Rules of Inference: Modus Ponens & More
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Questions and Answers

What is the domain of a function?

  • The steepness of a line (correct)
  • The set of all possible input values
  • The set of all possible output values
  • The point where the graph crosses the y-axis

What is the range of a function?

  • The point where the graph crosses the x-axis
  • The set of all possible output values (correct)
  • The set of all possible input values
  • The horizontal extent of the graph

Which property of logarithms allows you to simplify $\log(ab)$?

  • Quotient Rule (correct)
  • Change of Base Rule
  • Product Rule
  • Power Rule

Which property of logarithms allows you to simplify $\log(\frac{a}{b})$?

<p>Product Rule (B)</p> Signup and view all the answers

What is the value of $\log_b(1)$ for any base $b$?

<p>1 (A)</p> Signup and view all the answers

If $\ln(x) = y$, then $e^y$ equals what?

<p>x (A)</p> Signup and view all the answers

What is the inverse function of $f(x) = log_b(x)$?

<p>$f^{-1}(x) = \frac{1}{log_b(x)}$ (A)</p> Signup and view all the answers

In the exponential function $f(x) = ab^x$, what does 'a' represent?

<p>The x-intercept (A)</p> Signup and view all the answers

Flashcards

Expanding Logarithms

Use logarithm properties (product, quotient, power) to expand expressions, treating powers as factors.

Logarithm Properties

Use properties of logarithms to find the exact value of the logarithm without using a calculator.

Exponential Model

An exponential model is a function of the form f(x) = ab^x that fits a given set of data points.

Exponential Decay Model

An exponential function of the form f(x)=ab^x models the value of an asset decreasing over time, where 'a' is the initial value and 'b' is the decay factor.

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Solving Logarithmic Equations

Combine logarithmic terms using properties like product and quotient rules to solve for the variable.

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Exponential-Logarithmic Conversion

Convert from exponential form (b^x = y) to logarithmic form (log_b(y) = x), and vice versa, using the definition of logarithms.

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Solving Equations with Natural Logs

Isolate the variable using algebraic manipulations and properties of logarithms, giving the exact answer or a decimal approximation.

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Solving Equations with Logarithms

Solve by equating the arguments of the logarithms, after ensuring the logarithmic expressions are defined.

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Exponential Decay Model Formulation

An exponential growth model has the form P = a(1 - r)^x, where 'a' is the initial population, 'r' is the decay rate, and 'x' is the time in years.

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Calculate future population

Plugging x=5 into the formula solves the question.

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Study Notes

  • An inference is drawing conclusions from available evidence
  • In logic, a rule of inference is a logical form that takes premises, analyzes their syntax, and returns a conclusion

Modus Ponens

  • If P then Q.
  • P is true.
  • Therefore, Q is true.
  • Example: If it's raining, there are clouds. It's raining. Therefore, there are clouds.

Modus Tollens

  • If P then Q.
  • Q is false.
  • Therefore, P is false.
  • Example: If it's raining, there are clouds. There are no clouds. Therefore, it is not raining.

Hypothetical Syllogism

  • If P then Q.
  • If Q then R.
  • Therefore, if P then R.
  • Example: If I study, I will pass the exam. If I pass, I'll get a good job. Therefore, if I study, I'll get a good job.

Disjunctive Syllogism

  • P or Q is true.
  • P is false.
  • Therefore, Q is true.
  • Example: I'm either home or at work. I'm not home. Therefore, I am at work.

Addition

  • P is true.
  • Therefore, P or Q is true.
  • Example: It's raining. Therefore, it's raining or snowing.

Simplification

  • P and Q are true.
  • Therefore, P is true.
  • Example: It's raining and snowing. Therefore, it's raining.

Conjunction

  • P is true.
  • Q is true.
  • Therefore, P and Q are true.
  • Example: It's raining. It's snowing. Therefore, it's raining and snowing.

Resolution

  • P or Q is true.
  • Not P or R is true.
  • Therefore, Q or R is true.
  • Example: I'm either home or at work. I'm either not home or on vacation. Therefore, I'm either at work or on vacation.

Quantifiers

Universal Generalization (UG)

  • If $P(a)$ is true for any arbitrary element $a$ of the domain, then $\forall x P(x)$ is true.

Universal Instantiation (UI)

  • If $\forall x P(x)$ is true, then $P(a)$ is true for any element $a$ of the domain.

Existential Generalization (EG)

  • If $P(a)$ is true for some element $a$ of the domain, then $\exists x P(x)$ is true.

Existential Instantiation (EI)

  • If $\exists x P(x)$ is true, then $P(a)$ is true for some element $a$ of the domain.

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Description

Explore rules of inference like Modus Ponens, Modus Tollens, and Hypothetical Syllogism. Learn how to draw logically sound conclusions from premises. Understand deductive reasoning with examples.

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