The inner product is an operation between two vectors that results in a scalar value. Given two vectors,
The inner product between two real numbers is the product of numbers.
In Euclidean space, the inner product is the dot product between vectors.
In the vector space of real functions on a closed interval
Let
Symmetry:
Distributivity:
Homogenity:
Positivity:
An inner product space is a vector space
The inner product defines the following concepts in an inner product space.
The norm is the square root of the inner product of the vector with itself.
The distance is the norm of the difference between the vectors.
The angle between vectors is the inverse cosine of the normalized inner product.
Two vectors are said to be orthogonal if their inner product is zero, i.e.,
Geometrically, orthogonal vectors are perpendicular to each other.
In conclusion, the inner product is an operation that calculates a scalar value from two vectors, providing essential properties and applications in various mathematical contexts such as vector spaces and inner product spaces.
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