Calculus of Variations Intro
Find functions that optimise integrals; Euler–Lagrange equation.
Key idea
Find functions that optimise integrals; Euler–Lagrange equation.
In depth
Instead of optimising a number, you optimise a functional, such as the length of a path. The Euler–Lagrange equation d/dx(∂L/∂y′) = ∂L/∂y determines the best function. Shortest path in a plane is a straight line.
Worked example
For L = √(1 + y′²), the equation forces y′ constant, so straight lines.
Real-world uses
- Finding the shortest path or the shape of a hanging chain in physics and optimal design
Common mistake
Treating y as a variable rather than a function.
How to learn this
- Read the key idea and say it in your own words.
- Work through the worked example, then try a similar problem.
- Use the interactive lesson’s visual and mini-quiz to check the pattern.
Frequently asked questions
What is Calculus of Variations Intro?
Find functions that optimise integrals; Euler–Lagrange equation. It is a topic at the expert level in Calculus.
Where is Calculus of Variations Intro used in real life?
Real-world examples: Finding the shortest path or the shape of a hanging chain in physics and optimal design.
What should I learn before Calculus of Variations Intro?
Make sure you are comfortable with Gaussian Integral, the previous topic in Calculus.
What is a common mistake with Calculus of Variations Intro?
Treating y as a variable rather than a function.
How can I practise Calculus of Variations Intro?
Open the interactive lesson, play with the visual, then answer the three-question mini-quiz. Getting two right marks the topic complete.
Related expert topics in Calculus
- Derivatives of Inverse Trig – Derivatives of arcsin, arccos, arctan.
- Implicit Differentiation – Differentiate both sides of F(x,y)=0 treating y as a function of x.
- Logarithmic Differentiation – Take logs before differentiating products and powers.
- Related Rates – Link rates of change of connected quantities.
- Linear Approximation – Approximate f near a using its tangent line.
- Differentials – Use dy = f′(x)dx for small changes.