First-Order Equations
A first-order ordinary differential equation in normal form is an equation
Let be a first-order equation. The equation is separable if and only if is a product of a function of and a function of
Let be a separable equation. Where the equation is and by the chain rule and the second fundamental theorem of calculus a differentiable solves it if and only if
where the left-hand side is an antiderivative of evaluated at This defines implicitly up to a constant of integration. Separable equations have the following properties:
- each zero of gives the constant solution
- if and are continuous and is then solutions through points with are unique and never reach a zero of
Let The equation is separable with solutions The solutions grow exponentially when and decay exponentially when
Let be an interval and be continuous. A first-order linear equation is an equation of the form
Let be a first-order linear equation on and be an antiderivative of on The integrating factor of the equation is the function which satisfies By the product rule the equation multiplied by is and integrating gives the general solution on
First-order linear equations have the following properties:
- the general solution is the sum of a particular solution and the general solution of the homogeneous equation
- every initial value problem with has exactly one solution, which exists on all of
For example, on has and general solution
Let be continuous on an interval and The Bernoulli equation is the non-linear equation The substitution turns the Bernoulli equation into the linear equation
Let be a function of one variable. A homogeneous equation of degree zero is an equation of the form The substitution turns it into the separable equation
Let be open and be with The differential form of the equation is
Let be an equation in differential form on The equation is exact on if and only if the vector field is conservative on that is, if and only if there exists a potential with and where subscripts denote partial derivatives. By the chain rule the solutions of an exact equation are the level sets of the potential,
and each level set defines a solution implicitly wherever
Let be an equation in differential form on The exactness condition is the equation on Exact equations have the following properties:
- an exact equation satisfies the exactness condition, by Schwarz’s theorem;
- if is simply connected then an equation satisfying the exactness condition is exact, since every irrotational field on a simply connected set is conservative;
- the potential is found by integrating with respect to with a constant of integration that is a function of and fixing that function from
For example, is exact with
Let be an equation in differential form that is not exact. An integrating factor of the equation is a function such that the equation multiplied by is exact, which requires Integrating factors have the following properties:
- if depends on alone then is an integrating factor;
- if depends on alone then is an integrating factor;
- a linear equation written as has which recovers its integrating factor
Let be a function on an interval. A first-order autonomous equation is an equation whose right-hand side does not depend on
A first-order autonomous equation is separable.
Let be a first-order autonomous equation. An equilibrium point or critical point of the equation is a zero of The constant function is an equilibrium solution. Autonomous equations have the following properties:
- by uniqueness, no other solution reaches an equilibrium point;
- between consecutive equilibrium points every solution is strictly monotonic, increasing where and decreasing where
- every solution converges to an equilibrium point or diverges as
Let be a first-order autonomous equation. The phase line of the equation is the record of its equilibrium points and the sign of between them, which determines the direction of every solution.
Let be a first-order autonomous equation and be an equilibrium point. The equilibrium point is stable if and only if every solution that starts sufficiently close to stays close to it for all
The equilibrium point is asymptotically stable if and only if it is stable and every solution that starts sufficiently close to converges to it as The equilibrium point is unstable if and only if it is not stable. On the phase line, an equilibrium point is asymptotically stable if changes sign from positive to negative at it and unstable if changes sign from negative to positive.
Let be a first-order autonomous equation and be an equilibrium point. The linearisation of the equation at is the linear equation for the deviation whose solutions are
Let be a first-order autonomous equation and be an equilibrium point. The linearisation criterion states that is asymptotically stable if and unstable if If the criterion is inconclusive: has an asymptotically stable equilibrium at and has an unstable one.
Let be a first-order autonomous equation and be an equilibrium point. The equilibrium point is semi-stable if and only if it attracts solutions from one side and repels them from the other, such as for
Let and The logistic equation is the autonomous equation
with solution for the initial value The number is the growth rate and is the carrying capacity. The logistic equation has the following properties:
- its equilibrium points are which is unstable since and which is asymptotically stable since
- every solution with converges to