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Proofs of "∑i<n. i = n(n-1)/2"

Gauss's formula for the sum of the first natural numbers is \[ 0 + 1 + 2 + ... + (n-1) = \dfrac{n(n-1)}{2} \] that is, \[ \sum_{i < n} i = \dfrac{n(n-1)}{2} \]

In a previous exercise, this formula was proven by induction. Another way to prove it, without using induction, is the following: The sum can be written in two ways \begin{align} S &= &0 &+ &1 &+ &2 &+ ... &+ &(n-3) &+ &(n-2) &+ &(n-1) \newline S &= &(n-1) &+ &(n-2) &+ &(n-3) &+ ... &+ &2 &+ &1 &+ &0 \end{align} By adding, we observe that each pair of numbers in the same column sums to (n-1), and since there are n columns in total, it follows that \[ 2S = n(n-1) \] which proves the formula.

Prove Gauss's formula by following the above procedure.

To do this, complete the following Lean4 theory:

import Mathlib.Algebra.BigOperators.Intervals
import Mathlib.Tactic

open Finset Nat

variable (n i : ℕ)

example :
  ∑ i ∈ range n, i = n * (n - 1) / 2 :=
by sorry

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Proofs of "If p > -1, then (1+p)ⁿ ≥ 1+np"

Let \(p ∈ ℝ\) and \(n ∈ ℕ\). Prove that if \(p > -1\), then \[ (1 + p)^n ≥ 1 + np \]

To do this, complete the following Lean4 theory:

import Mathlib.Data.Real.Basic
import Mathlib.Tactic

open Nat

variable (p : ℝ)
variable (n : ℕ)

example
  (h : p > -1)
  : (1 + p)^n ≥ 1 + n*p :=
by sorry

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Proofs of 0³+1³+2³+3³+···+n³ = (n(n+1)/2)²

Prove that the sum of the first cubes \[ 0^3 + 1^3 + 2^3 + 3^3 + ··· + n^3 \] is \[ \dfrac{n(n+1)}{2}^2 \]

To do this, complete the following Lean4 theory:

import Mathlib.Data.Nat.Defs
import Mathlib.Tactic

open Nat

variable (n : ℕ)

def sumCubes : ℕ → ℕ
  | 0   => 0
  | n+1 => sumCubes n + (n+1)^3

example :
  4 * sumCubes n = (n*(n+1))^2 :=
by sorry

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Proofs of a+aq+aq²+···+aqⁿ = a(1-qⁿ⁺¹)/(1-q)

Prove that if \(q ≠ 1\), then the sum of the terms of the geometric progression \[ a + aq + aq^2 + ··· + aq^n \] is \[ \dfrac{a(1 - q^{n+1})}{1 - q} \]

To do this, complete the following Lean4 theory:

import Mathlib.Data.Nat.Defs
import Mathlib.Tactic

open Nat

variable (n : ℕ)
variable (a q : ℝ)

def sumGP : ℝ → ℝ → ℕ → ℝ
  | a, _, 0     => a
  | a, q, n + 1 => sumGP a q n + (a * q^(n + 1))

example
  (h : q ≠ 1)
  : sumGP a q n = a * (1 - q^(n + 1)) / (1 - q) :=
by sorry

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Proofs of a+(a+d)+(a+2d)+···+(a+nd)=(n+1)(2a+nd)/2

Prove that the sum of the terms of the arithmetic progression \[ a + (a + d) + (a + 2d) + ··· + (a + nd) \] is \[ \dfrac{(n + 1)(2a + nd)}{2} \]

To do this, complete the following Lean4 theory:

import Mathlib.Data.Nat.Defs
import Mathlib.Tactic

open Nat

variable (n : ℕ)
variable (a d : ℝ)

def sumAP : ℝ → ℝ → ℕ → ℝ
  | a, _, 0     => a
  | a, d, n + 1 => sumAP a d n + (a + (n + 1) * d)

example :
  2 * sumAP a d n = (n + 1) * (2 * a + n * d) :=
by sorry

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Proofs of "0+1+2+3+···+n=n(n + 1)/2"

Prove that the sum of the natural numbers \[ 0 + 1 + 2 + 3 + ··· + n \] is \[\dfrac{n(n + 1)}{2}\]

To do this, complete the following Lean4 theory:

import Init.Data.Nat.Basic
import Mathlib.Tactic

open Nat

variable (n : Nat)

set_option pp.fieldNotation false

def sum : Nat → Nat
  | 0      => 0
  | succ n => sum n + (n+1)

example :
  2 * sum n = n * (n + 1) :=
by sorry

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If f is continuous at a and the limit of u(n) is a, then the limit of f(u(n)) is f(a)

In Lean4, we can define that \(a\) is the limit of the sequence \(u\) by:

   def is_limit (u : ℕ → ℝ) (a : ℝ) :=
     ∀ ε > 0, ∃ k, ∀ n ≥ k, |u n - a| < ε

and that \(f\) is continuous at \(a\) by:

   def continuous_at (f : ℝ → ℝ) (a : ℝ) :=
     ∀ ε > 0, ∃ δ > 0, ∀ x, |x - a| ≤ δ → |f x - f a| ≤ ε

To prove that if the function \(f\) is continuous at the point \(a\), and the sequence \(u(n)\) converges to \(a\), then the sequence \(f(u(n))\) converges to \(f(a)\).

To do this, complete the following Lean4 theory:

import Mathlib.Data.Real.Basic

variable {f : ℝ → ℝ}
variable {a : ℝ}
variable {u : ℕ → ℝ}

def is_limit (u : ℕ → ℝ) (a : ℝ) :=
  ∀ ε > 0, ∃ k, ∀ n ≥ k, |u n - a| ≤ ε

def continuous_at (f : ℝ → ℝ) (a : ℝ) :=
  ∀ ε > 0, ∃ δ > 0, ∀ x, |x - a| ≤ δ → |f x - f a| ≤ ε

example
  (hf : continuous_at f a)
  (hu : is_limit u a)
  : is_limit (f ∘ u) (f a) :=
by sorry

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If x is the limit of u and y is an upper bound of u, then x ≤ y

In Lean4, we can define that \(a\) is the limit of the sequence \(u\) by:

   def is_limit (u : ℕ → ℝ) (a : ℝ) :=
     ∀ ε > 0, ∃ k, ∀ n ≥ k, |u n - a| < ε

and that \(a\) is an upper bound of \(u\) by:

   def is_upper_bound (u : ℕ → ℝ) (a : ℝ) :=
     ∀ n, u n ≤ a

Prove that if \(x\) is the limit of the sequence \(u\) and \(y\) is an upper bound of \(u\), then \(x ≤ y\).

To do this, complete the following Lean4 theory:

import Mathlib.Data.Real.Basic
import Mathlib.Tactic

variable  (u : ℕ → ℝ)
variable (x y : ℝ)

def is_limit (u : ℕ → ℝ) (a : ℝ) :=
  ∀ ε > 0, ∃ k, ∀ n ≥ k, |u n - a| < ε

def is_upper_bound (u : ℕ → ℝ) (a : ℝ) :=
  ∀ n, u n ≤ a

example
  (hx : is_limit u x)
  (hy : is_upper_bound u y)
  : x ≤ y :=
by sorry

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If (∀ ε > 0, y ≤ x + ε), then y ≤ x

Let \(x, y ∈ ℝ\). Prove that \[ (∀ ε > 0, y ≤ x + ε) → y ≤ x \]

To do this, complete the following Lean4 theory:

import Mathlib.Data.Real.Basic
import Mathlib.Tactic

variable {x y : ℝ}

example :
  (∀ ε > 0, y ≤ x + ε) → y ≤ x :=
by sorry

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If x is the supremum of set A, then ((∀ y)[y < x → (∃ a ∈ A)[y < a]]

In Lean4, one can define that \(x\) is an upper bound of \(A\) by

   def is_upper_bound (A : Set ℝ) (x : ℝ) :=
     ∀ a ∈ A, a ≤ x

and \(x\) is supremum of \(A\) by

   def is_supremum (A : Set ℝ) (x : ℝ) :=
     is_upper_bound A x ∧ ∀ y, is_upper_bound A y → x ≤ y

Prove that if \(x\) is the supremum of \(A\), then \[ (∀ y)[y < x → (∃ a ∈ A)[y < a]] \]

To do this, complete the following Lean4 theory:

import Mathlib.Data.Real.Basic
variable {A : Set ℝ}
variable {x : ℝ}

def is_upper_bound (A : Set ℝ) (x : ℝ) :=
  ∀ a ∈ A, a ≤ x

def is_supremum (A : Set ℝ) (x : ℝ) :=
  is_upper_bound A x ∧ ∀ y, is_upper_bound A y → x ≤ y

example
  (hx : is_supremum A x)
  : ∀ y, y < x → ∃ a ∈ A, y < a :=
by sorry

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