Math 2.0

Geometry Proof

Proof of the angle bisector theorem and its converse with unit vectors

Builds on TriangleAngle at a pointEuclidean distanceCollinear pointsLine segmentLength of a vectorDot productLinear independenceCauchy–Schwarz inequalityArccosine

Proof

We reduce both directions to one identity for dot products with unit vectors.

  1. Let a=d(B,C)a = d(B, C), b=d(A,C)b = d(A, C) and c=d(A,B)c = d(A, B), with the Euclidean distance dd. The vertices of the triangle are distinct, so a,b,c>0a, b, c > 0.
  2. Since DD is a point of the segment BCBC, there is t∈[0,1]t \in [0, 1] with D=(1−t)B+tCD = (1 - t) B + t C.
  3. Then D−B=t(C−B)D - B = t (C - B) and D−C=(1−t)(B−C)D - C = (1 - t)(B - C). So d(B,D)=tad(B, D) = t a and d(D,C)=(1−t)ad(D, C) = (1 - t) a.
  4. We have D≠AD \neq A. Otherwise AA lies on the line BCBC, and the vertices are collinear. So the angles ∠BAD\angle BAD and ∠DAC\angle DAC are defined.
  5. Let u=B−Au = B - A, v=C−Av = C - A and w=D−A=(1−t)u+tvw = D - A = (1 - t) u + t v. Let e=u/ce = u / c and f=v/bf = v / b. These have length 11.
  6. By the definition of the angle, with the dot product, cos⁡∠BAD=u⋅wc ∥w∥=e⋅w∥w∥\cos \angle BAD = \dfrac{u \cdot w}{c \, \norm{w}} = \dfrac{e \cdot w}{\norm{w}} and cos⁡∠DAC=w⋅v∥w∥ b=f⋅w∥w∥\cos \angle DAC = \dfrac{w \cdot v}{\norm{w} \, b} = \dfrac{f \cdot w}{\norm{w}}.
  7. Both angles lie in [0,π][0, \pi], where the cosine is injective by the definition of the arccosine. So ∠BAD=∠DAC\angle BAD = \angle DAC if and only if (e−f)⋅w=0(e - f) \cdot w = 0.
  8. By step 5, w=(1−t)c e+tb fw = (1 - t) c \, e + t b \, f. Since e⋅e=f⋅f=1e \cdot e = f \cdot f = 1, we get (e−f)⋅e=1−e⋅f(e - f) \cdot e = 1 - e \cdot f and (e−f)⋅f=e⋅f−1(e - f) \cdot f = e \cdot f - 1.
  9. Hence (e−f)⋅w=(1−t)c (1−e⋅f)−tb (1−e⋅f)=((1−t)c−tb)(1−e⋅f)(e - f) \cdot w = (1 - t) c \, (1 - e \cdot f) - t b \, (1 - e \cdot f) = \left( (1 - t) c - t b \right) (1 - e \cdot f).
  10. The vectors uu and vv are linearly independent, because the vertices are not collinear. By the Cauchy–Schwarz inequality and its case of equality, u⋅v<cbu \cdot v < c b. So e⋅f<1e \cdot f < 1.
  11. By steps 7, 9 and 10, ∠BAD=∠DAC\angle BAD = \angle DAC if and only if (1−t)c=tb(1 - t) c = t b.
  12. Assume that ∠BAD=∠DAC\angle BAD = \angle DAC. Then (1−t)c=tb(1 - t) c = t b. If t=1t = 1, this says 0=b0 = b, which is false. So t<1t < 1, and d(D,C)=(1−t)a>0d(D, C) = (1 - t) a > 0.
  13. By steps 3 and 12, d(B,D)d(D,C)=t1−t=cb=d(A,B)d(A,C)\dfrac{d(B, D)}{d(D, C)} = \dfrac{t}{1 - t} = \dfrac{c}{b} = \dfrac{d(A, B)}{d(A, C)}. This proves the first claim.
  14. Conversely, assume that d(B,D)d(D,C)=d(A,B)d(A,C)\dfrac{d(B, D)}{d(D, C)} = \dfrac{d(A, B)}{d(A, C)}. The quotient on the left is defined, so d(D,C)>0d(D, C) > 0 and t<1t < 1.
  15. By step 3, the assumption says t1−t=cb\dfrac{t}{1 - t} = \dfrac{c}{b}, that is tb=(1−t)ct b = (1 - t) c. By step 11, ∠BAD=∠DAC\angle BAD = \angle DAC.

Idea

The ray ADAD makes equal angles with ABAB and ACAC exactly when it has equal dot products with the two unit vectors along them. Writing DD on the segment BCBC turns this into one linear equation in the position of DD. Its solution divides BCBC in the ratio d(A,B):d(A,C)d(A, B) : d(A, C).

Reading path

To understand this page from the ground up, read these 69 pages in order. The foundations come first. The path takes the proofs Proof that a complex number times its conjugate is the square of its modulus, Proof of the Cauchy–Schwarz inequality, Proof of the equality of complex numbers, Proof that the reals form an ordered field, with the Cauchy sequence construction, Proof that the absolute value is multiplicative, Proof of the existence of square roots of nonnegative reals.

  1. Angle at a point concept
  2. Arccosine concept
  3. Collinear points concept
  4. Complex numbers object
  5. Complex numbers as pairs of reals concept
  6. Construction of the reals from Cauchy sequences concept
  7. Dot product concept
  8. Element definition
  9. Euclidean distance concept
  10. Imaginary unit object
  11. Inner product concept
  12. Inner product space concept
  13. Integers object
  14. Length of a vector concept
  15. Line segment concept
  16. Linear independence concept
  17. Norm induced by an inner product concept
  18. Ordered field definition
  19. Proposition concept
  20. Rational numbers object
  21. Real numbers object
  22. Set bounded above definition
  23. Triangle concept
  24. Vector space definition
  25. Real and imaginary parts definition
  26. Set definition
  27. Ring of integers statement
  28. Implication definition
  29. Predicate definition
  30. The reals form a field statement
  31. Supremum definition
  32. Inner product definition
  33. Linear combination definition
  34. Norm definition
  35. Ordered pair definition
  36. Complex conjugate definition
  37. Universal quantifier definition
  38. Inner product space definition
  39. Linear independence definition
  40. The rationals form a field statement
  41. Completeness axiom statement
  42. Cartesian product definition
  43. Proof of the equality of complex numbers proof
  44. Subset definition
  45. Norm induced by an inner product definition
  46. The rationals form an ordered field statement
  47. Equality of complex numbers statement
  48. Binary relation definition
  49. Order on the reals definition
  50. Antisymmetric relation definition
  51. Reflexive relation definition
  52. Transitive relation definition
  53. Preorder definition
  54. Partial order definition
  55. Total order definition
  56. Proof that the reals form an ordered field, with the Cauchy sequence construction proof
  57. The reals form an ordered field statement
  58. Absolute value definition
  59. Proof of the existence of square roots of nonnegative reals proof
  60. Proof that the absolute value is multiplicative proof
  61. Existence of square roots of nonnegative reals statement
  62. Absolute value is multiplicative statement
  63. Square root definition
  64. Modulus of a complex number definition
  65. Proof that a complex number times its conjugate is the square of its modulus proof
  66. A complex number times its conjugate statement
  67. Proof of the Cauchy–Schwarz inequality proof
  68. Cauchy–Schwarz inequality statement
  69. Proof of the angle bisector theorem and its converse with unit vectors proof

Where this leads

1 page builds on this one.

Further reading

  1. Web https://raw.org/book/linear-algebra/bisector-of-two-vectors/, Algebraic Proof
  2. Web https://en.wikipedia.org/wiki/Angle_bisector_theorem, Theorem
About this page
TagG26V4F9BY5
URIm2://G26V4F9BY5
Kindproof
WritingW0 stub
MSC51M04
ProvesAngle bisector theorem
UsesTriangle, Angle at a point, Euclidean distance, Collinear points, Line segment, Length of a vector, Dot product, Linear independence, Cauchy–Schwarz inequality, Arccosine
Changed4 November 2026

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