happens all the time.
Neither side is right or wrong. Get used to it.
Symbolic expressions don’t have to have algebraic form and they do not have to name numbers.
Each branch of mathematics is concerned with certain particular kinds of mathematical objects, and every one of them studies many different kinds of operations on the objects , expressed (usually) in symbolic notation.
A fundamental difficulty many people new to algebra have is that they don't pay attention to the difference betweeen assertions and terms.
An expression such as “$x\alpha y$, where $\alpha$ is any old symbol, may be an assertion ( saying something) or a term ( naming something).
Two symbols used in the study of integers are notorious for their confusing similarity.
Notice that $m/n$ is an integer if and only if $n|m$. Not only is $m/n$ a number and $n|m$ a statement , but the statement "one is an integer if and only if the other is true" is correct only after the $m$ and $n$ are switched!
It is wise to be a bit paranoid |
When you see a complicated assertion or term you have to be patient . You must stop and unwind it. Read the tiresomely long example of unwinding an expression in Zooming and Chunking.
Turning symbolic terms into functions.
The expression "${{x}^{2}}-1$" is a symbolic term. You may define a function $f$ whose value at $x$ is given by the expression ${{x}^{2}}-1$. After we say that, "$f$" is a name for the function.
See Functions: images and metaphors.
You can also give names to symbolic assertions.
Using notation such as “$P(x)$” for statements occurs mostly but not entirely in texts on logic. (This claim needs lexicographical research.) An overview of its use in first-order logic is given in Mathematical reasoning. See also the Wikipedia articles on various kinds of logic:
Algebraic terms are encapsulated computations.
A symbolic expression in algebra is both of these things: |
If you are fairly proficient in algebra, you already know this subconsciously about algebraic expressions.
Most math objects can be combined into new constructions, making expressions like algebraic expressions except that the variables represent structures or objects instead of numbers. Groups, various kinds of spaces, and lots of math objects you never heard of can be combined into "products" and "coproducts", and many of them have "quotients", "function spaces" and other constructions. Most Wikipedia articles about important kinds of math objects describe some of these constructions. The expressions representing such things can still be thought of as both an encapsulated computation and as the name of another math object.
Symbolic expressions such as "$4(x-2)=3$" and the very similar looking "$4x-2=3$" have different abstract structures. The difference results in different solutions: $x=11/4$ and $x=5/4$ respectively. The abstract structures are largely invisible, with the only hint about the difference being the presence or absence of parentheses.
There are other ways to exhibit symbolic expressions that make the abstract structure much more obvious. One way is to use trees . Examples of the tree representation of expressions are given in the following posts in Gyre&Gimble:
I expect to include examples like these in a future revision of this article.
In symbolic expressions, the symbols and the arrangement of the symbols both communicate meaning.
An expression may contain several subexpression s . The rules for forming expressions and the use of delimiters let you determine the subexpressions.
A phrase in math English can be a subexpression of a symbolic expression.
Symbolic expressions in texts are usually embedded in sentences in math English, although they may stand independently.
Embedded symbolic expressions in math English involves a remarkable number of subtleties. Teachers almost never tell you about these subtleties. The abstractmath article Embedding reveals a few of these secrets. Generally, students learn these facts unconsciously. Some don't, and those generally don't become math majors.
The expression $xy+z$ means $(xy)+z$, not $x(y+z)$. This is an illustration of the principle that in an algebraic expression, multiplication is performed first, then addition . We say multiplication has a higher precedence that addition.
When two operations have the same precedence, the operations should be done from left to right. The mnemonic “Please Excuse My Dear Aunt Sally” (PEMDAS) describes the order of the common operations:
The names of functions of one variable generally have the highest precedence, except for unary minus , which has lowest precedent.
The symbolic language of math has developed over the centuries the way natural languages do. In particular, the symbolic language, like English, has definite rules and it has irregularities.
In English, the plural of a noun is normally formed by adding “s” or “es” according to fairly precise rules. (The plural of car is cars, the plural of loss is losses.)
But English rules have exceptions . Think mouse/mice (instead of mouses) and hold/held (instead of holded for the past tense). .
The symbolic language of math has a lot of rules too. In the symbolic language, the symbol for a function is usually put to the left of the input ( argument ) and the input is put in parentheses. For example if $f$ is the function defined by $f(x)=x+1$, then the value of $f$ at $3$ is denoted by $f(3)$ (which of course evaluates to $4$.)
Just as English has irregular plurals and past tenses, the symbolic language has irregular syntax for certain expressions. Here are two of many examples of irregularities.
There are many other examples of irregularities in symbolic notation in these places:
Other sections of this chapter are in separate files:
This work is licensed under a Creative Commons Attribution-ShareAlike 2.5 License .
Welcome, Fellow Math Enthusiast! I’m so happy you’re here!
Teaching with Jillian Starr
teaching little stars to shine brightly
First grade teachers, access 20 FREE Number Talk Prompts to enhance your place value unit and get your students engaged in conversation.
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, the range of visual representations we want to encourage with our students, and how we can use numerals and operations to represent thinking symbolically . 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.
Today we are talking about verbal representations. While it’s an essential form of representation for our students, it is often less discussed. This is likely due to the fact that it is not explicitly called out in the Concrete-Pictorial Abstract model . This is just another reason why I love introducing teachers to Lesh’s translation model alongside the CPA (often called CRA) model.
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 interaction with peers will help learners clarify their own thinking.”
If we go back to our previous examples from concrete, visual, and abstract thinking, we have a student with five yellow counters and four red counters. The student then sketched their counters and wrote the number sentence 5+4=9 on their paper.
So how does verbal representation come into play? Perhaps after the activity, a student shows you their sketch of the counters. When you ask them about their drawing, they may share “I had nine counters. Four of them were red and five of them were yellow, and that makes nine.” That statement is a verbal representation of the concept. They have also just translated their visual representation to a verbal representation.
If wanted, we could take it a step further by asking the student to write their thoughts down. This will require the student to revisit their thoughts communicated orally and condense them into a written description, like “Four counters and five counters make nine counters.” This extra step of condensing their language into a second form, allowed students to connect two verbal representations. WOW!
Verbal representation is essential to our work, especially in the early grades. Our students who may not have the ability to write words or numbers will often communicate their understanding orally. This NEEDS to be a part of the discussion when we talk about deepening student understanding, and it’s a huge reason why I make sure to consider Lesh’s Translation Model in addition to the Concrete-Pictorial-Abstract model.
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 , Part Two about Visual Representations , or Part Three about Symbolic Representations , check them out so you have all of the info you need before we move on!
Leave a comment.
Your email address will not be published. Required fields are marked *
This site uses Akismet to reduce spam. Learn how your comment data is processed .
Ready to go deeper?
I’m so happy you’re here. I want every child to feel confident in their math abilities, and that happens when every teacher feels confident in their ability to teach math.
In my fifteen years of teaching, I sought every opportunity to learn more about teaching math. I wanted to know HOW students develop math concepts, just like I had been taught how students learn to read. I want every teacher to experience the same math transformation I did, and have the confidence to teach any student that steps foot in their classroom. I’m excited to be alongside you in your math journey!
Let's get started.
You will learn to represent functions in different forms and use your graphing calculator to find equations that match different graphs.
TEKS Standards and Student Expectations
A(2) Linear functions, equations, and inequalities. The student applies the mathematical process standards when using properties of linear functions to write and represent in multiple ways, with and without technology, linear equations, inequalities, and systems of equations. The student is expected to:
A(2)(C) write linear equations in two variables given a table of values, a graph, and a verbal description
A(7) Quadratic functions and equations. The student applies the mathematical process standards when using graphs of quadratic functions and their related transformations to represent in multiple ways and determine, with and without technology, the solutions to equations. The student is expected to:
A(7)(A) graph quadratic functions on the coordinate plane and use the graph to identify key attributes, if possible, including x -intercept, y -intercept, zeros, maximum value, minimum values, vertex, and the equation of the axis of symmetry
Resource Objective(s)
Given the graph of a linear or quadratic function, the student will write the symbolic representation of the function.
Essential Questions
What are the different forms of linear functions?
How can a graphing calculator be used to match a graph to a linear equation?
How is a quadratic equation different from a linear equation?
Introduction.
This table shows the three different ways to represent linear functions .
slope-intercept form | = m + b |
point-slope form | – = m( – ) |
standard form | A – B = C |
We’ll first look at slope-intercept form . Remember that the slope is the rise over the run (i.e., the change in y -value over the change in x -value.)
To review slope-intercept form, use this linked interactive activity . Move the sliders one at a time to change the slope (the y -intercept). After you have experimented with the activity, answer the questions below.
Even the best mathematicians need ways to check their work. We’re going to use the graphing calculator to make sure we have the correct answer.
If you need a graphing calculator, you can use an online calculator here .
Which equation best describes the following graph?
If you are not sure of the answer, you can use your calculator three different ways to double check. You should learn all three methods because there will be times when one of the methods will not be obvious.
We will try option C: y = 3/4 x + 5.
Method 1: Match the Graph
You can use your graphing calculator to look at a graph of an equation by following these steps:
The graph on the calculator looks similar to the given graph, but we can’t be sure. We certainly can tell the line is increasing. Options A and B are definitely wrong because they have a negative slope.
Method 2: Match the Graph to the Table
You can also use your graphing calculator to match the table of values from an equation by following these steps:
You can see that the two points (0, 5) and (4, 8) are on the line and in the table.
Method 3: Match Points on a Graph Using TRACE
You can also use the graphing calculator to find points on the line using the following steps:
We can see that the point (-4, 2) is on the graph, so we'll use the TRACE button to find where x equals -4.
The point is on the line. Just to be sure, we will try another point at (-8, -1)
This point is also on the line. Now we know that option C is correct.
What if the equation is not in slope-intercept form? This is a standard form equation.
Ax + By = C
You can manipulate the equation, so you can use the graphing calculator to check your answer .
Forms of Linear Equations
To change a standard form equation to a slope-intercept form, you must isolate the variable y on the left side of the equation.
You can review the steps to change an equation from standard form to slope-intercept form in these 2 examples.
Example 1: Standard form to slope-intercept form .
Example 2: Standard form to slope-intercept form .
The following is a typical question you might see that has answer choices in standard form.
Which equation best describes the graph shown below?
A ) x - 2 y = 14 B ) x - 2 y = - 14 C ) x + 2 y = 14 D ) x + 2 y = - 14
Solving each equation for y , the equations are:
A ) y = 1 2 x - 7 B ) y = 1 2 x + 7 C ) y = - 1 2 x + 7 D ) y = - 1 2 x - 7
It seems that the right equation is option B .
When we enter the equation in to the graphing calculator under Y=, we see the following results.
According to this, the points (0, 7), (2, 8) (4, 9) and (6, 10) should all be points on the graph. To check this, we substitute the x - and y -values from these points into x − 2 y = −14.
We know B is correct!
Here is how you know an answer is wrong:
Option D is incorrect because the points (0, 7), (2, 8) (4, 9) and (6, 10) will not satisfy the equation x + 2 y = −14.
Next we will look at writing equations for quadratic functions. This is the form of a quadratic function.
y = a x 2 + b x + c
Quadratic functions are parabolas and either have a U-shape or a mountain shape. Parabolas with a positive "a" value have a U-shape, and those with a negative "a" value have a mountain shape.
In addition, you know how to use a calculator to check for the correct answer, so you can input these equations in the equation editor (Y=) as well.
Which quadratic equation best represents the parabola shown below?
You can test each of the answer choices by using your graphing calculator to eliminate obviously wrong answers.
Each graph looks like this.
Options C and D are obviously wrong because they are facing down.
Now we can look at the table values for the remaining graphs. The graph we were given contains the points (-2, 9), (-1, 6), (0, 5), (1, 6), and (2, 9). Use the TABLE.
Now you can confidently pick option B as your answer.
Remember, you can also use the TRACE key to check points on the graph. Press TRACE, type in the x -value, and press ENTER.
Journal activity.
Copy and paste the link code above.
332 Accesses
2 Citations
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...
This is a preview of subscription content, log in via an institution to check access.
Institutional subscriptions
Anderson C, Scheuer N, Pérez Echeverría MP, Teubal EV (eds) (2009) Representational systems and practices as learning tools. Sense, Rotterdam
Google Scholar
Bruner JS (1966) Toward a theory of instruction. The Belknap Press – Harvard University Press, Cambridge, MA
Common Core State Standards Initiative (2018) Preparing America’s students for success. Retrieved June 2018 from http://www.corestandards.org/
Cuoco AA, Curcio FR (2001) The roles of representation in school mathematics: NCTM 2001 yearbook. National Council of Teachers of Mathematics, Reston
Davis RB (1984) Learning mathematics: the cognitive science approach to mathematics education. Ablex, Norwood
Duval R (2006) A cognitive analysis of problems of comprehension in a learning of mathematics. Educ Stud Math 61:103–131
Article Google Scholar
Goldin GA (1998) Representational systems, learning, and problem solving in mathematics. J Math Behav 17:137–165
Goldin GA (2008) Perspectives on representation in mathematical learning and problem solving. In: English LD (ed) Handbook of international research in mathematics education, 2nd edn. Routledge – Taylor and Francis, London, pp 176–201
Goldin GA, Janvier, C (eds) (1998) Representations and the psychology of mathematics education: parts I and II (special issues). J Math Behav 17(1 & 2)
Goldin GA, Kaput JJ (1996) A joint perspective on the idea of representation in learning and doing mathematics. In: Steffe L, Nesher P, Cobb P, Goldin GA, Greer B (eds) Theories of mathematical learning. Erlbaum, Hillsdale, pp 397–430
Gravemeijer K, Doorman M, Drijvers P (2010) Symbolizing and the development of meaning in computer-supported algebra education. In: Verschaffel L, De Corte E, de Jong T, Elen J (eds) Use of representations in reasoning and problem solving: analysis and improvement. Routledge – Taylor and Francis, London, pp 191–208
Heinze A, Star JR, Verschaffel L (2009) Flexible and adaptive use of strategies and representations in mathematics education. ZDM 41:535–540
Hitt F (ed) (2002) Representations and mathematics visualization. Departamento de Matemática Educativa del Cinvestav – IPN, México
Janvier C (ed) (1987) Problems of representation in the teaching and learning of mathematics. Erlbaum, Hillsdale
Kaput J, Noss R, Hoyles C (2002) Developing new notations for a learnable mathematics in the computational era. In: English LD (ed) Handbook of international research in mathematics education. Erlbaum, Mahwah, pp 51–75
Lesh RA, Doerr HM (eds) (2003) Beyond constructivism: models and modeling perspectives on mathematics problem solving, learning, and teaching. Erlbaum, Mahwah
McClelland JL, Mickey K, Hansen S, Yuan A, Lu Q (2016) A parallel-distributed processing approach to mathematical cognition. Manuscript, Stanford University. Retrieved June 2018 from https://stanford.edu/~jlmcc/papers/
Moreno-Armella L, Sriraman B (2010) Symbols and mediation in mathematics education. In: Sriraman B, English L (eds) Advances in mathematics education: seeking new frontiers. Springer, Berlin, pp 213–232
Moreno-Armella L, Hegedus SJ, Kaput JJ (2008) From static to dynamic mathematics: historical and representational perspectives. Educ Stud Math 68:99–111
National Council of Teachers of Mathematics (2000) Principles and standards for school mathematics. NCTM, Reston
Newell A, Simon HA (1972) Human problem solving. Prentice-Hall, Englewood Cliffs
Novack MA, Congdon EL, Hermani-Lopez N, Goldin-Meadow S (2014) From action to abstraction: using the hands to learn math. Psychol Sci 25:903–910
Palmer SE (1978) Fundamental aspects of cognitive representation. In: Rosch E, Lloyd B (eds) Cognition and categorization. Erlbaum, Hillsdale, pp 259–303
Roth W-M (ed) (2009) Mathematical representation at the interface of body and culture. Information Age, Charlotte
Skemp RR (ed) (1982) Understanding the symbolism of mathematics (special issue). Visible Language 26(3)
van Garderen D, Scheuermann A, Poch A, Murray MM (2018) Visual representation in mathematics: special education teachers’ knowledge and emphasis for instruction. Teach Educ Spec Educ 41:7–23
Download references
Authors and affiliations.
Graduate School of Education, Rutgers University, New Brunswick, NJ, USA
Gerald A. Goldin
You can also search for this author in PubMed Google Scholar
Correspondence to Gerald A. Goldin .
Editors and affiliations.
South Bank University Centre for Mathematics Education, London, United Kingdom
Steve Lerman
Department of Science Teaching, The Weizmann Institute of Science, Rehovot, Israel
Ruhama Even
Reprints and permissions
© 2018 Springer Nature Switzerland AG
Cite this entry.
Goldin, G.A. (2018). Mathematical Representations. In: Lerman, S. (eds) Encyclopedia of Mathematics Education. Springer, Cham. https://doi.org/10.1007/978-3-319-77487-9_103-4
DOI : https://doi.org/10.1007/978-3-319-77487-9_103-4
Received : 15 June 2018
Accepted : 02 July 2018
Published : 28 July 2018
Publisher Name : Springer, Cham
Print ISBN : 978-3-319-77487-9
Online ISBN : 978-3-319-77487-9
eBook Packages : Springer Reference Education Reference Module Humanities and Social Sciences Reference Module Education
Policies and ethics
www.springer.com The European Mathematical Society
2020 Mathematics Subject Classification: Primary: 03-XX Secondary: 01Axx [ MSN ][ ZBL ]
Conventional signs used for the written notation of mathematical notions and reasoning. For example, the notion "the square root of the number equal to the ratio of the length of the circumference of a circle to its diameter" is denoted briefly by $\sqrt{\pi}$, while the statement "the ratio of the length of the circumference of the circle to its diameter is greater than three and ten seventy-firsts and less than three and one seventh" is written as \[ 3 + \frac{10}{71} < \pi < 3 + \frac{1}{7}\, . \]
The development of mathematical notation was intimately bound up with the general evolution of mathematical concepts and methods.
The first mathematical symbols were signs for the depiction of numbers — ciphers , the appearance of which apparently preceded the introduction of written language. The most ancient systems of numbering (see Numbers, representations of ) — the Babylonian and the Egyptian — date back to around 3500 B.C..
The first mathematical symbols for arbitrary quantities appeared much later (from the 5th-4th centuries B.C.) in Greece. Arbitrary quantities (areas, volumes, angles) were represented by the lengths of lines and the product of two such quantities was represented by a rectangle with sides representing the respective factors. In Euclid's Elements (3th century B.C.), quantities are denoted by two letters, the initial and final letters of the corresponding segment, and sometimes by one letter. Dating from Archimedes (287–213 B.C.), the latter device became standard. This mode of notation could potentially have developed into a calculus of letters. In the mathematics of classical Antiquity, however, no operations were carried out on letters and such a letter calculus did not materialize.
The rudiments of letter notation and calculus appeared in the post-Hellenistic era, thanks to the liberation of algebra from its geometric setting. Diophantus (probably 3th century A.D.) denoted the unknown $x$ and its powers by the following symbols: \[ \begin{array}{llllll} x\quad & x^2\quad & x^3\quad & x^4\quad & x^5\quad & x^6\\ \varsigma' &\delta^{\tilde{\upsilon}} &\kappa^{\tilde{\upsilon}} & \delta \delta^{\tilde{\upsilon}}&\delta \kappa^{\tilde{\upsilon}}& \kappa \kappa^{\tilde{\upsilon}} \end{array} \] ($\delta^\tilde{\upsilon}$ — from the Greek term $\delta\upsilon'\nu\alpha\mu\iota\varsigma$, denoting the square of the unknown; $\kappa^{\tilde{\upsilon}}$ — from the Greek $\kappa\upsilon'\beta\omicron\varsigma$, cube). Diophantus wrote coefficients to the right of the unknown or its powers, e.g. $3 x^5$ was denoted by $\delta \kappa^{\tilde{\upsilon}} \bar{\gamma}$ (where $\bar{\gamma} = 3$). Terms to be added together were simply juxtaposed, while subtraction required the special symbol $\wedge$; equality was denoted by the letter $\iota$ (from the Greek $\iota\sigma\omicron\varsigma$, equal). For example, Diophantus would have written the equation \[ (x^3+8x)-(5x^2+1) = x \] as follows: \[ \kappa^{\tilde{\upsilon}}\;\bar{\alpha}\;\varsigma'\; \bar{\eta}\; \bigwedge\; \delta^{\tilde{\upsilon}}\; \bar{\epsilon}\; \mu^0\; \bar{\alpha}\; \iota\; \varsigma'\;\bar{\alpha} \] (here $\bar{\alpha} =1$, $\bar{\eta}=8$, $\bar{\epsilon}=5$ and $\mu^0\bar{\alpha}$ means that the unit $\bar{\alpha}$ is not to be multiplied by a power of the unknown).
Several centuries later, the Indians, who had developed a numerical algebra, introduced various mathematical symbols for several unknowns (abbreviations for the names of colours, which denoted the unknowns), the square, the square root, and the subtrahend. Thus, the equation \[ 3 x^2 + 10x - 8 = x^2 +1 \] was written in Brahmaputra's notation (7th century) as follows:
ya va $3$ ya $10$ ru $8$
ya va $1$ ya $0$ ru $1$
(ya — from yavat — tavat, unknown; va — from varga, squared number; ru — from rupa, a rupee coin — free term; a dot above a number denotes subtraction).
The creation of modern algebraic symbols dates to the 14th–15th centuries; it was conditioned by achievements in practical arithmetic and the study of equations. Symbols for various operations and for powers of an unknown quantity appeared spontaneously in different countries. Many decades — sometimes centuries — elapsed until a specific symbol became accepted as convenient for calculations. Thus, at the end of the 15th century N. Chuquet and L. Pacioli (Fra Luca Pacioli) were using the symbols $p$ and $m$ (from the Latin plus and minus) for addition and subtraction, respectively, while German mathematicians introduced the modern $+$ (probably an abbreviation for the Latin et) and $-$. As late as the 17th century, one could count about ten different symbols for multiplication.
The history of the radical sign is instructive. Following Leonardo Pisano (Leonardo da Pisa) (1220), and up to the 17th century, the symbol $RR$ (from the Latin "radix", i.e. root) was widely employed for "square root" . Chuquet denoted square, cube, etc., roots by $RR^2, RR^3$, etc. In a German manuscript of ca. 1480 the square root is denoted by a dot before the number, the cube root by three dots, and the fourth root by two dots. By 1525 one can already find the symbol $\sqrt{}$ (Ch. Rudolff, sometimes written as K. Rudolff). For higher-order roots, some scholars simply repeated this symbol; others wrote a suitable letter after the symbol (an abbreviation of the name of the exponent), and still others inscribed a suitable figure in a circle or between parentheses or square brackets in order to distinguish it from the number under the radical sign (the horizontal line over the radicand was introduced by R. Descartes, 1637). Only at the beginning of the 18th century did it become customary to write the exponent above the opening of the radical sign; the first appearance of this convention, though, was much earlier (A. Girard, 1629). Thus, the evolution of the radical sign extended over almost 500 years.
Mathematical symbols for an unknown quantity and its powers were highly diverse. During the 16th century and early 17th century, more than ten rival notations were current for just one square of an unknown; among these were ce (from census — the Latin term serving as translation for the Greek term $\delta \upsilon'\nu\alpha\mu \iota\varsigma$), Q (for quadratum), $zz$, $\frac{ii}{1}$, A , $1^2$, $A^{ii}$, aa, $a^2$, etc. G. Cardano (1545) would have written the equation \[ x^3 + 5x = 12 \] as follows: \[ 1 .\; {\rm cubus}\, \square.\;\varsigma\; . {\rm positionibus equantur}\; 12 \] (cubus $=$ cube, positio $=$ unknown, æquantur $=$ equals).
The same equation, written by M. Stifel (1544), would have been: \[ 1+5.\; {\rm aequ}.\; 12 \] by R. Bombelli (1572): \[ 1p\; .\; 5 {\rm eguale\; a\;} 12 \] by F. Viète (1591): \[ 1C + fN,\; {\rm aequatur}\; 12 \] (C $=$ cubus $=$ cube, N $=$ numerus $=$ number);
and by T. Harriot (1631): \[ aaa+5.a=12 \] The 16th century and early 17th century saw the first appearance and use of the equality sign and brackets; square brackets (Bombelli, 1550), parentheses (N. Tartaglia, 1556), and curly brackets (Viète, 1593).
A significant step forward in the development of mathematical notation was Viète's introduction (1591) of capital letters of the Latin alphabet to denote both arbitrary constant quantities and unknowns; consonants, such as B, D, ... were reserved for constants, and vowels A, E, ... for unknowns. This made it possible for the first time to write down algebraic equations with arbitrary coefficients and to operate with them. For example, Viète's equation \[ A\, {\rm cubus}\; +\; B\, {\rm plano}\; {\rm in}\; A3\;.\; {\rm aequatur}\;D\; {\rm solido} \] (cubus $=$ cube, planus $=$ plane, i.e. B is a two-dimensional constant; solidus $=$ solid (three-dimensional); the dimensionality was indicated to ensure homogeneity of the different terms) stands for the following equation in our notation: \[ x^3+3Bx=D\, . \] Viète, then, was the creator of algebraic formulas.
Descartes (1637) gave algebraic notation its modern appearance, denoting unknowns by the last letters of the alphabet $x,y,z$, and arbitrary given quantities by the first letters $a,b,c$. Descartes is also to be credited with the modern notation for powers. As his notation offered considerable advantages over its predecessors, it rapidly gained universal recognition.
The further development of mathematical symbols was intimately connected with the invention of infinitesimal calculus , though the basis had already been prepared to a considerable extent in algebra. I. Newton, in his method of fluxions and fluents (1666 and later), introduced symbols for successive fluxions (derivatives) of a quantity $x$: $\dot{x}$, $\ddot{x}$, and the symbol $o$ for an infinitesimal increment. Somewhat earlier J. Wallis (1655) had proposed the symbol $\infty$ for infinity.
The creator of the modern notation for the differential and integral calculus was G. Leibniz. In particular, it was he who invented the modern differentials $dx, d^2 x, d^3 x$ and the integral \[ \int y\, dx \] It is worth emphasizing the essential advantage of Leibniz' integral symbol over Newton's proposal, namely the incorporation of the $x$. Leibniz's notation $\int y\, dx$, while hinting at the actual process of constructing an integral sum, also includes explicit indication of the integrand and the variable of integration. As a result, the notation $\int y\, dx$ is also suited for writing formulas for transformation of variables and is readily used for multiple and line integrals. Newton's notation does not directly offer such possibilities. Similar remarks hold concerning Leibniz's differential signs as against Newton's signs for fluxions and infinitesimal increments.
L. Euler deserves the credit for a considerable proportion of modern mathematical notation. He introduced the first generally accepted symbol for a variable operation, the function symbol $f x$ (from the Latin functio $=$ function; 1734). Somewhat earlier, the symbol $\phi x$ had been used by J. Bernoulli (1718). After Euler, the symbols for many individual functions (including the trigonometric functions) became standard. Euler was also the first to use the notations $e$ (the base of the natural logarithms, 1736), to spread the notation $\pi$ (probably from the Greek $\pi\epsilon\rho\iota\phi\epsilon\rho\epsilon\iota\alpha$, i.e. circumference, 1736; the notation was borrowed by Euler from H. Jones.), and to introduce the imaginary unit $i$ (from the French "imaginaire" , 1777, published in 1794), which soon gained universal acceptance.
During the 19th century, the role of notation became even more important; as new fields of mathematics were opened up, scholars endeavored to standardize the basic symbols. Some widely employed modern symbols appeared only at that time: the absolute value $|x|$ (K. Weierstrass, 1841), the vector $\vec{v}$ (A. Cauchy, 1853), the determinant \[ \left| \begin{array}{ll} a_1 & a_2\\ b_1 & b_2 \end{array}\right| \] (A. Cayley, 1841), and others. Many of the new theories of the 19th century, such as the tensor calculus, could not have been developed without suitable notation. A characteristic phenomenon in this respect was the increase in the relative proportion of symbols denoting relations, such as the congruence $\equiv$ (C.F. Gauss, 1801), membership $\in$, isomorphism $\cong$, equivalence $\sim$, etc. Symbols for variable relations appeared with the advent of mathematical logic, which makes particularly extensive use of mathematical symbols.
From the point of view of mathematical logic, mathematical symbols can be classified under the following main headings: A) symbols for objects, B) symbols for operations, C) symbols for relations. For example, the symbols 1, 2, 3, 4 denote numbers, i.e., the objects studied in arithmetic. The symbol for the addition operation, $+$, standing on its own, does not denote any object; it takes an objective content only when the numbers to be added are specified: $1+3$ denotes the number $4$. The symbol $>$ (greater) denotes a relation between numbers. A relation symbol assumes a definite content only when the objects that can stand in that specific relation are specified. One further, fourth, group of symbols may be added: D) auxiliary symbols, which determine the order in which the basic symbols are to be combined. A good example of this type of symbol is provided by parentheses, which indicate the order in which arithmetical operations are to be carried out.
The symbols of each of the three main groups A), B), C) are of two kinds: 1) individual symbols for definite objects, operations and relations; and 2) general symbols for "variable" or "unknown" objects, operations and relations. Examples of symbols of the first kind are the following (see also the table in this article):
$A_1$) The notation for the natural numbers 1, 2, 3, 4, 5, 6, 7, 8, 9; the transcendental numbers $e$ and $\pi$; the imaginary unit $i$; etc.
$B_1$) The signs for the arithmetical operations, $+,-,\times, :$; root extraction $\sqrt{}$, $(\cdot)^{1/n}$, differentiation $\frac{d}{dx}$, the Laplace operator \[ \Delta = \frac{\partial^2}{\partial x^2} + \frac{\partial^2}{\partial y^2} + \frac{\partial^2}{\partial z^2} \] This subgroup also contains the individual symbols $\sin$, $\tan$, $\log$, etc.
$C_1$) Equality and inequality signs, $=, >, <, \neq$, the symbols denoting parallel ($||$) and perpendicular ($\perp$), etc.
Symbols of the second kind denote arbitrary objects, operations and relations of a certain class, or objects, operations and relations resulting from some previously mentioned conditions. For example, in the written identity \[ (a+b)(a-b) = a^2 - b^2 \] the letters $a$ and $b$ denote arbitrary numbers; when one is studying the functional dependence \[ y=x^2 \] the letters $y$ and $x$ denote arbitrary numbers standing in the given relation; in the solution of the equation \[ x^2-1=0 \] $x$ denotes any number satisfying the equation (by solving the equation, one knows that there are only two numbers satisfying the condition: $+1$ and $-1$).
From a logical point of view it is quite legitimate to call all symbols of this kind variable symbols, as is customary in mathematical logic (the "domain of variation" of the variable may prove to consist of a single object; it may even be "empty" — e.g. in the case of equations with no solutions). Further examples of this kind of signs are:
$A_2$) Symbols for points, straight lines, planes, and more complex geometrical figures, denoted in geometry by letters.
$B_2$) Notations such as $f,F,\phi$ for functions and notations in operator calculus, when one letter <$L$ may be used to denote, say, an arbitrary operator of the form \[ L[y] = a_0 y + a_1 \frac{dy}{dx} + \ldots + a_n \frac{d^n y}{dx^n}\, . \] Symbols for "variable relations" are less common; they find application only in mathematical logic and in comparatively abstract, primarily axiomatic, branches of mathematics.
Symbol | Meaning | Introduced by | Year |
$\infty$ | infinity | J. Wallis | 1655 |
$e$ | base of the natural logarithms | L. Euler | 1736 |
$\pi$ | ratio of the length of a circumference to the diameter | W. Jones | 1706 |
$i$ | square toot of $-1$ | L. Euler | 1777 (pubbl. 1794) |
$i,j,k$ | unit vectors | W. Hamilton | 1853 |
$\Pi (\alpha)$ | angle of parallelism | N.I. Lobachevskii | 1835 |
$x,y,z$ | Unknown or variable quantities | R. Descartes | 1637 |
$\vec{v}$ | vector | A.L. Cauchy | 1853 |
$+, -$ | addition, subtraction | German mathematicians | end of XV cent. |
$\times$ | multiplication | W. Oughtred | 1631 |
$\cdot$ | multiplication | G. Leibniz | 1698 |
$:$ | division | G. Leibniz | 1684 |
$a^2, \ldots, a^n$ | powers | R. Descartes | 1637 |
$\sqrt{}$ | square root | K. Rudolff | 1525 |
$\sqrt[n]{}$ | roots | A. Girard | 1629 |
${\rm Log}$ | logarithm | J. Kepler | 1624 |
${\rm log}$ | logarithm | B. Cavalieri | 1632 |
$\sin$ | sine | L. Euler | 1748 |
$\cos$ | cosine | L. Euler | 1748 |
${\rm tg}$ | tangent | L. Euler | 1753 |
$\tan$ | tangent | L. Euler | 1753 |
$\arcsin$ | arcsine | J. Lagrange | 1772 |
${\rm Sh}$ | hyperbolic sine | V. Riccati | 1757 |
${\rm Ch}$ | hyperbolic cosine | V. Riccati | 1757 |
$dx, ddx, d^2 x, d^3 x, \ldots$ | differentials | G. Leibniz | 1675 (publ. 1684) |
$\int y\, dx$ | integral | G. Leibniz | 1675 (publ. 1684) |
$\frac{d}{dx}$ | derivative | G. Leibniz | 1675 |
$f', y', f'x$ | derivative | J. Lagrange | 1770-1779 |
$\Delta x$ | difference, increment | L. Euler | 1755 |
$\frac{\partial}{\partial x}$ | partial derivative | A. Legendre | 1786 |
$\int_a^b f(x)\, dx$ | definite integral | J. Fourier | 1819-1820 |
$\sum$ | sum | L. Euler | 1755 |
$\prod$ | product | C.F. Gauss | 1812 |
$!$ | factorial | Ch. Kramp | 1808 |
$|x|$ | absolute value | K. Weierstrass | 1841 |
$\lim$ | limit | S. l'Huillier | 1786 |
$\lim_{n=\infty}$ | limit | W. Hamilton | 1853 |
$\lim_{n\to\infty}$ | limit | various mathematicians | beg. of 20th cent. |
$\zeta$ | zeta-function | B. Riemann | 1857 |
$\Gamma$ | gamma-function | A. Legendre | 1808 |
$B$ | beta-function | J. Binet | 1839 |
$\Delta$ | Laplace operator | R. Murphy | 1833 |
$\nabla$ | nabla, Hamilton operator | W. Hamilton | 1853 |
$\phi x$ | function | J. Bernoulli | 1718 |
$f x$ | function | L. Euler | 1734 |
$=$ | equality | R. Recorde | 1557 |
$>, <$ | greater than, smaller than | T. Harriot | 1631 |
$\equiv$ | congruence | C.F. Gauss | 1801 |
$||$ | parallel | W. Oughtred | 1677 (post. publ.) |
$\perp$ | perpendicular | P. Hérigone | 1634 |
[Bo] | C.B. Boyer, "A history of mathematics" , Wiley (1968) |
[Ca] | F. Cajori, "A history of mathematical notations" , , Open Court (1952–1974) |
[Kl] | M. Kline, "Mathematical thought from ancient to modern times" , Oxford Univ. Press (1972) |
P atterns and r elationships, m athematics, s cience, and t echnology, m athematical i nquiry.
This chapter focuses on mathematics as part of the scientific endeavor and then on mathematics as a process, or way of thinking. Recommendations related to mathematical ideas are presented in Chapter 9, The Mathematical World, and those on mathematical skills are included in Chapter 12, Habits of Mind.
Unity of ideas, interaction of theory and applications.
The results of theoretical and applied mathematics often influence each other. The discoveries of theoretical mathematicians frequently turn out—sometimes decades later—to have unanticipated practical value. Studies on the mathematical properties of random events, for example, led to knowledge that later made it possible to improve the design of experiments in the social and natural sciences. Conversely, in trying to solve the problem of billing long-distance telephone users fairly, mathematicians made fundamental discoveries about the mathematics of complex networks. Theoretical mathematics, unlike the other sciences, is not constrained by the real world, but in the long run it contributes to a better understanding of that world.
Universality of mathematics, science and mathematics.
Such abstraction enables mathematicians to concentrate on some features of things and relieves them of the need to keep other features continually in mind. As far as mathematics is concerned, it does not matter whether a triangle represents the surface area of a sail or the convergence of two lines of sight on a star; mathematicians can work with either concept in the same way. The resulting economy of effort is very useful—provided that in making an abstraction, care is taken not to ignore features that play a significant role in determining the outcome of the events being studied.
Typically, strings of symbols are combined into statements that express ideas or propositions. For example, the symbol A for the area of any square may be used with the symbol s for the length of the square's side to form the proposition A = s 2 . This equation specifies how the area is related to the side—and also implies that it depends on nothing else. The rules of ordinary algebra can then be used to discover that if the length of the sides of a square is doubled, the square's area becomes four times as great. More generally, this knowledge makes it possible to find out what happens to the area of a square no matter how the length of its sides is changed, and conversely, how any change in the area affects the sides.
Mathematical insights into abstract relationships have grown over thousands of years, and they are still being extended—and sometimes revised. Although they began in the concrete experience of counting and measuring, they have come through many layers of abstraction and now depend much more on internal logic than on mechanical demonstration. In a sense, then, the manipulation of abstractions is much like a game: Start with some basic rules, then make any moves that fit those rules—which includes inventing additional rules and finding new connections between old rules. The test for the validity of new ideas is whether they are consistent and whether they relate logically to the other rules.
Mathematical processes can lead to a kind of model of a thing, from which insights can be gained about the thing itself. Any mathematical relationships arrived at by manipulating abstract statements may or may not convey something truthful about the thing being modeled. For example, if 2 cups of water are added to 3 cups of water and the abstract mathematical operation 2+3 = 5 is used to calculate the total, the correct answer is 5 cups of water. However, if 2 cups of sugar are added to 3 cups of hot tea and the same operation is used, 5 is an incorrect answer, for such an addition actually results in only slightly more than 4 cups of very sweet tea. The simple addition of volumes is appropriate to the first situation but not to the second—something that could have been predicted only by knowing something of the physical differences in the two situations. To be able to use and interpret mathematics well, therefore, it is necessary to be concerned with more than the mathematical validity of abstract operations and to also take into account how well they correspond to the properties of the things represented.
Evaluating Results
Sometimes common sense is enough to enable one to decide whether the results of the mathematics are appropriate. For example, to estimate the height 20 years from now of a girl who is 5' 5" tall and growing at the rate of an inch per year, common sense suggests rejecting the simple "rate times time" answer of 7' 1" as highly unlikely, and turning instead to some other mathematical model, such as curves that approach limiting values. Sometimes, however, it may be difficult to know just how appropriate mathematical results are—for example, when trying to predict stock-market prices or earthquakes.
Often a single round of mathematical reasoning does not produce satisfactory conclusions, and changes are tried in how the representation is made or in the operations themselves. Indeed, jumps are commonly made back and forth between steps, and there are no rules that determine how to proceed. The process typically proceeds in fits and starts, with many wrong turns and dead ends. This process continues until the results are good enough.
But what degree of accuracy is good enough? The answer depends on how the result will be used, on the consequences of error, and on the likely cost of modeling and computing a more accurate answer. For example, an error of 1 percent in calculating the amount of sugar in a cake recipe could be unimportant, whereas a similar degree of error in computing the trajectory for a space probe could be disastrous. The importance of the "good enough" question has led, however, to the development of mathematical processes for estimating how far off results might be and how much computation would be required to obtain the desired degree of accuracy.
Symbolic representation.
Other forms: symbolic representations
Whether you’re a teacher or a learner, vocabulary.com can put you or your class on the path to systematic vocabulary improvement..
IMAGES
VIDEO
COMMENTS
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 ...
Symbolic representation is the use of symbols to represent logical expressions and relationships in algebraic logic. It allows for the formalization of logical arguments and the manipulation of these expressions using algebraic techniques, making it easier to analyze complex logical structures. This concept has played a crucial role in the historical development of algebraic logic, bridging ...
Symbolic representation in mathematics is the practice of using symbols to express mathematical ideas. Symbols can represent numbers (like '1' or 'π'), operations (such as '+' for addition or '−' for subtraction), relations (like '=' for equality or '≤' for less than or equal to), or functions (such as 'f (x ...
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 ...
Examples: A. The function f giving the number of external sides in a "square train" with n squares is given by f ( n ) = 2 n + 2 . B. The function f giving the number of external sides in a "hexagon train" with n hexagons is given by f ( n ) = 4 n + 2 . C. The function f assigning to each counting number n the sum of the first n odd.
symbolic representation. A form of knowledge representation in which arbitrary symbols or structures are used to stand for the things that are represented, and the representations therefore do not resemble the things that they represent. Natural language (apart from onomatopoeic expressions) is the most familiar example of symbolic representation.
Symbolic form is widely used in mathematics because it allows for precise and concise communication of mathematical ideas, making it easier to represent mathematical relationships and solve problems. It is a fundamental tool in algebra, calculus, logic, and other branches of mathematics. More Answers:
Key Concepts. An equation is a statement that shows that two expressions are equivalent. An equal sign (=) is used between the two expressions to indicate that they are equivalent. You can think of the two expressions as being "balanced.". An inequality is a statement that shows that two expressions are unequal.
Symbolic representations in the form of tag clouds (or word clouds) have become a widely used design to visualize the frequency distribution of keyword metadata that describe the content of documents. In the particular case of website content, tag clouds have been used as a navigation aid ever since the early Web 2.0 websites and blogs.
A symbolic assertion is a complete statement that stands alone as a sentence. A symbolic assertion says something. Symbolic assertions play the same role in the symbolic language as assertions do in math English. A symbolic assertion may contain variables and it may be true for some values of the variables and false for others. Examples
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 ...
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 ...
Mathematical notation consists of using symbols for representing operations, unspecified numbers, relations, and any other mathematical objects and assembling them into expressions and formulas.Mathematical notation is widely used in mathematics, science, and engineering for representing complex concepts and properties in a concise, unambiguous, and accurate way.
Teaching Strategies: Rule of Four. "High school students' algebra experience should enable them to create and use tabular, symbolic, graphical, and verbal representations…". So begins the opening paragraph below the heading, "Understand patterns, relations, and functions" on page 297 of Principles and Standards for School Mathematics.
Go to Y=. Enter the equation. Use 2nd Graph to view the table. You can see that the two points (0, 5) and (4, 8) are on the line and in the table. Method 3: Match Points on a Graph Using TRACE. You can also use the graphing calculator to find points on the line using the following steps: Go to Y=. Enter the equation.
A mathematical symbol is a figure or a combination of figures that is used to represent a mathematical object, an action on mathematical objects, a relation between mathematical objects, or for structuring the other symbols that occur in a formula.As formulas are entirely constituted with symbols of various types, many symbols are needed for expressing all mathematics.
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 ...
Figure 1. As students become engaged in doing mathematics, the mathematics they are learning is enhanced through experiences with varied representations. The focus here is to recognize the importance of particular instructional considerations as you plan for and use representations. The choices you make regarding student use of the types of ...
2020 Mathematics Subject Classification: Primary: 03-XX Secondary: 01Axx [][] Conventional signs used for the written notation of mathematical notions and reasoning. For example, the notion "the square root of the number equal to the ratio of the length of the circumference of a circle to its diameter" is denoted briefly by $\sqrt{\pi}$, while the statement "the ratio of the length of the ...
Abstraction and Symbolic Representation Mathematical thinking often begins with the process of abstraction—that is, noticing a similarity between two or more objects or events. Aspects that they have in common, whether concrete or hypothetical, can be represented by symbols such as numbers, letters, other marks, diagrams, geometrical ...
To analyze an argument with a truth table: Represent each of the premises symbolically. Create a conditional statement, joining all the premises to form the antecedent, and using the conclusion as the consequent. Create a truth table for the statement. If it is always true, then the argument is valid. Example 3.
learning mathematics. Representation is a sign or combination of signs, characters, diagram, objects, pictures, or graphs, which can be utilized in teaching and learning mathematics. Normally, there are four modes of representations in the domain of mathematics: (1) verbal, (2) graphic (3) algebraic, and (4) numeric.
something visible that by association or convention represents something else that is invisible