Rota–Baxter algebra

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In mathematics, a Rota–Baxter algebra is an associative algebra, together with a particular linear map R which satisfies the Rota–Baxter identity. It appeared first in the work of the American mathematician Glen E. Baxter[1] in the realm of probability theory. Baxter's work was further explored from different angles by Gian-Carlo Rota,[2][3][4] Pierre Cartier,[5] and Frederic V. Atkinson,[6] among others. Baxter’s derivation of this identity that later bore his name emanated from some of the fundamental results of the famous probabilist Frank Spitzer in random walk theory.[7][8] In the 1980s, the Rota-Baxter operator of weight 0 in the context of Lie algebras was rediscovered as the operator form of the classical Yang–Baxter equation,[9] named after the well-known physicists Chen-Ning Yang and Rodney Baxter.

The study of Rota–Baxter algebras experienced a renaissance this century, beginning with several developments, in the algebraic approach to renormalization of perturbative quantum field theory,[10] dendriform algebras, associative analogue of the classical Yang–Baxter equation[11] and mixable shuffle product constructions.[12]

Definition and first properties

Let k be a commutative ring and let [math]\displaystyle{ \lambda }[/math] be given. A linear operator R on a k-algebra A is called a Rota–Baxter operator of weight [math]\displaystyle{ \lambda }[/math] if it satisfies the Rota–Baxter relation of weight [math]\displaystyle{ \lambda }[/math]:

[math]\displaystyle{ R(x)R(y)=R(R(x)y) + R(xR(y)) + \lambda R(xy) }[/math]

for all [math]\displaystyle{ x, y \in A }[/math]. Then the pair [math]\displaystyle{ (A,R) }[/math] or simply A is called a Rota–Baxter algebra of weight [math]\displaystyle{ \lambda }[/math]. In some literature, [math]\displaystyle{ \theta=-\lambda }[/math] is used in which case the above equation becomes

[math]\displaystyle{ R(x)R(y)+\theta R(xy) = R(R(x)y) + R(xR(y)), }[/math]

called the Rota-Baxter equation of weight [math]\displaystyle{ \theta }[/math]. The terms Baxter operator algebra and Baxter algebra are also used.

Let [math]\displaystyle{ R }[/math] be a Rota–Baxter of weight [math]\displaystyle{ \lambda }[/math]. Then [math]\displaystyle{ -\lambda Id - R }[/math] is also a Rota–Baxter operator of weight [math]\displaystyle{ \lambda }[/math]. Further, for [math]\displaystyle{ \mu }[/math] in k, [math]\displaystyle{ \mu R }[/math] is a Rota-Baxter operator of weight [math]\displaystyle{ \mu\lambda }[/math].

Examples

Integration by parts

Integration by parts is an example of a Rota–Baxter algebra of weight 0. Let [math]\displaystyle{ C(R) }[/math] be the algebra of continuous functions from the real line to the real line. Let [math]\displaystyle{ f(x) \in C(R) }[/math] be a continuous function. Define integration as the Rota–Baxter operator

[math]\displaystyle{ I(f)(x) = \int_0^x f(t) dt \;. }[/math]

Let G(x) = I(g)(x) and F(x) = I(f)(x). Then the formula for integration for parts can be written in terms of these variables as

[math]\displaystyle{ F(x)G(x) = \int_0^x f(t) G(t) dt + \int_0^x F(t)g(t) dt \;. }[/math]

In other words

[math]\displaystyle{ I(f)(x)I(g)(x) = I(fI(g)(t))(x) + I(I(f)(t)g)(x) \; , }[/math]

which shows that I is a Rota–Baxter algebra of weight 0.

Spitzer identity

The Spitzer identity appeared is named after the American mathematician Frank Spitzer. It is regarded as a remarkable stepping stone in the theory of sums of independent random variables in fluctuation theory of probability. It can naturally be understood in terms of Rota–Baxter operators.

Bohnenblust–Spitzer identity

Notes

  1. ↑ Baxter, G. (1960). "An analytic problem whose solution follows from a simple algebraic identity". Pacific J. Math. 10 (3): 731–742. doi:10.2140/pjm.1960.10.731. 
  2. ↑ Rota, G.-C. (1969). "Baxter algebras and combinatorial identities, I, II". Bull. Amer. Math. Soc. 75 (2): 325–329. doi:10.1090/S0002-9904-1969-12156-7. ; ibid. 75, 330–334, (1969). Reprinted in: Gian-Carlo Rota on Combinatorics: Introductory papers and commentaries, J. P. S. Kung Ed., Contemp. Mathematicians, Birkhäuser Boston, Boston, MA, 1995.
  3. ↑ G.-C. Rota, Baxter operators, an introduction, In: Gian-Carlo Rota on Combinatorics, Introductory papers and commentaries, J.P.S. Kung Ed., Contemp. Mathematicians, Birkhäuser Boston, Boston, MA, 1995.
  4. ↑ G.-C. Rota and D. Smith, Fluctuation theory and Baxter algebras, Instituto Nazionale di Alta Matematica, IX, 179–201, (1972). Reprinted in: Gian-Carlo Rota on Combinatorics: Introductory papers and commentaries, J. P. S. Kung Ed., Contemp. Mathematicians, Birkhäuser Boston, Boston, MA, 1995.
  5. ↑ Cartier, P. (1972). "On the structure of free Baxter algebras". Advances in Mathematics 9 (2): 253–265. doi:10.1016/0001-8708(72)90018-7. 
  6. ↑ Atkinson, F. V. (1963). "Some aspects of Baxter's functional equation". J. Math. Anal. Appl. 7: 1–30. doi:10.1016/0022-247X(63)90075-1. 
  7. ↑ Spitzer, F. (1956). "A combinatorial lemma and its application to probability theory". Trans. Amer. Math. Soc. 82 (2): 323–339. doi:10.1090/S0002-9947-1956-0079851-X. 
  8. ↑ Spitzer, F. (1976). Principles of random walks. Graduate Texts in Mathematics. 34 (Second ed.). New York, Heidelberg: Springer-Verlag. 
  9. ↑ Semenov-Tian-Shansky, M.A. (1983). "What is a classical r-matrix?". Func. Anal. Appl. 17 (4): 259–272. doi:10.1007/BF01076717. 
  10. ↑ Connes, A.; Kreimer, D. (2000). "Renormalization in quantum field theory and the Riemann-Hilbert problem. I. The Hopf algebra structure of graphs and the main theorem". Comm. Math. Phys. 210 (1): 249–273. doi:10.1007/s002200050779. Bibcode: 2000CMaPh.210..249C. 
  11. ↑ Aguiar, M. (2000). "Infinitesimal Hopf algebras". Contemp. Math.. Contemporary Mathematics 267: 1–29. doi:10.1090/conm/267/04262. ISBN 9780821821268. 
  12. ↑ Guo, L.; Keigher, W. (2000). "Baxter algebras and shuffle products". Advances in Mathematics 150: 117–149. doi:10.1006/aima.1999.1858. 

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