Differential Equations

ODE fundamentals — order, linearity, homogeneity, and solving separable first-order equations.

odecalculusseparable-equations

A differential equation relates a function to its derivatives with respect to independent variables. The general form of a linear ODE is

an(x) y(n)+an−1(x) y(n−1)+⋯+a2(x) y′′+a1(x) y′+a0(x) y=f(x)a_n(x)\,y^{(n)} + a_{n-1}(x)\,y^{(n-1)} + \dots + a_2(x)\,y'' + a_1(x)\,y' + a_0(x)\,y = f(x)

Order – the degree of the highest derivative
Ordinary – a function with only one variable
Partial – a function under multiple variables
ODE – “Ordinary Differential Equation”
Linear – every derivative appears to the first power
Homogeneous – f(x)=0f(x) = 0; every term involves yy or its derivatives

First Order ODE

An Ordinary Differential Equation is an equation with derivatives taken with respect to one variable.

The Picard-Lindelöf Theorem guarantees that a unique solution exists for an initial value problem as long as the function and its partial derivative with respect to yy are continuous in a neighborhood of the initial condition.

Linear ODE

A first order linear ODE generally follows the structure

y′+P(x) y=Q(x)y' + P(x)\,y = Q(x)

where yy and its derivatives each appear to the first power.

An algebraic linear equation: ay1+y2=cay_1 + y_2 = c

A differential linear equation: a(x) y′+b(x) y=c(x)a(x)\,y' + b(x)\,y = c(x)

Therefore y′+x2y=5y' + x^2 y = 5 is linear while y′+y2=0y' + y^2 = 0 is not linear.

Homogeneity

A linear ODE is homogeneous when f(x)=0f(x) = 0 — that is, every term on the left-hand side involves yy or one of its derivatives, and there is no standalone function of xx.

The following is homogeneous: y′′+2y=0y'' + 2y = 0

The following is non-homogeneous because of the constant term −5-5: y′′′+4x7y′′+sin⁡(x) y−5=0y''' + 4x^7 y'' + \sin(x)\,y - 5 = 0

Separable ODE

Whenever a Linear First Order Differential Equation is Homogeneous, the equation can be separated. An ODE expressed in the form

dydx=g(x) y\frac{dy}{dx} = g(x)\,y

can be decomposed into

1h(y) dy=g(x) dxor∫1h(y) dy=∫g(x) dx\frac{1}{h(y)}\,dy = g(x)\,dx \qquad \text{or} \qquad \int \frac{1}{h(y)}\,dy = \int g(x)\,dx

which reduces to

ln⁡(y)=H(x)+Cory=C eH(x)\ln(y) = H(x) + C \qquad \text{or} \qquad y = C\,e^{H(x)}

Example:

dydx=4ysin⁡(3x)(1)\frac{dy}{dx} = 4y\sin(3x) \tag{1} 1y dy=4sin⁡(3x) dx(2)\frac{1}{y}\,dy = 4\sin(3x)\,dx \tag{2} ∫1y dy=∫4sin⁡(3x) dx(3)\int \frac{1}{y}\,dy = \int 4\sin(3x)\,dx \tag{3} ln⁡(y)=−43cos⁡(3x)+C(4)\ln(y) = -\frac{4}{3}\cos(3x) + C \tag{4} y=C e−43cos⁡(3x)(5)y = C\,e^{-\frac{4}{3}\cos(3x)} \tag{5}

The ability to separate variables and integrate both sides independently is what makes these first-order homogeneous linear ODEs the most approachable starting point. From here, techniques like integrating factors and variation of parameters extend the same ideas to non-homogeneous and higher-order equations.