Inner Product vs Dot Product: Understanding the Difference

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Discussion Overview

The discussion centers on the differences between inner products and dot products, exploring their definitions, properties, and relationships within vector spaces, particularly in the context of real and complex numbers. It also touches on related vector products such as the exterior product and cross product.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants assert that the dot product is a specific case of the inner product defined on Rn.
  • One participant provides a detailed definition of an inner product in a complex vector space, outlining its properties and conditions.
  • Another participant raises a question about the existence of a product between vectors that involves the modulus and cosine of the angle, suggesting a potential for scalar or vector results similar to other vector products.

Areas of Agreement / Disagreement

Participants generally agree on the relationship between inner products and dot products, but the discussion remains unresolved regarding the existence of other types of vector products involving cosine.

Contextual Notes

The discussion includes technical definitions and properties that may depend on specific vector space characteristics, such as dimensionality and the nature of the field (real vs. complex numbers). The question raised about additional vector products introduces uncertainty regarding their definitions and applicability.

Jhenrique
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A simple question: what is the difference between inner product and dot product?
 
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The dot product is just a specific inner product on Rn.
 
An "inner product" on a given vector space V, over the complex numbers, is any function that, to any two vectors in U, u and v, assigns the complex number, <u, v> such that
1) For any vector, v, &lt;v, v&gt;\ge 0 and &lt;v, v&gt;= 0 if and only if v= 0.
2) For any vectors, u and v, and any complex number, r, r<u, v>= <ru, v>.
3) For any vectors, u and v, &lt;u, v&gt;= \overline{v, u}.

(If V is a vector space over the real numbers, <u, v> must be real and <u, v>= <v, u>.)

The "dot product on Rn" is an inner product and the converse is almost true:
If we take a basis on the vector space V, consisting of "orthonormal vectors" where "orthogonal" is defined as <u, v>= 0 and "normal" as <v, v>= 1, there is a natural isomorphism from V to Rn, where n is the dimension of V, so we can write u and v as "ordered n-tuples" and the inner product on V is exactly the dot product on Rn.
 
I understood. But, by the way, if there is a product between vectors involving the modulus and the sine of the angle formed and can result or a scalar or a vector (exterior product and cross product), so, similarly, no exist a prodcut between vectors involving the modulus and the cossine of the angle formed that could result or a scalar or a vector too?
 

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