Why does the description of a composite system involve a tensor product?

In summary, the conversation discusses the use of tensor product in the description of composite systems, as well as its application in single particle systems. The tensor product is an abstract representation that combines two independent spaces, vectors, or tensors into one, while preserving their linearity. This allows for a more intuitive understanding of the relationship between different systems.
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prabin
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Can anyone answer me that why the description of composite system involve tensor product ? Is there any way to realize this intuitively ?
 
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The tensor product is not only used for composite systems, even for a single particle moving in space the 3d base kets are built as a product of 1d kets

$$\left|x,y,z\right\rangle =\left|x\right\rangle \otimes\left|y\right\rangle \otimes\left|z\right\rangle $$

As I see it, the tensor product is an abstract formalization of the following fact: Let ##\psi(x_{1,}x_{2})## be a two-particle wave function and ##{\phi_{n}(x)}## an orthogonal basis of functions for the one particle Hilbert space ##L^{2}## (say, the Hermite polynomials). Then you can write ##\psi(x_{1,}x_{2})## as a linear combination of functions of the form ##\phi_{n}(x_{1})\phi_{m}(x_{2})##. If we write this using an abstract vector, we are basically defining a tensor product.
 
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The tensor product is the mathematical respresentation of two independent spaces, two independent unit vectors/kets or two independent tensors to be viewed as one. The context is linearity, and the tensor product preserves the linearity of both factors in such a way that the restriction to one of both (via the trace over the other) returns the original vector/ket/space/tensor.
 
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1. Why is a tensor product used to describe a composite system?

A tensor product is used to describe a composite system because it allows for the combination of two or more systems into a single, larger system. This is particularly useful in quantum mechanics, where the state of a composite system is not simply the sum of the states of its individual components.

2. How does a tensor product describe the entanglement of two systems?

A tensor product is used to describe the entanglement of two systems by representing the combined state of the systems as a single, entangled state. This entangled state cannot be separated into individual states for each system, and thus the systems are considered to be entangled.

3. Can a tensor product be used to describe classical systems?

Yes, a tensor product can be used to describe classical systems, but it is most commonly used in quantum mechanics. In classical systems, the state of a composite system can be described as the product of the states of its individual components, so a tensor product is not necessary.

4. What are the properties of a tensor product?

The properties of a tensor product include linearity, associativity, and distributivity. Linearity means that the tensor product is distributive over addition and scalar multiplication. Associativity means that the order of the tensor products can be changed without affecting the result. Distributivity means that the tensor product is distributive over addition of two systems.

5. How does a tensor product relate to the concept of Hilbert spaces?

A tensor product is used to combine two or more Hilbert spaces into a larger Hilbert space. This allows for the description of composite systems in quantum mechanics, where the state of a system is represented by a vector in a Hilbert space. The tensor product of Hilbert spaces is also used to describe the entanglement of quantum systems.

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