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In systems theory and linear algebra , a Gramian matrix is a real symmetric matrix that can be used to test for linear independence of functions . The Gramian matrix of a set of functions
{
l
i
(
⋅
)
,
i
=
1
,
…
,
n
}
{\displaystyle \{l_{i}(\cdot ),\,i=1,\dots ,n\}}
is defined as
G
=
[
G
i
j
]
,
G
i
j
=
∫
t
0
t
f
l
i
(
τ
)
l
j
(
τ
)
d
τ
{\displaystyle G=,\,\,G_{ij}=\int _{t_{0}}^{t_{f}}l_{i}(\tau )l_{j}(\tau )\,d\tau }
If the functions are linearly independent, then
G
{\displaystyle G}
is nonsingular .
In fact this is a special case of a quantitative measure of linear independence of vectors, available in any Hilbert space .
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