HUNTERTUTORING

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In Plain Language

Topic 4.13 treats matrices as functions that transform vectors in R^2.

  • Association: each linear transformation corresponds to a 2x2 matrix (4.13.A.1).
  • Basis images: where (1,0) and (0,1) go determines the matrix (4.13.A.2).
  • Rotation: [[cos t, -sin t],[sin t, cos t]] rotates counterclockwise by t (4.13.A.3).
  • Dilation: |det(A)| gives the magnitude of area scaling under A (4.13.A.4).
  • Composition: composing transformations is linear; matrix is the product (4.13.B.1, 4.13.B.2).
  • Inverse: inverse transformations undo each other; L^-1(v)=A^-1 v when L(v)=Av (4.13.C.1, 4.13.C.2).

Course scope only (Unit 4 additional topic; not on the AP Exam).

Why It Matters

Matrices-as-functions unify geometry (rotate, scale, shear) with algebra and prepare for 4.14 modeling.

How Families Can Help

  • Ask where the unit vectors land.
  • Compare before/after areas when |det| is discussed.
  • Check whether order matters in composition.

What Not to Do

  • Do not swap rotation matrix signs casually.
  • Do not assume AB=BA for transformations.
  • Do not skip linking matrix entries to basis images.

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