Up: Table of Contents | REC-MathML-19980407

# 4. Content Markup

- 4.1 Introduction
  - 4.1.1 The Intent of Content Markup
  - 4.1.2 The Scope of Content Markup
  - 4.1.3 Basic Concepts of Content Markup
- 4.2 Content Element Usage Guide
  - 4.2.1 Overview of Syntax and Usage
  - 4.2.2 Containers
  - 4.2.3 Functions, Operators and Qualifiers
  - 4.2.4 Relations
  - 4.2.5 Conditions
  - 4.2.6 Syntax and Semantics
  - 4.2.7 Semantic Mappings
  - 4.2.8 MathML element types
- 4.3 Content Element Attributes
  - 4.3.1 Content Element Attribute Values
  - 4.3.2 Attributes Modifying Content Markup Semantics
  - 4.3.3 Attributes Modifying Content Markup Rendering
- 4.4 The Content Markup Elements
  - 4.4.1 Token Elements
  - 4.4.2 Basic Content Elements
  - 4.4.3 Arithmetic, Algebra and Logic
  - 4.4.4 Relations
  - 4.4.5 Calculus
  - 4.4.6 Theory of Sets
  - 4.4.7 Sequences and Series
  - 4.4.8 Trigonometry
  - 4.4.9 Statistics
  - 4.4.10 Linear Algebra
  - 4.4.11 Semantic Mapping Elements

## 4.1 Introduction

### 4.1.1 The Intent of Content Markup

As has been noted in the introductory section of this report, mathematics can be distinguished by its use of a (relatively) formal language, mathematical notation. However, mathematics and its presentation should not be viewed as one and the same thing. Mathematical sums or products exist and are meaningful to many applications completely without regard to how they are rendered aurally or visually. The intent of the content markup in Mathematical Markup Language is to provide an explicit encoding of the underlying mathematical structure of an expression, rather than any particular rendering for the expression.

There are many reasons for providing a specific encoding for content. Even a disciplined and systematic use of presentation tags cannot properly capture this semantic information. This is because without additional information it is impossible to decide if a particular presentation was chosen deliberately to encode the mathematical structure or simply to achieve a particular visual or aural effect. Furthermore, an author using the same encoding to deal with both the presentation and mathematical structure might find a particular presentation encoding unavailable simply because convention had reserved it for a different semantic meaning.

The difficulties stem from the fact that there are many to one mappings from presentation to semantics and vice versa. For example the mathematical construct "H multiplied by e" is often encoded using an explicit operator as in H * e. In different presentational contexts, the multiplication operator might be invisible "H e" , or rendered as the spoken word "times". Generally, many different presentations are possible depending on the context and style preferences of the author or reader. Thus, given "H e" out of context it may be impossible to decide if this is the name of a chemical or a mathematical product of two variables H and e.

Mathematical presentation also changes with culture and time: some expressions in combinatorial mathematics today have one meaning to an English mathematician, and quite another to a French mathematician. Notations may lose currency, for example the use of musical sharp and flat symbols to denote maxima and minima. [Chaudry 1954] A notation in use in 1644 for the multiplication mentioned above was .[Cajori, 1928/1929]

When we encode the underlying mathematical structure explicitly, without regard to how it is presented aurally or visually, we are able to interchange information more precisely with those systems which are able to manipulate the mathematics. In the trivial example above, such a system could substitute values for the variables H and e and evaluate the result. Further interesting application areas include interactive textbooks and other teaching aids.

### 4.1.2 The Scope of Content Markup

The semantics of general mathematical notation is not a matter of consensus. It would be an enormous job to systematically codify most of mathematics - a task which can never be complete. Instead, MathML makes explicit a relatively small number of commonplace mathematical constructs, chosen carefully to be sufficient in a large number of applications. In addition, it provides a mechanism for associating semantics with new notational constructs. In this way, mathematical concepts that are not in the base collection of tags can still be encoded (see section 4.2.6).

The base set of content elements are chosen to be adequate for simple coding of most of the formulas used from kindergarten to the end of high school in the United States, and probably beyond through the first two years of college, that is up to A-Level or Baccalaureate level in Europe. Subject areas covered to some extent in MathML are:

- Arithmetic, Algebra, Logic and Relations
- Calculus
- Set Theory
- Sequences and Series
- Trigonometry
- Statistics
- Linear Algebra

It is not claimed, or even suggested, that the proposed element set is complete for these areas, but the provision for author extensibility greatly alleviates any problem which omissions from this finite list might cause.

### 4.1.3 Basic Concepts of Content Markup

The design of the MathML content elements are driven by the following principles:

- The expression tree structure of a mathematical expression should be directly encoded by the MathML content elements.
- The encoding of an expression tree should be explicit, and not dependent on the special parsing of CDATA or on additional processing such as operator precedence parsing.
- The basic set of mathematical content constructs that are provided should have default mathematical semantics.
- There should be a mechanism for associating specific mathematical semantics with the constructs.

The primary goal of the content encoding is to establish explicit connections between mathematical structures and their mathematical meanings. The content elements correspond directly to parts of the underlying mathematical expression tree. Each structure has an associated default semantics and there is a mechanism for associating new mathematical definitions with new constructs.

Significant advantages to the introduction of content specific tags include:

- Presentation element usage is less constrained. When mathematical semantics are inferred from presentation markup, processing agents must either be quite sophisticated, or they run the risk of inferring incomplete or incorrect semantics when irregular constructions are used to achieve a particular aural or visual effect.
- It is immediately clear which kind of information is being encoded simply by the kind tags which are used.
- Combinations of semantic and presentation tags can be used to convey both the appearance and its mathematical meaning much more effectively than simply trying to infer one from the other.

Expressions described in terms of content elements must still be rendered. For common expressions, default visual presentations are usually clear. "Take care of the sense and the sounds will take care of themselves" wrote Lewis Carroll [Carroll 1871]. Default presentations are included in the detailed description of each element occurring in section 4.4.

To accomplish these goals, the MathML content encoding is based on the concept of an expression tree. A content expression tree is constructed from a collection of more primitive objects, referred to herein as containers and operators. MathML possesses a rich set of predefined container and operator objects, as well as constructs for combining containers and operators in mathematically meaningful ways. The syntax and usage of these content elements and constructions is described in the next section.

## 4.2 Content Element Usage Guide

Since the intent of MathML content markup is to encode mathematical expressions in such a way that the mathematical structure of the expression is clear, the syntax and usage of content markup must be consistent enough to facilitate automated semantic interpretation. There must be no doubt when, for example, an actual sum, product or function application is intended and if specific numbers are present there must be enough information present to reconstruct the correct number for purposes of computation. Of course, it is still up to a MathML-compliant processor to decide what is to be done with such a content based expression, and computation is only one of many options. A renderer or a structured editor might simply use the data and its own built-in knowledge of mathematical structure to render the object. Alternatively, it might manipulate the object to build a new mathematical object. A more computationally oriented system might attempt carry out the indicated operation or function evaluation.

The purpose of this section is to describe the intended, consistent usage. The requirements involve more than just satisfying the syntactic structure specified by an XML DTD. Failure to conform to the usage as described below will result in a MathML error, even though the expression may be syntactically valid according to the DTD.

In addition to the usage information contained in this section, section 4.4 gives a complete listing of each content element, providing reference information about about their attributes, syntax, examples and suggested default semantics and renderings. An informal EBNF grammar describing the syntax for the content markup is given in appendix E.

### 4.2.1 Overview of Syntax and Usage

MathML content encoding is based on the concept of an expression tree. As a general rule, the terminal nodes in the tree represent basic mathematical objects, such as numbers, variables, arithmetic operations and so on. The internal nodes in the tree generally represent some kind of function application or other mathematical construction that builds up a compound object. Function application provides the most important example; an internal node might represent the application of a function to several arguments, which are themselves represented by the terminal nodes underneath the internal node.

The MathML content elements can be grouped into the following categories based on their usage:

- Containers
- Operators
- Qualifiers
- Relations
- Conditions
- Semantic

These are the building blocks out of which MathML content expressions are constructed. Each category is discussed in a separate section below. In the remainder of this section, we will briefly introduce some of the most common elements of each type, and consider the general constructions for combining them in mathematically meaningful ways.

#### 4.2.1.1 Constructing Mathematical Objects

Content expression trees are built up from basic mathematical objects. At the lowest level, "leaf nodes," are encapsulated in non-empty elements that define their type. Numbers and symbols are marked by the token elements cn and ci. More elaborate constructs such as sets, vectors and matrices are also marked using elements to denote their types, but rather than containing data directly, these container elements are constructed out of other elements. Elements are used in order to clearly identify the underlying objects. In this way, standard XML parsing can be used and attributes can be used to specify global properties of the objects.

The containers such as <cn>12345</cn> and <ci>x</ci>, represent mathematical numbers and variables. Below, we will look at operator elements such as <plus/> or <sin/>, which provide access to the basic mathematical operations and functions applicable to those objects. Additional containers such as <set>...</set> for sets, and <matrix>...</matrix> for matrices are provided for representing a variety of common compound objects.

For example, the number 12345 is encoded as

> <cn>12345</cn>

The attributes and CDATA content together provide the data necessary for an application to parse the number. For example, a default base of 10 is assumed, but to communicate that the underlying data was actually written in base 8, simply set the "base" attribute to 8 as in

> <cn base="8">12345</cn>

while complex number 3 + 4 i can be indicated as

> <cn type="complex">3<sep/>4</cn>

Such information makes it possible for another application to easily parse this into the correct number.

As another example, the scalar symbol v is encoded as

> <ci>v</ci>

By default ci elements represent elements from a commutative field (see Appendix F.) If a vector is intended then this fact can be encoded as

> <ci type="vector">v</ci>

This invokes default semantics associated with the vector element, namely an arbitrary element of a finite dimensional vector space.

By using the ci element we have made clear that we are referring to a mathematical symbol but this does not say much about how it is rendered. By default a symbol is rendered as if the ci element were actually the presentation element mi (see section 3.2.2). The actual rendering of a mathematical symbol can be made as elaborate as necessary simply by using the more elaborate presentational constructs (as described in chapter 3) in the body of the ci element.

The default rendering of a simple cn-tagged object is the same as for the presentation element mn with some provision for overriding the presentation of the CDATA by providing explicit mn tags. This is described in detail in section 4.4 .

The issues for compound objects such as sets, vectors and matrices are all similar to those outlined above for numbers and symbols. Each such object has global properties as a mathematical object that impact how they are to be parsed. This may affect everything from the interpretation of operations that are applied to them through to how to render the symbols representing them. These mathematical properties are captured by setting attribute values.

#### 4.2.1.2 Constructing General Expressions

The notion of constructing a general expression tree is essentially that of applying an operator to sub-objects. For example, the sum a + b can be thought of as an application of the addition operator to two arguments a and b. In MathML, elements are used for operators for much the same reason that elements are used to contain objects. They are recognized at the XML parse level and their attributes can be used to record or modify the intended semantics. For example, with the MathML plus element, setting the type attribute to vector as in <plus type="vector"/> can communicate that the intended operation is vector based.

There is also another reason for using elements to denote operators. There is a crucial semantic distinction between the function itself and the expression resulting from applying that function to zero or more arguments which must be captured. This is addressed by making the functions self-contained objects with their own properties and providing an explicit apply construct corresponding to function application. We will consider the apply construct in the next section.

MathML contains many pre-defined operator elements, covering a range of mathematical subjects. However, an important class of expressions involve unknown or user-defined functions. For these situations, MathML provide a general fn element, which is discussed below.

#### 4.2.1.3 The apply construct

The most fundamental way of building up a mathematical expression in MathML content markup is the apply construct. An apply element typically applies an operator to its arguments. It corresponds to a complete mathematical expression. Roughly speaking, this means a piece of mathematics which could be surrounded by parentheses or "logical brackets" without changing its meaning.

For example, (x + y) might be encoded as

> `<apply><plus/> <ci> x </ci> <ci> y </ci> </apply>`

The opening and closing tags of apply specify exactly the scope of any operator or function. The most typical way of using apply is simple and recursive. Symbolically, the content model can the described as:

> `<apply> op a b </apply>`

where the operands a and b are containers or other content-based elements themselves, and op is an operator or function. Note that since apply is a container, this allows apply constructs to be nested to arbitrary depth.

An apply may in principle have any number of operands:

> `<apply> op a b [c...] </apply>`

For example, (x + y + z) can be encoded as

>     <apply><plus/>
>       <ci> a </ci>
>       <ci> b </ci>
>       <ci> c </ci>
>     </apply>

Mathematical expressions involving a mixture of operations result in nested occurrences of apply. For example, a x + b would be encoded as

>     <apply><plus/>
>       <apply><times/>
>         <ci> a </ci>
>         <ci> x </ci>
>       </apply>
>       <ci> b </ci>
>     </apply>

There is no need to introduce parentheses or to resort to operator precedence in order to parse the expression correctly. The apply tags provide the proper grouping for the re-use of the expressions within other constructs. Any expression enclosed by an apply element is viewed as a single coherent object.

An expression such as (F + G)(x) might be a product, as in

>     <apply><times/>
>       <apply><plus/>
>         <ci> F </ci>
>         <ci> G </ci>
>       </apply>
>       <ci> x </ci>
>     </apply>

or it might indicate the application of the function F + G to the argument x. This is indicated by constructing the sum

> `<apply><plus/> <ci> F </ci> <ci> G </ci> </apply>`

and applying it to the argument<ci> x </ci> as in

>     <apply>
>       <apply><plus/>
>         <ci> F </ci>
>         <ci> G </ci>
>         </apply>
>       <ci> x </ci>
>     </apply>

Both the function and the arguments may be simple identifiers or more complicated expressions.

Another construction closely related to the use of the apply with operators and arguments involves the reln element. The reln element is used to denote that a mathematical relation holds between its arguments, as opposed to applying an operator. Thus, the MathML markup for the expression x < y is given by:

>     <reln>
>       <lt/>
>       <ci> x </ci>
>       <ci> y </ci>
>     </reln>

#### 4.2.1.4 Explicitly defined functions and the fn construct

The most common operations and functions such as <plus/> and <sin/> have been predefined explicitly as empty elements (see section section 4.4). They have type and definitionURL attributes, and by changing these attributes, the author can record that a different sort of algebraic operation is intended. This allows essentially the same notation to be re-used for a discussion taking place in a different algebraic domain.

Due to the nature of mathematics the notation must be extensible. The key to extensibility is the ability of the user to define new functions.

It is always possible to apply arbitrary expressions as if they were functions and to infer their functional properties directly from that usage as was done in the previous section. However such an approach would preclude being able to encode the fact that the construct was a function or to record its mathematical properties except by actually using it. The fn element is used as a container to construct an actual function object in much the same way that ci is used to construct a symbol.

To record the fact that F+G is being used semantically as if it were a function, encode it as:

>     <fn>
>       <apply><plus/>
>         <ci>F</ci>
>         <ci>G</ci>
>       </apply>
>     </fn>

Its intended semantic role (as a function) has now been indicated. Furthermore, the definitionURL attribute of the fn can now be used to point to a written definition of such a function as in

>     <fn definitionURL="http://www.defs.org/function_spaces.html#my_def">
>       <apply><plus/>
>         <ci>F</ci>
>         <ci>G</ci>
>       </apply>
>     </fn>

This would be important information to any application wanting to evaluate or simplify such an expression according to systematic rules provided by an algebra of functions.

To indicate that a matrix is being used as an operator encode it as

>     <fn>
>       <matrix>
>         <matrixrow>
>           <ci> a </ci>
>           <ci> b </ci>
>         </matrixrow>
>         <matrixrow>
>           <ci> c </ci>
>           <ci> d </ci>
>         </matrixrow>
>       </matrix>
>     </fn>

A common usage of fn is to describe a completely new function. The definitionURL attribute can then be used to refer explicitly to the mathematical definition. An example of such a construct is:

> <fn definitionURL="mydefs.html#NewG"> <ci>NewG</ci> </fn>

The definitionURL attribute specifies a URL which provides a written definition for the NewG. Suggested default definitions for pre-defined MathML content elements appear in Appendix F in a format based on OpenMath, although there is no requirement that a particular format be used. The role of the definitionURL attribute is very similar to the role of definitions included at the beginning many mathematical papers, and which often just refer to a definition used by a particular book.

#### 4.2.1.5 The inverse construct

Given functions, it is natural to have functional inverses. This is handled by the inverse element.

Functional inverses can be problematic from a mathematical point of view in that it implicitly involves the definition of an inverse for an arbitrary function F. Even at the K through 12 level the concept of an inverse F-1 of many common functions F is not used in a uniform way. For example, the definitions used for the inverse trigonometric functions may differ slightly depending on the choice of domain and/or branch cuts.

MathML adopts the view:

> If F is a function from a domain D to D', then the inverse G of F is a function over D' such that G(F(x)) = x for x in D.

This definition does not assert that such an inverse exists for all or indeed any x in D, or that it is single-valued anywhere. Also, depending on the functions involved, additional properties such as F(G(y)) = y for y in D' may hold.

The inverse element is applied to a function whenever an inverse is required. For example, application of the inverse sine function to x (i.e., sin (-1) (x) is encoded as:

>     <apply>
>        <apply><inverse/>
>           <sin/>
>        </apply>
>        <ci> x </ci>
>     </apply>

While arcsin is one of the predefined MathML functions, and explicit reference to sin (-1) (x) might occur in a document discussing possible definitions of arcsin.

#### 4.2.1.6 The declare construct

Consider a document discussing the vectors A = (a,b,c) and B = (d,e,f) and later including the expression V = A + B. It is important to be able communicate the fact that wherever A and B are used they represent a particular vector. The properties of that vector may determine aspects of operators such as plus.

The simple fact that A is a vector can be communicated by using the tagging

> <ci type=vector>A</ci>

but this still does not communicate, for example, which vector is involved or its dimensions.

The declare construct is used to associate specific properties or meanings with an object. The actual declaration itself is not rendered visually (or in any other form). However, it indirectly impacts the semantics of all affected uses of the declared object.

The scope of a declaration is, by default, local to the MathML element in which the declaration is made. If the scope attribute of the declare element is set to "global", the declaration applies to the entire MathML expression in which it appears.

The uses of the declare element range from resetting default attribute values to associating an expression with a particular instance of of a more elaborate structure. Subsequent uses of the original expression (within the scope of the declare) play the same semantic role as would the paired object.

For example, the declaration

>     <declare>
>       <ci> A </ci>
>       <vector>
>         <ci> a </ci>
>         <ci> b </ci>
>         <ci> c </ci>
>       </vector>
>     </declare>

specifies that A stands for the particular vector (a,b,c) so that subsequent uses of A as in V = A + B can take this into account. When declare is used in this way, the actual encoding

>     <apply><eq/>
>       <ci> V </ci>
>       <apply><plus/>
>         <ci> A </ci>
>         <ci> B </ci>
>       </apply>
>     </apply>

remains unchanged but the expression can be interpreted properly as vector addition.

There is no requirement to declare an expression to stand for a specific object. For example, the declaration

>     <declare type="vector">
>       <ci> A </ci>
>     </declare>

specifies that A is a vector without indicating the number of components or the values of specific components. The possible values for the type attribute include all the predefined container element names such as vector, matrix or set. (See 4.3.2.9 type.)

#### 4.2.1.7 The lambda construct

The lambda calculus allows a user to construct a function from a variable and an expression. For example, the lambda construct underlies the common mathematical idiom illustrated here:

> Let f be the function taking x to x2 + 2

There are various notations for this concept in mathematical literature, such as lambda(x, F(x) ) = F or lambda(x, [F] ) = F, where x is a free variable in F.

This concept is implemented in MathML with the lambda element. A lambda construct with n internal variables is encoded by a lambda element with n + 1 children. All but the last child must be bvar elements containing the identifiers of the internal variables. The last is an expression defining the function. This is typically an apply, but can also be any container element.

The following constructs lambda(x, sin (x+1)):

>     <lambda>
>       <bvar><ci> x </ci></bvar>
>       <apply> <sin/>
>         <apply><plus/>
>           <ci> x </ci>
>           <cn> 1 </cn>
>         </apply>
>       </apply>
>     </lambda>

To use declare and lambda to construct the function f for which f(x) = x2 + x + 3 use:

>     <declare type="fn">
>       <ci> f </ci>
>       <lambda>
>         <bvar><ci> x </ci><bvar>
>         <apply><plus/>
>           <apply><power/>
>             <ci> x </ci>
>             <cn> 2 </cn>
>           </apply>
>           <ci> x </ci>
>           <cn> 3 </cn>
>         </apply>
>       </lambda>
>     </declare>

The following markup declares and constructs the function J such that J(x,y) = the integral from x to y of t4 with respect to t.

>     <declare type="fn">
>       <ci> J </ci>
>       <lambda>
>         <bvar><ci> x </ci></bvar>
>         <bvar><ci> y </ci></bvar>
>         <apply> <int/>
>           <bvar>
>             <ci> t </ci>
>           </bvar>
>           <lowlimit>
>             <ci> x </ci>
>           </lowlimit>
>           <uplimit>
>             <ci> y </ci>
>           </uplimit>
>           <apply> <power/>
>             <ci>t</ci>
>             <cn>4</cn>
>           </apply>
>         </apply>
>       </lambda>
>     </declare>

The function J can then in turn be applied to an argument pair.

#### 4.2.1.8 The use of qualifier elements and the condition construct

The last example of the preceding section illustrates the use of qualifier elements lowlimit, uplimit, and bvar used in conjunction with the int element. A number of common mathematical constructions involve additional data which is either implicit in conventional notation, such as a bound variable, or thought of as part of the operator rather than an argument, as is the case with the limits of a definite integral.

Content markup uses qualifier elements in conjunction with a number of operators, including integrals, sums, series, and certain differential operators. Qualifier elements appear in the same apply element with one of these operators. In general, they must appear in a certain order, and their precise meaning depends on the operators being used. For details, see section 4.2.3.4.

The bvar qualifier element is also used in another important MathML construction. The condition element is used to place conditions on bound variables in other expressions. This allows MathML to define sets by rule, rather than enumeration, for example. The following markup, for instance, encodes the set {x | x < 1}:

>     <set>
>       <bvar><ci> x </ci></bvar>
>       <condition>
>         <reln><lt/>
>           <ci> x </ci>
>           <cn> 1 </cn>
>         </reln>
>       </condition>
>     </set>

#### 4.2.1.9 Rendering of Content elements

While the primary role of the MathML content element set is to directly encode the mathematical structure of expressions independent of the notation used to present the objects, rendering issues cannot be ignored. Each content element has a default rendering, given in section 4.4. and several mechanisms (including style attributes, declarations and semantics elements) are provided for associating a particular rendering with an object.

### 4.2.2 Containers

Containers provide a means for the construction of mathematical objects of a given type.

Tokens | ci, cn
Constructors | interval, list, matrix, matrixrow, set, vector, apply, reln, lambda, fn
Specials | declare

#### 4.2.2.1 Tokens

Token elements are typically the leaves of the MathML expression tree. Token elements are used to indicate numbers and symbols.

It is also possible for the canonically empty operator elements such as <exp/>, <sin/> and <cos/> to be leaves in an expression tree. The usage of of operator elements is described in Section 4.2.3.

cn
  The cn element is the MathML token element used to represent numbers. The supported types of numbers include: real,integer,rational,complex-cartesian, and complex-polar, with real being the default type. A base attribute (defaulting to base 10) is used to help specify how the content is to be parsed. The content itself is essentially PCDATA, separated by <sep/> when two parts are needed in order to fully describe a number. For example, the real number 3 is constructed by <cn type="real"> 3 </cn> while the rational number 3/4 is constructed as <cn type="rational"> 3 <sep/> 4 </cn> The detailed structure and specifications are provided in section 4.4.1.1.
ci
  The ci element, or "content identifier" is used to construct a variables, or symbols. A type attribute indicates the type of object the symbol represents. Typically, they represent real scalars, but no default is specified. Their content is either CDATA or a general presentation construct . For example,

  >      <ci>
  >      <msub>
  >        <mi>c</mi>
  >        <mn>1</mn>
  >      </msub>
  >      </ci>

  encodes an atomic symbol which displays visually as c1 which, for purposes of content, is treated as a single symbol representing a real number. The detailed structure and specifications is provided in section 4.4.1.2.

#### 4.2.2.2 Constructors

MathML provides a number of elements for combining elements into familiar compound objects. The compound objects include things like lists, sets. Each constructor produces a new type of object.

interval

  The interval element is described in detail in section 4.4.2.4. It denotes an interval on the real line with the values represented by its children as end points. The closure attribute is used to qualify the type of interval being represented. For example,

  >     <interval closure="open-closed">
  >       <ci> a </ci>
  >       <ci> b </ci>
  >     </interval>

  represents the open-closed interval often written (a,b].

set and list

  The list and set elements are described in detail in sections 4.4.6.1 and 4.4.6.2.

  Typically, the child elements of a possibly empty list element are the actual components of an ordered list. For example an ordered list of the three symbols a, b, and c is encoded as

  > <list> <ci> a </ci> <ci> b </ci> <ci> c </ci> </list>

  Alternatively, bvar and condition elements can be used to define lists where membership depends on satisfying certain conditions.

  An order attribute which is used to specify what ordering is to be used. When the nature of the child elements permits, the ordering defaults to a numeric or lexicographic ordering.

  Sets are structured much the same as lists except that there is no implied ordering and the type of set may be "normal" or "multiset" with "multiset" indicating that repetitions are allowed.

  For both sets and lists, the child elements must be valid MathML content elements. The type of the child elements is not restricted. For example, one might construct a list of equations, or inequalities.

matrix and matrixrow

  The matrix element is used to represent mathematical matrices. It is described in detail in section 4.4.10.2. It has zero or more child elements, all of which are matrixrow elements. These in turn expect zero or more child elements which evaluate to algebraic expressions or numbers. These sub-elements are often real numbers, or symbols as in

  >     <matrix>
  >       <matrixrow> <cn> 1 </cn> <cn> 2 </cn> </matrixrow>
  >       <matrixrow> <cn> 3 </cn> <cn> 4 </cn> </matrixrow>
  >     </matrix>

  The matrixrow elements must always be contained inside of a matrix and all matrixrows in a given matrix must have the same number of elements.

  Note that the behavior of the matrix and matrixrow elements is substantially different from the mtable and mtr presentation elements.

vector

  The vector element is described in detail in section 4.4.10.1. It constructs vectors from a n-dimensional vector space so that its n child elements typically represent real or complex valued scalars as in the three-element vector

  >     <vector>
  >       <apply><plus/>
  >         <ci> x </ci>
  >         <ci> y </ci>
  >       </apply>
  >       <cn> 3 </cn>
  >       <cn> 7 </cn>
  >     </vector>

apply

  The apply element is described in detail in section 4.4.2.1. Its purpose is apply a function or operator to its arguments to produce an an expression representing an element of the range of the function. It is involved in everything from forming sums such as a + b as in

  >     <apply><plus/>
  >       <ci> a </ci>
  >       <ci> b </ci>
  >     </apply>

  through to using the sine function to construct sin(a) as in

  >     <apply><sin/>
  >       <ci> a </ci>
  >     </apply>

  or constructing integrals. Its usage in any particular setting is determined largely by the properties of the function (the first child element) and as such its detailed usage is covered together with the functions and operators in section 4.2.3 Functions, Operators and Qualifiers.

reln

  The reln element is described in detail in section 4.4.2.2. It is used to construct an expression such as a = b, as in

  >     <reln><eq/>
  >       <ci> a </ci>
  >       <ci> b </ci>
  >     </reln>

  indicating an intended comparison between two mathematical values.

  Such expressions could in principle be regarded as applications of a boolean function, and as such could be constructed using apply. They have treated as a special class of expressions in order to better reflect traditional usage.

  The actual structure of expressions constructed using reln is similar to that for the apply element. The use of reln is described in 4.2.4 Relations.

fn

  The fn element is used to identify an expression as a defined function or operator. It is discussed in detail in section 4.4.2.3. The use of fn is also described in 4.2.3.3. It differs from the lambda element in that it does not make any attempt to describe how to map the arguments occurring in any application of the function into a new MathML expression. Instead, it depends on its definitionURL attribute to point to a particular meaning.

lambda

  The lambda element is used to construct an user-defined function from a an expression and one or more free variables. The lambda construct with n internal variables takes n + 1 children. The first (second, up to n) is a bvar containing the identifiers of the internal variables. The last is an expression defining the function. This is typically an apply, but can also be any container element. The following constructs lambda(x, sin x)

  >     <lambda>
  >       <bvar><ci> x </ci></bvar>
  >       <apply>
  >         <sin/>
  >         <ci> x </ci>
  >       </apply>
  >     </lambda>

  The following constructs the constant function lambda(x, 3)

  >     <lambda>
  >       <bvar><ci> x </ci><bvar>
  >       <cn> 3 </cn>
  >     </lambda>

#### 4.2.2.3 Special Constructs

The declare construct is described in detail in section 4.4.2.8. It is special in that its entire purpose is to modify the semantics of other objects. It is not rendered visually or aurally.

The need for declarations arises any time a symbol (including more general presentations) is being used to represent an instance of an object of a particular type. For example, you may wish to declare that the symbolic identifier V represents a vector.

The declaration <declare type="vector"><ci>V</ci></declare> resets the default type attribute of <ci>V</ci> to vector for all affected occurrences of <ci>V</ci>. This avoids having to write <ci type="vector">V</ci> every time you use the symbol.

More generally, declare can be used to associate expressions with specific content. For example, the declaration

>     <declare>
>       <ci>F</ci>
>       <lambda>
>         <bvar><ci> U </ci></bvar>
>         <apply><int/>
>           <bvar><ci> x </ci><bvar>
>           <lowlimit><cn> 0 </cn><lowlimit>
>           <uplimit><ci> a </ci><uplimit>
>           <ci> U </ci>
>         </apply>
>       </lambda>
>     </declare>

associates the symbol F with a new function defined by the lambda construct. Within the scope where the declaration is in effect, the expression

>     <apply><ci>F</ci>
>       <ci> U </ci>
>     </apply>

stands for the integral of U from 0 to a.

The declare element can also be used to change the definition of a function or operator. For example, if the URL "HTTP://.../MATHML:NONCOMMUTPLUS" described a non-commutative plus operation then the declaration

>     <declare definitionURL="HTTP://.../MATHML:NONCOMMUTPLUS">
>     <plus/>
>     </declare>

would indicate that all affected uses of plus are to be interpreted as having that definition of plus.

### 4.2.3 Functions, Operators and Qualifiers

#### Table of Operators

unary arithmetic | exp, factorial, abs, conjugate
unary logical | not
unary functional | inverse , ident
unary trigonometric | sin, cos, tan, sec, csc, cot, sinh, cosh, tanh, sech, csch, coth, arcsin, arccos, arctan
unary linear algebra | determinant, transpose
unary calculus | ln, log
binary arithmetic | quotient, divide, minus, power, rem
binary logical | implies
binary set operators | setdiff
n-ary arithmetic | plus, times, max, min, gcd
n-ary statistical | mean, sdev, var, median, mode
n-ary logical | and, or, xor
n-ary linear algebra | select
n-ary set operator | union, intersect
n-ary functional | fn, compose
integral, sum, product operator | int, sum, product
differential operator | diff, partialdiff
quantifier | forall, exists

From the point of view of usage, MathML regards functions (eg. sin, cos) and operators (eg. plus, times) in the same way. MathML predefined functions and operators are all canonically empty elements

Note: The fn element can be used to construct a user-defined function or operator. fn is discussed in more detail below.

#### 4.2.3.2 MathML predefined functions and operators

MathML functions can be used in two ways. They can be used as the operator within an apply element, in which case they refer to a function evaluated at a specific value. For example,

>     <apply><sin/><cn>5</cn></apply>

denotes a real number, namely sin(5).

MathML functions can also be used as arguments to other operators, for example

>     <apply><plus/><sin/><cos/></apply>

denotes a function, namely the result of adding the sine and cosine functions in some function space. (The default semantic definition of plus is such that it infers what kind of operation is intended from the type of its arguments.)

The number of child elements in the apply is defined by the element in the first (ie. operator) position.

Unary operators are followed by exactly one other child element within the apply.

Binary operators are followed by exactly two child elements.

N-ary operators are followed by zero or more child elements.

The one exception to these rules is that declare elements may be inserted in any position except the first. declare elements are not counted when satisfying the child element count for an apply containing a unary or binary operator element.

Integral, sum, product and differential operators are discussed below in section 4.2.3.4 Operators taking Qualifiers.

#### 4.2.3.3 The fn element

In MathML, only functions and operators can be applied to arguments. In order to provide a way of applying functions constructed out of other functions, or functions other than the functions provided by the content elements, MathML provides the fn element. The fn element accepts any valid MathML expression as content, and allows it to be used as a content function. It is an error for the fn element to have no content.

One typical way of using the fn element is with author-named functions, such as f(5), encoded as:

>     <apply>
>       <fn><ci>f</ci></fn>
>       <cn> 5 </cn>
>     </apply>

Another common use is to designate the result of combining several functions as a function again: (sin + cos)(z):

>     <apply>
>       <fn>
>         <apply>
>           <plus/>
>           <sin/>
>           <cos/>
>         </apply>
>       </fn>
>       <ci>z</ci>
>     </apply>

#### 4.2.3.4 Operators taking Qualifiers

#### Table of Qualifiers and Operators taking Qualifiers

qualifiers | lowlimit, uplimit, bvar, degree, logbase, interval, condition
operators | int, sum, product, diff, partialdiff, limit, log, moment

Operators taking qualifiers are canonically empty functions which differ from ordinary empty functions only in that they support the use of special "qualifier" elements to specify their meaning more fully. They are used in exactly the same way as ordinary operators, except that when they are used as operators, certain qualifier elements are also permitted to be in the enclosing apply. Qualifier schemata are always optional. They always precede the argument if it is present. If more than one qualifier is present, they appear in the order bvar lowlimit uplimit interval condition degree logbase. A typical example is:

>     <apply>
>       <int/>
>       <bvar><ci>x</ci></bvar>
>       <lowlimit><cn>0</cn></lowlimit>
>       <uplimit><cn>1</cn></uplimit>
>       <apply>
>         <power/>
>         <ci>x</ci>
>         <cn>2</cn>
>       <apply>
>     </apply>

It is also valid to use qualifier schema with a function not applied to an argument. For example, a function acting on integrable functions on the interval [0,1] might be denoted:

>     <fn>
>       <apply>
>         <int/>
>         <bvar><ci>x</ci></bvar>
>         <lowlimit><cn>0</cn></lowlimit>
>         <uplimit><cn>1</cn></uplimit>
>       </apply>
>     </fn>

The meaning and usage of qualifier schema varies from function to function. The following list summarizes the usage of qualifier schema with the MathML functions taking qualifiers. xxx

int

  The int function accepts the lowlimit, uplimit, bvar, interval and condition schema. If both lowlimit and uplimit schema are present, they denote the limits of a definite integral.The domain of integartion may alternatively be specified using interval or condition The bvar schema signifies the variable of integration. When used with int, each qualifier schema is expected to contain a single child schema; otherwise an error is generated.

diff

  The diff function accepts the bvar schema. The bvar schema specifies with respect to which variable the derivative is being taken. The bvar may itself contain a degree schema which is used to specify the order of the derivative, i.e. a first derivative, a second derivative, etc. For example, the second derivative of f with respect to x is:

  >     <apply><diff/>
  >       <bvar>
  >         <ci> x </ci>
  >         <degree>
  >           <cn> 2 </cn>
  >         <degree>
  >       </bvar>
  >       <apply><fn>f</fn>
  >         <ci> x </ci>
  >       </apply>
  >     </apply>

partialdiff

  The partialdiff function accepts zero or more bvar schema. The bvar schema specify with respect to which variables the derivative is being taken. The bvar elements may themselves contain degree schema which are used to specify the order of the derivative. Variables specified by multiple bvar elements will be used in order as the variable of differentiation in mixed partials. When used with partialdiff, the degree schema is expected to contain a single child schema. For example,

  >     <apply>
  >       <partialdiff/>
  >       <bvar><ci>x</ci></bvar>
  >       <bvar><ci>y</ci></bvar>
  >       <fn><ci>f</ci></fn>
  >     </apply>

  denote the mixed partial (d2 / dx dy) f.

sum, product

  The sum and product functions accept the bvar, lowlimit, uplimit, interval and condition schema. If both lowlimit and uplimit schema are present, they denote the limits of the sum/product. The limits may alternatively be specified using the interval or condition schema. The bvar schema signifies the index variable in the sum or product. A typical example might be:

  >     <apply>
  >       <sum/>
  >       <bvar><ci>i</ci></bvar>
  >       <lowlimit><cn>0</cn></lowlimit>
  >       <uplimit><cn>100</cn></uplimit>
  >       <apply>
  >         <power/>
  >         <ci>x</ci>
  >         <ci>i</ci>
  >       </apply>
  >     </apply>

  When used with sum or product, each qualifier schema is expected to contain a single child schema; otherwise an error is generated.

limit

  The limit function accepts zero or more bvar schema and optional condition and lowlimit schema. A condition may be used to place constraints on the bvar. The bvar schema denotes the variable with respect to which the limit is being taken. The lowlimit schema denotes the limit point. When used with limit, the bvar and lowlimit schemata are expected to contain a single child schema; otherwise an error is generated.

log

  The log function accepts only the logbase schema. If present, the logbase schema denotes the base with respect to which the logarithm is being taken. Otherwise, the log is assumed to be base 10. When used with log, the logbase schema is expected to contain a single child schema; otherwise an error is generated.

moment

  The moment function accepts only degree schema. If present, the degree schema denotes the order of the moment. Otherwise, the moment is assumed to be the first order moment. When used with moment, the degree schema is expected to contain a single child schema; otherwise an error is generated.

### 4.2.4 Relations

binary relation | neq
binary logical relation | implies
binary set relation | in, notin, notsubset, notprsubset
binary series relation | tendsto
n-ary relation | eq, leq, lt, geq, gt
n-ary set relation | subset, prsubset

The MathML content tags include a number of canonically empty elements which denote arithmetic and logical relations. Relations are characterized by the fact that, if an external application were to evaluate them (MathML does not specify how to evaluate expressions), they would typically return a truth value. By contrast, operators generally return a value of the same type as the operands. For example, the result of evaluating a < b is either true or false (by contrast, 1 + 2 is again a number).

Relations are bracketed with their arguments using the reln element in much the same way that other functions are bracketed with apply. The relation element is the first child element of the reln. Thus, the example from the preceding paragraph is properly marked up as:

>     <reln>
>       <lt/>
>       <ci>a</ci>
>       <ci>b</ci>
>     </reln>

It is an error to enclose a relation in an element other than reln.

The number of child elements in the reln is defined by the element in the first (ie. relation) position.

Unary relations are followed by exactly one other child element within the reln.

Binary relations are followed by exactly two child elements.

N-ary relations are followed by zero or more child elements.

The one exception to these rules is that declare elements may be inserted in any position except the first. declare elements are not counted when satisfying the child element count for an reln containing a unary or binary relation element.

### 4.2.5 Conditions

condition | condition

The condition element is used to define the "such that" construct in mathematical expressions. Condition elements are used in a number of contexts in MathML. They are used to construct objects like sets and lists by rule instead of by enumeration. They can be used with the forall and exists operators to form logical expressions. And finally, they can be used in various ways in conjunction with certain operators. For example, they can be used with and int element to specify domains of integration, or to specify argument lists for operators like min and max.

The condition element is always used together with one or more bvar elements. The exact interpretation depends on the context, but generally speaking, the condition element is used to restrict the permissible values of a bound variable appearing in another expression to those which satisfy the relations contained in the condition. Similarly, when the condition element contains a set, the values of the bound variables are restricted to that set.

A condition element contains a single child which is typically a reln element, but may also be an apply or a set element. The apply element is allowed so that several relations can be combined by applying logical operators.

Examples:

The following encodes "x such that x5 < 3".

>     <bvar><ci> x </ci></bvar>
>     <condition>
>       <reln><lt/>
>         <apply><power/>
>           <ci>x</ci>
>           <cn>5</cn>
>         </apply>
>         <cn>3</cn>
>       </reln>
>     </condition>

The next example encodes "x,y such that xy < 1 and yx < x + y".

>     <bvar><ci>x</ci></bvar>
>     <bvar><ci>y</ci></bvar>
>     <condition>
>       <apply><and/>
>         <reln>
>           <lt/>
>           <apply><power/>
>             <ci>x</ci>
>             <ci>y</ci>
>           </apply>
>           <cn>1</cn>
>         </reln>
>         <reln>
>           <lt/>
>           <apply><power/>
>             <ci>y</ci>
>             <ci>x</ci>
>           </apply>
>           <apply><plus/>
>             <ci>y</ci>
>             <ci>x</ci>
>           </apply>
>         </reln>
>       </apply>
>     </condition>

A third example shows the use of quantifiers with condition. The following markup encodes "there exists x < 3 such that x2 = 4".

>     <apply>
>       <exists/>
>       <bvar><ci> x </ci></bvar>
>       <condition>
>         <reln><lt/><ci>x</ci><cn>3</cn></reln>
>       </condition>
>       <reln>
>         <eq/>
>         <apply>
>           <power/><ci>x</ci><cn>2</cn>
>         </apply>
>         <cn>4</cn>
>       </reln>
>     </apply>

### 4.2.6 Syntax and Semantics

mappings | semantics, annotation, annotation-xml

The use of content rather than presentation tagging for mathematics is sometimes referred to as "semantic tagging" [Buswell 1996]. The parse-tree of a fully bracketed MathML content tagged element structure corresponds directly to the expression-tree of the underlying mathematical expression. We therefore regard the content tagging itself as encoding the syntax of the mathematical expression. This is, in general, sufficient to obtain some rendering and even some symbolic manipulation (e.g., polynomial factorization).

However, even in such apparently simple expressions as X + Y, some additional information may be required for applications such as computer algebra. Are X and Y integers,or functions, etc.? 'Plus' represents addition over which field? This additional information is referred to as Semantic Mapping. In MathML, this mapping is provided by the semantics, annotation and annotation-xml elements.

The semantics element is the container element for the MathML expression together with its semantic mappings. semantics expects a variable number of child elements. The first is the element (which may itself be a complex element structure) for which this additional semantic information is being defined. The second and subsequent children, if any, are instances of the elements annotation and/or annotation-xml.

The semantics tags also accepts a definitionURL attribute for use by external processing applications. One use might be a URL for a semantic content dictionary, for example. Since the semantic mapping information might in some cases be provided entirely by the definitionURL attribute, the annotation or annotation-xml elements are optional.

The annotation element is a container for arbitrary data. This data may be in the form of text, computer algebra encodings, C programs, or whatever a processing application expects. annotation has an attribute encoding defining the form in use. Note that the content model of annotation is PCDATA, so care must be taken that the particular encoding does not conflict with XML parsing rules.

The annotation-xml element is a container for semantic information in well-formed XML. For example, an XML form of the OpenMath semantics could be given. Another possible use here is to embed, for example, the presentation tag form of a construct given in content tag form in the first child element of semantics (or vice versa). annotation-xml has an attribute encoding defining the form in use.

For Example:

>     <semantics>
>       <apply> <divide/>
>         <cn>123</cn>
>         <cn>456</cn>
>       </apply>

>       <annotation encoding="Mathematica">
>         N[123/456, 39]
>       </annotation>

>       <annotation encoding="TeX">
>         $0.269736842105263157894736842105263157894\ldots$
>       </annotation>

>       <annotation encoding="Maple">
>         evalf(123/456, 39);
>       </annotation>

>       <annotation-xml encoding="MathML-Presentation">
>         <mrow>
>           <mn> 0.269736842105263157894 </mn>
>           <mover accent='true'>
>             <mn> 736842105263157894 </mn>
>             <mo> &obar; </mo>
>           </mover>
>         </mrow>
>       </annotation-xml>

>       <annotation-xml encoding="OpenMath">
>         <OM_APP>..</OM_APP>
>       </annotation-xml>
>     </semantics>

where <OM_APP>..</OM_APP> are the elements defining the additional semantic information.

Of course, providing an explicit semantic mapping at all is optional, and in general would only be provided where there is some requirement to process or manipulate the underlying mathematics.

### 4.2.7 Semantic Mappings

Although semantic mappings can easily be provided by various proprietary, or highly specialized encodings, there are no widely available, non-proprietary standard semantic mapping schemes. In part to address this need, the goal of the OpenMath effort is to provide a platform-independent, vendor-neutral standard for the exchange of mathematical objects between applications. Such mathematical objects include semantic mapping information. The OpenMath group has defined an SGML syntax for the encoding of this information [OpenMath, 1996]. This element set could provide the basis of one annotation-xml element set.

An attraction of this mechanism is that the OpenMath syntax is specified in SGML, so that a MathML expression together with its semantic annotations can be validated DTD-based parsers.

### 4.2.8 MathML element types

MathML functions, operators, and relations can all be thought of as mathematical functions if viewed in a sufficiently abstract way. For example, the standard addition operator can be regarded as a function mapping pairs of real numbers to real numbers. Similarly, a relation can be thought of as a function from some space of ordered pairs into the set of values {true, false}. To be mathematically meaningful, the domain and range of a function must be precisely specified. In practical terms, this means that functions only make sense when applied to certain kinds of operands. For example, thinking of the standard addition operator, it makes no sense to speak of "adding" a set to a function. Since MathML content markup seeks to encode mathematical expressions in a way that can be unambiguously evaluated, it is no surprise that the types of operands is an issue.

MathML specifies the types of arguments in two ways. The first way is by providing precise instructions for processing applications about the kinds of arguments expected by the MathML content elements denoting functions, operators and relations. These operand types are defined in a dictionary of Default Semantic Bindings for Content Elements given in Appendix F. For example, the MathML Content dictionary specifies that for real scalar arguments the plus operator is the standard commutative addition operator over a field. Elements such as cn and ci have type attributes with default values of "real". Thus some processors will be able to use this information to verify the validity of the indicated operations.

Although MathML specifies the types of arguments for functions, operators and relations, and provides a mechanism for typing arguments, a MathML compliant processor is not required to do any type checking. In other words, a MathML processor will not generate errors if argument types are incorrect. If the processor is a computer algebra system, it may be unable to evaluate an expression, but no MathML error is generated.

## 4.3 Content Element Attributes

### 4.3.1 Content Element Attribute Values

Content element attributes are all of the type CDATA, that is, any character string will be accepted as valid. In addition, each attribute has a list of predefined values, which a content processor is expected to recognize and process. The reason that the attribute values are not formally restricted to the list of predefined values is to allow for extension. A processor encountering a value (not in the predefined list) which it does not recognize may validly process it as the default value for that attribute.

### 4.3.2 Attributes Modifying Content Markup Semantics

Each attribute is followed by the elements to which it can be applied.

#### 4.3.2.1 base

cn
  indicates numerical base of the number. Predefined values: any numeric string

  Default = "10"

#### 4.3.2.2 closure

interval
  indicates closure of the interval. Predefined values: open, closed, open-closed, closed-open.

  Default = "closed"

#### 4.3.2.3 definitionURL

fn, declare, semantics,
any operator element
  points to an external definition of the semantics of the function or construct being declared. The value is a URL which should point to some kind of definition. This definition overrides the MathML default semantics.

  At present, MathML does not specify the format in which external semantic definitions should be given. In particular, there is no requirement that the target of the URL be loadable and parsable. An external definition could, for example, define the semantics in human-readable form.

  Ideally, in most situations the definition pointed to by the definitionURL attribute would be some standard, machine-readable format. However, there are several reasons why MathML does not require such a format.

  First, no such format currently exists. There are several projects underway to develop and implement standard semantic encoding formats, most notably the OpenMath effort. But by nature, the development of a comprehensive system of semantic encoding is a very large enterprise, and while much work has been done, much additional work remains. Therefore, even though the defintionURL is designed and intended for use with a formal semantic encoding language such as OpenMath, it is premature to require any one particular format.

  Another reason for leaving the format of the definitionURL attribute unspecified is that there will always be situations where some non-standard format is preferable. This is particularly true in situations where authors are describing new ideas.

  It is anticipated that in the near term, there will be a variety of renderer-dependent implementations of the definitionURL attribute. For example, a translation tool might simply prompt the user with the specified definition in situations where the proper semantics have been overridden, and in this case, human-readable definitions will be most useful. Other software may utilize OpenMath encodings. Still other software may use proprietary encodings, or look for definitions in any of several formats.

  As a consequence, authors need to be aware that there is no guarantee a generic renderer will be able to take advantage of information pointed to by the definitionURL attribute. Of course, when widely-accepted standardized semantic encodings are available, the definitions pointed to can be replaced without modifying the original document. However, this is likely to be labor intensive.

  There is no default value for the definitionURL attribute, i.e. the semantics are defined within the MathML fragment, and/or by the MathML default semantics.

#### 4.3.2.4 encoding

annotation, xml_annotation
  indicates the encoding of the annotation. Predefined values MathML-Presentation, MathML-Content. Other typical values: TeX, OpenMath

  Default = "", ie. unspecified.

#### 4.3.2.5 nargs

declare
  indicates number of arguments for function declarations. Pre-defined values: "nary", any numeric string.

  Default = "1"

#### 4.3.2.6 occurrence

declare
  indicates occurrence for operator declarations. Pre-defined values: prefix, infix, function-model

  Default = "function-model"

#### 4.3.2.7 order

list
  indicates ordering on the list. Predefined values: lexicographic, numeric

  Default = "numeric"

#### 4.3.2.8 scope

declare
  indicates scope of applicability of the declaration. Pre-defined values: local, global.

  - local means the containing MathML element.
  - global means the containing math element.

  Default = "local"

  At present, declarations cannot affect anything outside of the containing math element. Ideally, one would like to make document-wide declarations by setting the value of the scope attribute to be "global-document". However, the proper mechanism for document-wide declarations very much depends on details of the way in which XML will be embedded in HTML, future XML style sheet mechanisms, and the underlying document object model.

  Since these supporting technologies are still in flux at present, the MathML specification does not include "global-document" as a pre-defined value of the scope attribute. It is anticipated, however, that this issue will be revisited in future revisions of MathML as supporting technologies stabilize. In the near term, MathML implementors that wish to simulate the effect of a document-wide declaration are encouraged to pre-process documents in order to distribute document-wide declarations to each individual math element in the document.

#### 4.3.2.9 type

cn
  indicates type of the number. Predefined values: integer, rational, real, float, complex, complex-polar, complex-cartesian, constant.

  Default = "real"

  Notes: Each data type implies that the data adheres to certain formating conventions, detailed below. If the data fails to conform to the expected format, an error is generated. Details of the individual formats are:

  real: A real number is presented in decimal notation. Decimal notation consists of an optional sign ("+" or "-") followed by a string of digits possibly separated into an integer and a fractional part by a "decimal point". Some examples are .3, 1, and -31.56. If a different BASE is specified, then the digits are interpreted as being digits computed to that base.

  A real number may also be presented in scientific notation. Such numbers have two parts (a mantissa and an exponent) separated by e. The first part is a real number while the second part is an integer exponent indicating a power of the base. For example, 12.3e5 represents 12.3 times 10 ^5.

  integer: An integer is represented by an optional sign followed by a string of 1 or more "digits". What a "digit" is depends on the base attribute. If base is present, it specifies the base for the digit encoding, and it specifies it base ten. Thus base='16' specifies a hex encoding. When base > 10, letters are added in alphabetical order as digits. The legitimate values for base are therefore between 2 and 36.

  rational: A rational number is two integers separated by the <sep/> element. If base is present, it specifies the base used for the digit encoding of both integers.

  complex-cartesian: A complex number is of the form two real point numbers separated by <sep/>.

  complex-polar: A complex number is specified in the form of a magnitude and an angle (in radians). The raw data is in the form of two real numbers separated by <sep/>.

  constant: The "constant" type is used to denote named constants. For example, an instance of `<cn type="constant">&pi;</cn>` should be interpreted as having the semantics of the mathematical constant Pi. The data for a constant cn tag may be one of the following common constants:

  Symbol | Value
  &pi; | The usual π of trigonometry: approximately 3.141592653...
  &ExponentialE; (or &ee;) | The base for natural logarithms: approximately 2.718281828 ...
  &ImaginaryI; (or &ii;) | Square root of -1.
  &gamma; | Euler's constant: approximately .5772156649...
  &infin; (or &infty;) | Infinity. Proper interpretation varies with context
  &true; | the logical constant 'TRUE'
  &false; | the logical constant 'FALSE'
  &NotANumber; (or &NaN;) | represents the result of an ill-defined floating point division

ci
  indicates type of the identifier. Predefined values: integer, rational, real, float, complex, complex-polar, complex-cartesian, constant, any content element name. The meaning of the various attribute values is the same as that listed above for the cn element.

  Default = "" , ie. unspecified.

declare
  indicates type of the identifier being declared. Predefined values: any content element name.

  Default = "ci" , ie. a generic identifier

set
  indicates type of the set. Predefined values: normal, multiset. "multiset" indicates that repetitions are allowed.

  Default = "normal"

tendsto
  indicates the direction from which the limiting value is approached. Predefined values: above, below, two-sided.

  Default = "above"

### 4.3.3 Attributes Modifying Content Markup Rendering

#### 4.3.3.1 type

The type attribute, in addition to conveying semantic information, can be interpreted to provide rendering information. For example in

    <ci type="vector">V</ci>

a renderer could display a bold V for the vector.

#### 4.3.3.2 General Attributes

All content elements support the following general attributes which can be used to modify the rendering of the markup.

- class
- style
- id
- other

The class, style and id attributes are intended for compatibility with Cascading Style Sheets, as described in 2.3.4.

Content or semantic tagging goes along with the (frequently implicit) premise that, if you know the semantics, you can always work out a presentation form. When an author's main goal is to mark up re-usable, evaluatable mathematical expressions, the exact rendering of the expression is probably not critical, provided that it is easily understandable. However, when an author's goal is more along the lines of providing enough additional semantic information to make a document more accessible by facilitating better visual rendering, voice rendering, or specialized processing, controlling the exact notation used becomes more of an issue.

MathML elements accept an attribute other (see 7.2.3) which can be used to specify things not specifically documented in MathML. On content tags, this attribute can be used by an author to express a preference between equivalent forms for a particular content element construct, where the selection of the presentation has nothing to do with the semantics. Examples might be

- inline or displayed equations
- script style fractions
- use of x with a dot for a derivative over dx/dt

Thus, if a particular renderer recognized a display attribute to select between script style and display style fractions, an author might write

>     <apply other='display="scriptstyle"'>
>       <divide/>
>       <mn> 1 </mn>
>       <mi> x </mi>
>     </apply>

to indicate that the rendering 1/x is preferred.

The information provided in the other attribute is intended for use by specific renderers or processors, and therefore, the permitted values are determined by the renderer being used. It is legal for a renderer to ignore this information. This might be intentional, in the case of a publisher imposing a house style, or simply because the renderer does not understand them, or is unable to carry them out.

Next: Content Markup -- The Content Markup Elements
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