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๐ŸงฎHistory of Mathematics Unit 14 Review

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14.2 Development of differential equations and variational principles

๐ŸงฎHistory of Mathematics
Unit 14 Review

14.2 Development of differential equations and variational principles

Written by the Fiveable Content Team โ€ข Last updated September 2025
Written by the Fiveable Content Team โ€ข Last updated September 2025
๐ŸงฎHistory of Mathematics
Unit & Topic Study Guides

The 18th century saw the birth of differential equations, a powerful tool for modeling real-world phenomena. Mathematicians like Euler developed methods to solve these equations, paving the way for advancements in physics and engineering.

Variational principles emerged as a way to find optimal solutions in complex systems. These principles, including the Euler-Lagrange equation and Hamilton's principle, revolutionized classical mechanics and laid the groundwork for modern physics.

Differential Equations

Types and Classifications of Differential Equations

  • Ordinary differential equations involve functions of one independent variable and their derivatives
  • Partial differential equations contain functions of multiple independent variables and their partial derivatives
  • Boundary value problems require solutions to satisfy specific conditions at the boundaries of a domain
  • Initial value problems necessitate solutions to meet given initial conditions at a particular point
  • Separation of variables technique solves differential equations by separating variables to integrate both sides independently

Methods and Applications

  • Ordinary differential equations model systems changing over time (population growth)
  • Partial differential equations describe phenomena varying in multiple dimensions (heat distribution in a solid)
  • Boundary value problems apply to steady-state scenarios (temperature distribution in a metal rod with fixed end temperatures)
  • Initial value problems represent dynamic systems with known starting conditions (projectile motion with given initial velocity)
  • Separation of variables simplifies complex equations into solvable components (solving the heat equation in one dimension)

Variational Principles

Fundamental Concepts and Equations

  • Calculus of variations optimizes functionals, which are functions of functions
  • Euler-Lagrange equation derives from minimizing or maximizing functionals in variational problems
  • Hamilton's principle states that the path of a physical system minimizes the action integral
  • D'Alembert's solution provides a general form for solutions to the one-dimensional wave equation

Applications in Physics and Engineering

  • Calculus of variations solves optimization problems in physics and engineering (finding the shape of a soap film between two rings)
  • Euler-Lagrange equation determines equations of motion in classical mechanics (deriving the motion of a pendulum)
  • Hamilton's principle unifies various formulations of classical mechanics and extends to quantum mechanics
  • D'Alembert's solution describes wave propagation in strings and other media (modeling vibrations in a guitar string)