
Differential equations are mathematical equations that relate functions to their derivatives, modeling rates of change in physical systems.A differential equation is a compass for a moving world. It tells us not where we are, but where we are going and how fast, depending on our surroundings. Solving it means reconstructing the entire route from instantaneous clues. Such equations can be ordinary (with one independent variable, such as time) or partial (with many variables, as in describing a vibrating string). They underlie everything: from a ball's trajectory to the dynamics of galaxies.
The origins lie in the 17th century, when Isaac Newton and Gottfried Leibniz independently created differential and integral calculus. Newton formulated the second law of motion as a differential equation. In the 18th century, Leonhard Euler, Joseph-Louis Lagrange, and Pierre-Simon Laplace developed methods for solving broad classes of equations, especially in celestial mechanics. The 19th century brought the theory of partial differential equations: Jean Baptiste Joseph Fourier—the heat equation, James Clerk Maxwell—electrodynamics. In the 20th century, Henri Poincaré's qualitative theory and functional analysis made it possible to study solvability and stability even without explicit formulas.
Consider a first-order ODE dy/dx = f(x, y). Geometrically, this equation defines a direction field on the plane: at each point (x, y), the slope of a small segment equals f(x, y). An integral curve passing through a given initial point must be tangent to this field at every point. The simplest solution method is separation of variables, if f(x, y) factorizes. For linear ODEs with constant coefficients, solutions are sought as exponentials; multiple roots of the characteristic equation lead to resonant terms of the form x e^{λx}. Partial differential equations require more delicate techniques: separation of variables, Green's functions, Fourier transforms. The well-posedness of a problem (existence, uniqueness, stability of the solution) is established by theorems, such as the Cauchy–Kovalevskaya theorem for analytic PDEs or the Galerkin method for weak solutions. Numerical methods (finite differences, finite elements) allow approximating solutions with controlled accuracy.
Differential equations describe how coffee cools, populations grow, and signals propagate in neurons.
Schrödinger's equation is a differential equation that governs the behavior of quantum particles. It is as fundamental to the microworld as Newton's laws are to the planets.
| f''(x) | variable | Second derivative of function f at x — second derivative per metre squared |
| f(x+h) | variable | Function value at x+h — function value |
| f(x-h) | variable | Function value at x-h — function value |
| f(x) | variable | Function value at x — function value |
| h | variable | Step size — spacing metre |
| \approx | operator | Approximately equal to — approximation |










