The lecture covers linear transformations in two dimensions, explaining them as functions with specific properties. It includes examples like reflection and rotation, and discusses their applications in fields like computer graphics. The lecture also introduces vector fields as a way to visualize transformations.

What is the primary focus of lecture 6b in differential equations in linear algebra?

• Non-linear transformations

• Quadratic transformations

• Linear transformations in two dimensions

• Linear transformations in three dimensions

What is the domain of a two-dimensional linear transformation?

• One-dimensional space

• Three-dimensional space

• Four-dimensional space

• Two-dimensional space

Why are pure constants not included in the equations of linear transformations?

• They are difficult to calculate

• They make the equations non-linear

• They are unnecessary for defining linear transformations

• They complicate the equations

What is another name for a function in the context of linear transformations?

• Equation

• Map

• Graph

• Matrix

In the example of reflection across the horizontal axis, what happens to the y-coordinate?

• It is negated

• It is doubled

• It is squared

• It remains the same

What is the formula for reflection across the 45-degree line?

• uv = t(x, y) = (-x, -y)

• uv = t(x, y) = (x, y)

• uv = t(x, y) = (x, -y)

• uv = t(x, y) = (y, x)

What is the effect of an expansion or dilation transformation by a factor of two?

• Points move in the opposite direction

• Points move twice as far from the origin

• Points move half as far from the origin

• Points remain at the same distance from the origin

What is a shear transformation similar to?

• Rotating a point

• Expanding a point

• Reflecting a point

• Pushing the top of a building to slant it

What is the significance of operation-preserving properties in linear transformations?

• They make transformations non-linear

• They are not significant

• They ensure transformations are linear

• They simplify calculations

How can linear transformations be visualized apart from mappings?

• As equations

• As matrices

• As vector fields

• As graphs