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

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SUMMARY

The discussion centers on the application of Leibniz's integral rule to differentiate the function defined by the integral $$y(x) = \int_0^{x} \sin(x-t)f(t) dt$$. Participants clarify that the function f must be continuous at the origin, leading to the conclusion that f(0) = 0. The correct application of Leibniz's rule is emphasized, particularly in cases where the boundaries of the integral are functions of x. The conversation also highlights the importance of understanding the distinction between differentiation and integration in this context.

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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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