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Problem-solving strategies for operator theory in functional analysis
Passed 20 of 21 test cases with the skill, and 15 of 21 without it.
and 2 more in the full report
5 fixed16 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
When running sympy_compute.py to evaluate the limit of ||T - T_n|| for compact operator approximation, what argument flag specifies the limit destination point infinity?
| Checked | Without skill | With skill |
|---|---|---|
| Includes the --at oo flag in the command invocation | Missed | Passed |
The instructions your model reads when the skill loads.
Use this skill when working on operator-theory problems in functional analysis.
Bounded operator verification
z3_solve.py prove "operator_bounded"Adjoint operator
sympy_compute.py simplify "<Tx, y> - <x, T*y>"Spectral Theory
z3_solve.py prove "self_adjoint_real_spectrum"Compact operators
sympy_compute.py limit "||T - T_n||" --var nSpectral Theorem
uv run python -m runtime.harness scripts/z3_solve.py prove "norm(Tx) <= M*norm(x)"
test cases passed, vs 15 / 21 without
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