Representation Theory
Representation theory is fundamental in the study of objects with symmetry.
It arises in contexts as diverse as card shuffling and quantum mechanics. An early success was the work of Schur and Weyl, who computed the representation theory of the symmetric and unitary groups; the answer is closely related to the classical theory of symmetric functions and deeper study leads to intricate questions in combinatorics.
More recently, methods from geometry and topology have greatly enhanced our understanding of these questions (“geometric representation theory”). The study of affine Lie algebras and quantum groups has brought many new ideas and viewpoints, and representation theory now furnishes a basic language for other fields, including the modern theory of automorphic forms.
All of these aspects are studied by Stanford faculty. Topics of recent seminars include combinatorial representation theory as well as quantum groups.
Daniel Bump
Persi Diaconis
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Course info.
- Prof. Pavel Etingof
Departments
- Mathematics
As Taught In
- Algebra and Number Theory
- Linear Algebra
Learning Resource Types
Introduction to representation theory, lecture notes.
Students are assigned readings in these lecture notes each week. The present lecture notes arose from a representation theory course given by Prof. Etingof in March 2004 within the framework of the Clay Mathematics Institute Research Academy for high school students. The students in that course — Oleg Golberg, Sebastian Hensel, Tiankai Liu, Alex Schwendner, Elena Yudovina, and Dmitry Vaintrob — co-authored the lecture notes which are published here with their permission.
The book Introduction to Representation Theory based on these notes was published by the American Mathematical Society in 2016. A complete file of the book (PDF - 1.1MB) is on Prof. Etingof’s webpage. [Please note: This file cannot be posted on any website not belonging to the authors.]
Complete Lecture Notes ( PDF - 1.3MB )
Introduction ( PDF )
Chapter 1: basic notions of representation theory ( pdf ).
1.1 What is representation theory? 1.2 Algebras 1.3 Representations 1.4 Ideals 1.5 Quotients 1.6 Algebras defined by generators and relations 1.7 Examples of algebras 1.8 Quivers 1.9 Lie algebras 1.10 Tensor products 1.11 The tensor algebra 1.12 Hilbert’s third problem 1.13 Tensor products and duals of representations of Lie algebras 1.14 Representations of sl(2) 1.15 Problems on Lie algebras
Chapter 2: General Results of Representation Theory ( PDF )
2.1 Subrepresentations in semisimple representations 2.2 The density theorem 2.3 Representations of direct sums of matrix algebras 2.4 Filtrations 2.5 Finite dimensional algebras 2.6 Characters of representations 2.7 The Jordan-Hölder theorem 2.8 The Krull-Schmidt theorem 2.9 Problems 2.10 Representations of tensor products
Chapter 3: Representations of Finite Groups: Basic Results ( PDF )
3.1 Maschke’s Theorem 3.2 Characters 3.3 Examples 3.4 Duals and tensor products of representations 3.5 Orthogonality of characters 3.6 Unitary representations. Another proof of Maschke’s theorem for complex representations 3.7 Orthogonality of matrix elements 3.8 Character tables, examples 3.9 Computing tensor product multiplicities using character tables 3.10 Problems
Chapter 4: Representations of Finite Groups: Further Results ( PDF )
4.1 Frobenius-Schur indicator 4.2 Frobenius determinant 4.3 Algebraic numbers and algebraic integers 4.4 Frobenius divisibility 4.5 Burnside’s theorem 4.6 Representations of products 4.7 Virtual representations 4.8 Induced representations 4.9 The Mackey formula 4.10 Frobenius reciprocity 4.11 Examples 4.12 Representations of _S_ n 4.13 Proof of theorem 4.36 4.14 Induced representations for _S_ n 4.15 The Frobenius character formula 4.16 Problems 4.17 The hook length formula 4.18 Schur-Weyl duality 4.19 Schur-Weyl duality for GL (V) 4.20 Schur polynomials 4.21 The characters of L λ 4.22 Polynomial representations of GL (V) 4.23 Problems 4.24 Representations of _GL_ 2 (F q )
4.24.1 Conjugacy classes in _GL_ 2 (F q ) 4.24.2 1-dimensional representations 4.24.3 Principal series representations 4.24.4 Complementary series representations
4.25 Artin’s theorem 4.26 Representations of semidirect products
Chapter 5: Quiver Representations ( PDF )
5.1 Problems 5.2 Indecomposable representations of the quivers A1,A2,A3 5.3 Indecomposable representations of the quiver D 4 5.4 Roots 5.5 Gabriel’s theorem 5.6 Reflection functors 5.7 Coxeter elements 5.8 Proof of Gabriel’s theorem 5.9 Problems
Chapter 6: Introduction to Categories ( PDF )
6.1 The definition of a category 6.2 Functors 6.3 Morphisms of functors 6.4 Equivalence of categories 6.5 Representable functors 6.6 Adjoint functors 6.7 Abelian categories 6.8 Exact functors
Chapter 7: Structure of Finite Dimensional Algebras ( PDF )
7.1 Projective modules 7.2 Lifting of idempotents 7.3 Projective covers
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Developing children’s mathematical understanding with a variety of representations
“We didn’t do it like that in my day.” Discover the importance of learning different methods and strategies and why teaching a variety of mathematical representations is essential to learning.
In mathematical terms, we use the word representations as one way of labelling the many methods and strategies we may encounter. This definition of representations may be useful in understanding this further:
“The act of capturing a mathematical concept or relationship in some form and to the form itself.” – National Council of Teachers of Mathematics
We also need to challenge the notion that there’s only one right way to approach a problem. It’s a reminder that mathematics is wholly creative and we should embrace the differences in the representations we see.
Can you imagine if there was only one representation of a cake, chocolate or ice-cream?
Understanding representations within the CPA approach
You may be familiar with the Concrete, Pictorial, Abstract (CPA) approach developed by Jerome Bruner.
Put simply, a mathematical problem can be represented using concrete or physical materials, the problem can then be represented using a diagram or picture and the same problem can be represented in the abstract, using symbolic notation:
Within these approaches there are variations and different representations, but they continue to represent the same problem.
How to make sure children have access to multiple representations
It’s important that children have access to different representations of the same mathematical idea or concept. Once they’ve grasped how different representations work, they’ll be on the road to understanding how and when to use them.
1. Teach representations in the correct order
To ensure different representations don’t lead to confusion, the order in which they are presented has to be well thought out. Then, any variation in the representations acts as a support and challenge in a learner’s development of new mathematical ideas.
The following example from Maths — No Problem! Textbook 5A shows a carefully planned progression through a range of representations. The lesson, as with all of the lessons in the series, starts with a single problem:
How many seats are there in this theatre?
There are 28 rows of chairs and there are 26 chairs in each row. This pictorial representation of the problem suggests three separate arrays (28 x 8, 28 x 10 and 28 x 8) which should prompt learners to realise that this is a multiplication problem. They may also realise that the three arrays can be brought together to represent the equation 28 x 26 = [ ]
At this point, children can explore the range of mathematical strategies they know to solve the problem. When these are written down or shown, they become representations of the problem. These representations help develop the ideas and concepts that can be used to solve the problem.
The learners are then given an opportunity to read the textbook and in doing so, have access to a range of carefully structured representations demonstrating the initial problem.
2. Link initial concept exploration with the representations in the textbooks
The link between the first stage of the lesson (discussing and exploring an initial problem), with the representations in the book is crucial to children’s learning. This encourages learners to compare their strategies and approaches to those shown in the book — giving them an opportunity to make connections and relate mathematical ideas.
Here’s an example:
There are 28 rows. Each row consists of 26 seats. There are 728 seats.
The first representation is pictorial. It shows the array of seats in the theatre and connects this to a multiplication strategy using number bonds to break 28 into 10, 10 and 8, and 26 into 10, 10 and 6.
Maths — No Problem! character Ravi gives support by reminding learners that the groups of seats will need to be added together to find the total number. This pictorial representation is particularly useful as it provides links to earlier ideas relating to ten that could be used to support struggling learners. The Base 10 blocks feature on the Visualiser app has been used to demonstrate this.
3. Ask learners to use their prior knowledge to solve more abstract problems
The next representation you see doesn’t have pictorial support. But because the previous example did, the link between the pictorial representation and the abstract representation has been provided. To further develop this link you can ask your learners:
“Where do we look when we read 10 x 26 = 260?” “Why are there two equations that are the same?” “How do the equations relate to the seating plan?”
These questions relate the mathematics to the problem, and children can start to see the relationship between the different representations.
4. Support learners’ understanding of mathematical concepts
The use of language, written words and reading maths is essential to a learner’s understanding. This idea is continually being developed and built upon. Revisiting these ideas again and again within a spiral curriculum is a key component of a maths mastery approach.
A lesson from Maths — No Problem! Textbook 3A , two years earlier, provided the basis for Sam to be able to relate 26 x 2 to 26 x 20.
As teachers, we can also use this earlier lesson to support children’s understanding if they are struggling to make that connection for themselves.
26 x 20 = 26 x 2 tens 26 x 2 tens = 52 tens 52 tens = 520
Sam also understands that if he doubles the number of groups, or the number of items in the group, he can systematically work through the problem. Again, you can relate this to the pictorial representation in the second example.
The final example in the book is another abstract method — often referred to as a formal written method. The orientation and directionality of the calculation has changed, however, at each step of the problem, the numbers relate to the previous examples and the original problem.
The goal of maths mastery is for learners to get to a point where they no longer have to attend to certain functions as they solve a problem. In this example, we would want the children to just know that 28 can be broken into smaller parts or just know that 6 x 8 is 48. That way, they can concentrate on new ideas that are associated (in this case, with multiplying a 2-digit number by another 2-digit number).
In the examples above, a carefully structured approach provides representations that allow children to develop their understanding of multiplication.
Teaching multiple representations is a core part of learning mathematics. It’s exciting to make new connections in the representations we have access to.
In a time where blended learning is becoming increasingly widespread, so too is the opportunity to see and interpret different representations. Whether it be representations family members, friends, online resources or books, these different representations should excite, not dull our sense of curiosity. We should use it as a challenge to see the mathematics that connects the various representations.
Adam Gifford
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What is Representation Theory?
I'm beginning a course that uses representation theory, but I do not really understand what that is about. In the text I am following, I have the following definition:
A representation of the Lie group $G$ on the vector space $V$ is a continuous mapping $\cdot \colon G \times V \to V$ such that for each $g \in G$, the translation $T_{g} \colon V \to V$ given by $T_g(v) = g \cdot v$, $v \in V$, is a linear map; $T_{e} = \mathrm{Id}$ where $e$ is the identity element of $G$; $T_{gh} = T_{g} T_{h}$ for $g, h \in G$. We call the pair $(V,\cdot)$ a real (resp. complex) representation and $V$ the representation space.
What is the motivation behind this sort of definition? From my google searches I have seen different definitions, but I still don't really know why what I am reading is defined that way. Why a Lie group and not a regular group? etc.
- group-theory
- representation-theory
- 2 $\begingroup$ To answer your question "why a Lie group", the answer is that the definition works for any group. In fact, there are some groups which we only really know how to study via their representations. A representation allows us to take a group we may know very little about and study it using the familiar tools of linear algebra. $\endgroup$ – Mathmo123 Commented Jan 27, 2016 at 0:45
- 2 $\begingroup$ This is worth reading. $\endgroup$ – Mathmo123 Commented Jan 27, 2016 at 22:38
- 1 $\begingroup$ @MarianoSuárez-Alvarez A cursory look suggests that there are several questions on the applications of rep theory, but none that I can find asking why we would bother to define representations in the first place. This question is the closest, but seems to be asking more from a perspective of looking for applications from a position of knowledge. Of course I may have missed something. $\endgroup$ – Mathmo123 Commented Jan 27, 2016 at 23:20
- 1 $\begingroup$ I tried searching 'motivation representation theory', but what I found didn't really satisfy what I was looking for. The answer given by @Mathmo123 has helped immensely with clearing up my confusion and hopefully will clear up the confusion of my classmates and anyone else. $\endgroup$ – diffGeoLost Commented Jan 27, 2016 at 23:48
- 1 $\begingroup$ @Mathmo123, the asnwers here and IMO the question are subsets of those at the second question you linked. $\endgroup$ – Mariano Suárez-Álvarez Commented Jan 28, 2016 at 0:13
2 Answers 2
One of the most common ways that groups arise "in the wild" is as sets of symmetries of an object . For example
- The symmetry group $S_n$ is the group of all permutations of $\{1,\ldots n\}$
- The dihedral group $D_{2n}$ is the group of symmetries of a regular $n$ -gon
- The Lie group $\mathrm{GL}_n(\mathbb R)$ is the group of invertible linear maps on $\mathbb R^n$
More generally, given a general abstract group $G$ , we regularly consider the case of $G$ acting on a set $X$ , and we might ask the question: given some set $X$ , what is its "group of symmetries".
Representation theory asks the converse to this question:
Given a group $G$ , what sets does it act on?
Whilst it is possible to attempt to answer this general, a useful starting point is to restrict the sets in question to sets we know an awful lot about: vector spaces.
Definition: Let $G$ be a group, and $V/k$ be a vector space. A representation of $G$ is a group action of $G$ on $V$ that is linear (so preserves the vector space structure of $V$ ) - i.e. for every $g\in G$ , $u,v\in V$ , $\mu,\lambda\in k$ $$g(\lambda u+\mu v) = \lambda g(u) + \mu g(v).$$
This is the definition that you have been given. With $V$ as before, an equivalent definition is this:
A representation of $G$ is a group homormophism $$\rho: G\to\mathrm{GL}(V)$$
Indeed, a group action of $G$ on $V$ assigns to each $g$ an invertible linear map. And given a homomorphism $\rho$ , $G$ acts on $V$ via $g\cdot v = \rho(g)v$ .
In the case that $G$ is a Lie group (or more generally a topological group), then we require this action/representation to be continuous.
Representation theory allows us to translate our viewpoint by viewing (a quotient of) our group as a group of linear maps on a vector space. This allows us to tackle problems in group theory using the familiar and powerful tools of linear algebra. For example, we can take the trace of a linear map, and the identity $\mathrm{tr}(ABA^{-1}) = \mathrm{tr}(B)$ tells us that the trace of a representation (called the character of the representation) is constant on the conjugacy classes of a group. We can also consider determinants, characteristic polynomials, dual vector spaces (or the dual representation), dimension and many more of our favourite concepts from linear algebra.
Representations are certainly powerful:
- There are theorems (for example, concerning Frobenius groups ) whose only known proofs use representation theory.
- There are groups (such as $\mathrm{Gal}(\overline{\mathbb Q}/\mathbb Q)$ ) which we only really know how to study via their representations.
Rough answer. Before there was an abstract definition of "Lie group" mathematicians studied groups of matrices. A Lie group is a generalization of a group of matrices. It turns out that one way to try to understand a Lie group is to look at all the ways to "represent" it as a group of matrices. Each mapping in the definition in your question does just that.
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Not the answer you're looking for browse other questions tagged group-theory representation-theory motivation ..
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Mathematical Representations
- Reference work entry
- First Online: 01 January 2020
- Cite this reference work entry
- Gerald A. Goldin 2
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Definitions
As most commonly interpreted in education, mathematical representations are visible or tangible productions – such as diagrams, number lines, graphs, arrangements of concrete objects or manipulatives, physical models, written words, mathematical expressions, formulas and equations, or depictions on the screen of a computer or calculator – that encode, stand for, or embody mathematical ideas or relationships. Such a production is sometimes called an inscription when the intent is to focus on a specific instance without referring, even tacitly, to any interpretation of it. To call something a representation thus includes reference to some meaning or signification it is taken to have. Such representations are called external – i.e., they are external to the individual who produced them and accessible to others for observation, discussion, interpretation, and/or manipulation. Spoken language, interjections, gestures, facial expressions, movements, and postures may sometimes...
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- Representation Of Functions
Representation Of A Function
A function is a relation between two sets of variables such that one variable depends on another variable. We can represent different types of functions in different ways. Usually, functions are represented using formulas or graphs. There are four ways for the representation of a function as given below:
- Algebraically
- Numerically
Algebraic | A function is represented using a mathematical model |
Numerical | A function is represented using a table of values or chart |
Visual | In this way of representation, the function is shown using a continuous graph or scooter plot |
Verbal | Word description is used in this way to the representation of a function. |
Each one of them has some advantages and disadvantages. Let us look at them once and try to understand them.
Representation of a Function – Algebraic
The algebraic representation of a function refers to the expression of a function using an equation or mathematical model. As we know, the process of interpreting a real-world problem in a convenient function is called mathematical modelling. The resulting function and a representation of all input and output variables, including proper units of measure, are referred to as a mathematical model. Input/output diagrams often represent mathematical models.
It is one of the usual representations of functions. Here, functions are explicitly represented using formulas, and the functions are generally denoted by lower case alphabet letters. Let us take the cube function.
Figure 1: Block diagram depicting a cube function
The standard letter to represent function is f. However, it can be represented by any variable. To denote the function f algebraically, i.e., using the formula, we write:
\(\begin{array}{l} f:x \end{array} \) → \(\begin{array}{l} x^3\end{array} \)
where x is the variable indicating the input. It can be represented by any variable.
\(\begin{array}{l} x^3 \end{array} \) is the formula of function
f is the name of the function
Though one of the easy and understandable ways of representing a function, it is not always easy to get the function’s formula. For those cases, we use other methods of representation.
Representation of a Function- Visual
This is basically the graphical representation of functions. This way of representation is very easy to understand. The input values are marked along the x-axis. For any input value, the corresponding output value is the vertical displacement from the x-axis. For e.g. at x = a, the output is equal to f(a).
Figure 2: Graph of a function
The graph shows the properties of the functions. For e.g. from figure 2, we can directly tell:
- where the graph is increasing or decreasing
- where the rate of change is more and where it is less
- where are the extreme values
Thus, graphs are very beneficial for studying the behaviour of the function. One drawback is that we can’t always get the exact values of all the outputs from the graph.
Learn more about functions and their graphs here.
Representation of a Function- Numerical
This is basically the tabular way of representing a function. The table contains two columns; one with the dependent variable and the other with the independent variable. To show an example, let us take the function f and independent variable as x. The table is given as:
Table 1: Table representing a function f(x) = 2x
x | f(x) |
-1 | -2 |
– 0.5 | -1 |
0 | 0 |
0.5 | 1 |
1 | 2 |
1.5 | 3 |
Though we have the exact value of the outputs, we can only have a finite number of such outputs. The analysis of the function and study of its behaviour hence becomes difficult.
Representation of a Function- Verbal
In this way of representing functions, we use words. For e.g.
- For the input x, the function gives the largest integer smaller than or equal to x, i.e. floor function (see fig. 3).
- For the input x, the function gives the value equal to x, i.e. identity function (see fig. 4).
Figure 3: Floor function
Frequently Asked Questions – FAQs
A function can be represented in how many ways, verbal function represented by, algebraic function is represented by what, which function is represented chart, which function is represented by a continuous graph.
Each of the representations has its pros and cons. According to the information required, appropriate representation should be adopted. To learn more about functions, visit BYJU’S and fall in love with learning!
Put your understanding of this concept to test by answering a few MCQs. Click ‘Start Quiz’ to begin!
Select the correct answer and click on the “Finish” button Check your score and answers at the end of the quiz
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Mathematical Representations Series Part 3: Symbolic Representation
Welcome back to our deep dive into mathematical representations! Today, we are taking a look at symbolic representations and how we can translate between symbolic, concrete, and visual representations. First, let’s do a two-sentence recap of this series so far:
We have already focused on concrete representations and the immense value of manipulatives, as well as the range of visual representations we want to encourage with our students. We are centering our conversation around Lesh’s Translation Model, which encompasses the range of ways we represent our thinking, and stresses the importance of making connections between representations.
Symbolic Representation
Now, that we’re all caught up, let’s take a peek at Symbolic Representations. You may have heard it called Abstract Representation, especially if you’re familiar with the Concrete-Pictorial-Abstract model (also called CRA model).
So what are symbolic representations? Well, symbolic representation is when mathematical symbols (like numerals and operation signs) are used to show a mathematical concept. They are using symbolic, mathematical language to express their understanding of a math concept.
Let’s go back to the example from concrete representation . In that example, the student used 5 yellow counters, and 4 red counters to concretely show their understanding of 5 + 4 = 9.
Then in their visual representation , they were able to create a sketch of their concrete representation. This was our first example of translating between two different representations (connecting visual to concrete).
Now, we can support students even further by helping them represent their understanding with symbols. Here the student counts the collection of five counters and writes the numeral “5” below it. They do the same for the four counters.
Finally, they count all of the counters together and write down “9”. We can help them with the operations symbols if needed, showing that “+” means that we are putting the 5 and the 4 together and that the “=” means “4+5” has the same value as “9”.
When we guide students to using numerals and operations, they are connecting their manipulatives, their sketches, AND the symbolic representation. This is such a powerful move to help deepen student understanding!
Connecting Two Symbolic Representations
It’s a fairly straightforward representation, but how do abstract representations connect to themselves in Lesh’s translation model?
Well, this student actually wanted to write 4 + 4 +1 because that is how they solved the problem. They knew 4 + 4 = 8, so 4 + 5 = 9 because it’s 4 + 4 + 1 more. Understanding that both expressions can describe the same concept is just one example of how to translate within the symbolic representation.
What’s Up Next?
This series is going to dive deep into each of the representations discussed in Lesh’s Translation Model, and then we are going to put it all together so we can make a big impact on your math teaching this year.
If you missed Part One about Concrete Representations or Part Two about Visual Representations , check them out so you have all of the info you need before we move on!
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Great post! I completely agree that symbolic representations can help students understand complex mathematical concepts more easily. I’ve seen firsthand how visual aids and manipulatives can make a difference in a student’s learning journey. Thanks for sharing your insights and experiences!
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representation
Definition of representation
Examples of representation in a sentence.
These examples are programmatically compiled from various online sources to illustrate current usage of the word 'representation.' Any opinions expressed in the examples do not represent those of Merriam-Webster or its editors. Send us feedback about these examples.
Word History
15th century, in the meaning defined at sense 1
Phrases Containing representation
- proportional representation
- self - representation
Dictionary Entries Near representation
representant
representationalism
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“Representation.” Merriam-Webster.com Dictionary , Merriam-Webster, https://www.merriam-webster.com/dictionary/representation. Accessed 7 Sep. 2024.
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Representation (mathematics) In mathematics, a representation is a very general relationship that expresses similarities (or equivalences) between mathematical objects or structures. Roughly speaking, a collection Y of mathematical objects may be said to represent another collection X of objects, provided that the properties and relationships ...
Definitions. As most commonly interpreted in education, mathematical representations are visible or tangible productions - such as diagrams, number lines, graphs, arrangements of concrete objects or manipulatives, physical models, mathematical expressions, formulas and equations, or depictions on the screen of a computer or calculator ...
harmony in mathematics 100 x5.6. Representations of products 104 x5.7. Virtual representations 105 x5.8. Induced representations 105 x5.9. The Frobenius formula for the character of an induced representation 106 x5.10. Frobenius reciprocity 107 x5.11. Examples 110 x5.12. Representations of Sn 110 x5.13. Proof of the classi cation theorem for ...
representation is an important skill that learners need to develop in order to be more proficient in learning mathematics. In the last couple of decades, the role of representation in mathematics education has been increased but requires more research studies to explore various aspects of representations. Keywords Representation
Representation theory studies how algebraic structures "act" on objects. A simple example is how the symmetries of regular polygons, consisting of reflections and rotations, transform the polygon. Representation theory is a branch of mathematics that studies abstract algebraic structures by representing their elements as linear transformations ...
Definition 1.9. A representation of an algebra A (also called a left A-module) is a vector space. V together with a homomorphism of algebras δ : A ⊃ EndV . Similarly, a right A-module is a space V equipped with an antihomomorphism δ : A ⊃ EndV ; i.e., δ satisfies δ(ab) = δ(b)δ(a) and δ(1) = 1.
Example 1.19. If V is a representation of G, define thespace of invariants VG = {v∈V |gv= vfor all g∈G}. Observe that VG is a subrepresentation of V and it is a direct sum of trivial representations. Definition 1.20.A linear representation V is irreducible if V ̸= 0 and the only subrepresentations of Vare 0 and Vitself. Otherwise, the ...
Representation theory is fundamental in the study of objects with symmetry. It arises in contexts as diverse as card shuffling and quantum mechanics. An early success was the work of Schur and Weyl, who computed the representation theory of the symmetric and unitary groups; the answer is closely related to the classical theory of symmetric functions and deeper study leads to intricate ...
dimensional representation of U is a direct sum of irreducible representations. As another example consider the representation theory of quivers. A quiver is a finite oriented graph Q. A representation of Q over a field k is an assignment of a k-vector space Vi to every vertex i of Q, and of a linear operator Ah: Vi ⊃ Vj to every directed
Symmetries occur throughout mathematics and science. Representation theory seeks to understand all the possible ways that an abstract collection of symmetries can arise. Nineteenth-century representation theory helped to explain the structure of electron orbitals, and 1920s representation theory is at the heart of quantum chromodynamics.
This section provides the lecture notes from the course. The present lecture notes arose from a representation theory course given by Prof. Etingof in March 2004 within the framework of the Clay Mathematics Institute Research Academy for high school students. The students in that course — Oleg Golberg, Sebastian Hensel, Tiankai Liu, Alex Schwendner, Elena Yudovina, and Dmitry Vaintrob — co ...
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These representations help develop the ideas and concepts that can be used to solve the problem. The learners are then given an opportunity to read the textbook and in doing so, have access to a range of carefully structured representations demonstrating the initial problem. 2. Link initial concept exploration with the representations in the ...
Chapter 2 is devoted to the basics of representation theory. Here we review the basics of abstract algebra (groups, rings, modules, ideals, tensor products, symmetric and exterior powers, etc.), as well as give the main de nitions of representation theory and discuss the objects whose representations we will study (associative algebras,
representation are important to consider in school mathematics. Fig. 3.8. A child's representation of five and one-half Some forms of representation—such as diagrams, graphical displays, and symbolic expressions—have long been part of school mathematics. Unfortunately, these representations and others have often been taught and
A representation of G is a group action of G on V that is linear (so preserves the vector space structure of V) - i.e. for every g ∈ G, u, v ∈ V, μ, λ ∈ k. g(λu + μv) = λg(u) + μg(v). This is the definition that you have been given. With V as before, an equivalent definition is this:
Definitions. As most commonly interpreted in education, mathematical representations are visible or tangible productions - such as diagrams, number lines, graphs, arrangements of concrete objects or manipulatives, physical models, written words, mathematical expressions, formulas and equations, or depictions on the screen of a computer or ...
Multiple representations (mathematics education) In mathematics education, a representation is a way of encoding an idea or a relationship, and can be both internal (e.g., mental construct) and external (e.g., graph). Thus multiple representations are ways to symbolize, to describe and to refer to the same mathematical entity.
Verbal Representation. The language we use to communicate our thoughts and ideas is another equally important representation. This can be oral, written, signed, or any way that a student would look to communicate language. James Heddens writes that students "need to be given opportunities to verbalize their thought processes: verbal ...
Algebraic. A function is represented using a mathematical model. Numerical. A function is represented using a table of values or chart. Visual. In this way of representation, the function is shown using a continuous graph or scooter plot. Verbal. Word description is used in this way to the representation of a function.
This was our first example of translating between two different representations (connecting visual to concrete). Now, we can support students even further by helping them represent their understanding with symbols. Here the student counts the collection of five counters and writes the numeral "5" below it. They do the same for the four ...
How to use representation in a sentence. one that represents: such as; an artistic likeness or image; a statement or account made to influence opinion or action… See the full definition
A relation in math is a representation of the relationship between two sets of numbers, the domain and range. The relation tells the user the output if a specific input is given. For example, the ...