From 0ae7a75c3836df538ab004f234bf5ed2519df62d Mon Sep 17 00:00:00 2001
From: Kilian Lieret <kilian.lieret@posteo.de>
Date: Sun, 24 Apr 2022 15:13:57 +0000
Subject: DOC: Simplify explanation/markup of correlate transformation

---
 numpy/core/numeric.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'numpy/core/numeric.py')

diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py
index d76a8b46d..bb3cbf054 100644
--- a/numpy/core/numeric.py
+++ b/numpy/core/numeric.py
@@ -737,8 +737,8 @@ def correlate(a, v, mode='valid'):
     array([ 0.5-0.5j,  1.0+0.j ,  1.5-1.5j,  3.0-1.j ,  0.0+0.j ])
 
     Note that you get the time reversed, complex conjugated result
-    when the two input sequences change places, i.e.,
-    ``c_{va}[k] = c^{*}_{av}[-k]``:
+    (:math:`\overline{c_{-k}}`) when the two input sequences a and v change 
+    places:
 
     >>> np.correlate([0, 1, 0.5j], [1+1j, 2, 3-1j], 'full')
     array([ 0.0+0.j ,  3.0+1.j ,  1.5+1.5j,  1.0+0.j ,  0.5+0.5j])
-- 
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