To0ta
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let \mu^{}* , v^{}* outer measura on X . Show that max{\mu^{}* , v^{}*} is an outer measure on X ?
The discussion revolves around whether the expression max{u*, v*} can be defined as an outer measure on a set X, focusing on the properties that characterize outer measures and examining the implications of these properties in relation to the maximum of two outer measures.
Participants express disagreement regarding the applicability of max{u*, v*} as an outer measure, with some asserting it fails to meet the necessary properties while others explore alternative ideas without reaching consensus.
The discussion highlights the need for clarity on the definitions and properties of outer measures, as well as the implications of using the maximum function in this context. There are unresolved mathematical steps regarding the verification of the properties for max{u*, v*}.
Tinyboss said:The first (possibly only) thing to try would be to look at the properties that define an outer measure, and check whether max(u,v) satisfies them. Did you try that yet?
And what was the result?To0ta said:Yes I have tried a lot
jgm340 said:FAIL.
From wikipedia: http://en.wikipedia.org/wiki/Outer_measure#Formal_definitions
Defining properties of an outer measure:
* The empty set has measure 0.
* Monotonicity: If A is a subset of B, then the measure of A is at most the measure of B.
* Countable Subadditivity: The measure of a countable union of sets is at most the sum of the measures of each of the sets in the union.
If u* and v* are outer measures, then max{u*,v*} is outer measure if and only if it satisfies the above three properties.
In other words:
* max{u*(empty set), v*(empty set)} = 0.
* If A is a subset of B, then max{u*A,v*A} is less than or equal to max{u*B,v*B}.
*If A1, A2, A3, ... are sets, and A is their union, then max{u*A,v*A} is less than or equal to the sum over i = 1,2,3,... of max{u*Ai,v*Ai}.
The first two conditions are really, really straightforward. The third follows from the fact that the maximum of two sums (say, for example, of max{sum of x_i, sum of y_i}) is at most the sum of the maximums (i.e. the sum of max{x_i,y_i}).