Equivalent Norms: Piecewise Continuous Linear Function [0,1]

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In summary, the conversation is about determining if two norms, ||f|| and |||f|||, are equivalent when ||f|| is defined as the integral from 0 to 1 of the absolute value of f(x) and f is a piecewise continuous linear function on the interval [0,1]. One side of the definition is easily verified, but the other side requires considering a function f_{\varepsilon}(x) = x\chi_{[0,\varepsilon]}(x) and finding \frac{||f_{\varepsilon}||}{|||f_{\varepsilon}|||}. This function is piecewise continuous and linear, thus it is in the space being discussed
  • #1
antiemptyv
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Suppose that ||f||= int 01| f(x) | dx and f is a piecewise continuous linear function on the interval [0,1]. If ||| f ||| = int 01 x | f(x) | dx, determine if the two norms are equivalent.

I know the first defines a norm, and the space is not complete. Can anyone offer any hints as to solving this problem?
 
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  • #2
Well, first of, when are two norms defined to be equivalent? If you know that, one part of the definition is very easily verified. For the other part consider the function

[tex]
f_{\varepsilon}(x)=x\chi_{[0,\varepsilon]}(x)
[/tex]
What is then [itex]\frac{||f_{\varepsilon}||}{|||f_{\varepsilon}|||}[/itex]? Conclusion?
 
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  • #3
i don't quite follow... is that function in the space?
 
  • #4
[itex]\chi_{[0,\varepsilon]}[/itex] is the characteristic function of [itex][0,\varepsilon][/itex], i.e.

[tex]\chi_{[0,\varepsilon]}(x) = \begin{cases} 1 & \text{ if } x \in [0,\varepsilon] \\ 0 & \text{ if } x \in (\varepsilon, 1] \end{cases}.[/tex]
 
  • #5
antiemptyv said:
i don't quite follow... is that function in the space?

That function is certainly piecewise continuous and (piecewise) linear und thus in the space you mentioned.
Thanks for supplying this additional, crucial piece of information that by [itex]\chi_A[/itex] I meant the indicator function of A.
 

1. What is the definition of an equivalent norm?

An equivalent norm is a mathematical concept used to describe two different norms on a vector space that produce the same topology. This means that the two norms define the same open and closed sets, and therefore, the same convergent sequences and limits.

2. How is a piecewise continuous linear function defined?

A piecewise continuous linear function is a function that is continuous on each interval of its domain, but may have discontinuities at the endpoints of each interval. It is also required to be linear on each interval, meaning that it can be written in the form f(x) = ax + b, where a and b are constants.

3. What is the significance of [0,1] in the context of equivalent norms and piecewise continuous linear functions?

In the context of equivalent norms and piecewise continuous linear functions, [0,1] represents the domain of the function. This means that the function is defined and continuous on the closed interval [0,1].

4. Can two different norms be equivalent on a vector space of any dimension?

Yes, two different norms can be equivalent on a vector space of any dimension. The dimension of the vector space does not affect the definition of equivalent norms, as it is based on the topology of the space rather than its dimension.

5. How are equivalent norms useful in mathematical analysis?

Equivalent norms are useful in mathematical analysis because they allow us to compare different norms on a vector space and determine if they produce the same topology. This can be helpful in solving problems involving normed spaces, such as optimization problems or the convergence of sequences.

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