Differential forms Conservation law
in continuum mechanics, general form of exact conservation law given continuity equation. example, conservation of electric charge q is
∂
ρ
∂
t
=
−
∇
⋅
j
{\displaystyle {\frac {\partial \rho }{\partial t}}=-\nabla \cdot \mathbf {j} \,}
where ∇⋅ divergence operator, ρ density of q (amount per unit volume), j flux of q (amount crossing unit area in unit time), , t time.
if assume motion u of charge continuous function of position , time, then
j
=
ρ
u
{\displaystyle \mathbf {j} =\rho \mathbf {u} }
∂
ρ
∂
t
=
−
∇
⋅
(
ρ
u
)
.
{\displaystyle {\frac {\partial \rho }{\partial t}}=-\nabla \cdot (\rho \mathbf {u} )\,.}
in 1 space dimension can put form of homogeneous first-order quasilinear hyperbolic equation:
y
t
+
a
(
y
)
y
x
=
0
{\displaystyle y_{t}+a(y)y_{x}=0}
where dependent variable y called density of conserved quantity, , a(y) called current jacobian, , subscript notation partial derivatives has been employed. more general inhomogeneous case:
y
t
+
a
(
y
)
y
x
=
s
{\displaystyle y_{t}+a(y)y_{x}=s}
is not conservation equation general kind of balance equation describing dissipative system. dependent variable y called nonconserved quantity, , inhomogeneous term s(y,x,t) the-source, or dissipation. example, balance equations of kind momentum , energy navier-stokes equations, or entropy balance general isolated system.
in one-dimensional space conservation equation first-order quasilinear hyperbolic equation can put advection form:
y
t
+
a
(
y
)
y
x
=
0
{\displaystyle y_{t}+a(y)y_{x}=0}
where dependent variable y(x,t) called density of conserved (scalar) quantity (c.q.(d.) = conserved quantity (density)), , a(y) called current coefficient, corresponding partial derivative in conserved quantity of current density (c.d.) of conserved quantity j(y):
a
(
y
)
=
j
y
(
y
)
{\displaystyle a(y)=j_{y}(y)}
in case since chain rule applies:
j
x
=
j
y
(
y
)
y
x
=
a
(
y
)
y
x
{\displaystyle j_{x}=j_{y}(y)y_{x}=a(y)y_{x}}
the conservation equation can put current density form:
y
t
+
j
x
(
y
)
=
0
{\displaystyle y_{t}+j_{x}(y)=0}
in space more 1 dimension former definition can extended equation can put form:
y
t
+
a
(
y
)
⋅
∇
y
=
0
{\displaystyle y_{t}+\mathbf {a} (y)\cdot \nabla y=0}
where conserved quantity y(r,t),
⋅
{\displaystyle \cdot }
denotes scalar product, ∇ nabla operator, here indicating gradient, , a(y) vector of current coefficients, analogously corresponding divergence of vector c.d. associated c.q. j(y):
y
t
+
∇
⋅
j
(
y
)
=
0
{\displaystyle y_{t}+\nabla \cdot \mathbf {j} (y)=0}
this case continuity equation:
ρ
t
+
∇
⋅
(
ρ
u
)
=
0
{\displaystyle \rho _{t}+\nabla \cdot (\rho \mathbf {u} )=0}
here conserved quantity mass, density ρ(r,t) , current density ρu, identical momentum density, while u(r,t) flow velocity.
in general case conservation equation can system of kind of equations (a vector equation) in form:
y
t
+
a
(
y
)
⋅
∇
y
=
0
{\displaystyle \mathbf {y} _{t}+\mathbf {a} (\mathbf {y} )\cdot \nabla \mathbf {y} =\mathbf {0} }
where y called conserved (vector) quantity, ∇ y gradient, 0 0 vector, , a(y) called jacobian of current density. in fact in former scalar case, in vector case a(y) corresponding jacobian of current density matrix j(y):
a
(
y
)
=
j
y
(
y
)
{\displaystyle \mathbf {a} (\mathbf {y} )=\mathbf {j} _{\mathbf {y} }(\mathbf {y} )}
and conservation equation can put form:
y
t
+
∇
⋅
j
(
y
)
=
0
{\displaystyle \mathbf {y} _{t}+\nabla \cdot \mathbf {j} (\mathbf {y} )=\mathbf {0} }
for example, case euler equations (fluid dynamics). in simple incompressible case are:
∇
⋅
u
=
0
∂
u
∂
t
+
u
⋅
∇
u
+
∇
s
=
0
,
{\displaystyle {\begin{aligned}\nabla \cdot {\mathbf {u}}=0\\[1.2ex]{\partial {\mathbf {u}} \over \partial t}+{\mathbf {u}}\cdot \nabla {\mathbf {u}}+\nabla s={\mathbf {0}},\end{aligned}}}
where:
u flow velocity vector, components in n-dimensional space u1, u2 ... un,
s specific pressure (pressure per unit density) giving source term,
it can shown conserved (vector) quantity , c.d. matrix these equations respectively:
y
=
(
1
u
)
;
j
=
(
u
u
⊗
u
+
s
i
)
;
{\displaystyle {\mathbf {y}}={\begin{pmatrix}1\\{\mathbf {u}}\end{pmatrix}};\qquad {\mathbf {j}}={\begin{pmatrix}{\mathbf {u}}\\{\mathbf {u}}\otimes {\mathbf {u}}+s{\mathbf {i}}\end{pmatrix}};\qquad }
where
⊗
{\displaystyle \otimes }
denotes outer product.
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