Are Inner Products and Dot Products Fundamentally the Same?

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Homework Help Overview

The discussion centers around the concepts of inner products and dot products, exploring their definitions and relationships within the context of linear algebra and vector spaces.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the distinction between inner products and dot products, with some noting that the dot product is a specific instance of an inner product. Questions arise regarding examples of inner products that are not dot products, leading to various examples being proposed.

Discussion Status

The conversation is active, with multiple examples of inner products being shared. Some participants provide definitions and properties of inner products, while others reflect on their understanding and past experiences with these concepts. There is no explicit consensus, but several productive lines of inquiry are being explored.

Contextual Notes

Participants mention specific contexts where the term "dot product" is typically used, such as finite Euclidean spaces, and question the application of the term in other mathematical settings, like function spaces.

dimensionless
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Is there any difference between an inner product and a dot product?
 
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Yes:
The dot product is an inner product, whereas "inner product" is the more general term.

EDIT:
I'm getting old. But then again, how could I ever compete with young, strong dragons swooping down on its prey? :frown:
 
What would be an example of an inner product that it not a dot product?
 
Well, as I'm used to it the term "dot product" is usually reserved for an operation on a finite Euclidean space; I haven't seen the term "dot product" being used for inner products defined on function spaces, for example.
 
dimensionless said:
What would be an example of an inner product that it not a dot product?
Just expanding on what arildno said, one specific example is the Frobenius inner product of two matrices. It is defined by:
<A,B>=tr(B*A)
Where B* is the conjugate transpose, or adjoint of B.
 
dimensionless said:
What would be an example of an inner product that it not a dot product?
For continuous functions from [a,b] to R, you can define an inner product <.,.> as:

[tex]\left\langle {f,g} \right\rangle = \int\limits_a^b {f\left( x \right)g\left( x \right)dx}[/tex]

This is also an example on that Mathworld page.
 
What would be an example of an inner product that it not a dot product?
(a, b) . (c, d) = ac + 2bd
(a, b) . (c, d) = (a+b)(c+d) + (a-b)(c-d)

(a) . (b) = 2ab
 
Hurkyl said:
(a, b) . (c, d) = ac + 2bd
(a, b) . (c, d) = (a+b)(c+d) + (a-b)(c-d)

(a) . (b) = 2ab

Are these postulates?
 
  • #10
No, you can show that they satisfy the PROPERTIES of the inner product:
To take the first:
1. (a,b).(a,b)=a^2+2b^2>0 unless a=b=0
2. (a,b).(c,d)=ac+2bd=ca+2db=(c,d).(a,b)
and so on with the rest of an inner product's properties.
 
  • #11
I wish someone had explained that difference to me 30+ years ago, when I was first learning about vectors and multidimensional analysis. I got to university thinking that 'dot' and 'inner' product were the same, and it was terribly confusing when an inner product was introduced with a different meaning than a dot product.
 
  • #12
The way I sort of organized the concepts to myself was like this:
General terms:
Inner/Outer products
Special terms:
Dot/cross products
Scalar/vector products

This was at least helpful for me.
 
  • #13
arildno said:
General terms:
Inner/Outer products

There's an outer product now?
 
  • #14
Yup. It's commonly called the tensor or direct product.
 
  • #15
Are these postulates?
No -- they are definitions of three different inner products. The first two are on R², and the third is on R.
 
  • #16
The theoretical "meat" of the Gram-Schmidt orthogonaliztion process is that any inner product is a dot product in some basis. Given an inner product, choose a basis and use Gram-Schmidt to derive an orthonormal basis {e1, e2,...,en}. For any vectors u,v, write u= a1e1+ ... , v= b1e1+... . Then the inner product <u,v>= a1b1+... + anbn.

Take a look at Hurkyl's examples:
(a, b) . (c, d) = ac + 2bd
(a, b) . (c, d) = (a+b)(c+d) + (a-b)(c-d)

(a) . (b) = 2ab
Starting from the basis {(1, 0), (0,1)}, (or just (1) for the third example) use Gram-Schmidt with each of these inner products to derive an orthonormal basis and show that the inner product is the dot product in that basis.
 

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