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Differential Equations Review

You’ve made it through the entire Differential Equations course. This review spans everything: direction fields, separable and exact equations, growth and decay models, mixing problems, second-order equations (homogeneous and nonhomogeneous), Laplace transforms, systems, phase plane analysis, numerical methods, and spring-mass applications.

That’s a lot of ground. You’ve gone from “what even is a differential equation?” to modeling real physical systems with multiple interacting components. If you can pass this review, you genuinely understand the subject.

Aim for 15 out of 20 to pass. Take your time. Sketch a direction field or write out the characteristic equation if you’re stuck on a question. The techniques are all connected, and sometimes the best way to remember a formula is to re-derive it quickly from first principles.

A differential equation is called separable if it can be written as:
The integrating factor for $\frac{dy}{dx} + P(x)y = Q(x)$ is:
An equation $M\,dx + N\,dy = 0$ is exact when:
The solution to $\frac{dP}{dt} = kP$ is:
Newton's Law of Cooling is modeled by:
For the characteristic equation $r^2 + 6r + 13 = 0$, the roots are:
The general solution for complex roots $\alpha \pm \beta i$ is:
In undetermined coefficients, we multiply the guess by $x$ when:
Variation of parameters is more general because:
$\mathcal{L}\{f'(t)\}$ equals:
A second-order ODE is converted to a system by setting:
In a phase portrait, a saddle point occurs when eigenvalues:
Euler's method uses the update rule:
The spring-mass equation is:
Critically damped motion occurs when:
Laplace transforms are especially useful for:
In a direction field, horizontal line segments indicate:
For the logistic equation, as $t \to \infty$ the population approaches:
The Wronskian is used in:
Which tool handles irregular forcing functions best?