Riemann invariant
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Riemann invariants are mathematical transformations made on a system of
conservation equation In physics, a conservation law states that a particular measurable property of an isolated physical system does not change as the system evolves over time. Exact conservation laws include conservation of energy, conservation of linear momentum, co ...
s to make them more easily solvable. Riemann invariants are constant along the characteristic curves of the partial differential equations where they obtain the name invariant. They were first obtained by Bernhard Riemann in his work on plane waves in gas dynamics.


Mathematical theory

Consider the set of conservation equations: : l_i\left(A_ \frac +a_\frac \right)+l_j b_j=0 where A_ and a_ are the elements of the
matrices Matrix most commonly refers to: * ''The Matrix'' (franchise), an American media franchise ** ''The Matrix'', a 1999 science-fiction action film ** "The Matrix", a fictional setting, a virtual reality environment, within ''The Matrix'' (franchis ...
\mathbf and \mathbf where l_ and b_ are elements of
vector Vector most often refers to: *Euclidean vector, a quantity with a magnitude and a direction *Vector (epidemiology), an agent that carries and transmits an infectious pathogen into another living organism Vector may also refer to: Mathematic ...
s. It will be asked if it is possible to rewrite this equation to : m_j\left(\beta\frac +\alpha\frac \right)+l_j b_j=0 To do this curves will be introduced in the (x,t) plane defined by the vector field (\alpha,\beta). The term in the brackets will be rewritten in terms of a
total derivative In mathematics, the total derivative of a function at a point is the best linear approximation near this point of the function with respect to its arguments. Unlike partial derivatives, the total derivative approximates the function with res ...
where x,t are parametrized as x=X(\eta),t=T(\eta) : \frac=T'\frac+X'\frac comparing the last two equations we find : \alpha=X'(\eta), \beta=T'(\eta) which can be now written in characteristic form : m_j\frac+l_jb_j = 0 where we must have the conditions :l_iA_=m_jT' :l_ia_=m_jX' where m_j can be eliminated to give the necessary condition :l_i(A_X'-a_T')=0 so for a nontrivial solution is the determinant :, A_X'-a_T', =0 For Riemann invariants we are concerned with the case when the matrix \mathbf is an identity matrix to form : \frac +a_\frac=0 notice this is homogeneous due to the vector \mathbf being zero. In characteristic form the system is : l_i\frac=0 with \frac=\lambda Where l is the left
eigenvector In linear algebra, an eigenvector () or characteristic vector of a linear transformation is a nonzero vector that changes at most by a scalar factor when that linear transformation is applied to it. The corresponding eigenvalue, often denoted ...
of the matrix \mathbf and \lambda 's is the characteristic speeds of the eigenvalues of the matrix \mathbf which satisfy : , A -\lambda\delta_, =0 To simplify these characteristic equations we can make the transformations such that \frac=l_i\frac which form : \mu l_idu_i =dr An
integrating factor In mathematics, an integrating factor is a function that is chosen to facilitate the solving of a given equation involving differentials. It is commonly used to solve ordinary differential equations, but is also used within multivariable calcul ...
\mu can be multiplied in to help integrate this. So the system now has the characteristic form : \frac=0 on \frac=\lambda_i which is equivalent to the diagonal system :r_t^k +\lambda_kr_x^k=0, k=1,...,N. The solution of this system can be given by the generalized hodograph method.


Example

Consider the one-dimensional
Euler equations 200px, Leonhard Euler (1707–1783) In mathematics and physics, many topics are named in honor of Swiss mathematician Leonhard Euler (1707–1783), who made many important discoveries and innovations. Many of these items named after Euler include ...
written in terms of density \rho and velocity u are : \rho_t+\rho u_x+u\rho_x=0 : u_t+uu_x+(c^2/\rho)\rho_x=0 with c being the speed of sound is introduced on account of isentropic assumption. Write this system in matrix form : \left( \begin \rho\\ u \end\right)_t +\left( \begin u&\rho\\ \frac&u \end\right) \left( \begin \rho\\ u \end\right)_x=\left( \begin 0\\ 0 \end\right) where the matrix \mathbf from the analysis above the eigenvalues and eigenvectors need to be found. The eigenvalues are found to satisfy : \lambda^2-2u\lambda+u^2-c^2=0 to give : \lambda=u\pm c and the eigenvectors are found to be : \left( \begin 1\\ \frac \end\right),\left( \begin 1\\ -\frac \end\right) where the Riemann invariants are : r_1=J_+=u+\int \fracd\rho, : r_2=J_-=u-\int \fracd\rho, (J_+ and J_- are the widely used notations in
gas dynamics Compressible flow (or gas dynamics) is the branch of fluid mechanics that deals with flows having significant changes in fluid density. While all flows are compressible, flows are usually treated as being incompressible when the Mach number (the ...
). For perfect gas with constant specific heats, there is the relation c^2=\text\, \gamma \rho^, where \gamma is the specific heat ratio, to give the Riemann invariantsCourant, R., & Friedrichs, K. O. 1948 Supersonic flow and shock waves. New York: Interscience. : J_+=u+\fracc, : J_-=u-\fracc, to give the equations : \frac+(u+c)\frac=0 : \frac+(u-c)\frac=0 In other words, : \begin &dJ_+ = 0, \, J_+=\text\quad \text\,\, C_+\, :\, \frac=u+c, \\ &dJ_- = 0, \, J_-=\text\quad \text\,\, C_-\, :\, \frac=u-c, \end where C_+ and C_- are the characteristic curves. This can be solved by the hodograph transformation. In the hodographic plane, if all the characteristics collapses into a single curve, then we obtain simple waves. If the matrix form of the system of pde's is in the form : A\frac+B\frac=0 Then it may be possible to multiply across by the inverse matrix A^ so long as the matrix
determinant In mathematics, the determinant is a scalar value that is a function of the entries of a square matrix. It characterizes some properties of the matrix and the linear map represented by the matrix. In particular, the determinant is nonzero if a ...
of \mathbf is not zero.


See also

* Simple wave


References

{{Bernhard Riemann Invariant theory Partial differential equations Conservation equations Bernhard Riemann