Linear operator and linear vector space?

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Discussion Overview

The discussion revolves around the concepts of linear operators and linear vector spaces in the context of quantum mechanics. Participants explore the definitions and implications of these concepts, particularly how they relate to the axioms of quantum mechanics and linear algebra.

Discussion Character

  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • One participant asks for clarification on the meaning of linearity in operators and vector spaces within quantum mechanics.
  • Another participant explains that states in quantum mechanics form a vector space, which is inherently linear, referencing foundational concepts from linear algebra.
  • A participant describes the definition of a linear operator and outlines the properties of a linear vector space, detailing the requirements for closure under addition and scalar multiplication.

Areas of Agreement / Disagreement

Participants provide complementary explanations, but there is no explicit consensus on the implications or applications of these concepts in quantum mechanics. The discussion remains open-ended with various aspects being explored.

Contextual Notes

The discussion touches on foundational axioms of quantum mechanics and the mathematical definitions of linear operators and vector spaces, but does not resolve any deeper implications or applications of these concepts.

wasi-uz-zaman
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hi, please tell me what do we mean when we say in quantum mechanics operators are linear and also vector space is also linear ?
 
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Its to do with the axioms of QM.

At the starting level we say the states form a vector space - and by definition vector spaces are linear - as hopefully you have learned in a course of linear algebra.

The first axioms of QM is that observables are hermitian linear operators such that the eigenvalues (necessarily real since the operator is hermitian) are the possible outcomes of the observation associated with the observable.

The second axiom is the so called Born rule. If a system is in state u and it is observed with observable O the expected value of the outcome is <u|O|u>.

There is more that can be said at an advanced level - especially the very important Gleason's Theorem - see post 137:
https://www.physicsforums.com/threads/the-born-rule-in-many-worlds.763139/page-7

But basically linear is associated the vector space language QM is expressed in.

Thanks
Bill
 
An operator R defined on a set S of functions or vectors over a field F (with + and ×)[ with multiplication * between elements of F and elements of S] is linear if, for all f, g in S and all a in F, R(f⊕g) = R(f) ⊕ R(g), and R(s*f) = s*R(f).

A linear vector space is a set S of vectors closed under addition ⊕ and closed under multiplication ⊗ between scalars [from a field F (with +, ×)] and vectors is defined, such that vector addition is associative and commutative, there is a null vector and every vector has an additive inverse in S, and scalar multiplication is distributive: (a+b)*v = a*v⊕v*b, a(v⊕w) = a*v⊕a*w, and finally (a×b)*v = a*(b*v)
 
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