From 4649f07c0fe65c50d377943cbce3731218bdc1a1 Mon Sep 17 00:00:00 2001
From: timkittel <19408882+timkittel@users.noreply.github.com>
Date: Wed, 29 Aug 2018 23:26:31 +0200
Subject: [PATCH] removed outdated paragraph on automatic broadcasting for
 binary operators (#28950)

(cherry picked from commit bd1e46a6774120b4e42f477b3276102ba542da52)
---
 doc/src/manual/arrays.md | 7 +------
 1 file changed, 1 insertion(+), 6 deletions(-)

diff --git a/doc/src/manual/arrays.md b/doc/src/manual/arrays.md
index de54a61617717..4b4c4be24a7ac 100644
--- a/doc/src/manual/arrays.md
+++ b/doc/src/manual/arrays.md
@@ -692,12 +692,7 @@ The following operators are supported for arrays:
 2. Binary arithmetic -- `-`, `+`, `*`, `/`, `\`, `^`
 3. Comparison -- `==`, `!=`, `≈` ([`isapprox`](@ref)), `≉`
 
-Most of the binary arithmetic operators listed above also operate elementwise
-when one argument is scalar: `-`, `+`, and `*` when either argument is scalar,
-and `/` and `\` when the denominator is scalar. For example, `[1, 2] + 3 == [4, 5]`
-and `[6, 4] / 2 == [3, 2]`.
-
-Additionally, to enable convenient vectorization of mathematical and other operations,
+To enable convenient vectorization of mathematical and other operations,
 Julia [provides the dot syntax](@ref man-vectorized) `f.(args...)`, e.g. `sin.(x)`
 or `min.(x,y)`, for elementwise operations over arrays or mixtures of arrays and
 scalars (a [Broadcasting](@ref) operation); these have the additional advantage of