Distribution - inequality

In summary: Your Name]In summary, the theorem states that for a distribution $u$ in the space $D'(\Omega)$ and a compact set $K \subset \Omega$, there exists a natural number $\lambda$ and a constant $c \geq 0$ such that the inequality $|\langle u, \phi \rangle| \leq c \sum_{|a| \leq \lambda} ||\partial^{a} \phi||_{L^{\infty}}$ holds for all test functions $\phi$ in the space $C_C^{\infty}(K)$. The proof involves assuming the opposite and then reaching a contradiction by using the definition of a distribution.
  • #1
evinda
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Hello! (Wave)

Theorem: Let $u \in D'(\Omega)$ and $K \subset \Omega$, $K$ compact

$$\exists \lambda \in \mathbb{N} \text{ and } c \geq 0 \text{ such that } \\ |\langle u, \phi \rangle| \leq c \sum_{|a| \leq \lambda} ||\partial^{a} \phi||_{L^{\infty}}, \forall \phi \in C_C^{\infty}(K)$$

Proof

Suppose that it doesn't hold then for all $\lambda, c$ there will be a test function $\phi_{\lambda}$ such that

$1=|\langle u, \phi_{\lambda} \rangle|> \lambda \sum_{|a| \leq \lambda} ||\partial^{a} \phi_{\lambda}||_{L^{\infty}(\Omega)}$

We divide by $\lambda$, so:

$$||\phi_{\lambda}||_{\infty} \leq \sum_{|a| \leq \lambda} ||\partial^{a} \phi_{\lambda}||_{L^{\infty}(\Omega)} < \frac{1}{\lambda}$$

We send $\lambda \to +\infty$. So $\partial^{a} \phi_{\lambda} \to 0 \Rightarrow \langle u, \phi_{\lambda} \rangle \to 0$ from $(\star)$. And so we have a contradiction.

$u$: distribution
$(\star)$: $u(\phi_j) \to u(\phi)$ for each $\phi \in C_{C}^{\infty}(\Omega)$ for each sequence $\{ \phi_j\}$ with $\partial^a{\phi_j} \to \partial^a \phi$.First of all, why can we consider that there is a test function $\phi_{\lambda}$ such that $|\langle u, \phi_{\lambda} \rangle|=1$ ?

Then, how do we get that $||\phi_{\lambda}||_{\infty} \leq \sum_{|a| \leq \lambda} ||\partial^a \phi_{\lambda}||_{L^{\infty}(\Omega)}$ ?

Also how do we deduce from $(\star)$ that $\partial^a{\phi_{\lambda}} \to 0$ imples that $\langle u, \phi_{\lambda} \rangle \to 0$ ?
 
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  • #2


Hello! (Wave)
Thank you for your post. I would like to address your questions and clarify the proof for you.

Firstly, in order to prove the theorem, we need to assume that there is no test function $\phi_{\lambda}$ such that $|\langle u, \phi_{\lambda} \rangle|=1$. This is because if such a function exists, then the inequality in the theorem would not hold for that particular $\lambda$ and $c$. Therefore, we assume that there is no such function, and proceed with the proof.

Secondly, we get the inequality $||\phi_{\lambda}||_{\infty} \leq \sum_{|a| \leq \lambda} ||\partial^a \phi_{\lambda}||_{L^{\infty}(\Omega)}$ by dividing both sides of the given inequality by $\lambda$, and then taking the supremum over all possible test functions $\phi_{\lambda}$. This is because the supremum of a sum is always less than or equal to the sum of the suprema.

Lastly, $(\star)$ is the definition of a distribution. It states that for any sequence of test functions $\phi_j$ that converges to a test function $\phi$, the corresponding sequence of distributions $u(\phi_j)$ converges to $u(\phi)$. In this case, we have a sequence of test functions $\phi_{\lambda}$ with the property that $\partial^a \phi_{\lambda} \to 0$. Therefore, by $(\star)$, we have that $u(\phi_{\lambda}) \to u(0) = 0$, which implies that $\langle u, \phi_{\lambda} \rangle \to 0$. This contradicts our assumption that $|\langle u, \phi_{\lambda} \rangle| = 1$, and thus proves the theorem.

I hope this helps clarify the proof for you. Let me know if you have any further questions or concerns.
 

What is distribution inequality?

Distribution inequality refers to the unequal distribution of resources, wealth, and opportunities among individuals or groups within a society. This can include differences in income, education, healthcare, and access to resources.

What causes distribution inequality?

There are many factors that can contribute to distribution inequality, including systemic and structural barriers, discrimination, uneven distribution of resources and opportunities, and government policies.

What are the consequences of distribution inequality?

Distribution inequality can have negative impacts on both individuals and society as a whole. It can lead to social and economic instability, hinder economic growth, and perpetuate cycles of poverty and disadvantage.

How is distribution inequality measured?

There are various measures of distribution inequality, including the Gini coefficient, which calculates the degree of income inequality within a society, and the Human Development Index, which takes into account factors such as education and healthcare in addition to income.

What can be done to address distribution inequality?

There are a variety of potential solutions to address distribution inequality, including implementing policies that promote equal access to resources and opportunities, addressing systemic and structural barriers, and promoting social and economic mobility through education and other initiatives.

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