--- title: "LACS.PAR.7: Vector Space Applications (Georgia Mathematics standard)" code: LACS.PAR.7 cite_as: Georgia Standards of Excellence, Mathematics, LACS.PAR.7 subject: math grades: - high-school language: en canonical_url: https://georgiahomeroom.org/standards/code/LACS.PAR.7 md_url: https://georgiahomeroom.org/standards/code/LACS.PAR.7.md alternate_language_url: https://georgiahomeroom.org/es/standards/code/LACS.PAR.7.md source_url: https://case.georgiastandards.org/ims/case/v1p1/CFDocuments/e9dd7229-3558-4df2-85c6-57b8938f6180 source_last_changed: 2024-10-09 data_built: 2026-09-18 publisher: Georgia Homeroom, a free public-interest project of Georgia Civic Data. Not affiliated with or endorsed by the Georgia Department of Education or any school district. up: https://georgiahomeroom.org/standards/math/high-school.md index: https://georgiahomeroom.org/standards/index.md --- # LACS.PAR.7: Vector Space Applications Solve contextual, mathematical problems using vector spaces to explain real-life phenomena. - Subject: Mathematics - Appears in: High School, https://georgiahomeroom.org/standards/math/high-school.md ## Expectations - Use properties of vector spaces to solve problems. - **LACS.PAR.7.1**: Determine whether a given set of vectors generates a vector space. - **LACS.PAR.7.2**: Justify whether a subset of a vector space is a subspace. - **LACS.PAR.7.3**: Determine whether a given vector is in the linear span of a set of vectors. - **LACS.PAR.7.4**: Determine whether two vector subspaces are orthogonal; find the orthogonal component of a given subspace. - Find and use vectors as a basis. - **LACS.PAR.7.5**: Determine whether a set of vectors is a basis for a vector space. - **LACS.PAR.7.6**: Find the dimension of a vector space; find the dimensions of the row space, column space, and kernel for a given matrix; find the rank of a matrix. - **LACS.PAR.7.7**: Find a matrix representing a linear map. - **LACS.PAR.7.8**: Determine the change of representation for a linear transformation given two different bases on a vector space. - **LACS.PAR.7.9**: Determine if two matrices are similar; determine if two matrices are orthogonal. - **LACS.PAR.7.10**: Find an orthogonal basis for a given basis or subspace by applying the Gram-Schmidt orthonormalization process. - **LACS.PAR.7.11**: Perform QR factorization of a matrix to solve matrix equations. - Apply vector spaces and vectors as a basis in programming to solve contextual problems. - **LACS.PAR.7.12**: Apply the method of least squares to find the line or parabola of best fit to approximate data in context. - **LACS.PAR.7.13**: Apply the grow-and-shrink algorithm in the minimum spanning forest problem in GF(2). - **LACS.PAR.7.14**: Apply the Exchange Lemma to image perspective rendering. - **LACS.PAR.7.15**: Use bases to represent images and sounds as wavelets; perform wavelet transformation, implementation, and decomposition through programming. - **LACS.PAR.7.16**: Program a Fast Fourier Transform to store a sequence of amplitude samples. - **LACS.PAR.7.17**: Apply the Rank Theorem to demonstrate the simple authentication scheme. ## Georgia Milestones coverage No Georgia Milestones blueprint cites this standard. Source: Georgia Standards of Excellence, published by the Georgia Department of Education at case.georgiastandards.org.