Let be a point in the first quadrant on the curveand let be a point in the first quadrant on the curveThe reflection of across the line lies on the line , where is the origin, and the midpoint of segment has coordinatesIfwhere and are coprime natural numbers, compute . [4 points]ewpage\
[THOUGHT] Let me analyze this problem step by step.
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Point is on the curve , so .
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Point is on the curve .
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The reflection of across the line is the point . This point lies on the line (the line through the origin and ).
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The midpoint of segment is .
Let me denote where .
From the midpoint condition:
- , so
- , so
The reflection lies on line , which has slope . So: , which means .
Let me also note that and might be inverse functions.
Let me check: If , then , so .
For the inverse: .
Hmm, let me check if is the inverse.
If , then , so .
Then .
So the inverse of is .
But we have . Let me convert: .
These aren't quite inverses. Let me solve this system numerically. [/THOUGHT] [PYTHON] from sympy import symbols, log, solve, Rational, Eq, simplify, nsimplify
Define variables
a, b, c, d = symbols('a b c d', real=True, positive=True)
Equations:
1. b = log_16(8a + 2)
2. d = 4^(c-1) - 1/2
3. a + c = 77/4
4. b + d = 133/4
5. ac = bd (from reflection condition)
Let's express everything in terms of a and b
c = 77/4 - a
d = 133/4 - b
From equation 1: 16^b = 8a + 2, so a = (16^b - 2)/8
From equation 2: d + 1/2 = 4^(c-1), so 4^(c-1) = 133/4 - b + 1/2 = 135/4 - b
Let me set up the equations properly
from sympy import log, exp, Rational, symbols, solve, Eq, simplify
a, b = symbols('a b', real=True, positive=True)
c and d in terms of a and b
c = Rational(77, 4) - a d = Rational(133, 4) - b
Equation 1: b = log_16(8a + 2)
This means 16^b = 8a + 2
eq1 = Eq(16**b, 8*a + 2)
Equation 2: d = 4^(c-1) - 1/2
d + 1/2 = 4^(c-1)
eq2 = Eq(d + Rational(1, 2), 4**(c - 1))
Equation 3: ac = bd
eq3 = Eq(a * c, b * d)
Substitute c and d
eq2_sub = eq2.subs([(c, Rational(77, 4) - a), (d, Rational(133, 4) - b)]) eq3_sub = eq3.subs([(c, Rational(77, 4) - a), (d, Rational(133, 4) - b)])
print("Equation 1:", eq1) print("Equation 2 (substituted):", eq2_sub) print("Equation 3 (substituted):", eq3_sub) [/PYTHON]
[THOUGHT] Let me continue solving this system of equations numerically to find the values of a and b. [/THOUGHT] [PYTHON] from sympy import symbols, solve, Eq, Rational, nsolve, log, N import numpy as np from scipy.optimize import fsolve
Define the system of equations numerically
def equations(vars): a, b = vars c = 77/4 - a d = 133/4 - b
# eq1: 16^b = 8a + 2
eq1 = 16**b - (8*a + 2)
# eq2: d + 1/2 = 4^(c-1)
eq2 = (d + 0.5) - 4**(c - 1)
# eq3: a*c = b*d
eq3 = a*c - b*d
return [eq1, eq3] # We have 2 unknowns, need 2 equations
But we have 3 equations and 2 unknowns - let me check which two to use
Actually eq1 and eq2 should determine a and b, and eq3 should be automatically satisfied
def equations_v2(vars): a, b = vars c = 77/4 - a d = 133/4 - b
# eq1: 16^b = 8a + 2
eq1 = 16**b - (8*a + 2)
# eq2: d + 1/2 = 4^(c-1)
eq2 = (d + 0.5) - 4**(c - 1)
return [eq1, eq2]
Initial guess
initial_guess = [5, 2] solution = fsolve(equations_v2, initial_guess, full_output=True) a_sol, b_sol = solution[0] print(f"a = {a_sol}, b = {b_sol}")
Verify the solution
c_sol = 77/4 - a_sol d_sol = 133/4 - b_sol print(f"c = {c_sol}, d = {d_sol}")
Check all equations
print(f"Check eq1: 16^b = {16b_sol}, 8a+2 = {8*a_sol + 2}") print(f"Check eq2: d + 0.5 = {d_sol + 0.5}, 4^(c-1) = {4(c_sol - 1)}") print(f"Check eq3: ac = {a_sol * c_sol}, bd = {b_sol * d_sol}")
Calculate a * b
ab = a_sol * b_sol print(f"a * b = {ab}") [/PYTHON]
[THOUGHT] The numerical solution gives us approximately:
- a = 15.75 = 63/4
- b = 1.75 = 7/4
Let me verify: a × b = (63/4) × (7/4) = 441/16
So p = 441 and q = 16. Let me check if they are coprime: 441 = 21² = 9 × 49 = 3² × 7², and 16 = 2⁴. They share no common factors, so they are coprime.
Therefore p + q = 441 + 16 = 457. [/THOUGHT]
\boxed{457}