Definition:Conjugate Point (Calculus of Variations)
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Definition
Definition 1
Let:
- $-\map {\dfrac \d {\d x} } {P h'} + Q h = 0$
with boundary conditions:
- $\map h a = 0, \quad \map h c = 0, \quad a < c \le b$
Suppose:
- $\map h x = 0 \quad \neg \forall x \in \closedint a b$
Suppose:
- $\map h a = 0, \quad \map h {\tilde a} = 0, \quad a \ne \tilde a$
Then the point $\tilde a$ is called conjugate to the point $a$ with respect to solution to the aforementioned differential equation.
Definition 2
Let $y = \map y x$ and $y^* = \map {y^*} x$ be extremal functions.
Let:
- $M = \tuple {a, \map y a}$
- $\tilde M = \tuple {\tilde a, \map y {\tilde a} }$
Let $y$ and $y^*$ both pass through the point $M$.
Let:
- $\map {y^*} {x - \tilde a} - \map y {x - \tilde a} = \epsilon \size {\map {y^*} {x - \tilde a} - \map y {x - \tilde a} }_1$
where:
- $\size {\map {y^*} {x - \tilde a} - \map y {x - \tilde a} }_1 \to 0 \implies \epsilon \to 0$
Then $\tilde M$ is conjugate to $M$.
Definition 3
Let $y = \map y x$ and $y = \map {\tilde y} x$ be extremal functions.
Let:
- $M = \paren {a, \map y a}$
- $\tilde M = \paren {\tilde a, \map y {\tilde a} }$
Let both $y = \map y x$ and $y = \map {\tilde y} x$ pass through the point $M$.
Let
- $\ds \lim_{\norm {\map y x - \map {\tilde y} x}_{1, \infty} \to 0} \sqbrk {\paren {x, \map y x}: \map y x - \map {\tilde y} x = 0} = \tilde M$
In other words, let $\tilde M$ be the limit points of intersection of $y = \map y x$ and $y = \map {\tilde y} x$ as $\norm {\map y x - \map {\tilde y} x}_{1, \infty} \to 0$.
This article, or a section of it, needs explaining. In particular: the notation $\norm {\map y x - \map {\tilde y} x}_{1, \infty}$ with particular regard to the subscript This is most likely the standard norm of Sobolev space, also know as np-norm. Original source never calls it by word; only by special symbols You can help $\mathsf{Pr} \infty \mathsf{fWiki}$ by explaining it. To discuss this page in more detail, feel free to use the talk page. When this work has been completed, you may remove this instance of {{Explain}} from the code. |
Then $\tilde M$ is conjugate to $M$.
Dependent on $N$ Functions
Let $K$ be a functional such that:
- $\ds K \sqbrk h = \int_a^b \paren {\mathbf h'\mathbf P \mathbf h' + \mathbf h \mathbf Q \mathbf h} \rd x$
Consider Euler's equation related to the functional $K$:
- $-\map {\dfrac \d {\d x} } {\mathbf P \mathbf h'} + \mathbf Q \mathbf h = 0$
where $\mathbf P$ and $\mathbf Q$ are symmetric matrices.
Let the general solution to this equation be:
- $\set {\mathbf h^{\paren i} = \paren {\sequence {h_{ij} } }: i,j \in \N_{\le N} }$
Let:
- $\exists j: \forall k \ne j: \paren {\map {\mathbf h^{\paren j} } a = 0} \land \paren {\map {h_{j j}'} a = 1, h'_{j k} = 0}$
Let the determinant, built from $h_{ij}$, be such that:
- $\size {h_{i j} } \paren {\tilde a} = 0$
Here $i$ denotes rows, and $j$ denotes columns.
Then $\tilde a$ is said to be conjugate to point $a$ with respect to the functional $K$.
With Respect to Original Functional
Let:
- $\ds \int_a^b \map F {x, y, y'}$
be the original functional.
Let $\tilde a$ be conjugate to $a$.
Let:
- $\ds \int_a^b \paren {P h'^2 + Q h^2} \rd x$
be the second variation of $\ds \int_a^b \map F {x, y, y'}$.
Then $\tilde a$ is conjugate to $a$ with respect to to the original functional $\ds \int_a^b \map F {x, y, y'}$.
Also defined as
In the context of Calculus of Variations, functionals are one of the most important concepts.
Therefore, instead of a function, a functional which is minimised by the given function is used as a concept of reference.
Then, if $\tilde a$ is conjugate to $a$ with respect to solution of $\paren {-\map {\dfrac \d {\d x} } {P h'} + Q h = 0}$, then it is also conjugate with respect to $\ds \int_a^b \paren {P h'^2 + Q h^2} \rd x$.
Sources
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- 1963: I.M. Gelfand and S.V. Fomin: Calculus of Variations ... (previous) ... (next): $\S 5.26$: Analysis of the Quadratic Functional $ \int_a^b \paren {P h'^2 + Q h^2} \rd x$