Visualization techniques for proofs: Implications for enhancing conceptualization and understanding in mathematical analysis

Jonatan Muzangwa, Ugorji Ogbonnaya

Abstract


Visual images are frequently utilized to elucidate concepts in general mathematics and geometry; however, their application in mathematical analysis remains uncommon. This paper demonstrates how visual imagery can enhance the proof of certain theorems in mathematical analysis. It emphasizes the importance of visualization in the learning and understanding of mathematical concepts, particularly within mathematical analysis, where diagrams are seldom employed. The paper focuses on the reasoning processes used by mathematicians in proving selected fundamental theorems of mathematical analysis. It provides illustrative examples where visual images are instrumental in performing specific subtasks within proof development and in completing the proofs. The proofs discussed include the sum of the first natural numbers, the sum rule of integration, the mean value theorem for derivatives, the mean value theorem for integrals, and Young’s Inequality. This paper underscores that visual images serve not only as persuasive tools but also as bridges between symbolic representations and real-world understanding.

Keywords


definite integrals; imagery; mathematical analysis; mean value theorem; visualisation

Full Text:

PDF

References


Ahmad, F. A. R. O. B. (2021). The effect of augmented reality in improving visual thinking in mathematics of 10th-grade students in Jordan. International Journal of Advanced Computer Science and Applications, 12(5), 352-360. https://dx.doi.org/10.14569/IJACSA.2021.0120543

Arcavi, A. (2003). The role of visualisation in the learning of mathematics. Educational Studies in Mathematics, 53(2), 215-241. http://dx.doi.org/10.1023/A:1024312321077

Barbosa, A., & Vale, I. (2021). A visual approach for solving problems with fractions. Education Sciences, 11(11), 1-18. https://doi.org/10.3390/educsci11110727

Barker-Plummer, D., & Bailin, S. C. (1997). The role of diagrams in mathematical proofs. Machine Graphics and Vision, 6(1), 25-56. https://www.researchgate.net/publication/2255769_The_Role_of_Diagrams_in_Mathematical_Proofs

Barwise, J., & Etchemendy, J. (2019). Visual information and valid reasoning. In Philosophy and the Computer (pp. 160-182). Routledge.

Bicer, A., Chamberlin, S. A., Matute, K., Jackson, T., & Krall, G. (2023). The relationship between pre-service teachers’ spatial thinking ability and their mathematical creativity in the context of problem posing. Research in Mathematics Education, 1-25. https://doi.org/10.1080/14794802.2023.2201619

Browne, E. (2022). From instrumental to relational understanding. Australian Mathematics Education Journal, 4(4), 34-36. https://doi.org/10.3316/882190989161394

Coessens, K., François, K., & Van Bendegem, J. P. (Eds.). (2021). Understanding without words: visual representations in math, science and art. Production, Precentation, and Acceleration of Educational Research: Could Less be More? (Vol. 11). https://doi.org/10.1007/978-981-16-3017-0_9

Demeke, E. (2016). Normative judgments attached to mathematical proofs. Philosophy of mathematics education journal, (30), 11-16.

Eisenberg, T., & Dreyfus, T. (1991). On the reluctance to visualize in mathematics in Zimmermann & Cunningham. In Visualization in teaching and learning mathematics. (pp. 25-37).

Engelbrecht, J. (2010). Adding structure to the transition process to advanced mathematical activity. International Journal of Mathematical Education in Science and Technology, 41(2), 143-154. https://doi.org/10.1080/00207390903391890.

Foo, N. Y., Pagnucco, M., & Nayak, A. C. (1999). Diagrammatic proofs. IJCAI (pp. 378-383). https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=97d896f5d9e625b799340d675557958625ff0ef2

Gates, P. (2018). The importance of diagrams, graphics and other visual representations in stem teaching. In R. Jorgensen & K. Larkin (Eds.), STEM Education in the Junior Secondary: The state of play, 169-196. https://doi.org/10.1007/978-981-10-5448-8_9

Giaquinto, M. (2011). Crossing curves: a limit to the use of diagrams in proofs Philosophia Mathematica, 19(3), 281-307. https://doi.org/10.1093/philmat/nkr023

Gilson, L. L., & Goldberg, C. B. (2015). Editors’ comment: so, what is a conceptual paper? , 40(2), 127-130. https://doi.org/10.1177/1059601115576425

Goldstein, B. (2011). Cognitive Psychology: Connecting Mind, Research, and Everyday Experience. 3rd Edision. CogLab Manual: Daniel Vanhorn.

Grouws, D. A. (1992). Handbook of Research on Mathematical Teaching and Learning. A project of the National Council of Teachers of Mathematics. MacMillan.

Guncaga, J., Zawadowski, W., & Prodromou, T. (2019). Visualisation of Selected Mathematics Concepts with Computers - the Case of Torricelli's Method and Statistics. European Journal of Contemporary Education, 8(1), 69-91. https://doi.org/10.13187/ejced.2019.1.69

Guzman, M. (2002, July 1-6). The Role of Visualization in the teaching and learning of Mathematics Analysis. International Conference on the Teaching of Mathematics (at the Undergraduate Level), Hersonissos, Crete, Greece.

Hadamard, J. (1945). The psychology of invention in the mathematical field. . Princeton University Press.

Hanna, G. (1991). Mathematical proof. In Advanced mathematical thinking (pp. 54-61). Springer.

Kaitera, S., & Harmoinen, S. (2022). Developing Mathematical Problem-Solving Skills in Primary School by Using Visual Representations on Heuristics. LUMAT: International Journal on Math, Science and Technology Education, 10(2), 111-146. https://doi.org/10.31129/LUMAT.10.2.1696

Kell, H. J., Lubinski, D., Benbow, C. P., & Steiger, J. H. (2013). Creativity and technical innovation: Spatial ability’s unique role. Psychological science, 24(9), 1831-1836. https://doi.org/10.1177/0956797613478615

Kraus, S., Breier, M., Lim, W. M., Dabi?, M., Kumar, S., Kanbach, D., Mukherjee, D., Corvello, V., Piñeiro-Chousa, J., & Liguori, E. (2022). Literature reviews as independent studies: guidelines for academic practice. Review of Managerial Science, 16(8), 2577-2595. https://doi.org/10.1007/s11846-022-00588-8

Makina, A. (2010). The Role of Visualisation in Developing Critical Thinking in Mathematics [Academic Journal Report]. Perspectives in Education, 28(1), 24-33. http://journals.sabinet.co.za/pie/index.html

Mason, J. (2002). Exploiting mental imagery in teaching and learning Mathematics. Actas do ProfMat, 13, 75-81. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=e4d321b76f2181c1a8f676eef09b79c04af80079.

Medvedeva, Y., Kolgan, M., Pasholikov, M., Shevyakov, Y., & Sidorenko, A. (2021). Priority goals for the strategic development of industrial enterprises based on sustainable marketing. E3S Web of Conferences, 258. https://doi.org/10.1051/e3sconf/202125806023

Miller, R. (2012). On proof without words. Whitman College.

Mitrinovic, D. S., & Vasic, P. M. (1970). Analytic inequalities (Vol. 1). Springer-verlag.

Moharana, R. (2014). Review on young's inequality national institute of Technology Rourkela Rourkela, Odisha.

Nurwahyu, B., & Tinungki, G. M. (2020). Concept image and its influence on beliefs: Case study on undergraduate engineering students in solving of Calculus concepts problems. International Journal of Advanced Science and Technology, 29(5), 2227-2243.

Parame-Decin, M. B. (2023). Visual representations in teaching mathematics. Sprin Journal of Arts, Humanities and Social Sciences, 2(5), 21-30. https://doi.org/10.55559/sjahss.v2i05.107

Presmeg, N. (2020). Visualization and learning in mathematics education. In Encyclopedia of mathematics education (pp. 900-904).

Quinnell, L. (2022). Uncovering the world of maths with visuals. Australian Journal of Middle Schooling, 22(1), 14-21. https://adolescentsuccess.org.au/resources/Documents/Adolescent%20Success%20Nov%20Volume%2022-5.pdf.

Relaford-Doyle, J., Núñez, R. E., Howes, A., & Tenbrink, T. (2017). When does a visual proof by induction serve a proof-like function in mathematics? CogSci,

Santos, V., & Quaresma, P. (2010). Adaptative learning environment for geometry. In M. B. Rossom (Ed.), Advances in Learning Processes (pp. 71-92). InTech.

Sternberg, R. J. (2009). Applied cognitive psychology. Perceiving, Learning, and Remembering. Centage Learning.

Stewart, J. (2008). Calculus. Early transcendental (6th ed.). Thomson Brooks/Cole.

Stylianou, D. A., & Silver, E. A. (2004). The role of visual representations in advanced mathematical problem solving: an examination of expert-novice similarities and differences. Mathematical Thinking and Learning, 6(4), 353-387. https://doi.org/10.1207/s15327833mtl0604_1

Svitek, S., Annus, N., & Filip, F. (2022). Math can be visual-teaching and understanding arithmetical functions through visualization. Mathematics, 10(15), 2656. https://doi.org/10.3390/math10152656

Tall, D. (1991). Intuition and rigour: The role of visualization in the calculus. Visualization in teaching and learning mathematics, 19, 105-119. Retrieved from: https://homepages.warwick.ac.uk/staff/David.Tall/pdfs/dot1991a-int-rigour-maa.pdf

Vale, I., & Barbosa, A. (2023). Visualization: A pathway to mathematical challenging tasks. In R. Leikin (Ed.), Mathematical Challenges for All (pp. 283-306). Springer.

Žakelj, A., & Klancar, A. (2022). The role of visual representations in geometry learning. European Journal of Educational Research, 11(3), 1393-1411. https://doi.org/10.12973/eu-jer.11.3.1393




DOI: https://doi.org/10.30862/jhm.v7i2.603

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


Indexed by:

   


Journal of Honai Math
Universitas Papua
Jalan Gunung Salju, Amban,
Manokwari, Papua Barat - 98314
Telp. (0986) 211 430; Fax. (0986) 211 430
Email: journal.honai.math@unipa.ac.id


p-ISSN: 2615-2185 | e-ISSN: 2615-2193


This work is licensed under a Creative Commons Attribution 4.0 International License

View My Stats