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''strip method''
 
''strip method''
  
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Suppose one has a system of partial differential equations in divergence form
 
Suppose one has a system of partial differential equations in divergence form
  
<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i0516101.png" /></td> <td valign="top" style="width:5%;text-align:right;">(1)</td></tr></table>
+
$$ \tag{1 }
 +
 
 +
\frac \partial {\partial  x }
 +
P _ {i} ( x , y , u _ {1} \dots u _ {k} ) +
 +
 
 +
\frac \partial {\partial  y }
 +
Q _ {i} ( x , y , u _ {1} \dots u _ {k} ) =
 +
$$
 +
 
 +
$$
 +
= \
 +
F _ {i} ( x , y , u _ {1} \dots u _ {k} ) ,\  i = 1 \dots k,
 +
$$
 +
 
 +
where  $  P _ {i} $,
 +
$  Q _ {i} $,
 +
$  F _ {i} $
 +
are given functions in the independent variables  $  x $,
 +
$  y $
 +
and in the unknown variables  $  u _ {1} \dots u _ {k} $.
 +
Suppose further that a solution to (1) is sought for in the curvilinear rectangle with boundary  $  x = a $,
 +
$  x = b $,
 +
$  y = 0 $,
 +
$  y = \Delta ( x) $,
 +
on which  $  2k $
 +
conditions are posed, and where  $  k $
 +
of them are posed on  $  x = a $
 +
and  $  x = b $.
 +
If the function  $  \Delta ( x) $
 +
is unknown in advance, one only needs one additional condition. If the boundary contains singular points, then instead of corresponding boundary conditions one uses regularity conditions.
  
<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i0516102.png" /></td> </tr></table>
+
In the  $  N $-
 +
th approximation the domain of integration is decomposed into  $  N $
 +
strips by the lines  $  y = y _ {n} ( x) = n \Delta ( x) / N $,
 +
$  n = 1 \dots N $.  
 +
For each  $  N $
 +
one chooses a closed system of  $  N $
 +
linearly independent functions  $  f _ {n} ( y) $.  
 +
By multiplying each initial equation in (1) by  $  f _ {n} ( y) $
 +
and after integration, with respect to  $  y $,
 +
across all strips, one obtains  $  kN $
 +
integral relations of the form
  
where <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i0516103.png" />, <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i0516104.png" />, <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i0516105.png" /> are given functions in the independent variables <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i0516106.png" />, <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i0516107.png" /> and in the unknown variables <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i0516108.png" />. Suppose further that a solution to (1) is sought for in the curvilinear rectangle with boundary <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i0516109.png" />, <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161010.png" />, <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161011.png" />, <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161012.png" />, on which <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161013.png" /> conditions are posed, and where <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161014.png" /> of them are posed on <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161015.png" /> and <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161016.png" />. If the function <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161017.png" /> is unknown in advance, one only needs one additional condition. If the boundary contains singular points, then instead of corresponding boundary conditions one uses regularity conditions.
+
$$
 +
\left .  
 +
\frac{d}{dx}
 +
\int\limits _ { 0 } ^ {  \Delta  ( x) } f _ {n} ( y) P  dy -
 +
\Delta  ^  \prime  ( x) f _ {n} ( \Delta ( x) ) P \right | _ {y = \Delta ( x) }  +
 +
$$
  
In the <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161018.png" />-th approximation the domain of integration is decomposed into <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161019.png" /> strips by the lines <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161020.png" />, <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161021.png" />. For each <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161022.png" /> one chooses a closed system of <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161023.png" /> linearly independent functions <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161024.png" />. By multiplying each initial equation in (1) by <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161025.png" /> and after integration, with respect to <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161026.png" />, across all strips, one obtains <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161027.png" /> integral relations of the form
+
$$
 +
+
 +
\left . f _ {n} ( \Delta ( x)) Q \right | _ {y = \Delta ( x) }  - f _ {n} ( 0) Q ( 0) +
 +
$$
  
<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161028.png" /></td> </tr></table>
+
$$
 +
- \int\limits _ { 0 } ^ {  \Delta  ( x) } f _ {n} ^ { \prime } ( y) Q  dy
 +
= \int\limits _ { 0 } ^ {  \Delta  ( x) } f _ {n} ( y) F  dy .
 +
$$
  
<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161029.png" /></td> </tr></table>
+
The integrals  $  P $,
 +
$  Q $,
 +
$  F $
 +
are approximated by using interpolation formulas with respect to their values  $  P _ {n} $,
 +
$  Q _ {n} $,
 +
$  F _ {n} $
 +
on the boundaries of the strips. The integrals participating in the integral relations have the form
  
<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161030.png" /></td> </tr></table>
+
$$
 +
\int\limits _ { 0 } ^ {  \Delta  ( x) } f _ {n} ( y) P  dy  \approx  \Delta ( x)
 +
\sum _ { n= } 0 ^ { N }  C _ {n} P _ {n} y _ {n} ( x) ,
 +
$$
  
The integrals <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161031.png" />, <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161032.png" />, <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161033.png" /> are approximated by using interpolation formulas with respect to their values <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161034.png" />, <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161035.png" />, <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161036.png" /> on the boundaries of the strips. The integrals participating in the integral relations have the form
+
where  $  C _ {n} $
 +
are numerical coefficients depending on the choice of the interpolation formulas and the form of the  $  f _ {n} ( y) $.
 +
The result is a system of ordinary differential equations, with respect to $  x $,
 +
relative to  $  K ( N+ 1) $
 +
values of the unknown functions  $  u _ {n} $
 +
on the entire boundaries of the strips. This system is closed by  $  k $
 +
boundary conditions for  $  y = 0 $
 +
and  $  y = \Delta ( x) $.
  
<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161037.png" /></td> </tr></table>
+
The functions  $  f _ {n} ( y) $
 +
can be chosen rather arbitrarily. Choosing  $  f _ {n} ( y) = \delta ( y - y _ {n} ) $,
 +
$  n = 1 \dots N $,
 +
i.e. delta-functions, leads to the method of straight lines. In it the derivatives with respect to  $  y $
 +
are replaced by difference expressions, corresponding to the interpolation formulas chosen. When using the step-functions
  
where <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161038.png" /> are numerical coefficients depending on the choice of the interpolation formulas and the form of the <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161039.png" />. The result is a system of ordinary differential equations, with respect to <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161040.png" />, relative to <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161041.png" /> values of the unknown functions <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161042.png" /> on the entire boundaries of the strips. This system is closed by <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161043.png" /> boundary conditions for <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161044.png" /> and <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161045.png" />.
+
$$
 +
f _ {n} ( y)  = \
 +
\left \{
  
The functions <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161046.png" /> can be chosen rather arbitrarily. Choosing <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161047.png" />, <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161048.png" />, i.e. delta-functions, leads to the method of straight lines. In it the derivatives with respect to <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161049.png" /> are replaced by difference expressions, corresponding to the interpolation formulas chosen. When using the step-functions
+
\begin{array}{l}
 +
0 \  \textrm{ for }  y < y _ {n-} 1 , \\
 +
1 \  \textrm{ for }  y _ {n-} 1 \leq  y \leq  y _ {n} , \\
 +
0 \  \textrm{ for }  y > y _ {n} , \\
 +
\end{array}
 +
\right .
 +
$$
  
<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161050.png" /></td> </tr></table>
+
$  n = 1 \dots N $,
 +
one simply speaks of the integral-relation method, and the initial equations are integrated across each strip. Moreover, the conservation laws chosen for (1) are written as the following integral relations for the strips:
  
<img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161051.png" />, one simply speaks of the integral-relation method, and the initial equations are integrated across each strip. Moreover, the conservation laws chosen for (1) are written as the following integral relations for the strips:
+
$$
  
<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161052.png" /></td> </tr></table>
+
\frac{d}{dx}
 +
\int\limits _ { y _ {n-} 1 } ^ { {y _ n } } P  dy - y _ {n}  ^  \prime
 +
P ( y _ {n} )+ y _ {n-} 1  ^  \prime  P ( y _ {n-} 1 ) + Q ( y _ {n} ) - Q ( y _ {n-} 1 ) =
 +
$$
  
<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161053.png" /></td> </tr></table>
+
$$
 +
= \
 +
\int\limits _ { y _ {n-} 1 } ^ { {y _ n } } F  dy .
 +
$$
  
 
For systems of quasi-linear hyperbolic-type equations one has investigated convergence and error of the integral-relation method [[#References|[4]]]. In [[#References|[4]]] one has also established results that indicate the superiority of the integral-relation method over that of straight lines. Later papers have investigated analogous results for elliptic-type equations.
 
For systems of quasi-linear hyperbolic-type equations one has investigated convergence and error of the integral-relation method [[#References|[4]]]. In [[#References|[4]]] one has also established results that indicate the superiority of the integral-relation method over that of straight lines. Later papers have investigated analogous results for elliptic-type equations.
  
The merits of the integral-relation method are, among others: the possibility of choosing the interpolation formulas and the function <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/i/i051/i051610/i05161054.png" /> in dependence on the behaviour of the solution; the exact integration with respect to one of the variables (a result of the divergence notation of the original equations); the simplicity of the computational algorithm; and the relatively-small amount of computer memory when calculating on a computer. In the integral-relation method one approximates by an integral: this increases the accuracy of the approximation on account of a reduction of the coefficient of the remainder term; the integral is a smoother function than the integrand, thus one may reduce the number of interpolation nodes. If the integrand has discontinuities of the first kind, then the integral is a continuous function. The integral-relation method is most efficient when the solution can be obtained with good accuracy for a small number of strips.
+
The merits of the integral-relation method are, among others: the possibility of choosing the interpolation formulas and the function $  f( y) $
 +
in dependence on the behaviour of the solution; the exact integration with respect to one of the variables (a result of the divergence notation of the original equations); the simplicity of the computational algorithm; and the relatively-small amount of computer memory when calculating on a computer. In the integral-relation method one approximates by an integral: this increases the accuracy of the approximation on account of a reduction of the coefficient of the remainder term; the integral is a smoother function than the integrand, thus one may reduce the number of interpolation nodes. If the integrand has discontinuities of the first kind, then the integral is a continuous function. The integral-relation method is most efficient when the solution can be obtained with good accuracy for a small number of strips.
  
 
The approximation in two variables of the integral-relation method can be generalized to the case of equations in three variables. Approximation in two variables can be conducted also in the two-dimensional case (the domain of integration is not partitioned into strips but into subdomains then); the system of approximate equations is then a system of non-linear algebraic or transcendental equations. Elements of the integral-relation method are used in other numerical methods, e.g. in the [[Large-particle method|large-particle method]].
 
The approximation in two variables of the integral-relation method can be generalized to the case of equations in three variables. Approximation in two variables can be conducted also in the two-dimensional case (the domain of integration is not partitioned into strips but into subdomains then); the system of approximate equations is then a system of non-linear algebraic or transcendental equations. Elements of the integral-relation method are used in other numerical methods, e.g. in the [[Large-particle method|large-particle method]].

Latest revision as of 22:12, 5 June 2020


strip method

A method for solving a system of partial differential equations, based on approximately reducing a partial differential equation to a system of ordinary differential equations. It is applicable to differential equations of various types. It was introduced by A.A. Dorodnitsyn [1] as a generalization of the method of straight lines, a generalization of it with the introduction of smoothened functions was given in [2], while in [3] the method was evaluated and further developed.

Suppose one has a system of partial differential equations in divergence form

$$ \tag{1 } \frac \partial {\partial x } P _ {i} ( x , y , u _ {1} \dots u _ {k} ) + \frac \partial {\partial y } Q _ {i} ( x , y , u _ {1} \dots u _ {k} ) = $$

$$ = \ F _ {i} ( x , y , u _ {1} \dots u _ {k} ) ,\ i = 1 \dots k, $$

where $ P _ {i} $, $ Q _ {i} $, $ F _ {i} $ are given functions in the independent variables $ x $, $ y $ and in the unknown variables $ u _ {1} \dots u _ {k} $. Suppose further that a solution to (1) is sought for in the curvilinear rectangle with boundary $ x = a $, $ x = b $, $ y = 0 $, $ y = \Delta ( x) $, on which $ 2k $ conditions are posed, and where $ k $ of them are posed on $ x = a $ and $ x = b $. If the function $ \Delta ( x) $ is unknown in advance, one only needs one additional condition. If the boundary contains singular points, then instead of corresponding boundary conditions one uses regularity conditions.

In the $ N $- th approximation the domain of integration is decomposed into $ N $ strips by the lines $ y = y _ {n} ( x) = n \Delta ( x) / N $, $ n = 1 \dots N $. For each $ N $ one chooses a closed system of $ N $ linearly independent functions $ f _ {n} ( y) $. By multiplying each initial equation in (1) by $ f _ {n} ( y) $ and after integration, with respect to $ y $, across all strips, one obtains $ kN $ integral relations of the form

$$ \left . \frac{d}{dx} \int\limits _ { 0 } ^ { \Delta ( x) } f _ {n} ( y) P dy - \Delta ^ \prime ( x) f _ {n} ( \Delta ( x) ) P \right | _ {y = \Delta ( x) } + $$

$$ + \left . f _ {n} ( \Delta ( x)) Q \right | _ {y = \Delta ( x) } - f _ {n} ( 0) Q ( 0) + $$

$$ - \int\limits _ { 0 } ^ { \Delta ( x) } f _ {n} ^ { \prime } ( y) Q dy = \int\limits _ { 0 } ^ { \Delta ( x) } f _ {n} ( y) F dy . $$

The integrals $ P $, $ Q $, $ F $ are approximated by using interpolation formulas with respect to their values $ P _ {n} $, $ Q _ {n} $, $ F _ {n} $ on the boundaries of the strips. The integrals participating in the integral relations have the form

$$ \int\limits _ { 0 } ^ { \Delta ( x) } f _ {n} ( y) P dy \approx \Delta ( x) \sum _ { n= } 0 ^ { N } C _ {n} P _ {n} y _ {n} ( x) , $$

where $ C _ {n} $ are numerical coefficients depending on the choice of the interpolation formulas and the form of the $ f _ {n} ( y) $. The result is a system of ordinary differential equations, with respect to $ x $, relative to $ K ( N+ 1) $ values of the unknown functions $ u _ {n} $ on the entire boundaries of the strips. This system is closed by $ k $ boundary conditions for $ y = 0 $ and $ y = \Delta ( x) $.

The functions $ f _ {n} ( y) $ can be chosen rather arbitrarily. Choosing $ f _ {n} ( y) = \delta ( y - y _ {n} ) $, $ n = 1 \dots N $, i.e. delta-functions, leads to the method of straight lines. In it the derivatives with respect to $ y $ are replaced by difference expressions, corresponding to the interpolation formulas chosen. When using the step-functions

$$ f _ {n} ( y) = \ \left \{ \begin{array}{l} 0 \ \textrm{ for } y < y _ {n-} 1 , \\ 1 \ \textrm{ for } y _ {n-} 1 \leq y \leq y _ {n} , \\ 0 \ \textrm{ for } y > y _ {n} , \\ \end{array} \right . $$

$ n = 1 \dots N $, one simply speaks of the integral-relation method, and the initial equations are integrated across each strip. Moreover, the conservation laws chosen for (1) are written as the following integral relations for the strips:

$$ \frac{d}{dx} \int\limits _ { y _ {n-} 1 } ^ { {y _ n } } P dy - y _ {n} ^ \prime P ( y _ {n} )+ y _ {n-} 1 ^ \prime P ( y _ {n-} 1 ) + Q ( y _ {n} ) - Q ( y _ {n-} 1 ) = $$

$$ = \ \int\limits _ { y _ {n-} 1 } ^ { {y _ n } } F dy . $$

For systems of quasi-linear hyperbolic-type equations one has investigated convergence and error of the integral-relation method [4]. In [4] one has also established results that indicate the superiority of the integral-relation method over that of straight lines. Later papers have investigated analogous results for elliptic-type equations.

The merits of the integral-relation method are, among others: the possibility of choosing the interpolation formulas and the function $ f( y) $ in dependence on the behaviour of the solution; the exact integration with respect to one of the variables (a result of the divergence notation of the original equations); the simplicity of the computational algorithm; and the relatively-small amount of computer memory when calculating on a computer. In the integral-relation method one approximates by an integral: this increases the accuracy of the approximation on account of a reduction of the coefficient of the remainder term; the integral is a smoother function than the integrand, thus one may reduce the number of interpolation nodes. If the integrand has discontinuities of the first kind, then the integral is a continuous function. The integral-relation method is most efficient when the solution can be obtained with good accuracy for a small number of strips.

The approximation in two variables of the integral-relation method can be generalized to the case of equations in three variables. Approximation in two variables can be conducted also in the two-dimensional case (the domain of integration is not partitioned into strips but into subdomains then); the system of approximate equations is then a system of non-linear algebraic or transcendental equations. Elements of the integral-relation method are used in other numerical methods, e.g. in the large-particle method.

The integral-relation method is mostly used in gas dynamics, where a number of practically-important problems have been solved by using it. Three schemes of the integral-relation method have been considered here: 1) the domain of integration is partitioned by lines passing through the surface of the body and the shock waves (Fig.a); 2) the domain of integration is partitioned by lines passing through the axis of symmetry and the boundary characteristics (Fig.b); and 3) the partitioning is into subdomains by two families of intersecting lines (Fig.c).

Figure: i051610a

Figure: i051610b

Figure: i051610c

The integral-relation method for computing supersonic flow around the fore part of a blunted body with propagating shock waves was developed in [5], in which a numerical solution to this problem in a direct formulation was obtained for the first time. The solutions for most general cases have been found (bodies of various forms; spatial flow; the flow of a real gas under equilibrium and non-equilibrium physical-chemical changes and radiations; non-stationary motion; and the flow of a viscous gas, [6]). The method has also been used for computing the potential flow of a gas [7], and for solving some mixed problems: flow in sub- and transonic parts of jets [8]. Pre-critical flow around a profile under an angle of attack with a place of the supersonic region has been considered [9]. Supersonic conic gas flow has been clarified by the integral-relation method.

The integral-relation method has found wide application in computing the flow of a viscous gas in the theory of boundary layers. In the laminar incompressible case a solution has been obtained up to the point of discontinuity [2]. Further, laminar boundary layers in a gas taking into account blowing-up or suction, radiation or heath conduction have been calculated. By the integral-relation method one has obtained solutions to the non-stationary problem of a point one-dimensional discontinuity in a gas taking counter-pressure into account, as well as in a gas with infinite conductivity in the presence of a magnetic field and in a heated gas.

References

[1] A.A. Dorodnitsyn, "On a method for numerically solving certain nonlinear problems of aerohydrodynamics" , Proc. third All-Union Math. Congress , 3 , Moscow (1956) pp. 447–453 (In Russian)
[2] A.A. Dorodnitsyn, "On a method for solving the laminar boundary layer equation" Zh. Priklad. Mekh. i Tekhn. Fiz. , 1 : 3 (1960) pp. 111–118 (In Russian)
[3] O.M. Belotserkovskii, P.I. Chushkin, "A numerical method of integral relations" USSR Comp. Math. Math. Phys. , 2 (1963) pp. 823–858 Zh. Vychisl. Mat. Mat. Fiz. , 2 : 5 (1962) pp. 731–759
[4] V.V. Bobkov, V.I. Krylov, "The method of integral relations for equations and systems of hyperbolic type" Differentsial'nye Uravneniya , 1 : 2 (1965) pp. 230–243 (In Russian)
[5] O.M. Belotserkovskii, "Flow around a circular cylinder with a detached shockwave" Dokl. Akad. Nauk SSSR , 113 : 3 (1957) pp. 509–512 (In Russian)
[6] O.M. Belotserkovskii, et al., "Flow of a supersonic gas around blunted bodies; theoretical and experimental investigations" , Moscow (1967) (In Russian)
[7] P.I. Chuskin, "Subsonic gas flow around ellipses and ellipsoids" Vychisl. Mat. , 2 (1957) pp. 20–44 (In Russian)
[8] Ya.I. Alikhashkin, A.P. Favorskii, P.I. Chushkin, "On the calculation of the flow in a plane laval nozzle" USSR Comp. Math. Math. Phys. , 3 : 6 (1963) pp. 1552–1558 Zh. Vychisl. Mat. Mat. Fiz. , 3 : 6 (1963) pp. 1130–1134
[9] T.C. Tai, "Transonic inviscid flow over lifting airfoils by the method of integral relations" J. AIAA , 12 (1974) pp. 798–804
[10] V.P. Korobeinikov, P.I. Chushkin, "Plane, cylindrical, and spherical explosions in a gas with counterpressure" Proc. Steklov Inst. Math. , 87 (1967) pp. 1–40 Trudy Mat. Inst. Steklov. , 87 (1966) pp. 4–34
How to Cite This Entry:
Integral-relation method. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Integral-relation_method&oldid=47363
This article was adapted from an original article by Yu.M. Davydov (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098. See original article