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Linear Algebra Inner Product Spaces. Students embarking on a linear algebra course should have a thorough knowledge of algebra, and familiarity with analytic geometry and trigonometry. Browse other questions tagged linear-algebra vector-spaces inner-product-space or ask your own question.

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Recall that in your study of vectors, we looked at an operation known as the dot product, and that if we have two vectors in Rn, we simply multiply the components together and sum them up. The Algebraic Tensor Product of Two Normed Linear Spaces. Two important facts of linear algebra are that regardless of the size of the space every vector space has a basis and that every subspace has a complement.

x , whose intended interpretation is that it is the length of the vector x.

A nonempty set S ⊂ V of nonzero vectors is called an orthogonal set if all vectors in S are mutually orthogonal.

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Interchanging the two arguments results in the complex conjugate of the original expression Orthogonal sets Let V be an inner product space with an inner product h·, ·i and the induced norm k · k. A vector space that has an inner product defined on it. The norm induced by an inner product is obtained by taking inner-product is a valid norm.