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 centers on the applicability of the formula max{u*, v*} as an outer measure on a set X. It is established that for max{u*, v*} to qualify as an outer measure, it must satisfy three defining properties: the empty set must have measure 0, it must exhibit monotonicity, and it must demonstrate countable subadditivity. The participants confirm that while the first two properties are straightforward, the third property fails under certain conditions, leading to the conclusion that max{u*, v*} does not consistently function as an outer measure.
PREREQUISITESMathematicians, students of measure theory, and researchers interested in the properties of outer measures and their applications in set theory.
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}).