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Linear Transformation

  • Operations that change a function’s position or size while preserving its linear relationships.
  • Common forms include translation (shifting) and scaling (stretching/shrinking).
  • Outputs of linear transformations can be expressed as linear combinations of the inputs.

Linear transformations are mathematical operations that preserve the linearity of a function. In other words, they maintain the relationship between the input and output of a function, such that the output of a linear transformation can be represented as a linear combination of the inputs.

Linear transformations manipulate functions in ways that keep linear structure intact. Two common types are described in the source:

  • Translation (shifting): moves the points of a function along a given vector.
  • Scaling (stretching or shrinking): changes the size of a function by a given factor.

These transformations make it possible to modify functions in predictable ways—for example, to align a function with a specific coordinate system or to make it easier to compare with other functions. Linear transformations are also applied in geometry to rotate, reflect, or shear shapes.

If we have f(x)=xf(x) = x we can translate it by 2 units to the right by adding 2 to each x-value, resulting in f(x)=x+2.f(x) = x + 2. According to the source, this new function will have the same slope and y-intercept as the original, but will be shifted to the right by 2 units.

If we have f(x)=xf(x) = x we can scale it by a factor of 2 by multiplying each x-value by 2, resulting in f(x)=2x.f(x) = 2x. This new function will have the same y-intercept as the original, but will have a steeper slope and a greater range of values.

  • Aligning a function with a specific coordinate system by shifting it.
  • Scaling a function to make it easier to compare to other functions.
  • Geometry operations such as rotating, reflecting, or shearing shapes.
  • Applications in data analysis, graphing, and engineering.
  • Linearity
  • Linear combination
  • Translation
  • Scaling
  • Rotation
  • Reflection
  • Shear
  • Slope
  • Y-intercept