Nonzero vectors u , v , and w are said to be linearly dependent if one of the vectors is a linear combination of the other two. For instance, there exist two nonzero real numbers α and β such that w = α u + β v . Otherwise, the vectors are called linearly independent. Show that u , v , and w are coplanar if and only if they are Linear dependent.
Nonzero vectors u , v , and w are said to be linearly dependent if one of the vectors is a linear combination of the other two. For instance, there exist two nonzero real numbers α and β such that w = α u + β v . Otherwise, the vectors are called linearly independent. Show that u , v , and w are coplanar if and only if they are Linear dependent.
Nonzero vectors
u
,
v
,
and
w
are said to be linearly dependent if one of the vectors is a linear combination of the other two. For instance, there exist two nonzero real numbers
α
and
β
such that
w
=
α
u
+
β
v
.
Otherwise, the vectors are called linearly independent. Show that
u
,
v
,
and
w
are coplanar if and only if they are Linear dependent.
Quantities that have magnitude and direction but not position. Some examples of vectors are velocity, displacement, acceleration, and force. They are sometimes called Euclidean or spatial vectors.
Q/By using Hart man theorem study the Stability of the
critical points and draw the phase portrait
of the system:-
X = -4x+2xy - 8
y° = 4y²
X2
This means that when the Radius of Convergence of the Power Series is a "finite positive real number" r>0, then every point x of the Power Series on (-r, r) will absolutely converge (x ∈ (-r, r)). Moreover, every point x on the Power Series (-∞, -r)U(r, +∞) will diverge (|x| >r). Please explain it.
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