Difference between Inner Product and Dot Product

In summary, the terms "inner product" and "dot product" are often used interchangeably and mean the same thing. However, there is a technical difference in that the dot product is defined in any R^n or C^n, while an inner product is defined as a function from a pair of vectors to the real numbers, satisfying certain properties. Additionally, any dot product can be expressed as an inner product in a chosen orthonormal basis.
  • #1
Taturana
108
0
Could someone explain me the difference between the inner product and the dot product?

Thanks all
 
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  • #2
There really isn't any. The terms are used more or less interchangeably. For 2 or 3 dimensions dot product is usually used, while for higher dimensions and Hilbert space, inner product is usually used, but they mean the same thing.
 
  • #3
There is, in a sense, a technical difference. The "dot product" is defined in any [itex]R^n[/itex] (or [itex]C^n[/itex] while an "inner product" is any function from a pair of vectors, in any vector space, to the real numbers, satisfying
1) <u, v>= <v, u> (or, if the vector space is over the complex numbers, the complex conjugate of <v, u>.
2) <u+ v, w>= <u, w>+ <v, w>.
3) <ku, v>= k<u, v> for any number k.

Of course, any dot product is an inner product.

Going the other way, if we choose an orthonormal basis for the vector space, [itex]\{v_1, v_2, v_3, \cdot\cdot\cdot, v_n\}[/itex] any vectors u, and v, can be written as a linear combination of them, and then write the inner product as a dot product of those coefficients. The theoretical "meat" of the Gram-Schmidt procudure (that such an orthonormal basis exists) is that every inner product is a dot product- in some basis.
 

1. What is the difference between inner product and dot product?

The inner product and dot product are two mathematical operations that are closely related. The main difference between them lies in the type of vectors they are applied to. The inner product is defined for both real and complex vectors, while the dot product is only defined for real vectors.

2. How are the inner product and dot product calculated?

The inner product of two vectors a and b is calculated by multiplying the corresponding components of the vectors and then summing the results. This can be represented as a · b. The dot product, on the other hand, is calculated by taking the dot product of the two vectors and then dividing by the magnitude of the vectors. This can be represented as a · b = |a||b|cos(theta), where theta is the angle between the two vectors.

3. What is the geometric interpretation of the inner product and dot product?

The inner product of two vectors can be thought of as a measure of how much the two vectors are pointing in the same direction. It is also related to the projection of one vector onto the other. The dot product, on the other hand, can be interpreted as the product of the magnitudes of the two vectors and the cosine of the angle between them. It is related to the concept of work and energy in physics.

4. How are the inner product and dot product used in real life?

The inner product and dot product have numerous applications in mathematics, physics, and engineering. They are used in vector calculus, linear algebra, and signal processing. In real life, they are used in areas such as computer graphics, image processing, and machine learning to calculate angles, distances, and projections between vectors.

5. Can the inner product and dot product be generalized to higher dimensions?

Yes, both the inner product and dot product can be extended to higher dimensions. In fact, the inner product can be defined for any vector space, while the dot product can be defined for any Euclidean space. However, their properties and geometric interpretations may differ in higher dimensions.

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