Simple Highest Weight Module
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representation theory Representation theory is a branch of mathematics that studies abstract algebra, abstract algebraic structures by ''representing'' their element (set theory), elements as linear transformations of vector spaces, and studies Module (mathematics), ...
, a weight of an
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''A'' over a field F is an
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from ''A'' to F, or equivalently, a one-dimensional representation of ''A'' over F. It is the algebra analogue of a
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of a
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. The importance of the concept, however, stems from its application to representations of Lie algebras and hence also to representations of algebraic and
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s. In this context, a weight of a representation is a generalization of the notion of an
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, and the corresponding
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is called a weight space.


Motivation and general concept

Given a set ''S'' of n \times n
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over the same field, each of which is
diagonalizable In linear algebra, a square matrix A is called diagonalizable or non-defective if it is similar to a diagonal matrix. That is, if there exists an invertible matrix P and a diagonal matrix D such that . This is equivalent to (Such D are not ...
, and any two of which commute, it is always possible to
simultaneously diagonalize In linear algebra, a square matrix A is called diagonalizable or non-defective if it is similar to a diagonal matrix. That is, if there exists an invertible matrix P and a diagonal matrix D such that . This is equivalent to (Such D are not ...
all of the elements of ''S''.In fact, given a set of commuting matrices over an
algebraically closed field In mathematics, a field is algebraically closed if every non-constant polynomial in (the univariate polynomial ring with coefficients in ) has a root in . In other words, a field is algebraically closed if the fundamental theorem of algebra ...
, they are
simultaneously triangularizable In mathematics, a triangular matrix is a special kind of square matrix. A square matrix is called if all the entries ''above'' the main diagonal are zero. Similarly, a square matrix is called if all the entries ''below'' the main diagonal are z ...
, without needing to assume that they are diagonalizable.
Equivalently, for any set ''S'' of mutually commuting
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s of a
finite-dimensional In mathematics, the dimension of a vector space ''V'' is the cardinality (i.e., the number of vectors) of a basis of ''V'' over its base field. p. 44, §2.36 It is sometimes called Hamel dimension (after Georg Hamel) or algebraic dimension to d ...
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''V'' there exists a basis of ''V'' consisting of ''simultaneous
eigenvector In linear algebra, an eigenvector ( ) or characteristic vector is a vector that has its direction unchanged (or reversed) by a given linear transformation. More precisely, an eigenvector \mathbf v of a linear transformation T is scaled by ...
s'' of all elements of ''S''. Each of these common eigenvectors ''v'' ∈ ''V'' defines a
linear functional In mathematics, a linear form (also known as a linear functional, a one-form, or a covector) is a linear mapIn some texts the roles are reversed and vectors are defined as linear maps from covectors to scalars from a vector space to its field of ...
on the subalgebra ''U'' of End(''V'' ) generated by the set of
endomorphism In mathematics, an endomorphism is a morphism from a mathematical object to itself. An endomorphism that is also an isomorphism is an automorphism. For example, an endomorphism of a vector space is a linear map , and an endomorphism of a g ...
s ''S''; this functional is defined as the map which associates to each element of ''U'' its eigenvalue on the eigenvector ''v''. This map is also multiplicative, and sends the identity to 1; thus it is an algebra homomorphism from ''U'' to the base field. This "generalized eigenvalue" is a prototype for the notion of a weight. The notion is closely related to the idea of a
multiplicative character In mathematics, a multiplicative character (or linear character, or simply character) on a group ''G'' is a group homomorphism from ''G'' to the multiplicative group of a field , usually the field of complex numbers. If ''G'' is any group, then t ...
in
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, which is a
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''χ'' from a group ''G'' to the
multiplicative group In mathematics and group theory, the term multiplicative group refers to one of the following concepts: *the group under multiplication of the invertible elements of a field, ring, or other structure for which one of its operations is referre ...
of a field F. Thus ''χ'': ''G'' → F× satisfies ''χ''(''e'') = 1 (where ''e'' is the
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of ''G'') and :\chi(gh) = \chi(g)\chi(h) for all ''g'', ''h'' in ''G''. Indeed, if ''G'' acts on a vector space ''V'' over F, each simultaneous eigenspace for every element of ''G'', if such exists, determines a multiplicative character on ''G'': the eigenvalue on this common eigenspace of each element of the group. The notion of multiplicative character can be extended to any algebra ''A'' over F, by replacing ''χ'': ''G'' → F× by a
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''χ'': ''A'' → F with: :\chi(ab) = \chi(a)\chi(b) for all ''a'', ''b'' in ''A''. If an algebra ''A'' acts on a vector space ''V'' over F to any simultaneous eigenspace, this corresponds an algebra homomorphism from ''A'' to F assigning to each element of ''A'' its eigenvalue. If ''A'' is a
Lie algebra In mathematics, a Lie algebra (pronounced ) is a vector space \mathfrak g together with an operation called the Lie bracket, an alternating bilinear map \mathfrak g \times \mathfrak g \rightarrow \mathfrak g, that satisfies the Jacobi ident ...
(which is generally not an
associative algebra In mathematics, an associative algebra ''A'' over a commutative ring (often a field) ''K'' is a ring ''A'' together with a ring homomorphism from ''K'' into the center of ''A''. This is thus an algebraic structure with an addition, a mult ...
), then instead of requiring multiplicativity of a character, one requires that it maps any Lie bracket to the corresponding
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; but since F is
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this simply means that this map must vanish on Lie brackets: ''χ''( 'a'',''b'' = 0. A weight on a Lie algebra g over a field F is a linear map λ: g → F with λ( 'x'', ''y'' = 0 for all ''x'', ''y'' in g. Any weight on a Lie algebra g vanishes on the derived algebra ''g,gand hence descends to a weight on the abelian Lie algebra g/ ''g,g Thus weights are primarily of interest for abelian Lie algebras, where they reduce to the simple notion of a generalized eigenvalue for space of commuting linear transformations. If ''G'' is a
Lie group In mathematics, a Lie group (pronounced ) is a group (mathematics), group that is also a differentiable manifold, such that group multiplication and taking inverses are both differentiable. A manifold is a space that locally resembles Eucli ...
or an
algebraic group In mathematics, an algebraic group is an algebraic variety endowed with a group structure that is compatible with its structure as an algebraic variety. Thus the study of algebraic groups belongs both to algebraic geometry and group theory. Man ...
, then a multiplicative character θ: ''G'' → F× induces a weight ''χ'' = dθ: g → F on its Lie algebra by differentiation. (For Lie groups, this is differentiation at the identity element of ''G'', and the algebraic group case is an abstraction using the notion of a derivation.)


Weights in the representation theory of semisimple Lie algebras

Let \mathfrak g be a complex semisimple Lie algebra and \mathfrak h a
Cartan subalgebra In mathematics, a Cartan subalgebra, often abbreviated as CSA, is a nilpotent subalgebra \mathfrak of a Lie algebra \mathfrak that is self-normalising (if ,Y\in \mathfrak for all X \in \mathfrak, then Y \in \mathfrak). They were introduced by ...
of \mathfrak g. In this section, we describe the concepts needed to formulate the "theorem of the highest weight" classifying the finite-dimensional representations of \mathfrak g. Notably, we will explain the notion of a "dominant integral element." The representations themselves are described in the article linked to above.


Weight of a representation

Let \sigma : \mathfrak \to \operatorname(V) be a representation of a Lie algebra \mathfrak g on a vector space ''V'' over a field of characteristic 0, say \mathbb, and let \lambda : \mathfrak \to \mathbb be a linear functional on \mathfrak h, where \mathfrak h is a
Cartan subalgebra In mathematics, a Cartan subalgebra, often abbreviated as CSA, is a nilpotent subalgebra \mathfrak of a Lie algebra \mathfrak that is self-normalising (if ,Y\in \mathfrak for all X \in \mathfrak, then Y \in \mathfrak). They were introduced by ...
of \mathfrak g. Then the of ''V'' with weight ''λ'' is the subspace V_\lambda given by :V_\lambda:=\. A weight of the representation ''V'' (the representation is often referred to in short by the vector space ''V'' over which elements of the Lie algebra act rather than the map \sigma) is a linear functional λ such that the corresponding weight space is nonzero. Nonzero elements of the weight space are called weight vectors. That is to say, a weight vector is a simultaneous eigenvector for the action of the elements of \mathfrak h, with the corresponding eigenvalues given by λ. If ''V'' is the direct sum of its weight spaces :V=\bigoplus_ V_\lambda then ''V'' is called a '';'' this corresponds to there being a common
eigenbasis In linear algebra, an eigenvector ( ) or characteristic vector is a vector that has its direction unchanged (or reversed) by a given linear transformation. More precisely, an eigenvector \mathbf v of a linear transformation T is scaled by a c ...
(a basis of simultaneous eigenvectors) for all the represented elements of the algebra, i.e., to there being simultaneously diagonalizable matrices (see
diagonalizable matrix In linear algebra, a square matrix A is called diagonalizable or non-defective if it is matrix similarity, similar to a diagonal matrix. That is, if there exists an invertible matrix P and a diagonal matrix D such that . This is equivalent to ...
). If ''G'' is group with Lie algebra \mathfrak g, every finite-dimensional representation of ''G'' induces a representation of \mathfrak g. A weight of the representation of ''G'' is then simply a weight of the associated representation of \mathfrak g. There is a subtle distinction between weights of group representations and Lie algebra representations, which is that there is a different notion of integrality condition in the two cases; see below. (The integrality condition is more restrictive in the group case, reflecting that not every representation of the Lie algebra comes from a representation of the group.)


Action of the root vectors

For the adjoint representation \mathrm : \mathfrak\to \operatorname(\mathfrak) of \mathfrak g, the space over which the representation acts is the Lie algebra itself. Then the nonzero weights are called
roots A root is the part of a plant, generally underground, that anchors the plant body, and absorbs and stores water and nutrients. Root or roots may also refer to: Art, entertainment, and media * ''The Root'' (magazine), an online magazine focusin ...
, the weight spaces are called root spaces, and the weight vectors, which are thus elements of \mathfrak, are called root vectors. Explicitly, a linear functional \alpha on the Cartan subalgebra \mathfrak h is called a root if \alpha\neq 0 and there exists a nonzero X in \mathfrak g such that : ,X\alpha(H)X for all H in \mathfrak h. The collection of roots forms a
root system In mathematics, a root system is a configuration of vector space, vectors in a Euclidean space satisfying certain geometrical properties. The concept is fundamental in the theory of Lie groups and Lie algebras, especially the classification and ...
. From the perspective of representation theory, the significance of the roots and root vectors is the following elementary but important result: If \sigma : \mathfrak \to \operatorname(V) is a representation of \mathfrak g, ''v'' is a weight vector with weight \lambda and ''X'' is a root vector with root \alpha, then : \sigma(H)(\sigma(X)(v))= \lambda+\alpha)(H)\sigma(X)(v)) for all ''H'' in \mathfrak h. That is, \sigma(X)(v) is either the zero vector or a weight vector with weight \lambda+\alpha. Thus, the action of X maps the weight space with weight \lambda into the weight space with weight \lambda+\alpha. For example, if \mathfrak=\mathfrak_(2), or \mathfrak(2) complexified, the root vectors span the algebra and have weights 0, 1, and -1 respectively. The Cartan subalgebra is spanned by H, and the action of H classifies the weight spaces. The action of X maps a weight space of weight \lambda to the weight space of weight \lambda+1 and the action of Y maps a weight space of weight \lambda to the weight space of weight \lambda-1, and the action of H maps the weight spaces to themselves. In the fundamental representation, with weights \pm\frac and weight spaces V_, X maps V_ to zero and V_ to V_, while Y maps V_ to zero and V_ to V_, and H maps each weight space to itself.


Integral element

Let \mathfrak h^*_0 be the real subspace of \mathfrak h^* generated by the roots of \mathfrak g, where \mathfrak h^* is the space of linear functionals \lambda : \mathfrak h \to \mathbb C, the dual space to \mathfrak h. For computations, it is convenient to choose an inner product that is invariant under the Weyl group, that is, under reflections about the hyperplanes orthogonal to the roots. We may then use this inner product to identify \mathfrak h^*_0 with a subspace \mathfrak h_0 of \mathfrak h. With this identification, the coroot associated to a root \alpha is given as :H_\alpha=2\frac where (\alpha,\beta) denotes the
inner product In mathematics, an inner product space (or, rarely, a Hausdorff pre-Hilbert space) is a real vector space or a complex vector space with an operation called an inner product. The inner product of two vectors in the space is a scalar, ofte ...
of vectors \alpha,\beta. In addition to this inner product, it is common for an angle bracket notation \langle\cdot,\cdot\rangle to be used in discussions of
root system In mathematics, a root system is a configuration of vector space, vectors in a Euclidean space satisfying certain geometrical properties. The concept is fundamental in the theory of Lie groups and Lie algebras, especially the classification and ...
s, with the angle bracket defined as \langle\lambda,\alpha\rangle\equiv(\lambda,H_\alpha). The angle bracket here is not an inner product, as it is not symmetric, and is linear only in the first argument. The angle bracket notation should not be confused with the inner product (\cdot,\cdot). We now define two different notions of integrality for elements of \mathfrak h_0. The motivation for these definitions is simple: The weights of finite-dimensional representations of \mathfrak g satisfy the first integrality condition, while if ''G'' is a group with Lie algebra \mathfrak g, the weights of finite-dimensional representations of ''G'' satisfy the second integrality condition. An element \lambda\in\mathfrak h_0 is algebraically integral if :(\lambda,H_\alpha)=2\frac\in\mathbb for all roots \alpha. The motivation for this condition is that the coroot H_\alpha can be identified with the ''H'' element in a standard basis for an sl(2,\mathbb C)-subalgebra of \mathfrak g. By elementary results for sl(2,\mathbb C), the eigenvalues of H_\alpha in any finite-dimensional representation must be an integer. We conclude that, as stated above, the weight of any finite-dimensional representation of \mathfrak g is algebraically integral. The fundamental weights \omega_1,\ldots,\omega_n are defined by the property that they form a basis of \mathfrak h_0 dual to the set of coroots associated to the simple roots. That is, the fundamental weights are defined by the condition :2\frac=\delta_ where \alpha_1,\ldots\alpha_n are the simple roots. An element \lambda is then algebraically integral if and only if it is an integral combination of the fundamental weights. The set of all \mathfrak g-integral weights is a lattice in \mathfrak h_0 called the ''weight lattice'' for \mathfrak g, denoted by P(\mathfrak g). The figure shows the example of the Lie algebra sl(3,\mathbb C), whose root system is the A_2 root system. There are two simple roots, \gamma_1 and \gamma_2. The first fundamental weight, \omega_1, should be orthogonal to \gamma_2 and should project orthogonally to half of \gamma_1, and similarly for \omega_2. The weight lattice is then the triangular lattice. Suppose now that the Lie algebra \mathfrak g is the Lie algebra of a Lie group ''G''. Then we say that \lambda\in\mathfrak h_0 is analytically integral (''G-integral'') if for each ''t'' in \mathfrak h such that \exp(t)=1\in G we have (\lambda,t)\in 2\pi i \mathbb. The reason for making this definition is that if a representation of \mathfrak g arises from a representation of ''G'', then the weights of the representation will be ''G''-integral. For ''G'' semisimple, the set of all ''G''-integral weights is a sublattice ''P''(''G'') ⊂ ''P''(\mathfrak g). If ''G'' is
simply connected In topology, a topological space is called simply connected (or 1-connected, or 1-simply connected) if it is path-connected and every Path (topology), path between two points can be continuously transformed into any other such path while preserving ...
, then ''P''(''G'') = ''P''(\mathfrak g). If ''G'' is not simply connected, then the lattice ''P''(''G'') is smaller than ''P''(\mathfrak g) and their
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is isomorphic to the
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of ''G''.


Partial ordering on the space of weights

We now introduce a partial ordering on the set of weights, which will be used to formulate the theorem of the highest weight describing the representations of \mathfrak g. Recall that ''R'' is the set of roots; we now fix a set R^+ of positive roots. Consider two elements \mu and \lambda of \mathfrak h_0. We are mainly interested in the case where \mu and \lambda are integral, but this assumption is not necessary to the definition we are about to introduce. We then say that \mu is higher than \lambda, which we write as \mu\succeq\lambda, if \mu-\lambda is expressible as a linear combination of positive roots with non-negative real coefficients. This means, roughly, that "higher" means in the directions of the positive roots. We equivalently say that \lambda is "lower" than \mu, which we write as \lambda\preceq\mu. This is only a ''partial'' ordering; it can easily happen that \mu is neither higher nor lower than \lambda.


Dominant weight

An integral element \lambda is ''dominant'' if (\lambda,\gamma)\geq 0 for each positive root \gamma. Equivalently, \lambda is dominant if it is a ''non-negative'' integer combination of the fundamental weights. In the A_2 case, the dominant integral elements live in a 60-degree sector. The notion of being dominant is not the same as being higher than zero. Note the grey area in the picture on the right is a 120-degree sector, strictly containing the 60-degree sector corresponding to the dominant integral elements. The set of all λ (not necessarily integral) such that (\lambda,\gamma)\geq 0 for all positive roots \gamma is known as the ''fundamental Weyl chamber'' associated to the given set of positive roots.


Theorem of the highest weight

A weight \lambda of a representation V of \mathfrak g is called a highest weight if every other weight of V is lower than \lambda. The theory classifying the finite-dimensional irreducible representations of \mathfrak g is by means of a "theorem of the highest weight." The theorem says that :(1) every irreducible (finite-dimensional) representation has a highest weight, :(2) the highest weight is always a dominant, algebraically integral element, :(3) two irreducible representations with the same highest weight are isomorphic, and :(4) every dominant, algebraically integral element is the highest weight of an irreducible representation. The last point is the most difficult one; the representations may be constructed using Verma modules.


Highest-weight module

A representation (not necessarily finite dimensional) ''V'' of \mathfrak g is called ''highest-weight module'' if it is generated by a weight vector ''v'' ∈ ''V'' that is annihilated by the action of all
positive root In mathematics, a root system is a configuration of vectors in a Euclidean space satisfying certain geometrical properties. The concept is fundamental in the theory of Lie groups and Lie algebras, especially the classification and representation ...
spaces in \mathfrak g. Every irreducible \mathfrak g-module with a highest weight is necessarily a highest-weight module, but in the infinite-dimensional case, a highest weight module need not be irreducible. For each \lambda\in\mathfrak h^*—not necessarily dominant or integral—there exists a unique (up to isomorphism)
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highest-weight \mathfrak g-module with highest weight λ, which is denoted ''L''(λ), but this module is infinite dimensional unless λ is dominant integral. It can be shown that each highest weight module with highest weight λ is a
quotient In arithmetic, a quotient (from 'how many times', pronounced ) is a quantity produced by the division of two numbers. The quotient has widespread use throughout mathematics. It has two definitions: either the integer part of a division (in th ...
of the Verma module ''M''(λ). This is just a restatement of ''universality property'' in the definition of a Verma module. Every ''finite-dimensional'' highest weight module is irreducible.This follows from (the proof of) Proposition 6.13 in together with the general result on complete reducibility of finite-dimensional representations of semisimple Lie algebras


See also

* Classifying finite-dimensional representations of Lie algebras * Representation theory of a connected compact Lie group * Highest-weight category *
Root system In mathematics, a root system is a configuration of vector space, vectors in a Euclidean space satisfying certain geometrical properties. The concept is fundamental in the theory of Lie groups and Lie algebras, especially the classification and ...


Notes


References

* . * . * * . * * . {{refend Lie algebras Representation theory of Lie algebras Representation theory of Lie groups