# If $f\in \mathcal{R}[a,b]$ satisfies $\int_a^b |f(x)|dx=0$ then $f=0$ almost everywhere.

I was trying to prove that if $f\in C[a,b]$ satisfies $\int_a^b |f(x)|dx=0$ then $f=0$, and I found some way to prove it without problem.

But my initial attempt to proving was about proving first that $f=0$ almost everywhere, and then, since $f$ is continuous, extend the result to prove that $f=0$ everywhere. I liked this approach so I want to know if there is some elementary way to prove that if $f\in \mathcal{R}[a,b]$ satisfies $\int_a^b |f(x)|dx=0$ then $f=0$ almost everywhere.

• try by contradiction for instance Commented Aug 8, 2017 at 17:45
• What's $\mathcal{R}$? Commented Aug 8, 2017 at 17:45
• I suppose it means Riemann Integrable. Commented Aug 8, 2017 at 17:54
• @LeviathanTheEsper I'm afraid you're right, because it doesn't make a lot of sense to ask that: $f=0$ almost everywhere is referring to Lebesgue measure, after all, so why Riemann integral? There's no natural, easy connection between Riemann integral and Lebesgue measure.
– user436658
Commented Aug 8, 2017 at 18:09
• It's a bit weird. I don't know a lot about measure (A first course) but in this case there is a way to kill this with a nuke: Since $f$ is Riemann-Integrable in [a,b], in particular it's Lebesgue-Integrable and the integrals coincide, so its Lebesgue Integral is also 0 and then $f=0$ almost everywhere. But I have no idea about how to prove it for the Riemann Integral without using that. Commented Aug 8, 2017 at 18:16

Very generally, if $(X,\mu)$ is a measure space, and $f:X \rightarrow \mathbb{R}$ is measurable and satisfies $\int_{X} |f(x)|d\mu = 0$, then $f = 0$ almost everywhere.

To see why, note that:

$$\{x \mid f(x) \neq 0\} = \bigcup_{n \in \mathbb{N}} \{x \mid |f(x)| > 1/n\}$$

Letting $A_n = \{x \mid |f(x)| > 1/n\}$, we know $|f| > \frac{1}{n}1_{A_n}$, where $1_{A_n}$ is the function which is $1$ on $A_n$ and $0$ elsewhere hence $0 = \int_X |f| d\mu \geq \int_X \frac{1}{n}1_{A_n}d\mu = \frac{1}{n}\mu(A_n)$. We get $\mu(A_n) = 0$, and therefore $\{x \mid f(x) \neq 0\}$ is the countable union of measure-zero sets and so has measure zero.

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Now, any positive function on $[a,b]$ which is Riemann integrable is also Lebesgue integrable, and the integrals agree. But you can prove this without needing measure theory and just using the definition of Riemann integrability on $[a,b]$ (though this proof is very similar to the above):

Assuming $f$ is Riemann integrable and $\int_a^b |f(x)|\, dx = 0$, given any $\varepsilon > 0$ we can find a partition $P$ of $[a,b]$ such that the upper sum $U(|f|,P) < \varepsilon$. Then for any real number $\delta > 0$, consider just the intervals $I$ in $P$ such that $\sup_{x \in I}|f(x)| \geq \delta$. If the total length of these intervals is $L$, these intervals contribute at least $L\delta$ to the sum $U(|f|,P)$, hence we have $L < \varepsilon/\delta$.

Now fix $\varepsilon_0$, and pick $\varepsilon = \varepsilon_02^{-n}/n$ and $\delta = 1/n$, and the above paragraph shows that we can cover all points where $|f(x)| \geq 1/n$ by intervals whose total length $L$ is $< \varepsilon_02^{-n}$. Then taking the union of all these intervals over $n \in \mathbb{N}$, we get intervals covering the entire set $\{x \mid |f(x)| > 0\}$ whose total length is $< \varepsilon_0$. Since $\varepsilon_0$ was arbitrary, this completes the proof that this set has measure zero.

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As a last comment, I'll just say that the continuity assumption actually makes this proof way easier, and there's no need for fancy measure theory: If $f(x_0) \neq 0$ then by continuity there is some $\varepsilon > 0$ and $\delta > 0$ such that $|f(x)| \geq \varepsilon$ for $|x - x_0| \leq \delta$, and so you have $\int_a^{b}|f(x)|\, dx \geq \varepsilon \delta$

Look at the set $$A=\{x \in [a,b] \mid f(x) \neq 0\}$$ We want to prove that $$A$$ is of Lebesgue measure zero. The measure of $$A$$ is equal to $$\lambda(A)=\int 1_A d\lambda = \int_A d\lambda(x)$$ Suppose this is non-zero then by the definition of $$A$$ (more precisely the fact that $$\forall x\in A:f(x)\neq0$$) $$0 < \int_A |f(x)| d\lambda(x)$$ Integrating this over the bigger set $$[a,b]$$ (and using that we only use positive functions) gives $$0 < \int_A |f(x)| d\lambda(x)\leq \int_{[a,b]} |f(x)| d\lambda(x)$$ But because we know that $$|f(x)|$$ is Riemann integrable on $$[a,b]$$, we know that the Lebesgue integral and the Riemann integral are equal: $$0 < \int_A |f(x)| d\lambda(x)< \int_a^b |f(x)| dx$$

By contrapostion we have what you asked.

To continue the proof you asked this for, have a look at: Does $f(x)$ is continuous and $f = 0$ a.e. imply $f=0$ everywhere?

• I don't think the OP wants a Lebesgue integral proof.
– zhw.
Commented Aug 8, 2017 at 18:26
• @zhw I think so too, but the OP asks about "almost everywhere" which requires the use of some measure, presumably Lebesque measure, and I see no other way of proving it than using the corresponding integral. The proof is still very elementary I guess Commented Aug 8, 2017 at 18:33
• Well, it seems painful to me, but you can define a set with measure zero (And thus talk about almost everywhere things) without defining measures. Commented Aug 8, 2017 at 18:43
• @LeviathanTheEsper yeah maybe, but what the OP actually needs for his proof strategy to work is not "almost everywhere" but "on a dense set". That is not what the OP asked for tough Commented Aug 8, 2017 at 18:50
• I think if I prove $f=0$ almost everywhere (Except on $A$), and assume $f$ is continuous everywhere, then for every $x\in A$ and every $n\in \mathbb{N}$ you can find $x_n\in [a,b]-A$ such that $|x_n-x|<1/n$. So $x_n\to x$ and $f(x_n)=0$ which by continuity forces $f(x)=0$. Am I wrong? Or are you saying that it's enough to prove that $f=0$ on a dense set (If that's the case I think you're right)?
– Nell
Commented Aug 8, 2017 at 19:00