Definition of Hermitian product

In summary: I'll leave that for the reader.Hi, \overline{<v,w>}=<w,v> is shorthand for <v,v> is real and non-negative.<v,v> is automatically real from the property:\overline{<v,w>}=<w,v>Just figured that out as well, thanks!In summary, the definition of the Hermitian product states that if the complex number <v.v> is real and non-negative, then <v.v> >= 0.
  • #1
A_B
93
1
Hi,

In the definition of the Hermitian product is says that <v.v> >= 0. But <v.v> is a complex number, how is "larger then" defined for a complex number? Does the definition refer to the length of the complex number?

Thanks
 
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  • #2
<v.v> >= 0 is shorthand for <v,v> is real and non-negative.
 
  • #3
<v,v> is automatically real from the property:

[tex]\overline{<v,w>}=<w,v>[/tex]
 
  • #4
Just figured that out as well, thanks!
 
  • #5
A_B said:
Hi,

In the definition of the Hermitian product is says that <v.v> >= 0. But <v.v> is a complex number, how is "larger then" defined for a complex number? Does the definition refer to the length of the complex number?

Thanks

<< Moderator Note: Bob Engineer quoted the below defintion directly from Wolfram without attribution -- we are adding that attribution now and enclosing it in a quote box >>

http://mathworld.wolfram.com/HermitianInnerProduct.html

Mathworld said:
A Hermitian inner product on a complex vector space V is a complex-valued bilinear form on V which is antilinear in the second slot, and is positive definite. That is, it satisfies the following properties, where z^_ denotes the complex conjugate of z.

1. <u+v,w>=<u,w>+<v,w>

2. <u,v+w>=<u,v>+<u,w>

3. <alphau,v>=alpha<u,v>

4. <u,alphav>=alpha^_<u,v>

5. <u,v>=<v,u>^_

6. <u,u>>=0, with equality only if u=0
 
Last edited by a moderator:
  • #6
Bob Engineer said:
...a complex-valued bilinear form on V which is antilinear in the second slot...
I just want to add that physicists use the convention that it's linear in the second variable and antilinear in the first. What you're describing is the convention mathematicians are using.

One more thing. I'm not familiar with the term "hermitian product" or "hermitian inner product". Most books just call it an "inner product". This term always refers to a bilinear form when we're dealing with a vector space over the real numbers, and a sesquilinear form when we're dealing with a vector space over the complex numbers.

bilinear=linear in both variables.
sesquilinear=linear in one of the variables, and antilinear in the other.

Oh yeah, that means that you should have said sesquilinear where you said bilinear. :smile:
 
  • #7
Sometimes we want to study more general spaces (with regular but indefinite metric). Then condition 6) is replaced by

[itex]<u,v> = 0[/itex] for all [itex]v[/itex] if and only if [itex]u=0[/tex]

That is sufficient for finite dimensional spaces. For infinite dimensional spaces, if the scalar product is indefinite, further conditions are needed to select the regular cases.
 

Related to Definition of Hermitian product

1. What is a Hermitian product?

A Hermitian product is a type of inner product defined on complex vector spaces. It is similar to the dot product in real vector spaces, but it takes into account the complex conjugate of one of the vectors.

2. How is a Hermitian product calculated?

To calculate a Hermitian product, you take the complex conjugate of one of the vectors and then multiply the corresponding components of the two vectors together. Then, you sum up all of these products to get the final result.

3. What are the properties of a Hermitian product?

A Hermitian product has several important properties, including conjugate symmetry, linearity in the first argument, and positive-definiteness. These properties allow for useful applications in quantum mechanics and other areas of mathematics.

4. How is a Hermitian product different from a dot product?

A Hermitian product differs from a dot product in that it takes into account the complex conjugate of one of the vectors. This allows for a more accurate representation of complex vector spaces and has important implications in quantum mechanics.

5. What are some practical applications of Hermitian products?

Hermitian products have many applications in mathematics and physics, particularly in quantum mechanics. They are also used in signal processing, image processing, and other areas of engineering. Additionally, Hermitian matrices (matrices whose conjugate transpose is equal to itself) are used in solving systems of linear equations.

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