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Mathematical visualization

Mathematical visualization is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Mathematical visualization rather than just read about it. In short: Mathematical phenomena can be understood and explored via visualization. Classically, this consisted of two-dimensional drawings or building three-dimensional models (particularly plaster models in the 19th and early 20th century).

Mathematical visualization — main illustration
Mathematical visualization — illustration

Key takeaways

  • Mathematical visualization belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Mathematical visualization to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Mathematical visualization from memory before moving on to harder problems.

Reference excerpt

Mathematical phenomena can be understood and explored via visualization. Classically, this consisted of two-dimensional drawings or building three-dimensional models (particularly plaster models in the 19th and early 20th century). In contrast, today it most frequently consists of using computers or calculators to make static two- or three-dimensional drawings, animations, or interactive programs. Writing software programs to visualize mathematics is an aspect of computational geometry.

Applications Mathematical visualization is used throughout mathematics, particularly in the fields of geometry and analysis. Notable examples include plane curves, space curves, polyhedra, ordinary differential equations, partial differential equations (particularly numerical solutions, as in fluid dynamics or minimal surfaces such as soap films), conformal maps, fractals, and chaos. Visualization is mostly helpful in understanding a problem and many methods can be applied to visualize almost all branches in mathematics. Visualization cannot be used as proof in mathematics but is often used to demonstrate changes and steps in proofs.

Geometry Geometry can be defined as the study of shapes their size, angles, dimensions and proportions. The visualization of geometry, geometrical problems, proofs, expressions etc. often accompany the topics. Various parts of geometry are reliant on visualization. In non-Euclidean geometry and other such fields where mathematical approaches needn't make sense intuitively, visualization helps. Visualization of geometry was mostly done by 2D-drawings by hand for a long time, but since the 1960s advancements in computational power have led to the development of increasingly powerful geometrical calculators and visualizers whose purposes extend beyond mathematics and plays more of a fundamental role in many industries.

Linear algebra Linear algebra is the branch of mathematics that deals with linear equations, inequalities, linear maps etc. Visualization of algebra is mostly done using graphs, using points, lines, areas etc. to represent various parameters of problems. Graphing calculators can take inputs as expressions and plot graphs that visualize their functions. Desmos is a browser based graphing calculator.

Complex analysis

In complex analysis, functions of the complex plane are inherently 4-dimensional, but there is no natural geometric projection into lower dimensional visual representations. Instead, colour vision is exploited to capture dimensional information using techniques such as domain coloring.

Chaos theory Chaos theory is a branch of mathematics that deals with understanding non-linear systems and initial conditions, it deals with random and unpredictable behavior. Visualizations in chaos theory are done mostly using bifurcation diagrams and phase plots.

Topology

Many people have vivid mental imagination for topology and how topology interacts with the world. The inability to render a strong mental image is known as aphantasia, some experience extraordinarily strong mental imagery, called hyperphantasia. Researchers are studying how these two conditions arise through changes in the wiring of the brain. Visualization played an important role at the beginning of topological knot theory, when polyhedral decompositions were used to compute the homology of covering spaces of knots. Extending to 3 dimensions the physically impossible Riemann surfaces used to classify all closed orientable 2-manifolds, Heegaard's 1898 thesis "looked at" similar structures for functions of two complex variables, taking an imaginary 4-dimensional surface in Euclidean 6-space (corresponding to the function f=x^2-y^3) and projecting it stereographically (with multiplicities) onto the 3-sphere. In the 1920s Alexander and Briggs used this technique to compute the homology of cyclic branched covers of knots with 8 or fewer crossings, successfully distinguishing them all from each other (and the unknot). By 1932 Reidemeister extended this to 9 crossings, relying on linking numbers between branch curves of non-cyclic knot covers. The fact that these imaginary objects have no "real" existence does not stand in the way of their usefulness for proving knots distinct. It was the key to Perko's 1973 discovery of the duplicate knot type in Little's 1899 table of 10-crossing knots.

Graph theory

Permutation groups have nice visualizations of their elements that assist in explaining their structure—e.g., the rotated and flipped regular p-gons that comprise the dihedral group of order 2p. They may be used to "see" the relationships among linking numbers between branch curves of dihedral covering spaces of knots and links.

Combinatorics

Cellular automata

Stephen Wolfram's book on cellular automata, A New Kind of Science (2002), is one of the most intensely visual books published in the field of mathematics. It has been criticized for being too heavily visual, with much information conveyed by pictures that do not have formal meaning.

Computation

Other examples

Proofs without words have existed since antiquity, as in the Pythagorean theorem proof found in the Zhoubi Suanjing Chinese text which dates from 1046 BC to 256 BC. The Clebsch diagonal surface demonstrates the 27 lines on a cubic surface.

Sphere eversion – that a sphere can be turned inside out in 3 dimension if allowed to pass through itself, but without kinks – was a startling and counter-intuitive result, originally proven via abstract means, later demonstrated graphically, first in drawings, later in computer animation. The cover of the journal The Notices of the American Mathematical Society regularly features a mathematical visualization.

See also Geometry Center Mathematical diagram Parametric surface List of mathematical art software

References

External links Virtual Math Museum

Illustrations

Mathematical visualization: The Mandelbrot set, one of the most famous examples of mathematical visualization.
The Mandelbrot set, one of the most famous examples of mathematical visualization.
Mathematical visualization: An illustration of Desargues' theorem, an important result in Euclidean and projective geometry
An illustration of Desargues' theorem, an important result in Euclidean and projective geometry
Mathematical visualization: In three-dimensional Euclidean space, these three planes represent solutions of linear equations, and their intersection represents the set of common solutions: in this case, a unique point. The blue line is the common solution to two of these equations.
In three-dimensional Euclidean space, these three planes represent solutions of linear equations, and their intersection represents the set of common solutions: in this case, a unique point. The blue line is the common solution to two of these equations.
Mathematical visualization: Domain coloring of:f(x) = .mw-parser-output .sfrac{white-space:nowrap}.mw-parser-output .sfrac.tion,.mw-parser-output .sfrac .tion{display:inline-block;vertical-align:-0.5em;font-size:85%;text-align:center;margin-left:.1em;margin-right:.1em}.mw-parser-output .sfrac .num{display:block;border-bottom:1px solid}.mw-parser-output .sfrac .den{display:block;line-height:1.5em}.mw-parser-output .sr-only{border:0;clip:rect(0,0,0,0);clip-path:polygon(0px 0px,0px 0px,0px 0px);height:1px;margin:-1px;overflow:hidden;padding:0;position:absolute;width:1px}⁠(x2−1)(x−2−i)2/x2+2+2i⁠
Domain coloring of:f(x) = .mw-parser-output .sfrac{white-space:nowrap}.mw-parser-output .sfrac.tion,.mw-parser-output .sfrac .tion{display:inline-block;vertical-align:-0.5em;font-size:85%;text-align:center;margin-left:.1em;margin-right:.1em}.mw-parser-output .sfrac .num{display:block;border-bottom:1px solid}.mw-parser-output .sfrac .den{display:block;line-height:1.5em}.mw-parser-output .sr-only{border:0;clip:rect(0,0,0,0);clip-path:polygon(0px 0px,0px 0px,0px 0px);height:1px;margin:-1px;overflow:hidden;padding:0;position:absolute;width:1px}⁠(x2−1)(x−2−i)2/x2+2+2i⁠
Mathematical visualization: A plot of the Lorenz attractor for values r = 28, σ = 10, b = 8/3
A plot of the Lorenz attractor for values r = 28, σ = 10, b = 8/3

Worked examples

Example 1 — a first encounter with Mathematical visualization

Start with the simplest possible case. Write down what Mathematical visualization claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Mathematical visualization before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Mathematical visualization ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Mathematical visualization

In research
Mathematical visualization appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Mathematical visualization in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Mathematical visualization is common in secondary-school and first-year university syllabi. It links to neighbouring topics Geometry, Visualization (graphics), so understanding it makes those chapters shorter.
In everyday life
Look for Mathematical visualization outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Mathematical visualization in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Mathematical visualization means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Mathematical visualization out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Mathematical visualization in simple terms?

Mathematical phenomena can be understood and explored via visualization. Classically, this consisted of two-dimensional drawings or building three-dimensional models (particularly plaster models in the 19th and early 20th century).

Why does Mathematical visualization matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Mathematical visualization?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Mathematical visualization.

Tags

  • Geometry
  • Visualization (graphics)

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