Different Forms of Operator Norms

In summary: Your Name]In summary, the forum member is asking for help deriving the last three equations from the first given definition. They have attempted to use the definition of supremum, but are unsure if they are on the right track. The responder explains that the last three equations can be derived using the definition of supremum, and provides a step-by-step guide to doing so. They also offer to answer any further questions.
  • #1
maritimer
2
0

Homework Statement


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I was given the first definition but am not sure how to get the last 3

Homework Equations



N/A

The Attempt at a Solution



I tried taking sup (with restriction being llxll=1) on both sides of the inequation,
llF(x)ll=<llFll llxll, but would eventually end up with sup(llF(x)ll ; llxll=1) = sup(llF(x)ll ; llxll=1).
Is this the right way to start deriving those 3 equations or am I supposed to derive from the very first equation?

Thanks for the help.
 
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  • #2


Thank you for your question. To derive the last three equations, you can use the definition of supremum, which states that for a set S, the supremum of S is the least upper bound of S. In this case, the set S is the set of all values of llF(x)ll for llxll=1. So, the supremum of S, sup(llF(x)ll ; llxll=1), is the smallest value of llF(x)ll that is greater than or equal to all values of llF(x)ll for llxll=1.

Using this definition, you can derive the last three equations as follows:

1. sup(llF(x)ll ; llxll=1) = sup(llF(x)ll) : This equation follows directly from the definition of supremum. The supremum of a set is equal to the supremum of the set itself.

2. sup(llF(x)ll ; llxll=1) >= llF(x)ll : This equation also follows from the definition of supremum. Since the supremum is the least upper bound, it must be greater than or equal to any value in the set.

3. sup(llF(x)ll ; llxll=1) = llF(0)ll : This equation follows from the fact that for llxll=1, x=0. So the set S contains only one value, llF(0)ll. Therefore, the supremum of S is equal to this value.

I hope this helps. Let me know if you have any further questions.


 

1. What is an operator norm?

An operator norm is a mathematical concept used to measure the size or magnitude of an operator in a given space. It is used to determine how much an operator can magnify the size of a vector in that space.

2. What are the different forms of operator norms?

The three most commonly used forms of operator norms are the operator norm, the spectral norm, and the Frobenius norm. These norms differ in the way they measure the size of an operator and are used in different contexts.

3. How are operator norms calculated?

The calculation of an operator norm depends on which form is being used. The operator norm is calculated by taking the maximum absolute value of the operator's output on a unit vector. The spectral norm is calculated by finding the square root of the largest eigenvalue of the operator's matrix representation. The Frobenius norm is calculated by taking the square root of the sum of the squares of all elements in the operator's matrix representation.

4. What is the significance of operator norms?

Operator norms are used in various fields of mathematics and engineering, such as functional analysis, linear algebra, and control theory. They provide a way to measure the size of an operator and can be used to analyze the behavior and properties of linear operators in different spaces.

5. How are operator norms related to other mathematical concepts?

Operator norms are closely related to other mathematical concepts such as norms and metrics. They are a specific type of norm that is defined for operators, which are linear mappings between vector spaces. They are also related to the concept of convergence, as they can be used to determine the convergence of a sequence of operators.

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