Expectation of Continuous Random Variable [word problem]

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The discussion revolves around the differentiation of integrals involving continuous random variables, specifically using the Fundamental Theorem of Calculus. Participants clarify the relationship between cumulative distribution functions (CDFs) and probability density functions (PDFs), noting that the derivative of the CDF is the PDF. The conversation highlights the need to apply the product rule and switch limits of integration correctly when differentiating. A key formula for differentiating integrals with variable limits is introduced, which simplifies the process and resolves confusion regarding the last terms in the calculations. Overall, the thread emphasizes understanding the proper application of calculus principles in probability contexts.
izelkay
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Homework Statement


Here's the problem with the solution provided:
V2pcSB6.png


Homework Equations


Fundamental Theorem of Calculus (FToC)

The Attempt at a Solution


So I understand everything up to where I need to take the derivative of the integral(s).
Couple of things I know is that the derivative of the CDF, F(T) is the PDF, f(t). So naturally the integral of the PDF would be the CDF, right?

So for the first integral, ct∫f(x)dx [0,t]
I would need to use the product rule for this I think, so I'd have:

c∫f(x)dx [0,t] + ctf(t)

And since the integral of the PDF is the CDF, this would be:

cF(t) + ctf(t) right? That's what they have so far

For the second integral, -c∫xf(x)dx[0,t]

The derivative of this would just be
-ctf(t)

by the Fundamental Theorem of Calculus.

The third integral, k∫xf(x)dx [t,∞]

I believe I would need to switch the limits of integration for this to be able to differentiate using the FToC:

-k∫xf(x)dx [∞,t]

Then, differentiating this:

-ktf(t)

For the fourth integral I'm not sure what they did. I thought we just needed to switch the limits of integration again to get

kt∫f(x)dx [∞,t]

And then differentiate this to get

k∫f(x)dx [∞,t] + ktf(t)
=
kF(t) + ktf(t)

so in total, I'd have:

cF(t) + ctf(t) - ctf(t) - ktf(t) + kF(t) + ktf(t)

which matches what they have except for the last two terms. I'm not sure what's going on there, can someone explain?
 
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Hm I'm looking at where I switched the limits of integration, and it doesn't really make sense to integrate something from infinity to t does it? Could that be the problem?
 
izelkay said:

Homework Statement


Here's the problem with the solution provided:
V2pcSB6.png


Homework Equations


Fundamental Theorem of Calculus (FToC)

The Attempt at a Solution


So I understand everything up to where I need to take the derivative of the integral(s).
Couple of things I know is that the derivative of the CDF, F(T) is the PDF, f(t). So naturally the integral of the PDF would be the CDF, right?

So for the first integral, ct∫f(x)dx [0,t]
I would need to use the product rule for this I think, so I'd have:

c∫f(x)dx [0,t] + ctf(t)

And since the integral of the PDF is the CDF, this would be:

cF(t) + ctf(t) right? That's what they have so far

For the second integral, -c∫xf(x)dx[0,t]

The derivative of this would just be
-ctf(t)

by the Fundamental Theorem of Calculus.

The third integral, k∫xf(x)dx [t,∞]

I believe I would need to switch the limits of integration for this to be able to differentiate using the FToC:

-k∫xf(x)dx [∞,t]

Then, differentiating this:

-ktf(t)

For the fourth integral I'm not sure what they did. I thought we just needed to switch the limits of integration again to get

kt∫f(x)dx [∞,t]

And then differentiate this to get

k∫f(x)dx [∞,t] + ktf(t)
=
kF(t) + ktf(t)

so in total, I'd have:

cF(t) + ctf(t) - ctf(t) - ktf(t) + kF(t) + ktf(t)

which matches what they have except for the last two terms. I'm not sure what's going on there, can someone explain?

The exerpt you quote has a very weird way of doing the derivative, and you are over-thinking the problem. In fact, using the general result
\frac{d}{dt} \int_{a(t)}^{b(t)} h(x,t) \, dx = h(b(t),t) b&#039;(t) - h(a(t),t) a&#039;(t) <br /> + \int_{a(t)}^{b(t)} \frac{\partial}{\partial t} h(x,t) \, dt
we have
\frac{d}{dt} \int_0^t c(t-x) f(x)\, dx = c(t-x) f(x)|_{x=t} + \int_0^t \frac{\partial}{\partial t} c(t-x) f(x) \, dx\\<br /> = c \:0 \:f(t) + c \int_0^t f(x) \, dx = c F(t)
and
\frac{d}{dt} \int_t^{\infty} k(x-t) f(x) \, dx = -k(x-t) f(x)|_{x=t} <br /> + \int_t^{\infty} \frac{\partial}{\partial t} k(x-t) f(x) \, dx \\<br /> = - k \: 0 \: f(t) - k \int_t^{\infty} f(t) \, dt.
Since ##\int_t^{\infty} f(x) \, dx = 1 - F(t)##, we have
\frac{d}{dt} E C_t(X) = c F(t) - k[1-F(t)]= (c+k) F(t) - k
 
Mm okay it makes sense with the formula you used, though I've never seen that formula before.
 
Okay, thank you very much.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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