High School The use of the dx in the quantum state vector integral

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SUMMARY

The discussion centers on the use of the differential element dx in the quantum state vector integral, specifically in the expression $$\left| \psi \right> = \int \psi(x) \left| x \right> dx$$. It clarifies that the trailing dx serves as a measure for the probability density function, allowing for the calculation of probabilities across a continuum. The completeness relation $$\int_{\mathbb{R}} \mathrm{d} x |x \rangle \langle x|=\hat{1}$$ is essential for decomposing the quantum state vector in terms of position-wave functions, paralleling vector decomposition in finite-dimensional spaces.

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etotheipi
As a simple example, the probability of measuring the position between x and x + dx is |\psi(x)|^{2} dx since |\psi(x)|^{2} is the probability density. So summing |\psi(x)|^{2} dx between any two points within the boundaries yields the required probability.

The integral I'm confused about is the expansion of the quantum state vector, like so$$\left| \psi \right> = \int \psi(x) \left| x \right> dx$$If the wavefunction were defined between 0 and 1, and I were to take the left Riemann sum (not rigorously, but just vaguely for explanation purposes), I would get $$\left| \psi \right> = \psi(0) \left| 0 \right> dx + \psi(dx) \left| dx \right> dx + \psi(2dx) \left| 2dx \right> dx + ...$$What is the purpose of the trailing dx in each term (i.e. which part does it multiply to), or is this the completely wrong way to think about it?
 
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This makes use of the socalled completeness relation,
$$\int_{\mathbb{R}} \mathrm{d} x |x \rangle \langle x|=\hat{1},$$
i.e., you can decompose any ket ##|\psi \rangle## in terms of the position-wave function, ##\psi(x)=\langle x|\psi \rangle##,
$$|\psi \rangle = \int_{\mathbb{R}} \mathrm{d} x |x \rangle \langle x|\psi \rangle = \int_{\mathbb{R}} \mathrm{d} x |x \rangle \psi(x).$$
It's like the decomposition of vectors in a finite-dimensional Euclidean vector space with respect to some Cartesian basis ##\vec{e}_j##. A vector ##\vec{V}## has components ##V_j=\vec{e}_j \cdot \vec{V}##, and you can decompose the vector in terms of this basis again as
$$\vec{V}=\sum_{j} (\vec{e}_j \cdot \vec{V}) \vec{e}_j = \sum_{j} V_j \vec{e}_j.$$
Also here you have a completeness relation in terms of the tensor product
$$\sum_j \vec{e}_j \otimes \vec{e}_j=\hat{1}.$$
 
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