Proof that a space is the direct sum of a finite-dimensional subspace and its orthogonal complement
Builds on Inner productOrthogonal complementDirect sum of subspacesLinear subspaceExistence of an orthonormal basisOrthonormal basisCoordinates in an orthonormal basis
Proof
We use an orthonormal basis of to split each vector, and then show that .
- Let be an inner product space over or , with inner product . Let be a finite-dimensional subspace of , and let be its orthogonal complement.
- For all and , conjugate symmetry and linearity in the first argument give . In the same way, is additive.
- is a subspace. Indeed, for all . If and , then for all .
- The restriction of to is an inner product on . So is a finite-dimensional inner product space, and it has an orthonormal basis .
- Let . Set , which lies in , and . Then .
- For each , linearity in the first argument and orthonormality give . So .
- Let . By the formula for coordinates in , with . By step 2, .
- Hence . So .
- Let . Since and , we get . By positivity of the inner product, .
- Let and with . Then lies in and in the subspace . By step 9, , and so .
- By steps 8 and 10 and the equivalent form of the definition of the direct sum, .
Idea
For an orthonormal basis of , the vector is the part of in . The remainder has zero inner product with each , so it lies in . Uniqueness holds because a vector orthogonal to itself is zero.
Reading path
To understand this page from the ground up, read these 66 pages in order. The foundations come first. The path takes the proofs Proof of the Steinitz exchange lemma by induction, Proof of the existence of an orthonormal basis by the Gram–Schmidt process, Proof that the Gram–Schmidt vectors are orthogonal, Proof that an orthonormal family is linearly independent, Proof that every linearly independent set extends to a basis, by Zorn's lemma, Proof of the formula for coordinates in an orthonormal basis, Proof of Zorn's lemma, Proof that n independent or n spanning vectors in an n-dimensional space form a basis.
- Element definition
- Proof of Zorn's lemma proof
- Proposition concept
- Vector space definition
- Set definition
- Disjunction definition
- Implication definition
- Predicate definition
- Inner product definition
- Linear combination definition
- Linear subspace definition
- Norm definition
- Family of sets definition
- Ordered pair definition
- Union definition
- Existential quantifier definition
- Universal quantifier definition
- Inner product space definition
- Orthogonal vectors definition
- Linear independence definition
- Linear span definition
- Sum of subspaces definition
- Cartesian product definition
- Subset definition
- Union of a family of sets definition
- Uniqueness quantifier definition
- Norm induced by an inner product definition
- Orthogonal complement definition
- Orthonormal family definition
- Spanning set definition
- Direct sum of subspaces definition
- Binary relation definition
- Proof that an orthonormal family is linearly independent proof
- Basis definition
- Finite-dimensional vector space definition
- Gram–Schmidt process concept
- Proof of the Steinitz exchange lemma by induction proof
- Antisymmetric relation definition
- Reflexive relation definition
- Transitive relation definition
- Function definition
- Dimension theorem for vector spaces statement
- Dimension definition
- Orthonormal basis definition
- An orthonormal family is linearly independent statement
- Proof that the Gram–Schmidt vectors are orthogonal proof
- Steinitz exchange lemma statement
- Preorder definition
- Choice function definition
- Proof of the formula for coordinates in an orthonormal basis proof
- Gram–Schmidt vectors are orthogonal statement
- Proof that n independent or n spanning vectors in an n-dimensional space form a basis proof
- Partial order definition
- Axiom of choice statement
- Coordinates in an orthonormal basis statement
- Linearly independent set of the right size is a basis statement
- Maximal element definition
- Total order definition
- Upper bound definition
- Chain definition
- Zorn's lemma statement
- Proof that every linearly independent set extends to a basis, by Zorn's lemma proof
- Every linearly independent set extends to a basis statement
- Proof of the existence of an orthonormal basis by the Gram–Schmidt process proof
- Existence of an orthonormal basis statement
- Proof that a space is the direct sum of a finite-dimensional subspace and its orthogonal complement proof
Where this leads
88 pages build on this one.
- Singular value decomposition
- Reflection
- Spectral theorem
- Least squares
- Spectral theorem for Hermitian matrices
- Dimension of the orthogonal complement
- Polar decomposition
- Orthogonal projection is the closest point
- Principal axis theorem
- Orthogonal complement of the orthogonal complement
- Orthogonal projection
- A space is the direct sum of a subspace and its orthogonal complement
- Cartan–Dieudonné theorem
- Earthquake location problem
- Non-negative least squares
- Proof of the principal axis theorem from the spectral theorem
- Hellinger–Reissner principle
- Conjugate residual method
- Full waveform inversion
- Local regression
- Geophysical inversion
- Proof of the singular value decomposition from the spectral theorem
- Hilbert–Schmidt expansion theorem
- Minimal residual method
- Toeplitz operator
- Moving horizon estimation
- Céa's lemma
- Bilinear series of a symmetric kernel
- Ordinary least squares
- Proof that the orthogonal projection is the closest point
- Smoothing spline
- Finite element method in structural mechanics
- Lax–Milgram theorem
- Uhlmann's theorem
- Response surface methodology
- Nonlinear regression
- Spectral theorem for compact self-adjoint operators
- Courant–Fischer characterization of characteristic values
- Generalized minimal residual method
- Minimum total potential energy principle
- Proof of the spectral theorem for self-adjoint operators by induction on the dimension
- Data assimilation
- Principle of material frame-indifference
- Proof of the Cartan–Dieudonné theorem by induction on the dimension
- Mixed state
- Purification of a quantum state
- Gauss–Newton algorithm
- Hilbert space adjoint
- Lidskii's trace formula for integral operators
- Proof that the orthogonal complement of the orthogonal complement is the subspace
- Spectrum of the Laplace–Beltrami operator
- Principal stresses
- Hilbert projection theorem
- Eckart–Young theorem
- Proof of the formula for the dimension of the orthogonal complement
- Korn's inequality
- Ridge regression
- L-curve
- Proof of the polar decomposition from the singular value decomposition
- Biconjugate gradient stabilized method
- Galerkin method
- GNSS positioning
- System identification
- Schmidt decomposition
- Operator monotone function
- Empirical risk minimization
- Isotonic regression
- Projection body
- Mercer's theorem
- Proof of the spectral theorem for Hermitian matrices
- Bra–ket notation
- Principal component analysis
- Hu–Washizu principle
- Inertia tensor and principal axes
- Bidiagonalization
- Ladyzhenskaya–Babuška–Brezzi condition
- Levenberg–Marquardt algorithm
- Schur product theorem
- Riesz representation theorem
- Box–Jenkins method
- Singular values of a compact operator
- Lasso
- Householder transformation
- Numerical methods for linear least squares
- Schmidt's singular value decomposition of a kernel
- Polar decomposition of the deformation gradient
- Channel capacity of a quantum channel
- Lomb–Scargle periodogram
Further reading
- Web https://linear.axler.net/LADR4e.pdf, Theorem 6.49
About this page
| Tag | T8GV9PYHDQ |
|---|---|
| URI | m2://T8GV9PYHDQ |
| Kind | proof |
| Writing | W0 stub |
| MSC | 46C05 |
| Proves | A space is the direct sum of a subspace and its orthogonal complement |
| Uses | Inner product, Orthogonal complement, Direct sum of subspaces, Linear subspace, Existence of an orthonormal basis, Orthonormal basis, Coordinates in an orthonormal basis |
| Changed | 4 November 2026 |
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