Jaysen Tsao

typst test 1

Examples

  1. Prove using rules of inference that:

    (𝑃⇒¬𝑄)∧(𝑄⇒¬𝑃)β‰‘Β¬π‘ƒβˆ¨Β¬π‘„.
Solution.
(𝑃⇒¬𝑄)∧(𝑄⇒¬𝑃)≑(Β¬π‘ƒβˆ¨Β¬π‘„)∧(Β¬π‘„βˆ¨Β¬π‘ƒ)Β byΒ MaterialΒ Implication ≑(Β¬π‘ƒβˆ¨Β¬π‘„)∧(Β¬π‘ƒβˆ¨Β¬π‘„)Β byΒ CommutativityΒ ofΒ βˆ¨β‰‘Β¬π‘ƒβˆ¨Β¬π‘„.Β byΒ IdempotentΒ Law ∎

  1. Prove that the following argument is invalid:

If this number is larger than 9, then its square is larger than 81.
The number is not larger than 9.
Therefore, its square is not larger than 81.

Solution.

Let 𝑝 be the proposition β€œThis number is larger than 9” and let π‘ž be the proposition β€œIts square is larger than 81”. The argument can be rewritten as follows:

If 𝑝, then π‘ž.
Not 𝑝.
Therefore, not π‘ž.

The statement π‘β‡’π‘ž is not equivalent to Β¬π‘β‡’Β¬π‘ž. The argument is invalid by inverse error.


Proof.
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Proof: Solution of .
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1. Fields

Definition 1: Well Ordering Principle

Let π‘₯ be a nonempty set of nonnegative integers. Then π‘₯ has a least element.

Definition 2: Field

A field is a set 𝐹 together with two binary operations addition + and multiplication β‹… such that the following properties hold:

  1. Closure under addition. βˆ€π‘Ž,π‘βˆˆπΉ,π‘Ž+π‘βˆˆπΉ.
  2. Closure under multiplication. βˆ€π‘Ž,π‘βˆˆπΉ,π‘Žβ‹…π‘βˆˆπΉ.
  3. Commutativity of addition. βˆ€π‘Ž,π‘βˆˆπΉ,π‘Ž+𝑏=𝑏+π‘Ž.
  4. Commutativity of multiplication. βˆ€π‘Ž,π‘βˆˆπΉ,π‘Žβ‹…π‘=π‘β‹…π‘Ž.
  5. Associativity of addition. βˆ€π‘Ž,𝑏,π‘βˆˆπΉ,(π‘Ž+𝑏)+𝑐=π‘Ž+(𝑏+𝑐).
  6. Associativity of multiplication. βˆ€π‘Ž,𝑏,π‘βˆˆπΉ,(π‘Žβ‹…π‘)⋅𝑐=π‘Žβ‹…(𝑏⋅𝑐).
  7. Additive identity. βˆƒ0∈𝐹 s.t.Β βˆ€π‘ŽβˆˆπΉ,π‘Ž+0=π‘Ž.
  8. Multiplicative identity. βˆƒ1∈𝐹 s.t.Β βˆ€π‘ŽβˆˆπΉ,π‘Žβ‹…1=π‘Ž.
  9. Additive inverses. βˆ€π‘ŽβˆˆπΉ,βˆƒ(βˆ’π‘Ž)∈𝐹 s.t.Β π‘Ž+(βˆ’π‘Ž)=0.
  10. Multiplicative inverses. βˆ€π‘ŽβˆˆπΉ,π‘Žβ‰ 0β‡’βˆƒπ‘Žβˆ’1∈𝐹 s.t.Β π‘Žβ‹…π‘Žβˆ’1=1.
  11. Distributivity over addition. βˆ€π‘Ž,𝑏,π‘βˆˆπΉ,π‘Žβ‹…(𝑏+𝑐)=(π‘Žβ‹…π‘)+(π‘Žβ‹…π‘).
  12. Distributivity over multiplication. βˆ€π‘Ž,𝑏,π‘βˆˆπΉ,(π‘Ž+𝑏)⋅𝑐=(π‘Žβ‹…π‘)+(𝑏⋅𝑐).

Together, these are called the field axioms.

The elements of 𝐹 are called 𝑭-scalars. The additive identity is denoted 0𝐹 and the multiplicative identity is denoted 1𝐹.

Definition 3: Field Subtraction and Field Division

Let 𝐹 be a field. The binary operation of subtraction βˆ’ on 𝐹 is defined as follows:

βˆ€π‘Ž,π‘βˆˆπΉ,π‘Žβˆ’π‘=π‘Ž+(βˆ’π‘).

The binary operation of division / on 𝐹 is defined as follows:

βˆ€π‘Ž,π‘βˆˆπΉ,π‘Žπ‘=π‘Žβ‹…π‘βˆ’1.

Definition 4: Subfield

Let 𝐹 be a field, and let 𝐻 be a subset of 𝐹. Then 𝐻 is a subfield of 𝐹 iff 𝐻 is itself a field under the same operations of addition and multiplication as 𝐹.

Theorem 1: Subfield Theorem

Let 𝐹 be a field, and let 𝐻 be a subset of 𝐹. Then 𝐻 is a subfield of 𝐹 if and only if:

  1. Non-emptiness. 𝐻 is non-empty, i.e. π»β‰ βˆ….
  2. Closure under subtraction. βˆ€π‘Ž,π‘βˆˆπ»,π‘Žβˆ’π‘βˆˆπ».
  3. Closure under division. βˆ€π‘Ž,π‘βˆˆπ»,𝑏≠0β‡’π‘Ž/π‘βˆˆπ».
Proof: Subfield Theorem.

Suppose 𝐻 is a subset of 𝐹.

(β‡’) Assume 𝐻 is a subfield of 𝐹. Then 𝐻 is a field under the same operations as 𝐹, so 𝐻 must satisfy all the field axioms. In particular, 𝐻 must be non-empty since it contains at least the additive identity. 𝐻 must also be closed under subtraction and division since these operations are defined in terms of addition and multiplication, which are closed in 𝐻.

(⇐) Assume that 𝐻 is non-empty, closed under subtraction, and closed under division. We will show that 𝐻 satisfies all the field axioms under the same operations as 𝐹. Since 𝐻 is a subset of 𝐹, the operations of addition and multiplication on 𝐻 are inherited from 𝐹.

Proposition 1

The set of all real numbers ℝ is a field.

Theorem 2: Cramer’s Rule

Let 𝐴 be an invertible 𝑛×𝑛 matrix, and let 𝑏 be a column vector of size 𝑛. Then the unique solution to the system of equations 𝐴π‘₯=𝑏 is given by:

π‘₯𝑖=det(𝐴𝑖)det(𝐴)

where 𝐴𝑖 is the matrix obtained by replacing the 𝑖-th column of 𝐴 with the column vector 𝑏.

Proposition 2

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Lemma 1

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Corollary

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Remark

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Important

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Warning

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Caution

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Note

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Example.
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