The sub-defect of a doubly stochastic matrix
A
A
, denoted as
s
d
(
A
)
=
⌈
n
−
sum
(
A
)
⌉
sd\left(A)=\lceil n-{\rm{sum}}\left(A)\rceil
, is defined as the minimum number of rows and columns required to be added to transform the doubly substochastic matrix into a doubly stochastic matrix. Here,
n
n
signifies the matrix size, and
sum
(
A
)
{\rm{sum}}\left(A)
represents the sum of all entries of
A
A
. This article systematically examines the sub-defect characteristics inherited in doubly stochastic matrices, specifically in the context of symmetric, Hankel-symmetric, and centrosymmetric doubly substochastic matrices. Furthermore, we present illustrative examples to elucidate the practical applicability and significance of our approach in comprehending and manipulating the sub-defect of these specialized matrices.