Convexity of a function I don't understand

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The function f(x) = maxi(xi) - mini(xi) is examined, with the claim that it equals zero for any x in R, as the maximum and minimum of x would be x itself. The discussion suggests that this function is convex, as it satisfies the convexity condition for any θ ≥ 0. There is a question regarding whether the argument of f is a vector, with x_i representing its components, indicating a potential misunderstanding of the function's definition. Clarification is sought on the interpretation of the function and its components. The conversation highlights the importance of understanding the context and definitions in mathematical functions.
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Hi,

I am starting to learn real math I would say for first time in life. I have come across this function:

Code:
f(x) = max[SUB]i[/SUB](x[SUB]i[/SUB]) - min[SUB]i[/SUB](x[SUB]i[/SUB])

The domain is R.

Does the above function mean f(x) = 0 since for for x in R max and min of x would be x itself.

Hence it is convex as for any θ ≥ 0 we can write:
Code:
θ.x + (1-θ).y = 0 ≤ f(θ.x + (1-θ).y)
f(θ.x + (1-θ).y) = 0

In above both x and y would be any R.

Thanks for helping me learn.
 
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Is the argument of f perhaps a vector and the x_i the components thereof? I am sure they are not meant to be the same.
 
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