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I'm reading Tao's An introduction to measure theory.And the definition of uniform integrability in this book is

$(X,{\mathfrak {M}},\mu)$ is a measure space(not necessarily finite). A sequence $f_n:X \rightarrow \mathbb{C}$ of absolutely Integrable functions is said to be uniformly Integrable if the following three statements hold

1.(Uniform bound on $L^1$ normal) One has $\sup_n\|f_n\|_{L^1(\mu)}=\sup_n\int_{X}|f_n|d\mu <+\infty$.

2.(No escape to vertical infinity) One has $\sup_n\int_{|f_n|\ge M}|f_n|d\mu\xrightarrow{M\rightarrow\infty} 0$.

3.(No escape to width infinity) One has $\sup_n\int_{|f_n|\le\delta}|f_n|d\mu\xrightarrow{\delta\rightarrow0} 0$.

However, the definition of uniform integrability in Wikipedia is

Let $(X,{\mathfrak {M}},\mu ) $ be a positive measure space. A set ${\displaystyle \Phi \subset L^{1}(\mu )}$ is called uniformly integrable if to each ${\displaystyle \varepsilon >0} $ there corresponds a ${\displaystyle \delta >0}$ such that ${\displaystyle \int _{E}|f|\,d\mu <\varepsilon } $ whenever ${\displaystyle f\in \Phi }$ and ${\displaystyle \mu (E)<\delta .}$

Tao leaves the equivalence of this two definitions when $(X,\mathfrak{M},\mu)$ is finite(namely $\mu(X)<+\infty$) as an exercise, and I've prove it. But I can't prove the equivalence of them when $\mu(X)=+\infty$. Can anyone prove or disprove it?

Any help is appreciated.

EDIT:I've also prove that the first definition implies the second one(which is also an exercise in Tao's book). So the problem becomes whether the second one implies the first one.

Mittens
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The condition in Wikipedia is to weak to imply 1), 2) and 3). Consider $\mathbb N$ with power set and the counting measure. Any family of functions satisfies the Wikipedia condition since $\mu (E) <1$ implies that $E$ is the empty set. You can easily write down a family of functions each of which satsifies the condition $\|f||_1=\sum |f(n) |<\infty$ but the norms are not bounded when$f$ varies over the family. [I will write down an explicit example if you ask for it].