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16-11-2024 - Analytic Geometry - Systems of Linear Equations [EN]-[IT] by stefano.massari

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16-11-2024 - Analytic Geometry - Systems of Linear Equations [EN]-[IT]
![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23ydCXu81HxJ6YwsBFKrfYzUaXaVA9SsQy3WBx1ZjxsBqT258AbU6R23H8fG7TMukPsRY.png)



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*~~~ La versione in italiano inizia subito dopo la versione in inglese ~~~*

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**ENGLISH**
**16-11-2024 - Analytic Geometry - Systems of Linear Equations [EN]-[IT]**
With this post I would like to give a short instruction about the topic mentioned in the subject
(code notes: X_76)

***Systems of Linear Equations***
Matrices and linear applications can be combined to study systems of linear equations

Below is shown a system of linear equations with 2 equations and 2 unknowns. This system is linear and real.

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23tHbg1MP5VBkLvRr1uxPF5cedK8uGwmhH5LrszzsBcuNznZ7cs2vDbyW28L1sBcqiXhe.png)

We can also say that a system of linear equations is a set of equations in which each equation is linear and which takes the following form.

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23vsrFxbbTzy9XtSyCU4CfAhW2HPLtztt7dRdGxhGW6wEL9i2be9Pvnu8tzfg7CuUAckr.png)

Where:
a1, a2,...,an are the coefficients of the variables x1, x2,...,xn
b is the known term
n is the number of variables

The purpose of linear equations is to find the values ​​of the variables x1,x2,...,xn that satisfy the system of equations.

**Example**
Let's consider the following system:

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23tHb6m7qBx5uzwjR9WrHqLZN3ZASXeqZbf3may5PGS3jHaqA5dzgazu9KuesrUChehPs.png)

The first step we can take is to isolate the y:

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23uRKjMsJSaKrtZ6AfNXSMjF8wcxKmBMxjF5ZZqQ7cxcKLwPsaSS8gm3Qh8MyRfd5uc9T.png)

Now let's substitute the second expression y

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23tSym92rzkMzTrZbh8ZExfG6LY4qGJPiToBYAHaS2ydbXvvDmio4U2NfSAtBG1fLH9hQ.png)

Continuing with the calculations we will have that…

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23tHbr9ykpvzg8WBZTnCSs4VDrrL5tF48M3rKcf6DxfPvjc3LNMutAe6eR3Ks2tP5djGw.png)

Now let's calculate y
Let's go back to the first equation and replace x with the value we just found, that is 9/5.
We will get the following:

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23tcNRVykoYs1NgfCPoGvzhfAj1u6dHiCdBNL3PY9oX4i1UwWm8rePEu7eUzMMLRDH771.png)

**Result**
So the final result will be:
**X = 9/5, y = 7/5**

**Matrix representation**
We can write the equation described above in matrix form and it turns out as follows:

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23tmm5sZGrQsTF3wKLfLvR4TkkkEZuDnerDuycazvg49tsiTi8uKTyToGkb4DQihMdLuZ.png)

Where:
Matrix A contains the coefficients

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23viTUFX15NRdZaY4CDXp5mp4uzpR5FNGPhKPRTRqDuXwJ6jL22YK7XXvvzjqhyNHPeLX.png)

Vector X contains the unknowns

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23u6YrXjsFgHKUNJEiE8kZvkG4VWbAzARiZFHkcLmjBs4i82NBVLUAtNUV2XjpLNxUSg5.png)

Vector B contains the known terms

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23tSzR72tZKMMeNcfHu9GLmdX5RpDp1A6pQZvBKeau4N9E3ATuR3RjMmUaaM98KrGdQkA.png)

***Conclusions***
_To solve the linear equation of matrices we can use the Gaussian elimination method or other techniques matrix.

***Question***
Linear equations between matrices are a not very common topic, did you study them at school?





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**[ITALIAN]**
**16-11-2024 - Geometria analitica - Sistemi di equazioni lineari [EN]-[IT]**
Con questo post vorrei dare una breve istruzione a riguardo dell’argomento citato in oggetto
(code notes: X_76)

***Sistemi di equazioni lineari***
Le matrici e le applicazioni lineari possono essere combinati per studiare i sistemi di equazioni lineari

Qui di seguito è mostrato un sistema di equazioni lineari con 2 equazioni e 2 incognite. Questo sistema è lineare e reale.

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23tHbg1MP5VBkLvRr1uxPF5cedK8uGwmhH5LrszzsBcuNznZ7cs2vDbyW28L1sBcqiXhe.png)

Possiamo dire anche che un sistema di equazioni lineari è un insieme di equazioni in cui ogni equazione è lineare e che assume la seguente forma.

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23vsrFxbbTzy9XtSyCU4CfAhW2HPLtztt7dRdGxhGW6wEL9i2be9Pvnu8tzfg7CuUAckr.png)

Dove:
a1, a2,...,an sono i coefficienti delle variabili x1, x2,...,xn
b è il termine noto
n è il numero di variabili

Lo scopo delle equazioni lineari è trovare i valori delle variabili x1,x2,...,xn che soddisfano il sistema di equazioni.

**Esempio**
Consideriamo il sistema seguente:

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23tHb6m7qBx5uzwjR9WrHqLZN3ZASXeqZbf3may5PGS3jHaqA5dzgazu9KuesrUChehPs.png)

Il primo passo che possiamo fare è isolare la y:

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23uRKjMsJSaKrtZ6AfNXSMjF8wcxKmBMxjF5ZZqQ7cxcKLwPsaSS8gm3Qh8MyRfd5uc9T.png)

Passiamo ora a sostituire nella seconda espressione la y

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23tSym92rzkMzTrZbh8ZExfG6LY4qGJPiToBYAHaS2ydbXvvDmio4U2NfSAtBG1fLH9hQ.png)

Continuando con i calcoli avremo che…

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23tHbr9ykpvzg8WBZTnCSs4VDrrL5tF48M3rKcf6DxfPvjc3LNMutAe6eR3Ks2tP5djGw.png)

Ora passiamo a calcolare y
Riprendiamo la prima equazione e sostituiamo la x con il valore che abbiamo appena trovato, cioè 9/5.
Otterremo quanto segue:

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23tcNRVykoYs1NgfCPoGvzhfAj1u6dHiCdBNL3PY9oX4i1UwWm8rePEu7eUzMMLRDH771.png)

**Risultato**
Quindi il risultato finale sarà:
**X = 9/5, y = 7/5**

**Rappresentazione con matrice**
Possiamo scrivere l’equazione prima descritta in forma di matrice e risulta come segue:


![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23tmm5sZGrQsTF3wKLfLvR4TkkkEZuDnerDuycazvg49tsiTi8uKTyToGkb4DQihMdLuZ.png)

Dove:
La matrice A contiene i coefficienti

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23viTUFX15NRdZaY4CDXp5mp4uzpR5FNGPhKPRTRqDuXwJ6jL22YK7XXvvzjqhyNHPeLX.png)

il vettore X contiene le incognite

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23u6YrXjsFgHKUNJEiE8kZvkG4VWbAzARiZFHkcLmjBs4i82NBVLUAtNUV2XjpLNxUSg5.png)

Il vettore B contiene i termini noti

![image.png](https://files.peakd.com/file/peakd-hive/stefano.massari/23tSzR72tZKMMeNcfHu9GLmdX5RpDp1A6pQZvBKeau4N9E3ATuR3RjMmUaaM98KrGdQkA.png)

***Conclusioni***
_Per risolvere l’equazione lineare delle matrici possiamo usare il metodo di eliminazione di Gauss o altre tecniche matriciali.

***Domanda***
L'equazioni lineari tra matrici è un argomento poco diffuso, le avete studiate a scuola?

**THE END**


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@adese ·
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