The average value of f on the interval [0, 10] is the average of the average value of f on [0, 5] and the average value of f on [5, 10]. True or False?
It depends what you mean by "and".
The average value of f on the interval [0, 10] is the average of the average value of f on [0, 5] PLUS the average value of f on [5, 10]. I think the question means PLUS where I typed above. And means it is equal to both options simultaneously...
You can re-average them together.
so it would be true?
Yes.
The average value of the product f(x) · g(x), of two functions on an interval equals the product of the average values of f(x) and g(x) on the interval.
\(\frac{1}{10}\int_0^{10} f(x)\ dx = \frac{1}{2}(\frac{1}{5}\int_0^{5} f(x)\ dx + \frac{1}{5}\int_5^{10} f(x)\ dx)\)
Because the length of both intervals is equal \(5-0 = 5,\quad 10-5=5\).
what about that one?
i see what you mean though!
Do you know what a weighted average is?
im afraid not :/
A normal average would be: \[ \frac{a+ b+c}{3} \]
A weighted average would be \[ \frac{aw_a+bw_b+cw_c}{w_a+w_b+w_c} \]
hmmm okay so how would that apply to the product of two functions?
The weights \(w\) give each item being averaged a custom significance.
When we find the average of a continuous function, the weights we use are \(\Delta x\), which becomes the infinitesimal \(dx\).
So the normal formula is: \[\Large \frac{\int_a^bf(x)\;dx}{\int_a^bdx} = \frac{F(a)-F(b)}{b-a} \]where \(F'(x) = f(x)\).
If you already have calculated the average of a function for a few intervals, and you want to re-average them all, then you would take a weighted average where the weights are the interval lengths.
okay
You could average for two intervals that weren't even touching.
\[ \frac{(d-c)\frac{F(d)-F(c)}{d-c} +(b-a)\frac{F(b)-F(a)}{b-a}}{(d-c)+(b-a)} = \frac{(F(d)-F(c)) +(F(b)-F(a))}{(d-c)+(b-a)} \]
This is done when calculating the center of mass.
Let me make a correction:\[ \frac{\int_a^b f(x)\;w(x)\;dx}{\int_a^bw(x)\;dx} = \frac{G(b)-G(a)}{W(b)-W(a)} \]where \(G'(x) = f(x)w(x)\).
Does this make it averages more clear to you?
In probability, the expected value is given by the weighted average of a random variable weighted by it's probability distribution.
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