Difference between Inner Product and Dot Product

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SUMMARY

The inner product and dot product are terms that are used interchangeably, with the dot product typically applied in 2 or 3 dimensions and the inner product used in higher dimensions and Hilbert spaces. The dot product is defined in any R^n or C^n, while the inner product is a more general function applicable to any vector space. Both concepts satisfy specific mathematical properties, including commutativity, distributivity, and scalar multiplication. Importantly, every dot product qualifies as an inner product, and any inner product can be expressed as a dot product in an appropriate orthonormal basis.

PREREQUISITES
  • Understanding of vector spaces
  • Familiarity with R^n and C^n
  • Knowledge of linear combinations
  • Basic principles of the Gram-Schmidt procedure
NEXT STEPS
  • Study the properties of inner products in vector spaces
  • Learn about the Gram-Schmidt orthonormalization process
  • Explore applications of inner products in functional analysis
  • Investigate the differences between inner products in real and complex vector spaces
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Mathematicians, physics students, computer scientists, and anyone interested in linear algebra and vector space theory will benefit from this discussion.

Taturana
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Could someone explain me the difference between the inner product and the dot product?

Thanks all
 
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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.
 
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.
 

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