Linear and multilinear algebra; matrix theory Proof
Proof of Sylvester's law of inertia by comparing subspaces
Builds on Symmetric matrixInvertible matrixTranspose of a productLinear independenceLinear spanDimensionGrassmann's formulaDimension of a subspaceDimension of the coordinate space
Proof
We show that the number of positive entries is the same, by finding two subspaces that would have to meet.
- Let for . Let be the diagonal entries of , and those of .
- For , the transpose of a product gives .
- In the same way, for .
- Let be the number of with , and the number of with . Let and .
- Let be the span of the columns with . Let be the span of the columns with .
- The columns of an invertible matrix are linearly independent: if , then . The same holds for .
- By step 6 and the definition of dimension, and .
- Let with . Then , where and for . By step 2, .
- Let . Then , where for . By step 3, .
- By steps 8 and 9, , so .
- By Grassmann's formula, .
- The subspace lies in , which has dimension . By the dimension of a subspace, , so .
- Exchanging the roles of and gives . So .
- The matrix is symmetric, with and . The positive entries of are the negative entries of .
- Applying step 13 to , the matrices and have the same number of negative diagonal entries.
- The number of zero diagonal entries is minus the numbers of positive and negative entries. By steps 13 and 15, it is also the same for and .
Idea
The positive entries of give a subspace of dimension on which the form is positive. The other entries of give a subspace of dimension on which it is not positive. These subspaces meet only in , so their dimensions add to at most , which forces .
Reading path
To understand this page from the ground up, read these 65 pages in order. The foundations come first. The path takes the proofs Proof of the Steinitz exchange lemma by induction, Proof of Grassmann's formula by extending a basis of the intersection, Proof that the coordinate space F^n has dimension n, Proof of the formula for the transpose of a product, Proof that every linearly independent set extends to a basis, by Zorn's lemma, Proof of Zorn's lemma, Proof that a subspace of a finite-dimensional space has smaller or equal dimension, Proof that an intersection of subspaces is a subspace.
- Coordinate space object
- Element definition
- Identity matrix object
- Matrix definition
- Proof of Zorn's lemma proof
- Proposition concept
- Standard basis object
- Vector space definition
- Set definition
- Matrix multiplication definition
- Square matrix definition
- Transpose definition
- Disjunction definition
- Implication definition
- Predicate definition
- Linear combination definition
- Linear subspace definition
- Family of sets definition
- Ordered pair definition
- Invertible matrix definition
- Union definition
- Proof of the formula for the transpose of a product proof
- Symmetric matrix definition
- Existential quantifier definition
- Universal quantifier definition
- Linear independence definition
- Linear span definition
- Proof that an intersection of subspaces is a subspace proof
- Sum of subspaces definition
- Cartesian product definition
- Transpose of a product statement
- Union of a family of sets definition
- Subset definition
- Uniqueness quantifier definition
- Intersection of subspaces statement
- Spanning set definition
- Binary relation definition
- Finite-dimensional vector space definition
- Basis definition
- Proof of the Steinitz exchange lemma by induction proof
- Antisymmetric relation definition
- Reflexive relation definition
- Transitive relation definition
- Dimension definition
- Dimension theorem for vector spaces statement
- Function definition
- Steinitz exchange lemma statement
- Preorder definition
- Choice function definition
- Proof that the coordinate space F^n has dimension n proof
- Proof that a subspace of a finite-dimensional space has smaller or equal dimension proof
- Partial order definition
- Dimension of the coordinate space statement
- Axiom of choice statement
- Dimension of a subspace 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 Grassmann's formula by extending a basis of the intersection proof
- Grassmann's formula statement
- Proof of Sylvester's law of inertia by comparing subspaces proof
Where this leads
2 pages build on this one.
Further reading
About this page
| Tag | RDKYJR8P1R |
|---|---|
| URI | m2://RDKYJR8P1R |
| Kind | proof |
| Writing | W0 stub |
| MSC | 15A63, 11E04 |
| Proves | Sylvester's law of inertia |
| Uses | Symmetric matrix, Invertible matrix, Transpose of a product, Linear independence, Linear span, Dimension, Grassmann's formula, Dimension of a subspace, Dimension of the coordinate space |
| Changed | 4 November 2026 |
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