Understanding the Complex Inner Product: Definition and Importance

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Discussion Overview

The discussion revolves around the definition and significance of the inner product in the context of complex numbers, vectors, and functions. Participants explore the conventions surrounding the inner product, particularly the differences in definitions between mathematical and physical contexts, and the implications of these definitions.

Discussion Character

  • Conceptual clarification
  • Debate/contested
  • Technical explanation

Main Points Raised

  • One participant questions the arbitrary nature of defining the inner product as A*B versus AB*, seeking clarification on the correct definition and its justification.
  • Another participant notes that mathematical texts typically define inner products as linear in the first variable and antilinear in the second, while physics texts often do the opposite, indicating a difference in conventions.
  • A participant emphasizes that the notation A*B and AB* needs clarification regarding whether A and B are complex numbers or n×1 matrices, highlighting that the definitions may not hold in all cases.
  • One contributor points out that for vectors A and B, the inner products A*B and AB* yield different results, questioning whether this discrepancy is merely a convention or has a deeper mathematical reasoning.
  • Another participant argues that the inner product on ℂ is not particularly useful due to its one-dimensional nature, and raises concerns about the definition of the inner product for functions, noting that the product of two functions does not yield a member of ℂ.

Areas of Agreement / Disagreement

Participants express differing views on the conventions of defining inner products, with no consensus reached on the superiority of one definition over another. The discussion remains unresolved regarding the implications of these definitions and their mathematical justification.

Contextual Notes

Participants highlight limitations in the definitions based on the context of complex numbers versus vectors and functions, as well as the potential confusion arising from different conventions in mathematical and physical literature.

unchained1978
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When studying complex numbers/vectors/functions and so forth you constantly encounter the idea of an inner product of two quantities (numbers/vectors/functions). It's represented as A*B is the inner product of two of these, but I've never been convinced why it couldn't also be AB*, as this is some cases yields a different answer. It seems arbitrary to me that it is defined in either way. Can someone explain to me the correct definition and also why it is correct? Any help would be much appreciated.
 
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Most math books define inner products and semi-inner products to be linear in the first variable and antilinear in the second. Most physics books define them to be linear in the second variable and antilinear in the first. These are just two different conventions.

What do you mean by A*B and AB*. Are A and B complex numbers, n×1 matrices, or something else? If they are n×1 matrices, then <A,B>=AB* doesn't work, since the right-hand side is an n×n matrix. (Note that A* and B* are 1×n matrices). But you could define <A,B>=B*A if you want to.
 
Just talking about vectors and functions for the moment. The star denotes the complex conjugate of the element to the left of it in the way I've written it. The motivation for the question is just that, if you consider two vectors A and B, then A*B=/AB* for the general case, and vice versa. I'm trying to understand if it's merely a convention to define it this way or if there exists some mathematical reasoning behind it, because the fact that two different products arise from the same two vectors seems to be a problem to me.
 
The inner product on ℂ is pretty useless, since ℂ is a 1-dimensional vector space.

If the vector space is the set of functions from a set X into ℂ, then <f,g>=f*g isn't an inner product, since f*g is a function, not a member of ℂ. (The "complex conjugate" of a function is defined by f*(x)=f(x)* for all x, and the product of two functions is defined by (fg)(x)=f(x)g(x) for all x, so f*g is the function that takes x to f(x)*g(x)).
 

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