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This is a simple question.
On pages 5-6 of Measure Theory,Vol 1, Vladimir Bogachev he writes that:
for E=(A\cap S)\cup (B\cap (X-S))
Now, he writes that:
X-E = ((X-A)\cap S) \cup ((X-B)\cap (X-S))
But I don't get this expression, I get another term of ((X-B)\cap (X-A))
i.e, X-E =( ((X-A)\cap S) \cup ((X-B)\cap (X-S)))\cup ((X-B)\cap (X-A)).
I believe I did it correctly according to De-Morgan rules and distribution.
I am puzzled...
On pages 5-6 of Measure Theory,Vol 1, Vladimir Bogachev he writes that:
for E=(A\cap S)\cup (B\cap (X-S))
Now, he writes that:
X-E = ((X-A)\cap S) \cup ((X-B)\cap (X-S))
But I don't get this expression, I get another term of ((X-B)\cap (X-A))
i.e, X-E =( ((X-A)\cap S) \cup ((X-B)\cap (X-S)))\cup ((X-B)\cap (X-A)).
I believe I did it correctly according to De-Morgan rules and distribution.
I am puzzled...

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