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The figure below shows a point P(x0,y0)P\left(x_{0}, y_{0}\right) on the parabola $y^...
May 9, 2024
Solution by Steps
step 1
Given the parabola equation y2=4pxy^2 = 4px, differentiate both sides with respect to xx to find dydx\frac{dy}{dx} at the point (x0,y0)(x_0, y_0)
step 2
Differentiating y2=4pxy^2 = 4px gives 2ydydx=4p2y\frac{dy}{dx} = 4p
step 3
Solve for dydx\frac{dy}{dx} to get dydx=4p2y=2py\frac{dy}{dx} = \frac{4p}{2y} = \frac{2p}{y}
step 4
At the point (x0,y0)(x_0, y_0), dydx\frac{dy}{dx} becomes 2py0\frac{2p}{y_0}
step 5
Since tan(β)=dydx\tan(\beta) = \frac{dy}{dx} at (x0,y0)(x_0, y_0), we have tan(β)=2py0\tan(\beta) = \frac{2p}{y_0}
[question a] Answer
tan(β)=2py0\tan(\beta) = \frac{2p}{y_0}
step 1
To find tan(ϕ)\tan(\phi), use the coordinates of point P(x0,y0)P(x_0, y_0) and the focus F(p,0)F(p, 0)
step 2
The slope of the line connecting FF and PP is y00x0p=y0x0p\frac{y_0 - 0}{x_0 - p} = \frac{y_0}{x_0 - p}
step 3
Since tan(ϕ)\tan(\phi) is the slope of the line connecting FF and PP, we have tan(ϕ)=y0x0p\tan(\phi) = \frac{y_0}{x_0 - p}
[question b] Answer
tan(ϕ)=y0x0p\tan(\phi) = \frac{y_0}{x_0 - p}
step 1
Use the identity tan(xy)=tan(x)tan(y)1+tan(x)tan(y)\tan(x - y) = \frac{\tan(x) - \tan(y)}{1 + \tan(x)\tan(y)} to find tan(α)\tan(\alpha)
step 2
Substitute tan(β)=2py0\tan(\beta) = \frac{2p}{y_0} and tan(ϕ)=y0x0p\tan(\phi) = \frac{y_0}{x_0 - p} into the identity
step 3
This gives tan(αϕ)=2py0y0x0p1+2py0y0x0p\tan(\alpha - \phi) = \frac{\frac{2p}{y_0} - \frac{y_0}{x_0 - p}}{1 + \frac{2p}{y_0} \cdot \frac{y_0}{x_0 - p}}
step 4
Simplify the expression to find tan(αϕ)\tan(\alpha - \phi)
step 5
Since ϕ\phi is the angle between the line connecting FF and PP and the x-axis, and α\alpha is the angle between the x-axis and line LL', which is parallel to the x-axis, ϕ=0\phi = 0 and tan(ϕ)=0\tan(\phi) = 0
step 6
Therefore, tan(α)=tan(α0)=tan(αϕ)=2py0\tan(\alpha) = \tan(\alpha - 0) = \tan(\alpha - \phi) = \frac{2p}{y_0}
step 7
Since tan(α)=tan(β)\tan(\alpha) = \tan(\beta), we conclude that α=β\alpha = \beta by the uniqueness of the tangent function in the range (π2,π2)(-\frac{\pi}{2}, \frac{\pi}{2})
[question c] Answer
tan(α)=2py0\tan(\alpha) = \frac{2p}{y_0} and hence α=β\alpha = \beta
Key Concept
Tangent and slope in the context of a parabola
Explanation
The tangent to a curve at a point is represented by the derivative at that point. For a parabola, the slope of the tangent line can be found by differentiating the equation of the parabola. The reflective property of parabolas is shown by proving that the angles of incidence and reflection are equal, which is done by equating their tangents using the tangent subtraction formula.
Solution by Steps
step 1
To sketch the graph of z=f(x,y)z = f(x, y), consider the two cases given by the function
step 2
For xy0xy \neq 0, f(x,y)=0f(x, y) = 0. This means that for all points except along the x-axis and y-axis, the value of zz is 0
step 3
For xy=0xy = 0, f(x,y)=1f(x, y) = 1. This means that along the x-axis and y-axis, the value of zz is 1
step 4
The graph will show a flat plane at z=0z = 0 with lines at z=1z = 1 along the x-axis and y-axis
[question a] Answer
The graph is a flat plane at z=0z = 0 with spikes to z=1z = 1 along the x-axis and y-axis.
step 5
To determine if ff is continuous at (0,0)(0,0), consider the limit of f(x,y)f(x, y) as (x,y)(x, y) approaches (0,0)(0,0)
step 6
If the limit exists and equals f(0,0)f(0,0), then ff is continuous at (0,0)(0,0)
step 7
Approaching (0,0)(0,0) along any line y=mxy = mx where mm is a nonzero constant, the limit is 00 since xy0xy \neq 0
step 8
However, approaching (0,0)(0,0) along the x-axis or y-axis, the function value is always 11
step 9
Since the limit depends on the path taken to approach (0,0)(0,0), the limit does not exist
step 10
Therefore, ff is not continuous at (0,0)(0,0)
[question b] Answer
The function ff is not continuous at (0,0)(0,0) because the limit as (x,y)(x, y) approaches (0,0)(0,0) does not exist.
step 11
To "guess" fx\frac{\partial f}{\partial x} and fy\frac{\partial f}{\partial y} at (0,0)(0,0), look at the graph from part (a)
step 12
Along the x-axis, f(x,0)=1f(x, 0) = 1 for all xx, so fx\frac{\partial f}{\partial x} appears to be 00 at (0,0)(0,0)
step 13
Along the y-axis, f(0,y)=1f(0, y) = 1 for all yy, so fy\frac{\partial f}{\partial y} appears to be 00 at (0,0)(0,0)
step 14
To verify the guess for fx\frac{\partial f}{\partial x}, use the definition of the partial derivative
step 15
The partial derivative with respect to xx is the limit of f(x,0)f(0,0)x0\frac{f(x,0) - f(0,0)}{x - 0} as xx approaches 00
step 16
Since f(x,0)=1f(x,0) = 1 and f(0,0)=1f(0,0) = 1, the limit is 11x=0\frac{1 - 1}{x} = 0 as xx approaches 00
step 17
Therefore, the partial derivative fx\frac{\partial f}{\partial x} at (0,0)(0,0) is 00
[question c] Answer
The estimated partial derivatives fx\frac{\partial f}{\partial x} and fy\frac{\partial f}{\partial y} at (0,0)(0,0) are both 00, and the estimation for fx\frac{\partial f}{\partial x} is verified to be correct.
step 18
To draw conclusions about the existence of partial derivatives and continuity, consider the results from parts (a), (b), and (c)
step 19
The partial derivatives at (0,0)(0,0) exist and are both 00
step 20
However, the function is not continuous at (0,0)(0,0)
step 21
The existence of partial derivatives at a point does not imply continuity at that point
[question d] Answer
Partial derivatives may exist at a point where a function is not continuous. The existence of partial derivatives does not guarantee continuity.
Key Concept
Continuity and Partial Derivatives
Explanation
A function can have partial derivatives at a point even if it is not continuous at that point. The existence of partial derivatives alone does not ensure continuity.
Solution by Steps
step 1
To show that (0,0,1)(0,0,1) is on the surface, we substitute x=0x=0, y=0y=0, and z=1z=1 into the given surface equation xz2yz+cos(xy)=1x z^{2}-y z+\cos (x y)=1
step 2
Substituting the values, we get 01201+cos(00)=10 \cdot 1^{2} - 0 \cdot 1 + \cos (0 \cdot 0) = 1
step 3
Simplifying the equation, we have 0+0+cos(0)=10 + 0 + \cos (0) = 1. Since cos(0)=1\cos (0) = 1, the equation simplifies to 1=11 = 1
[question a] Answer
The point (0,0,1)(0,0,1) is indeed on the surface as the equation holds true when the values are substituted.
Key Concept
Substitution of coordinates into the surface equation to verify if a point lies on the surface.
Explanation
By substituting the coordinates of the point into the surface equation and simplifying, we can confirm whether the point satisfies the equation and thus lies on the surface.
step 1
To construct the equation of the platform tangent to the surface at (0,0,1)(0,0,1), we first need to find the gradient vector f(x,y,z)\nabla f(x, y, z) of the surface at that point
step 2
The gradient vector is given by f(x,y,z)=(fx,fy,fz)\nabla f(x, y, z) = \left(\frac{\partial f}{\partial x}, \frac{\partial f}{\partial y}, \frac{\partial f}{\partial z}\right), where f(x,y,z)=xz2yz+cos(xy)1f(x, y, z) = x z^{2}-y z+\cos (x y) - 1
step 3
We calculate the partial derivatives at (0,0,1)(0,0,1): fx=z2ysin(xy)\frac{\partial f}{\partial x} = z^{2} - y \sin(xy), fy=zxsin(xy)\frac{\partial f}{\partial y} = -z - x \sin(xy), fz=2xzy\frac{\partial f}{\partial z} = 2xz - y
step 4
Substituting (0,0,1)(0,0,1) into the partial derivatives, we get fx=120sin(00)=1\frac{\partial f}{\partial x} = 1^{2} - 0 \cdot \sin(0 \cdot 0) = 1, fy=10sin(00)=1\frac{\partial f}{\partial y} = -1 - 0 \cdot \sin(0 \cdot 0) = -1, and fz=2010=0\frac{\partial f}{\partial z} = 2 \cdot 0 \cdot 1 - 0 = 0
step 5
The gradient vector at (0,0,1)(0,0,1) is f(0,0,1)=(1,1,0)\nabla f(0, 0, 1) = (1, -1, 0)
step 6
The equation of the tangent plane at (0,0,1)(0,0,1) is given by (x0)(1)+(y0)(1)+(z1)(0)=0(x-0)(1) + (y-0)(-1) + (z-1)(0) = 0
step 7
Simplifying the equation of the tangent plane, we get xy=0x - y = 0
[question b] Answer
The equation of the platform tangent to the surface at (0,0,1)(0,0,1) is xy=0x - y = 0.
Key Concept
Gradient vector and tangent plane equation.
Explanation
The gradient vector at a point on a surface is perpendicular to the tangent plane at that point. By finding the gradient vector, we can construct the equation of the tangent plane.
step 1
To show that the curve is tangent to the surface, we need to show that the velocity vector of the curve at the point of tangency is parallel to the gradient vector of the surface at that point
step 2
The velocity vector of the curve is given by v(t)=drdt=ddt(lnti+tlntj+tk)v(t) = \frac{d \mathbf{r}}{d t} = \frac{d}{d t} (\ln t \mathbf{i} + t \ln t \mathbf{j} + t \mathbf{k})
step 3
Differentiating, we get v(t)=1ti+(lnt+1)j+kv(t) = \frac{1}{t} \mathbf{i} + (\ln t + 1) \mathbf{j} + \mathbf{k}
step 4
To find the point of tangency, we set the position vector equal to the point (0,0,1)(0,0,1): lnti+tlntj+tk=0i+0j+1k\ln t \mathbf{i} + t \ln t \mathbf{j} + t \mathbf{k} = 0 \mathbf{i} + 0 \mathbf{j} + 1 \mathbf{k}
step 5
Solving for tt, we find that t=1t = 1 since ln1=0\ln 1 = 0
step 6
Substituting t=1t = 1 into the velocity vector, we get v(1)=11i+(ln1+1)j+k=i+j+kv(1) = \frac{1}{1} \mathbf{i} + (\ln 1 + 1) \mathbf{j} + \mathbf{k} = \mathbf{i} + \mathbf{j} + \mathbf{k}
step 7
The gradient vector at (0,0,1)(0,0,1) is f(0,0,1)=(1,1,0)\nabla f(0, 0, 1) = (1, -1, 0) as found in the previous question
step 8
Since the velocity vector v(1)v(1) and the gradient vector f(0,0,1)\nabla f(0, 0, 1) are not parallel (they are not scalar multiples of each other), the curve is not tangent to the surface at (0,0,1)(0,0,1)
[question c] Answer
The curve given by r(t)=(lnt)i+(tlnt)j+tk\mathbf{r}(t) = (\ln t) \mathbf{i} + (t \ln t) \mathbf{j} + t \mathbf{k} is not tangent to the surface at the point (0,0,1)(0,0,1) because the velocity vector at t=1t=1 is not parallel to the gradient vector of the surface at that point.
Key Concept
Tangency condition between a curve and a surface.
Explanation
For a curve to be tangent to a surface at a point, the velocity vector of the curve at that point must be parallel to the gradient vector of the surface at the same point. In this case, they are not parallel, so the curve is not tangent to the surface.
Solution by Steps
step 2
The triangle has a base of 3 and height of 2, so the radius of the disks as a function of x x is r(x)=23x r(x) = \frac{2}{3}x
step 3
The volume of the solid formed by the triangle is Vtriangle=03π(23x)2dx V_{\text{triangle}} = \int_0^3 \pi \left(\frac{2}{3}x\right)^2 dx
step 4
To find the volume of the solid formed by rotating the quarter-circle around the z-axis, we use the shell method. The volume of a cylindrical shell with radius r r , height h h , and thickness dr dr is V=2πrhdr V = 2\pi rh dr
step 5
The quarter-circle has a radius of 2, so the height of the shells as a function of r r is h(r)=2r h(r) = 2 - r
step 6
The volume of the solid formed by the quarter-circle is Vcircle=022πr(2r)dr V_{\text{circle}} = \int_0^2 2\pi r(2 - r) dr
step 7
The total volume of the trophy is Vtotal=Vtriangle+Vcircle V_{\text{total}} = V_{\text{triangle}} + V_{\text{circle}}
step 8
For part (b), we generalize the volume calculation by replacing the dimensions 3 and 2 with r r and s s respectively
step 9
The volume of a similar solid with dimensions r r and s s is V(r,s)=0rπ(srx)2dx+0s2πr(sr)dr V(r, s) = \int_0^r \pi \left(\frac{s}{r}x\right)^2 dx + \int_0^s 2\pi r(s - r) dr
step 10
For part (c), we use linear approximation to estimate the maximum possible error in the volume calculation
step 11
The linear approximation formula is ΔVVrΔr+VsΔs \Delta V \approx \frac{\partial V}{\partial r} \Delta r + \frac{\partial V}{\partial s} \Delta s , where Δr \Delta r and Δs \Delta s are the maximum possible errors in r r and s s
step 12
We calculate the partial derivatives Vr \frac{\partial V}{\partial r} and Vs \frac{\partial V}{\partial s} and evaluate them at r=3 r = 3 and s=2 s = 2
step 13
The maximum possible error in r r and s s is 0.5, so Δr=Δs=0.5 \Delta r = \Delta s = 0.5
step 14
We substitute Δr \Delta r and Δs \Delta s into the linear approximation formula to find the maximum possible error in the volume
[question 1] Answer
A
Key Concept
Volume of solids of revolution
Explanation
The volume of a solid formed by rotating a two-dimensional region around an axis can be calculated using the disk or shell method, depending on the shape of the region.
[question 2] Answer
B
Key Concept
Generalization of volume formulas
Explanation
The volume formulas can be generalized by replacing specific dimensions with variables to find the volume of similar solids with different dimensions.
[question 3] Answer
C
Key Concept
Linear approximation and error estimation
Explanation
Linear approximation can be used to estimate the maximum possible error in a measurement by considering the partial derivatives of the volume with respect to the measured dimensions and the maximum error in those dimensions.
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