Matrix Multiplication and Composition Quiz

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Questions and Answers

Define composition in linear algebra and provide the formula for composition of two transformations.

Composition in linear algebra means chaining together two transformations. The formula for composition of two transformations, T and U, is (T â—¦ U)(x) = T(U(x)).

What does it mean to evaluate T â—¦ U on an input vector x?

To evaluate T â—¦ U on an input vector x, you first evaluate U(x) and then take this output vector of U and use it as an input vector of T.

When does composition of two transformations make sense?

Composition of two transformations makes sense when the outputs of U are valid inputs of T, meaning that the range of U is contained in the domain of T.

How can composition of two transformations be visualized?

<p>Composition of two transformations can be visualized as a 'machine' that first runs U, then takes its output and feeds it into T.</p> Signup and view all the answers

What is the composition T â—¦ U?

<p>The composition T â—¦ U is the transformation that first applies U, then applies T (note the order of operations).</p> Signup and view all the answers

Which subarea of mathematical logic studies the mathematical properties of formal systems of logic?

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

What is the main focus of research in mathematical logic?

<p>Studying the expressive or deductive power of formal systems of logic (A)</p> Signup and view all the answers

In which century did the study of foundations of mathematics begin?

<p>19th century (B)</p> Signup and view all the answers

Who proposed the program to prove the consistency of foundational theories in the early 20th century?

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

What did the results of Kurt Gödel, Gerhard Gentzen, and others provide in relation to Hilbert's program?

<p>Partial resolution (D)</p> Signup and view all the answers

Flashcards

Composition of transformations

Applying one linear transformation followed by another, where the output of the first transformation acts as the input for the second.

T â—¦ U(x) = T(U(x))

The formula for composition of transformation T followed by U, where x is an input vector.

Valid Composition

A transformation's domain must include the range of the previous transformation. Outputs of the first transformation must be valid inputs for the second.

Composition Visualization

Visualizing composition as a process where the input is processed by the first transformation, then the output is fed into the second.

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T â—¦ U

A transformation that applies U first, then T, in that order.

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Model Theory

A branch of mathematical logic that explores the properties of formal systems of logic by studying their models.

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Focus of Mathematical Logic Research

Analyzing the expressive and deductive capabilities of formal systems of logic.

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Foundations of Mathematics Beginnings

The 19th century saw the beginnings of investigating the foundations of mathematics.

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Hilbert's Program

Early 20th century, David Hilbert proposed a program to prove the consistency of foundational theories.

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Partial Resolution of Hilbert's Program

Gödel, Gentzen, and others provided partial solutions to Hilbert's program, showing its limitations.

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Study Notes

Matrix Multiplication

  • Composition in linear algebra is similar to composition in Calculus, referring to the act of combining two transformations.

Composition of Transformations

  • Let T: Rn → Rm and U: Rp → Rn be transformations, where T â—¦ U is the composition of T and U.
  • The composition T â—¦ U is defined as: (T â—¦ U)(x) = T(U(x)), where x is an input vector.

Evaluating Composition

  • To evaluate T â—¦ U on an input vector x, first evaluate U(x), then take the output vector of U as an input vector of T.
  • The order of operations is important: first apply U, then apply T.

Conditions for Composition

  • Composition T â—¦ U only makes sense when the outputs of U are valid inputs of T.
  • This means the range of U must be contained in the domain of T.

Visual Representation

  • The composition T â—¦ U can be visualized as a "machine" that first runs U, then takes its output and feeds it into T.

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