Turito Academy

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If <img src="data:image/png;base64,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" class="Wirisformula" alt="f colon R not stretchy rightwards arrow left parenthesis 0 comma 1 right square bracket" width="80" height="17" style="vertical-align:-3px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»f«/mi»«mo»:«/mo»«mi»R«/mi»«mo stretchy=¨false¨»§#8594;«/mo»«mo»(«/mo»«mn»0«/mn»«mo»,«/mo»«mn»1«/mn»«mo»]«/mo»«/math»'/> defined by <img src="data:image/png;base64,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" class="Wirisformula" alt="f left parenthesis x right parenthesis equals fraction numerator 1 over denominator x squared plus 1 end fraction comma text  then  end text f text  is  end text" width="176" height="38" style="vertical-align:-15px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi»f«/mi»«mo»(«/mo»«mi»x«/mi»«mo»)«/mo»«mo»=«/mo»«mfrac»«mn»1«/mn»«mrow»«msup»«mi»x«/mi»«mn»2«/mn»«/msup»«mo»+«/mo»«mn»1«/mn»«/mrow»«/mfrac»«mo»,«/mo»«mtext»§#160;then§#160;«/mtext»«mi»f«/mi»«mtext»§#160;is§#160;«/mtext»«/math»'/>

Solution for the question - if f:r rarr(0,1] defined by f(x)=(1)/(x^(2)+1), then f is one-one but not ontonot one-one but ontonot ontonot one-one

If f:r rarr(0,1] defined by f(x)=(1)/(x^(2)+1), then f is-Turito

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An ant goes from P to Q on a circular path in 20 second Radius OP=10 m . What is the average speed and average velocity of it ? <img src="data:image/png;base64,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" 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Solution for the question - an ant goes from p to q on a circular path in 20 second radius op=10 m .what is the average speed and average velocity of it ? pim5^(-1),sqrtgmm^(-1)

An ant goes from p to q on a circular path in 20 second radius -Turito

Which of the following functions is not injective?

Solution for the question - which of the following functions is not injective? k(x)=e^(-x),x in[0,oo) '/> h(x)=x^(2)+4x-5,x in(0,oo) '/> g(x)=x+(1)/(x),xin(0,oo) '/>

Which of the following functions is not injective? -Turito

The graph of position <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAKCAYAAAC0VX7mAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAABGJhU0UAAAAJufgqOgAAADtJREFUeNpjYCAN1AKxCgMVwXIg/gTEkdQyUByIzwDxfyCeDcQcxGj6TwJeRU0XzgRitkEXhlSP5WEAAE63Fcy1xpB8AAAAYXRFWHRNYXRoTUwAPG1hdGggeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzE5OTgvTWF0aC9NYXRoTUwiPjxtbyBzdHJldGNoeT0iZmFsc2UiPiYjeDIxOTI7PC9tbz48L21hdGg+vTIOGwAAAABJRU5ErkJggg==" class="Wirisformula" alt="not stretchy rightwards arrow" width="20" height="10" style="vertical-align:-1px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mo stretchy=¨false¨»§#8594;«/mo»«/math»'/> time shown in the figure for a particle is not possible because .... <img src="data:image/png;base64,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" alt="" />

Solution for the question - the graph of position vec(r) time shown in the figure for a particle isnot possible because .... 'l a,b and c are trueacceleration can not have two values at one time

The graph of position vec(r) time shown in the figure for a p-Turito

Iron is a ferromagnetic substance and ferromagnetic substance obeys Curie-Weiss law above its Curie temperature.

Solution for the question - curie-weiss law is obeyed by iron above curie temperaturebelow curie temperature

Curie-weiss law is obeyed by iron-Turito

For permanent magnet we prefer a material with high retentivity (so as to make a stronger magnet) and high coercivity (so that magnetization may not be wiped out easily). For electromagnet we prefer high saturated magnetism, low coercivity and least possible area of hysteresis loop so that electromagnet develops high magnetization, is easily demagnetized and energy loss in a magnetization cycle is least. Therefore, Pis suitable for making permanent magnet and Q for making electromagnet.

If the <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACgAAAANCAYAAADbnyzoAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAABGJhU0UAAAAMyZLetQAAAPlJREFUeNpjYMAEP4D4DxA/BOK7QLwJiCUZaAO+ATETKXIqQHwBTawZiOfTwHEguy6RKhcAxEvRxIKwiFEDgOxaTqpcPRCXo4ktBGIPGjgQm10E5VZBXQ+KewMgngvEBTRKfzC7SJK7BcT/ofgLjUIOm13YsDS6Biaoo0CADYhdgPg4EKvhsOA/ERgXQLYLHbBAczAGMAfivWhi0UDcRYPQw2YXDFgC8X5sEpHQNIcMYoF4Ng0cGImn6MIpNwmIE9HE5kI1UBuA7ErGI5eGTWIdUqYQBeJQaKHNRgMHguzywiG3AZfcO6TE/QNaUErTKAeD7OIgQ27wAQCv2kWL/xABpAAAAF10RVh0TWF0aE1MADxtYXRoIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8xOTk4L01hdGgvTWF0aE1MIj48bWk+QjwvbWk+PG1vPi08L21vPjxtaT5IPC9taT48L21hdGg+kL7H5QAAAABJRU5ErkJggg==" class="Wirisformula" alt="B minus H" width="40" height="13" style="vertical-align:-1px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨ »«mi»B«/mi»«mo»-«/mo»«mi»H«/mi»«/math»'/> curves of two samples of P and Q of iron are as shown below, then which one of the following statements is correct? <img src="data:image/png;base64,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" 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Solution for the question - if the b-h curves of two samples of pand q of iron are as shown below, thenwhich one of the following statements is correct? both p and q are suitable for making electromagnets

If the b-h curves of two samples of pand q of iron are as shown-Turito

Diamagnetic materials have negative susceptibility. Thus, (c) is wrongly stated.

Among the following properties describing diamagnetism identify the property that is wrongly stated

Solution for the question - among the following properties describing diamagnetism identify theproperty that is wrongly stated the magnetic moment of individual electrons neutralize each other

Among the following properties describing diamagnetism identify-Turito

The materials for a permanent magnet should have high retentivity (so that the magnet is strong) and high coercivity (so that the magnetism is not wiped out by stray magnetic fields). As the material in this case is never put to cyclic changes of magnetization, hence hysteresis is immaterial.

Permanent magnet has properties retentivity and coercivity respectively

Solution for the question - permanent magnet has properties retentivity and coercivity respectively high-lowlow-high

Permanent magnet has properties retentivity and coercivity resp-Turito

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src="data:image/png;base64,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" class="Wirisformula" alt="X subscript m end subscript proportional to fraction numerator 1 over denominator T end fraction comma" width="64" height="35" style="vertical-align:-12px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨ »«msub»«mrow»«mi»X«/mi»«/mrow»«mrow»«mi»m«/mi»«/mrow»«/msub»«mo»∝«/mo»«mfrac»«mrow»«mn»1«/mn»«/mrow»«mrow»«mi»T«/mi»«/mrow»«/mfrac»«mo»,«/mo»«/math»'/> Therefore, <img src="data:image/png;base64,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" class="Wirisformula" alt="fraction numerator X subscript 2 end subscript over denominator X subscript 1 end subscript end fraction equals fraction numerator T subscript 1 end subscript over denominator T subscript 2 end subscript end fraction" width="71" height="44" style="vertical-align:-17px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨ »«mfrac»«mrow»«msub»«mrow»«mi»X«/mi»«/mrow»«mrow»«mn»2«/mn»«/mrow»«/msub»«/mrow»«mrow»«msub»«mrow»«mi»X«/mi»«/mrow»«mrow»«mn»1«/mn»«/mrow»«/msub»«/mrow»«/mfrac»«mo»=«/mo»«mfrac»«mrow»«msub»«mrow»«mi»T«/mi»«/mrow»«mrow»«mn»1«/mn»«/mrow»«/msub»«/mrow»«mrow»«msub»«mrow»«mi»T«/mi»«/mrow»«mrow»«mn»2«/mn»«/mrow»«/msub»«/mrow»«/mfrac»«/math»'/> <img src="data:image/png;base64,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" class="Wirisformula" alt="fraction numerator X subscript 2 end subscript over denominator 0.0060 end fraction equals fraction numerator 273 minus 73 over denominator 273 minus 173 end fraction equals fraction numerator 200 over denominator 100 end fraction equals 2" width="245" height="39" style="vertical-align:-12px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨ »«mfrac»«mrow»«msub»«mrow»«mi»X«/mi»«/mrow»«mrow»«mn»2«/mn»«/mrow»«/msub»«/mrow»«mrow»«mn»0.0060«/mn»«/mrow»«/mfrac»«mo»=«/mo»«mfrac»«mrow»«mn»273«/mn»«mo»-«/mo»«mn»73«/mn»«/mrow»«mrow»«mn»273«/mn»«mo»-«/mo»«mn»173«/mn»«/mrow»«/mfrac»«mo»=«/mo»«mfrac»«mrow»«mn»200«/mn»«/mrow»«mrow»«mn»100«/mn»«/mrow»«/mfrac»«mo»=«/mo»«mn»2«/mn»«/math»'/> Or <img src="data:image/png;base64,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" class="Wirisformula" alt="X subscript 2 end subscript equals 2 cross times 0.0060 equals 0.0120" width="187" height="17" style="vertical-align:-5px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨ »«msub»«mrow»«mi»X«/mi»«/mrow»«mrow»«mn»2«/mn»«/mrow»«/msub»«mo»=«/mo»«mn»2«/mn»«mo»×«/mo»«mn»0.0060«/mn»«mo»=«/mo»«mn»0.0120«/mn»«/math»'/>

The magnetic susceptibility of a paramagnetic substance at <img src="data:image/png;base64,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" class="Wirisformula" alt="negative 73 degree" width="39" height="14" style="vertical-align:-1px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨ »«mo»-«/mo»«mn»73«/mn»«mo»°«/mo»«/math»'/> C is 0.0060, then its value at<img src="data:image/png;base64,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" class="Wirisformula" alt="negative 173 degree" width="49" height="14" style="vertical-align:-1px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨ »«mo»-«/mo»«mn»173«/mn»«mo»°«/mo»«/math»'/>C will be

Solution for the question - the magnetic susceptibility of a paramagnetic substance at -73 c is 0.0060,then its value at -173 c will be 0.0045

The magnetic susceptibility of a paramagnetic substance at -73 -Turito

Magnetic substance when kept in a magnetic field is feebly repelled or thrown out if the substance is diamagnetic.

If a magnetic substance is kept in a magnetic field then which of the following substance is thrown out?

Solution for the question - if a magnetic substance is kept in a magnetic field then which of thefollowing substance is thrown out? antiferromagnetic

If a magnetic substance is kept in a magnetic field then which -Turito

The curie temperature or curie point of a ferromagnetic material is the temperature above which it looses its characteristic ferromagnetic ability to possess a net magnetization in the absence of an external magnetic field. Hence, above curie temperature material is purely paramagnetic.

Solution for the question - curie temperature is the one above which ferromagnetic changes to paramagneticdiamagnetic changes to paramagnetic

Curie temperature is the one above which-Turito

Area enclosed by <img src="data:image/png;base64,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" class="Wirisformula" alt="B minus H" width="40" height="13" style="vertical-align:-1px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨ »«mi»B«/mi»«mo»-«/mo»«mi»H«/mi»«/math»'/> curve represents energy lost. If the area of hysteresis loop is less energy loss is low whereas if the area of hysteresis loop is large energy loss is high.

Which of the following is represented by the area enclosed by a hysteresis loop (B-H curve)?

Solution for the question - which of the following is represented by the area enclosed by a hysteresisloop (b-h curve)? susceptibility

Which of the following is represented by the area enclosed by a-Turito

For paramagnetic materials, the magnetic susceptibility gives information on the molecular dipole moment and hence on the electronic structure of the molecules in the material. The paramagnetic contribution to the molar magnetic susceptibility of a material, <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA4AAAANCAYAAACZ3F9/AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAABGJhU0UAAAAMyZLetQAAAJxJREFUeNpjYEAFR4FYhQE3AMltA2I+dAkNIF6HQ5MkEO8GYmFcptYCsRuamCgQ7wBicTyuYWAC4lVQmgHqrE1ALM1ABNAD4iIg5gDiNQT8jQEqgXghEOuQookNiBcD8RUkJxOlCWbTQqiTidK0FOpHBmjQ3yIUmixQTaZo4qFAPBefJlAUmOOQ34TFQLAmUJDb4nENKNXsZ6AGAAC9IxQgt+R0WwAAAEl0RVh0TWF0aE1MADxtYXRoIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8xOTk4L01hdGgvTWF0aE1MIj48bWk+WDwvbWk+PC9tYXRoPnJwr9AAAAAASUVORK5CYII=" class="Wirisformula" alt="X" width="14" height="13" style="vertical-align:-1px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨ »«mi»X«/mi»«/math»'/> is related to the molecular magnetic moment Mby the Curie relation <img src="data:image/png;base64,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" class="Wirisformula" alt="X equals c o n s t a n t cross times fraction numerator M over denominator T end fraction ⟹ X proportional to fraction numerator 1 over denominator T end fraction" width="203" height="35" style="vertical-align:-12px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨ »«mi»X«/mi»«mo»=«/mo»«mi»c«/mi»«mi»o«/mi»«mi»n«/mi»«mi»s«/mi»«mi»t«/mi»«mi»a«/mi»«mi»n«/mi»«mi»t«/mi»«mo»×«/mo»«mfrac»«mrow»«mi»M«/mi»«/mrow»«mrow»«mi»T«/mi»«/mrow»«/mfrac»«mo»⟹«/mo»«mi»X«/mi»«mo»∝«/mo»«mfrac»«mrow»«mn»1«/mn»«/mrow»«mrow»«mi»T«/mi»«/mrow»«/mfrac»«/math»'/>

For a paramagnetic material, the dependence of the magnetic susceptibility X on the absolute temperature is given as

Solution for the question - for a paramagnetic material, the dependence of the magnetic susceptibilityx on the absolute temperature is given as independent

For a paramagnetic material, the dependence of the magnetic sus-Turito

Susceptibility of ferromagnetic substance is

Solution for the question - susceptibility of ferromagnetic substance is 1zero<1

Susceptibility of ferromagnetic substance is-Turito

Shape of the graph of position <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAKCAYAAAC0VX7mAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAABGJhU0UAAAAJufgqOgAAADtJREFUeNpjYCAN1AKxCgMVwXIg/gTEkdQyUByIzwDxfyCeDcQcxGj6TwJeRU0XzgRitkEXhlSP5WEAAE63Fcy1xpB8AAAAYXRFWHRNYXRoTUwAPG1hdGggeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzE5OTgvTWF0aC9NYXRoTUwiPjxtbyBzdHJldGNoeT0iZmFsc2UiPiYjeDIxOTI7PC9tbz48L21hdGg+vTIOGwAAAABJRU5ErkJggg==" class="Wirisformula" alt="not stretchy rightwards arrow" width="20" height="10" style="vertical-align:-1px" role="math" data-mathml='«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mo stretchy=¨false¨»§#8594;«/mo»«/math»'/>time given in the figure for a body shows that <img src="data:image/png;base64,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" alt="" />

Solution for the question - shape of the graph of position vec(r) time given in the figure for a bodyshows that _|_ nothing can be saidthe body returns back towards the origin.

Shape of the graph of position vec(r) time given in the figur-Turito

As shown in the figure particle P moves from A to B and particle Q moves from C to D. Displacements for P and Q are  and y respectively then <img src="data:image/png;base64,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" alt="" />

Solution for the question - as shown in the figure particle p moves from a to b and particle q movesfrom c to d. displacements for p and q are and y respectivel