well Leibniz rule correctly applied gives the answer in three lines, but it is interesting what @fresh_42 does because it removes the dependence of the boundary on x.
 
  • #10
I start to like the question, because how to deal with parameter integrals as well as this useful principle to attack what disturbs can be learnt. I assume that the proof of the Leibniz rule does exactly this. But one has to be cautious with Leibniz as ##f(t) ## is not necessarily differentiable.
 
  • #11
While that would be workable, I think it is more common to just apply the definition of the derivative.
 
  • #12
fresh_42 said:
I start to like the question, because how to deal with parameter integrals as well as this useful principle to attack what disturbs can be learnt. I assume that the proof of the Leibniz rule does exactly this. But one has to be cautious with Leibniz as ##f(t) ## is not necessarily differentiable.
I don't think we need differentiation with respect to t, the statement of the theorem speaks about continuity with respect to x and t , and differentiation with respect to x.
 
  • #13
I haven't checked, that's why I said cautious. Anyway, there is something to learn from the exercise.
 
  • #14
I just realized that I was confusing differentiation with integration.

$$\int_0^x sin(t) dt = -cos(x) + 1$$

but

$$\frac{d}{dx} \int_0^x sin(t) dt = sin(x)$$

not ##F'(x) - F'(0) = sin(x) - sin(0)##
 
  • #15
Following wikipedia's article I was able to prove it. I just realized something else, in addition. The statement is that the interval contains the origin, not that the function itself contains the point (0,0).
 

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