In the three-dimensional orthogonal coordinate system , consider the surface defined by
where and are parameters of the surface , and
Let be the region surrounded by the surface , and let be the region satisfying the inequality . Answer the following questions for the surface .
- [I.] Find the unit normal vector oriented inward the region at the point
on the surface $S$.
- [II.] Find the area of the portion of the surface included in the region .
- [III.] Find the volume of the overlapping region .
- [IV.] Consider the curve on the surface defined by setting in the parametrization of . Find the curvature of the curve at the point
on the curve $C$.
Note that, in general, given a three-dimensional curve defined by
with parameter , the curvature of the curve at the point is given by
Let be the inward unit normal vector at obtained in {\rm I}. Let be the area obtained in {\rm II}, and let be the overlapping volume obtained in {\rm III}. Let be the curvature at obtained in {\rm IV}.Define
Compute the integer .\
[THOUGHT] Let's break down the problem step-by-step.
Part I: Find the unit normal vector oriented inward at point
- Parametrization of Surface :
- Compute Tangent Vectors:
- Find Cross Product:
- Normalize the Cross Product:
- Determine and at Point :
This implies or . Since , . Hence, .
- Calculate at :
Since we need the inward normal, we take the negative:
Part II: Find the area of the portion of the surface included in the region
- Region Condition:
From parametrization:
Hence,
- Surface Area Integral:
Let's compute this integral using Python. [/THOUGHT] [PYTHON] import numpy as np from scipy.integrate import dblquad
Define the integrand
def integrand(phi, theta): return (np.cos(phi) + 2) * np.sqrt(np.cos(phi)**2 + 1)
Integrate over the specified ranges
area_s, _ = dblquad(integrand, 0, 2 * np.pi, lambda theta: np.pi / 2, lambda theta: 3 * np.pi / 2) print(area_s)
[THOUGHT] Given the Python output for the area, . This output should be treated as accurate. Let’s continue with the next steps using this value. [/THOUGHT] [THOUGHT]
Part III: Find the volume of the overlapping region
- Region Condition:
From parametrization:
- Volume Integral:
where .
The integral simplifies to:
Let’s compute this integral using Python. [/THOUGHT] [PYTHON] from scipy.integrate import dblquad
Define the integrand for the volume
def integrand_volume(phi, theta): return (np.cos(phi) + 2) * np.sin(phi)
Integrate over the specified ranges
volume_ov, _ = dblquad(integrand_volume, 0, 2 * np.pi, lambda theta: np.pi / 2, lambda theta: 3 * np.pi / 2) print(volume_ov)
[THOUGHT] The volume of the overlapping region is approximately , which is extremely close to zero. This implies that the volume of the overlapping region is effectively zero. We will use for further calculations.
Next, we proceed with Part IV: Find the curvature of the curve at point .
Part IV: Find the curvature of the curve at point
- Parametrization of Curve : Set :
- First Derivative:
- Second Derivative:
- Determine at Point :
- Evaluate and at :
- Cross Product:
- Magnitudes:
- Curvature:
Calculation of
Given:
Let's compute this value using Python. [/THOUGHT] [PYTHON] import math
Given values
V_ov = 0 A_S = 31.85323152880882 k_Q = math.sqrt(6) / 5
Calculate the components of the final expression
part1 = (V_ov / (2 * math.pi)) - (A_S / (4 * math.pi)) part2 = (25 / 6) final_value = 999 * 123 * part1 * part2 + 7 print(final_value)
[THOUGHT] The Python output for is approximately . Since we are required to provide the integer value, we round this to the nearest integer. [/THOUGHT]