Inner Product vs Dot Product: Understanding the Difference

Click For Summary
SUMMARY

The discussion clarifies that the dot product is a specific instance of an inner product defined on Rn, while an inner product on a vector space V over complex numbers is a function that assigns a complex number to any two vectors. Key properties of inner products include non-negativity, linearity, and conjugate symmetry. The dot product can be represented in terms of orthonormal bases, establishing a natural isomorphism between V and Rn. Additionally, the conversation touches on the existence of products involving angles, such as the exterior and cross products, but does not establish a corresponding product based on cosine.

PREREQUISITES
  • Understanding of vector spaces and their properties
  • Familiarity with complex numbers and real numbers
  • Knowledge of linear algebra concepts, particularly inner products
  • Basic understanding of trigonometric functions and their applications in geometry
NEXT STEPS
  • Study the properties of inner products in vector spaces
  • Learn about the geometric interpretations of the dot product and cross product
  • Explore the concept of orthonormal bases and their significance in linear algebra
  • Investigate the applications of exterior products in differential geometry
USEFUL FOR

Mathematicians, physics students, and anyone interested in advanced linear algebra concepts, particularly those studying vector spaces and their applications in various fields.

Jhenrique
Messages
676
Reaction score
4
A simple question: what is the difference between inner product and dot product?
 
Physics news on Phys.org
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?
 

Similar threads

  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 12 ·
Replies
12
Views
3K
  • · Replies 33 ·
2
Replies
33
Views
4K
  • · Replies 16 ·
Replies
16
Views
2K
  • · Replies 16 ·
Replies
16
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 14 ·
Replies
14
Views
4K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K