Physics · Mathematical Tools

Logarithms & Exponentials

Decay is an exponential, and growth is its mirror image. Radioactivity, capacitor charging, the cooling of a hot body — all three obey the same function, \(e^x\), and all three are tamed by the same inverse, the natural logarithm \(\ln x\). This deep-dive builds the exponential and the logarithm from their defining properties, lays out the log laws as levers, fixes the derivative and integral that physics relies on, and then turns to the half-life relation and the NEET applications where these tools actually earn their place.

The exponential function eˣ

The exponential function \(e^x\) is built on the base \(e \approx 2.718\), an irrational constant as fundamental as \(\pi\). What singles out \(e\) from every other base is one property: the curve \(y = e^x\) has, at every point, a slope exactly equal to its own height. No other base does this — \(2^x\) and \(10^x\) grow with slopes proportional to, but not equal to, their heights. This self-replicating behaviour is the reason \(e\) appears in every natural process whose rate of change is proportional to the amount present.

The exponential obeys the index laws you already know, now with a continuous exponent: \(e^a \cdot e^b = e^{a+b}\), \(e^a / e^b = e^{a-b}\), and \((e^a)^b = e^{ab}\). Two reference values anchor the curve: \(e^0 = 1\), so every exponential passes through the point \((0,1)\); and \(e^{-x} = 1/e^x\), so the decaying exponential is simply the growing one reflected across the vertical axis. As \(x \to +\infty\), \(e^x\) climbs without bound; as \(x \to -\infty\), it sinks toward zero but never reaches it.

y x, t 1 e ˣ (growth) e⁻λᵗ (decay)
The growing exponential \(e^x\) and the decaying exponential \(e^{-\lambda t}\) are reflections of each other. Both cross the vertical axis at the value 1; the decay curve approaches zero asymptotically without ever touching it.

Natural log vs common log

The logarithm answers the inverse question: to what power must the base be raised to give a number? The natural logarithm \(\ln x\) uses base \(e\), so \(\ln x = y\) means \(e^y = x\). The common logarithm \(\log_{10} x\) uses base 10, so \(\log_{10} x = y\) means \(10^y = x\). The two are exact inverses of their respective exponentials: \(\ln(e^x) = x\) and \(e^{\ln x} = x\); likewise \(\log_{10}(10^x) = x\).

The two logarithms differ only by a constant factor. Since \(x = 10^{\log_{10} x}\) and taking \(\ln\) of both sides gives \(\ln x = (\ln 10)\log_{10} x\), and \(\ln 10 \approx 2.303\), the bridge is

\[ \ln x = 2.303 \, \log_{10} x. \]

Physics decay and circuit problems use \(\ln\) because the natural form \(e^{-\lambda t}\) arises directly from the rate equation. Physical-chemistry quantities such as pH and pK are defined on base 10 and use \(\log_{10}\). Mixing the two is the most expensive routine error in this topic, because every answer is then wrong by the factor 2.303.

The log laws

The log laws convert multiplication into addition and powers into multipliers. They hold for any base; we state them for \(\ln\) because that is the physics workhorse, but the same forms apply to \(\log_{10}\). These four identities are the only algebra you need to push exponentials around.

LawIdentityWhat it does
Product\(\ln(ab) = \ln a + \ln b\)The log of a product is the sum of the logs.
Quotient\(\ln\!\left(\dfrac{a}{b}\right) = \ln a - \ln b\)The log of a ratio is the difference of the logs.
Power\(\ln(a^n) = n\,\ln a\)An exponent drops to the front as a multiplier.
Change of base\(\log_b a = \dfrac{\ln a}{\ln b}\)Re-expresses any base through the natural log.

Three standard values are worth memorising for fast estimation: \(\ln 1 = 0\) (since \(e^0 = 1\)), \(\ln e = 1\), and \(\ln 2 \approx 0.693\). The last is the constant of the half-life and appears in almost every decay calculation NEET poses. Note the domain restriction — the logarithm of a non-positive number is undefined, because no real power of a positive base yields zero or a negative result.

Derivative and integral

Two calculus facts are all that physics demands of this function, and both are short. The exponential is its own derivative, and the natural log is the integral of the reciprocal.

OperationResultWhere it bites
\(\dfrac{d}{dx}\,e^x\)\(e^x\)The function equal to its own slope; underlies all decay.
\(\dfrac{d}{dx}\,\ln x\)\(\dfrac{1}{x}\)Natural log only; for \(\log_{10}\) multiply by 0.4343.
\(\dfrac{d}{dt}\,e^{-\lambda t}\)\(-\lambda\,e^{-\lambda t}\)Chain rule: the decay constant comes out front.
\(\displaystyle\int \dfrac{1}{x}\,dx\)\(\ln|x| + C\)The \(n=-1\) exception to the power rule.
\(\displaystyle\int e^{-\lambda t}\,dt\)\(-\dfrac{1}{\lambda}\,e^{-\lambda t} + C\)Chain rule in reverse; capacitor and decay totals.

The chain rule is what makes \(\dfrac{d}{dt}e^{-\lambda t} = -\lambda e^{-\lambda t}\). The inside function is \(-\lambda t\); its derivative \(-\lambda\) is pulled to the front. This single result is the engine behind decay: it says the rate of change of an exponentially decaying quantity is proportional to the quantity itself, with the constant of proportionality being \(-\lambda\). Run that statement backwards — "the rate of decrease is proportional to the amount present" — and you arrive at exactly the differential equation \(dN/dt = -\lambda N\), whose solution is \(N = N_0 e^{-\lambda t}\).

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Related drill

The chain rule and these standard derivatives are developed in full in differentiation — basics for physics, with the reverse process in integration — basics for physics.

Growth, decay and the time constant

Whenever the rate of change of a quantity is proportional to the quantity itself, the solution is exponential. A positive proportionality gives growth, \(N = N_0 e^{+kt}\); a negative one gives decay, \(N = N_0 e^{-\lambda t}\). The two share a shape and a method — take the natural log of both sides to linearise, turning the curve into a straight line whose slope is the rate constant.

Decay: \(N = N_0 e^{-\lambda t}\)Growth: \(N = N_0 e^{+kt}\)
BehaviourFalls toward 0 as \(t \to \infty\)Rises without bound
Characteristic timeHalf-life \(T_{1/2} = \dfrac{\ln 2}{\lambda}\)Doubling time \(T = \dfrac{\ln 2}{k}\)
Linear form\(\ln N = \ln N_0 - \lambda t\)\(\ln N = \ln N_0 + kt\)
Slope of \(\ln N\) vs \(t\)\(-\lambda\)\(+k\)
NEET examplesRadioactivity, RC discharge, coolingRC charging (as \(1-e^{-t/RC}\)), avalanche

The time constant \(\tau\) is the natural ruler of an exponential. Writing decay as \(N = N_0 e^{-t/\tau}\), the constant \(\tau\) is the time for \(N\) to fall to \(1/e \approx 37\%\) of its initial value. For radioactivity \(\tau = 1/\lambda\); for an RC circuit \(\tau = RC\); for an LR circuit \(\tau = L/R\). The half-life is a different reference level on the same curve — the time to reach 50% — and the two are linked by \(T_{1/2} = \tau \ln 2 \approx 0.693\,\tau\). NEET routinely asks students to slide between \(\tau\), \(\lambda\) and \(T_{1/2}\), and to read \(\lambda\) off the slope of a \(\ln N\) versus \(t\) plot.

Half-life from the decay constant

The half-life is defined as the time for a decaying quantity to fall to half its starting value. Setting \(N = N_0/2\) in \(N = N_0 e^{-\lambda t}\) gives \(\tfrac{1}{2} = e^{-\lambda T_{1/2}}\). Taking the natural log of both sides and using \(\ln(1/2) = -\ln 2\):

\[ -\ln 2 = -\lambda T_{1/2} \quad\Longrightarrow\quad T_{1/2} = \frac{\ln 2}{\lambda} = \frac{0.693}{\lambda}. \]

The power of the half-life is that it repeats. After each interval \(T_{1/2}\) the amount halves again, independent of where you started, because the exponential has no memory. After \(n\) half-lives the fraction remaining is \((1/2)^n\): one half, then a quarter, then an eighth, and so on. This is captured equivalently by \(N = N_0 (1/2)^{t/T_{1/2}}\), which is just \(N_0 e^{-\lambda t}\) rewritten.

Worked examples

Example 1 — Simplify with the log laws

Simplify \(\ln\!\left(\dfrac{a^3 b}{c^2}\right)\) into a sum of single logarithms, and hence express \(t\) from \(N = N_0 e^{-\lambda t}\).

Apply quotient then product then power. The quotient law splits numerator from denominator: \(\ln(a^3 b) - \ln(c^2)\). The product law splits the numerator: \(\ln(a^3) + \ln b - \ln(c^2)\). The power law lowers the exponents: \(\boxed{3\ln a + \ln b - 2\ln c}\).

Now invert the decay equation. Divide by \(N_0\): \(N/N_0 = e^{-\lambda t}\). Take \(\ln\): \(\ln(N/N_0) = -\lambda t\). By the quotient law, \(\ln N - \ln N_0 = -\lambda t\), so \(t = \dfrac{1}{\lambda}\ln\!\left(\dfrac{N_0}{N}\right)\). The same log laws that simplify an algebraic expression are what extract time from a decay curve.

Example 2 — Half-life calculation

A radioactive sample has a decay constant \(\lambda = 0.0231~\text{s}^{-1}\). (a) Find its half-life. (b) What fraction of the sample remains after 90 s?

(a) Half-life. \(T_{1/2} = \dfrac{\ln 2}{\lambda} = \dfrac{0.693}{0.0231} = 30~\text{s}\).

(b) Fraction after 90 s. Ninety seconds is exactly three half-lives, since \(90/30 = 3\). The fraction remaining is \((1/2)^3 = 1/8\). As a check via the exponential: \(e^{-\lambda t} = e^{-0.0231 \times 90} = e^{-2.079} = e^{-3\ln 2} = (1/2)^3 = 1/8\). Only \(12.5\%\) of the sample survives.

Example 3 — Time from a decay ratio

A capacitor discharges through a resistor with time constant \(\tau = RC = 2~\text{ms}\). How long does the charge take to fall to \(20\%\) of its initial value? Take \(\ln 5 \approx 1.609\).

Set up the ratio. The charge follows \(q = q_0 e^{-t/\tau}\). We want \(q/q_0 = 0.20 = 1/5\), so \(e^{-t/\tau} = 1/5\).

Take the natural log. \(-t/\tau = \ln(1/5) = -\ln 5\), hence \(t = \tau \ln 5 = 2~\text{ms} \times 1.609 = 3.22~\text{ms}\). Note the natural log is mandatory here — using \(\log_{10} 5 \approx 0.699\) would give \(1.4~\text{ms}\), a wrong answer off by the factor 2.303.

Quick recap

The exponential toolkit in one breath

  • \(e \approx 2.718\); \(y = e^x\) has slope equal to its height, so \(\dfrac{d}{dx}e^x = e^x\) and \(\dfrac{d}{dx}\ln x = \dfrac{1}{x}\).
  • \(\ln\) is base \(e\), \(\log_{10}\) is base 10, and \(\ln x = 2.303\log_{10}x\). Physics decay uses \(\ln\).
  • Log laws: \(\ln(ab) = \ln a + \ln b\), \(\ln(a/b) = \ln a - \ln b\), \(\ln(a^n) = n\ln a\). There is no rule for \(\ln(a+b)\).
  • Decay: \(N = N_0 e^{-\lambda t}\). Linearise as \(\ln N = \ln N_0 - \lambda t\), slope \(-\lambda\).
  • Half-life \(T_{1/2} = (\ln 2)/\lambda = 0.693/\lambda\); time constant \(\tau = 1/\lambda\); \(T_{1/2} = 0.693\,\tau\).
  • After \(n\) half-lives the fraction left is \((1/2)^n\).

Where this shows up in NEET physics

No questions are set on logarithms in the abstract. Every mark comes through a physics process that decays exponentially. Three carry the bulk of the weight.

Modern Physics · Nuclei

Radioactive decay: \(N = N_0 e^{-\lambda t}\), with activity \(A = \lambda N = A_0 e^{-\lambda t}\).

The number of undecayed nuclei falls exponentially with decay constant \(\lambda\). Half-life follows from \(T_{1/2} = (\ln 2)/\lambda\), and the mean life is \(\tau = 1/\lambda\). NEET questions ask for the fraction remaining after a given number of half-lives — answer \((1/2)^n\) — or the time to fall to a stated activity, \(t = (1/\lambda)\ln(A_0/A)\). Both invert the exponential with the natural log. See radioactive decay law.

Current Electricity · RC and LR transients

Capacitor charge \(q = q_0\!\left(1 - e^{-t/RC}\right)\); discharge \(q = q_0 e^{-t/RC}\); inductor current \(i = i_0\!\left(1 - e^{-Rt/L}\right)\).

Charging and discharging are governed by the time constant \(\tau = RC\) for capacitors and \(\tau = L/R\) for inductors. After one \(\tau\) a discharging capacitor holds \(1/e \approx 37\%\) of its charge; a charging one reaches \(63\%\). Typical NEET items ask for the time to reach a stated fraction, solved by taking \(\ln\) of the exponential factor, exactly as in Worked Example 3. See LCR circuits and transients.

Thermal Physics · Newton's law of cooling

Cooling: \((T - T_s) = (T_0 - T_s)\,e^{-kt}\).

The temperature excess of a body over its surroundings, \(T - T_s\), decays exponentially with cooling constant \(k\). Linearising gives \(\ln(T - T_s) = \ln(T_0 - T_s) - kt\), a straight line whose slope yields \(k\). NEET problems supply two temperature readings at known times and ask for a third, which reduces to one application of the natural log on the ratio of excess temperatures.

FAQs — Logarithms & Exponentials

Short answers to the exponential and logarithm questions NEET aspirants get wrong most often.

What is the difference between ln and log₁₀?
ln is the logarithm to base \(e \approx 2.718\); \(\log_{10}\) is the logarithm to base 10. They are proportional: \(\ln x = 2.303\,\log_{10} x\). Physics decay and circuit problems use ln because \(e^{-\lambda t}\) is the natural form; physical-chemistry problems quoting pH or pK use \(\log_{10}\). The most common NEET error is substituting \(\log_{10}\) where ln is required, which scales every answer by 2.303.
Why is eˣ called the function that is its own derivative?
Because \(\frac{d}{dx}e^x = e^x\) exactly. The base \(e \approx 2.718\) is the unique base for which the curve \(y = b^x\) has slope equal to its own height at every point. This self-replicating property is why every natural growth and decay process — radioactivity, capacitor charging, cooling — is governed by \(e\) rather than by 2 or 10.
How is half-life related to the decay constant?
For \(N = N_0 e^{-\lambda t}\), the half-life is the time for \(N\) to fall to \(N_0/2\). Setting \(e^{-\lambda T} = 1/2\) and taking ln gives \(\lambda T_{1/2} = \ln 2\), so \(T_{1/2} = \ln 2 / \lambda \approx 0.693/\lambda\). The decay constant and half-life are inversely related; a larger \(\lambda\) means faster decay and a shorter half-life.
What is the time constant τ and how does it differ from half-life?
The time constant \(\tau\) is the time for a quantity to fall to \(1/e \approx 37\%\) of its initial value, so \(\tau = 1/\lambda\). The half-life is the time to fall to \(50\%\), so \(T_{1/2} = \tau \ln 2 \approx 0.693\,\tau\). They describe the same exponential at two reference levels; \(\tau\) is natural for RC and LR circuits (\(\tau = RC\), \(\tau = L/R\)), \(T_{1/2}\) for radioactivity.
Why do we take the logarithm of both sides of a decay equation?
Taking ln of \(N = N_0 e^{-\lambda t}\) gives \(\ln N = \ln N_0 - \lambda t\), a straight line in \(t\) with slope \(-\lambda\) and intercept \(\ln N_0\). Linearising turns an exponential into a line, so the decay constant can be read directly off the slope of a semilog plot — far easier to extract experimentally than fitting a curve.
What is the integral of e^(−λt)?
\(\int e^{-\lambda t}\,dt = -\frac{1}{\lambda}e^{-\lambda t} + C\). The chain rule runs in reverse: differentiating \(-\frac{1}{\lambda}e^{-\lambda t}\) gives back \(e^{-\lambda t}\). This integral appears whenever you sum a decaying current, such as the total charge delivered by a discharging capacitor, \(\int_0^\infty I_0 e^{-t/RC}\,dt = I_0 RC\).
After how many half-lives does only one-eighth of a sample remain?
Three half-lives. Each half-life halves the amount: after one \(T_{1/2}\) a half remains, after two a quarter, after three an eighth. The general rule is \(N = N_0(1/2)^{t/T_{1/2}}\), so the fraction remaining after \(n\) half-lives is \((1/2)^n\).