# 3. Combinatorical Logic

#### introductional example

The combinatorial logic shown in Abbildung 1 enables to output of distinct logic values for each logic input. When you change the `input nibble`

you can see that the correct number appears on the 7-segment display. By clicking on the bits of the input, you can change the number.

Tasks:

- Which output $Y_0$ … $Y_6$ is generated from the input nibble
`1000`

? Which from`1001`

? - Is the output only depending on the input? Is there a dependence on history?

## 3.1 Combinatorial Circuit

Up to now, we looked at simple logic circuits. These are relatively easy to analyze and synthesize (=develop). The main question in this chapter is: how can we set up and optimize logic circuits?

In the following, we have a look at combinatorial circuits. These are generally logic circuits with

- $n$ inputs $X_0$, $X_1$, … $X_{n-1}$
- $m$ outputs $Y_0$, $Y_1$, … $Y_{m-1}$
- no „memory“, that is: a given set of input bits results in a distinct output

They can be described by

- truth table
- boolean formula
- hardware description language

The ladder one is not the focus of this course.

The applications range:

- (simple) half/full adder
- digital comparators (logic circuit to compare 2 values)
- Multiplexer/demultiplexer
- Arithmetic logic units in microcontrollers and processors
- much more

### 3.1.1 Example

In order to understand the synthesis of combinatoric logic we will follow a step-by-step example for this chapter.

Imagine you are working for a company called „mechatronics and robotics“. One customer wants to have an intelligent switch as an input device connected to a microcontroller for controlling an oven. For this project „Therm-o-Safety“ he needs a combinatoric logic:

- The intelligent switch has 4 user selectable positions: $1$, $2$, $3$, $4$
- Additionally there are 2 non-selectable positions in the case of failure.
- The output $Y=1$ will activate temperature monitoring.
- The temperature monitoring has to be active for $3$ and $4$ in case of a major failure. A major failure is for example when the switch position is unclear. In this case, the input of the combinatorial circuit is „ON“.
- There are no other cases of inputs.

These requirements are put into a truth table:

Abbildung 2 shows one implementation of these requirements. The inputs `001`

… `011`

represent the inputs $1$…$4$. The cases of failure are coded with `110`

and `111`

.

The output $Y$ is activated as requested. For the two combinations `000`

and `101`

there is no output value defined. Depending on the requirements for a project these shall either better be `0`

or `1`

or the output of these does not matter. We had this „does not matter“ before: the technical term is „I don't care“, and it is written as a `-`

or a `x`

.

By this, we have done the first step in order to synthesize the requested logic.

### 3.1.2 Sum-of-Products

Now, we want to investigate some of the input combinations (= lines in the truth table). At first, we have a look at the input combination `011`

, where the output has to be $Y=1$.

If this input combination would be the only one for the output of $Y=1$, the following could be stated:

„$Y=1$ (only) when the $X_0$ is $1$ AND $X_1$ is $1$ AND $X_2$ is $0$ “. It can also be re-arranged to:

„$Y=1$ (only) when the $X_0$ is $1$ AND $X_1$ is $1$ AND $X_2$ is not $1$ “.

This statement is similar to $X_0 \cdot X_1 \cdot \overline{X_2}$. The used conjunction results only in $1$ when all inputs are $1$. The negation of $X_2$ takes account of the fact, that $X_2$ has to be $0$.

Abbildung 3 shows the boolean expression for this combination. In Abbildung 4, this boolean expression is converted into a structure with logic gates.

With the same idea in mind, we can have a look at the other combinations resulting in $Y=1$. These are the combinations `100`

and `111`

:

- For
`100`

The statement would be: „$Y=1$ (only) when the $X_0$ is $0$ AND $X_1$ is $0$ AND $X_2$ is $1$“. Similarly to the combination above this leads to: $\overline{X_0} \cdot \overline{X_1} \cdot {X_2}$. - For
`111`

, the boolean expression is ${X_0} \cdot {X_1} \cdot {X_2}$.

#### Note!

- Each row in a truth table (=one distinct combination) can be represented by a
**minterm**or**maxterm** - A
**minterm**is the conjunction (AND'ing) of all inputs, where under certain instances a negation have to be used - In a minterm an input variable with
`0`

has to be negated, in order to use it as an input for the AND.

e.g. $X_0 = 0$ AND $X_1 = 1$$ \quad \rightarrow \quad \overline{X_0} \cdot X_1$ - A minterm results in an output of
`1`

In Abbildung 5 all minterms for $Y=1$ are shown. The Abbildung 6 depicts all the logic circuits for the three minterms. These lead to the outputs $Y'$, $Y''$, and $Y'''$.

For the final step, we have to combine the single results for the minterms. The output has to be $1$ when at least one of the minterms is $1$. Therefore, the minterms have to be connected disjunctive:

\begin{align*} Y &= & Y' & \quad + & Y'' & \quad + & Y''' \\ Y &= & (X_0 \cdot X_1 \cdot \overline{X_2}) & \quad + & (\overline{X_0} \cdot \overline{X_1} \cdot {X_2}) & \quad + & ({X_0} \cdot {X_1} \cdot {X_2}) \\ \end{align*}

This leads to the logic circuit shown in Abbildung 7. Here, you can input the different combinations by clicking on the bits of the input nibble.

#### Note!

- The disjunction of the minterms is called
**sum-of-products**,**SoP**,**disjunctive normal form**or**DNF**. - When all inputs are used in each of the minterms the normal form is called
**full disjunctive normal form** - When synthesizing a logic circuit by the sum-of-products, all 'don't care' terms output $0$.

We have seen, that the sum-of-products is one tool to derive a logic circuit based on a truth table. Alternatively, it is also possible to insert an intermediate step, where the logic formula is simplified.

In the following one possible optimization is shown:

\begin{align*} Y &= & (X_0 \cdot X_1 \cdot \overline{X_2}) & \quad + & (\overline{X_0} \cdot \overline{X_1} \cdot {X_2}) & \quad + & ({X_0} \cdot {X_1} \cdot {X_2}) & \quad | \text{associative law} \\ Y &= & (\overline{X_0} \cdot \overline{X_1} \cdot {X_2}) & \quad + & (X_0 \cdot X_1 \cdot \overline{X_2}) & \quad + & ({X_0} \cdot {X_1} \cdot {X_2}) & \quad | \text{associative law } \\ Y &= & (\overline{X_0} \cdot \overline{X_1} \cdot {X_2}) & \quad + & ((X_0 \cdot X_1) \cdot \overline{X_2}) & \quad + & (({X_0} \cdot {X_1}) \cdot {X_2}) & \quad | \text{distributive law } \\ Y &= & (\overline{X_0} \cdot \overline{X_1} \cdot {X_2}) & \quad + & ((X_0 \cdot X_1) \cdot (\overline{X_2} + {X_2})) & & & \quad | \text{complementary element} \\ Y &= & (\overline{X_0} \cdot \overline{X_1} \cdot {X_2}) & \quad + & (X_0 \cdot X_1) \\ \end{align*}

### 3.1.3 Product-of-Sums

In the sub-chapter before we had a look at the combinations which generate an output of $Y=1$ by means of the AND operator. Now we are investigating the combinations with $Y=0$. Therefore, we need an operator, which results in $0$ for only one distinct combination.

The first combination to look for is `001`

.
If this input combination would be the only one for the output of $Y=0$, the following could be stated:

„$Y=0$ (only) when the $X_0$ is $1$ AND $X_1$ is $0$ AND $X_2$ is $0$ “.

With having the duality in mind (see chapter The Set of Rules) the opposite is also true:

„$Y=1$ when $X_0$ is $0$ OR $X_1$ is $1$ OR $X_2$ is $1$ “

This is the same like: $\overline{X_0} + X_1 + X_2$

The boolean operator we need here is the OR-operator.

Similarly, the combinations `010`

and `110`

can be transformed. Keep in mind, that this time we are looking for a formula with results in $0$ only for the given one distinct combination.

#### Note!

- A
**maxterm**is the disjunction (OR'ing) of all inputs, where under certain instances a negation has to be used. - In a maxterm an input variable with
`1`

has to be negated, in order to use it as an input for the OR. - A maxterm results in an output of
`0`

The Abbildung 8 shows all the maxterms for the Therm-o-Safety example.

The formulas of Abbildung 8 can again be transformed into gate circuits (Abbildung 9). Here, only for the inputs `001`

, `010`

, `110`

one of the outputs $Y'$, $Y''$ or $Y'''$ is $0$.

When these intermediate outputs $Y'$, $Y''$, and $Y'''$ are used as an input for an AND-gate the resulting output will get $0$ when at least one of the intermediate outputs is $0$. This results in another way to synthesize the Therm-o-Safety (see Abbildung 10)

Also, the product-of-sum can be simplified:

\begin{align*} Y &= & (\overline{X_0} + X_1 + X_2) & \quad \cdot & ({X_0} + \overline{X_1} + X_2) & \quad \cdot & (\overline{X_0} + \overline{X_1} + X_2) \\ &= & ... \\ Y &= & (\overline{X_0} + X_1 + X_2) & \quad \cdot & (\overline{X_0} + \overline{X_1}) \\ \end{align*}

This result from $Y$ by the sum-of-products is different compared to the result in a product-of-sums:

- product-of-sums: $Y = (\overline{X_0} \cdot \overline{X_1} \cdot {X_2}) + (X_0 \cdot X_1)$
- sum-of-products: $Y = (\overline{X_0} + X_1 + X_2) \cdot (\overline{X_0} + \overline{X_1})$

In this case, these results cannot be transformed into each other with the means of boolean rules.

#### Note!

- The disjunction of the maxterms is called
**products-of-sum**,**PoS**,**conjunctive normal form**or**CNF**. - When all inputs are used in each of the minterms the normal form is called
**full conjunctive normal form** - When synthesizing a logic circuit by the sum-of-products, all „don't care“ terms outputting $1$
- The products-of-sum is the DeMorgan dual of the sum-of-products
there are no don't care terms. Otherwise, the results cannot be transformed into each other with the means of boolean rules.*if*

## 3.2 Karnaugh Map

### 3.2.1 Introduction with the two dimensional Map

For a simple introduction, we take one step back and look at a simple example. The formula $Y(X_1, X_0) = X_0 \cdot X_1$ combines two variables. Therefore, it has two dimensions. In Abbildung 11 (a) the truth table of this is shown. The leftmost column shows the decimal interpretation of the binary numeral given by $X_1$, $X_0$ (e.g. $(X_1=1, X_0=0) \rightarrow 10_2=2_{10}$).

The given logic expression can also be interpreted in a coordinate system, with the following conditions:

- There are only two coordinates on each axis possible:
`0`

and`1`

. - There are as much axis as variables given in the logic: For the example, we have two variables $X_0$ and $X_0$. These are spanning a two-dimensional system.
- On the possible positions, the results $Y$ have to be shown.

In the following pictures of this representation, the values are shown:

- green dot, when the result is
`1`

- red dot, when the result is
`0`

- grey dot, when the result is
`don't care`

For the given example the coordinate system shows four possible positions: These are the edges of a square (Abbildung 11 (b)).

We will in the future write this as in Abbildung 11 (c). This diagram is also called **karnaugh map** (often called k-map or KV map).
In the shown Karnaugh map the coordinate $X_0$ is shown vertically and $X_1$ horizontally. Similar to the coordinate system the upper left cell is for $X_1=0$ and $X_0=0$. The upper right cell is for $X_1=1$ and $X_0=0$, and the lower right one is for $X_1=1$ and $X_0=1$. In each cell the result $Y(X_1, X_0)$ is shown as a large number - similar to the color code in the coordinate system. The small number is the decimal representation of the number given by $X_1$ and $X_0$. This index is often *not* explicitly shown in the Karnaugh map, but simplifies the fill-in of the map and helps for the start.

The Karnaugh map will help us in the following to find simplifications of more complex logic expressions.

### 3.2.2 The three-dimensional Karnaugh Map

In this subchapter, we will have a look at our example of therm-o-safety. For this example, we found two possible gate logic which can produce the required output. We have also seen, that optimizing the terms (i.e. the min- or maxterms) is often possible. But we do not know how we can find the optimum implementation.

For this, we try to interpret the inputs of our example again as dimensions in a multidimensional space. The three input variables $X_0$, $X_1$, $X_2$ span a 3-dimensional space. The point `000`

is the origin of this space. The three combinations `001`

, `010`

, `100`

are onto the $X_0$-, $X_1$-, and $X_2$-axis, respectively (see Abbildung 12 (a)). The other combinations can be reached by adding these axis values together (see Abbildung 12 (b)+(c)). This is similar to the situation of a two-dimensional or three-dimensional vector. Three inputs result in this representation in the edges of a cube.

In the Abbildung 12 (d) the situation $X_0=1$, $X_1=1$, $X_2=0$ is shown.

There is also an alternative way to look at this representation:

- The formula $Y=1$ (independent from inputs $X_0...X_{n-1}$) lead to all positions are
`1`

- A single input equal
`1`

( $Y:\, X_0=1$, independent from all other inputs, i.e. all others are`don't care`

) leads in the three-dimensional example to the edges of a side surface of the cube.

In out example $\color{violet}{X_1=1}$ lead to the situation shown in Abbildung 13 (a). When investigating the shown green dots`0`

,0*1*`0`

,1*1*`1`

,0*1*`1`

it is visible that the middle value (= the value for $X_1$) is the same.1*1*

Generally: A single input equal`1`

(independent from all other inputs) lead to a structure one dimension smaller than the number of inputs (In our example: 3 inputs $\rightarrow$ two-dimensional structure = surface). - Multiple given inputs equal
`1`

lead to smaller structures correspondingly. In our example: $\color{blue}{X_0=1}$ and $\color{violet}{X_1=1}$ ($=\color{blue}{X_0}\cdot \color{violet}{X_1}$) result in the two edges on a corner of the cube (Abbildung 13 (b)). For these coordinates (`0`

,*11*`1`

) the last two values are the same.*11* - A minterm (=
`1`

as an output) in our example is given by the intersection of all surfaces for the individual dimensions. In our example:$\color{blue}{X_0=1}$ and $\color{violet}{X_1=1}$ and $\color{brown}{X_2=0}$ ($=\color{blue}{X_0}\cdot \color{violet}{X_1}\cdot \color{brown}{\overline{X_2} }$) result in the two edges on a corner of the cube (Abbildung 13 (c))

On the right side of Abbildung 13 also the truth table is shown. There, the combinations for each side surface of the cube are marked with the corresponding color.

With this representation in mind, we can simplify other representations much more simpler.

One example for this would be to represent the formula: $Y= X_0 \cdot X_1 \cdot \overline{X_2} + X_2 \cdot X_1 + X_0 \cdot X_1 $. By drawing this into the cube one will see that it represents only a side surface of the cube. It can be simplified into $Y=X_1$.

We can also try to interpret our Therm-o-Safety truth table. The Abbildung 14 shows the corresponding cube. The problem here is, that it is a bit unhandy to reduce a three-dimensional cube onto a flat monitor or paper. It will also get more stressful for higher dimensions.

Therefore, we try to find a better way to sketch the coordinates, before we simplify our Therm-o-Safety. For the three-dimensional Karnaugh map, it is a good idea „unwrap“ the cube. This can be done as shown in Abbildung 15.

Out of the flattened cube, we can derive the three-dimensional Karnaugh map (see Abbildung 16). Generally, there are different ways to show the Karnaugh map.

- One way is to show the variable names of the dimensions in the corner. Be aware, that the order of the numbers in the horizontal direction is
`0,0`

,`0,1`

,`1,1`

,`1,0`

and not in ascending order! - In other ways, the columns/rows related to the dimension are marked with lines. In this representation only the
`TRUE`

(=`1`

) position of the coordinate is highlighted.

In Abbildung 16 the dimensions are additionally marked with colors.

In the following chapters mainly the visualization shown in Abbildung 16 (b) is used.

With this representation, we can now try to read out the logic terms for the Therm-o-Safety from its Karnaugh map. Abbildung 17 shows the neighboring combinations:

- In light brown the group (
`011`

+`111`

) resp. position 3 and position 7 are shown. This can be simplified into $X_0 \cdot X_1$ - In light blue the group (
`101`

+`111`

) resp. position 5 and position 7 are shown. This can be simplified into $X_0 \cdot X_2$. This group seems not to be needed, since`111`

is already in the light brown group. - In light violet the group (
`000`

+`100`

) resp. position 0 and position 4 are shown. This can be simplified into $\overline{X_0} \cdot \overline{X_1}$

The first two groups are also neighboring cells in the Karnaugh map. For the last one, we have to keep in mind, that we had to cut the surface of the cube in order to flatten it. Therefore, these cells are also neighboring. This leads to the conclusion, that the borders of the Karnaugh map are connected to opposite borders!

For our example, the result would be: (light brown the group) + (light violet the group) $= X_0 \cdot X_1 + \overline{X_0} \cdot \overline{X_1}$

We also have to remember, that there are multiple permutations to show exactly the same logic assignment. This can be interpreted as other ways to unwrap the cube. The Abbildung 18 shows the variant from before at (a). In the image (b) the coordinates are mixed ($X_0 \rightarrow X_1$, $X_1 \rightarrow X_2$, $X_2 \rightarrow X_0$). In the image (c) the position of the origin is not in the upper left corner anymore.

Independent of the permutation, the grouped cells are always neighboring each other.

#### Note!

- The Karnaugh map is an alternative way to represent a logical relation.
- There are possible grouping in order to simplify the logic.
- We need to take care of whether a group is needed or not. (will be done in chapter 3.3)

### 3.2.3 Four-Dimensional Karnaugh Map

For the four-dimensional Karnaugh map, the situation becomes more complicated in the classical coordinate system. The respective object would be a four-dimensional hypercube (see Abbildung 19). This is hard to print in a two-dimensional layout like on a website or on a page. Here, a four-dimensional Karnaugh map might be a good representation.

In order to create a four-dimensional Karnaugh map, we look at first how the two and three-dimensional Karnaugh maps can be derived. The Abbildung 20 (a) shows, that the two-dimensional Karnaugh map can be created from a one-dimensional one by folding the table on the x-axis and adding $10_2$ to all values. The additional line is marked with the new dimension $X_1$.

The three-dimensional one is created by folding the table on the *y-axis* and adding $100_2$ to all values. The additional line is marked with the new dimension $X_2$ (Abbildung 20 (b) ). Be aware, that the $X_0$ marking now has to be extended - it is also folded to the right.

The four-dimensional one is created by folding the table again on the *x-axis* and adding $100_2$ to all values. The additional line is marked with the new dimension $X_2$ (Abbildung 20 (c) ).

By this, we can visually derive the four-dimensional Karnaough map.

Again, there are alternative ways to show the Karnaugh map. To get the index of each cell one can easily add up the values of the dimension $X_0 ... X_3$. This is shown in an example in Abbildung 21.

For getting used to the four-dimensional Karnaugh map, we expand our Therm-o-Safety: Instead of four user-selectable levels for the oven, version 2.0 will have seven. The temperature monitoring ($Y=1$) has to be active starting with level $4$. Additionally, the Therm-o-Safety 2.0 has three non-selectable positions for the case of failure, where the last one needs active temperature monitoring. Some of the combinations (`0000`

, `1000`

, `1001`

, `1010`

, `1011`

, `1100`

) are not needed.

The truth table of the new Therm-o-Safety 2.0 is shown in Abbildung 19

Now we can fill the Karnaugh map:

#### Disjunctive Form

The Karnaugh map can now be used to either get the disjunctive form (= sum-of-products) when looking at the groups of $1$s, or the conjunctive form (= product-of-sums) out of the groups of $0$s. We will first look at the disjunctive form. There are multiple ways to group the minterms. One is shown here:

The group $I$ in Abbildung 24 can be expanded since there are don't care states nearby:

This can be transformed back into a formula. We can derive the boolean terms from the Karnaugh map with the following steps (see Abbildung 26):

- Investigate every single group individually.
- For the sum-of-products, each group has to be the product (AND-combination) of the inputs/coordinates.
- Then the formula can be derived as the sum-of-products…

The given groups are created as a product as follows:

- group $I$: all of this minterms are in the columns of $\color{green}{X_3}$. They are also all in the columns of $\color{blue}{X_1}$ and in the rows of $X_0$. This leads to $X_0 \cdot \color{green}{X_3} \cdot \color{blue}{X_1}$
- group $II$: all of this minterms are in the columns of $\color{green}{\overline{X_3}}$. They are also all in the rows of $\color{magenta}{X_2}$. This leads to $\color{green}{\overline{X_3}} \cdot \color{magenta}{X_2}$

Out of these groups we can get the full formula by disjunctive combination: \begin{align*} Y &= X_0 \cdot \color{green}{X_3} \cdot \color{blue}{X_1} + \color{green}{\overline{X_3}} \cdot \color{magenta}{X_2} \end{align*}

#### Conjunctive Form

Similarly, we look at the conjunctive form. Here we have to find groups of $0$s. One way of grouping the maxterms is shown here:

The optimization would be:

Also here, we can derive the boolean terms from the Karnaugh map with the following steps (see Abbildung 29):

- Investigate every single group individually.
- For the product-of-sum, each group has to be the sum (OR-combination) of the inputs/coordinates.

Be aware, that for the OR-combination we get the groups of $0$s as the „rest“ of not-marked cells! - In the end, the formula can again be derived, now as the product-of-sums.

\begin{align*} Y &= ( \color{magenta}{X_2}) \cdot( \color{green}{\overline{X_3}} + \color{blue}{X_1}) \cdot( \color{green}{\overline{X_3}} + {X_0}) \end{align*}

Beyond the maxterms this formula can be optimized to

\begin{align*} Y &= \color{magenta}{X_2} \cdot( \color{green}{\overline{X_3}} + (\color{blue}{X_1} \cdot {X_0}) ) \end{align*}

When comparing the disjunctive solution ($X_3 \cdot X_1 \cdot X_0 + \cdot \overline{X_3} \cdot X_2 $) with the conjunctive one ($X_2 \cdot X_1 \cdot X_0 + \cdot \overline{X_3} \cdot X_2 $) we see, that these are definitely different. The given truth table had don't care states. This can be taken as $0$s or $1$s - and therefore combined in groups of $0$s or groups of $1$s.

### 3.2.4 Rules for the Karnaugh map

We saw, that with the Karnaugh map, we can analyze logic combinations much better. But to use this tool right we have first to look at some definitions.

#### Allowed Groups

As we have seen, the groups in the Karnaugh map are created by the combination of the inputs. By this, only distinct groups are allowed. These can only have $2^{n-1}$ cells for $n$ inputs (= dimensions).

For a four-dimensional Karnaugh map only the following groups are possible:

- groups of 1: Derived from 4 inputs, e.g. $X_3 \cdot \overline{X_2} \cdot \overline{X_1} \cdot \overline{X_0}$
- groups of 2: Derived from 3 inputs, e.g. $ \overline{X_3} \cdot {X_1} \cdot \overline{X_0}$
- groups of 4: Derived from 2 inputs, e.g. ${X_2} \cdot {X_0}$
- groups of 8: Derived from 1 input , e.g. $\overline{X_1} $

Keep in mind, that not all groups of 2, 4, or 8 cells are allowed. In Abbildung 31 some not allowed groups are shown

#### Necessary and Important Groups

In the sub-chapter before the creation of the groups was done rather intuitively. This shall be explained more structured here. This needs some more definitions.

#### Note!

**implicant**(I) is what we called „group“ up to now. An implicant can be any allowed combination of minterms ($1$s) or maxterms ($0$s).**prime implicant**(PI) is an implicant, which is not completely included in any other possible implicant.**core prime implicant**(CPI) is a prime implicant, containing at least one term, which is not covered with any other prime implicant.

The (non-core) prime implicant additionally are separated into:

**Redundant prime implicants**: These are prime implicants, which are fully contained in a disjunction of multiple core prime implicants.**Selective prime implicants**: These are prime implicants, which are neither core prime implicants nor redundant prime implicants.

Abbildung 32 depicts the different implicants in one example.

In order to get all the necessary implicants the following has to be considered:

**All core prime implicant**are needed. They contain terms, which are not covered anywhere else.**No redundant prime implicant**is needed. They are covered by core prime implicants**Selective prime implicant**need to be investigated. Some of them are necessary, depending on the solution (see Abbildung 33)

#### higher dimensional Karnaugh Maps

For higher dimensional Karnaugh maps the implicants look more am more unintuitive (see Abbildung 34). The Karnaugh map is in our course used to understand the different types of implicants (there will be only three and four-dimensional maps in the exam).

When solving higher dimensional boolean problems the Quine–McCluskey algorithm or a heuristic approach, like the ESPRESSO algorithm can be used. Languages like the Hardware Description Language (HDL) often come with implemented optimizers in the development environment.

### Exercises

- Online: Normalforms and K-map
- in the Tool digital: via
`Analysis » Synthesis`

- filling the truth table
- change the variable names by right click on the name
`Kmap » Kmap`

#### Exercise 3.1.1 CNF, DNF, Optimization

The following truth table is given.

1. Write down the DNF for the function table.

2. Minimize the DNF step by step, starting the used boolean rules

3. Write down the CNF for the function table

4. Minimize the CNF step by step, starting the used boolean rules

5. Show, that the DNF can be converted into the CNF (duality principle)

The distributive law ($a\cdot(b+c)=a\cdot b + a \cdot c$) can be generalized - similar to the conventional algebra: \begin{align*} (a+b)\cdot(c+d) = a\cdot c + a \cdot d + b\cdot c + b\cdot d \end{align*}

This also works for the dual situation: \begin{align*} (a\cdot b)+(c \cdot d) = (a + c) \cdot (a + d) \cdot (b + c) \cdot (b + d) \end{align*}

This can be applied on the DNF: \begin{align*} Y &= \overline{X2}\cdot \overline{X1} \cdot X0 + \color{blue}{{X2}\cdot \overline{X1} \cdot X0} + {X2}\cdot {X1} \cdot X0 \\ &= \overline{X2}\cdot \overline{X1} \cdot X0 + \color{blue}{{X2}\cdot \overline{X1} \cdot X0} + {X2}\cdot {X1} \cdot X0 \\ \end{align*}

6. Create a Karnaugh map and mark the smallest number of the largest prime implicants. Derive the minimized DNF and CNF from the map.

#### Exercise 3.1.2 Implementation of a BCD-to-7-Segment Decoder

A full BCD-to-7-Segment Decoder with positive logic shell be developed As a base, the following truth table shall be used.

- Write down the DNF and CNF for the function table and the outputs a…g. Use the don't care states wisely.
- Optimize the functions by the use of 7 Karnaugh maps.
- Show, that the minimized DNF can be converted into the CNF (duality principle)
- Create a Karnaugh map and mark the smallest number of the largest prime implicants. Derive the minimized DNF and CNF from the map. Mark the smallest number of the largest prime implicants.

Write down the derived, smallest formula based on CNF and DNF. - Check the expressions with the program „Digital“.
- Use at first only the DNF and CNF.
- After this, use the minimized DNF and the minimized DNF
- Check whether a 7-Segment-Display works fine with the created logic

#### Exercise 3.1.3 Further Questions

- Write a random allocation of $0$s and $1$s to the variations of inputs. Write the min- and maxterms
- Compare the results with the output given here (the output $y$ can be changed by clicking onto the grey cells)
- Use the interactive example and activate „Hide result“ plus the push of the „Random example“ button in order to get an individual test for a minterm optimization via a Karnaugh map.