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Difference between revisions of "Butcher series"

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The rooted trees with at most four nodes are displayed in the table below.
 
The rooted trees with at most four nodes are displayed in the table below.
  
<table border="0" cellpadding="0" cellspacing="0" style="background-color:black;"> <tr><td> <table border="0" cellspacing="1" cellpadding="4" style="background-color:black;"> <tbody> <tr> <td colname="1" style="background-color:white;" colspan="1"> $  t _ {1} = $
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{| class="wikitable"
</td> <td colname="2" style="background-color:white;" colspan="1">
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|-
[[File:Rooted tree 0.svg|50px]]
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| $t_1$ || $t_2=[t_1]$ || $ t_{3} = [t_{1},t_{1}]$ || $t_4 = [t_2]$  
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|-
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| [[File:Rooted tree 0.svg|50px]] || [[File:Rooted tree 10.svg|50px]] || [[File:Rooted tree 200.svg|100px]]|| [[File:Rooted tree 110.svg|50px]]
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|-
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|}
  
</td> </tr> <tr> <td colname="1" style="background-color:white;" colspan="1"> $ t _ {2} = [ t _ {1} ] = $
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{| class="wikitable"
</td> <td colname="2" style="background-color:white;" colspan="1">
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|-
[[File:Rooted tree 10.svg|50px]]
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| $t_5 =[t_1,t_1,t_1]$ || $t_6=[t_2,t_1]$ || $ t_{7} = [t_{3}]$ || t_{8} = [t_4]$  
 
+
|-
</td> </tr> <tr> <td colname="1" style="background-color:white;" colspan="1"> $ t _ {3} = [ t _ {1} ,t _ {1} ] = $
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| [[File:Rooted tree 3000.svg|100px]] || [[File:Rooted tree 2100.svg|100px]] || [[File:Rooted tree 1200.svg|100px]]|| [[File:Rooted tree 1110.svg|50px]]  
</td> <td colname="2" style="background-color:white;" colspan="1">
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|-
 
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|}
[[File:Rooted tree 200.svg|100px]]
 
 
 
</td> </tr> <tr> <td colname="1" style="background-color:white;" colspan="1"> $ t _ {4} = [ t _ {2} ] = $
 
</td> <td colname="2" style="background-color:white;" colspan="1">
 
 
 
[[File:Rooted tree 110.svg|50px]]
 
 
 
</td> </tr> <tr> <td colname="1" style="background-color:white;" colspan="1"> t _ {5} = [ t _ {1} ,t _ {1} ,t _ {1} ] = $
 
</td> <td colname="2" style="background-color:white;" colspan="1">
 
 
 
[[File:Rooted tree 3000.svg|100px]]
 
 
 
</td> </tr> <tr> <td colname="1" style="background-color:white;" colspan="1"> $  t _ {6} = [ t _ {2} ,t _ {1} ] = $
 
</td> <td colname="2" style="background-color:white;" colspan="1">
 
 
 
[[File:Rooted tree 2100.svg|100px]]
 
 
 
</td> </tr> <tr> <td colname="1" style="background-color:white;" colspan="1"> $  t _ {7} = [ t _ {3} ] = $
 
</td> <td colname="2" style="background-color:white;" colspan="1">
 
 
 
[[File:Rooted tree 1200.svg|100px]]
 
 
 
</td> </tr> <tr> <td colname="1" style="background-color:white;" colspan="1"> $  t _ {8} = [ t _ {4} ] = $
 
</td> <td colname="2" style="background-color:white;" colspan="1">
 
 
 
[[File:Rooted tree 1110.svg|50px]]
 
 
 
</td> </tr> </tbody> </table>
 
 
 
</td></tr> </table>
 
  
 
Using this bracket notation for rooted trees, one can recursively define elementary differentials, as follows. Let
 
Using this bracket notation for rooted trees, one can recursively define elementary differentials, as follows. Let

Revision as of 13:18, 17 March 2023


B-series

Let $ y : \mathbf R \rightarrow {\mathbf R ^ {d} } $ be an analytic function satisfying an ordinary differential equation $ y ^ \prime ( x ) = f ( y ( x ) ) $. A Butcher series for $ y $ is a series of the form

$$ B ( a,y ( x ) ) = \sum _ {t \in T } a ( t ) F ( t ) ( y ( x ) ) { \frac{h ^ {\rho ( t ) } }{\rho ( t ) ! } } , $$

where $ T $ is the set of rooted trees, $ a ( t ) \in \mathbf R $ is the coefficient for the series associated with the tree $ t $, $ F ( t ) ( y ( x ) ) \in \mathbf R ^ {d} $ is the elementary differential associated with the tree $ t $, $ h \in \mathbf R $ is a stepsize or $ x $- increment, and $ \rho ( t ) $, often called the order of the tree $ t $, is the number of nodes in the tree $ t $. All terms will be defined below. For a more thorough discussion of Butcher series, see [a1] or [a2].

Definitions

A tree is a connected acyclic graph (cf. also Graph). A rooted tree is a tree with a distinguished node, called the root (which is drawn at the bottom of the sample trees in the Table). Two rooted trees $t$ and $\widehat{t}$ are isomorphic (i.e. equivalent) if and only if there is a bijection $\sigma $ from the nodes of $t$ to the nodes of $\widehat{t}$ such that $ \sigma $ maps the root of $ t $ to the root of $ {\widehat{t} } $ and any two nodes $ n _ {1} $ and $ n _ {2} $ are connected by an edge in $ t $ if and only if $ \sigma ( n _ {1} ) $ and $ \sigma ( n _ {2} ) $ are connected by an edge in $ {\widehat{t} } $.

The following bracket notation for rooted trees is very useful. Let $\bullet$ be the tree with one node. For rooted trees $ t_{1} \dots t _ {m} $ with $ \rho ( t _ {i} ) \geq 1 $ for $ i = 1 \dots m $, let $ t = [ t _ {1} \dots t _ {m} ] $ be the rooted tree formed by connecting a new root to the roots of each of $ t _ {1} \dots t _ {m} $. Clearly, $ \rho ( t ) = 1 + \sum _ {i = 1 } ^ {m} \rho ( t _ {i} ) $ and any rooted tree formed by permuting the subtrees $ t _ {1} \dots t _ {m} $ of $ t $ is isomorphic to $ t $.

The rooted trees with at most four nodes are displayed in the table below.

$t_1$ $t_2=[t_1]$ $ t_{3} = [t_{1},t_{1}]$ $t_4 = [t_2]$
Rooted tree 0.svg Rooted tree 10.svg Rooted tree 200.svg Rooted tree 110.svg
$t_5 =[t_1,t_1,t_1]$ $t_6=[t_2,t_1]$ $ t_{7} = [t_{3}]$ $ t_{8} = [t_4]$
Rooted tree 3000.svg Rooted tree 2100.svg Rooted tree 1200.svg Rooted tree 1110.svg

Using this bracket notation for rooted trees, one can recursively define elementary differentials, as follows. Let

$$ F ( \emptyset ) ( y ( x ) ) = y ( x ) , \quad F ( \bullet ) ( y ( x ) ) = f ( y ( x ) ) , $$

and, for $ t = [ t _ {1} \dots t _ {m} ] $ with $ \rho ( t _ {i} ) \geq 1 $ for $ i = 1 \dots m $,

$$ F ( t ) ( y ( x ) ) = $$

$$ = f ^ {( m ) } ( y ( x ) ) ( F ( t _ {1} ) ( y ( x ) ) \dots F ( t _ {m} ) ( y ( x ) ) ) , $$

where $ f ^ {( m ) } ( y ( x ) ) $, the $ m $ th derivative of $ f $ with respect to $ y $, is a multi-linear mapping.

Since $ y ( x ) $ satisfies $ y ^ \prime ( x ) = f ( y ( x ) ) $, it is not hard to show that

$$ y ^ {( i ) } ( x ) = \sum _ {t \in T _ {i} } \alpha ( t ) F ( t ) ( y ( x ) ) , $$

where $ y ^ {( i ) } ( x ) $ is the $ i $ th derivative of $ y $ with respect to $ x $, $ T _ {i} = \{ {t \in T } : {\rho ( t ) = i } \} $, and $ \alpha ( t ) $ is the number of distinct ways of labeling the nodes of $ t $ with the integers $ \{ 1 \dots \rho ( t ) \} $ such that the labels increase as you follow any path from the root to a leaf of $ t $. Consequently, one can write the Taylor series for $ y ( x ) $ as a Butcher series:

$$ \tag{a1 } y ( x + h ) = \sum _ {i = 0 } ^ \infty y ^ {( i ) } ( x ) { \frac{h ^ {i} }{i! } } = $$

$$ = \sum _ {t \in T } \alpha ( t ) F ( t ) ( y ( x ) ) { \frac{h ^ {\rho ( t ) } }{\rho ( t ) ! } } . $$

The importance of Butcher series stems from their use to derive and to analyze numerical methods for differential equations. For example, consider the $ s $- stage Runge–Kutta formula (cf. Runge–Kutta method)

$$ \tag{a2 } y _ {n + 1 } = y _ {n} + h \sum _ {i = 1 } ^ { s } b _ {i} k _ {i} , $$

$$ k _ {i} = f \left ( y _ {n} + h \sum _ {j = 1 } ^ { s } a _ {ij } k _ {j} \right ) , $$

for the ordinary differential equation $ y ^ \prime ( x ) = f ( y ( x ) ) $. Let $ b = ( b _ {1} \dots b _ {s} ) ^ {T} \in \mathbf R ^ {s} $ be the vector of weights and $ A = [ a _ {ij } ] \in \mathbf R ^ {s \times s } $ the coefficient matrix for (a2). Then it can be shown that $ y _ {n + 1 } $ can be written as the Butcher series

$$ \tag{a3 } y _ {n + 1 } = \sum _ {t \in T } \alpha ( t ) \psi ( t ) F ( t ) ( y _ {n} ) { \frac{h ^ {\rho ( t ) } }{\rho ( t ) ! } } , $$

where the coefficients $ \psi ( t ) \in \mathbf R $, defined below, depend only on the rooted tree $ t $ and the coefficients of the formula (a2).

To define $ \psi ( t ) $, first let

$$ \phi ( \emptyset ) = ( 1 \dots 1 ) ^ {T} \in \mathbf R ^ {s} , $$

$$ \phi ( \bullet ) = A \phi ( \emptyset ) , $$

and then, for $ t = [ t _ {1} \dots t _ {m} ] $ with $ \rho ( t _ {i} ) \geq 1 $ for $ i = 1 \dots m $, define $ \phi ( t ) $ recursively by

$$ \phi ( t ) = \rho ( t ) A ( \phi ( t _ {1} ) \dots \phi ( t _ {m} ) ) , $$

where the product of $ \phi $' s in the bracket is taken component-wise. Then

$$ \psi ( \emptyset ) = 1, $$

$$ \psi ( \bullet ) = \sum _ {i = 1 } ^ { s } b _ {i} , $$

and, for $ t = [ t _ {1} \dots t _ {m} ] $ with $ \rho ( t _ {i} ) \geq 1 $ for $ i = 1 \dots m $,

$$ \psi ( t ) = \rho ( t ) b ^ {T} ( \phi ( t _ {1} ) \dots \phi ( t _ {m} ) ) , $$

where, again, the product of $ \phi $' s in the bracket is taken componentwise.

Assuming that $ y ( x ) = y _ {n} $ and that $ \psi ( t ) = 1 $ for all trees $ t $ of order $ \leq p $, it follows immediately from (a1) and (a3) that

$$ y _ {n + 1 } = y ( x + h ) + {\mathcal O} ( h ^ {p + 1 } ) . $$

The order of (a2) is the largest such $ p $.

Algebraic aspects

The Butcher series form a group, as they can be composed. This group is sometimes considered from the viewpoint of its Hopf algebra of functions.

The modern understanding of this notion uses the notion of pre-Lie algebras, for the following reasons:

- The Lie algebra of analytic vector fields on the affine space $\RR^d$ comes by anti-symmetrization from the pre-Lie product given by the usual torsion-free and flat connection.

- The free pre-Lie algebra on one generator can be described as the vector space spanned by rooted trees, under some kind of grafting.

Then, by the universal property of free pre-Lie algebras, the choice of any analytic vector field defines uniquely a morphism of pre-Lie algebras, which gives the "elementary differentials" associating a vector field to each rooted tree.

References

[a1] J.C. Butcher, "The numerical analysis of ordinary differential equations" , Wiley (1987)
[a2] E. Hairer, S.P. Nørsett, G. Wanner, "Solving ordinary differential equations I: nonstiff problems" , Springer (1987)
How to Cite This Entry:
Butcher series. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Butcher_series&oldid=52753
This article was adapted from an original article by K.R. Jackson (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098. See original article