Lagrange multipliers
Lagrange multipliers
The method of Lagrange multipliers is a method for finding an optimum in a function subject to some equality constraints. As an example this method can be used to find an optmum in the function $f(x,y)$ subject to the constraint $g(x,y)=a$. This method does so by introducing a new variable $\lambda$ called a Lagrange multiplier. The extended function $L(x,y,\lambda)$ below is then introduced: $$ L(x,y,\lambda) = f(x,y) - (\lambda - a)g(x,y) $$ is then introduced. It can then be shown that the values of $x$ and $y$ in the unconstrained opimum for $L(x,y,\lambda)$ are the same as the values of $x$ and $y$ at the constrained optimum in $f(x,y)$
Syllabus Aims
- You should be able to use Lagrange's method of undetermined multipliers to perform an optimization of a $N$-dimensional function subject to $M$ constraints
Description and link | Module | Author | ||
A video explaining Lagrange's method of undetermined multipliers. | PHY9038/AMA4004 | G. Tribello |
Description and link | Module | Author | ||
Some problems that require you to use Lagrange's method of undetermined multipliers. | AMA4004 | G. Tribello |
Contact Details
School of Mathematics and Physics,
Queen's University Belfast,
Belfast,
BT7 1NN
Email: g.tribello@qub.ac.uk
Website: mywebsite