Proof of the Euler line theorem by vectors
Builds on TriangleCircumcentreCentroidOrthocentreAltitude of a triangleCollinear pointsAffine spanAffine combinationDot productEuclidean distanceRank–nullity theorem
Proof
We argue with vectors in .
- Let be a triangle in , and let be its plane, the affine span of , , . Let be the span of and . Then .
- The points , , are not collinear, so and are linearly independent, and has dimension .
- Let be the circumcentre. It lies in and satisfies for some .
- Define the point . It is the affine combination of , , , with the weights . These four points lie in , so .
- With the dot product, we compute .
- This equals by step 3.
- In the same way, and .
- Let be the foot of the altitude from , so with .
- Then . Also , since is on the line and is not.
- The map , , is linear. It is not zero, because and .
- By the rank–nullity theorem, the kernel of has dimension . By step 9, it contains the nonzero vector , so it is the span of .
- By steps 4 and 6, and . So is a multiple of , and lies on the line through and .
- That line contains the altitude from . In the same way, steps 7 to 12 show that lies on the lines of the altitudes from and from .
- The altitude lines from and are distinct. Otherwise this line is , so is orthogonal to and to . Then is orthogonal to , so , which is false. Two distinct lines meet in at most one point. By the definition of the orthocentre, is the common point of the three altitude lines. Since is also a common point, , that is, .
- The centroid is , so . This gives .
- Each difference of two points of is a multiple of , because and . So the span of these differences has dimension at most , and , , are collinear.
- Now suppose that . Put , and . Then and .
- From we get . Hence .
- Then the distance satisfies .
- The same computation for the pairs and gives . So the triangle is equilateral.
- By contraposition, if is not equilateral, then . Then there is exactly one line through and , and by step 16 it contains . This line is the Euler line.
Idea
The point is easy to test against each altitude. The dot product with a side becomes a difference of two squared radii, which is zero. So this point is the orthocentre, and comparing it with gives the collinearity at once.
Reading path
To understand this page from the ground up, read these 74 pages in order. The foundations come first. The path takes the proofs Proof of the Steinitz exchange lemma by induction, 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 of the rank–nullity theorem by extending a basis of the kernel.
- Affine combination concept
- Affine span concept
- Altitude of a triangle concept
- Basis concept
- Centroid concept
- Circumcentre concept
- Collinear points concept
- Dimension concept
- Dot product concept
- Element definition
- Euclidean distance concept
- Image of a linear map concept
- Kernel of a linear map concept
- Linear independence concept
- Linear map concept
- Linear subspace concept
- Nullity concept
- Orthocentre concept
- Proof of Zorn's lemma proof
- Proposition concept
- Rank of a linear map concept
- Spanning set concept
- Triangle concept
- Vector space definition
- Set definition
- Disjunction definition
- Implication definition
- Predicate definition
- Linear combination definition
- Linear map definition
- Linear subspace definition
- Family of sets definition
- Ordered pair definition
- Existential quantifier definition
- Universal quantifier definition
- Union definition
- Linear independence definition
- Image of a linear map definition
- Kernel of a linear map definition
- Linear span definition
- Cartesian product definition
- Union of a family of sets definition
- Uniqueness quantifier definition
- Subset definition
- 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
- Function definition
- Dimension definition
- Dimension theorem for vector spaces statement
- Steinitz exchange lemma statement
- Preorder definition
- Choice function definition
- Proof that a subspace of a finite-dimensional space has smaller or equal dimension proof
- Rank of a linear map definition
- Nullity definition
- Partial order definition
- 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 the rank–nullity theorem by extending a basis of the kernel proof
- Rank–nullity theorem statement
- Proof of the Euler line theorem by vectors proof
Where this leads
1 page builds on this one.
Further reading
- Web https://en.wikipedia.org/wiki/Euler_line, A vector proof
About this page
| Tag | X90TK61BYB |
|---|---|
| URI | m2://X90TK61BYB |
| Kind | proof |
| Writing | W0 stub |
| MSC | 51M04 |
| Proves | Euler line |
| Uses | Triangle, Circumcentre, Centroid, Orthocentre, Altitude of a triangle, Collinear points, Affine span, Affine combination, Dot product, Euclidean distance, Rank–nullity theorem |
| Changed | 4 November 2026 |
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