The direct sum of two vector spaces consists of pairs with componentwise operations. A vector space is an internal direct sum of subspaces and exactly when every vector has a unique expression with and .
An orthogonal direct sum is a direct sum whose distinct summands are mutually orthogonal. For and , the Pythagorean identity gives . In a Hilbert space, a closed subspace of a Hilbert space and its orthogonal complement give an orthogonal direct sum of the entire space. The component maps are orthogonal projections and have operator norm one when their ranges are nonzero.
A submodule of a module is a direct summand if some submodule gives . Equivalently, the inclusion has a left inverse R-module homomorphism, or is the image of an idempotent endomorphism of .
For finite-dimensional subspaces of a common vector space,
For every subspace of a finite-dimensional vector space , extending a basis of to a basis of produces a subspace such that .

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In mathematics, particularly in linear algebra and abstract algebra, the concept of a **direct sum** refers to a specific way of combining vector spaces or modules. Here are the key aspects of the direct sum: ### Direct Sum of Vector Spaces 1.