Proof of the Cartan–Dieudonné theorem by induction on the dimension
Builds on Inner productLinear isometryA linear isometry preserves the inner productReflectionOrthogonal projectionOrthogonal complementA space is the direct sum of a subspace and its orthogonal complementDimension of the orthogonal complementA subspace of full dimension is the whole space
Proof
We argue by induction on . A hyperplane of is a subspace of dimension .
- Let be a real inner product space with inner product and norm . For with , set . Over , the inner product is symmetric.
- is the orthogonal complement of the line . If , then by the dimension formula. So is a hyperplane.
- Claim: the reflection in is . Set and .
- Then , so . For , , so .
- Since and the decomposition is unique, the orthogonal projection is . So the reflection is .
- From step 3, and for . Since , we get . So .
- For , let say: every linear isometry of an -dimensional real inner product space is a composition of at most reflections in hyperplanes. Let have dimension and let be a linear isometry.
- If , then is the composition of zero reflections. This covers , where . Now let , assume , and let .
- Choose with , and set . By preservation of inner products, . Write and .
- Then and . Since , .
- By step 3, .
- Let . A reflection keeps norms, since when . So is a linear isometry with .
- Since , we have . Let , a hyperplane by step 2. For , preservation of inner products by gives . So .
- The restriction is a linear isometry of the real inner product space , of dimension .
- By , with , where is the reflection of in a hyperplane of .
- Fix . The orthogonal complement of in has dimension by the dimension formula. Choose in it.
- Then , and by step 2 in . A subspace of full dimension is the whole space, so .
- By steps 3 to 5 applied in , for .
- Let be the reflection of in , a hyperplane of . By step 3 and step 18, for . Also , since .
- Each maps into . So agrees with on , and both fix .
- By the decomposition for the line , each is with and , as . Two linear maps that agree on and on are equal.
- Hence . By step 6, .
- This is a composition of reflections in hyperplanes of . This proves , and the theorem follows by induction.
Idea
If moves a vector , the reflection in the hyperplane orthogonal to swaps and , because they have the same length. Composing with it gives an isometry that fixes , and hence maps the hyperplane orthogonal to to itself. Induction on that hyperplane gives at most more reflections.
Reading path
To understand this page from the ground up, read these 95 pages in order. The foundations come first. The path takes the proofs Proof of the Steinitz exchange lemma by induction, Proof that a subspace of full dimension is the whole space, Proof of the existence of an orthonormal basis by the Gram–Schmidt process, Proof of Grassmann's formula by extending a basis of the intersection, Proof that the Gram–Schmidt vectors are orthogonal, Proof of the polarisation identity, Proof that an orthonormal family is linearly independent, Proof of the formula for the dimension of the orthogonal complement, 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, Proof that a linear isometry preserves the inner product by polarisation, Proof that a space is the direct sum of a finite-dimensional subspace and its orthogonal complement, Proof that a subspace of a finite-dimensional space has smaller or equal dimension, Proof that an intersection of subspaces is a subspace.
- Complex numbers object
- Element definition
- Inner product concept
- Inner product space concept
- Norm induced by an inner product concept
- Proof of Zorn's lemma proof
- Proposition concept
- Vector space definition
- Real and imaginary parts definition
- Set definition
- Disjunction definition
- Implication definition
- Predicate definition
- Inner product definition
- Linear combination definition
- Linear map definition
- Linear subspace definition
- Norm definition
- Complex conjugate 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
- Endomorphism definition
- Linear span definition
- Proof that an intersection of subspaces is a subspace proof
- Sum of subspaces definition
- Normed vector space definition
- Cartesian product definition
- Proof of the polarisation identity proof
- Subset definition
- Union of a family of sets definition
- Uniqueness quantifier definition
- Orthonormal family definition
- Norm induced by an inner product definition
- Orthogonal complement definition
- Intersection of subspaces statement
- Linear isometry definition
- Spanning set definition
- Direct sum of subspaces definition
- Binary relation definition
- Polarisation identity statement
- Proof that an orthonormal family is linearly independent proof
- Gram–Schmidt process concept
- Basis definition
- Proof of the Steinitz exchange lemma by induction proof
- Finite-dimensional vector space definition
- Projection definition
- Antisymmetric relation definition
- Reflexive relation definition
- Transitive relation definition
- Function definition
- Dimension theorem for vector spaces statement
- Orthonormal basis definition
- An orthonormal family is linearly independent statement
- Dimension definition
- Proof that a linear isometry preserves the inner product by polarisation proof
- 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
- A linear isometry preserves the inner product statement
- Gram–Schmidt vectors are orthogonal statement
- Proof that a subspace of a finite-dimensional space has smaller or equal dimension proof
- 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
- Dimension of a subspace statement
- Maximal element definition
- Total order definition
- Upper bound definition
- Proof that a subspace of full dimension is the whole space proof
- Chain definition
- A subspace of full dimension is the whole space statement
- 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
- Proof of Grassmann's formula by extending a basis of the intersection proof
- Existence of an orthonormal basis statement
- Grassmann's formula statement
- Proof that a space is the direct sum of a finite-dimensional subspace and its orthogonal complement proof
- A space is the direct sum of a subspace and its orthogonal complement statement
- Orthogonal projection definition
- Proof of the formula for the dimension of the orthogonal complement proof
- Reflection definition
- Dimension of the orthogonal complement statement
- Proof of the Cartan–Dieudonné theorem by induction on the dimension proof
Where this leads
1 page builds on this one.
Further reading
- Web https://www.cis.upenn.edu/~cis6100/geombchap7.pdf, Lemma 7.1.3 and Theorem 7.2.1
About this page
| Tag | AYYJXYNT01 |
|---|---|
| URI | m2://AYYJXYNT01 |
| Kind | proof |
| Writing | W0 stub |
| MSC | 51F15, 15B10 |
| Proves | Cartan–Dieudonné theorem |
| Uses | Inner product, Linear isometry, A linear isometry preserves the inner product, Reflection, Orthogonal projection, Orthogonal complement, A space is the direct sum of a subspace and its orthogonal complement, Dimension of the orthogonal complement, A subspace of full dimension is the whole space |
| Changed | 4 November 2026 |
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