Documentation

Mathlib.LinearAlgebra.Matrix.DotProduct

Dot product of two vectors #

This file contains some results on the map dotProduct, which maps two vectors v w : n → R to the sum of the entrywise products v i * w i.

Main results #

Tags #

matrix

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theorem dotProduct_eq {n : Type u_2} {R : Type u_4} [Semiring R] [Fintype n] (v w : n → R) (h : ∀ (u : n → R), v ⬝ᵥ u = w ⬝ᵥ u) :
v = w
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theorem dotProduct_eq_iff {n : Type u_2} {R : Type u_4} [Semiring R] [Fintype n] {v w : n → R} :
(∀ (u : n → R), v ⬝ᵥ u = w ⬝ᵥ u) ↔ v = w
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theorem dotProduct_eq_zero {n : Type u_2} {R : Type u_4} [Semiring R] [Fintype n] (v : n → R) (h : ∀ (w : n → R), v ⬝ᵥ w = 0) :
v = 0
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theorem dotProduct_eq_zero_iff {n : Type u_2} {R : Type u_4} [Semiring R] [Fintype n] {v : n → R} :
(∀ (w : n → R), v ⬝ᵥ w = 0) ↔ v = 0
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theorem dotProduct_nonneg_of_nonneg {n : Type u_2} {R : Type u_4} [Semiring R] [PartialOrder R] [IsOrderedRing R] [Fintype n] {v w : n → R} (hv : 0 ≤ v) (hw : 0 ≤ w) :
0 ≤ v ⬝ᵥ w
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theorem dotProduct_le_dotProduct_of_nonneg_right {n : Type u_2} {R : Type u_4} [Semiring R] [PartialOrder R] [IsOrderedRing R] [Fintype n] {u v w : n → R} (huv : u ≤ v) (hw : 0 ≤ w) :
u ⬝ᵥ w ≤ v ⬝ᵥ w
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theorem dotProduct_le_dotProduct_of_nonneg_left {n : Type u_2} {R : Type u_4} [Semiring R] [PartialOrder R] [IsOrderedRing R] [Fintype n] {u v w : n → R} (huv : u ≤ v) (hw : 0 ≤ w) :
w ⬝ᵥ u ≤ w ⬝ᵥ v
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@[simp]
theorem dotProduct_self_eq_zero {n : Type u_2} {R : Type u_4} [Fintype n] [Ring R] [LinearOrder R] [IsStrictOrderedRing R] {v : n → R} :
v ⬝ᵥ v = 0 ↔ v = 0
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@[simp]
theorem dotProduct_star_self_nonneg {n : Type u_2} {R : Type u_4} [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] (v : n → R) :
0 ≤ star v ⬝ᵥ v

Note that this applies to ℂ via RCLike.toStarOrderedRing.

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@[simp]
theorem dotProduct_self_star_nonneg {n : Type u_2} {R : Type u_4} [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] (v : n → R) :
0 ≤ v ⬝ᵥ star v

Note that this applies to ℂ via RCLike.toStarOrderedRing.

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@[simp]
theorem dotProduct_star_self_eq_zero {n : Type u_2} {R : Type u_4} [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] [NoZeroDivisors R] {v : n → R} :
star v ⬝ᵥ v = 0 ↔ v = 0

Note that this applies to ℂ via RCLike.toStarOrderedRing.

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@[simp]
theorem dotProduct_self_star_eq_zero {n : Type u_2} {R : Type u_4} [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] [NoZeroDivisors R] {v : n → R} :
v ⬝ᵥ star v = 0 ↔ v = 0

Note that this applies to ℂ via RCLike.toStarOrderedRing.

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@[simp]
theorem Matrix.conjTranspose_mul_self_eq_zero {m : Type u_1} {R : Type u_4} [Fintype m] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] [NoZeroDivisors R] {n : Type u_5} {A : Matrix m n R} :
A.conjTranspose * A = 0 ↔ A = 0
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@[simp]
theorem Matrix.self_mul_conjTranspose_eq_zero {n : Type u_2} {R : Type u_4} [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] [NoZeroDivisors R] {m : Type u_5} {A : Matrix m n R} :
A * A.conjTranspose = 0 ↔ A = 0
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theorem Matrix.conjTranspose_mul_self_mul_eq_zero {m : Type u_1} {n : Type u_2} {R : Type u_4} [Fintype m] [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] [NoZeroDivisors R] {p : Type u_5} (A : Matrix m n R) (B : Matrix n p R) :
A.conjTranspose * A * B = 0 ↔ A * B = 0
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theorem Matrix.self_mul_conjTranspose_mul_eq_zero {m : Type u_1} {n : Type u_2} {R : Type u_4} [Fintype m] [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] [NoZeroDivisors R] {p : Type u_5} (A : Matrix m n R) (B : Matrix m p R) :
A * A.conjTranspose * B = 0 ↔ A.conjTranspose * B = 0
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theorem Matrix.mul_self_mul_conjTranspose_eq_zero {m : Type u_1} {n : Type u_2} {R : Type u_4} [Fintype m] [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] [NoZeroDivisors R] {p : Type u_5} (A : Matrix m n R) (B : Matrix p m R) :
B * (A * A.conjTranspose) = 0 ↔ B * A = 0
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theorem Matrix.mul_conjTranspose_mul_self_eq_zero {m : Type u_1} {n : Type u_2} {R : Type u_4} [Fintype m] [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] [NoZeroDivisors R] {p : Type u_5} (A : Matrix m n R) (B : Matrix p n R) :
B * (A.conjTranspose * A) = 0 ↔ B * A.conjTranspose = 0
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theorem Matrix.conjTranspose_mul_self_mulVec_eq_zero {m : Type u_1} {n : Type u_2} {R : Type u_4} [Fintype m] [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] [NoZeroDivisors R] (A : Matrix m n R) (v : n → R) :
(A.conjTranspose * A).mulVec v = 0 ↔ A.mulVec v = 0
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theorem Matrix.self_mul_conjTranspose_mulVec_eq_zero {m : Type u_1} {n : Type u_2} {R : Type u_4} [Fintype m] [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] [NoZeroDivisors R] (A : Matrix m n R) (v : m → R) :
(A * A.conjTranspose).mulVec v = 0 ↔ A.conjTranspose.mulVec v = 0
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theorem Matrix.vecMul_conjTranspose_mul_self_eq_zero {m : Type u_1} {n : Type u_2} {R : Type u_4} [Fintype m] [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] [NoZeroDivisors R] (A : Matrix m n R) (v : n → R) :
vecMul v (A.conjTranspose * A) = 0 ↔ vecMul v A.conjTranspose = 0
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theorem Matrix.vecMul_self_mul_conjTranspose_eq_zero {m : Type u_1} {n : Type u_2} {R : Type u_4} [Fintype m] [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] [NoZeroDivisors R] (A : Matrix m n R) (v : m → R) :
vecMul v (A * A.conjTranspose) = 0 ↔ vecMul v A = 0
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@[simp]
theorem Matrix.dotProduct_star_self_pos_iff {n : Type u_2} {R : Type u_4} [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] [NoZeroDivisors R] {v : n → R} :
0 < star v ⬝ᵥ v ↔ v ≠ 0

Note that this applies to ℂ via RCLike.toStarOrderedRing.

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@[simp]
theorem Matrix.dotProduct_self_star_pos_iff {n : Type u_2} {R : Type u_4} [Fintype n] [PartialOrder R] [NonUnitalRing R] [StarRing R] [StarOrderedRing R] [NoZeroDivisors R] {v : n → R} :
0 < v ⬝ᵥ star v ↔ v ≠ 0

Note that this applies to ℂ via RCLike.toStarOrderedRing.