The generalized Schur number associated with the linear
equation
is the least positive integer such that every assignment of
colors to the integers 1, ...,
contains a solution with
,
, and
of the same color (Khamseh 2020). The parameters
and
are positive integers,
and the variables in a solution need not be distinct.
For ,
this least-endpoint convention gives
, where
is the Schur number defined
as the largest interval admitting a coloring without a monochromatic solution.
Khamseh and Safareh (2026) proved
for every integer . Equivalently, for
, the least endpoint for the equation
is
.
The values for
,
4, ... are 43, 94, 173, 286, 439, ... (OEIS A083074).
If
denotes the OEIS indexing starting at
, then
. The proof combines an explicit coloring for the
lower bound with a finite symbolic case analysis for
the upper bound. The accompanying checking program
has not been independently replayed here.