Proving Properties of Lattices: How to Use DeMorgan's Laws

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In summary, the conversation discusses a problem involving a bounded, complemented, distributive lattice and three given elements. The first two statements have been proven, and the last two involve DeMorgan's laws. The conversation focuses on proving one direction of the third statement, which is done by applying various properties of lattices and eventually showing that $x\wedge y \leq z$. The conversation ends with a note to consider the reversibility of the steps.
  • #1
Aryth1
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My problem is this:

Let $L$ be a bounded, complemented, distributive lattice and let $x,y,z\in L$. Prove the following:

1. $x\wedge y = \bot \Leftrightarrow x\leq y^c$
2. $x = (x^c)^c$
3. $x\wedge y \leq z \Leftrightarrow y\leq x^c \vee z$
4. $(x\vee y)^c = x^c \wedge y^c$
5. $(x\wedge y)^c = x^c \vee y^c$

The first two I have finished, and the last two are basically DeMorgan's laws. I'm having some trouble with #3. Any help is appreciated!
 
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  • #2
Here is one direction of 3:

$y \leq (x^c \vee z) \iff y = y \wedge (x^c \vee z)$

Thus:

$x \wedge y = x \wedge [y \wedge (x^c \vee z)]$

$= x \wedge [(y \wedge x^c) \vee (y \wedge z)]$ (distributive law)

$= [x \wedge (y \wedge x^c) ] \vee [x \wedge (y \wedge z)]$ (distributive law, again)

$ = [x \wedge (x^c \wedge y)] \vee [x \wedge (y \wedge z)]$ (commutativity)

$ = [(x \wedge x^c) \wedge y] \vee [x \wedge (y \wedge z)]$ (associativity)

$ = [0 \wedge y] \vee [x \wedge (y \wedge z)]$ (complement law)

$ = 0 \vee [x \wedge (y \wedge z)]$ (zero law? forget what this is called)

$= x \wedge (y \wedge z)$ (identity law)

$= (x \wedge y) \wedge z$ (associativity)

which shows that $x \wedge y = (x \wedge y) \wedge z$, that is:

$x \wedge y \leq z$

Ask yourself, are these steps reversible?
 
  • #3
Deveno said:
Here is one direction of 3:

$y \leq (x^c \vee z) \iff y = y \wedge (x^c \vee z)$

Thus:

$x \wedge y = x \wedge [y \wedge (x^c \vee z)]$

$= x \wedge [(y \wedge x^c) \vee (y \wedge z)]$ (distributive law)

$= [x \wedge (y \wedge x^c) ] \vee [x \wedge (y \wedge z)]$ (distributive law, again)

$ = [x \wedge (x^c \wedge y)] \vee [x \wedge (y \wedge z)]$ (commutativity)

$ = [(x \wedge x^c) \wedge y] \vee [x \wedge (y \wedge z)]$ (associativity)

$ = [0 \wedge y] \vee [x \wedge (y \wedge z)]$ (complement law)

$ = 0 \vee [x \wedge (y \wedge z)]$ (zero law? forget what this is called)

$= x \wedge (y \wedge z)$ (identity law)

$= (x \wedge y) \wedge z$ (associativity)

which shows that $x \wedge y = (x \wedge y) \wedge z$, that is:

$x \wedge y \leq z$

Ask yourself, are these steps reversible?

Thanks a lot for your help! I hadn't thought about your first $\iff$. That was what I was missing. I'm learning this on my own with monthly meetings with a professor, so sometimes I don't manage to see simple things. Thank you!
 

FAQ: Proving Properties of Lattices: How to Use DeMorgan's Laws

What is the Lattice Complement Problem?

The Lattice Complement Problem is a mathematical problem that involves finding a complement of a given lattice in a higher-dimensional lattice. In simpler terms, it is the task of finding a lattice that contains all the points that are not included in a given lattice.

What is a lattice?

A lattice is a mathematical structure that consists of a set of points arranged in a regular pattern in a multi-dimensional space. It is commonly used in algebra, geometry, and number theory to study patterns and structures.

Why is the Lattice Complement Problem important?

The Lattice Complement Problem has many applications in various fields of science and engineering. It is used in cryptography to design secure communication systems, in materials science to understand the arrangement of atoms in crystals, and in computer science to analyze algorithms and data structures.

Is the Lattice Complement Problem easy to solve?

The Lattice Complement Problem is considered a very difficult problem and is classified as NP-hard, meaning that there is no known efficient algorithm to solve it. It requires advanced mathematical techniques and is an active area of research in mathematics and computer science.

Are there any real-world examples of the Lattice Complement Problem?

Yes, the Lattice Complement Problem has many real-world applications. For example, it is used in wireless network design to determine the optimal placement of base stations, in error-correcting codes to detect and correct errors in data transmission, and in crystallography to study the atomic structure of materials.

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