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See Matt's beautiful figure from Lab 3 below. The volume might be calculated as a large volume with a cylinder removed from its center.
Here $h(x)$ represents the height of a tiny rectangle at $x$, of width $dx$. Don't forget your "$dx$"s, as that always irritates the grader -- and you know that you should always keep your grader happy!
It's always good to ask yourself "Is my approximator still doing a good job?", and we answer that by comparing how the function and its approximator compare at points a given distance away from $x=x_0$.
Think of an approximator as a cheap way of getting a pretty good answer. Here's an analogy: in clinical trials the AstraZeneca vaccine was 70 per cent effective in protecting against symptomatic Covid-19. Pfizer's preliminary results suggest the shots are 95 per cent effective. Back in November, Pfizer treatment was going for about \$40; Astra for \$8.
Imagine that we know that $\displaystyle (e^x)'=e^x$, but don't know the derivative of $\displaystyle \ln(x)$, the inverse of $\displaystyle e^x$. Let's hope that we also remember the chain rule (and all those other rules from calc I!).
Since these two functions are equal (the identity rule for inverses), \[ e^{\ln(x)} = x \] their derivatives must be equal as well: \[ \left(e^{\ln(x)}\right)' = e^{\ln(x)} \left(\ln(x)\right)' = 1 \] Therefore \[ (\ln(x))' = \frac{1}{e^{\ln(x)}} = \frac{1}{x} \] Amazing!
p[x_]:=Log[3/(1 + x^2)] xleft = -Sqrt[2] xright = Sqrt[2] z[x_]:=1 RevolutionPlot3D[{{p[x] + 1}, {z[x]}}, {x, xleft, xright}, RevolutionAxis -> {1, 0, 0}]Punch that in, and you'll see a beautiful volume of rotation about the line $y=-1$:
Looks like Matt actually shifted the function up one unit, then reflected it about the $x$-axis, and then removed a cylinder of radius 1 about the $x$-axis. This produces the identical figure, and its computed volume will be the same as the original object.