Documentation

Mathlib.Data.Real.Sqrt

Square root of a real number #

In this file we define

NNReal.sqrt to be the square root of a nonnegative real number.
Real.sqrt to be the square root of a real number, defined to be zero on negative numbers.

Then we prove some basic properties of these functions.

Implementation notes #

We define NNReal.sqrt as the noncomputable inverse to the function x ↦ x * x. We use general theory of inverses of strictly monotone functions to prove that NNReal.sqrt x exists. As a side effect, NNReal.sqrt is a bundled OrderIso, so for NNReal numbers we get continuity as well as theorems like NNReal.sqrt x ≤ y ↔ x ≤ y * y for free.

Then we define Real.sqrt x to be NNReal.sqrt (Real.toNNReal x).

Tags #

square root

noncomputable def NNReal.sqrt :

NNReal ≃o NNReal

Square root of a nonnegative real number.

Equations

Instances For

@[simp]

theorem NNReal.sq_sqrt (x : NNReal) :

sqrt x ^ 2 = x

@[simp]

theorem NNReal.sqrt_sq (x : NNReal) :

sqrt (x ^ 2) = x

@[simp]

theorem NNReal.mul_self_sqrt (x : NNReal) :

sqrt x * sqrt x = x

@[simp]

theorem NNReal.sqrt_mul_self (x : NNReal) :

sqrt (x * x) = x

theorem NNReal.sqrt_le_sqrt {x y : NNReal} :

sqrt x ≤ sqrt y ↔ x ≤ y

theorem NNReal.sqrt_lt_sqrt {x y : NNReal} :

sqrt x < sqrt y ↔ x < y

theorem NNReal.sqrt_eq_iff_eq_sq {x y : NNReal} :

sqrt x = y ↔ x = y ^ 2

theorem NNReal.sqrt_le_iff_le_sq {x y : NNReal} :

sqrt x ≤ y ↔ x ≤ y ^ 2

theorem NNReal.le_sqrt_iff_sq_le {x y : NNReal} :

x ≤ sqrt y ↔ x ^ 2 ≤ y

@[simp]

theorem NNReal.sqrt_eq_zero {x : NNReal} :

sqrt x = 0 ↔ x = 0

@[simp]

theorem NNReal.sqrt_eq_one {x : NNReal} :

sqrt x = 1 ↔ x = 1

@[simp]

theorem NNReal.sqrt_zero :

sqrt 0 = 0

@[simp]

theorem NNReal.sqrt_one :

sqrt 1 = 1

@[simp]

theorem NNReal.sqrt_le_one {x : NNReal} :

sqrt x ≤ 1 ↔ x ≤ 1

@[simp]

theorem NNReal.one_le_sqrt {x : NNReal} :

1 ≤ sqrt x ↔ 1 ≤ x

theorem NNReal.sqrt_mul (x y : NNReal) :

sqrt (x * y) = sqrt x * sqrt y

noncomputable def NNReal.sqrtHom :

NNReal →*₀ NNReal

NNReal.sqrt as a MonoidWithZeroHom.

Equations

Instances For

theorem NNReal.sqrt_inv (x : NNReal) :

sqrt x⁻¹ = (sqrt x)⁻¹

theorem NNReal.sqrt_div (x y : NNReal) :

sqrt (x / y) = sqrt x / sqrt y

theorem NNReal.continuous_sqrt :

Continuous ⇑sqrt

@[simp]

theorem NNReal.sqrt_pos {x : NNReal} :

0 < sqrt x ↔ 0 < x

theorem NNReal.sqrt_pos_of_pos {x : NNReal} :

0 < x → 0 < sqrt x

Alias of the reverse direction of NNReal.sqrt_pos.

noncomputable def Real.sqrt (x : ℝ) :

The square root of a real number. This returns 0 for negative inputs.

This has notation √x. Note that √x⁻¹ is parsed as √(x⁻¹).

Equations

Instances For

def Real.«term√_» :

Lean.ParserDescr

The square root of a real number. This returns 0 for negative inputs.

This has notation √x. Note that √x⁻¹ is parsed as √(x⁻¹).

Equations

Instances For

@[simp]

theorem Real.coe_sqrt {x : NNReal} :

↑(NNReal.sqrt x) = √↑x

theorem Real.continuous_sqrt :

Continuous fun (x : ℝ) => √x

theorem Real.sqrt_eq_zero_of_nonpos {x : ℝ} (h : x ≤ 0) :

√x = 0

@[simp]

theorem Real.sqrt_nonneg (x : ℝ) :

@[simp]

theorem Real.mul_self_sqrt {x : ℝ} (h : 0 ≤ x) :

√x * √x = x

@[simp]

theorem Real.sqrt_mul_self {x : ℝ} (h : 0 ≤ x) :

√(x * x) = x

theorem Real.sqrt_eq_cases {x y : ℝ} :

√x = y ↔ y * y = x ∧ 0 ≤ y ∨ x < 0 ∧ y = 0

theorem Real.sqrt_eq_iff_mul_self_eq {x y : ℝ} (hx : 0 ≤ x) (hy : 0 ≤ y) :

√x = y ↔ x = y * y

theorem Real.sqrt_eq_iff_mul_self_eq_of_pos {x y : ℝ} (h : 0 < y) :

√x = y ↔ y * y = x

@[simp]

theorem Real.sqrt_eq_one {x : ℝ} :

√x = 1 ↔ x = 1

@[simp]

theorem Real.sq_sqrt {x : ℝ} (h : 0 ≤ x) :

√x ^ 2 = x

@[simp]

theorem Real.sqrt_sq {x : ℝ} (h : 0 ≤ x) :

√(x ^ 2) = x

theorem Real.sqrt_eq_iff_eq_sq {x y : ℝ} (hx : 0 ≤ x) (hy : 0 ≤ y) :

√x = y ↔ x = y ^ 2

theorem Real.sqrt_mul_self_eq_abs (x : ℝ) :

√(x * x) = |x|

theorem Real.sqrt_sq_eq_abs (x : ℝ) :

√(x ^ 2) = |x|

@[simp]

theorem Real.sqrt_zero :

√0 = 0

@[simp]

theorem Real.sqrt_one :

√1 = 1

@[simp]

theorem Real.sqrt_le_sqrt_iff {x y : ℝ} (hy : 0 ≤ y) :

√x ≤ √y ↔ x ≤ y

@[simp]

theorem Real.sqrt_lt_sqrt_iff {x y : ℝ} (hx : 0 ≤ x) :

√x < √y ↔ x < y

theorem Real.sqrt_lt_sqrt_iff_of_pos {x y : ℝ} (hy : 0 < y) :

√x < √y ↔ x < y

theorem Real.sqrt_le_sqrt {x y : ℝ} (h : x ≤ y) :

theorem Real.sqrt_lt_sqrt {x y : ℝ} (hx : 0 ≤ x) (h : x < y) :

theorem Real.sqrt_le_left {x y : ℝ} (hy : 0 ≤ y) :

√x ≤ y ↔ x ≤ y ^ 2

theorem Real.sqrt_le_iff {x y : ℝ} :

√x ≤ y ↔ 0 ≤ y ∧ x ≤ y ^ 2

theorem Real.sqrt_lt {x y : ℝ} (hx : 0 ≤ x) (hy : 0 ≤ y) :

√x < y ↔ x < y ^ 2

theorem Real.sqrt_lt' {x y : ℝ} (hy : 0 < y) :

√x < y ↔ x < y ^ 2

theorem Real.le_sqrt {x y : ℝ} (hx : 0 ≤ x) (hy : 0 ≤ y) :

x ≤ √y ↔ x ^ 2 ≤ y

Note: if you want to conclude x ≤ √y, then use Real.le_sqrt_of_sq_le. If you have x > 0, consider using Real.le_sqrt'

theorem Real.le_sqrt' {x y : ℝ} (hx : 0 < x) :

x ≤ √y ↔ x ^ 2 ≤ y

theorem Real.abs_le_sqrt {x y : ℝ} (h : x ^ 2 ≤ y) :

theorem Real.sq_le {x y : ℝ} (h : 0 ≤ y) :

x ^ 2 ≤ y ↔ -√y ≤ x ∧ x ≤ √y

theorem Real.neg_sqrt_le_of_sq_le {x y : ℝ} (h : x ^ 2 ≤ y) :

theorem Real.le_sqrt_of_sq_le {x y : ℝ} (h : x ^ 2 ≤ y) :

@[simp]

theorem Real.sqrt_inj {x y : ℝ} (hx : 0 ≤ x) (hy : 0 ≤ y) :

√x = √y ↔ x = y

@[simp]

theorem Real.sqrt_eq_zero {x : ℝ} (h : 0 ≤ x) :

√x = 0 ↔ x = 0

theorem Real.sqrt_eq_zero' {x : ℝ} :

√x = 0 ↔ x ≤ 0

theorem Real.sqrt_ne_zero {x : ℝ} (h : 0 ≤ x) :

√x ≠ 0 ↔ x ≠ 0

theorem Real.sqrt_ne_zero' {x : ℝ} :

√x ≠ 0 ↔ 0 < x

@[simp]

theorem Real.sqrt_pos {x : ℝ} :

0 < √x ↔ 0 < x

theorem Real.sqrt_pos_of_pos {x : ℝ} :

0 < x → 0 < √x

Alias of the reverse direction of Real.sqrt_pos.

theorem Real.sqrt_le_sqrt_iff' {x y : ℝ} (hx : 0 < x) :

√x ≤ √y ↔ x ≤ y

@[simp]

theorem Real.one_le_sqrt {x : ℝ} :

1 ≤ √x ↔ 1 ≤ x

@[simp]

theorem Real.sqrt_le_one {x : ℝ} :

√x ≤ 1 ↔ x ≤ 1

def Mathlib.Meta.Positivity.evalNNRealSqrt :

Extension for the positivity tactic: a square root of a strictly positive nonnegative real is positive.

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def Mathlib.Meta.Positivity.evalSqrt :

Extension for the positivity tactic: a square root is nonnegative, and is strictly positive if its input is.

Equations

Instances For

@[simp]

theorem Real.sqrt_mul {x : ℝ} (hx : 0 ≤ x) (y : ℝ) :

√(x * y) = √x * √y

@[simp]

theorem Real.sqrt_mul' (x : ℝ) {y : ℝ} (hy : 0 ≤ y) :

√(x * y) = √x * √y

@[simp]

theorem Real.sqrt_inv (x : ℝ) :

√x⁻¹ = (√x)⁻¹

@[simp]

theorem Real.sqrt_div {x : ℝ} (hx : 0 ≤ x) (y : ℝ) :

√(x / y) = √x / √y

@[simp]

theorem Real.sqrt_div' (x : ℝ) {y : ℝ} (hy : 0 ≤ y) :

√(x / y) = √x / √y

@[simp]

theorem Real.div_sqrt {x : ℝ} :

x / √x = √x

theorem Real.sqrt_div_self' {x : ℝ} :

√x / x = 1 / √x

theorem Real.sqrt_div_self {x : ℝ} :

√x / x = (√x)⁻¹

theorem Real.lt_sqrt {x y : ℝ} (hx : 0 ≤ x) :

x < √y ↔ x ^ 2 < y

theorem Real.sq_lt {x y : ℝ} :

x ^ 2 < y ↔ -√y < x ∧ x < √y

theorem Real.neg_sqrt_lt_of_sq_lt {x y : ℝ} (h : x ^ 2 < y) :

theorem Real.lt_sqrt_of_sq_lt {x y : ℝ} (h : x ^ 2 < y) :

x < √y

theorem Real.lt_sq_of_sqrt_lt {x y : ℝ} (h : √x < y) :

x < y ^ 2

theorem Real.nat_sqrt_le_real_sqrt {a : ℕ} :

↑a.sqrt ≤ √↑a

The natural square root is at most the real square root

theorem Real.real_sqrt_lt_nat_sqrt_succ {a : ℕ} :

√↑a < ↑a.sqrt + 1

The real square root is less than the natural square root plus one

theorem Real.real_sqrt_le_nat_sqrt_succ {a : ℕ} :

√↑a ≤ ↑a.sqrt + 1

The real square root is at most the natural square root plus one

@[simp]

theorem Real.floor_real_sqrt_eq_nat_sqrt {a : ℕ} :

⌊√↑a⌋ = ↑a.sqrt

The floor of the real square root is the same as the natural square root.

@[simp]

theorem Real.nat_floor_real_sqrt_eq_nat_sqrt {a : ℕ} :

⌊√↑a⌋₊ = a.sqrt

The natural floor of the real square root is the same as the natural square root.

theorem Real.sqrt_one_add_le {x : ℝ} (h : -1 ≤ x) :

√(1 + x) ≤ 1 + x / 2

Bernoulli's inequality for exponent 1 / 2, stated using sqrt.

theorem Filter.Tendsto.sqrt {α : Type u_1} {f : α → ℝ} {l : Filter α} {x : ℝ} (h : Tendsto f l (nhds x)) :

Tendsto (fun (x : α) => √(f x)) l (nhds √x)

theorem ContinuousWithinAt.sqrt {α : Type u_1} [TopologicalSpace α] {f : α → ℝ} {s : Set α} {x : α} (h : ContinuousWithinAt f s x) :

ContinuousWithinAt (fun (x : α) => √(f x)) s x

theorem ContinuousAt.sqrt {α : Type u_1} [TopologicalSpace α] {f : α → ℝ} {x : α} (h : ContinuousAt f x) :

ContinuousAt (fun (x : α) => √(f x)) x

theorem ContinuousOn.sqrt {α : Type u_1} [TopologicalSpace α] {f : α → ℝ} {s : Set α} (h : ContinuousOn f s) :

ContinuousOn (fun (x : α) => √(f x)) s

theorem Continuous.sqrt {α : Type u_1} [TopologicalSpace α] {f : α → ℝ} (h : Continuous f) :

Continuous fun (x : α) => √(f x)

theorem NNReal.sum_mul_le_sqrt_mul_sqrt {ι : Type u_2} (s : Finset ι) (f g : ι → NNReal) :

∑ i ∈ s, f i * g i ≤ sqrt (∑ i ∈ s, f i ^ 2) * sqrt (∑ i ∈ s, g i ^ 2)

Cauchy-Schwarz inequality for finsets using square roots in ℝ≥0.

theorem NNReal.sum_sqrt_mul_sqrt_le {ι : Type u_2} (s : Finset ι) (f g : ι → NNReal) :

∑ i ∈ s, sqrt (f i) * sqrt (g i) ≤ sqrt (∑ i ∈ s, f i) * sqrt (∑ i ∈ s, g i)

Cauchy-Schwarz inequality for finsets using square roots in ℝ≥0.

theorem Real.sum_mul_le_sqrt_mul_sqrt {ι : Type u_2} (s : Finset ι) (f g : ι → ℝ) :

∑ i ∈ s, f i * g i ≤ √(∑ i ∈ s, f i ^ 2) * √(∑ i ∈ s, g i ^ 2)

Cauchy-Schwarz inequality for finsets using square roots in ℝ.

theorem Real.sum_sqrt_mul_sqrt_le {ι : Type u_2} {f g : ι → ℝ} (s : Finset ι) (hf : ∀ (i : ι), 0 ≤ f i) (hg : ∀ (i : ι), 0 ≤ g i) :

∑ i ∈ s, √(f i) * √(g i) ≤ √(∑ i ∈ s, f i) * √(∑ i ∈ s, g i)

Cauchy-Schwarz inequality for finsets using square roots in ℝ.