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Is it a subspace or not? Making sense of subspaces of vector spaces in a technology-assisted learning environment

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Abstract

The purpose of this research study was to understand how linear algebra students in a university in the United States make sense of subspaces of vector spaces in a series of in-depth qualitative interviews in a technology-assisted learning environment. Fourteen mathematics majors came up with a diversity of innovative and creative ways in which they coordinated visual and analytic approaches in the exploration of subspaces of a number of vector spaces such as \({\mathbb{R}}^n ,{\mathbb{R}}^{n \times n} ,{\mathbb{P}}_n\) and \(C\left( {\mathbb{R}} \right)\). In the demonstration of the closure property, the research participants embraced three different approaches in expressing the linear combination of \({\mathbf{u}}\) and \({\mathbf{v}}\): (i) \({\mathbf{u}} + {\mathbf{v}}\) [type I notation]; (ii) \(c{\mathbf{u}} + {\mathbf{v}}\) [type II notation]; and (iii) \(c{\mathbf{u}} + d{\mathbf{v}}\) [type III notation]. Although the majority of the students embraced type I notation at the beginning; there was a considerable shift towards type II notation towards the end of the study. Although students’ visualizations on the DGS appeared at times to be in agreement with the vector sum notation analytically embraced, students still most of the time utilized the type I notation in their visualizations. The role of the zero vector manifested itself in three main categories: (i) to show nonemptiness of a subspace; (ii) to show the failure of closure property of a nonsubspace [e.g., \({\mathbf{u}},{\mathbf{v}} \in W,{\text{but}}\,{\mathbf{u}} + {\mathbf{v}} = {\mathbf{0}} \notin W\)]; (iii) to show nonsubspaceness by showing that \(0 \notin W\). The zero vector seemed to be emphasized both within the visual approach and the analytic approach. Moreover, the visual approach did not prove necessary except for the nonsubspace explorations of certain cases. The paper concludes by offering pedagogical implications along with implications for the mathematics teaching profession and recommendations for further research.

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Notes

  1. Prior to the interviews on subspaces, students had explored ten important vectors spaces using the DGS-MATLAB environment so they were all familiar with standard operations of each of these vector spaces and modeling vector space properties using DGS-MATLAB.

  2. The discovery of subspaceness of W9 proved a big surprise for everyone. Everybody initially thought of W9 as an obvious nonsubspace outsider. Not being able to find a counter-example triggered students’ willingness to actually prove its subspaceness—which eventually what really worked at the end!

  3. A blank table was provided to all students; however not all students were able to complete all the cells of this table.

  4. At times, students felt the need to establish linear (in)dependence of a given set S of a vector space V or to obtain a smaller spanning set (instead of simply referring to a theorem that states that Span(S) is a subspace of V).

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Correspondence to Günhan Caglayan.

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Caglayan, G. Is it a subspace or not? Making sense of subspaces of vector spaces in a technology-assisted learning environment. ZDM Mathematics Education 51, 1215–1237 (2019). https://doi.org/10.1007/s11858-019-01101-4

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