second-order-odes
Provides mathematical strategies and code tools to solve second-order ordinary differential equations.
Install
mkdir -p .claude/skills/second-order-odes && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8413" && unzip -o skill.zip -d .claude/skills/second-order-odes && rm skill.zipInstalls to .claude/skills/second-order-odes
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Problem-solving strategies for second order odes in odes pdesKey capabilities
- →Classify second-order ODEs
- →Solve homogeneous constant coefficient equations
- →Compute particular solutions
- →Perform numerical integration
- →Solve boundary value problems
How it works
It classifies the ODE type and applies specific mathematical strategies like characteristic equations or numerical solvers via Scipy and Sympy.
Inputs & outputs
When to use second-order-odes
- →Solve constant coefficient homogeneous equations
- →Compute particular solutions for non-homogeneous ODEs
- →Solve boundary value problems using the shooting method
- →Convert second-order ODEs to first-order systems
About this skill
Second Order Odes
When to Use
Use this skill when working on second-order-odes problems in odes pdes.
Decision Tree
-
Classify the ODE
- Constant coefficients: ay'' + by' + cy = f(x)?
- Variable coefficients: y'' + P(x)y' + Q(x)y = R(x)?
- Cauchy-Euler: x^2 y'' + bxy' + cy = 0?
-
Homogeneous with Constant Coefficients
- Characteristic equation: ar^2 + br + c = 0
- Distinct real roots: y = c1e^{r1x} + c2e^{r2x}
- Repeated root: y = (c1 + c2x)e^{rx}
- Complex roots a +/- bi: y = e^{ax}(c1cos(bx) + c2sin(bx))
sympy_compute.py solve "a*r**2 + b*r + c" --var r
-
Particular Solution (Non-homogeneous)
- Undetermined coefficients: guess based on f(x)
- Variation of parameters: y_p = u1y1 + u2y2
sympy_compute.py dsolve "y'' + y = sin(x)"
-
Numerical Solution
- Convert to first-order system: let v = y', then v' = y''
solve_ivp(system, [t0, tf], [y0, v0])
-
Boundary Value Problems
- Shooting method: guess initial slope, iterate
scipy.integrate.solve_bvp(ode, bc, x, y_init)
Tool Commands
Scipy_Solve_Ivp_System
uv run python -c "from scipy.integrate import solve_ivp; sol = solve_ivp(lambda t, Y: [Y[1], -Y[0]], [0, 10], [1, 0]); print('y(10) =', sol.y[0][-1])"
Sympy_Charpoly
uv run python -m runtime.harness scripts/sympy_compute.py solve "r**2 + r + 1" --var r
Sympy_Dsolve_2Nd
uv run python -m runtime.harness scripts/sympy_compute.py dsolve "Derivative(y,x,2) + y"
Key Techniques
From indexed textbooks:
- [An Introduction to Numerical Analysis... (Z-Library)] Modern Numerical Methods for Ordinary Wiley, New York. User's guide for DVERK: A subroutine for solving non-stiff ODEs. Keller (1966), Analysis of Numerical Methods.
- [Elementary Differential Equations and... (Z-Library)] Riccati equation and that y1(t) = 1 is one solution. Use the transformation suggested in Problem 33, and nd the linear equation satised by v(t). Find v(t) in the case that x(t) = at, where a is a constant.
- [An Introduction to Numerical Analysis... (Z-Library)] Test results on initial value methods for non-stiff ordinary differential equations, SIAM J. Comparing numerical methods for Fehlberg, E. Klassische Runge-Kutta-Formeln vierter und niedrigerer Ordnumg mit Schrittweiten-Kontrolle und ihre Anwendung auf Warme leitungsprobleme, Computing 6, 61-71.
- [Elementary Differential Equations and... (Z-Library)] Two papers by Robert May cited in the text are R. May,“Biological Populations with Nonoverlapping Generations: Stable Points, Stable Cycles, and Chaos,” Science 186 (1974), pp. Biological Populations Obeying Difference Equations: Stable Points, Stable Cycles, and Chaos,” Journal of Theoretical Biology 51 (1975), pp.
- [An Introduction to Numerical Analysis... (Z-Library)] COLSYS: collocation software for boundary-value ODEs, ACM Trans. Numerical Solutions of Boundary Value Problems for Ordinary Differential Equations. Elementary Differential Equations and Boundary Value Problems, 4th ed.
Cognitive Tools Reference
See .claude/skills/math-mode/SKILL.md for full tool documentation.
When not to use it
- →For first-order ODEs
- →For partial differential equations
Prerequisites
Limitations
- →Requires classification before solving
- →Numerical methods require conversion to first-order systems
How it compares
It automates the classification and selection of resolution strategies compared to manual derivation.
Compared to similar skills
second-order-odes side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| second-order-odes (this skill) | 0 | 7mo | Review | Advanced |
| literature-review | 559 | 2mo | Review | Advanced |
| openalex-database | 48 | 7mo | Review | Intermediate |
| scientific-critical-thinking | 18 | 7mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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