Quantum Superposition, Linear Combinations and Basis

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SUMMARY

The discussion clarifies the distinction between linear combinations and linear superpositions in quantum mechanics. A state in a Hilbert space can be expressed as a linear combination of basis kets, represented as ψ = ∑ai[ψi], where ai are coefficients and [ψi] are the basis vectors. The participants agree that while all linear superpositions are linear combinations, not all linear combinations qualify as superpositions unless the basis kets are eigenstates of a specific operator. This nuanced understanding is essential for grasping the foundational concepts of quantum state representation.

PREREQUISITES
  • Understanding of quantum mechanics terminology, specifically "basis kets" and "eigenstates."
  • Familiarity with linear algebra concepts, particularly "linear combinations" and "vector spaces."
  • Knowledge of Hilbert spaces in quantum mechanics.
  • Basic grasp of operators in quantum mechanics.
NEXT STEPS
  • Study the properties of Hilbert spaces in quantum mechanics.
  • Learn about the role of eigenstates and operators in quantum state representation.
  • Explore the mathematical foundations of linear algebra, focusing on vector spaces and linear combinations.
  • Investigate the implications of superposition in quantum computing and quantum information theory.
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Students and professionals in quantum mechanics, physicists exploring quantum state representations, and anyone interested in the mathematical foundations of quantum theory.

gfghfhghfghfgh
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Hello, just a quick question.

I am aware that a a state in a space can be written as a linear combination of the basis kets of that space

ψ = ∑ai[ψi]

where ai are coefficients and [ψi] are the basis vectors.

I was just wondering is this a linear superposition of states or just a linear combination?

Can it only be a linear superposition if the basis kets are eigenstates of some operator?

Thank you
 
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gfghfhghfghfgh said:
I was just wondering is this a linear superposition of states or just a linear combination?
I don't know if it's necessary to consider them different. The traditional way is that, say you have two vectors ##v_1## and ##v_2##. The linear combination between them is a vector such that ##v = a_1v_1 + a_2v_2## for some scalar ##a_1## and ##a_2##. Very strictly speaking, in that equation ##v_1## and ##v_2## do not superpose, instead ##a_1v_1## and ##a_2v_2## do. Do you get the idea now?
 

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