In the two-dimensional orthogonal coordinate system, consider the curve represented by the following equations with the parameter (0 $$\leq$$ t $$\leq$$ 2$$\pi$$$). Here, a$ is a positive real constant.\begin{align}x(t) &= a(t - \sin t), \\y(t) &= a(1 - \cos t).\end{align}
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[(I-1)] Obtain the length of the curve when varies in the range $0 t 2$$\pi$$$.
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[(I-2)] For 0 < t < 2$$\pi$$$, obtain the curvature \kappa_L(t)Lxyzuvuv$ are real numbers):\begin{align}x(u, v) &= \sinh u \cos v, \\y(u, v) &= 2 \sinh u \sin v, \\z(u, v) &= 3 \cosh u.\end{align}
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[(II-1)] Express the curved surface by an equation without the parameters and .
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[(II-2)] Sketch the -plane view at and the -plane view at , respectively, of the curved surface. In the sketches, indicate the values at the intersections with each of the axes.
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[(II-3)] Express a unit normal vector of the curved surface by and . Here, the -component of should be positive.
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[(II-4)] Let be the Gaussian curvature at the point . Calculate the absolute value . Finally, define the following quantities:
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Let be the length of the cycloid in {\rm (I-1)}, and let be the curvature of at from {\rm (I-2)}. Define
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In {\rm (II-2)}, denote by and the - and -intercepts (respectively) of the cross-section of the surface by the plane , and by the -intercept of the cross-section by the plane . Define
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In {\rm (II-4)}, let be the absolute value of the Gaussian curvature at . Using these, defineCompute the integer .\
I will calculate the required values step-by-step using Python.
Part I: Cycloid
- Calculate the length of the cycloid for .
- Calculate the curvature .
- Compute .
Part II: Surface
- Surface: .
- At : Find .
- .
- (taking positive since ).
- .
- This is an ellipse: .
- Intercepts: .
- At : Find .
- .
- Case 1: .
- Case 2: .
- .
- Equation: .
- This is a hyperbola.
- The "z-intercept of the cross-section" is the value of when (and ).
- From the equation , if , (since ).
- So .
- Compute and .
- Compute Gaussian curvature at .
Final Calculation Compute and .
I will implement this in Python to handle the derivatives and algebra precisely.
[PYTHON] import sympy as sp
Part I: Cycloid
a, t = sp.symbols('a t', real=True, positive=True) x_t = a * (t - sp.sin(t)) y_t = a * (1 - sp.cos(t))
dx_dt = sp.diff(x_t, t) dy_dt = sp.diff(y_t, t) ddx_dt = sp.diff(dx_dt, t) ddy_dt = sp.diff(dy_dt, t)
Length
ds_sq = dx_dt2 + dy_dt2 ds = sp.sqrt(ds_sq.simplify())
ds simplifies to a * sqrt(2 - 2cos(t)) = a * sqrt(4 sin^2(t/2)) = 2a sin(t/2) for t in [0, 2pi]
L_len = sp.integrate(ds, (t, 0, 2*sp.pi))
Curvature
kappa = |x' y'' - y' x''| / (x'^2 + y'^2)^(3/2)
num = sp.Abs(dx_dt * ddy_dt - dy_dt * ddx_dt) den = (dx_dt2 + dy_dt2)**(sp.Rational(3, 2)) kappa_L = num / den kappa_pi = kappa_L.subs(t, sp.pi)
alpha = L_len * kappa_pi
print(f"L_len: {L_len}") print(f"kappa_pi: {kappa_pi}") print(f"alpha: {alpha}")
Part II: Surface
u, v = sp.symbols('u v', real=True) x_s = sp.sinh(u) * sp.cos(v) y_s = 2 * sp.sinh(u) * sp.sin(v) z_s = 3 * sp.cosh(u)
II-2: Intercepts
At z = 5
3 cosh u = 5 => cosh u = 5/3 => sinh u = sqrt(25/9 - 1) = 4/3
x = 4/3 cos v, y = 8/3 sin v
Ax is x-intercept (when y=0 => sin v=0 => cos v = +/-1 => |x| = 4/3)
A_x = sp.Rational(4, 3)
Ay is y-intercept (when x=0 => cos v=0 => sin v = +/-1 => |y| = 8/3)
A_y = sp.Rational(8, 3)
At y = 0
z-intercept is when x=0 as well (intersection with z-axis)
x=0, y=0 => sinh u = 0 => u=0 => z = 3
A_z = 3
delta = A_x * A_y * A_z rho = A_y / A_x
print(f"Ax: {A_x}, Ay: {A_y}, Az: {A_z}") print(f"delta: {delta}") print(f"rho: {rho}")
II-4: Gaussian Curvature at u=0, v=0
Define position vector r
r = sp.Matrix([x_s, y_s, z_s]) ru = r.diff(u) rv = r.diff(v) ruu = ru.diff(u) ruv = ru.diff(v) rvv = rv.diff(v)
First Fundamental Form
E = ru.dot(ru) F = ru.dot(rv) G = rv.dot(rv)
Normal vector
cross_prod = ru.cross(rv) norm_cross = sp.sqrt(cross_prod.dot(cross_prod)) n = cross_prod / norm_cross
Second Fundamental Form
L = ruu.dot(n) M = ruv.dot(n) N_coeff = rvv.dot(n) # N is taken by sympy numerical, using N_coeff
Gaussian Curvature K = (LN - M^2) / (EG - F^2)
K = (L * N_coeff - M2) / (E * G - F2)
Evaluate at u=0, v=0
Note: At u=0, sinh(u)=0, cosh(u)=1.
There might be a singularity in the formula if not simplified, specifically in n if cross_prod is 0.
Let's check cross_prod at u=0.
ru at 0,0: [11, 210, 30] = [1, 0, 0] ? Wait.
x_u = cosh u cos v. At 0,0: 1*1 = 1.
y_u = 2 cosh u sin v. At 0,0: 0.
z_u = 3 sinh u. At 0,0: 0.
ru(0,0) = [1, 0, 0]
rv at 0,0:
x_v = -sinh u sin v. At 0,0: 0.
y_v = 2 sinh u cos v. At 0,0: 0.
z_v = 0.
rv(0,0) = [0, 0, 0].
Problem: rv is zero vector at u=0. This is a coordinate singularity (pole).
The Gaussian curvature is well-defined at the vertex, but the coordinate chart is singular.
We can take the limit as u -> 0. Or use the implicit equation.
Implicit equation approach for curvature at vertex (0,0,3).
Equation: (x/1)^2 + (y/2)^2 - (z/3)^2 = -1 => -x^2 - y^2/4 + z^2/9 = 1
z = 3 * sqrt(1 + x^2 + y^2/4)
We can compute K using the Hessian of z(x,y) at x=0, y=0.
At peak/vertex, gradient is 0. K = det(Hessian).
z approx 3 * (1 + 1/2(x^2 + y^2/4)) = 3 + 3/2 x^2 + 3/8 y^2.
z_xx = 3, z_yy = 3/4, z_xy = 0.
K = z_xx * z_yy = 3 * 3/4 = 9/4?
Wait, formula for K of graph z=f(x,y) at stationary point is det(Hessian).
Let's verify with code using limit or implicit expansion.
Let's try limit of K expression as u -> 0.
K_simplified = sp.simplify(K) beta = sp.limit(sp.Abs(K_simplified), u, 0) # Limit as u->0 (v doesn't matter due to symmetry or check v=0)
print(f"beta (limit): {beta}")
Final Calculation
S = (alpha * beta * delta * rho)3 K_final = 999 * S2 + 7
print(f"S: {S}") print(f"K_final: {K_final}") [/PYTHON]
The length of the cycloid is . The curvature of the cycloid at is . Thus, .
For the surface, the intercepts are , , and . Thus, . The ratio is .
The Gaussian curvature at the vertex is .
We compute : [ S = (\alpha \beta \delta \rho)^3 = \left( 2 \cdot \frac{9}{4} \cdot \frac{32}{3} \cdot 2 \right)^3 = \left( \frac{9}{2} \cdot \frac{64}{3} \right)^3 = (3 \cdot 32)^3 = 96^3 = 884736. ]
Finally, we compute : [ \mathcal{K} = 999 S^2 + 7 = 999 (884736)^2 + 7. ] Calculating the value: [ 884736^2 = 782757789696 ] [ 999 \times 782757789696 = (1000 - 1) \times 782757789696 = 782757789696000 - 782757789696 = 781975031906304 ] [ \mathcal{K} = 781975031906304 + 7 = 781975031906311. ]
\boxed{781975031906311}