What is the norm of a linear operator in $\mathscr{L}^p(0, \infty)$?

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    2017
In summary, the norm of a linear operator in $\mathscr{L}^p(0, \infty)$ is a measure of its size or magnitude, denoted by $\|\cdot\|_p$ and defined as the supremum of its values on a certain set of functions. The norm is directly related to the operator's values, and is calculated by taking the supremum of the operator's values on all functions with a norm of 1. It is a fundamental concept in linear operator theory and plays a crucial role in functional analysis. The norm of a linear operator can change depending on the space or set of functions it is defined on.
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Euge
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Here is this week's POTW:

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Find the norm of the linear operator $T: \mathscr{L}^p(0, \infty) \to \mathscr{L}^p(0, \infty)$ defined by the equation

$$(Tf)(x) = \frac{1}{x}\int_0^x f(t)\, dt$$

Here it is assumed that $1 < p < \infty$.

Note: The space $\mathscr{L}^p(0,\infty)$ consists of all Lebesgue integrable functions $f : (0,\infty) \to \Bbb R$ such that $\|f\|_p < \infty$. For $p < \infty$, $\|f\|_p := \left(\int_0^\infty \lvert f(x)\rvert^p\, dx\right)^{1/p}$.
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No one answered this week's problem. You can read my solution below.
The norm is $q := p/(p-1)$, the exponent conjugate to $p$. Let $f\in L^p(0,\infty)$, and let $r\in (0, 1/q)$ where $r$ is a constant to be determined. Writing $f(t) =t^{-r}[f(t)t^{r }]$ and applying Hölder's inequality, we obtain

$$\lvert Tf(x)\rvert^p \le (1 - r q)^{-p/q} x^{-1-rp} \int_0^x \lvert f(t)\rvert^{p} t^{rp}\, dt$$

Integrating over $(0, \infty)$ and changing the order of integration, we find

$$\int_0^\infty \lvert Tf(x)\rvert^p \le (1 - rq)^{-p/q}(rp)^{-1} \int_0^\infty \lvert f(t)\rvert^p\, dt$$

Hence

$$\|Tf\|_p \le (1 - rq)^{-1/q}(rp)^{-1/p}\|f\|_p$$

Choosing $r$ such that $1 - rq = rp$, i.e., $r = \frac1{pq}$ (since $\frac{1}{p} + \frac{1}{q} = 1$),

$$\|Tf\|_p \le (rp)^{-1/q - 1/p} \|f\|_p = q\|f\|_p$$

It follows that $\|T\|\le q$. To obtain $\|T\| = q$, we choose the function $f : (0, \infty) \to (0, \infty)$, $f(x) = x^{-1/p}1_{[1,R]}(x)$, where $R$ is scaled sufficiently large.
 

FAQ: What is the norm of a linear operator in $\mathscr{L}^p(0, \infty)$?

What is the norm of a linear operator in $\mathscr{L}^p(0, \infty)$?

The norm of a linear operator in $\mathscr{L}^p(0, \infty)$ is a measure of the size or magnitude of the operator, similar to the concept of length or distance in standard Euclidean space. It is denoted by $\|\cdot\|_p$ and is defined as the supremum (or least upper bound) of the operator's values on a certain set of functions. In simpler terms, it is the largest possible value that the operator can take on a function within a certain set.

What is the relationship between the norm and the operator's values?

The norm is directly related to the operator's values, as it is defined as the supremum of those values. This means that the norm sets an upper limit on the values that the operator can take on a function, and any value above that limit is not considered part of the operator's norm.

How is the norm of a linear operator calculated?

The norm of a linear operator in $\mathscr{L}^p(0, \infty)$ is calculated using the following formula: $$\|T\|_p = \sup_{\|f\|_p=1} \|Tf\|_p$$ In words, this means taking the supremum of the operator's values on all functions $f$ with a norm of 1. This gives the maximum possible value for the operator's norm.

What is the significance of the norm in linear operator theory?

The norm of a linear operator is a fundamental concept in linear operator theory, as it allows for the comparison and analysis of different operators. It also plays a crucial role in the study of functional analysis, which deals with the properties and behavior of functions and operators in various spaces.

Can the norm of a linear operator change?

Yes, the norm of a linear operator can change depending on the space in which it is defined. For example, the norm of an operator in $\mathscr{L}^p(0, \infty)$ may be different from its norm in $\mathscr{L}^q(0, \infty)$, where $p$ and $q$ are different values. Additionally, the norm can also change if the underlying space or the set of functions on which the operator is defined is altered.

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