- Source: System of differential equations
In mathematics, a system of differential equations is a finite set of differential equations. Such a system can be either linear or non-linear. Also, such a system can be either a system of ordinary differential equations or a system of partial differential equations.
Linear systems of differential equations
A first-order linear system of ODEs is a system in which every equation is first order and depends on the unknown functions linearly. Here we consider systems with an equal number of unknown functions and equations. These may be written as
d
x
j
d
t
=
a
j
1
(
t
)
x
1
+
…
+
a
j
n
(
t
)
x
n
+
g
j
(
t
)
,
j
=
1
,
…
,
n
{\displaystyle {\frac {dx_{j}}{dt}}=a_{j1}(t)x_{1}+\ldots +a_{jn}(t)x_{n}+g_{j}(t),\qquad j=1,\ldots ,n}
where
n
{\displaystyle n}
is a positive integer, and
a
j
i
(
t
)
,
g
j
(
t
)
{\displaystyle a_{ji}(t),g_{j}(t)}
are arbitrary functions of the independent variable t. A first-order linear system of ODEs may be written in matrix form:
d
d
t
[
x
1
x
2
⋮
x
n
]
=
[
a
11
…
a
1
n
a
21
…
a
2
n
⋮
…
⋮
a
n
1
a
n
n
]
[
x
1
x
2
⋮
x
n
]
+
[
g
1
g
2
⋮
g
n
]
,
{\displaystyle {\frac {d}{dt}}{\begin{bmatrix}x_{1}\\x_{2}\\\vdots \\x_{n}\end{bmatrix}}={\begin{bmatrix}a_{11}&\ldots &a_{1n}\\a_{21}&\ldots &a_{2n}\\\vdots &\ldots &\vdots \\a_{n1}&&a_{nn}\end{bmatrix}}{\begin{bmatrix}x_{1}\\x_{2}\\\vdots \\x_{n}\end{bmatrix}}+{\begin{bmatrix}g_{1}\\g_{2}\\\vdots \\g_{n}\end{bmatrix}},}
or simply
x
˙
(
t
)
=
A
(
t
)
x
(
t
)
+
g
(
t
)
{\displaystyle \mathbf {\dot {x}} (t)=\mathbf {A} (t)\mathbf {x} (t)+\mathbf {g} (t)}
.
= Homogeneous systems of differential equations
=A linear system is said to be homogeneous if
g
j
(
t
)
=
0
{\displaystyle g_{j}(t)=0}
for each
j
{\displaystyle j}
and for all values of
t
{\displaystyle t}
, otherwise it is referred to as non-homogeneous. Homogeneous systems have the property that if
x
1
,
…
,
x
p
{\displaystyle \mathbf {x_{1}} ,\ldots ,\mathbf {x_{p}} }
are linearly independent solutions to the system, then any linear combination of these,
C
1
x
1
+
…
+
C
p
x
p
{\displaystyle C_{1}\mathbf {x_{1}} +\ldots +C_{p}\mathbf {x_{p}} }
, is also a solution to the linear system where
C
1
,
…
,
C
p
{\displaystyle C_{1},\ldots ,C_{p}}
are constant.
The case where the coefficients
a
j
i
(
t
)
{\displaystyle a_{ji}(t)}
are all constant has a general solution:
x
=
C
1
v
1
e
λ
1
t
+
…
+
C
n
v
n
e
λ
n
t
{\displaystyle \mathbf {x} =C_{1}\mathbf {v_{1}} e^{\lambda _{1}t}+\ldots +C_{n}\mathbf {v_{n}} e^{\lambda _{n}t}}
, where
λ
i
{\displaystyle \lambda _{i}}
is an eigenvalue of the matrix
A
{\displaystyle \mathbf {A} }
with corresponding eigenvectors
v
i
{\displaystyle \mathbf {v} _{i}}
for
1
≤
i
≤
n
{\displaystyle 1\leq i\leq n}
. This general solution only applies in cases where
A
{\displaystyle \mathbf {A} }
has n distinct eigenvalues, cases with fewer distinct eigenvalues must be treated differently.
Linear independence of solutions
For an arbitrary system of ODEs, a set of solutions
x
1
(
t
)
,
…
,
x
n
(
t
)
{\displaystyle \mathbf {x_{1}} (t),\ldots ,\mathbf {x_{n}} (t)}
are said to be linearly-independent if:
C
1
x
1
(
t
)
+
…
+
C
n
x
n
=
0
∀
t
{\displaystyle C_{1}\mathbf {x_{1}} (t)+\ldots +C_{n}\mathbf {x_{n}} =0\quad \forall t}
is satisfied only for
C
1
=
…
=
C
n
=
0
{\displaystyle C_{1}=\ldots =C_{n}=0}
.
A second-order differential equation
x
¨
=
f
(
t
,
x
,
x
˙
)
{\displaystyle {\ddot {x}}=f(t,x,{\dot {x}})}
may be converted into a system of first order linear differential equations by defining
y
=
x
˙
{\displaystyle y={\dot {x}}}
, which gives us the first-order system:
{
x
˙
=
y
y
˙
=
f
(
t
,
x
,
y
)
{\displaystyle {\begin{cases}{\dot {x}}&=&y\\{\dot {y}}&=&f(t,x,y)\end{cases}}}
Just as with any linear system of two equations, two solutions may be called linearly-independent if
C
1
x
1
+
C
2
x
2
=
0
{\displaystyle C_{1}\mathbf {x} _{1}+C_{2}\mathbf {x} _{2}=\mathbf {0} }
implies
C
1
=
C
2
=
0
{\displaystyle C_{1}=C_{2}=0}
, or equivalently that
|
x
1
x
2
x
˙
1
x
˙
2
|
{\displaystyle {\begin{vmatrix}x_{1}&x_{2}\\{\dot {x}}_{1}&{\dot {x}}_{2}\end{vmatrix}}}
is non-zero. This notion is extended to second-order systems, and any two solutions to a second-order ODE are called linearly-independent if they are linearly-independent in this sense.
Overdetermination of systems of differential equations
Like any system of equations, a system of linear differential equations is said to be overdetermined if there are more equations than the unknowns. For an overdetermined system to have a solution, it needs to satisfy the compatibility conditions. For example, consider the system:
∂
u
∂
x
i
=
f
i
,
1
≤
i
≤
m
.
{\displaystyle {\frac {\partial u}{\partial x_{i}}}=f_{i},1\leq i\leq m.}
Then the necessary conditions for the system to have a solution are:
∂
f
i
∂
x
k
−
∂
f
k
∂
x
i
=
0
,
1
≤
i
,
k
≤
m
.
{\displaystyle {\frac {\partial f_{i}}{\partial x_{k}}}-{\frac {\partial f_{k}}{\partial x_{i}}}=0,1\leq i,k\leq m.}
See also: Cauchy problem and Ehrenpreis's fundamental principle.
Nonlinear system of differential equations
Perhaps the most famous example of a nonlinear system of differential equations is the Navier–Stokes equations. Unlike the linear case, the existence of a solution of a nonlinear system is a difficult problem (cf. Navier–Stokes existence and smoothness.)
Other examples of nonlinear systems of differential equations include the Lotka–Volterra equations.
Differential system
A differential system is a means of studying a system of partial differential equations using geometric ideas such as differential forms and vector fields.
For example, the compatibility conditions of an overdetermined system of differential equations can be succinctly stated in terms of differential forms (i.e., for a form to be exact, it needs to be closed). See integrability conditions for differential systems for more.
See also
Integral geometry
Cartan–Kuranishi prolongation theorem
Notes
References
L. Ehrenpreis, The Universality of the Radon Transform, Oxford Univ. Press, 2003.
Gromov, M. (1986), Partial differential relations, Springer, ISBN 3-540-12177-3
M. Kuranishi, "Lectures on involutive systems of partial differential equations", Publ. Soc. Mat. São Paulo (1967)
Pierre Schapira, Microdifferential systems in the complex domain, Grundlehren der Math- ematischen Wissenschaften, vol. 269, Springer-Verlag, 1985.
Further reading
https://mathoverflow.net/questions/273235/a-very-basic-question-about-projections-in-formal-pde-theory
https://www.encyclopediaofmath.org/index.php/Involutional_system
https://www.encyclopediaofmath.org/index.php/Complete_system
https://www.encyclopediaofmath.org/index.php/Partial_differential_equations_on_a_manifold
Kata Kunci Pencarian:
- Sistem dinamis
- Medali Royal
- Buku ilmu antik
- Kaidah Cramer
- Teorema dasar aljabar
- Lapangan (matematika)
- System of differential equations
- System of equations
- Differential-algebraic system of equations
- Nonlinear system
- Ordinary differential equation
- Differential equation
- List of dynamical systems and differential equations topics
- Partial differential equation
- Linear differential equation
- Stochastic differential equation
