Calculus of variations basic question

In summary, the author is trying to explain that if you find the path of least action, the deviation is only second order.
  • #1
alsey42147
22
0
this is one of those things that looks like it should be really simple but for some reason i just don't get it :confused: I've looked at a few books and they all start explaining calculus of variations in the same way.

i'll quote a paragraph from feynmann lectures II (concerning finding the path of least action) just to illustrate my problem:

"When we have a quantity which has a minimum - for instance, in an ordinary function like temperature - one of the properties of the minimum is that if we go away from the minimum in the first order, the deviation of the function from its minimum value is only second order. At any place else on the curve, if we move a small distance the value of the function changes also in the first order. But at a minimum, a tiny motion away makes, in the first approximation, no difference."

now, what is meant by first and second order in this context? i honestly don't get what is meant here. surely if you move away from the minimum of a function, the function changes according to itself. e.g. if f(x) = x^2, then if you move away from the minimum x=0 in the x-direction, f(x) changes by x^2. so what is meant by nothing changing in the first order?
 
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  • #2
alsey42147 said:
now, what is meant by first and second order in this context?
Here is the Taylor series for the function f(x) about a point a.

f(x) = f(a) + f'(a)(x - a) + (1/2)f"(a)(x-a)^2 + ...

so the deviation is:
f(x) - f(a) = f'(a)(x - a) + (1/2)f"(a)(x-a)^2 + ...

(x-a) is the first order and therefor so is f'(a)(x - a)
(x-a)^2 is of second order and therefor so is (1/2)f"(a)(x-a)^2
The rest of the terms (denoted ...) are of third order and higher.

If f'(a) = 0 ( a property of the minimum), then
f(x) - f(a) = (1/2)f"(a)(x-a)^2 + ...
so the deviation is of second order.
 
Last edited:
  • #3
thanks, that makes a lot more sense!
 

1. What is the basic concept of calculus of variations?

The calculus of variations is a branch of mathematics that deals with finding the optimal solution for a functional, which is a mathematical expression that maps a set of input functions to a single output value. In other words, it is concerned with finding the function that minimizes or maximizes a given functional.

2. What are the main applications of calculus of variations?

The calculus of variations has many practical applications in fields such as physics, engineering, economics, and biology. It is used to solve problems involving optimization, such as finding the path of least resistance, the shortest path between two points, or the shape of a hanging chain.

3. How is calculus of variations related to calculus?

Calculus of variations is an extension of traditional calculus, specifically the branch of mathematics known as the calculus of a single variable. While calculus deals with optimizing functions of one or more variables, the calculus of variations extends this concept to functions of infinite dimensions, such as curves and surfaces.

4. What are the basic principles of calculus of variations?

The two main principles of calculus of variations are the Euler-Lagrange equation and the fundamental lemma of the calculus of variations. The Euler-Lagrange equation is used to find the function that minimizes or maximizes a given functional, while the fundamental lemma provides a necessary condition for a function to be a solution to a given problem.

5. How is calculus of variations used in real-world problems?

Calculus of variations is used in a variety of real-world problems, such as finding the optimal shape of a bridge or the trajectory of a rocket. It is also used in economics to optimize production and minimize costs, and in biology to model the behavior of organisms and ecosystems. Additionally, calculus of variations is used in the field of control theory to design optimal control systems.

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