Problem Analysis #6

20.82s
5,060 toks
Problem Statement

Seven natural numbers a,b,c,d,e,f,ga,b,c,d,e,f,g satisfy

p1=a+b+c+d+e+f+g=58,p2=a2+b2+c2+d2+e2+f2+g2=666,p3=8944,p4=129846,p5=1972408,p6=30870006,p7=493478344.\begin{aligned} &p_1=a+b+c+d+e+f+g=58,\\ &p_2=a^2+b^2+c^2+d^2+e^2+f^2+g^2=666,\\ &p_3=8944,\quad p_4=129846,\quad p_5=1972408,\quad p_6=30870006,\quad p_7=493478344. \end{aligned}

A faulty mutation appends h=10h=10. Let

P12=a12+b12+c12+d12+e12+f12+g12+h12.P_{12}=a^{12}+b^{12}+c^{12}+d^{12}+e^{12}+f^{12}+g^{12}+h^{12}.

Compute P12P_{12}.

Ground Truth
610072836692326
Execution Trace
Reasoning Process

[THOUGHT] I will use Newton's identities to obtain the elementary symmetric sums e1..e7 from the given power sums p1..p7 of a..g. These will define the monic polynomial with roots a..g. Then I'll use the induced linear recurrence on power sums s_n = a^n+...+g^n to compute s_8 through s_12. Finally, I'll add 10^12 to s_12 to get P_12. [/THOUGHT] [PYTHON] from sympy import symbols, Eq, solve

Given power sums for a..g

p = { 1: 58, 2: 666, 3: 8944, 4: 129846, 5: 1972408, 6: 30870006, 7: 493478344 }

Unknown elementary symmetric sums e1..e7

e_symbols = symbols('e1:8') # e1,e2,...,e7 e1,e2,e3,e4,e5,e6,e7 = e_symbols

eqs = []

Newton's identities for k=1..7

p1 - e1 = 0

eqs.append(Eq(p[1] - e1, 0))

p2 - e1p1 + 2e2 = 0

eqs.append(Eq(p[2] - e1p[1] + 2e2, 0))

p3 - e1p2 + e2p1 - 3*e3 = 0

eqs.append(Eq(p[3] - e1p[2] + e2p[1] - 3*e3, 0))

p4 - e1p3 + e2p2 - e3p1 + 4e4 = 0

eqs.append(Eq(p[4] - e1p[3] + e2p[2] - e3p[1] + 4e4, 0))

p5 - e1p4 + e2p3 - e3p2 + e4p1 - 5*e5 = 0

eqs.append(Eq(p[5] - e1p[4] + e2p[3] - e3p[2] + e4p[1] - 5*e5, 0))

p6 - e1p5 + e2p4 - e3p3 + e4p2 - e5p1 + 6e6 = 0

eqs.append(Eq(p[6] - e1p[5] + e2p[4] - e3p[3] + e4p[2] - e5p[1] + 6e6, 0))

p7 - e1p6 + e2p5 - e3p4 + e4p3 - e5p2 + e6p1 - 7*e7 = 0

eqs.append(Eq(p[7] - e1p[6] + e2p[5] - e3p[4] + e4p[3] - e5p[2] + e6p[1] - 7*e7, 0))

solution = solve(eqs, e_symbols, dict=True) solution print(solution)

Extract e1..e7 as integers

sol = solution[0] e_vals = [sol[e] for e in e_symbols] print("e values:", e_vals)

Now use recurrence s_n = e1s_{n-1} - e2s_{n-2} + e3s_{n-3} - e4s_{n-4} + e5s_{n-5} - e6s_{n-6} + e7*s_{n-7} for n>=7

s = {} for k in range(1,8): s[k] = p[k]

e1_val,e2_val,e3_val,e4_val,e5_val,e6_val,e7_val = e_vals

for n in range(8,13): s[n] = (e1_vals[n-1] - e2_vals[n-2] + e3_vals[n-3] - e4_vals[n-4] + e5_vals[n-5] - e6_vals[n-6] + e7_val*s[n-7]) print(f"s_{n} =", s[n])

Now compute P_12 = s_12 + 10^12

P12 = s[12] + 10**12 print("P12 =", P12)

Tool Output
[PYTHON OUTPUT] [{e1: 58, e2: 1349, e3: 16186, e4: 107315, e5: 390238, e6: 716167, e7: 510510}] e values: [58, 1349, 16186, 107315, 390238, 716167, 510510] s_8 = 8012009286 s_9 = 131592650488 s_10 = 2180082117846 s_11 = 36351394706344 s_12 = 609072836692326 P12 = 610072836692326 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] Using Newton's identities, I computed the elementary symmetric sums and then applied the induced linear recurrence to get (s_{12} = a^{12}+\cdots+g^{12} = 609072836692326). Adding (h^{12} = 10^{12}) gives (P_{12} = 610072836692326). [/THOUGHT] \boxed{610072836692326}

Final Model Output
610072836692326

Comparative Analysis (P6) (Average across runs)

Avg Time Taken

Gemini-3-Pro-Preview
154.5
Grok-4.1-fast
152.2
Deepseek-V3.2
75.5
GPT-5.1 (high)
33.9
Claude-Opus-4.5
24.0

Avg Token Usage

Grok-4.1-fast
36885.0
Gemini-3-Pro-Preview
11914.7
Claude-Opus-4.5
9094.0
GPT-5.1 (high)
6007.3
Deepseek-V3.2
4748.7