Derivative w.r.t. the Lp norm

In summary: And since the limit must equal 0 for the derivative to exist, we can conclude that A'f = 0. Therefore, the derivative of A is the zero operator, and in summary, A' = 0.
  • #1
foxjwill
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Homework Statement


Let [tex]A:L^2(0,\infty)\to L^2(0,\infty)[/tex] be given by [tex]f(x)\mapsto f(x+1)[/tex]. What is the derivative [tex]A'[/tex], if it exists, of [tex]A[/tex]? That is, we want a function [tex]A':L^2(0,\infty)\to L^2(0,\infty)[/tex] such that
[tex]\lim_{\|h\|\to0}\frac{\left\|A(f+h)-Af -hA'f\right\|}{\|h\|}=0.[/tex]​


Homework Equations





The Attempt at a Solution


I was able to simplify the differentiability condition thingy to
[tex]\lim_{\|h\|\to0}\frac{\left\|h(x+1) -h(x)A'f\right\|}{\|h(x)|}=0.[/tex]​
However, I'm not sure where to go from there. Any hints?
 
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  • #2


Hi there! It looks like you're on the right track with simplifying the differentiability condition. To find the derivative A', we can use the definition of the derivative as the limit of the difference quotient. So, let's start by expanding the numerator of the difference quotient:

\|A(f+h)-Af -hA'f\| = \|f(x+1+h)-f(x+1) -hA'f\|

Now, we can use the fact that A is given by f(x)→f(x+1) to simplify this further:

\|f(x+h)-f(x) -hA'f\| = \|f(x+h)-f(x) -hA'f\|

Next, we can use the definition of the norm to expand the norm of the difference:

= \sqrt{\int_{0}^{\infty}|f(x+h)-f(x) -hA'f|^2 dx}

= \sqrt{\int_{0}^{\infty}|f(x+h)-f(x)|^2 - 2h(f(x+h)-f(x))A'f + h^2|A'f|^2 dx}

Now, we can use the fact that f is in L^2(0,\infty) to simplify the first term inside the square root:

= \sqrt{\int_{0}^{\infty}|f(x+h)-f(x)|^2 dx + h^2\|A'f\|^2}

Next, we can use the triangle inequality to split up the first term inside the square root:

= \sqrt{\int_{0}^{\infty}|f(x+h)-f(x)|^2 dx} + h\|A'f\|

Finally, we can divide both sides by \|h\| and take the limit as \|h\|→0 to get:

\lim_{\|h\|\to0}\frac{\left\|A(f+h)-Af -hA'f\right\|}{\|h\|} = \lim_{\|h\|\to0}\frac{\sqrt{\int_{0}^{\infty}|f(x+h)-f(x)|^2 dx} + h\|A'f\|}{\|h\|}

Now, we can use the fact that f is in L^2(0,\infty) to show that
 

1. What is the Lp norm?

The Lp norm is a mathematical concept used to measure the magnitude of a vector or a function. It is defined as the p-th root of the sum of the absolute values of the vector's or function's components raised to the power of p. It is often used in linear algebra and functional analysis.

2. How do you calculate the derivative w.r.t. the Lp norm?

The derivative w.r.t. the Lp norm is calculated using the standard rules of differentiation. For a function f(x) and an Lp norm of p, the derivative w.r.t. the Lp norm is given by the formula:
∂f(x)/∂‖x‖p = p‖x‖p-1sgn(x)

3. What is the significance of the derivative w.r.t. the Lp norm?

The derivative w.r.t. the Lp norm is a useful tool in optimization problems, where the goal is to find the minimum or maximum value of a function. It allows us to find the direction in which the function changes the most with respect to the Lp norm, which can help us find the optimal solution.

4. Can the Lp norm be used for non-Euclidean spaces?

Yes, the Lp norm can be used for non-Euclidean spaces as well. It is a generalization of the Euclidean norm, which is used in Euclidean spaces. The Lp norm can be used for any vector space, including infinite-dimensional spaces.

5. How does the value of p affect the Lp norm?

The value of p affects the Lp norm by changing the shape of the norm. For p = 1, the norm is known as the Manhattan or taxicab norm, and for p = 2, it is known as the Euclidean norm. For larger values of p, the norm becomes more peaked around the origin, while for smaller values, it becomes flatter. The value of p also affects the convergence rate of some optimization algorithms.

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