Show Inclusion of Measures: Hölder's Inequality

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In summary, using Hölder's inequality, it can be shown that in a Lebesgue measurable set with finite and nonzero measure, the space $L^{p_2}$ is a proper subset of $L^{p_1}$ for $1 \leq p_1 \leq p_2 \leq +\infty$. The inequality $||f||_{p_1} < ||f||_{p_2}$ can be proven by using the inequality $||f||_{p_1} \leq ||f||_{p_2} \mu (E)^{1/p_1 \cdot q}$ and showing that it is strict. This is one approach, but there may be others
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mathmari
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Hey! :eek:

Let $1 \leq p_1 \leq p_2 \leq +\infty$. Show that in a Lebesgue measurable $E\subset R^d$ with $0<m(E)<+\infty$ we have that $L^{p_2} \subsetneq L^{p_1}$.

Using Hölder's inequality I got that $||f||_{p_1} \leq ||f||_{p_2} \mu (E)^{1/p_1 \cdot q}$.

Is this correct so far?? How could I continue to show that $||f||_{p_1} < ||f||_{p_2}$ ?? (Wondering)

Or is there an other way to show this?? (Wondering)
 
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  • #2
mathmari said:
How could I continue to show that $||f||_{p_1} < ||f||_{p_2}$ ?? (Wondering)

Or isn't this that we want to show so that $L^{p_2} \subsetneq L^{p_1}$ ?? (Wondering)
 

FAQ: Show Inclusion of Measures: Hölder's Inequality

1. What is Hölder's inequality?

Hölder's inequality is a mathematical theorem that relates the norms of two vector spaces. It states that the product of the norms of two vectors is always greater than or equal to the inner product of the two vectors.

2. How is Hölder's inequality used in mathematics?

Hölder's inequality is used in various branches of mathematics, including functional analysis, harmonic analysis, and probability theory. It is particularly useful in proving other theorems and inequalities, such as the Cauchy-Schwarz inequality and the Minkowski inequality.

3. What is the significance of Hölder's inequality?

Hölder's inequality is significant because it provides a way to compare the norms of two vectors. It also has applications in various areas of mathematics and physics, such as in the study of Fourier series and integral equations.

4. Can Hölder's inequality be generalized?

Yes, Hölder's inequality can be generalized to include more than two vectors. This is known as the generalized Hölder's inequality and it states that the product of the p-norms of n vectors is greater than or equal to the sum of the p-norms of the vectors raised to the power of 1/p.

5. What are some real-life examples of Hölder's inequality?

Hölder's inequality has practical applications in fields such as economics and engineering. For example, it can be used to determine the optimal distribution of resources in an economy or to analyze the stability of a structure under different loads.

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