Vtyjkyuk

What do slanted inequality signs mean? Specifically, these are $geqslant$, $leqslant$; and the variation: $eqslantgtr$, $eqslantless$.

Is there any place I can look this up? I've searched Wikipedia and the web and can't find anything about them. The last two were found when looking up the first two.

$geqslant$ is an alternative to $geq$ and means the same: $a geqslant b$ = "$a$ is greater than or equal to $b$".

Likewise, $leqslant$ is an alternative notation for $leq$, with $a leqslant b$ = "$a$ is less than or equal to $b$".

I haven't encountered $eqslantgtr$ or $eqslantless$, but given that the former is formatted eqslantgtr and the latter eqslantless, I would venture to guess that they likewise denote "greater than or equal to" and "less than or equal to", respectively. Perhaps with these symbols, where the emphasis appears to be on the "equals" component, they are read as "equal to or greater than" and "equal to or less than", respectively.

In Russia $geqslant$ and $leqslant$ are used instead of $geq$ and $leq$.

We don't use $geq$ and $leq$ at all.

But I've never seen $eqslantgtr$ and $eqslantless$ in Russian math texts.

P.S.

1. There are more interesting distinctions between Russian and English math notations.

For example, we occasionally using $ nvdots d $ instead of $ d|n$.

2. There are a lot of strange math symbols exists: see here and here.

I haven't seen $eqslantless$ or $eqslantgtr$ used. A Google search for "eqslantless" turned up
http://www.mathnet.ru/php/archive.phtml?wshow=paper&jrnid=tmf&paperid=3775&option_lang=eng
but the actual paper (both the Russian original and the English translation) used $leqslant$.

In France too, we use $geqslant$ and $leqslant$, at least in high school teaching.

The $geq$ and $leq$ signs are understandable though, and used by pocket calculators.

Since people agreed with $leq$ vs $leqslant$ is a style issue. I checked a list of books from various disciplines,

the "$leq$" group:

R. Shankar, Principle of Quantum Mechanics.

O.C. Zienkiewicz, et al. The Finite Element Method.

J. Munkres, Topology.

S. Boyd, et al. Convex Optimization.

S.M. Carroll, Spacetime and Geometry

R.W. Hamming, Numerical Methods for Scientists and Engineers

T. Sauer, Numerical Analysis.

R.A. Horn, et al. Matrix Analysis

G.H. Golub, et al. Matrix Computations

W. Fulton, et al. Representation Theory

T.W. Hungerford, Algebra

N. Jacobson, Basic Algebra

I. Goodfellow, Deep Learning

the "$leqslant$" group:

D.V. Hutton, Fundamentals of Finite Element Analysis.

S.J. Farlow, Partial Differential Equations for Scientistes and Engineers

R.L. Graham, Concrete Mathematics

C.M. Bishop, Pattern Recognition and Machine Learning

It seems that most gurus preferred "$leq$".