Lecture Notes: Transformations, Symmetry, Operations on Functions, Difference Quotient, and Composite Functions
- Base function: f(x)=∣x∣
- Example 1: h(x)=−∣x+3∣+1
- Interpretation of transformations:
- Inside absolute value: x+3⇒ shift left 3 units.
- Outside: −1×∣⋅∣ reflects across the x-axis (inversion).
- Finally: +1 shifts the graph up by 1.
- End result described: a graph that is shifted left 3, reflected about the x-axis, and moved up by 1.
- Quick check: you can also verify by plotting ordered pairs or using a table.
- Example 2: h(x)=∣2x−4∣
- Start from ∣x∣ and analyze the inside:
- Factor inside: ∣2x−4∣=∣2(x−2)∣=2∣x−2∣.
- Interpretations:
- Horizontal shift: x−2 indicates shift right by 2.
- Vertical stretch: the factor 2 in front indicates a vertical stretch by a factor of 2.
- End result: the graph of ∣x∣ shifted right by 2 and stretched vertically by 2.
- Example 3: g(x)=−21x2
- Start with the familiar parabola f(x)=x2.
- Transformations applied:
- Multiply by 21: vertical compression by a factor of 1/2 (i.e., the parabola gets narrower).
- Multiply by −1: reflection about the x-axis (opens downward).
- Add 4: shift upward by 4.
- Resulting graph: a downward-opening parabola (due to the negative) shifted up by 4 units.
- Distinguishing between vertical vs horizontal translations:
- If you have f(x+3), this is a horizontal shift left by 3.
- If you have f(x)+3, this is a vertical shift up by 3.
- If you combine them as f(x−2)+3, you get a right shift of 2 and an up shift of 3; order does not affect the final vertical/horizontal amounts, but you must interpret each part correctly.
- Quick practical note on using translations and transformations:
- The translations, reflections, and stretches can be understood via the inside and outside of the function notation.
- This approach lets you infer the graph quickly without plotting every point.
Symmetry of Graphs and Functions
- General idea: symmetry about an axis or the origin reveals fundamental invariances of the graph.
- Symmetry about the y-axis (vertical axis):
- Test: replace x by −x in the equation; if the equation is equivalent, the graph is symmetric about the y-axis.
- For a function f(x) in the form y=f(x), this means f(−x)=f(x) for all x in the domain.
- Example: y=x2+4 is symmetric about the y-axis because (−x)2+4=x2+4.
- Symmetry about the x-axis (horizontal axis):
- Test: replace y by −y; if the equation remains equivalent, the graph is symmetric about the x-axis.
- For y=f(x), this generally is not true unless the graph satisfies f(x)=−f(x) for all x (which implies f(x)=0 for all x, a degenerate case).
- Example: the circle x2+y2=16 is symmetric about both axes (and about the origin) because it remains invariant under the indicated transformations.
- Symmetry about the origin:
- Test: replace
(x,y) with (-x,-y); if equivalent, the graph is symmetric about the origin. - For a relation y=f(x), origin symmetry occurs if f(−x)=−f(x) (the function is odd).
- Examples:
- The circle x2+y2=16 is origin-symmetric when centered at the origin.
- The curve y=x3 is origin-symmetric because (−x)3=−x3.
- The relation y=x1 is origin-symmetric as well (since replacing gives equivalent form).
- Quick practice checks (picked from the lecture):
- Test various equations to determine their axis/origin symmetry using the appropriate substitutions.
- If graphed, symmetry is often visually apparent; the tests help when graphs aren’t available.
Operations on Functions and Their Domains
- Notation to combine two functions, defined where both are defined:
- (f+g)(x)=f(x)+g(x)
- (f−g)(x)=f(x)−g(x)
- (f⋅g)(x)=f(x)g(x)
- (gf)(x)=g(x)f(x)where g(x)=0
- Intuition:
- These are simply the pointwise addition, subtraction, multiplication, and division of the two functions at each x.
- The domain of the resulting function is restricted by where both f and g are defined (and additionally where g(x) ≠ 0 for the quotient).
- Worked idea from the lecture (conceptual steps):
- To evaluate (f+g)(1), compute f(1) and g(1), then add them. The same approach applies to f-g, f·g, and f/g (with the domain caveat for division).
- Example prompts (as discussed in class):
- If given specific f and g, you would compute values like f(1) + g(1), f(-3) - g(-3), etc., and verify with algebra as needed.
- Quick takeaway:
- This notation emphasizes the modular combination of two known functions without needing to rewrite each time.
The Difference Quotient
- Definition and purpose:
- The difference quotient is the core building block for the derivative; it measures the average rate of change of f over an interval of length h.
- Formula:
DQf(x,h)=hf(x+h)−f(x),h=0.
- Important restriction: h=0 because division by zero is undefined; the limit as h→0 gives the instantaneous rate of change.
- Example: take f(x)=2x2−3.
- Compute inner value: f(x+h)=2(x+h)2−3=2x2+4xh+2h2−3.
- Difference: f(x+h)−f(x)=(2x2+4xh+2h2−3)−(2x2−3)=4xh+2h2.
- Difference quotient: DQf(x,h)=h4xh+2h2=4x+2h.
- Observations:
- The algebra should cancel like terms to simplify the expression.
- If you take the limit as h→0, you obtain the derivative: f′(x)=lim<em>h→0DQ</em>f(x,h)=4x.
- Practical tip:
- Carefully expand and collect like terms; check cancellations (e.g., symmetric terms like 2x2 cancel when subtracting f(x) from f(x+h)).
Composite Functions
- Definition:
- The composition of f and g is the function (f∘g)(x)=f(g(x))
- Conceptually: a function inside a function; you feed the output of g into f.
- Important: the order matters; in general, (f∘g)(x)=(g∘f)(x).
- Worked example from the lecture:
- Given f(x)=2x−1 and g(x)=x−14
- Compute (f∘g)(2)=f(g(2))<br/>=f(4)=2⋅4−1=7.
- Compute (g∘f)(2)=g(f(2))<br/>=g(3)=3−14=2.
- Another check (partial): for x = -3, with the same f and g,
- f(−3)=2(−3)−1=−7.
- Then (g∘f)(−3)=g(−7)=−7−14=−84=−21.
- Takeaway:
- Always start with the inner function, evaluate it, then plug that result into the outer function.
- Changing the order changes the result, illustrating the non-commutativity of function composition.
Connections to Foundational Concepts and Applications
- The translation, reflection, and scaling rules connect to the geometric understanding of graphs, which in turn underpin modeling in physics, engineering, and economics.
- Symmetry is a powerful diagnostic tool in problem solving, reducing the complexity of solving equations or understanding the behavior of systems.
- The difference quotient introduces the fundamental idea of instantaneous rate of change, leading directly to derivatives and optimization.
- Composite functions are central to modeling layered processes (e.g., applying a transformation G to data, then applying a decision rule F to the result).
- Absolute value transformations:
- h(x)=a∣bx+c∣+d
- Example interpretations:
- Inside term shifts left/right: x+c or scaling via b inside absolute value.
- Outside amplitude/vertical change: multiply by a and shift by d.
- Symmetry tests:
- Y-axis: f(−x)=f(x)for all x
- X-axis: replace y with −y in the equation (invariance criterion)
- Origin: replace $(x,y)$ with $(-x,-y)$ (inference: odd symmetry: f(−x)=−f(x))
- Operations on functions:
- (f±g)(x)=f(x)±g(x)
- (f⋅g)(x)=f(x)g(x)
- (gf)(x)=g(x)f(x),g(x)=0
- Difference quotient:
- DQf(x,h)=hf(x+h)−f(x),h=0
- Example: with f(x)=2x2−3, f(x+h)=2(x+h)2−3 and
DQf(x,h)=h(2x2+4xh+2h2−3)−(2x2−3)=4x+2h
- Composite functions:
- (f∘g)(x)=f(g(x))
- Examples: with f(x)=2x−1, g(x)=x−14
- (f∘g)(2)=7
- (g∘f)(2)=2
- (g∘f)(−3)=−21