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1 Part 1: Traces
The cone and paraboloid are two mathematical surfaces with distinct shapes that, at first glance, may appear to be similar. A cursory examination of both Figure 1 and Figure 2 reveals that both shapes exhibit an almost circular-like distribution. However, upon delving deeper into this project, I will demonstrate how significantly different these shapes are.
Upon observing the contour maps of the cone and paraboloid, a notable disparity in their growth patterns is immediately discernible. Specifically, the paraboloid exhibits a rate of growth that could be described as approaching an exponential function, evidenced by the discrepancy in growth between z = 4 and z = 3 when compared to the difference in growth between z = 2 and z = 3.
In contrast, the growth of the cone appears to be more uniform across its dimensions. This observation could be attributed to the paraboloid’s underlying quadratic equation, which imparts a degree of curvature and accentuates the rate of growth in the z direction. Such distinctions are critical to understanding the properties and applications of these shapes in various fields, including physics, engineering, and mathematics.
2 Part 2: Directional Derivatives
I began by calculating the directional derivatives and magnitude of both shapes:
2.1 Step 1
Find the Gradient Vector and Magnitude for z = x2+ y2:
Plugging in the point (1,0,1), we have:
Gradient Vector:
√
Magnitude: = 5
2.2 Step 2
Find the Gradient Vector and Magnitude for z = px2+ y2:
Plugging in the point (1,0,1), we have:
Gradient Vector:
√
Magnitude: = 2
2.3 Final Answer
Upon analyzing the rate of change of the surface areas of a paraboloid and a cone, it is evident that the paraboloid has the highest rate of increase, with a√ √
value of 5, while the cone has a rate of increase of 2. The computation of the greatest increase highlights the substantial difference between the two shapes, revealing that the paraboloid increases at a much faster rate than the cone.
Furthermore, observing the contour maps for both shapes provides a graphical representation of their rate of change. From the contour map, it is clear that the paraboloid has a much larger increase as compared to the cone, while the latter seems to increase at a relatively constant rate.
3 Part 3: Tangent Places
Suppose that f has a continuous partial derivative. An equation of the tangent plane to the surface. An equation of the tangent plane to the surface z = f(x,y) at the point P(x0,y0,z0) is given by:
3.1 Step 1
Find the Tangent Planes on P(0,0,0) for z = x2+ y2
Plugging in x = 0 and y = 0, we get:
z −0 = 2x(0,0)(x −0)+2y(0,0)(y −0)
so the equation of the tangent plane is:
z = 0
3.2 Step 2
Find the Tangent Planes on P(0,0,0) for Z = px2+ y2
,
Plugging in x = 0 and y = 0, we get:
so the equation of the tangent plane is:
z = 0.
3.3 Step 3
3D image of both Z = px2+ y2 and Z = x2+ y2
To provide a comprehensive understanding of the cone and paraboloid shapes, I decided to utilize the powerful visualization tool, GeoGebra 3D. This tool allows for an interactive 3D representation of the shapes, which provides a better insight into their structure and properties.
3.4 Final Answer
Therefore, in our effort to derive the equation of the tangent plane to the surface z = f(x,y) at the point P(0,0,0), we have obtained z = 0 as the equation of the tangent plane. This result indicates that the tangent line at the origin lies on the x-y plane. This finding can also be clearly observed in the accompanying graphs (figure 1 & 2), where the point P(0,0,0) is seen to be untouched by the surface.