How does $d\phi =d\lambda+wd\mu$ define a measure $\phi$?

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In Rudin's proof of the Lebesgue-Radon-Nikodym theorem, he states if $\lambda$ is a positive bounded measure and $\mu$ is a $\sigma$-finite measure, then $$d\phi =d\lambda+wd\mu$$ defines a measure, where $w\in L^1(\mu)$ and $0<w<1$.
My question is: how does that define a measure?
I am aware that $d\bar \mu=wd\mu$ implies that for all measurable, nonnegative functions $g$, $\int gd\bar\mu=\int gwd\mu$. So my first guess was to think that maybe $$d\phi =d\lambda+wd\mu$$ implies that for all measurable, nonnegative functions $g$ $$\int gd\phi =\int g(d\lambda+wd\mu)$$ But I have no idea what to do with the integral on the right. Do we distribute the integrand over the measures and integrate the sum? Do we replace $wd\mu$ with $d\bar\mu$ and suppose $d\lambda+d\bar\mu=d(\lambda+\bar\mu)$ so that at least for a characteristic function $g=\chi _E$ we get $$\int gd\phi =\int gd(\lambda+\bar\mu)=(\lambda+\bar\mu)(E)=\lambda(E)+\bar\mu(E)=\int g d\lambda+\int gwd\mu$$ I do not know what is the convention or the definition of an integral with respect to $\phi$.

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Let's take a look at what Rudin says in his proof (it is due to von Neumann as Rudin mentions).

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Here is Lemma 6.9 (note the last paragraph)

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Here is the definition of the sum of two measures:

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The idea behind the definition is Riesz theorem.

This theorem states, roughly speaking, that every measure is a linear functional and vice versa.

check the wikipedia for more info https://en.wikipedia.org/wiki/Riesz%E2%80%93Markov%E2%80%93Kakutani_representation_theorem

The measure $d\lambda+\omega d\mu$ is, as you mentioned, is the measure on $X$ corresponds to the linear functional $f\mapsto\int f d\lambda + \int f\omega d\mu$ by Riesz theorem.