Problem-solving strategies for integration theory in measure theory
Use this skill when working on integration-theory problems in measure theory.
Simple function integration
sympy_compute.py simplify "simple_integral"Monotone Convergence Theorem (MCT)
Dominated Convergence Theorem (DCT)
z3_solve.py prove "dominated_convergence"Fatou's Lemma
Fubini-Tonelli
uv run python -m runtime.harness scripts/sympy_compute.py integrate "sum(a_i * chi_E_i)" --var mu
uv run python -m runtime.harness scripts/z3_solve.py prove "f_n_increasing implies lim_integral_equals_integral_lim"
uv run python -m runtime.harness scripts/z3_solve.py prove "abs(f_n) <= g and g_integrable implies limit_exchange"
uv run python -m runtime.harness scripts/sympy_compute.py limit "liminf(integral_f_n)" --comparison "integral_liminf_f_n"
From indexed textbooks:
See .claude/skills/math-mode/SKILL.md for full tool documentation.