How Does Skew-Symmetry Impact Dual Function Equivalence in Variational Calculus?

In summary, the converse of the function f is equal to the original function, proving that f*(y,x) = f(x,y).
  • #1
jeremyfischer
1
0
1. Suppose f:R[tex]^{NxN}[/tex] is defined by f(x,y) = [tex]\varphi[/tex](x) + [tex]\varphi[/tex]*(Ax+y) where [tex]\varphi[/tex][tex]\epsilon[/tex][tex]\Gamma[/tex](R[tex]^{N}[/tex]) and A[tex]\epsilon[/tex]R[tex]^{NxN}[/tex] is skew-symmetric.
Prove that f*(y,x) = f(x,y)


3. The Attempt at a Solution
Information I know:
Skew-symmetric : A*=-A
f* computation: f*(y) = sup(x[tex]\epsilon[/tex]R[tex]^{N}[/tex] {<x,y> - F(x)}

Would really appreciate it if someone would help me start this proof
 
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  • #2
! Let f*(y,x) = F*(y) + \varphi*(Ay+x). Since A is skew-symmetric, A*=-A. Therefore, f*(y,x) = F*(y) + \varphi*(-Ax+x) = F*(y) + \varphi*(x-Ax) = F*(y) + \varphi*(Ax+x-Ax) = F*(y) + \varphi*(Ax+x) = f(x,y). Therefore, f*(y,x) = f(x,y).
 

Related to How Does Skew-Symmetry Impact Dual Function Equivalence in Variational Calculus?

1. What is variational calculus?

Variational calculus is a branch of mathematics that deals with finding the optimal value of a functional, which is a function that takes in other functions as inputs. It is commonly used in physics and engineering to solve problems that involve finding the path or function that minimizes a certain physical property, such as energy or time.

2. What is a variational calculus proof?

A variational calculus proof is a mathematical argument that demonstrates the validity of a statement or equation related to variational calculus. It typically involves using the calculus of variations, which is a set of mathematical tools and techniques for solving variational problems, to show that a certain function or path is indeed the optimal solution.

3. How is the Euler-Lagrange equation used in variational calculus proofs?

The Euler-Lagrange equation is a key tool in variational calculus proofs. It is a differential equation that describes the necessary conditions for a function to be a critical point of a given functional. In other words, it helps determine if a certain function is a minimum or maximum of the functional. By using the Euler-Lagrange equation, one can prove that a certain function is indeed the optimal solution to a variational problem.

4. What are some applications of variational calculus?

Variational calculus has many applications in various fields, including physics, engineering, economics, and biology. It is used to optimize processes and systems, such as finding the shortest path for a spacecraft to travel or the shape of a bridge that can withstand the most weight. It is also used in quantum mechanics to calculate the most probable path of a particle between two points.

5. Are there any limitations to variational calculus?

Like any mathematical tool, variational calculus has its limitations. It can only be applied to problems that can be formulated in terms of a functional, which may not always be possible. Additionally, it may not always provide an exact solution and may require numerical methods for approximation. Furthermore, it may not be applicable in cases where there are constraints on the function or path being optimized.

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